@mastersthesis {7363,
	title = {Planification int{\'e}gr{\'e}e des fonctions production, maintenance, qualit{\'e} et environnement dans les cha{\^\i}nes logistiques en boucle ferm{\'e}e},
	year = {In Preparation},
	type = {Doctorat LMD},
	author = {Merghem, Mohammed}
}
@mastersthesis {7362,
	title = {Management du revenu dans une cha{\^\i}ne logistique en boucle ferm{\'e}e},
	year = {In Preparation},
	type = {Doctorat LMD},
	author = {Bouzar, Souhila}
}
@mastersthesis {7361,
	title = {Contr{\^o}le de la Qualit{\'e} des Produits en Temps R{\'e}el bas{\'e} sur le Syst{\`e}me de Vision Industrielle},
	year = {In Preparation},
	type = {Doctorat LMD},
	author = {Baguigui, Saida}
}
@mastersthesis {7360,
	title = {Application Of Data Mining Techniques For Knowledge Discovery In An Industrial System},
	year = {In Preparation},
	type = {Doctorat LMD},
	author = {Sahraoui, Khaoula}
}
@mastersthesis {7359,
	title = {D{\'e}veloppement des nouvelles politiques hybrides de manufacturing/remanufacturing: Approche d\&rsquo;optimisation bas{\'e}e sur la simulation},
	year = {In Preparation},
	type = {Doctorat LMD},
	author = {Lahmar, Houria}
}
@mastersthesis {7358,
	title = {Maximisation du revenu dans les probl{\`e}mes de lot sizing},
	year = {In Preparation},
	type = {Doctorat LMD},
	author = {Boultifة Bahia}
}
@mastersthesis {7357,
	title = {Am{\'e}lioration du DDMRP (Demand Driven) },
	year = {In Preparation},
	type = {Doctorat LMD},
	author = {Benchadi, Yousra}
}
@mastersthesis {7356,
	title = {Solar map generation for Different applications under algerian Climate},
	year = {In Preparation},
	type = {Doctorat LMD},
	author = {Megaache, Salah-Eddine}
}
@mastersthesis {7355,
	title = {D{\'e}veloppement d\&$\#$39;un cadre int{\'e}gr{\'e} des approches Lean Six Sigma et Industrie 4.0 pour  une performance organisationnelle durable: Etude de cas},
	year = {In Preparation},
	type = {Doctorat LMD},
	author = {Meddour, Hasna}
}
@mastersthesis {7354,
	title = {Impact du diagnostic sur l\&rsquo;{\'e}valuation des performances d\&rsquo;un syst{\`e}me dynamique tol{\'e}rant aux fautes},
	year = {In Preparation},
	type = {Doctorat LMD},
	author = {Benyoucef, Rania}
}
@mastersthesis {7353,
	title = {Ordonnancement multi-objectifs des processus de production multi-lignes},
	year = {In Preparation},
	type = {Doctorat LMD},
	author = {Mansouri, Miled}
}
@mastersthesis {7352,
	title = {Proposition d\&$\#$39;une technique pour la Sant{\'e} et S{\'e}curit{\'e} au Travail en utilisant l\&$\#$39;IoT},
	year = {In Preparation},
	type = {Doctorat LMD},
	author = {DJEGHAR, Dina}
}
@mastersthesis {7351,
	title = {Proposition d\&$\#$39;une d{\'e}marche d\&$\#$39;implantation d\&$\#$39;une maintenance pr{\'e}dictive intelligente (PdM 4.0) pour l\&$\#$39;industrie du futur},
	year = {In Preparation},
	type = {Doctorat LMD},
	author = {Beayati, Souleyman}
}
@mastersthesis {7350,
	title = {Supervision et pilotage automatique d\&rsquo;un syst{\`e}me de production industriel dans le Cloud Computing utilisant Machine Learning},
	year = {In Preparation},
	type = {Doctorat LMD},
	author = {Meguellatti, Abderrahmane}
}
@mastersthesis {7349,
	title = {Contribution {\`a} l\&rsquo;am{\'e}lioration de mesure de la performance de la chaine logistique d\&rsquo;un syst{\`e}me de production complexe par une maitrise conjointe du lean sigma et la th{\'e}orie des contraintes},
	year = {In Preparation},
	type = {Doctorat LMD},
	author = {Bouzidi, Houssem-Eddine}
}
@mastersthesis {7348,
	title = {Deep Learning pour le Diagnostic des D{\'e}faillances et le Pronostic de l\&rsquo;Etat des syst{\`e}mes Electrom{\'e}caniques : Application aux Syst{\`e}mes de R{\'e}cup{\'e}ration des Energies Renouvelables},
	year = {In Preparation},
	type = {Doctorat LMD},
	author = {RAHMOUNI, Djemaa}
}
@mastersthesis {7347,
	title = {Proposition d\&rsquo;un syst{\`e}me de suivi d\&rsquo;un produit fini en utilisant des algorithmes Intelligent},
	year = {In Preparation},
	type = {Doctorat LMD},
	author = {Benrabah, Mohamed-Elamine}
}
@mastersthesis {7346,
	title = {Le Deep  Reinforcement Learning pour le d{\'e}veloppement d\&rsquo;un syst{\`e}me de supervision en temps r{\'e}el pour une usine intelligente},
	year = {In Preparation},
	type = {Doctorat LMD},
	author = {Madjour, Hassina}
}
@mastersthesis {7345,
	title = {M{\'e}thodes avanc{\'e}es d\&rsquo;Intelligence Artificielle pour la pr{\'e}vision des {\'e}nergies renouvelables},
	year = {In Preparation},
	type = {Doctorat LMD},
	author = {Louchene, Houssem-Eddine}
}
@mastersthesis {7344,
	title = {Deep Learning Et R{\'e}alit{\'e} Mixte Pour La Supervision D\&rsquo;un Syst{\`e}me De Production},
	year = {In Preparation},
	type = {Doctorat LMD},
	author = {Derrardja, Abbas}
}
@mastersthesis {7343,
	title = {L\&rsquo;int{\'e}gration de la Maintenance industrielle comme un Service dans l\&rsquo;industrie 4.0},
	year = {In Preparation},
	type = {Doctorat LMD},
	author = {Bouhentala, Aicha}
}
@mastersthesis {7342,
	title = {Conception d\&rsquo;une mise {\`a} niveau mat{\'e}rielle et logicielle d\&rsquo;un syst{\`e}me de contr{\^o}le-commande (DCS : Distributed Control System)},
	year = {In Preparation},
	type = {Doctorat LMD},
	author = {Righi Amine}
}
@mastersthesis {7341,
	title = {Mod{\'e}lisation et Optimisation des syst{\`e}mes renouvelables hybrides pour les sites autonomes},
	year = {In Preparation},
	type = {Doctorat LMD},
	author = {Zereg, Hadda}
}
@mastersthesis {7340,
	title = {Elaboration d\&rsquo;un Module de Diagnostic sous Contraintes dans le cadre d\&rsquo;une Strat{\'e}gie de Commande Tol{\'e}rante aux D{\'e}fauts},
	year = {In Preparation},
	type = {Doctorat LMD},
	author = {Hadjidj, Nadjiha}
}
@mastersthesis {7339,
	title = {Contribution {\`a} l\&rsquo;am{\'e}lioration des strat{\'e}gies de maintenance},
	year = {In Preparation},
	type = {Doctorat LMD},
	author = {Soltani, Khaoula}
}
@mastersthesis {7338,
	title = {Conception d\&rsquo;une mise {\`a} niveau mat{\'e}rielle et logicielle d\&rsquo;un syst{\`e}me de contr{\^o}le-commande (DCS : Distributed Control System)},
	year = {In Preparation},
	type = {Doctorat LMD},
	author = {Righi, Amine}
}
@mastersthesis {7337,
	title = {Contribution {\`a} la mise en place d\&rsquo;une solution distribu{\'e}e intelligente pour le choix de la technique d\&rsquo;ordonnancement ad{\'e}quate},
	year = {In Preparation},
	type = {Doctorat LMD},
	author = {Abdessamed, Adnane}
}
@mastersthesis {7336,
	title = {Vers un pronostic de d{\'e}faillances des syst{\`e}mes dynamiques complexes par les Bond Graphs},
	year = {In Preparation},
	type = {Doctorat LMD},
	author = {Mebarki, Nassima}
}
@mastersthesis {7335,
	title = {L\&rsquo;optimisation de l\&rsquo;extension d\&rsquo;un probl{\`e}me d\&rsquo;ordonnancement classique},
	year = {In Preparation},
	type = {Doctorat LMD},
	author = {Boukelkoul, Zakaria}
}
@mastersthesis {7333,
	title = {Une plate-forme e-maintenance par les syst{\`e}mes Immunitaire Artificiels},
	year = {In Preparation},
	type = {Doctorat en sciences  },
	author = {Haboussi, Amar}
}
@mastersthesis {7332,
	title = {Contribution au Diagnostic des Pannes pour les Syst{\`e}mes Eoliens},
	year = {In Preparation},
	type = {Doctorat en sciences  },
	author = {Soussa, Abdelkrim}
}
@mastersthesis {7331,
	title = {Ordonnancement d\&rsquo;un Syst{\`e}me de production pour une Gestion Optimale d\&rsquo;Energie},
	year = {In Preparation},
	type = {Doctorat en sciences  },
	author = {Bouakaz, Amina}
}
@mastersthesis {7330,
	title = {Strat{\'e}gie de la Supervision Industrielle pour la Conduite d\&rsquo;un Syst{\`e}me de Production Complexe : Vers une architecture Centralis{\'e}e},
	year = {In Preparation},
	type = {Doctorat en sciences  },
	author = {Sonia Benaicha}
}
@mastersthesis {7329,
	title = {Contribution a l\&rsquo;Am{\'e}lioration du Diagnostic Industriel Multi-Crit{\`e}res},
	year = {In Preparation},
	type = {Doctorat en sciences  },
	author = {Rezzoug, Lilia}
}
@mastersthesis {7328,
	title = {Contribution {\`a} la pr{\'e}vision a base d\&rsquo;analyse stochastique multicrit{\`e}re participative des performances d\&rsquo;un syst{\`e}me de production industriel},
	year = {In Preparation},
	type = {Doctorat en sciences  },
	author = {Bouhidel, lynda}
}
@mastersthesis {7327,
	title = {Proposition d\&rsquo;un syst{\`e}me de tra{\c c}abilit{\'e} et location {\`a} l\&rsquo;aide des r{\'e}seaux sans fils},
	year = {In Preparation},
	type = {Doctorat en sciences  },
	author = {Mehannaoui, Raouf}
}
@mastersthesis {7326,
	title = {Conception d\&$\#$39;un syst{\`e}me d\&rsquo;aide {\`a} la maintenance collaborative bas{\'e}e sur la r{\'e}alit{\'e} mixte},
	year = {In Preparation},
	type = {Doctorat en sciences  },
	author = {Hamidene, Rabie}
}
@mastersthesis {7325,
	title = {La Politique De Suret{\'e} De Fonctionnement Dans Les Syst{\`e}mes Industriels : Application aux stations d\&rsquo;{\'e}puration dites step},
	year = {In Preparation},
	type = {Doctorat en sciences  },
	author = {Noune, Mohamed-Said}
}
@mastersthesis {7324,
	title = {Probl{\`e}me de planification de la production avec coordination et recyclage},
	year = {In Preparation},
	type = {Doctorat en sciences  },
	author = {Boutarfa, Youcef}
}
@mastersthesis {7323,
	title = {Contribution {\`a} l\&rsquo;{\'e}valuation fonctionnelle des syst{\`e}mes industriels pour La maitrise des risques},
	year = {In Preparation},
	type = {Doctorat en sciences  },
	author = {Salima Zeghdani}
}
@mastersthesis {7322,
	title = {Contribution {\`a} l\&rsquo;utilisation des r{\'e}seaux d\&rsquo;achat Electroniques (e-sourcing) en vue de l\&rsquo;optimisation des structures d\&rsquo;approvisionnements de l\&rsquo;alg{\'e}rienne des textiles},
	year = {In Preparation},
	type = {Doctorat en sciences  },
	author = {Ameur, Zouina}
}
@mastersthesis {7321,
	title = {Syst{\`e}me intelligent d\&rsquo;aide {\`a} la d{\'e}cision pour la pr{\'e}diction et l\&rsquo;optimisation des param{\`e}tres d\&rsquo;un  forage p{\'e}trolier},
	year = {In Preparation},
	type = {Doctorat en sciences  },
	author = {Rezki, Djamil}
}
@mastersthesis {7320,
	title = {Approche de l\&rsquo;usine intelligente dans l\&rsquo;industrie 4.0, en utilisant le concept d\&rsquo;internet objets},
	year = {In Preparation},
	type = {Doctorat en sciences  },
	author = {BOUHAFNA, Khayreddine}
}
@mastersthesis {7319,
	title = {. Proposition d\&rsquo;un mod{\`e}le de mesure du capital intellectuel pour la cr{\'e}ation de la valeur dans un syst{\`e}me industriel},
	year = {In Preparation},
	type = {Doctorat en sciences  },
	author = {Brahmi, Samira}
}
@mastersthesis {7318,
	title = {Am{\'e}lioration du lean management d\&rsquo;un syst{\`e}me industriel},
	year = {In Preparation},
	type = {Doctorat en sciences  },
	author = {Taouririt, Kamel}
}
@mastersthesis {7317,
	title = {Impl{\'e}mentation d\&rsquo;un syst{\`e}me quadratique int{\'e}gr{\'e} et l\&rsquo;{\'e}tude de son impact sur les performances globales d\&rsquo;un syst{\`e}me industriel},
	year = {In Preparation},
	type = {Doctorat en sciences  }
}
@mastersthesis {7309,
	title = {Contribution {\`a} la r{\'e}solution des probl{\`e}mes d\&rsquo;ordonnancements en temps r{\'e}el dans un syst{\`e}me de production de type Job Shop },
	year = {In Preparation},
	type = {Doctorat en sciences  },
	author = {Hadri, Abdelkader}
}
@mastersthesis {7305,
	title = {D{\'e}veloppement de m{\'e}thodes hybrides pour le pronostic des syst{\`e}mes de production},
	year = {In Preparation},
	type = {Doctorat en sciences  },
	author = {Bouzenita, Mohammed}
}
@mastersthesis {7301,
	title = {Gestion des approvisionnements et des {\'e}changes de produits {\'e}quivalents dans les r{\'e}seaux logistiques multi niveau : Coop{\'e}ration plusieurs entreprises},
	year = {In Preparation},
	type = {Doctorat LMD},
	author = {Benfriha, Abdennour -Ilyas}
}
@article {7689,
	title = {Quo Vadis Machine Learning-Based Systems Condition Prognosis?\&mdash;A Perspective},
	journal = {Electronics },
	volume = {12},
	number = {3},
	year = {2023},
	pages = {527},
	abstract = {
	Data-driven prognostics and health management (PHM) is key to increasing the productivity of industrial processes through accurate maintenance planning. The increasing complexity of the systems themselves, in addition to cyber-physical connectivity, has brought too many challenges for the discipline. As a result, data complexity challenges have been pushed back to include more decentralized learning challenges. In this context, this perspective paper describes these challenges and provides future directions based on a relevant state-of-the-art review.

},
	url = {https://www.mdpi.com/2079-9292/12/3/527},
	author = {Mohamed Benbouzid and Berghout, Tarek}
}
@article {7688,
	title = {Lithium-ion Battery State of Health Prediction with a Robust Collaborative Augmented Hidden Layer Feedforward Neural Network Approach},
	journal = {IEEE Transactions on Transportation Electrification},
	year = {2023},
	abstract = {
	Lithium-ion (Li-ion) batteries play an important role in providing necessary energy when acting as a main or backup source of electricity. Indeed, the unavailability of battery aging discharge data in most real-world applications makes the State of Health (SoH) assessment very challenging. Alternatively, accelerated aging is therefore adopted to emulate the degradation process and to achieve an SoH estimate. However, accelerated aging generates limited deterioration patterns suffering from a higher level of complexity due to the non-linearity and non-stationarity imposed by harsh conditions. In this context, this paper aims to provide a predictive model capable of solving incomplete data problems by providing two main solutions for each of the problems of complexity and missing patterns, respectively. First, to overcome the problem of lack of patterns, a robust collaborative feature extractor (RCFE) is designed by collaborating between a set of improved restricted Boltzmann machines (I-RBMs) to be able to share learning knowledge among different locally trained I-RBMs to create a more generalized global extraction model. Second, a set of RCFEs is then evolved through a neural network with an augmented hidden layer (NAHL) to enhance the predictive ability by further exploring representation learning to overcome pattern complexity issues. The designed RCFE-NAHL is trained to predict SoH using constant current (CC) discharge characteristics by implying multiple characteristics recorded through the constant voltage (CV) charging process as indicators of health. The proposed SoH prediction approach performances are evaluated on a set of battery life cycles from the well-known NASA database. In this context, the achieved results clearly highlight the higher accuracy and robustness of the proposed learning model.

},
	url = {https://ieeexplore.ieee.org/document/10018362},
	author = {Berghout, Tarek and Mohamed Benbouzid and Amirat, Yassine and Yao, Gang}
}
@article {7687,
	title = {2DF-IDS: Decentralized and differentially private federated learning-based intrusion detection system for industrial IoT},
	journal = {Computers \& Security},
	volume = {127},
	year = {2023},
	abstract = {
	Advanced technologies, such as the\&nbsp;Internet of Things\&nbsp;(IoT) and\&nbsp;Artificial Intelligence\&nbsp;(AI), underpin many of the innovations in\&nbsp;Industry 4.0. However, the\&nbsp;interconnectivity\&nbsp;and open nature of such systems in smart industrial facilities can also be targeted and abused by\&nbsp;malicious actors, which reinforces the importance of cyber security. In this paper, we present a secure, decentralized, and Differentially Private (DP)\&nbsp;Federated Learning\&nbsp;(FL)-based\&nbsp;IDS\&nbsp;(2DF-IDS), for securing smart industrial facilities. The proposed 2DF-IDS comprises three\&nbsp;building blocks, namely: a\&nbsp;key exchange protocol\&nbsp;(for securing the communicated weights among all peers in the system), a differentially private gradient exchange scheme (achieve improved privacy of the FL approach), and a decentralized FL approach (that mitigates the single point of failure/attack risk associated with the aggregation server in the conventional FL approach). We evaluate our proposed system through detailed experiments using a real-world IoT/IIoT dataset, and the results show that the proposed 2DF-IDS system can identify different types of\&nbsp;cyber attacks\&nbsp;in an Industrial IoT system with high performance. For instance, the proposed system achieves comparable performance (94.37\%) with the centralized learning approach (94.37\%) and outperforms the FL-based approach (93.91\%) in terms of accuracy. The proposed system is also shown to improve the overall performance by 12\%, 13\%, and 9\% in terms of F1-score, recall, and precision, respectively, under strict privacy settings when compared to other competing FL-based\&nbsp;IDS\&nbsp;solutions.

},
	url = {https://www.sciencedirect.com/science/article/abs/pii/S016740482300007X},
	author = {Othmane, Friha and Ferrag, Mohamed-Amine and Mohamed Benbouzid and Berghout, Tarek and Burak, Kantarci and Kim-Kwang, Raymond-Choo}
}
@article {7686,
	title = {Faulty Detection System Based on SPC and Machine Learning Techniques},
	journal = {Revue de l{\textquoteright}Intelligence Artificielle},
	year = {2023},
	pages = {969-977},
	abstract = {
	Starting from a worrying observation, that companies have difficulties controlling the anomalies of their manufacturing processes, in order to have a better control over them, we have realized a case study on the practical data of the Fertial Complex to analyze the main parameters of the ammonia neutralization by nitric acid process. This article proposes a precise diagnostic of this process to detect dysfunction problems affecting the final product. We start with a general diagnosis of the process using the SPC method, this approach is considered an excellent way to monitor and improve the product quality and provides very useful observations that allowed us to detect the parameters that suffer from problems affecting the quality. After the discovery of the parameters incapable to produce the quality required by the standards, we applies two machine learning technologies dedicated to the type of data of these parameters for detected the anomaly, the first technique called The kernel connectivity-based outlier factor (COF) algorithm consists in recording for each object the degree of being an outlier, the second technique called the Isolation Forest, its principle is to establish a forest to facilitate the calculation and description. The results obtained were compared in order to choose which is the best algorithm to monitor and detect the problems of these parameters, we find that the COF method is more efficient than the isolation forest which leads us to rely on this technology in this kind of process in order to avoid passing a bad quality to the customer in future.

},
	url = {https://www.iieta.org/journals/ria/paper/10.18280/ria.360619},
	author = {Benrabah, Mohamed-Elamine and Ouahab Kadri and Mouss, Nadia-Kenza}
}
@article {7231,
	title = {IoT-based food traceability system: Architecture, technologies, applications, and future trends},
	journal = {Food Control},
	volume = {145},
	year = {2023},
	abstract = {
	An effective Food Traceability System (FTS) in a Food Supply Chain (FSC) should adequately provide all necessary information to the consumer(s), meet the requirements of the relevant agencies, and improve food safety as well as consumer confidence. New information and communication technologies are rapidly advancing, especially after the emergence of the Internet of Things (IoT). Consequently, new food traceability systems have become mainly based on IoT. Many studies have been conducted on food traceability. They mainly focused on the practical implementation and theoretical concepts. Accordingly, various definitions, technologies, and principles have been proposed. The {\textquotedblleft}traceability{\textquotedblright} concept has been defined in several ways and each new definition has tried to generalize its previous ones. Nevertheless, no standard definition has been reached. Furthermore, the architecture of IoT-based food traceability systems has not yet been standardized. Similarly, used technologies in this field have not been yet well classified. This article presents an analysis of the existing definitions of food traceability, and thus proposes a new one that aims to be simpler, general, and encompassing than the previous ones. We also propose, through this article, a new architecture for IoT-based food traceability systems as well as a new classification of technologies used in this context. We do not miss discussing the applications of different technologies and future trends in the field of IoT-based food traceability systems. Mainly, an FTS can make use of three types of technologies: Identification and Monitoring Technologies (IMT), Communication Technologies (CT), and Data Management Technologies (DMT). Improving a food traceability system requires the use of the best new technologies. There is a variety of promising technologies today to enhance FTS, such as fifth-generation (5G) mobile communication systems and distributed ledger technology (DLT).

},
	url = {https://www.sciencedirect.com/science/article/abs/pii/S0956713522006028$\#$!},
	author = {Mehannaoui, Raouf and Mouss, Kinza-Nadia and Aksa,  Karima}
}
@article {7225,
	title = {Development of an advanced application process of Lean Manufacturing approach based on a new integrated MCDM method under Pythagorean fuzzy environment},
	journal = {Journal of Cleaner Production},
	volume = {386},
	year = {2023},
	abstract = {
	The growth of manufacturing industries and the huge competitive environment forced manufacturing organizations to develop advanced improvement strategies and enhance their sustainability performance. The integration of sustainable Manufacturing in industrial operations leads to enhanced process performances through the reduction of wastes, cost, and environmental impacts and satisfies ergonomic conditions. For this reason, various firms have adopted sustainable manufacturing concepts to enhance their performances and hold a prestigious competitive position. The purpose of this research is to develop an integrated Pythagorean Fuzzy MCDM model to enhance the application process of the conventional Lean Manufacturing approach (LM). Firstly, an extended Value Steam Mapping is proposed to assess the sustainability of the manufacturing process and identify the causes of waste from a sustainability viewpoint. Secondly, Pythagorean Fuzzy Decision-Making Trial And Evaluation Laboratory (PF-DEMATEL) is employed to analyze the interrelationship among the identified. Thirdly, Pythagorean Fuzzy Technique for Order Preference by Similarity to Ideal Solution (PF-TOPSIS) is introduced to prioritize a set of solutions in order to overcome the investigated causes and improve the durability of the manufacturing operations. Finally, sensitivity analysis is conduced to assess the effectiveness of the obtained results. The proposed method has several attractive features. It can address the drawbacks of the conventional LM and enhance its analysis and improvement tasks. However, the proposed approach offers an advanced application process for Lean Manufacturing in a sustainability context. Additionally, the suggested strategy facilitates the leaders to assess the current state of the manufacturing processes and select the appropriate solutions for successful sustainability implementation. The validity of the proposed approach was investigated in a real case study. The results confirm its effectiveness and indicate that using MCDM approaches in LM application process offers a consistent and flexible demarche for sustainable manufacturing implementation.

},
	url = {https://www.sciencedirect.com/science/article/abs/pii/S0959652622053057},
	author = {Mohyiddine Soltani and Aouag, Hichem and Anass, Cherrafi and Mohamed Djamel Mouss}
}
@article {7224,
	title = {Improvement of Lean Manufacturing approach based on MCDM techniques for sustainable manufacturing},
	journal = {International Journal of Manufacturing Research},
	volume = {18},
	number = {1},
	year = {2023},
	abstract = {
	Over the past few decades, Lean Manufacturing (LM) has been the pinnacle of strategies applied for cost and waste reduction. However as the search for competitive advantage and production growth continues, there is a growing consciousness towards environmental preservation. With this consideration in mind this research investigates and applies Value Stream Mapping (VSM) techniques to aid in reducing environmental impacts of manufacturing companies. The research is based on empirical observation within the Chassis weld plant of Company X. The observation focuses on the weld operations and utilizes the cross member line of Auxiliary Cross as a point of study. Using various measuring instruments to capture the emissions emitted by the weld and service equipment, data is collected. The data is thereafter visualised via an Environmental Value Stream Map (EVSM) using a 7-step method. It was found that the total lead-time to build an Auxiliary Cross equates to 16.70 minutes and during this process is emitted. It was additionally found that the UPR x LWR stage of the process indicated both the highest cycle time and carbon emissions emitted and provides a starting point for investigation on emission reduction activity. The EVSM aids in the development of a method that allows quick and comprehensive analysis of energy and material flows. The results of this research are important to practitioners and academics as it provides an extension and further capability of Lean Manufacturing tools. Additionally, the EVSM provides a gateway into realising environmental benefits and sustainable manufacturing through Lean Manufacturing.

},
	url = {https://www.sciencegate.app/document/10.1504/ijmr.2023.10040708},
	author = {Aouag, Hichem and Mohyiddine Soltani}
}
@article {7205,
	title = {Federated Learning for Condition Monitoring of Industrial Processes: A Review on Fault Diagnosis Methods, Challenges, and Prospects},
	journal = {Electronics},
	volume = {12},
	number = {1},
	year = {2023},
	abstract = {
	Condition monitoring (CM) of industrial processes is essential for reducing downtime and increasing productivity through accurate Condition-Based Maintenance (CBM) scheduling. Indeed, advanced intelligent learning systems for Fault Diagnosis (FD) make it possible to effectively isolate and identify the origins of faults. Proven smart industrial infrastructure technology enables FD to be a fully decentralized distributed computing task. To this end, such distribution among different regions/institutions, often subject to so-called data islanding, is limited to privacy, security risks, and industry competition due to the limitation of legal regulations or conflicts of interest. Therefore, Federated Learning (FL) is considered an efficient process of separating data from multiple participants to collaboratively train an intelligent and reliable FD model. As no comprehensive study has been introduced on this subject to date, as far as we know, such a review-based study is urgently needed. Within this scope, our work is devoted to reviewing recent advances in FL applications for process diagnostics, while FD methods, challenges, and future prospects are given special attention.

},
	url = {https://www.mdpi.com/2079-9292/12/1/158?type=check_update\&version=1},
	author = {Berghout, Tarek and Mohamed Benbouzid and Toufik Bentrcia and Lim, Wei-Hong and Amirat, Yassine}
}
@article {7204,
	title = {ProgNet: A Transferable Deep Network for Aircraft Engine Damage Propagation Prognosis under Real Flight Conditions},
	journal = {Aerospace},
	volume = {10},
	number = {1},
	year = {2023},
	abstract = {
	Machine learning prognosis for condition monitoring of safety-critical systems, such as aircraft engines, continually faces challenges of data unavailability, complexity, and drift. Consequently, this paper overcomes these challenges by introducing adaptive deep transfer learning methodologies, strengthened with robust feature engineering. Initially, data engineering encompassing: (i) principal component analysis (PCA) dimensionality reduction; (ii) feature selection using correlation analysis; (iii) denoising with empirical Bayesian Cauchy prior wavelets; and (iv) feature scaling is used to obtain the required learning representations. Next, an adaptive deep learning model, namely ProgNet, is trained on a source domain with sufficient degradation trajectories generated from PrognosEase, a run-to-fail data generator for health deterioration analysis. Then, ProgNet is transferred to the target domain of obtained degradation features for fine-tuning. The primary goal is to achieve a higher-level generalization while reducing algorithmic complexity, making experiments reproducible on available commercial computers with quad-core microprocessors. ProgNet is tested on the popular New Commercial Modular Aero-Propulsion System Simulation (N-CMAPSS) dataset describing real flight scenarios. To the extent we can report, this is the first time that all N-CMAPSS subsets have been fully screened in such an experiment. ProgNet evaluations with numerous metrics, including the well-known CMAPSS scoring function, demonstrate promising performance levels, reaching 234.61 for the entire test set. This is approximately four times better than the results obtained with the compared conventional deep learning models.

},
	url = {https://www.mdpi.com/2226-4310/10/1/10},
	author = {Berghout, Tarek and Mouss, Mohamed-Djamel and Le{\"\i}la-Hayet Mouss and Mohamed Benbouzid}
}
@mastersthesis {7316,
	title = {Pronostic/diagnostic appliqu{\'e} aux syst{\`e}mes complexes dans un contexte d\&$\#$39;optimisation des strat{\'e}gies de maintenance},
	year = {2022},
	type = {Habilitation Universitaire},
	author = {Djelloul, Imen}
}
@mastersthesis {7315,
	title = {Management Industrie},
	year = {2022},
	type = {Habilitation Universitaire},
	author = {Bala, Kamel}
}
@mastersthesis {7304,
	title = {Exploration du Potentiel de la vision artificielle pour lareconnaissance d\&$\#$39;objets en vue d\&$\#$39;une conception d\&$\#$39;un dispositif intelligent dans un context industriel},
	year = {2022},
	type = {Doctorat en sciences  },
	url = {http://eprints.univ-batna2.dz/1994/},
	author = {Bellal, Salah-Eddine}
}
@proceedings {7288,
	title = {Multi-objective production planning of new and remanufactured products in hybrid production system},
	journal = {10th IFAC Conference Onmanufacturing Modelling, Management And Control 22-24 June },
	year = {2022},
	address = { Nantes, France},
	author = {Lahmar, Houria and Dahane, Mohammed and Mouss, Nadia-Kenza and Haoues, Mohammed}
}
@conference {7287,
	title = {Integrated production and maintenance planning in hybrid manufacturing-remanufacturing system with outsourcing opportunities},
	booktitle = {4th International Conference on Industry 4.0 and Smart Manufacturing Procedia Computer Science },
	year = {2022},
	publisher = {ScienceDirect},
	organization = {ScienceDirect},
	author = {Merghem, Mohammed and Haoues, Mohammed and Mouss, Kinza-Nadia and Dahane, Mohammed and Senoussi, Ahmed}
}
@conference {7286,
	title = {Production planning optimisation in a sustainable hybrid manufacturing remanufacturing production system},
	booktitle = {3rd International Conference on Industry 4.0 and Smart Manufacturing Procedia Computer Science 200},
	year = {2022},
	publisher = {ScienceDirect},
	organization = {ScienceDirect},
	author = {Lahmar, Houria and Dahane, Mohammed and Mouss, Nadia-Kinza and Haoues, Mohammed}
}
@proceedings {7285,
	title = {Products exchange in a multi-level multi-period distribution network with limited storage capacity},
	journal = {2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)},
	year = {2022},
	address = {2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)},
	abstract = {
	Cooperation in distribution network has attracted the interest of researchers. In this study we analyse an inventory problem in distribution network, where we propose a cooperative platform that allow the members of the network to share and use local inventory of other members to meet their local demand. We develop a MIP models representing the traditional network and the network with the cooperative platform. Then we solve it using LINGO solver. We found that the proposed approach has reduced the total cost of the network and reduce the overstock and stock-out situation, which lead to improve the quality of service.

},
	url = {https://ieeexplore.ieee.org/document/9738100},
	author = {Benfriha, Abdennour -Ilyas and Triqui-Sari, Lamia and Bougloula, Aimed-Eddine and BENNEKROUF, Mohammed}
}
@proceedings {7280,
	title = {Use of Petri Nets to Model the Maintenance of Multi Site Compagny},
	journal = {International Congress of Energies and Engineering of Industrial ProcessesCEGPI{\textquoteright}22, 23 - 25 May},
	year = {2022},
	address = {Algiers, Algeria },
	author = {Soltani Khaoula and Benzouai Messaoud and Mouss Mohamed Djamel}
}
@proceedings {7279,
	title = {Use of Petri Nets to Model the Maintenance of Multi Site Compagny},
	journal = {International Congress of Energies and Engineering of Industrial ProcessesCEGPI{\textquoteright}22 23 - 25 May },
	year = {2022},
	address = { Algiers, Algeria },
	author = {Soltani, Khaoula and Benzouai, Messaoud and Mouss, Mohamed-Djamel}
}
@proceedings {7272,
	title = {Selection The Appropriate Learning Machine For Fault Diagnosis With Big-Data Environment In Photovoltaic Systems},
	journal = {IGSCONG{\textquoteright}22, Jun },
	year = {2022},
	address = {Turkey},
	author = {Hadjidj, Nadjiha and Meriem Benbrahim and Leila-Hayet Mouss}
}
@proceedings {7271,
	title = {Web Fuzzy Based Autonomous Control System},
	journal = {4th International Conference on Engineering Science and Technology (ICEST2022) 16th-17th of February },
	year = {2022},
	address = {Luxor, Egypt},
	author = {Zermane, Hannane}
}
@proceedings {7270,
	title = {Improving Supervised Machine Learning Models for Face Recognition: a Comparative Study},
	journal = {4th International Conference on Engineering Science and Technology (ICEST2022) 16th-7th of February},
	year = {2022},
	address = {Luxor, Egypt},
	author = {Zermane, Hannane}
}
@proceedings {7258,
	title = {Detecting Cyberthreats in Smart Grids Using Small-Scale Machine Learning},
	journal = {ELECTRIMACS 2022},
	year = {2022},
	address = {Nancy, France},
	abstract = {
	Due to advanced monitoring technologies including the plug-in of the cyber and physical layers on the Internet, cyber-physical systems are becoming more vulnerable than ever to cyberthreats leading to possible damage of the system. Consequently, many researchers have devoted to studying detection and identification of such threats in order to mitigate their drawbacks. Among used tools, Machine Learning (ML) has become dominant in the field due to many usability characteristics including the blackbox models availability. In this context, this paper is dedicated to the detection of cyberattacks in Smart Grid (SG) networks which uses industrial control systems (ICS), through the integration of ML models assembled on a small scale. More precisely, it therefore aims to study an electric traction substation system used for the railway industry. The main novelty of our contribution lies in the study of the behaviour of more realistic data than the traditional studies previously shown in the state of the art literature by investigating even more realistic types of attacks. It also emulates data analysis and a larger feature space under most commonly used connectivity protocols in today{\textquoteright}s industry such as S7Comm and Modbus.

},
	url = {https://www.researchgate.net/publication/360756643_Detecting_Cyberthreats_in_Smart_Grids_Using_Small-Scale_Machine_Learning},
	author = {Berghout, Tarek and Mohamed Benbouzid}
}
@proceedings {7257,
	title = {Improving Small-scale Machine Learning with Recurrent Expansion for Fuel Cells Time Series Prognosis},
	journal = {48th Annual Conference of the IEEE Industrial Electronics Society (IECON 2022)},
	year = {2022},
	address = {Brussels, Belgium},
	abstract = {
	The clean energy conversion characteristics of proton exchange membrane fuel cells (PEMFCs) have given rise to many applications, particularly in transportation. Unfortunately, the commercial application of PEMFCs is hampered by the early deterioration and low durability of the cells. In this case, accurate real-time condition monitoring plays an important role in extending the lifespan of PEMFCs through accurate planning of maintenance tasks. Accordingly, among the widely used modeling tools such as model-driven and data-driven, machine learning has received much attention and has been extensively studied in the literature. Small-scale machine learning (SML) and Deep Learning (DL) are subcategories of machine learning that have been exploited so far. In this context and since SML usually contains non-expansive approximators, this study was dedicated to improving its feature representations for better predictions. Therefore, a recurrent expansion experiment was conducted for several rounds to investigate a linear regression model under time series prognosis of PEMFCs. The results revealed that the prediction performance of SML tools under stationary conditions could be further improved.

},
	url = {https://ieeexplore.ieee.org/document/9968566},
	author = {Berghout Tarek and Mohamed Benbouzid and Amirat, Yassine}
}
@proceedings {7256,
	title = {Deep Learning with Recurrent Expansion for Electricity Theft Detection in Smart Grids},
	journal = {48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022 },
	year = {2022},
	address = {Brussels, Belgium},
	abstract = {
	The increase in electricity theft has become one of the main concerns of power distribution networks. Indeed, electricity theft could not only lead to financial losses, but also leads to reputation damage by reducing the quality of supply. With advanced sensing technologies of metering infrastructures, data collection of electricity consumption enables data-driven methods to emerge in such non-technical loss detections as an alternative to traditional experience-based human-centric approaches. In this context, such fraud prediction problems are generally a thematic of missing patterns, class imbalance, and higher level of cardinality where there are many possibilities that a single feature can assume. Therefore, this article is introduced specifically to solve data representation problem and increase the sparseness between different data classes. As a result, deeper representations than deep learning networks are introduced to repeatedly merge the learning models themselves into a more complex architecture in a sort of recurrent expansion. To verify the effectiveness of the proposed recurrent expansion of deep learning (REDL) approach, a realistic dataset of electricity theft is involved. Consequently, REDL has achieved excellent data mapping results proven by both visualization and numerical metrics and shows the ability of separating different classes with higher performance. Another important REDL feature of outliers correction has been also discovered in this study. Finally, comparison to some recent works also proved superiority of REDL model.

},
	url = {https://ieeexplore.ieee.org/document/9968378},
	author = {Berghout, Tarek and Mohamed Benbouzid and Ferrag, Mohamed-Amine}
}
@proceedings {7255,
	title = {Selection The Appropriate Learning Machine For Fault Diagnosis With Big-Data Environment In Photovoltaic Systems.},
	journal = {IGSCONG{\textquoteright}22. Jun 2022 },
	year = {2022},
	address = {Turkey},
	author = {Hadjidj, Nadjiha~ and Meriem Benbrahim and Leila-Hayet Mouss}
}
@proceedings {7254,
	title = {A Knowledge Transfer Approach for Online PEMFC Degradation prediction with Uncertainty Quantification},
	journal = {12th International Conference on Power, Energy and Electrical Engineering (CPEEE)},
	year = {2022},
	address = {Shiga, Japan},
	abstract = {
	Proton Exchange Membrane Fuel Cells (PEMFCs) are a key challenger for the world{\textquoteright}s future clean and renewable energy solution. Yet, fuel cells are susceptible to operating conditions and hydrogen impurities, leading to performance loss over time in service. Hence, performance degradation prediction is gaining attention recently for fuel cell system reliability. In this work, we present a knowledge transfer approach for online voltage drop prediction. A dual-path convolution neural network is proposed to extract linearity and non-linearity from historical data and performs multi-steps ahead prediction with uncertainty quantification. Online voltage prediction is then evaluated with and without knowledge transfer using two different PEMFC datasets. Results indicate that our proposed approach with transfer knowledge can predict the voltage drop accurately with a small uncertainty range compared to the conventional approach.

},
	url = {https://ieeexplore.ieee.org/document/9738717},
	author = {Benaggoune, Khaled and Meiling, Yue and Jemei, Samir and Zerhouni, Noureddine}
}
@article {7234,
	title = {Surveillance Des Zones Critiques Et Des Acc{\`e}s Non Autoris{\'e}s En Utilisant La Technologie Rfid},
	journal = {khazzartech الاقتصاد الصناعي},
	volume = {12},
	number = {1},
	year = {2022},
	pages = {702-717},
	abstract = {
	La surveillance est la fonction d{\textquoteright}observer toutes activit{\'e}s humaine ou environnementales dans le but de superviser, contr{\^o}ler ou m{\^e}me r{\'e}agir sur un cas particulier; ce qu{\textquoteright}on appelle la supervision ou le monitoring. La technologie de la radio-identification, connue sous l{\textquoteright}abr{\'e}viation RFID (de l{\textquoteright}anglais Radio Frequency IDentification), est l{\textquoteright}une des technologies utilis{\'e}es pour r{\'e}cup{\'e}rer des donn{\'e}es {\`a} distance de les m{\'e}moriser et m{\^e}me de les traiter. C{\textquoteright}est une technologie d{\textquoteright}actualit{\'e} et l{\textquoteright}une des technologies de l{\textquoteright}industrie 4.0 qui s{\textquoteright}int{\`e}gre dans de nombreux domaines de la vie quotidienne notamment la surveillance et le contr{\^o}le d{\textquoteright}acc{\`e}s. L{\textquoteright}objectif de cet article est de montrer comment prot{\'e}ger et surveiller en temps r{\'e}el des zones industrielles critiques et de tous types d{\textquoteright}acc{\`e}s non autoris{\'e}s de toute personne (employ{\'e}s, visiteurs{\textellipsis}) en utilisant la technologie RFID et cela {\`a} travers des exemples de simulation {\`a} l{\textquoteright}aide d{\textquoteright}un simulateur d{\'e}di{\'e} aux r{\'e}seaux de capteurs.

},
	url = {https://www.asjp.cerist.dz/en/article/194786},
	author = {Aksa,  Karima and Harrag,Mohieddine}
}
@article {7230,
	title = {Production planning optimisation in a sustainable hybrid manufacturing remanufacturing production system},
	journal = {Procedia Computer Science},
	volume = {200},
	year = {2022},
	pages = {1244-1253},
	abstract = {
	In this study, we investigate a production planning problem in hybrid manufacturing remanufacturing production system. The objective is the determine the best mix between the manufacturing of new products, and the remanufacturing of recovered products, based on economic and environmental considerations. It consists to determine the best manufacturing and remanufacturing plans to minimising the total economic cost (start-up and production costs of new and remanufactured products, storage costs of new and returned products and disposal costs) and the carbon emissions (new products, remanufactured products and disposed products). The hybrid system consists of a set of machines used to produce new products and remanufactured products of different grades (qualities). We assume that remanufacturing is more environmentally efficient, because it allows to reduce the disposal of used products. A multi-objective mathematical model is developed, and a non dominated sorting genetic algorithm (NSGA-II) based approach is proposed. Numerical experience is presented to study the impact of carbon emissions generated by new, remanufactured and disposed products, over a production horizon of several periods.

},
	url = {https://www.sciencedirect.com/science/article/pii/S1877050922003349},
	author = {Lahmar, Houria and Dahane, Mohammed and Mouss, Nadia-Kinza and Haoues, Mohammed}
}
@article {7223,
	title = {Benchmarking framework for sustainable manufacturing based MCDM techniques Benchmarking},
	journal = {Benchmarking: An International Journal},
	volume = {29},
	number = {1},
	year = {2022},
	abstract = {
	Purpose



	
		The purpose of this paper is to develop a model for sustainable manufacturing by adopting a combined approach using AHP, fuzzy TOPSIS and fuzzy EDAS methods. The proposed model aims to identify and prioritize the sustainable factors and technical requirements that help in improving the sustainability of manufacturing processes.
	



	Design/methodology/approach



	
		The proposed approach integrates both AHP, Fuzzy EDAS and Fuzzy TOPSIS. AHP method is used to generate the weights of the sustainable factors. Fuzzy EDAS and Fuzzy TOPSIS are applied to rank and determine the application priority of a set of improvement approaches. The ranks carried out from each MCDM approach is assessed by computing the spearman{\textquoteright}s correlation coefficient.
	



	Findings



	
		The results reveal the proposed model is efficient in sustainable factors and the technical requirements prioritizing. In addition, the results carried out from this study indicate the high efficiency of AHP, Fuzzy EDAS and Fuzzy TOPSIS in decision making. Besides, the results indicate that the model provides a useable methodology for managers{\textquoteright} staff to select the desirable sustainable factors and technical requirements for sustainable manufacturing.
	



	Research limitations/implications



	
		The main limitation of this paper is that the proposed approach investigates an average number of factors and technical requirements.
	



	Originality/value



	
		This paper investigates an integrated MCDM approach for sustainable factors and technical requirements prioritization. In addition, the presented work pointed out that AHP, Fuzzy EDAS and Fuzzy TOPSIS approach can manipulate several conflict attributes in a sustainable manufacturing context.
	

},
	url = {https://www.emerald.com/insight/content/doi/10.1108/BIJ-08-2020-0452/full/html},
	author = {Aouag, Hichem and Soltani, Mohyeddine and Soltani, Mohyeddine}
}
@article {7222,
	title = {A multiple criteria decision-making improvement strategy in complex manufacturing processes},
	journal = {International Journal of Operational Research},
	volume = {45},
	number = {2},
	year = {2022},
	abstract = {
	The purpose of this paper is to propose an improvement strategy based on multi-criteria decision making approaches, including fuzzy analytic hierarchy process (AHP), preference ranking organisation method for enrichment evaluation II (PROMETHEE) and vi{\v s}ekriterijumsko kompromisno rangiranje (VIKOR) for the objective of simplifying and organising the improvement process in complex manufacturing processes. Firstly, the proposed strategy started with the selection of decision makers{\textquoteright}, such as company leaders, to determine performance indicators. Then fuzzy AHP is used to quantify the weight of each defined indicators. Finally, the weights carried out from fuzzy AHP approach are used as input in VIKOR and PROMETHE II to rank the operations according to their improvement priority. The results obtained from each outranking method are compared and the best method is determined.

},
	url = {https://www.inderscience.com/info/inarticle.php?artid=126075},
	author = {Mohyiddine Soltani and Aouag, Hichem and Mouss, Mohammed-Djamel}
}
@article {7218,
	title = {Deep learning in Logistics: systematic review},
	journal = {International Journal of Logistics Systems and Management},
	year = {2022},
	abstract = {
	Logistics is one of the main tactics that countries and businesses are improving in order to increase profits. Another prominent theme in today{\textquoteright}s logistics is emerging technologies. Today{\textquoteright}s developments in logistics and industry are how to profit from collected and accessible data to use it in various processes such as decision making, production plan, logistics delivery programming, and so on, and more specifically deep learning methods. The aim of this paper is to identify the various applications of deep learning in logistics through a systematic literature review. A set of research questions had been identified to be answered by this article.

},
	url = {https://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=ijlsm},
	author = {Sahraoui, Khaoula and Samia Aitouche and Aksa,  Karima}
}
@article {7217,
	title = {Development of an efficient cement production monitoring system based on the improved random forest algorithm},
	journal = {The International Journal of Advanced Manufacturing Technology},
	volume = {120},
	year = {2022},
	pages = {1853},
	abstract = {
	Strengthening production plants and process control functions contribute to a global improvement of manufacturing systems because of their cross-functional characteristics in the industry. Companies established various innovative and operational strategies; there is increasing competitiveness among them and increasing companies{\textquoteright} value. Machine learning (ML) techniques become an intelligent enticing option to address industrial issues in the current manufacturing sector since the emergence of Industry 4.0 and the extensive integration of paradigms such as big data and high computational power. Implementing a system able to identify faults early to avoid critical situations in the production line and its environment is crucial. Therefore, powerful machine learning algorithms are performed for fault diagnosis, real-time data classification, and predicting the state of functioning of the production line. Random forests proved to be a better classifier with an accuracy of 97\%, compared to the SVM model{\textquoteright}s accuracy which is 94.18\%. However, the K-NN model{\textquoteright}s accuracy is about 93.83\%. An accuracy of 80.25\% is achieved by the logistic regression model. About 83.73\% is obtained by the decision tree{\textquoteright}s model. The excellent experimental results reached on the random forest model demonstrated the merits of this implementation in the production performance, ensuring predictive maintenance and avoiding wasting energy.

},
	url = {https://link.springer.com/article/10.1007/s00170-022-08884-z},
	author = {Hanane Zermane and Drardja, Abbes}
}
@article {7203,
	title = {Cybersecurity Enhancement of Smart Grid: Attacks, Methods, and Prospects},
	journal = {Electronics},
	volume = {11},
	number = {23},
	year = {2022},
	abstract = {
	Smart grid is an emerging system providing many benefits in digitizing the traditional power distribution systems. However, the added benefits of digitization and the use of the Internet of Things (IoT) technologies in smart grids also poses threats to its reliable continuous operation due to cyberattacks. Cyber{\textendash}physical smart grid systems must be secured against increasing security threats and attacks. The most widely studied attacks in smart grids are false data injection attacks (FDIA), denial of service, distributed denial of service (DDoS), and spoofing attacks. These cyberattacks can jeopardize the smooth operation of a smart grid and result in considerable economic losses, equipment damages, and malicious control. This paper focuses on providing an extensive survey on defense mechanisms that can be used to detect these types of cyberattacks and mitigate the associated risks. The future research directions are also provided in the paper for efficient detection and prevention of such cyberattacks.

},
	url = {https://www.mdpi.com/2079-9292/11/23/3854},
	author = {Inayat, Usman and Zia, Muhammad-Fahad and Mahmood, Sajid and Berghout, Tarek and Mohamed Benbouzid}
}
@article {7202,
	title = {Tifinagh Handwriting Character Recognition Using a CNN Provided as a Web Service},
	journal = {International Journal of Cloud Applications and Computing (IJCAC) },
	volume = {12},
	number = {1},
	year = {2022},
	abstract = {
	Many cloud providers offer very high precision services to exploit Optical Character Recognition (OCR). However, there is no provider offers Tifinagh Optical Character Recognition (OCR) as Web Services. Several works have been proposed to build powerful Tifinagh OCR. Unfortunately, there is no one developed as a Web Service. In this paper, we present a new architecture of Tifinagh Handwriting Recognition as a web service based on a deep learning model via Google Colab. For the implementation of our proposal, we used the new version of the TensorFlow library and a very large database of Tifinagh characters composed of 60,000 images from the Mohammed Vth University in Rabat. Experimental results show that the TensorFlow library based on a Tensor processing unit constitutes a very promising framework for developing fast and very precise Tifinagh OCR web services. The results show that our method based on convolutional neural network outperforms existing methods based on support vector machines and extreme learning machine.

},
	url = {https://www.igi-global.com/article/tifinagh-handwriting-character-recognition-using-a-cnn-provided-as-a-web-service/297093},
	author = {Ouahab Kadri and Abderrezak Benyahia and Adel Abdelhadi}
}
@article {7201,
	title = {A data-driven method for multi-step-ahead prediction and long-term prognostics of proton exchange membrane fuel cell},
	journal = {Applied Energy},
	volume = {313},
	number = {1},
	year = {2022},
	abstract = {
	Fuel cell technology\&nbsp;has been rapidly developed in the last decade owing to its clean characteristic and high efficiency.\&nbsp;Proton exchange membrane fuel cells\&nbsp;(PEMFCs) are increasingly used in transportation applications and small stationary applications; however, the cost and the unsatisfying durability of the PEMFC stack have limited their successful\&nbsp;commercialization\&nbsp;and market penetration. In recent years, thanks to the availability and the quality of emerging data of PEMFCs, digitization is happening to offer possibilities to increase the productivity and the flexibility in\&nbsp;fuel cell applications. Therefore, it is crucial to clarify the potential of digitization measures, how and where they can be applied, and their benefits. This paper focuses on the\&nbsp;degradation performance\&nbsp;of the PEMFC stacks and develops a data-driven intelligent method to predict both the short-term and long-term degradation. The dilated\&nbsp;convolutional neural network\&nbsp;is for the first time applied for predicting the time-dependent\&nbsp;fuel cell performance\&nbsp;and is proved to be more efficient than other\&nbsp;recurrent networks. To deal with the long-term performance uncertainty, a conditional neural network is proposed. Results have shown that the proposed method can predict not only the degradation tendency, but also contain the degradation behaviour dynamics.

},
	url = {https://www.sciencedirect.com/science/article/abs/pii/S0306261922002756},
	author = {Benaggoune, Khaled and Yue, Meiling and Jemei, Samir and Zerhouni, Noureddine}
}
@article {7200,
	title = {An efficient classification rule generation for coronary artery disease diagnosis using a novel discrete equilibrium optimizer algorithm},
	journal = { Journal of Intelligent \& Fuzzy Systems},
	volume = {43},
	number = {3},
	year = {2022},
	pages = {2315-2331},
	abstract = {
	Many machine learning-based methods have been widely applied to Coronary Artery Disease (CAD) and are achieving high accuracy. However, they are black-box methods that are unable to explain the reasons behind the diagnosis. The trade-off between accuracy and interpretability of diagnosis models is\&nbsp;important, especially for human disease. This work aims to propose an approach for generating rule-based models for CAD diagnosis. The classification rule generation is modeled as combinatorial optimization problem and it can be solved by means of metaheuristic algorithms. Swarm intelligence algorithms like Equilibrium Optimizer Algorithm (EOA) have demonstrated great performance in solving different optimization problems. Our present study comes up with a Novel Discrete Equilibrium Optimizer Algorithm (NDEOA) for the classification rule generation from training CAD dataset. The proposed NDEOA is a discrete version of EOA, which use a discrete encoding of a particle for representing a classification rule; new discrete operators are also defined for the particle{\textquoteright}s position update equation to adapt real operators to discrete space. To evaluate the proposed approach, the real world Z-Alizadeh Sani dataset has been employed. The proposed approach generate a diagnosis model composed of 17 rules, among them, five rules for the class {\textquotedblleft}Normal{\textquotedblright} and 12 rules for the class {\textquotedblleft}CAD{\textquotedblright}. In comparison to nine black-box and eight white-box state-of-the-art approaches, the results show that the generated diagnosis model by the proposed approach is more accurate and more interpretable than all white-box models and are competitive to the black-box models. It achieved an overall accuracy, sensitivity and specificity of 93.54\%, 80\% and 100\% respectively; which show that, the proposed approach can be successfully utilized to generate efficient rule-based CAD diagnosis models.

},
	url = {https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs213257},
	author = {Haouassi, Hichem and Rafik Mahdaoui and Ouahiba Chouhal and Bekhouche, Abdelaali}
}
@article {7199,
	title = {A new binary grasshopper optimization algorithm for feature selection problem},
	journal = {Journal of King Saud University - Computer and Information Sciences},
	volume = {34},
	number = {2},
	year = {2022},
	abstract = {
	The grasshopper optimization algorithm is one of the recently population-based optimization techniques inspired by the behaviours of grasshoppers in nature. It is an efficient optimization algorithm and since demonstrates excellent performance in solving continuous problems, but cannot resolve directly binary\&nbsp;optimization problems. Many optimization problems have been modelled as binary problems since their decision variables varied in binary space such as feature selection in\&nbsp;data classification. The main goal of feature selection is to find a small size subset of feature from a sizeable original set of features that optimize the\&nbsp;classification accuracy. In this paper, a new binary variant of the grasshopper optimization algorithm is proposed and used for the feature subset selection problem. This proposed new binary grasshopper optimization algorithm is tested and compared to five well-known swarm-based algorithms used in feature selection problem. All these algorithms are implemented and experimented assessed on twenty data sets with various sizes. The results demonstrated that the proposed approach could outperform the other tested methods.

},
	url = {https://www.sciencedirect.com/science/article/pii/S1319157819308900},
	author = {Haouassi, Hichem and Haouassi, Hichem and Mehdaoui, Rafik and Maarouk,Toufik Mesaaoud and Ouahiba Chouhal}
}
@article {7198,
	title = {A Heterogeneous Federated Transfer Learning Approach with Extreme Aggregation and Speed},
	journal = {Mathematics},
	volume = {10},
	number = {19},
	year = {2022},
	abstract = {
	Federated learning (FL) is a data-privacy-preserving, decentralized process that allows local edge devices of smart infrastructures to train a collaborative model independently while keeping data localized. FL algorithms, encompassing a well-structured average of the training parameters (e.g., the weights and biases resulting from training-based stochastic gradient descent variants), are subject to many challenges, namely expensive communication, systems heterogeneity, statistical heterogeneity, and privacy concerns. In this context, our paper targets the four aforementioned challenges while focusing on reducing communication and computational costs by involving recursive least squares (RLS) training rules. Accordingly, to the best of our knowledge, this is the first time that the RLS algorithm is modified to completely accommodate non-independent and identically distributed data (non-IID) for federated transfer learning (FTL). Furthermore, this paper also introduces a newly generated dataset capable of emulating such real conditions and of making data investigation available on ordinary commercial computers with quad-core microprocessors and less need for higher computing hardware. Applications of FTL-RLS on the generated data under different levels of complexity closely related to different levels of cardinality lead to a variety of conclusions supporting its performance for future uses.

},
	url = {https://www.mdpi.com/2227-7390/10/19/3528},
	author = {Berghout, Tarek and Toufik Bentrcia and Ferrag, Mohamed-Amine and Mohamed Benbouzid}
}
@article {7196,
	title = {Exposing Deep Representations to a Recurrent Expansion with Multiple Repeats for Fuel Cells Time Series Prognosis},
	journal = {Le{\"\i}la-Hayet },
	volume = {24},
	number = {7},
	year = {2022},
	abstract = {
	The green conversion of proton exchange membrane fuel cells (PEMFCs) has received particular attention in both stationary and transportation applications. However, the poor durability of PEMFC represents a major problem that hampers its commercial application since dynamic operating conditions, including physical deterioration, have a serious impact on the cell performance. Under these circumstances, prognosis and health management (PHM) plays an important role in prolonging durability and preventing damage propagation via the accurate planning of a condition-based maintenance (CBM) schedule. In this specific topic, health deterioration modeling with deep learning (DL) is the widely studied representation learning tool due to its adaptation ability to rapid changes in data complexity and drift. In this context, the present paper proposes an investigation of further deeper representations by exposing DL models themselves to recurrent expansion with multiple repeats. Such a recurrent expansion of DL (REDL) allows new, more meaningful representations to be explored by repeatedly using generated feature maps and responses to create new robust models. The proposed REDL, which is designed to be an adaptive learning algorithm, is tested on a PEMFC deterioration dataset and compared to its deep learning baseline version under time series analysis. Using multiple numeric and visual metrics, the results support the REDL learning scheme by showing promising performances.

},
	url = {https://www.mdpi.com/1099-4300/24/7/1009},
	author = {Berghout, Tarek and Mohamed Benbouzid and Toufik Bentrcia and Amirat, Yassine and Le{\"\i}la-Hayet Mouss}
}
@article {7195,
	title = {Machine learning for cybersecurity in smart grids: A comprehensive review-based study on methods, solutions, and prospects},
	journal = {International Journal of Critical Infrastructure Protection},
	volume = {38},
	year = {2022},
	abstract = {
	In modern Smart Grids (SGs) ruled by advanced computing and networking technologies, condition monitoring relies on secure cyberphysical connectivity. Due to this connection, a portion of transported data, containing confidential information, must be protected as it is vulnerable and subject to several cyber threats. SG cyberspace adversaries attempt to gain access through networking platforms to commit several criminal activities such as disrupting or malicious manipulation of whole electricity delivery process including generation, distribution, and even customer services such as billing, leading to serious damage, including financial losses and loss of reputation. Therefore, human awareness training and software technologies are necessary precautions to ensure the reliability of data traffic and power transmission. By exploring the available literature, it is undeniable that Machine Learning (ML) has become the latest in the timeline and one of the leading artificial intelligence technologies capable of detecting, identifying, and responding by mitigating adversary attacks in SGs. In this context, the main objective of this paper is to review different ML tools used in recent years for cyberattacks analysis in SGs. It also provides important guidelines on ML model selection as a global solution when building an attack predictive model. A detailed classification is therefore developed with respect to data security triad, i.e., Confidentiality, Integrity, and Availability (CIA) within different types of cyber threats, systems, and datasets. Furthermore, this review highlights the various encountered challenges, drawbacks, and possible solutions as future prospects for ML cybersecurity applications in SGs.

},
	url = {https://ideas.repec.org/a/eee/ijocip/v38y2022ics1874548222000348.html},
	author = {Berghout, Tarek and Mohamed Benbouzid and Muyeen, S-M}
}
@article {7194,
	title = {EL-NAHL: Exploring labels autoencoding in augmented hidden layers of feedforward neural networks for cybersecurity in smart grids},
	journal = {Reliability Engineering \& System Safety},
	volume = {226},
	year = {2022},
	abstract = {
	Reliability and security\&nbsp;of power distribution\&nbsp;and data traffic in smart grid (SG) are very important for industrial control systems (ICS). Indeed, SG cyber-physical connectivity is subject to several vulnerabilities that can damage or disrupt its process immunity via cyberthreats. Today{\textquoteright}s ICSs are experiencing highly complex data change and dynamism, increasing the complexity of detecting and mitigating cyberattacks. Subsequently, and since Machine Learning (ML) is widely studied in cybersecurity, the objectives of this paper are twofold. First, for algorithmic simplicity, a small-scale\&nbsp;ML algorithm\&nbsp;that attempts to reduce computational costs is proposed. The algorithm adopts a\&nbsp;neural network\&nbsp;with an augmented hidden layer (NAHL) to easily and efficiently accomplish the learning procedures. Second, to solve the data complexity problem regarding rapid change and dynamism, a label autoencoding approach is introduced for Embedding Labels in the NAHL (EL-NAHL) architecture to take advantage of labels propagation when separating data scatters. Furthermore, to provide a more realistic analysis by addressing real-world threat scenarios, a dataset of an electric traction\&nbsp;substation\&nbsp;used in the high-speed rail industry is adopted in this work. Compared to some existing algorithms and other previous works, the achieved results show that the proposed EL-NAHL architecture is effective even under massive dynamically changed and imbalanced data.

},
	url = {https://www.sciencedirect.com/science/article/abs/pii/S0951832022003131},
	author = {Berghout, Tarek and Mohamed Benbouzid}
}
@article {7193,
	title = {A Systematic Guide for Predicting Remaining Useful Life with Machine Learning},
	journal = {Electronics},
	volume = {11},
	number = {7},
	year = {2022},
	abstract = {
	Prognosis and health management (PHM) are mandatory tasks for real-time monitoring of damage propagation and aging of operating systems during working conditions. More definitely, PHM simplifies conditional maintenance planning by assessing the actual state of health (SoH) through the level of aging indicators. In fact, an accurate estimate of SoH helps determine remaining useful life (RUL), which is the period between the present and the end of a system{\textquoteright}s useful life. Traditional residue-based modeling approaches that rely on the interpretation of appropriate physical laws to simulate operating behaviors fail as the complexity of systems increases. Therefore, machine learning (ML) becomes an unquestionable alternative that employs the behavior of historical data to mimic a large number of SoHs under varying working conditions. In this context, the objective of this paper is twofold. First, to provide an overview of recent developments of RUL prediction while reviewing recent ML tools used for RUL prediction in different critical systems. Second, and more importantly, to ensure that the RUL prediction process from data acquisition to model building and evaluation is straightforward. This paper also provides step-by-step guidelines to help determine the appropriate solution for any specific type of driven data. This guide is followed by a classification of different types of ML tools to cover all the discussed cases. Ultimately, this review-based study uses these guidelines to determine learning model limitations, reconstruction challenges, and future prospects.

},
	url = {https://www.mdpi.com/2079-9292/11/7/1125},
	author = {Berghout, Tarek and Mohamed Benbouzid}
}
@article {7192,
	title = {A deep learning pipeline for breast cancer ki-67 proliferation index scoring},
	journal = {Image and Video Processing (eess.IV)},
	year = {2022},
	abstract = {
	The Ki-67 proliferation index is an essential biomarker that helps pathologists to diagnose and select appropriate treatments. However, automatic evaluation of Ki-67 is difficult due to nuclei overlapping and complex variations in their properties. This paper proposes an integrated pipeline for accurate automatic counting of Ki-67, where the impact of nuclei separation techniques is highlighted. First, semantic segmentation is performed by combining the Squeez and Excitation Resnet and Unet algorithms to extract nuclei from the background. The extracted nuclei are then divided into overlapped and non-overlapped regions based on eight geometric and statistical features. A marker-based Watershed algorithm is subsequently proposed and applied only to the overlapped regions to separate nuclei. Finally, deep features are extracted from each nucleus patch using Resnet18 and classified into positive or negative by a random forest classifier. The proposed pipeline{\textquoteright}s performance is validated on a dataset from the Department of Pathology at H{\^o}pital Nord Franche-Comt{\'e} hospital.

},
	url = {https://arxiv.org/abs/2203.07452},
	author = {Benaggoune, Khaled and Al-Masry, Zeina and Ma, Jian and Devalland, Christine and Leila-Hayet Mouss and Zerhouni, Noureddine}
}
@article {7191,
	title = {New Approach for Failure Prognosis Using a Bond Graph, Gaussian Mixture Model and Similarity Techniques},
	journal = {Processes},
	volume = {10},
	number = {3},
	year = {2022},
	abstract = {
	This paper proposes a new approach for remaining useful life prediction that combines a bond graph, the Gaussian Mixture Model and similarity techniques to allow the use of both physical knowledge and the data available. The proposed method is based on the identification of relevant variables that carry information on degradation. To this end, the causal properties of the bond graph (BG) are first used to identify the relevant sensors through the fault observability. Then, a second stage of analysis based on statistical metrics is performed to reduce the number of sensors to only the ones carrying useful information for failure prognosis, thus, optimizing the data to be used in the prognosis phase. To generate data in the different system state, a simulator based on the developed BG is used. A Gaussian Mixture Model is then applied on the generated data for fault diagnosis and clustering. The Remaining Useful Life is estimated using a similarity technique. An application on a mechatronic system is considered for highlighting the effectiveness of the proposed approach.

},
	url = {https://www.mdpi.com/2227-9717/10/3/435},
	author = {Mebarki, Nassima and Benmoussa, Samir and Djeziri, Mohand and Le{\"\i}la-Hayet Mouss}
}
@article {7190,
	title = {New fusion frameworks including explicit weighting functions for the remaining useful life prognostics},
	journal = {Expert Systems with Applications},
	volume = {189},
	number = {1},
	year = {2022},
	abstract = {
	In the last recent years, a large community of researchers and industrial practitioners has been attracted by combining different prognostics models as such strategy results in boosted accuracy and robust performance compared to the exploitation of single models. The present work is devoted to the investigation of three new fusion schemes for the remaining useful life forecast. These integrated frameworks are based on aggregating a set of Gaussian process regression models thanks to the Induced Ordered Weighted Averaging Operators. The combination procedure is built upon three proposed analytical weighting schemes including exponential, logarithmic and\&nbsp;inverse functions. In addition, the uncertainty aspect is supported in this work, where the proposed functions are used to weighted average the variances released from competitive Gaussian process regression models. The training data are transformed into gradient values, which are adopted as new training data instead of the original observations. A lithium-ion battery data set is used as a benchmark to prove the efficiency of the proposed weighting schemes. The obtained results are promising and may provide some guidelines for future advances in performing robust fusion options to accurately estimate the remaining useful life.

},
	url = {https://www.sciencedirect.com/science/article/abs/pii/S0957417421014263},
	author = {Bouzenita, Mohammed and Le{\"\i}la-Hayet Mouss and Melgani, Farid and Toufik Bentrcia}
}
@article {7179,
	title = {A Semi-Supervised Deep Transfer Learning Approach for Rolling-Element Bearing Remaining Useful Life Prediction},
	journal = {IEEE Transactions on Energy Conversion},
	volume = {37},
	number = {2},
	year = {2022},
	abstract = {
	Deep learning techniques have recently brought many improvements in the field of neural network training, especially for prognosis and health management. The success of such an intelligent health assessment model depends not only on the availability of labeled historical data but also on the careful samples selection. However, in real operating systems such as induction machines, which generally have a long reliable life, storing the entire operation history, including deterioration (i.e., bearings), will be very expensive and difficult to feed accurately into the training model. Other alternatives sequentially store samples that hold degradation patterns similar to real ones in damage behavior by imposing an accelerated deterioration. Labels lack and differences in distributions caused by the imposed deterioration will ultimately discriminate the training model and limit its knowledge capacity. In an attempt to overcome these drawbacks, a novel sequence-by-sequence deep learning algorithm able to expand the generalization capacity by transferring obtained knowledge from life cycles of similar systems is proposed. The new algorithm aims to determine health status by involving long short-term memory neural network as a primary component of adaptive learning to extract both health stage and health index inferences. Experimental validation performed using the PRONOSTIA induction machine bearing degradation datasets clearly proves the capacity and higher performance of the proposed deep learning knowledge transfer-based prognosis approach.

},
	url = {https://ieeexplore.ieee.org/document/9552475},
	author = {Berghout, Tarek and Leila-Hayet Mouss and Toufik Bentrcia and Mohamed Benbouzid}
}
@book {7146,
	title = {Graph theory},
	year = {2022},
	pages = {76},
	edition = {Editions universitaires europ{\'e}ennes },
	abstract = {Graph theory is a vast field that constitutes a very important body of knowledge. Indeed, this book is just an introduction aiming at clarifying some essential points in this vital field: basic notions, some basic algorithms that are used to solve some classical and famous problems like path finding, tree finding, flow finding, ...etc. Finally, graph theory can be summarized by what Napoleon said: "A little drawing is better than a big speech".},
	author = {Aksa,  Karima}
}
@inbook {7145,
	title = {Data labeling impact on deep learning models indigital pathology: A breast cancer case study. ICCIS},
	booktitle = {Intelligent Vision in Healthcare},
	year = {2022},
	publisher = {Springer },
	organization = {Springer },
	author = {Benaggoune, Khaled and Al-masry, Z and Ma, J. Devalland and Zerhouni, N and Leila Hayet Mouss}
}
@mastersthesis {7314,
	title = {{\'E}tude, mise en {\oe}uvre et adaptabilit{\'e} des outils de l\&rsquo;am{\'e}lioration continue dans une industrie alg{\'e}rienne : Approches Th{\'e}orique et Pratique},
	year = {2021},
	type = {Habilitation Universitaire},
	author = {Aouag, Hichem}
}
@mastersthesis {7311,
	title = {Vers une Approche des Syst{\`e}mes Multi-Agents et M{\'e}thodes d\&rsquo;Emergence pour la Maintenance Syst{\'e}matique},
	year = {2021},
	author = {Adel Abdelhadi}
}
@mastersthesis {7308,
	title = {Optimisation Des Techniques de S{\'e}curisation Du Logiciel Via l\&rsquo;Analyse des Codes Malveillants},
	year = {2021},
	type = {Doctorat en sciences  },
	abstract = {
	De nos jours, la plupart des moteurs d{\textquoteright}analyse de solutions anti-malware sont heuristiques. Ils classent les objets, les flux de donn{\'e}es ainsi que les zones m{\'e}moires comme b{\'e}nins ou malveillants en fonction de leur comportement. La plupart des fabricants d{\textquoteright}antivirus reconnaissent que l{\textquoteright}approche heuristique permet d{\textquoteright}atteindre jusqu{\textquoteright}{\`a} 90\% d{\textquoteright}efficacit{\'e} en termes de taux de d{\'e}tection, mais consomme davantage de ressources syst{\`e}mes : de tels moteurs anti-malware, disponibles en open-source, sont extr{\^e}mement inefficaces en termes d{\textquoteright}utilisation de ressources syst{\`e}me car ils font souvent appel {\`a} des algorithmes d{\textquoteright}apprentissage automatique. Pour r{\'e}duire cette charge syst{\`e}me, il est fortement recommand{\'e} d{\textquoteright}utiliser la d{\'e}tection par signature statique, qui permet de filtrer {\`a} elle seule la majorit{\'e} des {\'e}chantillons de programmes malveillants connus, en conjonction avec les technologies de d{\'e}tection heuristiques et celles bas{\'e}es sur le cloud. Dans ce travail, nous pr{\'e}sentons un scanner de signatures rapide pour la d{\'e}tection de programmes malveillants, bas{\'e} sur une version am{\'e}lior{\'e}e de l{\textquoteright}algorithme Aho-Corasick pour la recherche de cha{\^\i}nes de caract{\`e}res (ou motifs), con{\c c}ue pour pouvoir b{\'e}n{\'e}ficier des techniques de vectorisation qui ajoutent une forme de parall{\'e}lisme de donn{\'e}es au code de l{\textquoteright}algorithme. La solution propos{\'e}e est impl{\'e}ment{\'e}e en utilisant le jeu d{\textquoteright}instructions d{\textquoteright}Intel{\textregistered} Advanced Vector Extensions (AVX2).

},
	url = {http://eprints.univ-batna2.dz/1922/},
	author = {Ourlis, Lazhar}
}
@mastersthesis {7307,
	title = {INT{\'E}GRATION D\&rsquo;UN MODULE DE RECONNAISSANCE DE LA PAROLE AU NIVEAU D\&rsquo;UN SYST{\`E}ME AUDIOVISUEL - APPLICATION T{\'E}L{\'E}VISEUR},
	year = {2021},
	type = {Doctorat en sciences  },
	abstract = {
	Cette th{\`e}se propose de concevoir et r{\'e}aliser un syst{\`e}me de reconnaissance automatique de la parole destin{\'e} {\`a} commander {\`a} distance un syst{\`e}me audiovisuel {\`a} savoir : un T{\'e}l{\'e}viseur. Le syst{\`e}me global "bout en bout" se scinde en deux blocs : le premier cherche {\`a} extraire les meilleures caract{\'e}ristiques {\`a} partir du signal vocal d{\textquoteright}entr{\'e}e. A cet effet, plusieurs techniques d{\textquoteright}extraction de caract{\'e}ristiques vont {\^e}tre examin{\'e}es et test{\'e}es. Concernant le deuxi{\`e}me bloc, nous mettons en {\'e}vidence une multitude de techniques relevant du domaine de l{\textquoteright}apprentissage profond, dont l{\textquoteright}impact est d{\textquoteright}adapter et de d{\textquoteright}affirmer les caract{\'e}ristiques extraites pour donner en final la classe de l{\textquoteright}{\'e}nonc{\'e}. La validation des diff{\'e}rentes m{\'e}thodologies pr{\'e}sent{\'e}es dans cette th{\`e}se a {\'e}t{\'e} effectu{\'e}e sur la base de deux jeux de donn{\'e}es r{\'e}elles, le premier est tenu compte pour une {\'e}valuation initiale, tandis que le second est con{\c c}u exclusivement pour le syst{\`e}me ASR propos{\'e} dans cette th{\`e}se. Les r{\'e}sultats obtenus ont certifi{\'e} l{\textquoteright}efficience des approches propos{\'e}es. Le d{\'e}fi pour les travaux futurs est d{\textquoteright}{\'e}valuer ce type de syst{\`e}me dans des conditions plus r{\'e}alistes avec des signaux vocaux issus des milieux bruit{\'e}s.

},
	url = {http://eprints.univ-batna2.dz/1918/},
	author = {Zerari, Naima}
}
@mastersthesis {7306,
	title = {Am{\'e}lioration du processus de capitalisation et de partage des connaissances pour la maximisation de la valeur d\&$\#$39;un syst{\`e}me de production},
	year = {2021},
	type = {Doctorat en sciences  },
	abstract = {
	Dans cette th{\`e}se, nous nous sommes int{\'e}ress{\'e}s {\`a} un mod{\`e}le de gestion des connaissances des entreprises industrielles. Certaines t{\^a}ches manufacturi{\`e}res impliquent un niveau {\'e}lev{\'e} de connaissance tacite des op{\'e}rateurs qualifi{\'e}s. L{\textquoteright}industrie a besoin des m{\'e}thodes fiables pour la capture et l{\textquoteright}analyse de ces connaissances tacites afin qu{\textquoteright}elles puissent {\^e}tre partag{\'e}es et sans aucune perte. Nous proposons, un mod{\`e}le de gestion contenant deux processus de gestion, le premier processus est la capitalisation des connaissances bas{\'e}e sur une t{\^a}che industrielle. Nous avons utilis{\'e} une combinaison de deux m{\'e}thodologies : une m{\'e}thodologie d{\textquoteright}ing{\'e}nierie de connaissances CommonKADS et une m{\'e}thodologie d{\textquoteright}{\'e}licitation des connaissances MACTAK. Dans la phase de mod{\'e}lisation, nous avons utilis{\'e} deux diff{\'e}rentes techniques de mod{\'e}lisation, une mod{\'e}lisation bas{\'e}e sur les connaissances d{\textquoteright}expert et la deuxi{\`e}me une repr{\'e}sentation ontologique. Ce mod{\`e}le facilite la capture des connaissances d{\textquoteright}experts et transforme les connaissances tacites en explicites avec une maximisation des r{\`e}gles de production. Le deuxi{\`e}me processus concerne le partage des connaissances {\`a} base d{\textquoteright}une ontologie des T{\^a}ches Manufacturi{\`e}res MATO en identifiant un ensemble des concepts de fabrication et leurs relations, cette ontologie propos{\'e}e facilite le partage des connaissances entre les t{\^a}ches de fabrication et aide {\`a} partager et {\`a} r{\'e}utiliser les connaissances durant l{\textquoteright}ex{\'e}cution des t{\^a}ches. Ensuite, une application propos{\'e}e pour le diagnostic de syst{\`e}me d{\textquoteright}alarme dans une centrale thermique a {\'e}t{\'e} pr{\'e}sent{\'e}e pour d{\'e}montrer l{\textquoteright}importance et l{\textquoteright}apport de l{\textquoteright}ontologie.

},
	url = {http://eprints.univ-batna2.dz/1944/},
	author = {Titah, Mawloud}
}
@mastersthesis {7303,
	title = {Mod{\'e}lisation de projet de conception de produit pour att{\'e}nuer les risques dans les processus de d{\'e}veloppement: {\'E}tude et analyse de la performance industrielle },
	year = {2021},
	type = {Doctorat en sciences  },
	author = {Bencherif, Fateh}
}
@mastersthesis {7302,
	title = {Un Syst{\`e}me de Reconnaissance de Formes Bas{\'e} sur une Approche Multi-Classifieurs},
	year = {2021},
	type = {Doctorat en sciences  },
	abstract = {
	Am{\'e}liorer la performance d{\textquoteright}un syst{\`e}me de reconnaissance de formes fait l{\textquoteright}objet de recherche dans de nombreuses disciplines. On obtient cette am{\'e}lioration par l{\textquoteright}optimisation dans les diff{\'e}rents partis du syst{\`e}me de reconnaissance de formes : les pr{\'e}traitements, l{\textquoteright}extraction des param{\`e}tres caract{\'e}ristique (primitives), la classification. Les travaux de recherche pr{\'e}sent{\'e}s dans cette th{\`e}se abordent le probl{\`e}me de la reconnaissance des chiffres arabe imprim{\'e}s et manuscrits. L{\textquoteright}objectif principal de ce travail est l{\textquoteright}am{\'e}lioration de la performance en terme de taux de reconnaissance par l{\textquoteright}application d{\textquoteright}un syst{\`e}me multi classificateur (MCS). Diff{\'e}rents classifieurs sont utilis{\'e}s (KPPV, PMC, SVM, LDA, Arbre de d{\'e}cision, Na{\"\i}ve Bayesien, Pseudo inverse), {\`a} l{\textquoteright}aide de diff{\'e}rents types de vecteurs de caract{\'e}ristiques extraite de l{\textquoteright}image. Enfin, comme les performances de MCS d{\'e}pendent des performances des classifieurs appliqu{\'e}e (les performances individuelles des classifieurs), et comme la performance d{\textquoteright}un classifieur d{\'e}pend ainsi des caract{\'e}ristiques utilis{\'e} l{\textquoteright}optimisation de l{\textquoteright}extractions des primitives pertinentes est {\'e}galement abord{\'e}e dans la th{\`e}se. Nous avons r{\'e}alis{\'e} plusieurs simulations pour {\'e}prouver les classifications, en introduisant des am{\'e}liorations dans les param{\`e}tres caract{\'e}ristiques et en faisant des combinaisons de classifieurs. Dans une premi{\`e}re partie, nous montrons l{\textquoteright}int{\'e}r{\^e}t de l{\textquoteright}utilisation des param{\`e}tres caract{\'e}ristique pertinente, {\`a} l{\textquoteright}aide des classifieur individuelle (s{\'e}par{\'e}, ind{\'e}pendants) comme source d{\textquoteright}inspiration pour la conception de nouveaux param{\`e}tres. Nous proposons en particulier une am{\'e}lioration de primitives pour la caract{\'e}risation des chiffres. On montre qu{\textquoteright}il est possible de d{\'e}velopper une solution efficace, {\`a} moindre co{\^u}t en terme de r{\'e}duction de vecteur caract{\'e}ristique et transformation g{\'e}om{\'e}trique. Donc, Le syst{\`e}me d{\'e}velopp{\'e} s{\textquoteright}articule autour de quatre modules distincts. Un module de pr{\'e}traitements, un d{\textquoteright}extraction des param{\`e}tres caract{\'e}ristique, un module de reconnaissance (classification) et un module de combinaison de classifieurs. Ce dernier est charg{\'e} de fusionner les sorties (d{\'e}cisions) de chaque classifieur basant sur des m{\'e}thodes (r{\`e}gles) de fusion. Les r{\'e}sultats obtenus sur les bases des chiffres imprim{\'e}s et la base MNIST des chiffres manuscrits sont prometteurs. Cette th{\`e}se apporte quelques contributions pour faire avancer notre compr{\'e}hension dans ce domaine de recherche en pleine expansion

},
	url = {http://eprints.univ-batna2.dz/1905/},
	author = {Derdour, Khedidja}
}
@mastersthesis {7300,
	title = {Supervision de Robot Manipulateur virtuel par Les r{\'e}seaux de neurones et les r{\'e}seaux de Petri},
	year = {2021},
	type = {Doctorat LMD},
	abstract = {
	Dans ce travail de th{\`e}se, nous avons propos{\'e} un syst{\`e}me de supervision appliqu{\'e} sur un robot manipulateur {\`a} deux degr{\'e}s de libert{\'e}. La supervision est utilis{\'e}e pour assurer la reconfiguration en temps r{\'e}el du robot. Dans ce syst{\`e}me nous avons utilis{\'e} une nouvelle m{\'e}thode de d{\'e}tection de d{\'e}faut (FD) de frottement visqueux du robot supervis{\'e} combin{\'e}e avec un module de commande tol{\'e}rante aux d{\'e}fauts (FTC).Le premier module, bas{\'e} sur une m{\'e}thode de traitement appliqu{\'e}e sur des r{\'e}sidus, va permettre la d{\'e}tection de d{\'e}faut pour bien estimer les corrections n{\'e}cessaires du deuxi{\`e}me module. Une {\'e}valuation de l{\textquoteright}effet de d{\'e}faut durant la supervision a {\'e}t{\'e} faite. Par ailleurs, le protocole TCP pour le transfert des donn{\'e}es entre le robot superviseur et le robot supervis{\'e} a {\'e}t{\'e} utilis{\'e}. Les r{\'e}sultats de simulation montrent que la m{\'e}thode propos{\'e}e corrige l{\textquoteright}effet de d{\'e}faut en utilisant les donn{\'e}es qui arrivent d{\textquoteright}un robot superviseur {\`a} distance. Ensuite, nous avons propos{\'e} une impl{\'e}mentation mat{\'e}rielle sur cible FPGA de l{\textquoteright}algorithme de supervision dont le but est de valider notre contribution et d{\textquoteright}assurer un traitement en temps r{\'e}el dans le cas o{\`u} il y a des robots r{\'e}els. Par ailleurs, une {\'e}tude comparative entre les performances des deux impl{\'e}mentations a {\'e}t{\'e} effectu{\'e}e

},
	url = {https://www.theses-algerie.com/2211862124311993/these-de-doctorat/universite-mustapha-ben-boulaid---batna-2/supervision-d-un-robot-manipulateur-virtuel-par-les-r\%C3\%A9seaux-de-neurones},
	author = {Ghrieb, Abdel-Ouahab}
}
@mastersthesis {7299,
	title = {Impl{\'e}mentation et d{\'e}ploiement d\&rsquo;une nouvelle approche {\`a} base de Lean Six Sigma pour le d{\'e}veloppement et l\&rsquo;am{\'e}lioration de la durabilit{\'e} de la production des petites et moyennes entreprises},
	year = {2021},
	type = {Doctorat LMD},
	abstract = {
	L{\textquoteright}objectif de ce travail de th{\`e}se et de d{\'e}velopper des nouvelles approches permettant aux petites et moyennes entreprises d{\textquoteright}am{\'e}liorer les performances de leur processus de fabrication. Nous avons d{\'e}velopp{\'e} trois approches aspir{\'e}es du Lean Six Sigma (LSS) pour l{\textquoteright}am{\'e}lioration de la production dans un contexte conventionnel et classique d{\textquoteright}une part et d{\textquoteright}autre part dans un contexte de production durable. Dans la premi{\`e}re approche nous avons propos{\'e} une approche Lean Six Sigma conventionnelle pour {\'e}valuer et suivre la comp{\'e}titivit{\'e} d{\textquoteright}une PME en fonction des r{\'e}sultats obtenus par la m{\'e}thode VSM. Dans la deuxi{\`e}me approche, nous avons propos{\'e} une nouvelle extension de l{\textquoteright}approche LSS vers le contexte de la production durable en incorporant des algorithmes multicrit{\`e}res quantitatives. Cette approche nous a permis de surmonter quelques barri{\`e}res au niveau du processus de l{\textquoteright}application du LSS. Dans La troisi{\`e}me approche nous avons pr{\'e}sent{\'e} une am{\'e}lioration de l{\textquoteright}approche LSS qui vise {\`a} montrer l{\textquoteright}effet positif des algorithmes multicrit{\`e}res qualitatives flous pour surmonter certaines barri{\`e}res du Lean Six Sigma li{\'e}es aux phases d{\textquoteright}analyse et d{\textquoteright}am{\'e}lioration de l{\textquoteright}{\'e}tat actuel des processus de fabrication. Les approches propos{\'e}es sont appliqu{\'e}es dans deux entreprise alg{\'e}riennes pour am{\'e}liorer et contr{\^o}ler la durabilit{\'e} de leurs processus de fabrication.

},
	url = {http://eprints.univ-batna2.dz/1941/},
	author = {Soltani, Mohyeddine}
}
@mastersthesis {7298,
	title = {Pronostic industriel distribu{\'e} des syst{\`e}mes complexes {\`a} base d\&$\#$39;agents},
	year = {2021},
	type = {Doctorat LMD},
	abstract = {
	Les syst{\`e}mes industriels deviennent plus complexes en raison, notamment, de leur taille croissante et de l{\textquoteright}int{\'e}gration des nouvelles technologies. En vieillissant, ces syst{\`e}mes deviennent plus vuln{\'e}rables aux d{\'e}faillances et leurs activit{\'e}s de maintenance sont difficiles et co{\^u}teuses. Cette situation, combin{\'e}e aux exigences de productivit{\'e}, de croissance des b{\'e}n{\'e}fices, de disponibilit{\'e} op{\'e}rationnelle et de s{\'e}curit{\'e}, pousse les praticiens et les chercheurs {\`a} d{\'e}velopper des outils et des m{\'e}thodes innovants. Les activit{\'e}s de maintenance constituent l{\textquoteright}un des leviers possibles. En entretenant le syst{\`e}me, nous pouvons r{\'e}duire les co{\^u}ts globaux de son cycle de vie, augmenter sa disponibilit{\'e}, am{\'e}liorer la s{\'e}curit{\'e} des op{\'e}rateurs et r{\'e}duire les incidents environnementaux. Les t{\^a}ches de maintenance peuvent {\^e}tre soit curatives, soit pr{\'e}ventives. Cependant, cela n{\textquoteright}est pas encore suffisant parce que les pi{\`e}ces de rechange ne sont pas disponibles ou pas suffisantes au moment de la panne ou simplement parce que les ressources n{\'e}cessaires (les responsables de la maintenance) sont occup{\'e}es. Une "meilleure" solution pourrait alors {\^e}tre une maintenance pr{\'e}dictive, qui peut {\^e}tre effectu{\'e}e dans le framework du pronostic. Dans ce cadre nous essayons de pr{\'e}voir l{\textquoteright}{\'e}tat de sant{\'e} du syst{\`e}me, puis on planifie les actions appropri{\'e}es en fonction des r{\'e}sultats des pr{\'e}visions. Ce travail s{\textquoteright}inscrit dans au domaine du pronostic de la PHM et de la gestion de la sant{\'e}. Les techniques de PHM visent {\`a} pr{\'e}dire la dur{\'e}e de vie restante de l{\textquoteright}{\'e}quipement. Cependant, elles ont eu tendance {\`a} {\^e}tre utilis{\'e}es dans un contexte local avec une int{\'e}gration limit{\'e}e des solutions distribu{\'e}es. Dans les syst{\`e}mes complexes, le comportement {\'e}mergent est plus compliqu{\'e} que la somme des comportements de leurs parties constitutives. Ce comportement implique la propagation de d{\'e}fauts entre les parties et n{\'e}cessite des informations sur la fa{\c c}on dont les parties sont li{\'e}es. Dans cette th{\`e}se, nous proposons une approche multi-agent pour la pr{\'e}diction de la RUL au niveau du syst{\`e}me. Ensuite, l{\textquoteright}approche propos{\'e}e est {\'e}tendue {\`a} la PHM m{\'e}dicale avec une {\'e}tude de cas

},
	url = {http://eprints.univ-batna2.dz/1964/},
	author = {Benaggoune Khaled}
}
@mastersthesis {7297,
	title = {Proposition d\&rsquo;un syst{\`e}me distribu{\'e} de diagnostic et pronostic bas{\'e} sur les services Web et Extr{\^e}me Learning Machine},
	year = {2021},
	type = {Doctorat LMD},
	abstract = {
	Cette th{\`e}se traite de l{\textquoteright}utilisation d{\textquoteright}un outil de Machine Learning appel{\'e} "Extreme Learning Machine" dans le domaine du pronostic et de l{\textquoteright}{\'e}valuation de la sant{\'e} (e.g. estimation de la dur{\'e}e de vie utile restante (RUL)). Cet algorithme implique des m{\'e}thodes de programmation lin{\'e}aires qui reposent principalement sur les moindres carr{\'e}s dans les paradigmes non lin{\'e}aires des r{\'e}seaux de neurones artificiels pour produire des estimateurs de sant{\'e} tr{\`e}s rapides et pr{\'e}cis. D{\textquoteright}autres parts, cette {\'e}tude vise {\`a} distribuer le syst{\`e}me de pr{\'e}diction sur le web {\`a} l{\textquoteright}aide de services Web pour r{\'e}soudre les probl{\`e}mes de r{\'e}partition g{\'e}ographique de surveillance d{\'e}centralis{\'e}e. Sur la base de ce nouvel outil, de nombreux algorithmes d{\textquoteright}apprentissage ont {\'e}t{\'e} d{\'e}velopp{\'e}s dans le cadre de ce travail et compar{\'e}s {\`a} d{\textquoteright}autres algorithmes pr{\'e}sents dans la litt{\'e}rature en termes de temps et de pr{\'e}cision. La plupart des algorithmes d{\'e}velopp{\'e}s sont inspir{\'e}s des th{\'e}ories r{\'e}centes de Deep Learning et ce en raison de leur bonne r{\'e}putation. Les donn{\'e}es {\'e}tudi{\'e}es dans ce travail de recherche sont tir{\'e}es du logiciel C-MAPSS simulateur de syst{\`e}me de propulsion a{\'e}rodynamique d{\'e}velopp{\'e} par la NASA. Les r{\'e}sultats obtenus ont prouv{\'e} l{\textquoteright}efficacit{\'e} des nouveaux algorithmes et les recommandent pour une utilisation future dans le domaine de l{\textquoteright}{\'e}valuation de la sant{\'e}.

},
	url = {http://eprints.univ-batna2.dz/1915/},
	author = {Berghout, Tarek}
}
@proceedings {7284,
	title = {Monitoring The Product Quality Using The Iiot Data},
	journal = {First International Conference On Energy, Thermofluids And Materials Engineering, ICETME 2021 Held Online From 18 To 20 December, 2021.},
	year = {2021},
	address = { Biskra Algerie},
	author = {Baguigui, S and Aksa,  Karima and Habchi, A-S}
}
@proceedings {7278,
	title = {knowledge sharing via the blockchain technology},
	journal = {EKNOW 2021,},
	year = {2021},
	address = { Nice, France},
	author = {Samia Aitouche}
}
@conference {7269,
	title = {Hybrid Heuristic Optimization of an Integrated Production Distribution System with Stock and Transportation Costs},
	booktitle = {International Conference on Computing Systems and Applications},
	year = {2021},
	publisher = { Lecture Notes in Networks and Systems book series },
	organization = { Lecture Notes in Networks and Systems book series },
	abstract = {
	In this paper we address the integration of two-level supply chain with multiple items, production facility and retailers{\textquoteright} demand over a considered discrete time horizon. This two-level production distribution system features capacitated production facility supplying several retailers located in the same region. If production does take place, this process incurs a fixed setup cost as well as unit production costs. In addition, deliveries are made from the plant to the retailers by a limited number of capacitated vehicles and routing costs are incurred. This work aims at implementing a solution to minimize the sum of the costs at the production facility and the retailers. The methodology adopted to tackle this issue is based on a hybrid heuristic, greedy and genetic algorithms that uses strong formulation to provide a good solution of a guaranteed quality that are as good or better than those provided by the MIP optimizer with a considerably larger run time. The results demonstrate that the proposed heuristics are effective and performs impressively in terms of computational efficiency and solution quality.

},
	url = {https://link.springer.com/chapter/10.1007/978-3-030-69418-0_11},
	author = {Bensakhria, Mohamed and Samir Abdelhamid}
}
@proceedings {7268,
	title = {Analysis and Design of Modified Incremental Conductance-Based MPPT Algorithm for Photovoltaic System},
	journal = {International Conference on Artificial Intelligence in Renewable Energetic Systems (IC-AIRES{\textquoteright}21) },
	year = {2021},
	address = {Adrar, Algeria},
	author = {Hadjidj, Nadjiha~ and Meriem Benbrahim and Ounnas, Djamel and Leila-Hayet Mouss}
}
@proceedings {7267,
	title = {Monitoring The Product Quality Using The Iiot Data First International Conference On Energy, Thermofluids And Materials Engineering},
	journal = {First International Conference On Energy, Thermofluids And Materials Engineering (ICETME 2021), Held Online From 18 To 20 December, },
	year = {2021},
	address = {Biskra, Algerie},
	author = {Baguigui, S and Aksa,  Karima and Habchi, A-S}
}
@conference {7253,
	title = {Towards Digital Twins Driven Breast Cancer Detection},
	year = {2021},
	publisher = {Lecture Notes in Networks and Systems },
	organization = {Lecture Notes in Networks and Systems },
	abstract = {
	Digital twins have transformed the industrial world by changing the development phase of a product or the use of equipment. With the digital twin, the object{\textquoteright}s evolution data allows us to anticipate and optimize its performance. Healthcare is in the midst of a digital transition towards personalized, predictive, preventive, and participatory medicine. The digital twin is one of the key tools of this change. In this work, DT is proposed for the diagnosis of breast cancer based on breast skin temperature. Research has focused on thermography as a non-invasive scanning solution for breast cancer diagnosis. However, body temperature is influenced by many factors, such as breast anatomy, physiological functions, blood pressure, etc. The proposed DT updates the bio-heat model{\textquoteright}s temperature using the data collected by temperature sensors and complementary data from smart devices. Consequently, the proposed DT is personalized using the collected data to reflect the person{\textquoteright}s behavior with whom it is connected.

},
	url = {https://link.springer.com/chapter/10.1007/978-3-030-80129-8_7},
	author = {Meraghni, Safa and Benaggoune, Khaled and Al Masry, Zeina and Terrissa, Sadek-Labib and Devalland, Christine and Zerhouni, Noureddine}
}
@article {7252,
	title = {Development of an Industrial Application with Neuro-Fuzzy Systems},
	journal = {INTERNATIONAL JOURNAL OF FUZZY SYSTEMS and ADVANCED APPLICATIONS },
	volume = {8},
	year = {2021},
	abstract = {
	In this paper, our objective is dedicated to the detection of a deterioration in the estimated operating time by giving preventive action before a failure, and the classification of breakdowns after failure by giving the action of the diagnosis and / or maintenance. For this reason, we propose a new Neuro-fuzzy assistance prognosis system based on pattern recognition called "NFPROG" (Neuro Fuzzy Prognosis). NFPROG is an interactive simulation software, developed within the Laboratory of Automation and Production (LAP) -University of Batna, Algeria. It is a four-layer fuzzy preceptor whose architecture is based on Elman neural networks. This system is applied to the cement manufacturing process (cooking process) to the cement manufacturing company of Ain-Touta-Batna, Algeria. And since this company has an installation and configuration S7-400 of Siemens PLC PCS7was chosen as a programming language platform for our system.

},
	url = {https://www.naun.org/main/NAUN/fuzzy/2021/a062017-003(2021).pdf},
	author = {Benaicha Sonia and Zermane, Hannane and Leila-Hayet Mouss and Bencherif, Fateh}
}
@proceedings {7251,
	title = {Automation and fuzzy control of a manufacturing system},
	journal = {INTERNATIONAL JOURNAL OF FUZZY SYSTEMS and ADVANCED APPLICATIONS},
	year = {2021},
	abstract = {
	The automation of manufacturing systems is a major obligation to the developments because of exponential industrial equipment, and programming tools, so that growth needs and customer requirements. This automation is achieved in our work through the application programming tools from Siemens, which are PCS 7 (Process Control System) for industrial process control and FuzzyControl++ for fuzzy control. An industrial application is designed, developed and implemented in the cement factory in Ain-Touta (S.CIM.AT) located in the province of Batna, East of Algeria. Especially in the cement mill which gives the final product that is the cement.

},
	url = {https://www.naun.org/main/NAUN/fuzzy/2021/a082017-004(2021).pdf},
	author = {Hanane Zermane and Leila-Hayet Mouss and Sonia Benaicha}
}
@proceedings {7250,
	title = {Sample Entropy with One-Stage Variational Mode Decomposition for Hourly Solar Irradiance Forecasting},
	journal = {The First International Conference on Renewable  Energy Advanced Technologies and Applications},
	year = {2021},
	address = {Adrar, Algeria},
	abstract = {
	Solar radiation forecasting is an important technology that is necessary to increase the performance, management, and control of modern electrical grids. It allows energy regulators to estimate the near-future output power of solar power plants, and can help to reduce the effects of power fluctuations on the electricity grid, thus increasing the overall efficiency and power quality of those plants [1]. However, the variable nature of solar irradiance poses a challenge in the exploitation of solar energy. In this context, forecasting techniques are now essential to ensure sustainable, reliable, and cost-effective solar energy production [2]. This paper proposes a hybrid machine learning model to forecast Global Horizontal Irradiance (GHI) in the short term (1-hour ahead). The experimental assessment of the model is done on the basis of an experimental dataset of 11 years of hourly GHI measurements from the BSRN Tamanrasset station in Algeria. The general framework of the proposed model is explained in Figure 1, and its main steps are summarized as follows:

},
	url = {https://www.researchgate.net/profile/Abderrezzaq-Ziane/publication/357687664_ICREATA{\textquoteright}21_Proceedings/links/61daf088b8305f7c4b3195cf/ICREATA21-Proceedings.pdf},
	author = {Zemouri, Nahed and Bouzgou, Hassen and Gueymard,Christian A}
}
@proceedings {7249,
	title = {Deep Long Short-Term Memory with Separation Models for Direct Normal Irradiance Forecasting: Application to Tamanrasset, Algeria},
	journal = {The First International Conference on Renewable  Energy Advanced Technologies and Applications},
	year = {2021},
	address = {Adrar, Algeria},
	abstract = {
	Solar energy is a vast and clean resource that can be harnessed with great benefit for humankind. It is still currently difficult, however, to convert it into electricity in an efficient and cost-effective way. One of the ways to produce energy is the use of various focusing technologies that concentrate the direct normal irradiance (DNI) to produce power through highly-efficient modules or conventional turbines. Concentrating technologies have great potential over arid areas, such as Northern Africa. A serious issue is that DNI can vary rapidly under broken-cloud conditions, which complicate its forecasts [1]. In comparison, the global horizontal irradiance (GHI) is much less sensitive to cloudiness. As an alternative to the direct DNI forecasting avenue, a possibility exists to derive the future DNI indirectly by forecasting GHI first, and then use a conventional separation model to derive DNI. In this context, the present study compares four of the most well-known separation models of the literature and evaluates their performance at Tamanrasset, Algeria, when used in combination with a new deep learning machine methodology introduced here to forecast GHI time series for short-term horizons (15-min). The proposed forecast system is composed of two separate blocs. The first bloc seeks to forecast the future value of GHI based on historical time series using the Long Short-Term Memory (LSTM) technique with two different search algorithms. In the second bloc, an appropriate separation (also referred to as {\textquotedblleft}diffuse fraction{\textquotedblright} or {\textquotedblleft}splitting{\textquotedblright}) model is implemented to extract the direct component of GHI. LSTMs constitute a category of recurrent neural network (RNN) structure that exhibits an excellent learning and predicting ability for data with time-series sequences [2]. The present study uses and evaluates the performance of two novel and competitive strategies, which both aim at providing accurate short-term GHI forecasts: Unidirectional LSTM (UniLSTM) and Bidirectional LSTM (BiLSTM). In the former case, the signal propagates backward or forward in time, whereas in the latter case the learning algorithm is fed with the GHI data once from beginning to the end and once from end to beginning. One goal of this study is to evaluate the overall advantages and performance of each strategy. Hence, this study aims to validate this new approach of obtaining 15- min DNI forecasts indirectly, using the most appropriate separation model. An important step here is to determine which model is suitable for the arid climate of Tamanrasset, a high-elevation site in southern Algeria where dust storms are frequent. Accordingly, four representative models have been selected here, based on their validation results [3] and popularity: 1) Erbs model [4]; 2) Maxwell{\textquoteright}s DISC model [5]; 3) Perez{\textquoteright}s DIRINT model [6]; and 4) Engerer2 model [7]. In this contribution, 1-min direct, diffuse and global solar irradiance measurements from the BSRN station of Tamanrasset are first quality-controlled with usual procedures [3, 8] and combined into 15-min sequences over the period 2013{\textendash}2017. The four separation models are operated with the 15-min GHI forecasts obtained with each LSTM model, then compared to the 15-min measured DNI sequences. Table 1 shows the results obtained by the two forecasting strategies, for the experimental dataset.

},
	url = {https://www.researchgate.net/profile/Abderrezzaq-Ziane/publication/357687664_ICREATA{\textquoteright}21_Proceedings/links/61daf088b8305f7c4b3195cf/ICREATA21-Proceedings.pdf},
	author = {Atmani, Hanane and Bouzgou, Hassen and Gueymard,Christian A}
}
@proceedings {7248,
	title = {Analysis and Design of Modified IncrementalConductance-BasedMPPT Algorithm for Photovoltaic System},
	journal = {The First International Conference on Renewable  Energy Advanced Technologies and Applications (ICREATA{\textquoteright}21 ), October 25-27},
	year = {2021},
	address = {October 25-27},
	abstract = {
	Nowadays, solar energy, which is the direct conversion of light into electricity, occupies a very important place among renewable energy resources due to its daily availability in most regions of the globe. Therefore, the wise exploitation of this clean energy will ultimately drive to cover all needed demands [1, 2]. This paper deals with the design of Maximum Power Point Tracking (MPPT) technique for photovoltaic (PV) system using a modified incremental conductance (IncCond) algorithm to extract maximum power from PV module. The considered PV system consists of a PV module, a DC-DC converter and a resistive load. In the literature, it is known that the conventional MPPT algorithms suffer from serious disadvantages such as fluctuations around the MPP and slow tracking during a rapid change in atmospheric conditions. Therefore, in this paper, and attempting to overcome the shortcomings of conventional approach. In this work, a new modified incremental conductance algorithm is proposed to find the Maximum Power Point Tracking (MPPT) of the Photovoltaic System. Simulation tests with different atmospheric conditions are provided to demonstrate the validity and the effectiveness of the proposed algorithm.

},
	url = {https://www.researchgate.net/profile/Abderrezzaq-Ziane/publication/357687664_ICREATA{\textquoteright}21_Proceedings/links/61daf088b8305f7c4b3195cf/ICREATA21-Proceedings.pdf},
	author = {Hadjidj, Nadjiha and Meriem Benbrahim and Ounnes, D and Leila-Hayet Mouss}
}
@proceedings {7247,
	title = {Techno-Economic Analysis of a Stand-Alone Hybrid Renewable Energy System for Residentiel Electrification in Tamanrasset, Algeria},
	journal = { International Conference on Renewable Energy Advanced Technologie and Applications (ICREATA{\textquoteright}21)},
	year = {2021},
	address = {Adrar, Algeria},
	author = {Zereg, Hadda and Bouzgou, Hassen}
}
@proceedings {7246,
	title = {Residual Networks with Long Short Term Memory for Hourly Solar Radiation Forecasting},
	journal = {International Conference on Artificial Intelligence in Renewable Energetic Systems (IC-AIRES{\textquoteright}21) },
	year = {2021},
	address = {Tipasa, Algeria},
	abstract = {
	This paper describes a new approach for hourly global solar radiation forecasting based on a hybrid artificial neural network technique combining a residual neural network (RESNET) for powerful feature extraction of the most relevant moments of the past, and a long short-term memory (LSTM) technique for efficient projection into the future. Based on 11 years of solar irradiance measurements at Tamanrasset, Algeria, four evaluation metrics are used to demonstrate the efficiency of the proposed method: coefficient of determination (R{\texttwosuperior}), root-mean-square error (RMSE), mean absolute error (MAE), and mean absolute percentage error (MAPE). These metrics are also used to evaluate the performance of the model in comparison with two existing forecasting models used as benchmark: a particular technique of convolutional neural network (CNN) called 1-dimensional convolutional neural network (1D-CNN) and a conventional LSTM. The present results indicate that the proposed RESNET-LSTM model outperforms the other models in terms of all statistical indicators.

},
	url = {https://www.researchgate.net/publication/355916572_Residual_Networks_with_Long_Short_Term_Memory_for_Hourly_Solar_Radiation_Forecasting},
	author = {Louchene, Houssem-Eddine and Bouzgou, Hassen and Gueymard, Chris}
}
@conference {7245,
	title = {Multi-Objective Optimization of Stand-Alone Hybrid Renewable Energy System for Rural Electrification in Algeria},
	booktitle = {International Conference on Artificial Intelligence in Renewable Energetic Systems(IC-AIRES{\textquoteright}21 )},
	volume = {361},
	year = {2021},
	pages = {21{\textendash}33},
	publisher = { Lecture Notes in Networks and Systems},
	organization = { Lecture Notes in Networks and Systems},
	address = {Tipasa, Algeria  },
	abstract = {
	This paper proposes an optimum design of a diesel/PV/wind/battery hybrid renewable energy system (HRES) for rural electrification in a remote district in Tamanrasset, Algeria. In this study, a particle swarm optimization algorithm (PSO) has been proposed to solve a multi-objective optimization problem, which was created by carrying out simultaneously, the cost of energy (COE) minimization while maximizing the reliability of power supply described as the loss of power supply probability (LPSP) and a renewable fraction (RF). The simulation results show that the PV/WT/DG/BT is the best economic configuration with a reasonable annual cost of the optimal system (ACS) which is about 7798.71\&nbsp;$ and the COE equal to 0.79\&nbsp;$/kWh for an LPSP\&nbsp;=\&nbsp;0.01\%, where the ten households are 0.99 \% satisfied by renewable energy sources.

},
	url = {https://link.springer.com/chapter/10.1007/978-3-030-92038-8_3},
	author = {Zereg, Hadda and Bouzgou, Hassen}
}
@proceedings {7244,
	title = {Cost Optimisation for Wheelchair Redesign},
	journal = {1st International Conference On Cyber Management And Engineering (CyMaEn), 26-28 May},
	year = {2021},
	address = {Hammamet, Tunisia},
	abstract = {
	Requirements of users in developing countries differ from those of developed countries. This difference can be seen through wheelchair displacement in infrastructures that don{\textquoteright}t meet international standards. However, developing countries are obliged to purchase products from developed countries that don{\textquoteright}t necessarily meet all user{\textquoteright}s requirements. The modification of these requirements will generate disruption on all the supply chain. This paper proposes a model for optimising the cost of requirement modification on the supply chain and seeks to evaluate the introduction of a new requirement on an existing product/process. This model is adapted to the redesign and development of products, such as wheelchairs, satisfying specific Algerian end-user requirements.

},
	url = {https://ieeexplore.ieee.org/document/9497281},
	author = {Bellal, Salah-Eddine and Leila-Hayet Mouss and Sahnoun, M{\textquoteright}hammed and Messaadia, Mourad}
}
@conference {7243,
	title = {A Comparative Study Between Data-Based Approaches Under Earlier Failure Detection},
	booktitle = {ICCIS2020 },
	volume = {204},
	year = {2021},
	pages = {235{\textendash}239},
	publisher = {Lecture Notes in Networks and Systems},
	organization = {Lecture Notes in Networks and Systems},
	address = {India},
	abstract = {
	A comparative study between a set of chosen machine learning tools for direct remaining useful life prediction is presented in this work. The main objective of this study is to select the appropriate prediction tool for health estimation of aircraft engines for future uses. The training algorithms are evaluated using {\textquotedblleft}time-varying{\textquotedblright} data retrieved from Commercial Modular Aero-Propulsion System Simulation (C-MAPSS) developed by NASA. The training and testing processes of each algorithm are carried out under the same circumstances using the similar initial condition and evaluation sets. The results prove that among the studied training tools, Support vector machine (SVM) achieved the best results.

},
	url = {https://link.springer.com/chapter/10.1007/978-981-16-1089-9_20},
	author = {Hadjidj, Nadjiha and Meriem Benbrahim and Berghout, Tarek and Leila-Hayet Mouss}
}
@proceedings {7242,
	title = {Machine Learning for Photovoltaic Systems Condition Monitoring: A Review},
	journal = {47th Annual Conference of the IEEE Industrial Electronics Society, IECON },
	year = {2021},
	address = {Toronto, Canada},
	abstract = {
	Condition Monitoring of photovoltaic systems plays an important role in maintenance interventions due to its ability to solve problems of loss of energy production revenue. Nowadays, machine learning-based failure diagnosis is becoming increasingly growing as an alternative to various difficult physical-based interpretations and the main pile foundation for condition monitoring. As a result, several methods with different learning paradigms (e.g. deep learning, transfer learning, reinforcement learning, ensemble learning, etc.) have been used to address different condition monitoring issues. Therefore, the aim of this paper is at least, to shed light on the most relevant work that has been done so far in the field of photovoltaic systems machine learning-based condition monitoring.

},
	url = {https://ieeexplore.ieee.org/document/9589423},
	author = {Berghout, Tarek and Mohamed Benbouzid and Ma, Xiandong and Djurovi{\'c}, Sini{\v s}a and Leila-Hayet Mouss}
}
@proceedings {7241,
	title = {Sequence-To-Sequence Health Index Estimation of Rolling Bearings with Long-Short Term Memory and Transfer Learning},
	journal = {47th Annual Conference of the IEEE Industrial Electronics Society, IECON 2021},
	year = {2021},
	address = {Toronto, Canada},
	abstract = {
	One of the main data-driven challenges when assessing bearing health is that training and test samples must be drawn from the same probability distribution. Indeed, it is difficult and almost rare to witness such a phenomenon in practical applications due to the constantly changing working conditions of rotating machines. In addition, collecting sufficient deterioration samples from the bearing life cycle is not possible due to the huge memory requirements and processing costs. As a result, accelerated life tests are believed to be the primary alternatives to such a situation. However, and unfortunately, the recorded samples always are subject to lack of real patterns. Therefore, in this paper, a transfer learning approach is performed to solve such kind of problem where PRONOSTICO dataset is used to assess the current procedures.

},
	url = {https://ieeexplore.ieee.org/document/9589114},
	author = {Berghout, Tarek and Mohamed Benbouzid and Le{\"\i}la-Hayet Mouss}
}
@article {7233,
	title = {Principles of Biology in Service of Technology: DNA Computing},
	journal = {Algerian Journal of Environmental Science and Technology (ALJEST)},
	volume = {7},
	number = {20},
	year = {2021},
	abstract = {
	\&nbsp;As commonly known that living beings cannot survive without natural sources available on earth, technology is no exception; it cannot develop without the inspiring help given by the same nature.



	The field of biology has extensively participated in the computing field through the "code of life" DNA (Deoxyribo Nucleic Acid) since it was discovered by Adelman in the past century. This combination gave birth to DNA Computing, which is a very interesting new aspect of biochemistry. It works massively parallel with high energy efficiency, and requiring almost no space.



	The field of molecular computing is still new and as the field progresses from concepts to engineering, researchers will address these important issues.



	\&nbsp;By the use of encoding data into DNA strands, many NP-complete problems have been solved and many new efficient techniques have been proposed in cryptography field.



	The aim of this paper is to give an overview of bio-inspired system and to summarize the great role of DNA molecule in servicing of the technology field.

},
	url = {https://www.aljest.net/index.php/aljest/article/view/292},
	author = {Aksa,  Karima}
}
@article {7229,
	title = {A Hybrid Methodology based on heuristic algorithms for a production distribution system with routing decisions},
	journal = {. BizInfo (Blace) Journal of Economics, Management and Informatics},
	volume = {12},
	number = {2},
	year = {2021},
	pages = {1-22},
	abstract = {
	In this paper, we address the integration of a two-level supply chain with multiple items. This two-level production-distribution system features a capacitated production facility supplying several retailers located in the same region. If production does occur, this process incurs a fixed setup cost and unit production costs. Besides, deliveries are made from the plant to the retailers by a limited number of capacitated vehicles, routing costs incurred. This work aims to implement a minimization solution that reduces the total costs in both the production facility and retailers. The methodology adopted based on a hybrid heuristic, greedy and genetic algorithm uses strong formulation to provide a suitable solution of a guaranteed quality that is as good or better than those provided by the MIP optimizer. The results demonstrate that the proposed heuristics are effective and performs impressively in terms of computational efficiency and solution quality.

},
	url = {https://scindeks-clanci.ceon.rs/data/pdf/2217-2769/2021/2217-27692102001B.pdf},
	author = {Bensakhria, Mohamed and Samir Abdelhamid}
}
@article {7228,
	title = {Dynamic planning design of three level distribution network with horizontal and vertical exchange},
	journal = { Inventory management in distribution networks remains a challenging task due to the demand nature and the limited storage capacity. In this work, we study a three-level, a multi-product and a multi-period distribution network consisting of a central ware},
	year = {2021},
	abstract = {
	\&nbsp;Inventory management in distribution networks remains a challenging task due to the demand nature and the limited storage capacity. In this work, we study a three-level, a multi-product and a multi-period distribution network consisting of a central warehouse, three distribution centres and six wholesalers. Each of them faces a random demand. In order to optimise the inventory management in the distribution network, we first propose to make a horizontal cooperation between actors of the same level in the form of product exchange; then we propose a second approach based on vertical-horizontal cooperation. Both approaches are modelled as a MIP model and solved using the CPLEX solver. The objective of this study is to analyse the performance in terms of costs, quantities in stock and customer satisfaction.

},
	author = {Benfriha, Abdennour -Ilyas and Triqui-Sari, Lamia and Bougloula, Aimade-Eddine and BENNEKROUF, Mohammed}
}
@article {7216,
	title = {Vers une Nouvelle R{\'e}volution Industrielle : Industrie 4.0},
	journal = {Revue M{\'e}diterran{\'e}enne des T{\'e}l{\'e}communications},
	volume = {11},
	number = {1},
	year = {2021},
	abstract = {
	La quatri{\`e}me r{\'e}volution industrielle (nomm{\'e}e aussi l{\textquoteright}Internet Industriel des Objets) d{\'e}pend totalement sur la num{\'e}risation {\`a} travers l{\textquoteright}Internet des objets et les r{\'e}seaux virtuels. Cette r{\'e}volution qui {\'e}volue {\`a} un rythme exponentiel, et non plus lin{\'e}aire, va permettre la cr{\'e}ation d{\textquoteright}usines, d{\textquoteright}industries et de processus plus intelligents qui vont ensuite se traduire par une am{\'e}lioration de la flexibilit{\'e}, de la productivit{\'e} et une meilleure utilisation des ressources mat{\'e}rielles et humaines.



	Cet article est consacr{\'e} {\`a} introduire cette nouvelle r{\'e}volution industrielle (industrie4.0), les technologies majeurs participant {\`a} son apparition, leur b{\'e}n{\'e}fices attendus ainsi que leurs enjeux {\`a} prendre en consid{\'e}ration.

},
	url = {https://revues.imist.ma/index.php/RMT/article/view/24027},
	author = {Aksa,  Karima and BOUHAFNA, Khayreddine and BELAYATI, Souleymen and DJEGHAR, Dina}
}
@article {7215,
	title = {Developing a Web Platform for the Management of the Predictive Maintenance in Smart Factories},
	journal = {Wireless Personal Communications},
	volume = {119},
	year = {2021},
	pages = {pages1469{\textendash}1497},
	abstract = {
	Industry 4.0 is a tsunami that will invade the whole world. The real challenge of the future factories requires a high degree of reliability both in machinery and equipment. Thereupon, shifting the rudder towards new trends is an inevitable obligation in this fourth industrial revolution where the maintenance system has radically changed to a new one called predictive maintenance 4.0 (PdM 4.0). This latter is used to avoid predicted problems of machines and increase their lifespan taking into account that if machines have not any predicted problem, they will never be checked. However, in order to get successful prediction of any kind of problems, minimizing energy and resources consumption along with saving costs, this PdM 4.0 needs many new emerging technologies such as the internet of things infrastructure, collection and distribution of data from different smart sensors, analyzing/interpreting a huge amount of data using machine/deep learning{\textellipsis}etc. This paper is devoted to present the industry 4.0 and its specific technologies used to ameliorate the existing predictive maintenance strategy. An example is given via a web platform to get a clear idea of how PdM 4.0 is applied in smart factories.

},
	url = {https://link.springer.com/article/10.1007/s11277-021-08290-w},
	author = {Aksa,  Karima and Samia Aitouche and Bentoumi, Hamza and Sersa,  Ibrahim}
}
@article {7214,
	title = {Intelligent Condition Monitoring of Wind Power Systems: State of the Art Review},
	journal = {Energies},
	volume = {14},
	number = {18},
	year = {2021},
	abstract = {
	Modern wind turbines operate in continuously transient conditions, with varying speed, torque, and power based on the stochastic nature of the wind resource. This variability affects not only the operational performance of the wind power system, but can also affect its integrity under service conditions. Condition monitoring continues to play an important role in achieving reliable and economic operation of wind turbines. This paper reviews the current advances in wind turbine condition monitoring, ranging from conventional condition monitoring and signal processing tools to machine-learning-based condition monitoring and usage of big data mining for predictive maintenance. A systematic review is presented of signal-based and data-driven modeling methodologies using intelligent and machine learning approaches, with the view to providing a critical evaluation of the recent developments in this area, and their applications in diagnosis, prognosis, health assessment, and predictive maintenance of wind turbines and farms.

},
	author = {Mohamed Benbouzid and Berghout, Tarek and Sarma, Nur and Djurovi{\'c}, Sini{\v s}a and Wu, Yueqi and Ma, Xiandong}
}
@article {7197,
	title = {A Semi-Supervised Deep Transfer Learning Approach for Rolling-Element Bearing Remaining Useful Life Prediction},
	journal = {IEEE Transactions on Instrumentation and Measurement (2022)},
	volume = {37},
	number = {2},
	year = {2021},
	abstract = {
	Deep learning techniques have recently brought many improvements in the field of neural network training, especially for prognosis and health management. The success of such an intelligent health assessment model depends not only on the availability of labeled historical data but also on the careful samples selection. However, in real operating systems such as induction machines, which generally have a long reliable life, storing the entire operation history, including deterioration (i.e., bearings), will be very expensive and difficult to feed accurately into the training model. Other alternatives sequentially store samples that hold degradation patterns similar to real ones in damage behavior by imposing an accelerated deterioration. Labels lack and differences in distributions caused by the imposed deterioration will ultimately discriminate the training model and limit its knowledge capacity. In an attempt to overcome these drawbacks, a novel sequence-by-sequence deep learning algorithm able to expand the generalization capacity by transferring obtained knowledge from life cycles of similar systems is proposed. The new algorithm aims to determine health status by involving long short-term memory neural network as a primary component of adaptive learning to extract both health stage and health index inferences. Experimental validation performed using the PRONOSTIA induction machine bearing degradation datasets clearly proves the capacity and higher performance of the proposed deep learning knowledge transfer-based prognosis approach.

},
	url = {https://ieeexplore.ieee.org/document/9552475},
	author = {Berghout, Tarek and Le{\"\i}la-Hayet Mouss and Toufik Bentrcia and Mohamed Benbouzid}
}
@article {7188,
	title = {Towards Digital Twins Driven Breast Cancer Detection},
	journal = { Lecture Notes in Networks and Systems },
	volume = {285},
	year = {2021},
	pages = {87{\textendash}99},
	abstract = {
	Digital twins have transformed the industrial world by changing the development phase of a product or the use of equipment. With the digital twin, the object{\textquoteright}s evolution data allows us to anticipate and optimize its performance. Healthcare is in the midst of a digital transition towards personalized, predictive, preventive, and participatory medicine. The digital twin is one of the key tools of this change. In this work, DT is proposed for the diagnosis of breast cancer based on breast skin temperature. Research has focused on thermography as a non-invasive scanning solution for breast cancer diagnosis. However, body temperature is influenced by many factors, such as breast anatomy, physiological functions, blood pressure, etc. The proposed DT updates the bio-heat model{\textquoteright}s temperature using the data collected by temperature sensors and complementary data from smart devices. Consequently, the proposed DT is personalized using the collected data to reflect the person{\textquoteright}s behavior with whom it is connected.

},
	url = {https://link.springer.com/chapter/10.1007/978-3-030-80129-8_7},
	author = {Meraghni, Safa and Benaggoune, Khaled and Al-Masry, Zeina and Terrissa, Labib and Devalland, Christine and Zerhouni, Noureddine}
}
@article {7187,
	title = {Leveraging Label Information in a Knowledge-Driven Approach for Rolling-Element Bearings Remaining Useful Life Prediction},
	journal = {Energies},
	volume = {14},
	number = {8},
	year = {2021},
	abstract = {Since bearing deterioration patterns are difficult to collect from real, long lifetime scenarios, data-driven research has been directed towards recovering them by imposing accelerated life tests. Consequently, insufficiently recovered features due to rapid damage propagation seem more likely to lead to poorly generalized learning machines. Knowledge-driven learning comes as a solution by providing prior assumptions from transfer learning. Likewise, the absence of true labels was able to create inconsistency related problems between samples, and teacher-given label behaviors led to more ill-posed predictors. Therefore, in an attempt to overcome the incomplete, unlabeled data drawbacks, a new autoencoder has been designed as an additional source that could correlate inputs and labels by exploiting label information in a completely unsupervised learning scheme. Additionally, its stacked denoising version seems to more robustly be able to recover them for new unseen data. Due to the non-stationary and sequentially driven nature of samples, recovered representations have been fed into a transfer learning, convolutional, long{\textendash}short-term memory neural network for further meaningful learning representations. The assessment procedures were benchmarked against recent methods under different training datasets. The obtained results led to more efficiency confirming the strength of the new learning path.},
	url = {https://www.mdpi.com/1996-1073/14/8/2163},
	author = {Berghout, Tarek and Mohamed Benbouzid and Le{\"\i}la-Hayet Mouss}
}
@article {7186,
	title = {Detection of Flooding Attack on OBS Network Using Ant Colony Optimization and Machine Learning},
	journal = {Computaci{\'o}n y Sistemas},
	volume = {25},
	number = {2},
	year = {2021},
	abstract = {
	Optical burst switching (OBS) has become one of the best and widely used optical networking techniques. It offers more efficient bandwidth usage than optical packet switching (OPS) and optical circuit switching (OCS).However, it undergoes more attacks than other techniques and the Classical security approach cannot solve its security problem. Therefore, a new security approach based on machine learning and cloud computing is proposed in this article. We used the Google Colab platform to apply Support Vector Machine (SVM) and Extreme Learning Machine (ELM)to Burst Header Packet (BHP) flooding attack on Optical Burst Switching (OBS) Network Data Set.

},
	url = {https://www.scielo.org.mx/scielo.php?script=sci_arttext\&pid=S1405-55462021000200423},
	author = {Seddik, Mohamed-Takieddine and Ouahab Kadri and Bouarouguene, Chakir and Brahimi, Houssem}
}
@article {7185,
	title = {Auto-NAHL: A Neural Network Approach for Condition-Based Maintenance of Complex Industrial Systems},
	journal = {IEEE Access},
	volume = {9},
	year = {2021},
	abstract = {
	Nowadays, machine learning has emerged as a promising alternative for condition monitoring of industrial processes, making it indispensable for maintenance planning. Such a learning model is able to assess health states in real time provided that both training and testing samples are complete and have the same probability distribution. However, it is rare and difficult in practical applications to meet these requirements due to the continuous change in working conditions. Besides, conventional hyperparameters tuning via grid search or manual tuning requires a lot of human intervention and becomes inflexible for users. Two objectives are targeted in this work. In an attempt to remedy the data distribution mismatch issue, we firstly introduce a feature extraction and selection approach built upon correlation analysis and dimensionality reduction. Secondly, to diminish human intervention burdens, we propose an Automatic artificial Neural network with an Augmented Hidden Layer (Auto-NAHL) for the classification of health states. Within the designed network, it is worthy to mention that the novelty of the implemented neural architecture is attributed to the new multiple feature mappings of the inputs, where such configuration allows the hidden layer to learn multiple representations from several random linear mappings and produce a single final efficient representation. Hyperparameters tuning including the network architecture, is fully automated by incorporating Particle Swarm Optimization (PSO) technique. The designed learning process is evaluated on a complex industrial plant as well as various classification problems. Based on the obtained results, it can be claimed that our proposal yields better response to new hidden representations by obtaining a higher approximation compared to some previous works.

},
	url = {https://ieeexplore.ieee.org/document/9610082},
	author = {Berghout, Tarek and Mohamed Benbouzid and Muyeen, S-M and Toufik Bentrcia and Le{\"\i}la-Hayet Mouss}
}
@article {7184,
	title = {A CNN-based methodology for breast cancer diagnosis using thermal images},
	journal = {Computer Methods in Biomechanics and Biomedical Engineering: Imaging \& Visualization},
	volume = {9},
	number = {2},
	year = {2021},
	pages = {131-145},
	abstract = {
	A recent study from GLOBOCAN disclosed that during 2018 two million women worldwide had been diagnosed with breast cancer. Currently, mammography, magnetic resonance imaging, ultrasound, and biopsies are the main screening techniques, which require either, expensive devices or personal qualified; but some countries still lack access due to economic, social, or cultural issues. As an alternative diagnosis methodology for breast cancer, this study presents a computer-aided diagnosis system based on convolutional neural networks (CNN) using thermal images. We demonstrate that CNNs are faster, reliable and robust when compared with different techniques. We study the influence of data pre-processing, data augmentation and database size on several CAD models. Among the 57 patients database, our CNN models obtained a higher accuracy (92\%) and F1-score (92\%) that outperforms several state-of-the-art architectures such as ResNet50, SeResNet50, and Inception. This study exhibits that a CAD system that implements data-augmentation techniques reach identical performance metrics in comparison with a system that uses a bigger database (up to 33\%) but without data-augmentation. Finally, this study proposes a computer-aided system for breast cancer diagnosis but also, it stands as baseline research on the influence of data-augmentation and database size for breast cancer diagnosis from thermal images with CNNs

},
	url = {https://www.tandfonline.com/doi/abs/10.1080/21681163.2020.1824685},
	author = {Zuluaga-Gomez, J and Al Masry, Z and Benaggoune, Khaled and Meraghni, Safa and Zerhouni, Noureddine}
}
@article {7183,
	title = {Fault prognostics of rolling element bearing based on feature extraction and supervised machine learning: Application to shaft wind turbine gearbox using vibration signal},
	journal = {Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science},
	volume = {235},
	number = {20},
	year = {2021},
	abstract = {
	Renewable energies offer new solutions to an ever-increasing energy demand. Wind energy is one of the main sources of electricity production, which uses winds to be converted to electrical energy with lower cost and environment saving. The major failures of a wind turbine occur in the bearings of high-speed shafts. This paper proposes the use of optimized machine learning to predict the Remaining Useful Life (RUL) of bearing based on vibration data and features extraction. Significant features are extracted from filtered band-pass of the squared raw signal where the health indicators are automatically selected using relief technique. Optimized Adaptive Neuro Fuzzy Inference System (ANFIS) by Partical Swarm Optimization (PSO) is used to model the non linear degradation of the extracted indicators. The proposed approach is applied on experimental setup of wind turbine where the results show its effectiveness for RUL estimation.

},
	url = {https://journals.sagepub.com/doi/abs/10.1177/0954406220976154},
	author = {Gougam, Fawzi and Chemseddine, Rahmoune and Benazzouz, Djamel and Zerhouni, Noureddine and Benaggoune, Khaled}
}
@article {7182,
	title = {Multiple Features Extraction and Classifiers Combination Based Handwriting Digit Recognition},
	journal = { International Journal on Electrical Engineering and Informatics},
	volume = {13},
	number = {1},
	year = {2021},
	abstract = {
	In this paper, we present a system for handwriting digit recognition using different invariant features extraction and multiple classifiers. In the feature extraction we use four types: cavities, Zernike moments, Hu moments, Histogram of Gradient (HOG). Firstly, the features are used independently by five classifiers: K-nearest neighbor (KNN), Support Vector Machines (SVM) one versus one, SVM one versus all, Decision Tree, MLP. Then to achieve the best possible classification performance in terms of recognition rate, three methods of classifiers Combination rule employed: majority vote, Borda count and maximum rule. Experiments are performed on the well-known MNIST database of handwritten digits. The results demonstrated that the combination of KNN using HOG features with SVMOVA using Zernike moments by Borda count rule have considered to be good based on a geometric transformation invariance.

},
	url = {https://www.proquest.com/openview/72acbcf9bceca23bc38c7d1df8734acb/1?pq-origsite=gscholar\&cbl=316223},
	author = {Derdour, Khedidja and Leila-Hayet Mouss and Rafik Bensaadi}
}
@article {7181,
	title = {Intelligent Condition Monitoring of Wind Power Systems: State of the Art Review},
	journal = {Energies},
	volume = {14},
	number = {18},
	year = {2021},
	abstract = {
	Modern wind turbines operate in continuously transient conditions, with varying speed, torque, and power based on the stochastic nature of the wind resource. This variability affects not only the operational performance of the wind power system, but can also affect its integrity under service conditions. Condition monitoring continues to play an important role in achieving reliable and economic operation of wind turbines. This paper reviews the current advances in wind turbine condition monitoring, ranging from conventional condition monitoring and signal processing tools to machine-learning-based condition monitoring and usage of big data mining for predictive maintenance. A systematic review is presented of signal-based and data-driven modeling methodologies using intelligent and machine learning approaches, with the view to providing a critical evaluation of the recent developments in this area, and their applications in diagnosis, prognosis, health assessment, and predictive maintenance of wind turbines and farms.

},
	url = {https://ideas.repec.org/a/gam/jeners/v14y2021i18p5967-d639498.html},
	author = {Mohamed Benbouzid and Berghout, Tarek and Sarma, Nur and Djurovi{\'c}, Sini{\v s}a and Wu, Yueqi and Ma, Xiandong}
}
@article {7180,
	title = {Machine Learning-Based Condition Monitoring for PV Systems: State of the Art and Future Prospects},
	journal = {Energies},
	volume = {14},
	number = {19},
	year = {2021},
	abstract = {
	To ensure the continuity of electric power generation for photovoltaic systems, condition monitoring frameworks are subject to major enhancements. The continuous uniform delivery of electric power depends entirely on a well-designed condition maintenance program. A just-in-time task to deal with several naturally occurring faults can be correctly undertaken via the cooperation of effective detection, diagnosis, and prognostic analyses. Therefore, the present review first outlines different failure modes to which all photovoltaic systems are subjected, in addition to the essential integrated detection methods and technologies. Then, data-driven paradigms, and their contribution to solving this prediction problem, are also explored. Accordingly, this review primarily investigates the different learning architectures used (i.e., ordinary, hybrid, and ensemble) in relation to their learning frameworks (i.e., traditional and deep learning). It also discusses the extension of machine learning to knowledge-driven approaches, including generative models such as adversarial networks and transfer learning. Finally, this review provides insights into different works to highlight various operating conditions and different numbers and types of failures, and provides links to some publicly available datasets in the field. The clear organization of the abundant information on this subject may result in rigorous guidelines for the trends adopted in the future.

},
	url = {https://www.mdpi.com/1996-1073/14/19/6316},
	author = {Berghout, Tarek and Mohamed Benbouzid and Toufik Bentrcia and Ma, Xiandong and Djurovi{\'c}, Sini{\v s}a and Leila-Hayet Mouss}
}
@article {7178,
	title = {Industrial IoT middleware using a multi-agent system for consistency-based diagnostic in cement factory},
	journal = {International Journal of Autonomous and Adaptive Communications Systems},
	volume = {14},
	number = {3},
	year = {2021},
	abstract = {
	With the evolution of the internet of things (IoT), and due to its significant need in the industry, Industrial IoT (IIoT) becomes the suitable naming for this accompaniment. IIoT changed the view of the industry intelligently and over the internet. This overlapping of IoT and industry requires special treatment when systems deal with heterogeneous devices in a distributed environment and complex tasks. In this paper, we propose a middleware solution based on multi-agents system (MAS) to handle the distributed control of complex systems autonomously in an industrial environment. The proposed middleware enables machine-to-machine (M2M) communications among the system{\textquoteright}s components. In this work, we also addressed the distributed diagnostic for real industrial system using MAS with a new suitable communication strategy to support the heterogeneity and interoperability issued in IIoT and assure real-time monitoring and control. Finally, we present a qualitative evaluation of our solution on real case study (cement factory).

},
	url = {https://www.inderscienceonline.com/doi/abs/10.1504/IJAACS.2021.117805},
	author = {Ayoub Benayache and Azeddine Bilami and Benaggoune, Khaled and Leila-Hayet Mouss}
}
@article {7177,
	title = {A deep supervised learning approach for condition-based maintenance of naval propulsion systems},
	journal = {Ocean Engineering},
	volume = {221},
	number = {1},
	year = {2021},
	abstract = {
	In the last years,\&nbsp;predictive maintenance\&nbsp;has gained a central position in condition-based maintenance tasks planning. Machine learning approaches have been very successful in simplifying the construction of prognostic models for health assessment based on available historical labeled data issued from similar systems or specific physical models. However, if the collected samples suffer from lack of labels (small labeled dataset or not enough samples), the process of generalization of the learning model on the dataset as well as on the newly arrived samples (application) can be very difficult. In an attempt to overcome such drawbacks, a new deep supervised learning approach is introduced in this paper. The proposed approach aims at extracting and learning important patterns even from a small amount of data in order to produce more general health estimator. The algorithm is trained online based on local receptive field theories of\&nbsp;extreme learning machines\&nbsp;using data issued from a\&nbsp;propulsion system\&nbsp;simulator. Compared to extreme learning machine variants, the new algorithm shows a higher level of accuracy in terms of approximation and generalization under several training paradigms.




},
	url = {https://www.sciencedirect.com/science/article/abs/pii/S0029801820314323},
	author = {Berghout, Tarek and Leila-Hayet Mouss and Toufik Bentrcia and Elbouchikhi, Elhoussin and Mohamed Benbouzid}
}
@article {7163,
	title = {SOA-based distributed fault prognostic and diagnosis framework: an application for preheater cement cyclones},
	journal = {International Journal of Internet Manufacturing and Services},
	volume = {8},
	number = {1},
	year = {2021},
	abstract = {
	Complex engineering manufacturing systems require efficient online fault diagnosis methodologies to improve safety and reduce maintenance costs. Traditionally, diagnosis and prognosis approaches are centralised, but these solutions are difficult to implement on distributed systems; whereas a distributed approach of multiple diagnosis and prognosis agents can offer a solution. Also, controlling process plant from a remote location has several benefits including the ability to track and to assist in solving a problem that might arise. This paper presents a distributed and over prognosis and diagnosis approach for physical systems basing on multi agent system and service-oriented architecture. Specifics prognostic and diagnostic procedures and key modules of the architecture for web service-based distributed fault prognostic and diagnosis framework are detailed and developed for the preheater cement cyclones in the workshop of SCIMAT clinker. The experimental case study, reported in the present paper, shows encouraging results and fosters industrial technology transfer.

},
	url = {https://www.inderscienceonline.com/doi/abs/10.1504/IJIMS.2021.114539},
	author = {Ouahiba Chouhal and Rafik Mahdaoui and Leila-Hayet Mouss}
}
@book {7144,
	title = {Proposition d\&rsquo;un tutoriel pour une usine apprenante (Textile de Batna)},
	year = {2021},
	edition = {universitaires europeennes},
	abstract = {
	Le contexte actuel de globalisation et de concurrence accrue a entrain{\'e} les firmes {\`a} reconsid{\'e}rer leurs strat{\'e}gies d{\textquoteright}internationalisation et {\`a} r{\'e}examiner les opportunit{\'e}s offertes et les risques associ{\'e}s. Les alliances strat{\'e}giques apparaissent ainsi comme des vecteurs privil{\'e}gi{\'e}s notamment par les firmes multinationales pour leurs nouvelles implantations.La communication et le travail d{\textquoteright}{\'e}quipe sont parmi les comp{\'e}tences les plus r{\'e}currents associ{\'e}s {\`a} une connaissance des sciences de l{\textquoteright}ing{\'e}nieur. Cependant, leur application n{\textquoteright}est pas simple, en raison de l{\textquoteright}absence d{\textquoteright}approche p{\'e}dagogique contribuant {\`a} d{\'e}velopper des connaissances fond{\'e}es sur l{\textquoteright}exp{\'e}rience.Dans ce travail nous avons d{\'e}fini qu{\textquoteright}est-ce qu{\textquoteright}une organisation apprenante, qu{\textquoteright}est-ce qu{\textquoteright}un tutoriel et pourquoi un tutoriel personnalis{\'e} dans un m{\'e}tier, ses diff{\'e}rentes formes et les d{\'e}marches pour l{\textquoteright}{\'e}laboration d{\textquoteright}un tutoriel.Apr{\`e}s nous avons donn{\'e} une pr{\'e}sentation de l{\textquoteright}entreprise qu{\textquoteright}est Textile Batna. Nous avons con{\c c}u un tutoriel pour l{\textquoteright}entreprise sous forme d{\textquoteright}un site Web. Pour cela, le langage UML a {\'e}t{\'e} utilis{\'e}. Les fonctionnalit{\'e}s du tutoriel ont {\'e}t{\'e} pr{\'e}sent{\'e}es.

},
	author = {Ag Hameyni, Abdoulmadjid and Samia Aitouche and Aksa,  Karima}
}
@article {7143,
	title = {Recherche Documentaire et Conception du M{\'e}moire},
	year = {2021},
	abstract = {
	Le 4{\`e}me semestre d{\textquoteright}un mast{\`e}re de recherche est consacr{\'e} {\`a} la r{\'e}alisation d{\textquoteright}un travail de recherche qui sera traduit par une conception et une r{\'e}daction d{\textquoteright}un m{\'e}moire de fin d{\textquoteright}{\'e}tudes et finalement la pr{\'e}paration d{\textquoteright}un expos{\'e} oral puis une soutenance.Le m{\'e}moire de fin d{\textquoteright}{\'e}tudes est une {\'e}tape tr{\`e}s importante dans la voie des {\'e}tudes universitaires, car sans elle, l{\textquoteright}{\'e}tudiant ne peut pas acqu{\'e}rir la qualit{\'e} de dipl{\^o}m{\'e}.Alors, dans ce petit livre vous pouvez trouver un petit guide sur: - La fa{\c c}on d{\textquoteright}organisation de votre m{\'e}moire. - La pr{\'e}sentation de votre soutenance. - La r{\'e}daction d{\textquoteright}un travail de recherche. - La pr{\'e}paration d{\textquoteright}un poster.Le 4{\`e}me semestre d{\textquoteright}un mast{\`e}re de recherche est consacr{\'e} {\`a} la r{\'e}alisation d{\textquoteright}un travail de recherche qui sera traduit par une conception et une r{\'e}daction d{\textquoteright}un m{\'e}moire de fin d{\textquoteright}{\'e}tudes et finalement la pr{\'e}paration d{\textquoteright}un expos{\'e} oral puis une soutenance.Le m{\'e}moire de fin d{\textquoteright}{\'e}tudes est une {\'e}tape tr{\`e}s importante dans la voie des {\'e}tudes universitaires, car sans elle, l{\textquoteright}{\'e}tudiant ne peut pas acqu{\'e}rir la qualit{\'e} de dipl{\^o}m{\'e}.Alors, dans ce petit livre vous pouvez trouver un petit guide sur:



	
		La fa{\c c}on d{\textquoteright}organisation de votre m{\'e}moire.
	
	
		La pr{\'e}sentation de votre soutenance.
	
	
		La r{\'e}daction d{\textquoteright}un travail de recherche.
	
	
		La pr{\'e}paration d{\textquoteright}un poster.
	

},
	author = {Aksa,  Karima}
}
@book {7142,
	title = {CAPTEURS INTELLIGENTS},
	year = {2021},
	edition = {Bookelis },
	abstract = {
	L{\textquoteright}{\'e}volution r{\'e}cente des moyens de la communication sans fil a permet la manipulation de l{\textquoteright}information {\`a} travers des unit{\'e}s de calculs portables, appel{\'e}s capteurs. Ces derniers, qui ont des caract{\'e}ristiques particuli{\`e}res, sont capables de r{\'e}colter, de traiter et de transmettre des donn{\'e}es environnementales d{\textquoteright}une mani{\`e}re autonome.Dans ce livre sont introduites les connaissances de base n{\'e}cessaires {\`a} la bonne compr{\'e}hension des capteurs intelligents, des r{\'e}seaux de capteurs et les diff{\'e}rents types protocoles de routage sp{\'e}cifiques aux r{\'e}seaux de capteurs. Nous fournirons ainsi les d{\'e}finitions g{\'e}n{\'e}ralement accept{\'e}es par ce type de r{\'e}seau. Nous aborderons {\'e}galement par une description succincte les principales caract{\'e}ristiques, contraintes et facteurs conceptuels qui surviennent dans ces r{\'e}seaux. Nous pr{\'e}senterons ensuite les diff{\'e}rentes orientations prises aux applications des r{\'e}seaux de capteurs.

},
	author = {Aksa,  Karima}
}
@article {5154,
	title = {Capacity Planning With Outsourcing Opportunities Under Reliability And Maintenance Constraints. Status},
	journal = {International Journal of Industrial and Systems Engineering},
	volume = {37},
	number = {3},
	year = {2021},
	pages = {382-409},
	abstract = {
	This paper investigates capacity planning with outsourcing under reliability-maintenance constraints. The considered supply-chain consists of a single-manufacturer and multiple-subcontractors. The manufacturer{\textquoteright}s company is composed of a single unit subject to random failures. Corrective maintenance is endorsed when failures occur, and preventive maintenance can be carried out to reduce the degradation. The high in-house costs and the incapacity motivate the manufacturer outsourcing to independent subcontractors. In addition, based on the principle of comparative advantage, the manufacturer balances between in-house capacities and outsourcing services, which minimises the total cost. The aim is to propose a new policy based on the combination between integrated-maintenance and outsourcing policies. A mathematical model and an optimisation procedure have been developed in order to determine the best in-house production-maintenance and outsourcing plans for the manufacturer while minimising the total cost. In order to show the applicability of our approach, we conduct experimentations to study the management insights.

},
	url = {https://ideas.repec.org/a/ids/ijisen/v37y2021i3p382-409.html},
	author = {Haoues, Mohamed and Dahane, Mohammed and Mouss, Nadia-Kenza}
}
@mastersthesis {7312,
	title = {Contribution {\`a} la surveillance des syst{\`e}mes de production par les Syst{\`e}mes Multi-Agents Collectifs},
	year = {2020},
	author = {Ouahiba Chouhal}
}
@proceedings {7283,
	title = {Reverse Logistics with Disassembly, Assembly, Repair and Substitution},
	journal = {IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)},
	year = {2020},
	address = {Singapore, Singapore},
	abstract = {
	A reverse logistics planning problem is modeled and analyzed. The model considers returns of a particular electronic device from customers. Some of the collected products are remanufactured or refurbished. Others are disassembled for their key parts which can be considered as good as new. New products are assembled either using new parts or extracted ones. There are two types dynamic demands: demands for remanufactured/refurbished products and demands for new products. Demand of remanufactured/refurbished products can be satisfied using new products in case of shortage. This is a one way downward substitution. The objective is to minimize total costs while satisfying all demands. This problem is formulated as a MILP. The numerical results show that: i) it is hard for a solver to find optimal solutions for the problem in reasonable computational times for several instances with relatively small time horizons and ii) substitution is justified for a certain range of cost and demand parameters.

},
	author = {Boutarfa, Youcef and Senoussi Ahmed and Brahimi, N}
}
@proceedings {7277,
	title = {Applications of Bayesian networks in Chemical and Process Industries: A review},
	journal = {29th European Safety and Reliability Conference, August 26, 2019},
	year = {2020},
	abstract = {Despite technological advancements, chemical and process industries are still prone to accidents due to their complexity and hazardous installations. These accidents lead to significant losses that represent economic losses and most importantly human losses. Risk management is one of the appropriate tools to guarantee the safe operations of these plants. Risk analysis is an important part of risk management, it consists of different methods such as Fault tree, Bow-tie, and Bayesian network. The latter has been widely applied for risk analysis purposes due to its flexible and dynamic structure. Bayesian networks approaches have shown a significant increase in their application as shown by in the publication in this field. This paper summarizes the result of a literature review performed on Bayesian network approaches adopted to conduct risk assessments, safety and risk analyses. Different application domains are analysed (i.e. accident modelling, maintenance area, fault diagnosis) in chemical and process industries from the year 2006 to 2018. Furthermore, the advantages of different types of Bayesian networks are presented.},
	url = {https://livrepository.liverpool.ac.uk/3054267/1/Overview_of_BN_in_chemical_and_process_industries.pdf},
	author = {Zerrouki, Hamza and Estrada-Lugo, Hector Diego and Hacene Smadi and Patelli, Edoardo}
}
@proceedings {7276,
	title = {The impact of products exchange in multi-levels multi-products distribution network},
	journal = {Second International Conference on Embedded \& Distributed Systems (EDiS)},
	year = {2020},
	address = {Oran, Algeria},
	abstract = {
	In this paper we analyze a problem of inventory management in a multi-levels multi-products distribution network with three echelon, the studied system consists of a central warehouse and three distribution centers identified by their location zones where each center is connected to a wholesaler group that serve the retailers of his region, which in turn feeds the customers of the regions located in the Algerian territory. The aim of this study is to apply a collaboration between the different actors of the same level in a form of an exchange of products, the exchange can occurs only when the actual demand is being received, in order to study the impact of product exchanges in the distribution networks and its influence on the total costs of the logistics chain from the central warehouse to the delivery to the final customer.

},
	url = {https://ieeexplore.ieee.org/document/9296441},
	author = {Benfriha, Abdennour -Ilyas and Triqui-Sari, Lamia and Bougloula, Aimade-Eddine and BENNEKROUF, Mohammed}
}
@proceedings {7275,
	title = {Minimizing energy consumption in a Job Shop problem with unidirectional transport constraint},
	journal = {13th International Colloquium of Logistics and Supply Chain Management (LOGISTIQUA)},
	year = {2020},
	address = {Fez, Morocco},
	abstract = {
	In this work, we introduce the objective of minimizing energy consumption in a job shop scheduling problem with unidirectional transport constraint. In this problem, it is planned to process a set of N jobs (parts) on four machines. The Movement of jobs between these machines is in a single direction that is mean all the parts follow the same direction of movement. Indeed, the energy consumption in this type of problem depends; on the one hand on the speed of the machines processing the jobs and on the other hand on the speed of the means of transport. To solve this optimization problem, we have proposed a metaheuristic method that allows us to find a better sequencing of jobs in order to minimize the cost generated by energy consumption. Several simulations have been studied and the results obtained demonstrate the effectiveness of the proposed approach.

},
	author = {Hadri, Abdelkader and Belkaid, Fay{\c c}al and Bougloula, Aimade-Eddine}
}
@conference {7274,
	title = {Efficient Approach for Parallel Machine Scheduling Problem},
	booktitle = {International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA 2018)},
	year = {2020},
	address = {Tangier, Morocco},
	abstract = {
	In this paper, we consider a parallel machine scheduling problem with non-renewable resources. Each job consumes several components and must be processed in one stage composed of identical parallel machines. Resources availability operations, jobs assignment and sequencing are considered and optimized simultaneously. In order to find an optimal solution, an exact method is applied to optimize the total completion time. Due to the problem complexity and prohibitive computational time to obtain an exact solution, a metaheuristic approach based genetic algorithm is proposed and several heuristics are adapted to solve it. Moreover, the impact of non-renewable resources procurement methods on production scheduling is analyzed. The system performances are evaluated in terms of measures such as the solution quality and the execution time. The simulation results show that the proposed genetic algorithm gives the same results as the exact method for small instances and performs the best compared to heuristics for medium and large instances.

},
	url = {https://ieeexplore.ieee.org/document/8428302},
	author = {Belkaid, Fay{\c c}al and Hadri, Abdelkader and BENNEKROUF, Mohammed}
}
@proceedings {7266,
	title = {Analysis of Human Skills in Industry 4.0},
	journal = {The Twelfth International Conference on Information, Process, and Knowledge Management (eKNOW 2020)},
	year = {2020},
	abstract = {
	This paper presents a state-of-the-art of recent research work analyzing the requirements of Industry 4.0, particularly related to the competences issue. Over the last few years, the fourth industrial revolution has attracted researchers worldwide to find suitable solutions. However, there are still many gaps related to the Industry 4.0, particularly related to the humans competences issue. Among the many challenges facing companies in this paradigm, one of the most important is the qualification of employees with the necessary skills to succeed in a transformed work environment. To cope with knowledge and competence challenges related to new technologies and processes of Industry 4.0, new strategic approaches for holistic human resource management are needed in manufacturing companies. The main objective of the presented research is to investigate the importance of employee competences, key to the development of Industry 4.0

},
	url = {file:///C:/Users/VRPG/Downloads/eknow_2020_1_40_68008.pdf},
	author = {Fadhila, Djouggane and Samia Aitouche and Aksa,  Karima}
}
@proceedings {7265,
	title = {A Scientometric Framework: Application for Knowledge Management (KM) in Industry Between 2014 and 2019},
	journal = {The Twelfth International Conference on Information, Process, and Knowledge Management (eKNOW 2020)},
	year = {2020},
	abstract = {
	It is always difficult to identify the most recent works that have been published, especially those published in recent years, due to delays in putting publications online, citations indexe, etc. Scientometry offers to researchers various concepts, models and techniques that can be applied to knowledge management (KM) in order to explore its foundations, its state, its intellectual core, and its potential future development. To this end, we have developed a scientometric KM framework to calculate the scientometric indexes related to a query introduced in the Scopus database, to facilitate research and monitoring of productivity and collaboration between the authors of KM in particular and also the dissemination of knowledge. The works between 2014 and 2019 are taken, the industry of services was omitted. It might help the decision makers and researchers to optimize their time and efforts. We used Unified Modeling Language (UML) to translate the development ideas of the scientometric framework structure into diagrams, and Delphi 7 to calculate the indexes and ensure other operations of research (about: articles, their authors, conferences, etc). This framework is only valid for Excel files extracted from Scopus or similar format. Finally, the relation between KM and industry 4.0 was established on found articles in Scopus.

},
	url = {http://personales.upv.es/thinkmind/dl/conferences/eknow/eknow_2020/eknow_2020_1_10_68003.pdf},
	author = {Samia Aitouche and Sahraoui, Khaoula and Aksa,  Karima and Djouggane, Fadhila and Cherrid, Walid and Belayati, Souleyman}
}
@proceedings {7264,
	title = {Application of Data Mining in Industry in the Transition Era to Industry 4.0: Review},
	journal = {The Twelfth International Conference on Information, Process, and Knowledge Management (eKNOW 2020)},
	year = {2020},
	abstract = {
	The era of Industry 4.0 has already begun, however, several improvements should be achieved concerning this revolution. Data mining is one of the modest and efficient tools. Based on a specific query entered in Scopus, related to Industry 4.0, data mining (DM) and logistics, selected documents were studied and analyzed. A brief background of Industry 4.0 and DM are presented. A generic analysis showed that the attentiveness for the cited subject area by countries, universities, authors and especially companies and manufacturers increased through the years. Content analysis reveals that the improvement in quality of the technologies used in manufacturing was noticed, concluding that DM would give Industry 4.0 a leap forward, yet research is dealing with several challenges.

},
	url = {file:///C:/Users/VRPG/Downloads/eknow_2020_1_30_68006.pdf},
	author = {Sahraoui, Khaoula and Samia Aitouche and Aksa,  Karima}
}
@proceedings {7263,
	title = {Post Prognostic Decision for Predictive Maintenance Planning with Remaining Useful Life Uncertainty},
	journal = {Prognostics and Health Management Conference (PHM-Besan{\c c}on)},
	year = {2020},
	address = {Besancon, France},
	abstract = {
	This paper investigates the use of the Particle Swarm Optimization (PSO) algorithm to quantify the effect of RUL uncertainty on predictive maintenance planning. The prediction of RUL is influenced by many sources of uncertainty, and it is required to quantify their combined impact by incorporating the RUL uncertainty in the optimization process to minimize the total maintenance cost. In this work, predictive maintenance of a multi-functional single machine problem is adopted to study the impact of RUL uncertainty on maintenance planning. Therefore, the PSO algorithm is integrated with a random sampling-based strategy to select a sequence that performs better for different values of RUL associated with different jobs. Through a numerical example, results show the importance of optimizing maintenance actions under the consideration of RUL randomness.

},
	url = {https://ieeexplore.ieee.org/document/9115558},
	author = {Benaggoune, Khaled and Meraghni, Safa and Ma, Jian and Leila-Hayet Mouss and Zerhouni, Noureddine}
}
@proceedings {7262,
	title = {Industrial supervision system based on machine learning SVM technique},
	journal = {International Conference on Robotics, Machine Learning and Artificial Intelligence (ICRMLAI),06 february },
	year = {2020},
	address = { Istanbul, Turkey},
	author = {Hanane Zermane and Leila-Hayet Mouss and Touahar, Djamel}
}
@proceedings {7240,
	title = {Global Solar Radiation Forecasting With Evolutionary Autoregressive Models},
	journal = {4th International Conference on Artificial Intelligence in Renewable Energetic Systems (IC-AIRES{\textquoteright}20)},
	year = {2020},
	abstract = {
	Nowadays, the integration of solar power into the electrical grids is vital to increase energy efficiency and profitability. Effective usage of the instable solar production of photovoltaic (PV) systems necessitates trustworthy forecasting information. Actually, this addition can gives an ameliorated service quality if the solar radiation variation can be forecasted accurately. In this paper, we propose a new forecasting approach that integrates Autoregressive Moving Average (ARMA) and Genetic algorithms (GA) to make benefit of both of them in order to forecast Global Horizontal Irradiance (GHI) component. The proposed approach is compared with the standard ARMA model. The experimental results show that, the proposed approach outperforms the classical ARMA models in terms of mean absolute percentage error (MAPE), root mean squared error (RMSE) coefficient of determination (R)2 and the normalized mean squared error (NMSE).

},
	url = {https://www.researchgate.net/publication/349636080_Global_Solar_Radiation_Forecasting_With_Evolutionary_Autoregressive_Models},
	author = {Zemouri, Nahed and Bouzgou, Hassen and Gueymard, Chris}
}
@proceedings {7239,
	title = {Regularization Based Particle Swarm Optimization for Length Changeable Extreme Learning Machine under Health State Estimation of Military Aircraft Engines},
	journal = {8thINTERNATIONAL CONFERENCEON DEFENSESYSTEMS: ARCHITECTURES AND TECHNOLOGIES (DAT{\textquoteright}2020) April14-16,},
	year = {2020},
	address = {Algiers, Algeria},
	abstract = {
	In this work a new data-driven approach for Remaining Useful Life estimation of aircraft engines is developed. The proposed approach is a regularized Single Hidden Layer Feedforward Neural network (SLFN) with incremental constructive enhancements. The training rules of this algorithm are inspired form different Extreme Learning Machine (ELM) variants. Particle Swarm Optimization (PSO) algorithm is integrated to enhance tracking ability of the best regularization parameter to reduce the norm of the tuned weights. The proposed approach is evaluated using C-MAPSS (Commercial Modular Aero-Propulsion System Simulation) dataset and compared to its other derivatives and proved its accuracy. C-MAPSS software has revisions in military and civil applications. In this paper, the military version of its application is the used one.

},
	url = {https://www.researchgate.net/publication/340732320_Regularization_Based_Particle_Swarm_Optimization_for_Length_Changeable_Extreme_Learning_Machine_under_Health_State_Estimation_of_Military_Aircraft_Engines},
	author = {Berghout, Tarek and Leila-Hayet Mouss and Ouahab Kadri}
}
@proceedings {7238,
	title = {Adaptive Sparse On-line Sequential Autoencoder for Sensors Measurements Compression Applied to Military Aircraft Engines},
	journal = {8thINTERNATIONAL CONFERENCEON DEFENSESYSTEMS: ARCHITECTURES AND TECHNOLOGIES (DAT{\textquoteright}2020) April14-16},
	year = {2020},
	address = {Algiers, Algeria},
	abstract = {
	In this work a new data-driven compression approach is presented. The compression algorithm is an autoencoder trained with an improved On-line sequential Extreme Learning Machine (OS-ELM). First, a dynamic adaptation of the training algorithm towards the newly coming data is achieved by integrating an updated selection strategy (USS) and dynamic forgetting function (DDF). Second, Singular Value Decomposition (SVD) is involved to enhance hidden layer representation via sparse mapping. This new developed autoencoder (ASOS- AE) is compared with the ordinary OS-ELM autoencoder (OS-AE) and proved its accuracy in CMAPSS dataset (Commercial Modular Aero-Propulsion System Simulation). The C-MAPSS software has revisions in civil and military applications. In the present work we used the military version of its applications.

},
	url = {https://www.researchgate.net/publication/340732102_Adaptive_Sparse_On-line_Sequential_Autoencoder_for_Sensors_Measurements_Compression_Applied_to_Military_Aircraft_Engines},
	author = {Berghout, Tarek and Leila-Hayet Mouss and Ouahab Kadri}
}
@proceedings {7237,
	title = {Remaining Useful Life Prediction for aircraft engines with a new Denoising On-Line Sequential Extreme Learning Machine with Double Dynamic Forgetting Factors and Update Selection Strategy},
	journal = {12th Conference on Mechanical Engineering March 17-18, 2020 Ecole Militaire Polytechnique Bordj El Bahri},
	year = {2020},
	address = {Algiers, Algeria},
	url = {https://www.researchgate.net/publication/341509226_Remaining_Useful_Life_Prediction_for_aircraft_engines_with_a_new_Denoising_On-Line_Sequential_Extreme_Learning_Machine_with_Double_Dynamic_Forgetting_Factors_and_Update_Selection_Strategy},
	author = {Berghout, Tarek and Leila-Hayet Mouss and Ouahab Kadri}
}
@proceedings {7236,
	title = {Dynamic Adaptation for Length Changeable Weighted Extreme Learning Machine},
	journal = {International conferance of intelligent},
	year = {2020},
	address = {Amsterdam,  The  Netherland},
	abstract = {
	In this paper, a new length changeable extreme learning machine is proposed. The aim of the proposed method is to improve the learning performances of a Single hidden layer feedforward neural network (SLFN) under rich dynamic imbalanced data. Particle Swarm Optimization (PSO) is involved for hyper-parameters tuning and updating during incremental learning. The algorithm is evaluated using a subset from C-MAPSS (Commercial Modular Aero-Propulsion System Simulation) dataset of gas turbine engine and compared to its derivatives. The results prove that the new algorithm has a better learning attitude. The toolbox that contains the developed algorithms of this comparative study is publicly available.

},
	url = {https://www.researchgate.net/publication/337945405_Dynamic_Adaptation_for_Length_Changeable_Weighted_Extreme_Learning_Machine},
	author = {Berghout, Tarek and Leila-Hayet Mouss and Ouahab Kadri}
}
@proceedings {7235,
	title = {Regularized Length Changeable Extreme Learning Machine with Incremental Learning Enhancements for Remaining Useful Life Prediction of Aircraft Engines},
	journal = {1st International Conference on Communications, Control Systems and Signal Processing (CCSSP), 16-17 May},
	year = {2020},
	address = {El Oued, Algeria},
	abstract = {
	The main objective of this works is to study and improve the performances of the Single hidden Layer Feedforward Neural network (SLFN) for the application of Remaining Useful Life (RUL) prediction of aircraft engines. The most common problems in SLFNs based old training algorithms such as backpropagation are time consuming, over-fitting and the appropriate network architecture identification. In this paper a new incremental constructive learning algorithm based on Extreme Learning Machine algorithm is proposed for founding the appropriate architecture of a neural network under less computational costs. The aim of the proposed training approach is to study its maximum capabilities during RUL prediction by reducing over-fitting and human intervention. The performances of the proposed approach which are evaluated on C-MAPPS dataset and compared with its original variant from the literature. Experimental results proved that the new algorithm outperforms the old one in many metrics evaluations.

},
	url = {https://ieeexplore.ieee.org/document/9151607},
	author = {Berghout, Tarek and Leila-Hayet Mouss}
}
@article {7232,
	title = {An Indoor Tutorial For Maintenance And Production: Case Of Textile Batna},
	journal = {khazzartech الاقتصاد الصناعي},
	volume = {10},
	number = {2},
	year = {2020},
	pages = {216-231},
	abstract = {
	Communication and teamwork are among the most recurrent skills associated with knowledge of engineering sciences. However, their application is not simple, due to the lack of a pedagogical approach that contributes to the development of knowledge based on experience. The problem in factories is the lack of daily self learning to avoid the essential presence of the experts in to resolve problems. In this work, we defined what is a learning organization, what is a tutorial and why a personalized tutorial in a trade, its different forms and steps for the development of a tutorial. After we gave a presentation of the company that is Textile Batna. This article discusses how to design a personalized tutorial, oriented and aimed at learning and knowledge transfer in the industry. By developing this system we aim to build an experimental database serving to preserve the knowledge of the production industry expertise of the Batna textile factory. We have designed a tutorial for the company in the form of a website. For this, the UML language was used. The tutorial features were presented. It helped employees to aquire certain skills without assistance of experts.

},
	url = {https://www.asjp.cerist.dz/en/article/141068},
	author = {Ag Hameyni, Abdoulmadjid and Samia Aitouche and Taouririt, Kamel and Aksa,  Karima}
}
@article {7221,
	title = {Determination and Classification of Explosive Atmosphere Zones While Considering the Height of Discharges},
	journal = {Journal of Failure Analysis and Prevention },
	volume = {20},
	year = {2020},
	pages = {503{\textendash}512},
	abstract = {
	Prevention and protection of explosions are two notions often used subjectively, and to transform them into operative terms of decision support, it is indispensable to develop quantitative or semiquantitative approaches to determine the hazardous zones. The {\textquotedblleft}classical and point-source{\textquotedblright} approaches that determine ATEX (explosive atmospheres) zones are semiquantitative methods that can meet the requirements of the ATEX directives (Directives 99/92/EC and 94/9/EC). The methodology{\textquoteright}s principle in determining ATEX zones consists in making a comparison with typical examples {\textquotedblleft}classical approach{\textquotedblright} and to identify the source points, determine the degree of discharge, identify the type of the zone, determine the radius of the zone and ultimately the extent and shape of this zone {\textquotedblleft}source point approach.{\textquotedblright} The aim of this work is, on the one hand, to propose and present a classification methodology of the ATEX zones and, on the other hand, to apply the proposed methodology in a hydrocarbon separator.

},
	url = {https://link.springer.com/article/10.1007/s11668-020-00851-8},
	author = {Mihoub, Zakarya and Ouslati, Ahmed and Hacene Smadi and May, Bilal}
}
@article {7213,
	title = {Enhancement of the competitiveness and the financial capability of a manufacturing process through a new value stream mapping approach},
	journal = {International Journal of Productivity and Quality Management},
	volume = {29},
	number = {4},
	year = {2020},
	abstract = {
	The organisations having a futuristic look and aiming to impose their presence in the industrial field for a long possible term, are seeking for finding solutions linked to controlling their cash flow and assessing their competitiveness performances. Therefore, the purpose of this paper is to propose a new quality and cost value stream mapping for monitoring the costs consumption and assessing the competitiveness of a company. We use three key concepts namely life cycle costing for estimation of the most influential costs on the manufacturing process, the weighted DPMO and Sigma level for assessing the quality level and the competitiveness of the company. Finally, the data obtained are mapped using value stream mapping method for enabling the determination of dysfunctions in the cost and quality context.

},
	url = {https://www.inderscienceonline.com/doi/abs/10.1504/IJPQM.2020.106399},
	author = {Mohyiddine Soltani and Aouag, Hichem and Mouss, Mohammed-Djamel}
}
@article {7212,
	title = {Enhancement of value stream mapping application process through using fuzzy DEMATEL and fuzzy QFD approaches: a case study considering economic and environmental perspectives},
	volume = {16},
	number = {3},
	year = {2020},
	abstract = {
	Purpose



	
		This paper aims to investigate an integrated approach that aims at enhancing the application process of value stream mapping (VSM) method. It also proposes an extended VSM called Economic and Environmental VSM(E-EVSM). The proposed approach highlights the improvement of economic and environmental performances.
	



	Design/methodology/approach



	
		The proposed approach has studied the integration of VSM, fuzzy decision-making trial and evaluation laboratory (DEMATEL) and fuzzy quality function deployment (QFD) to improve the economic and environmental performances of manufacturing processes. The VSM method is used for data collection and manufacturing process assessment, whereas fuzzy DEMATEL is used to analyse the current state map. Finally, fuzzy QFD is used to organize the improvement phase of VSM method.
	



	Findings



	
		The clear findings of this research prove the effectiveness of VSM method on the environmental and economic performances of manufacturing processes. In addition, the proposed approach will show the advantages of fuzzy DEMATEL and fuzzy QFD approaches in improving the application of the VSM method.
	



	Research limitations/implications



	
		The limitation of this study includes the lack of consideration of other dimensions such as social, technological and managerial. In addition, the proposed approach studied an average set of environmental and economic indicators.
	



	Originality/value



	
		The novelty of the proposed approach is proved by the development of an extended VSM method (E-EVSM). Also, the proposed approach contributes by a new methodology for analysing and improving the current state map of manufacturing processes.
	

},
	url = {Journal of Modelling in Management},
	author = {Aouag, Hichem and Mohyiddine Soltani and Mouss, Mohamed-Djamel}
}
@article {7211,
	title = {HARDWARE IMPLEMENTATION USING XSG OF NEW FAULT DETECTION METHOD APPLIED TO ROBOT MANIPULATOR},
	journal = {Mechatronic Systems and Control },
	year = {2020},
	abstract = {
	This paper presents a new hardware implementation of a supervision system used in robot manipulators with two degrees of freedom. In addition to the simulation results, the new System Generator tool of Xilinx r is used to ensure self-generation of HDL codes. This code is used to configure field programmable gate arrays (FPGA) devices in the loop, and the supervision system is used mainly to ensure real-time reconfiguration of robots. In the proposed system, we used a new fault detection (FD) method for a viscous friction fault in the supervised robot combined with a fault-tolerance control method. The first module, based on residual analysis, is used to FD and to properly estimate the necessary corrections of the second module. For data transmission between the supervisor and the supervised robots, we used an approach based on the transmission control protocol. The simulation results show that the proposed method adjusts the fault effect using information transferred from the remote supervisor robot. The hardware implementation generated using Xilinx r System Generator is used to validate the proposed contribution and to ensure real-time processing in the case of industrial robots. The simulation results and the response times of both proposed systems are compared and discussed.

},
	url = {https://www.actapress.com/Abstract.aspx?paperId=47131},
	author = {Ghrieb, Abdel-O and Kourd, Yahia and Messaoudi, Kamel and Mouss, Mohamed-Djamel and Bakir, Toufik}
}
@article {7209,
	title = {DIGITAL LEARNING WITH COVID-19 IN ALGERIA},
	journal = {INTERNATIONAL JOURNAL OF 3D PRINTING TECHNOLOGIES AND DIGITAL INDUSTRY},
	volume = {4},
	number = {2},
	year = {2020},
	pages = { 161-170},
	abstract = {
	The coronavirus (COVID-19) pandemic poses an unprecedented global challenge, impacting profoundly on health and wellbeing, daily life, and the economy around the world. The COVID-19 pandemic has also changed education forever. The COVID-19 has resulted in schools shut all across the world. Globally, all children at schools or students at universities are out of the classroom. As a result, education has changed dramatically, with the notable rise of e-learning, whereby teaching is undertaken remotely and on digital platforms. Batna 2 University -situated in East of Algeria- is one of the universities suggested after the spread of COVID-19 in March, that online learning has been shown to increase retention of information, and take less time, meaning the changes coronavirus have caused might be here to stay. All institutes and departments, including the Industrial Engineering department, are started using the e-learning Moodle platform to publish courses for all degrees of study and establish online sessions, especially for Ph.D. students.

},
	url = {https://dergipark.org.tr/en/download/article-file/1237519},
	author = {Hanane Zermane and Samia Aitouche}
}
@article {7207,
	title = {An integrated framework using VSM, AHP and TOPSIS for simplifying the sustainability improvement process in a complex manufacturing process},
	journal = {Journal of Engineering, Design and Technology},
	volume = {18},
	number = {1},
	year = {2020},
	abstract = {
	Purpose



	
		The purpose of this paper is to propose an integrated approach for assessing the sustainability of production and simplifying the improvement tasks in complex manufacturing processes.
	



	Design/methodology/approach



	
		The proposed approach has been investigated the integration of value stream mapping (VSM), analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS). VSM is used as a basic structure for assessing and improving the sustainability of the manufacturing process. AHP is used for weighting the sustainability indicators and TOPSIS for prioritizing the operations of a manufacturing process regarding the improvement side.
	



	Findings



	
		The results carried out from this study help the managers{\textquoteright} staff in organizing the improvement phase in the complex manufacturing processes through computing the importance degree of each indicator and determining the most influential operations on the production.
	



	Research limitations/implications



	
		The major limitations of this paper are that one case study was considered. In addition, to an average set of sustainability indicators that have been treated.
	



	Originality/value



	
		The novelty of this research is expressed by the development of an extended VSM in complex manufacturing processes. In addition, the proposed approach contributes with a new improvement strategy through integrating the multi-criteria decision approaches with VSM method to solve the complexity of the improvement process from sustainability viewpoints.
	

},
	url = {https://www.emerald.com/insight/content/doi/10.1108/JEDT-09-2018-0166/full/html},
	author = {Mohyiddine Soltani and Aouag, Hichem and Mohamed Djamel Mouss}
}
@article {7206,
	title = {Enhancement of the competitiveness and the financial capability of a manufacturing process through a new value stream mapping approach},
	journal = {International Journal of Productivity and Quality Management},
	volume = {29},
	number = {4},
	year = {2020},
	abstract = {
	The organisations having a futuristic look and aiming to impose their presence in the industrial field for a long possible term, are seeking for finding solutions linked to controlling their cash flow and assessing their competitiveness performances. Therefore, the purpose of this paper is to propose a new quality and cost value stream mapping for monitoring the costs consumption and assessing the competitiveness of a company. We use three key concepts namely life cycle costing for estimation of the most influential costs on the manufacturing process, the weighted DPMO and Sigma level for assessing the quality level and the competitiveness of the company. Finally, the data obtained are mapped using value stream mapping method for enabling the determination of dysfunctions in the cost and quality context.

},
	url = {https://www.inderscienceonline.com/doi/abs/10.1504/IJPQM.2020.106399},
	author = {Mohyiddine Soltani and Aouag, Hichem and Mouss, Mohammed-Djamel}
}
@article {7189,
	title = {HYBRID MULTI-AGENT AND IMMUNE ALGORITHM APPROACH TO HYBRID FLOW SHOPS SCHEDULING WITH SDST},
	journal = {ACADEMIC JOURNAL OF MANUFACTURING ENGINEERING},
	volume = {18},
	number = {3},
	year = {2020},
	abstract = {
	The existing literature on process scheduling issues have either ignored installation times or assumed that installation times on all machines is free by association with the task sequence. This working arrangement addresses hybrid flow shop scheduling issues under which there are sequence-dependent configuration times referred to as HFS with SDST. This family of production systems are common in industries such as biological printed circuit boards, metallurgy and vehicles and automobiles making. Due to the increasing complexity of industrialized sectors, simple planning systems have failed to create a realistic industrial scheduling. Therefore, a hybrid multi-agent and immune algorithm can be used as an alternative approach to solve complex problems and produce an efficient industrial schedule in a timely manner. We propose in this paper a multi-agent and immune hybrid algorithms for scheduling HFS with SDST. The findings of this paper suggest that the proposed algorithm outperforms some of the existing ones including PSO (particle swarm optimization), GA (Genetic Algorithm), LSA (Local Search Algorithm) and NEHH (Nawaz Enscore and Ham).

},
	url = {https://www.ajme.ro/PDF_AJME_2020_3/L15.pdf},
	author = {Adel Abdelhadi and Leila-Hayet Mouss and Ouahab Kadri}
}
@article {7176,
	title = {A new approach agent-based for distributing association rules by business to improve decision process in ERP systems},
	journal = {International Journal of Information and Decision Sciences},
	volume = {12},
	number = {1},
	year = {2020},
	abstract = {
	Nowadays, the distributed computing plays an important role in the data mining process. To make systems scalable it is important to develop mechanisms that distribute the workload among several sites in a flexible way. Moreover, the acronym ERP refers to the systems and software packages used by organisations to manage day-by-day business activities. ERP systems are designed for the defined schema that usually has a common database. In this paper, we present a collaborative multi-agent based system for association rules mining from distributed databases. In our proposed approach, we combine the multi-agent system with association rules as a data mining technique to build a model that can execute the association rules mining in a parallel and distributed way from the centralised ERP database. The autonomous agents used to provide a generic and scalable platform. This will help business decision-makers to take the right decisions and provide a perfect response time using multi-agent system. The platform has been compared with the classic association rules algorithms and has proved to be more efficient and more scalable.

},
	url = {https://www.inderscience.com/info/inarticle.php?artid=104993},
	author = {Zoubeidi, Merouane and Kazar, Okba and Benharzallah, Saber and Mesbahi, Nadjib and Merizig, Abdelhak and Rezki, Djamil}
}
@article {7175,
	title = {HYBRID MULTI-AGENT AND IMMUNE ALGORITHM APPROACH TO HYBRID FLOW SHOPS SCHEDULING WITH SDST},
	journal = {https://www.ajme.ro/PDF_AJME_2020_3/L15.pdf},
	volume = {18},
	number = {3},
	year = {2020},
	abstract = {
	The existing literature on process scheduling issues have either ignored installation times or assumed that installation times on all machines is free by association with the task sequence. This working arrangement addresses hybrid flow shop scheduling issues under which there are sequence-dependent configuration times referred to as HFS with SDST. This family of production systems are common in industries such as biological printed circuit boards, metallurgy and vehicles and automobiles making. Due to the increasing complexity of industrialized sectors, simple planning systems have failed to create a realistic industrial scheduling. Therefore, a hybrid multi-agent and immune algorithm can be used as an alternative approach to solve complex problems and produce an efficient industrial schedule in a timely manner. We propose in this paper a multi-agent and immune hybrid algorithms for scheduling HFS with SDST. The findings of this paper suggest that the proposed algorithm outperforms some of the existing ones including PSO (particle swarm optimization), GA (Genetic Algorithm), LSA (Local Search Algorithm) and NEHH (Nawaz Enscore and Ham).

},
	url = {https://www.ajme.ro/PDF_AJME_2020_3/L15.pdf},
	author = {Adel Abdelhadi and Leila-Hayet Mouss and Ouahab Kadri}
}
@article {7174,
	title = {Rate of Penetration (ROP) Prediction in Oil Drilling Based on Ensemble Machine Learning},
	journal = {ICT for an Inclusive World},
	year = {2020},
	abstract = {
	This work presents the prediction of the rate of progression in oil drilling based on random forest algorithm, which is part of the family of ensemble machine learning. The ROP parameter plays a very important role in oil drilling, which has a great impact on drilling costs, and its prediction allows drilling engineers to choose the best combination of input parameters for better progress in drilling operations. To resolve this problem, several works have been realized with the different modeling techniques as machine learning: RNAs, Bayesian networks, SVM etc. The random forest algorithm chosen for our model is better than the other MLS techniques. in speed or precision, following what we found in the literature and tests done with the open source machine learning tool on historical oil drilling logs from fields of Hassi Terfa located in southern Algeria.

},
	url = {https://link.springer.com/chapter/10.1007/978-3-030-34269-2_37},
	author = {Rezki, Djamil and Leila Hayet Mouss and Baaziz,  Abdelkader and Rezki, Nafissa}
}
@article {7173,
	title = {User behaviour-based approach to define mobility devices needs of disabled person in Algeria: a questionnaire study},
	journal = {Disability and Rehabilitation: Assistive Technology},
	volume = {17},
	number = {4},
	year = {2020},
	pages = { 453-461},
	abstract = {
	This article showcases the adaptability of existing mobility devices for the Algerian disabled population. It aims to develop a behavior model of disabled Algerian persons through (1) development of a theoretical model based on literature review and (2) improvement of this model by using local collected data from our developed questionnaire.

},
	url = {https://www.tandfonline.com/doi/abs/10.1080/17483107.2020.1791263},
	author = {Bellal, Salah-Eddine and Leila-Hayet Mouss and Sahnoun, M{\textquoteright}hammed and Messaadia, Mourad}
}
@article {7172,
	title = {Complex network to enhance characterization analysis in modelling product development process},
	journal = {African Journal of Science, Technology, Innovation and Development },
	volume = {21},
	number = {7},
	year = {2020},
	pages = {797-811},
	abstract = {
	Nowadays, successful and innovative product development is highly correlated with the company{\textquoteright}s success and reason for existence. A development process is a major factor influencing cost, timing and quality of product development. It requires additional attention to decisions made about programme, budget, technical and market risks. In this paper a product development process model is proposed in an innovation context and strategy framework of design process and project management. The process modelling is complex network theory based, to improve characterization analysis for product development process modelling. Required concepts for complex process are established to build product development mathematical model, and provide an overview of key definitions and complex networks advanced tools. Finally, a case study for an Algerian electric generator company is carried out to prove the practicality of the proposed model.

},
	url = {https://www.tandfonline.com/doi/abs/10.1080/20421338.2020.1762355?journalCode=rajs20},
	author = {Bencherif, Fateh and Leila-Hayet Mouss}
}
@article {7171,
	title = {Holonic agent-based approach for system-level remaining useful life estimation with stochastic dependence },
	journal = {International Journal of Computer Integrated Manufacturing},
	volume = {33},
	number = {10},
	year = {2020},
	abstract = {
	The emerging behavior in complex systems is more complicated than the sum of the behaviors of their constituent parts. This behavior involves the propagation of faults between the parts and requires information about how the parts are related. Therefore, the prognostic function at the system-level becomes a very tough task. Conventional approaches focus on identifying faults and their probabilities of occurrence. In complex systems, this can create statistical limitations for prognostic function where component fault relies on the connected components in the system and their state of degradations. In this paper, a new Holonic agent-based approach is proposed for system-level remaining useful life (S-RUL) estimation with different dependencies. As the proposed approach can capture fault/failure mode propagation and interactions that occur in the system all the way up through the component and eventually system level, it can work as an automatic testing-tool in reliability tasks. Through a numerical example, the implementation is done in Java Agent Development Environment with and without consideration of stochastic dependence. Results show that the indirect effect of influencing components has a massive impact on the S-RUL, and the impact of stochastic dependencies should not be ignored, especially in the early stages of the system design.

},
	url = {https://www.tandfonline.com/doi/abs/10.1080/0951192X.2020.1795926?journalCode=tcim20},
	author = {Benaggoune, Khaled and Leila Hayet Mouss and A Abdessemed and Bensakhria, Mohamed}
}
@article {7170,
	title = {New fusion and selection approaches for estimating the remaining useful life using Gaussian process regression and induced ordered weighted averaging operators},
	journal = {Quality and Reliability Engenieering International Journal (QREIJ) },
	volume = {36},
	number = {6},
	year = {2020},
	pages = {2146-2169},
	abstract = {
	In this paper, we propose new fusion and selection approaches to accurately predict the remaining useful life. The fusion scheme is built upon the combination of outcomes delivered by an ensemble of Gaussian process regression models. Each regressor is characterized by its own covariance function and initial hyperparameters. In this context, we adopt the induced ordered weighted averaging as a fusion tool to achieve such combination. Two additional fusion techniques based on the simple averaging and the ordered weighted averaging operators besides a selection approach are implemented. The differences between adjacent elements of the raw data are used for training instead of the original values. Experimental results conducted on lithium-ion battery data report a significant improvement in the obtained results. This work may provide some insights regarding the development of efficient intelligent fusion alternatives for further prognostic advances.

},
	url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/qre.2688},
	author = {Bouzenita, Mohammed and Leila-Hayet Mouss and Melgani, Farid and Toufik Bentrcia}
}
@article {7169,
	title = {Aircraft Engines Remaining Useful Life Prediction with an Improved Online Sequential Extreme Learning Machine},
	journal = {Appl. Sci},
	volume = {10},
	number = {3},
	year = {2020},
	abstract = {
	The efficient data investigation for fast and accurate remaining useful life prediction of aircraft engines can be considered as a very important task for maintenance operations. In this context, the key issue is how an appropriate investigation can be conducted for the extraction of important information from data-driven sequences in high dimensional space in order to guarantee a reliable conclusion. In this paper, a new data-driven learning scheme based on an online sequential extreme learning machine algorithm is proposed for remaining useful life prediction. Firstly, a new feature mapping technique based on stacked autoencoders is proposed to enhance features representations through an accurate reconstruction. In addition, to attempt into addressing dynamic programming based on environmental feedback, a new dynamic forgetting function based on the temporal difference of recursive learning is introduced to enhance dynamic tracking ability of newly coming data. Moreover, a new updated selection strategy was developed in order to discard the unwanted data sequences and to ensure the convergence of the training model parameters to their appropriate values. The proposed approach is validated on the C-MAPSS dataset where experimental results confirm that it yields satisfactory accuracy and efficiency of the prediction model compared to other existing methods.

},
	url = {https://www.mdpi.com/2076-3417/10/3/1062},
	author = {Berghout, Tarek and Le{\"\i}la-Hayet Mouss and Ouahab Kadri and Sa{\"\i}di, Lotfi and Mohamed Benbouzid}
}
@article {7168,
	title = {Intelligent Industrial Process Control Based on Fuzzy Logic and Machine Learning},
	journal = { International Journal of Fuzzy System Applications (IJFSA)},
	volume = {9},
	number = {1},
	year = {2020},
	abstract = {
	Manufacturing automation is a double-edged sword, on one hand, it increases productivity of production system, cost reduction, reliability, etc. However, on the other hand it increases the complexity of the system. This has led to the need of efficient solutions such as artificial techniques. Data and experiences are extracted from experts that usually rely on common sense when they solve problems. They also use vague and ambiguous terms. However, knowledge engineer would have difficulties providing a computer with the same level of understanding. To resolve this situation, this article proposed fuzzy logic to know how the authors can represent expert knowledge that uses fuzzy terms in supervising complex industrial processes as a first step. As a second step, adopting one of the powerful techniques of machine learning, which is Support Vector Machine (SVM), the authors want to classify data to determine state of the supervision system and learn how to supervise the process preserving habitual linguistic used by operators.

},
	url = {https://www.igi-global.com/article/intelligent-industrial-process-control-based-on-fuzzy-logic-and-machine-learning/245272},
	author = {Hanane Zermane and Kasmi, Rached}
}
@article {7167,
	title = {Rate of Penetration (ROP) Prediction in Oil Drilling Based on Ensemble Machine Learning},
	journal = {Lecture Notes in Information Systems and Organisation},
	year = {2020},
	author = {Rezki, Djamil and Leila-Hayet Mouss and Baaziz,  Abdelkader and Rezki, Nafissa}
}
@book {7141,
	title = {Routage G{\'e}ographique Bas{\'e} sur le Syst{\`e}me de Coordonn{\'e}es Virtuelles},
	year = {2020},
	edition = { {\'E}ditions universitaires europ{\'e}ennes },
	abstract = {
	Ce livre pr{\'e}sente un syst{\`e}me de coordonn{\'e}es virtuelles appel{\'e} VCSCClockwise. Ce dernier est libre-GPS et sans points de r{\'e}f{\'e}rence aidant {\`a} cr{\'e}er les coordonn{\'e}es virtuelles. En se basant sur la notion de cluster, ce syst{\`e}me fonctionne parfaitement dans un r{\'e}seau homog{\`e}ne avec une forte connectivit{\'e} en produisant trois coordonn{\'e}es virtuelles uniques associ{\'e}es {\`a} chaque n{\oe}ud-capteur dans le r{\'e}seau. Declivity est un protocole de routage g{\'e}ographique utilis{\'e} pour tester et {\'e}valuer ce syst{\`e}me de coordonn{\'e}es virtuelles. Ce protocole peut choisir le chemin le plus court avec le minimum de dissipation de l{\textquoteright}{\'e}nergie. En plus, la livraison est toujours garantie que se soit dans un r{\'e}seau homog{\`e}ne avec une forte densit{\'e} ou non.

},
	author = {Aksa,  Karima}
}
@inbook {7140,
	title = {Rate of Penetration (ROP) Prediction in Oil Drilling Based on Ensemble Machine Learning},
	booktitle = {ICT for an Inclusive World},
	year = {2020},
	pages = {537-549},
	publisher = {Springer},
	organization = {Springer},
	abstract = {
	This work presents the prediction of the rate of progression in oil drilling based on random forest algorithm, which is part of the family of ensemble machine learning. The ROP parameter plays a very important role in oil drilling, which has a great impact on drilling costs, and its prediction allows drilling engineers to choose the best combination of input parameters for better progress in drilling operations. To resolve this problem, several works have been realized with the different modeling techniques as machine learning: RNAs, Bayesian networks, SVM etc. The random forest algorithm chosen for our model is better than the other MLS techniques. in speed or precision, following what we found in the literature and tests done with the open source machine learning tool on historical oil drilling logs from fields of Hassi Terfa located in southern Algeria.

},
	url = {https://econpapers.repec.org/bookchap/sprlnichp/978-3-030-34269-2_5f37.htm},
	author = {Rezki, Djamil and Leila-Hayet Mouss and Baaziz,  Abdelkader and Rezki, Nafissa}
}
@mastersthesis {7313,
	title = {De l\&$\#$39;intelligence artificielle vers la Machine Learning},
	year = {2019},
	type = {Habilitation Universitaire},
	author = {Hanane Zermane}
}
@mastersthesis {7310,
	title = {R{\'e}solution des probl{\`e}mes de Pronostic avec des techniques d\&$\#$39;intelligence artificielle },
	year = {2019},
	author = {Rafik Mahdaoui}
}
@proceedings {7282,
	title = {A Study with Simulation of Range Free Localization Techniques in Wireless Sensors Networks},
	journal = {International Conference on Advanced Electrical Engineering (ICAEE)},
	year = {2019},
	address = {Algiers, Algeria},
	abstract = {
	Wireless sensors networks are used in several fields of application, in most applications, knowing the location of the sensors nodes is necessary. According to the distribution of the calculations on sensors nodes, the localization techniques are classified into two techniques: centralized and decentralized (distributed). Distributed localization techniques can be classified into two categories: range free and range based. DV-HOP is a range free simple localization algorithm, but it has low localization accuracy, despite the improvements of the proposed DV-Hop algorithms. Maintaining a balance between a high location accuracy and good stability and simplicity is always a challenge. In this article, we have focused our study on the localization algorithm range free DV-HOP, the study is based on the accuracy error which is the most important factor in the localization. To better study the DV-HOP algorithm, we implemented DV-HOP using MATLAB. The purpose of this article is to present Range Free localization techniques and open up a perspective of proposing new localization techniques in wireless sensors networks.

},
	url = {https://ieeexplore.ieee.org/document/9014694},
	author = {Mehannaoui, Raouf and Mouss, Nadia-Kenza}
}
@proceedings {7281,
	title = {Products exchange in a multi-level distribution network},
	journal = {International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA)},
	year = {2019},
	address = {Montreuil - Paris, France},
	abstract = {
	This study addresses the problem of inventory management in a multi-level retailers{\textquoteright} network of the company Lit Mag that manufactures and distributes mattresses. Its distribution network constitutes a central warehouse and several distribution centers located in Algerian cities, and each center delivers vendors to the area and each vendor is connected to set of customers. The network studied is composed of several levels: the starting point is the warehouse, the first level of the distributors, the second level for sellers and the last level for customers. each retailer in the network handles its order locally and independently of other retailers. In this work, we propose a collaboration between the different actors of the same level, by the exchange of products between them, in order to satisfy the demand of a seller by the residual stock of another neighbor seller and this is applied to all stages of the network. The purpose of this study in to see the impact of product exchanges in the distribution networks and their influence on the total costs of the logistics chain from the central warehouse to the final customer

},
	url = {https://ieeexplore.ieee.org/document/8907258},
	author = {Benfriha, Abdennour -Ilyas and Triqui-Sari, Lamia and Bougloula, Aimade-Eddine}
}
@proceedings {7273,
	title = {Optimization of maintenance under double constraints, security and availability: Case study},
	journal = {The First International Conference on Materials, Environment, Mechanical and Industrial Systems (ICMEMIS 2019)},
	year = {2019},
	address = {Djelfa, Algeria},
	author = {Soltani, Khaoula and Benzouai, Messaoud and Mouss, Mohamed-Djamel}
}
@proceedings {7261,
	title = {Enhancement of the industrial performances through using Value Stream Mapping method: a case study in an Algerian company},
	journal = { International Symposium on Technology \& Sustainable Industry Development (ISTSID{\textquoteright}2019)},
	year = {2019},
	address = {El Oued, Algeria},
	author = {Mohyiddine Soltani and Aouag, Hichem and Mouss, Mohamed-Djamel and Maaref, Tarek}
}
@proceedings {7260,
	title = {Assessment and enhancement of the performance level of an Algerian company},
	journal = {International Symposium on Technology \& Sustainable Industry Development (ISTSID{\textquoteright}2019), 25-26/02},
	year = {2019},
	address = {El Oued, Algeria},
	url = {https://www.researchgate.net/publication/331473496_Assessment_and_enhancement_of_the_performance_level_of_an_Algerian_company},
	author = {Aouag, Hichem and Soltani, Mohyiddin and Mouss, Mohamed-Djamel}
}
@proceedings {7259,
	title = {Optimization of maintenance under double constraints, security and availability: Case study},
	journal = {The First International Conference on Materials, Environment, Mechanical and Industrial Systems. ICMEMIS 2019 },
	year = {2019},
	address = {Djelfa, Algeria},
	author = {Soltani Khaoula and Benzouai, Messaoud and Mouss, Mohamed-Djamel}
}
@article {7227,
	title = {Optimization of single outsourcer\&ndash;single subcontractor outsourcing relationship under reliability and maintenance constraints},
	journal = { Journal of Industrial Engineering International},
	volume = {15},
	year = {2019},
	pages = {pages395{\textendash}409},
	abstract = {
	In this paper, we focus on outsourcing activities optimization problem in single period setting. In some situations, capacity planning or outsourcing is a one-time event and can be modeled as a single period problem. The aim of this research is to balance the trade-off between two echelons of a supply chain consisting of a single outsourcer and a single subcontractor. Each part is composed of a failure-prone single machine that produces one product type to satisfy market requirements. The outsourcer{\textquoteright}s manufacturing system is not able to satisfy the demand; in this case, outsourcing is allowed to recover the lack of capacity. We consider that the subcontractor can satisfy the demands of strategic clients and rent his machine for the outsourcer under a win{\textendash}win partnership contract. We assume that the hazard failure rate depends on time and the adopted manufacture rate. When unforeseen failures occur, minimal repairs are implemented. Overhaul can be performed to reduce the degradation effects. Hence, we develop a mathematical model to define a profitability interval so that both parties of supply chain can be considered as winners. We seek to determine the contract parameters that suit both parties (duration, start and end dates, the production and outsourcing rates). Then, we develop an exact algorithm to solve the problem of single period optimization, which offers a better execution time through a series of test problems. Finally, we consider a sensitivity analysis based on outsourcing parameters (cost, periodicities, etc) to analyze their effects on partial costs and individual profit of each part, as well as the total profit generated by the system.

},
	url = {https://link.springer.com/article/10.1007/s40092-019-0307-9},
	author = {Haoues, Mohammed and Dahane, Mohammed and Mouss, Nadia-Kinza}
}
@article {7226,
	title = {Outsourcing optimization in two-echelon supply chain network under integrated production-maintenance constraints},
	journal = {Journal of Intelligent Manufacturing},
	volume = {30},
	year = {2019},
	pages = {701{\textendash}725},
	abstract = {
	In this paper, we study a two-echelon supply chain network consisting of multi-outsourcers and multi-subcontractors. Each one is composed of a failure-prone production unit that produces a single product to fulfil market demands with variable production rates. Sometimes the manufacturing systems are not able to satisfy demand; in this case, outsourcing option is adopted to improve the limited in-house production capacity. The outsourcing is not justified by the production lack of manufacturing systems, but is also considered for the costs minimization issues. In the considered problem, we assume that the failure rate is dependent on the time and production rate. Preventive maintenance activities can be conducted to mitigate the deterioration effects, and minimal repairs are performed when unplanned failures occurs. We consider that the production cost depends on the rate of the machine utilization. The aim of this research is to propose a joint policy based on a mixed integer programming formulation to balance the trade-off between two-echelon of supply chain. We seek to assist outsourcers to determine the integrated in-house/ outsourcing, and maintenance plans, and the subcontractors to determine the integrated production-maintenance plans so that the benefit of the supply chain is maximized over a finite planning horizon. We develop an improved optimization procedure based on the genetic algorithms, and we discuss and conduct computational experiments to study the managerial insights for the developed framework.

},
	url = {https://link.springer.com/article/10.1007/s10845-016-1273-3},
	author = {Haoues, Mohammed and Dahane, Mohammed and Mouss, Nadia-Kenza}
}
@article {7220,
	title = {SIMD Implementation of the Aho-Corasick Algorithm using Intel AVX2},
	journal = {Scalable Computing: Practice and Experience},
	volume = {20},
	number = {3},
	year = {2019},
	abstract = {
	The Aho-Corasick (AC) algorithm is a multiple pattern exact string-matching algorithm proposed by Alfred V. Aho and Margaret J. Corasick. It is used to locate all occurrences of a finite set of patterns within an input text simultaneously. The AC algorithm is in the heart of many applications including digital forensics such as digital signatures demonstrating the authenticity of a digital message or document, full text search (utility programs such as grep, awk and sed of Unix systems), information retrieval (biological sequence analysis and gene identification), intrusion detection systems (IDS) in computer networks like SNORT, web filtering, spam filters, and antimalware solutions (virus scanner). In this paper we present a vectorized version of the AC algorithm designed with the use of packed instructions based on the Intel streaming SIMD (Single Instruction Multiple Data) extensions AVX2 (Advanced Vector Extensions 2.0) technology. This paper shows that the vectorized AC algorithm reduces significantly the time matching process comparing to the implementation of the original AC algorithm.

},
	url = {https://scpe.org/index.php/scpe/article/view/1572},
	author = {Ourlis, Lazhar and Djamel Bellala}
}
@article {7219,
	title = {Reliability and safety analysis using fault tree and Bayesian networks},
	journal = {International Journal of Computer Aided Engineering and Technology},
	volume = {11},
	number = {1},
	year = {2019},
	abstract = {
	Fault tree analysis (FTA) is one of the most prominent techniques used in risk analysis, this method aimed to identify how component failures lead to system failure using logical gates (i.e. AND, OR gates). However, some limitations appear on FTA due to its static structure. Bayesian networks (BNs) have become a popular technique used in reliability analysis; it represents a set of random variables and their conditional dependencies. This paper discusses the advantages of Bayesian networks over fault tree in reliability and safety analysis. Also, it shows the ability of BN to update probabilities, to represent multi-state variables, dependent failures, and common cause failure. An example taken from the literature is used to illustrate the application and compare the results of both fault tree and bayesian networks techniques.

},
	url = {https://www.inderscience.com/info/inarticle.php?artid=96720},
	author = {Zerrouki Hamza and Smadi Hacene}
}
@article {7210,
	title = {An integrated framework using VSM, AHP and TOPSIS for simplifying the sustainability improvement process in a complex manufacturing process},
	journal = {Journal of Engineering, Design and Technology},
	volume = {18},
	number = {1},
	year = {2019},
	abstract = {
	Purpose



	
		The purpose of this paper is to propose an integrated approach for assessing the sustainability of production and simplifying the improvement tasks in complex manufacturing processes.
	



	Design/methodology/approach



	
		The proposed approach has been investigated the integration of value stream mapping (VSM), analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS). VSM is used as a basic structure for assessing and improving the sustainability of the manufacturing process. AHP is used for weighting the sustainability indicators and TOPSIS for prioritizing the operations of a manufacturing process regarding the improvement side.
	



	Findings



	
		The results carried out from this study help the managers{\textquoteright} staff in organizing the improvement phase in the complex manufacturing processes through computing the importance degree of each indicator and determining the most influential operations on the production.
	



	Research limitations/implications



	
		The major limitations of this paper are that one case study was considered. In addition, to an average set of sustainability indicators that have been treated.
	



	Originality/value



	
		The novelty of this research is expressed by the development of an extended VSM in complex manufacturing processes. In addition, the proposed approach contributes with a new improvement strategy through integrating the multi-criteria decision approaches with VSM method to solve the complexity of the improvement process from sustainability viewpoints.
	

},
	url = {https://www.emerald.com/insight/content/doi/10.1108/JEDT-09-2018-0166/full/html},
	author = {Mohyiddine Soltani and Aouag, Hichem and Mouss, Mohamed-Djamel}
}
@article {7208,
	title = {Bidirectional deep architecture for Arabic speech recognition},
	journal = { Open Computer Science},
	volume = {9},
	number = {1},
	year = {2019},
	abstract = {
	Nowadays, the real life constraints necessitatescontrolling modern machines using human interventionby means of sensorial organs. The voice is one of the hu-man senses that can control/monitor modern interfaces.In this context, Automatic Speech Recognition is princi-pally used to convert natural voice into computer text aswell as to perform an action based on the instructionsgiven by the human. In this paper, we propose a generalframework for Arabic speech recognition that uses LongShort-Term Memory (LSTM) and Neural Network (Multi-Layer Perceptron: MLP) classifier to cope with the non-uniform sequence length of the speech utterances issuedfrom both feature extraction techniques, (1) Mel FrequencyCepstral Coefficients MFCC (static and dynamic features),(2) the Filter Banks (FB) coefficients. The neural architec-ture can recognize the isolated Arabic speech via classifi-cation technique. The proposed system involves, first, ex-tracting pertinent features from the natural speech signalusing MFCC (static and dynamic features) and FB. Next,the extracted features are padded in order to deal with thenon-uniformity of the sequences length. Then, a deep ar-chitecture represented by a recurrent LSTM or GRU (GatedRecurrent Unit) architectures are used to encode the se-quences of MFCC/FB features as a fixed size vector that willbe introduced to a Multi-Layer Perceptron network (MLP)to perform the classification (recognition). The proposedsystem is assessed using two different databases, the firstone concerns the spoken digit recognition where a com-parison with other related works in the literature is per-formed, whereas the second one contains the spoken TVcommands. The obtained results show the superiority ofthe proposed approach.

},
	url = {https://www.degruyter.com/document/doi/10.1515/comp-2019-0004/html},
	author = {Zerari, Naima and Samir Abdelhamid and Bouzgou, Hassen and Raymond, Christian}
}
@article {7166,
	title = {Bidirectional deep architecture for Arabic speech recognition},
	journal = { Open Computer Science},
	volume = {9},
	year = {2019},
	pages = {92-102},
	abstract = {
	Nowadays, the real life constraints necessitatescontrolling modern machines using human interventionby means of sensorial organs. The voice is one of the hu-man senses that can control/monitor modern interfaces.In this context, Automatic Speech Recognition is princi-pally used to convert natural voice into computer text aswell as to perform an action based on the instructionsgiven by the human. In this paper, we propose a generalframework for Arabic speech recognition that uses LongShort-Term Memory (LSTM) and Neural Network (Multi-Layer Perceptron: MLP) classifier to cope with the non-uniform sequence length of the speech utterances issuedfrom both feature extraction techniques, (1) Mel FrequencyCepstral Coefficients MFCC (static and dynamic features),(2) the Filter Banks (FB) coefficients. The neural architec-ture can recognize the isolated Arabic speech via classifi-cation technique. The proposed system involves, first, ex-tracting pertinent features from the natural speech signalusing MFCC (static and dynamic features) and FB. Next,the extracted features are padded in order to deal with thenon-uniformity of the sequences length. Then, a deep ar-chitecture represented by a recurrent LSTM or GRU (GatedRecurrent Unit) architectures are used to encode the se-quences of MFCC/FB features as a fixed size vector that willbe introduced to a Multi-Layer Perceptron network (MLP)to perform the classification (recognition). The proposedsystem is assessed using two different databases, the firstone concerns the spoken digit recognition where a com-parison with other related works in the literature is per-formed, whereas the second one contains the spoken TVcommands. The obtained results show the superiority ofthe proposed approach.

},
	url = {https://www.degruyter.com/document/doi/10.1515/comp-2019-0004/html},
	author = {Zerari, Naima and Samir Abdelhamid and Bouzgou, Hassen and Raymond, Christian}
}
@article {7165,
	title = {Fast short-term global solar irradiance forecasting with wrapper mutual information},
	journal = {Renewable Energy},
	volume = {133},
	year = {2019},
	pages = {1055-1065},
	abstract = {
	Accurate solar irradiance forecasts are now key to successfully integrate the (variable) production from large\&nbsp;solar energy systems\&nbsp;into the electricity grid. This paper describes a wrapper forecasting methodology for irradiance time series that combines mutual information and an\&nbsp;Extreme Learning Machine\&nbsp;(ELM), with application to short forecast horizons between 5-min and 3-h ahead. The method is referred to as Wrapper Mutual Information Methodology (WMIM). To evaluate the proposed approach, its performance is compared to that of three dimensionality reduction scenarios: full space (latest 50 variables), partial space (latest 5 variables), and the usual Principal Component Analysis (PCA). Based on measured irradiance data from two arid sites (Madina and Tamanrasset), the present results reveal that the reduction of the historical input space increases the forecasting performance of global solar radiation. In the case of Madina and forecast horizons from 5-min to 30-min ahead, the WMIM forecasts have a better coefficient of determination (R2\&nbsp;between 0.927 and 0.967) than those using the next best performing strategy, PCA (R2\&nbsp;between 0.921 and 0.959). The Mean Absolute Percentage Error (MAP) is also better for WMIM [7.4{\textendash}10.77] than for PCA [8.4{\textendash}11.55]. In the case of Tamanrasset and forecasting horizons from 1-h to 3-h ahead, the WMIM forecasts have an R2\&nbsp;between 0.883 and 0.957, slightly better than the next best performing strategy (PCA) (R2\&nbsp;between 0.873 and 0.910). The Normalized\&nbsp;Mean Squared Error\&nbsp;(NMSE) is similarly better for WMIM [0.048{\textendash}0.128] than for PCA [0.105{\textendash}0.130]. It is also found that the ELM technique is considerably more computationally efficient than the more conventional Multi Layer\&nbsp;Perceptron\&nbsp;(MLP). It is concluded that the proposed mutual information-based variable selection method has the potential to outperform various other proposed techniques in terms of prediction performance.

},
	url = {https://www.sciencedirect.com/science/article/abs/pii/S0960148118313028},
	author = {Bouzgou, Hassen and Gueymard,Christian A}
}
@article {7164,
	title = {Multimodel ensemble approach for hourly global solar irradiation forecasting},
	journal = {The European Physical Journal Plus },
	volume = {134},
	year = {2019},
	abstract = {
	This contribution proposes a novel solar time series forecasting approach based on multimodel statistical ensembles to predict global horizontal irradiance (GHI) in short-term horizons (up to 1 hour ahead). The goal of the proposed methodology is to exploit the diversity of a set of dissimilar predictors with the purpose of increasing the accuracy of the forecasting process. The performance of a specific multimodel ensemble forecast showing an improved forecast skill is demonstrated and compared to a variety of individual single models. The proposed system can be applied in two distinct ways. The first one incorporates the forecasts acquired from the different forecasting models constituting the ensemble via a linear combination (combination-based). The other one consists of a novel methodology that delivers as output the forecast provided by the specific model (involved in the ensemble) that delivers the maximum precision in the zone of the variable space connected with the considered GHI time series (selection-based approach). This forecasting model is issued from an appropriate division of the variable space. The efficiency of the proposed methodology has been evaluated using high-quality measurements carried out at 1min intervals at four radiometric sites representing widely different radiative climates (Arid, Temperate, Tropical, and High Albedo). The obtained results emphasize that, at all sites, the proposed multi-model ensemble is able to increase the accuracy of the forecasting process using the different combination approaches, with a significant performance improvement when using the classification strategy.

},
	url = {https://link.springer.com/article/10.1140/epjp/i2019-12966-5},
	author = {Zemouri, Nahed and Bouzgou, Hassen and Gueymard, Christian A.}
}
@article {7162,
	title = {A portable breast cancer detection system based on smartphone with infrared camera},
	journal = {Vibroengineering PROCEDIA},
	volume = {26},
	year = {2019},
	pages = {57-63},
	abstract = {
	The traditional detection methods have the disadvantages of radiation exposure, high cost, and shortage of medical resources, which restrict the popularity of early screening for breast cancer. An inexpensive, accessible, and friendly way to detect is urgently needed. Infrared thermography, an emerging means to breast cancer detection, is extremely sensitive to tissue abnormalities caused by inflammation and vascular proliferation. In this work, combined with the temperature and texture features, we designed a breast cancer detection system based on smart phone with infrared camera, achieving the accuracy of 99.21\&nbsp;\% with the k-Nearest Neighbor classifier. We compared the diagnostic results of the low resolution, originated from the phone camera, with the high resolution of the conventional infrared camera. It was found that the accuracy and sensitivity decreased slightly, but both of them were over than 98\&nbsp;\%. The proposed breast cancer detection system not only has excellent performance but also dramatically saves the detection cost, and its prospect will be fascinating.

},
	url = {https://www.extrica.com/article/20978},
	author = {Ma, Jian and Shang, Pengchao and Lu, Chen and Meraghni, Safa and Benaggoune, Khaled and Zuluaga, Juan and Zerhouni, Noureddine and Devalland, Christine and Al-Masry, Zeina}
}
@article {7161,
	title = {Distributed Control And Monitoring Based On Cooperating Agents: An Application For Manufacturing System},
	journal = {Journal of New Technology and Materials},
	volume = {8},
	number = {3},
	year = {2019},
	pages = {25-28},
	abstract = {
	Control and monitoring of current manufacturing systems has become increasingly a complex problem. To expand their reliability we propose in this work a distributed approach for control and monitoring using the Multi Agents Systems. This approach is based on the decomposition of the complex system into subsystems easier to manage, and the design of several agents each one on these agents is dedicated to a particular task. A software application supporting this approach is developed for the cement clinker system of the Ain Touta cement plant. It is chosen to test the approach on real data. The results show that our distributed approach produces better results than the centralized health monitoring and control.

},
	url = {https://www.asjp.cerist.dz/en/article/85300},
	author = {Ouahiba Chouhal and Rafik Mahdaoui and Leila-Hayet Mouss}
}
@article {7160,
	title = {SOA-based distributed fault prognostic and diagnosis framework: an application for preheater cement cyclones},
	journal = {International Journal of Internet Manufacturing and Services},
	volume = {8},
	number = {1},
	year = {2019},
	abstract = {
	Complex engineering manufacturing systems require efficient online fault diagnosis methodologies to improve safety and reduce maintenance costs. Traditionally, diagnosis and prognosis approaches are centralised, but these solutions are difficult to implement on distributed systems; whereas a distributed approach of multiple diagnosis and prognosis agents can offer a solution. Also, controlling process plant from a remote location has several benefits including the ability to track and to assist in solving a problem that might arise. This paper presents a distributed and over prognosis and diagnosis approach for physical systems basing on multi agent system and service-oriented architecture. Specifics prognostic and diagnostic procedures and key modules of the architecture for web service-based distributed fault prognostic and diagnosis framework are detailed and developed for the preheater cement cyclones in the workshop of SCIMAT clinker. The experimental case study, reported in the present paper, shows encouraging results and fosters industrial technology transfer.

},
	url = {https://www.inderscienceonline.com/doi/abs/10.1504/IJIMS.2021.114539},
	author = {Ouahiba Chouhal and Rafik Mahdaoui and Leila-Hayet Mouss}
}
@article {7159,
	title = {A Temporal Neuro-Fuzzy System for Estimating Remaining Useful Life in Preheater Cement Cyclones},
	journal = {International Journal of Reliability, Quality and Safety Engineering},
	volume = {26},
	number = {3},
	year = {2019},
	abstract = {
	Fault prognosis in industrial plants is a complex problem, and time is an important factor for the resolution of this problem. The main indicator for the task of fault prognosis is the estimate of remaining useful life (RUL), which essentially depends on the predicted time to failure. This paper introduces a temporal neuro-fuzzy system (TNFS) for performing the fault prognosis task and exactly estimating the RUL of preheater cyclones in a cement plant. The main component of the TNFS is a set of temporal fuzzy rules that have been chosen for their ability to explain the behavior of the entire system, the components{\textquoteright} degradation, and the RUL estimation. The benefit of introducing time in the structure of fuzzy rules is that a local memory of the TNFS is created to capture the dynamics of the prognostic task. More precisely, the paper emphasizes improving the performance of TNFSs for prediction. The RUL estimation process is broken down into four generic processes: building a predictive model, selecting the most critical parameters, training the TNFS, and predicting RUL through the generated temporal fuzzy rules. Finally, the performance of the proposed TNFS is evaluated using a real preheater cement cyclone dataset. The results show that our TNFS produces better results than classical neuro-fuzzy systems and neural networks.

},
	url = {https://www.worldscientific.com/doi/10.1142/S0218539319500128},
	author = {Rafik Mahdaoui and Leila-Hayet Mouss and Haboussi, Amar and Ouahiba Chouhal and Haouassi, Hichem and Maarouk,Toufik-Messoud}
}
@mastersthesis {6176,
	title = {Optimisation des fonctions int{\'e}gr{\'e}es de production, de stockage et de distribution dans une chaine logistique},
	year = {2019},
	author = {Senoussi, Ahmed}
}
@mastersthesis {6143,
	title = {Aide {\`a} la d{\'e}cision pour am{\'e}liorer la performance d\&rsquo;une entreprise alg{\'e}rienne},
	year = {2019},
	author = {Zeghoud  Hichad}
}
@mastersthesis {6142,
	title = {Mod{\'e}lisation et optimisation d\&rsquo;une chaine d\&rsquo;approvisionnement. Application dans une entreprise algerienne},
	year = {2019},
	author = {Bouali Mouna}
}
@mastersthesis {6141,
	title = {Mise en {\oe}uvre d\&rsquo;une nouvelle approche pour le d{\'e}veloppement des produits nouveaux},
	year = {2019},
	author = {Khezzar Houria}
}
@mastersthesis {6140,
	title = {Pilotage des flux par la m{\'e}thode DDMRP},
	year = {2019},
	author = {Beweghli Nacereddine}
}
@mastersthesis {6139,
	title = {Probl{\`e}me d\&$\#$39;int{\'e}gration  production et tarification dynamique},
	year = {2019},
	author = {Friras Aboubaker-Essedik}
}
@mastersthesis {6138,
	title = {Analyse d\&$\#$39;un syst{\`e}me industriel (aspect risque) par la methode MOZAR},
	year = {2019},
	author = {Rebbache  Abderaouf}
}
@mastersthesis {6137,
	title = {Utilisation des nalgorithmess g{\'e}n{\'e}tiaque pour l\&$\#$39;analyse d\&$\#$39;un probleme d\&$\#$39;ordonnancement continu a contraintes de ressources},
	year = {2019},
	author = {Mokrane Abderaouf}
}
@mastersthesis {6136,
	title = {Evaluation des co{\^u}ts du risque dans un syst{\`e}me de production},
	year = {2019},
	author = {Oulmane Samiha}
}
@mastersthesis {6135,
	title = {Evaluation de l\&$\#$39;incertitude dans un syst{\`e}me de production approche simulation},
	year = {2019}
}
@mastersthesis {6134,
	title = {Mod{\'e}lisation d\&$\#$39;entreprise par la m{\'e}thode 4EM},
	year = {2019},
	author = {Bentarssia Harroun}
}
@mastersthesis {6133,
	title = {Une nouvelle approche multicrit{\`e}res bas{\'e}e sur les \&laquo; rough sets et rough numbers \&raquo;},
	year = {2019},
	author = {Merdj Lamia}
}
@mastersthesis {6132,
	title = {Effets de la normalisation sur les choix dans les m{\'e}thodes multicrit{\`e}res avec {\'e}tude de cas},
	year = {2019},
	author = {Djafri Wahiba}
}
@mastersthesis {6131,
	title = {Prise de d{\'e}cision dans la location de mat{\'e}riel sous un partage d\&rsquo;information impr{\'e}cis},
	year = {2019},
	author = {Boukhabelat Rahma}
}
@mastersthesis {6130,
	title = {Probl{\`e}me de lot-sizing avec accumulation de retards, sous-traitance et planification de la maintenance pr{\'e}ventive},
	year = {2019},
	author = {Sekkiou Abdelghani}
}
@mastersthesis {6129,
	title = {Optimisation d\&$\#$39;un flux d\&$\#$39;op{\'e}ration dans un atelier sous contrainte de r{\'e}glage},
	year = {2019},
	author = {Adjouli Sofiane}
}
@mastersthesis {6128,
	title = {Optimisation d\&$\#$39;un Flow Shop Hybride},
	year = {2019},
	author = {Bedda Aziz}
}
@mastersthesis {6127,
	title = {Mise en {\oe}uvre d\&$\#$39;une nouvelle approche pour le d{\'e}veloppement des produits nouveaux},
	year = {2019},
	author = {Khezzar Houria}
}
@mastersthesis {6126,
	title = {Aide {\`a} la d{\'e}cision pour am{\'e}liorer la performance d\&$\#$39;une entreprise alg{\'e}rienne},
	year = {2019},
	author = {Zeghoud  Hichad}
}
@mastersthesis {6000,
	title = {{\'E}tude cin{\'e}matique de la plate-forme de Stewart},
	year = {2019},
	author = {Chinar Walid}
}
@mastersthesis {5999,
	title = {Planification de la trajectoire d\&$\#$39;un bras manipulateur redondant},
	year = {2019},
	author = {Ziani Abdelhak}
}
@mastersthesis {5998,
	title = {Approche hybride pour l\&$\#$39;acquisition des connaissances},
	year = {2019},
	author = {Benzedira Khaoula}
}
@mastersthesis {5997,
	title = {Maintenance d\&$\#$39;un syst{\`e}me de production},
	year = {2019},
	author = {Bourenane Mouna}
}
@mastersthesis {5996,
	title = {Meta-heuristique pour l\&$\#$39;optimisation des syst{\`e}mes de fabrication cellulaires},
	year = {2019},
	author = {Messaoudene Sara}
}
@mastersthesis {5995,
	title = {Approche d\&$\#$39;optimisation pour le probl{\`e}me de la maintenance des syst{\`e}mes multicomposant},
	year = {2019},
	author = {Tebib Samira}
}
@mastersthesis {5994,
	title = {Ordonnancement sur Multi-lignes de production h{\'e}t{\'e}rog{\`e}nes},
	year = {2019},
	author = {Zudane Hassiba}
}
@mastersthesis {5993,
	title = {Application des techniques de datamining {\`a} un syst{\`e}me de production},
	year = {2019},
	author = {Yousfi Fadia}
}
@mastersthesis {5992,
	title = {Conception d\&$\#$39;un didactitiel (courseware) pour une usine apprenante},
	year = {2019},
	author = {Aghamaeyni Abdoulmadjid}
}
@mastersthesis {5991,
	title = {D{\'e}veloppement d\&rsquo;une plateforme scientom{\'e}trique pour le management des connaissances et le capital intellectuel},
	year = {2019},
	author = {Cherid Walid}
}
@mastersthesis {5910,
	title = {Etude des risques dans une chaine logistique hospitali{\`e}re par l\&rsquo;approche AMDEC  Option : Ing{\'e}nierie logistique},
	year = {2019},
	author = {Mokrani Abderaouf}
}
@mastersthesis {5909,
	title = {Aide {\`a} l\&rsquo;am{\'e}lioration des performances d\&rsquo;une chaine logistique d\&rsquo;un m{\'e}dicament par la d{\'e}tection des donn{\'e}es pertinentes des diff{\'e}rentes sources d\&rsquo;information},
	year = {2019},
	author = {Bezzeghli Naccereddine}
}
@mastersthesis {5908,
	title = {Machine Learning utilisant les SVM avec python pour la classification},
	year = {2019},
	author = {Touhar Djamel}
}
@mastersthesis {5907,
	title = {Analyse pr{\'e}dictive de fonctionnement de machine industrielles utilisant un outil de machine learning},
	year = {2019},
	author = {Bekhouche Hani}
}
@mastersthesis {5906,
	title = {Machine Learning utilisant les r{\'e}seaux de neurones avec python pour la classification},
	year = {2019},
	author = {Chenen Samir}
}
@mastersthesis {5905,
	title = {Classification supervis{\'e}e des commandes vocales par la technique des k plus proches voisins},
	year = {2019},
	author = {Mostefaoui Djamel Eddine}
}
@mastersthesis {5904,
	title = {Application de la technique des machines {\`a} vecteur de support pour la classification},
	year = {2019},
	author = {Bouzid Brahim}
}
@mastersthesis {5903,
	title = {Reconnaissance automatique des commandes par r{\'e}seaux de neurones artificiels},
	year = {2019},
	author = {Bezzeghli Chems Eddine}
}
@mastersthesis {5902,
	title = {D{\'e}veloppement d\&rsquo;une application interactive pour la construction d\&rsquo;un ordonnancement pr{\'e}visionnel},
	year = {2019},
	author = {Benhouria Hocine}
}
@mastersthesis {5901,
	title = {D{\'e}veloppement d\&rsquo;une application interactive pour la construction d\&rsquo;un ordonnancement pr{\'e}visionnel},
	year = {2019},
	author = {Aouef Hanane}
}
@mastersthesis {5900,
	title = {Etude de r{\^o}le des signaux faibles sur la reconfiguration des Processus de la cha{\^\i}ne logistique: les grandes surfaces de distribution},
	year = {2019},
	author = {Bouchouereb  Ibrahim}
}
@mastersthesis {5899,
	title = {Aide {\`a} l\&rsquo;am{\'e}lioration des performances d\&rsquo;une chaine logistique d\&rsquo;un m{\'e}dicament par la d{\'e}tection des donn{\'e}es pertinentes des diff{\'e}rentes sources d\&rsquo;information},
	year = {2019},
	author = {Bezzeghli Naccereddine}
}
@mastersthesis {5898,
	title = {D{\'e}termination des la disponibilite et la maintenabilite par approche statistique Cas de l\&$\#$39;ONA},
	year = {2019},
	author = {Haddar Faouzi}
}
@mastersthesis {5897,
	title = {Mise en place de MSP dans un syst{\`e}me de production},
	year = {2019},
	author = {Faroudj Khaoula}
}
@mastersthesis {5896,
	title = {Approche hybride pour l\&$\#$39;acquisition des connaissances},
	year = {2019},
	author = {Benssedira Khaoula}
}
@mastersthesis {5895,
	title = {Diagnostic et exploitation des connaissances des syst{\`e}mes tol{\'e}rants aux fautes},
	year = {2019},
	author = {Djebbar Omar}
}
@mastersthesis {5894,
	title = {Reconnaissance floue des formes pour le diagnostic d\&$\#$39;un syst{\`e}me industriel},
	year = {2019},
	author = {Boufedda Yahia}
}
@mastersthesis {5893,
	title = {Application d\&$\#$39;une technique cryptographique pour la s{\'e}curit{\'e} des syst{\`e}mes d\&$\#$39;information},
	year = {2019},
	author = {Saoudi Achraf Oussama}
}
@mastersthesis {5892,
	title = {Utilisation des capteurs sans fil bas{\'e}s sut les tags RFID pour la tracabilit{\'e} en aval},
	year = {2019},
	author = {Chalabi Lakhdar}
}
@mastersthesis {5891,
	title = {Simulation de la localisation en temps r{\'e}el (RTLS) dans une usine intelligente},
	year = {2019},
	author = {Benharchache Rania}
}
@mastersthesis {5890,
	title = {D{\'e}veloppement d\&$\#$39;un logiciel p{\'e}dagogique en PHP sous la plateforme Moodle},
	year = {2019},
	author = {Assas Said}
}
@mastersthesis {5889,
	title = {D{\'e}veloppement d\&$\#$39;un logiciel de gestion de laboratoire d\&$\#$39;analyses m{\'e}dicales en VBA},
	year = {2019},
	author = {Zeani Abderazak}
}
@mastersthesis {5888,
	title = {Exploitation d\&rsquo;un syst{\`e}me de contr{\^o}le distribu{\'e} \&laquo; DCS : Distributed Control System \&raquo; pour la r{\'e}alisation d\&rsquo;un syst{\`e}me de T{\'e}l{\'e}-contr{\^o}le SCADA (Application pour un champ p{\'e}trolier)},
	year = {2019},
	author = {Boughrira  Aimene}
}
@mastersthesis {5887,
	title = {Etude comparative des syst{\`e}mes de contr{\^o}le distribu{\'e} \&laquo; DCS : Distributed Control System \&raquo; et leur mise {\`a} niveau (Application pour le contr{\^o}le des installations p{\'e}troli{\`e}res) \&raquo;},
	year = {2019},
	author = {Belayat Souleyman}
}
@mastersthesis {5886,
	title = {Conception d\&rsquo;un kit d\&rsquo;essai pour syst{\`e}me de supervision SCADA en r{\'e}seau WirelessHART},
	year = {2019},
	author = {Belkhiri Kamel}
}
@mastersthesis {5838,
	title = {Contribution {\`a} la surveillance des syst{\`e}mes de production par les syst{\`e}mes Multi-Agents Collectifs},
	year = {2019},
	author = {Chouhal Ouahiba}
}
@mastersthesis {5837,
	title = {Vers le pronostic des systemes de productions},
	year = {2019},
	author = {Mahdaoui Rafik}
}
@mastersthesis {5836,
	title = {De l\&rsquo;Intelligence Artificielle vers le Machine Learning pour la Supervision d\&rsquo;un Syst{\`e}me de Production Industriel},
	year = {2019},
	author = {Zermane Hanane}
}
@mastersthesis {5827,
	title = {Un syst{\`e}me de reconnaissance de formes base sur une approche multi-classifieurs},
	year = {2019},
	author = {Derdour Khadidja}
}
@mastersthesis {5762,
	title = {Obstacle Avoidance in a Programmable Path based Mobile Robot Control. \&ndash;Distance Measurement, and path replanning},
	year = {2019},
	author = {Merazga Chaima}
}
@mastersthesis {5761,
	title = {Commande de la roue motrice d\&rsquo;un robot mobile. \&ndash; Acquisition pr{\'e}cise, en vue de l\&$\#$39;Identification et R{\'e}gulation, de la vitesse de rotation},
	year = {2019},
	author = {Litim Choua{\"\i}b}
}
@mastersthesis {5760,
	title = {Analyse pr{\'e}dictive des pannes d\&rsquo;un turbor{\'e}acteur utilisant RapidMiner},
	year = {2019},
	author = {Bekkouche Hani}
}
@mastersthesis {5759,
	title = {Classification des alarmes d\&rsquo;un broyeur cru utilisant les RNA},
	year = {2019},
	author = {Chenen Samir}
}
@mastersthesis {5758,
	title = { Supervision system control based on SVM classification and regression},
	year = {2019},
	author = {Touahar Djamel}
}
@proceedings {5207,
	title = {Optimisation de la durabilit{\'e} d\&rsquo;un syst{\`e}me de Production hybride manufacturing/remanufacturing dans la chaine logistique {\`a} boucle ferm{\'e}e},
	journal = {JD{\textquoteright}2019 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2019},
	author = {Kadri M}
}
@proceedings {5206,
	title = {Ordonnancement d\&rsquo;un Syst{\`e}me de production pour une Gestion Optimale d\&rsquo;Energie},
	journal = {JD{\textquoteright}2019 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2019},
	author = {Bouakkaz A}
}
@proceedings {5205,
	title = {Contribution {\`a} l\&rsquo;am{\'e}lioration de mesure de la performance de la chaine logistique d\&rsquo;un syst{\`e}me de production complexe par une maitrise conjointe du lean sigma et la th{\'e}orie des contraintes},
	journal = {JD{\textquoteright}2019 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2019},
	author = {Bouzidi H}
}
@proceedings {5204,
	title = {Mod{\`e}les int{\'e}gr{\'e}s de production, de sous-traitance, de qualit{\'e} et de maintenance dans une cha{\^\i}ne logistique en boucle ferm{\'e}e},
	journal = {JD{\textquoteright}2019 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2019},
	author = {Gacem A}
}
@proceedings {5203,
	title = {Am{\'e}lioration du DDMRP (Demand Driven MRP)},
	journal = {JD{\textquoteright}2019 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2019},
	author = {Benchadi Y}
}
@proceedings {5202,
	title = {Gestion des approvisionnements et des {\'e}changes de produits {\'e}quivalents dans les r{\'e}seaux logistiques multi niveau : Coop{\'e}ration plusieurs entreprises},
	journal = {JD{\textquoteright}2019 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2019},
	author = {Benfriha L}
}
@proceedings {5200,
	title = {Contribution {\`a} la Pr{\'e}vision a Base d\&rsquo;Analyse Stochastique Multicrit{\`e}re Participative, des Performances d\&rsquo;un Syst{\`e}me de production Industriel},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2019},
	author = {Zeghdani S}
}
@proceedings {5199,
	title = {Techniques d\&rsquo;Am{\'e}lioration de la Tra{\c c}abilit{\'e} pour l\&rsquo;Optimisation d\&rsquo;une Cha{\^\i}ne Logistique},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2019},
	author = {Smaili Yamina}
}
@proceedings {5198,
	title = {Contribution {\`a} l\&rsquo;{\'e}valuation fonctionnelle des syst{\`e}mes industriels pour la maitrise des risques},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2019},
	author = {Bouhidel lynda}
}
@proceedings {5197,
	title = {Proposition d\&rsquo;un syst{\`e}me de tra{\c c}abilit{\'e} et location {\`a} l\&rsquo;aide des r{\'e}seaux sans fils},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2019},
	author = {Kadri M}
}
@article {5156,
	title = {An integrated framework using VSM, AHP and TOPSIS for simplifying the sustainability improvement process in a complex manufacturing process, ISSN 1726-0531},
	journal = {Journal of Engineering Design and Technology},
	year = {2019},
	abstract = {Purpose The purpose of this paper is to propose an integrated approach for assessing the sustainability of production and simplifying the improvement tasks in complex manufacturing processes. Design/methodology/approach The proposed approach has been investigated the integration of value stream mapping (VSM), analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS). VSM is used as a basic structure for assessing and improving the sustainability of the manufacturing process. AHP is used for weighting the sustainability indicators and TOPSIS for prioritizing the operations of a manufacturing process regarding the improvement side. Findings The results carried out from this study help the managers{\textquoteright} staff in organizing the improvement phase in the complex manufacturing processes through computing the importance degree of each indicator and determining the most influential operations on the production. Research limitations/implications The major limitations of this paper are that one case study was considered. In addition, to an average set of sustainability indicators that have been treated. Originality/value The novelty of this research is expressed by the development of an extended VSM in complex manufacturing processes. In addition, the proposed approach contributes with a new improvement strategy through integrating the multi-criteria decision approaches with VSM method to solve the complexity of the improvement process from sustainability viewpoints.},
	url = {https://www.researchgate.net/publication/335614660_An_integrated_framework_using_VSM_AHP_and_TOPSIS_for_simplifying_the_sustainability_improvement_process_in_a_complex_manufacturing_process},
	author = {Soltani Mohyiddine and Aouag Hichem and Mouss Mohamed Djamel}
}
@article {5153,
	title = {Optimization of single outsourcer\&ndash;single subcontractor outsourcing relationship under reliability and maintenance constraints, ISSN / e-ISSN  1735-5702  / 2251-712X},
	journal = {Journal of Industrial Engineering International volume },
	volume = {Vol 15},
	number = {Issue 3},
	year = {2019},
	pages = { 395{\textendash}409},
	abstract = {In this paper, we focus on outsourcing activities optimization problem in single period setting. In some situations, capacity planning or outsourcing is a one-time event and can be modeled as a single period problem. The aim of this research is to balance the trade-off between two echelons of a supply chain consisting of a single outsourcer and a single subcontractor. Each part is composed of a failure-prone single machine that produces one product type to satisfy market requirements. The outsourcer{\textquoteright}s manufacturing system is not able to satisfy the demand; in this case, outsourcing is allowed to recover the lack of capacity. We consider that the subcontractor can satisfy the demands of strategic clients and rent his machine for the outsourcer under a win{\textendash}win partnership contract. We assume that the hazard failure rate depends on time and the adopted manufacture rate. When unforeseen failures occur, minimal repairs are implemented. Overhaul can be performed to reduce the degradation effects. Hence, we develop a mathematical model to define a profitability interval so that both parties of supply chain can be considered as winners. We seek to determine the contract parameters that suit both parties (duration, start and end dates, the production and outsourcing rates). Then, we develop an exact algorithm to solve the problem of single period optimization, which offers a better execution time through a series of test problems. Finally, we consider a sensitivity analysis based on outsourcing parameters (cost, periodicities, etc) to analyze their effects on partial costs and individual profit of each part, as well as the total profit generated by the system.},
	url = {https://link.springer.com/article/10.1007/s40092-019-0307-9},
	author = {Haoues Mohammed and Dahane Mohammed and Mouss Nadia Kinza}
}
@proceedings {5141,
	title = {Proposal of an Automatic Single Document Text Summarization},
	journal = {International Conference on Management, Economics \& Social Science},
	year = {2019},
	url = {http://researchfora.com/Conference2019/UK/2/ICMESS/},
	author = {Zerari Naima and Aitouche Samia}
}
@article {5130,
	title = {Supervision of an Industrial Process using Artificial Intelligence, ISSN / e-ISSN  2347-6982 / 2349-204X},
	journal = {International Journal of Industrial Electronics and Electrical Engineering},
	volume = {Vol 7},
	number = {Issue 6},
	year = {2019},
	author = {Zermane Hanane and Kasmi Rached and Aitoche Samia}
}
@proceedings {5122,
	title = {Supervision de Robot Manipulateur virtuel  par Les r{\'e}seaux de neurones et les r{\'e}seaux de Petri},
	journal = {JD{\textquoteright}2019 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2019},
	author = {Grieb Ouahab}
}
@proceedings {5121,
	title = {Optimisation des ressources d\&$\#$39;un syst{\`e}me de production avec prise en compte de l\&rsquo;interaction homme-machine},
	journal = {JD{\textquoteright}2019 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2019},
	author = {Bensakhria Mohamed}
}
@proceedings {5120,
	title = {Int{\'e}gration de Lean Green et Six Sigma},
	journal = {JD{\textquoteright}2019 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2019},
	author = {Soltani Mohyeddine}
}
@proceedings {5119,
	title = {Conception d\&rsquo;une mise {\`a} niveau mat{\'e}rielle et logicielle d\&rsquo;un syst{\`e}me                        de contr{\^o}le-commande (DCS : Distributed Control System)},
	journal = {JD{\textquoteright}2019 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2019},
	author = {Righi Amine}
}
@proceedings {5118,
	title = {Un Syst{\`e}me d\&rsquo;aide {\`a} la d{\'e}cision appliqu{\'e} au GPS pilot{\'e} par la voix humaine \&laquo; cas de distribution de produits \&raquo;},
	journal = {JD{\textquoteright}2019 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2019},
	author = {Guezouli Lahcene}
}
@proceedings {5117,
	title = {Contribution au Diagnostic des Pannes pour les Syst{\`e}mes Eoliens},
	journal = {JD{\textquoteright}2019 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2019},
	author = {Soussa Abdelkrim}
}
@proceedings {5116,
	title = {Mod{\'e}lisation et {\'e}valuation des performances des syst{\`e}mes logistiques},
	journal = {JD{\textquoteright}2019 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2019},
	author = {Arrar Nacereddine}
}
@proceedings {5115,
	title = {La politique de Suret{\'e} de Fonctionnement dans les syst{\`e}mes industriels : Application aux stations d\&rsquo;{\'e}puration dites STEP},
	journal = {JD{\textquoteright}2019 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2019},
	author = {NOUNE Med Said}
}
@proceedings {5114,
	title = {Dialogue Homme Machine appliqu{\'e} {\`a} la langue arabe standard (speech To speech STS):Application serveur vocal d\&rsquo;une banque},
	journal = {JD{\textquoteright}2019 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2019},
	author = {Menzer Hilal}
}
@proceedings {5113,
	title = {Implantation d\&rsquo;une GMAO dans un syst{\`e}me de production pour l\&rsquo;am{\'e}lioration de la performance de l\&rsquo;entreprise},
	journal = {JD{\textquoteright}2019 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2019},
	author = {Belhoul Haroun}
}
@proceedings {5112,
	title = {Contribution {\`a} l\&rsquo;utilisation des r{\'e}seaux d\&rsquo;achat Electroniques (e-sourcing) en vue de l\&rsquo;optimisation des structures d\&rsquo;approvisionnements de l\&rsquo;alg{\'e}rienne des textiles},
	journal = {JD{\textquoteright}2019 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2019},
	author = {AMEUR Zouina}
}
@proceedings {5111,
	title = {Approche de l\&rsquo;usine intelligente dans l\&rsquo;industrie 4.0, en utilisant le concept d\&rsquo;internet objets},
	journal = {JD{\textquoteright}2019 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2019},
	author = {Bouhafna Kheyreddine}
}
@proceedings {5083,
	title = {Enhancement of the industrial performances through Value Stream Mapping method: case study in an Algerian},
	journal = { ISTSID International symposium on Technology Sustainable Industry Development 25-26/02 Eloued},
	year = {2019},
	author = {Soltani Mohyeddine}
}
@proceedings {5072,
	title = {Proposal of an Automatic Single Document Text Summarization},
	journal = {43rd International Conference on Management, Economics \& Social Science ( ICMESS 2019 ) 18-19 Mars},
	year = {2019},
	url = {http://researchfora.com/Conference2019/UK/2/ICMESS/},
	author = {Zerari, Naima and Samia Aitouche and Hanane Zermane and Yaha, Asma}
}
@article {5053,
	title = {Enhancement of the competitiveness and the financial capability of a manufacturing process through a new Value Stream Mapping approach, ISSN / e-ISSN 1746-6474 / 1746-6482},
	journal = {International Journal of Productivity and Quality Management},
	volume = {1},
	number = {1},
	year = {2019},
	pages = {1},
	abstract = {The organisations having a futuristic look and aiming to impose their presence in the industrial field for a long possible term, are seeking for finding solutions linked to controlling their cash flow and assessing their competitiveness performances. Therefore, the purpose of this paper is to propose a new quality and cost value stream mapping for monitoring the costs consumption and assessing the competitiveness of a company. We use three key concepts namely life cycle costing for estimation of the most influential costs on the manufacturing process, the weighted DPMO and Sigma level for assessing the quality level and the competitiveness of the company. Finally, the data obtained are mapped using value stream mapping method for enabling the determination of dysfunctions in the cost and quality context.},
	url = {https://www.researchgate.net/publication/331309801_Enhancement_of_the_competitiveness_and_the_financial_capability_of_a_manufacturing_process_through_a_new_Value_Stream_Mapping_approach},
	author = {Soltani Mohyiddine and Aouag Hichem and Mouss Med Djamel}
}
@article {5052,
	title = {An integrated framework using VSM, AHP and TOPSIS for simplifying the sustainability improvement process in a complex manufacturing process, ISSN 1726-0531},
	journal = {Journal of Engineering, Design and Technology},
	volume = {Volume 17},
	number = { Issue 6},
	year = {2019},
	abstract = {Purpose The purpose of this paper is to propose an integrated approach for assessing the sustainability of production and simplifying the improvement tasks in complex manufacturing processes. Design/methodology/approach The proposed approach has been investigated the integration of value stream mapping (VSM), analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS). VSM is used as a basic structure for assessing and improving the sustainability of the manufacturing process. AHP is used for weighting the sustainability indicators and TOPSIS for prioritizing the operations of a manufacturing process regarding the improvement side. Findings The results carried out from this study help the managers{\textquoteright} staff in organizing the improvement phase in the complex manufacturing processes through computing the importance degree of each indicator and determining the most influential operations on the production. Research limitations/implications The major limitations of this paper are that one case study was considered. In addition, to an average set of sustainability indicators that have been treated. Originality/value The novelty of this research is expressed by the development of an extended VSM in complex manufacturing processes. In addition, the proposed approach contributes with a new improvement strategy through integrating the multi-criteria decision approaches with VSM method to solve the complexity of the improvement process from sustainability viewpoints.},
	url = {https://www.researchgate.net/publication/335614660_An_integrated_framework_using_VSM_AHP_and_TOPSIS_for_simplifying_the_sustainability_improvement_process_in_a_complex_manufacturing_process},
	author = {Mohyiddine Soltani and Aouag Hichem and Mouss Med Djamel}
}
@article {5050,
	title = {Bidirectional deep architecture for Arabic speech recognition,  e-ISSN  2299-1093},
	journal = {Open Computer Science},
	volume = {Volume 9},
	number = {Issue 1},
	year = {2019},
	pages = {92-102},
	abstract = {Nowadays, the real life constraints necessitatescontrolling modern machines using human interventionby means of sensorial organs. The voice is one of the humansenses that can control/monitor modern interfaces.In this context, Automatic Speech Recognition is principallyused to convert natural voice into computer text aswell as to perform an action based on the instructionsgiven by the human. In this paper, we propose a generalframework for Arabic speech recognition that uses LongShort-Term Memory (LSTM) and Neural Network (Multi-Layer Perceptron: MLP) classifier to cope with the nonuniformsequence length of the speech utterances issuedfromboth feature extraction techniques, (1)Mel FrequencyCepstral Coefficients MFCC (static and dynamic features),(2) the Filter Banks (FB) coefficients. The neural architecturecan recognize the isolated Arabic speech via classificationtechnique. The proposed system involves, first, extractingpertinent features from the natural speech signalusing MFCC (static and dynamic features) and FB. Next,the extracted features are padded in order to deal with thenon-uniformity of the sequences length. Then, a deep architecturerepresented by a recurrent LSTM or GRU (GatedRecurrent Unit) architectures are used to encode the sequencesofMFCC/FB features as a fixed size vector that willbe introduced to a Multi-Layer Perceptron network (MLP)to perform the classification (recognition). The proposedsystem is assessed using two different databases, the firstone concerns the spoken digit recognition where a comparisonwith other related works in the literature is performed,whereas the second one contains the spoken TVcommands. The obtained results show the superiority ofthe proposed approach.},
	url = {https://www.degruyter.com/view/journals/comp/9/1/article-p92.xml},
	author = {Zerari Naima and Abdelhamid Samir and Bouzgo Hassen and Raymond Christian}
}
@proceedings {5035,
	title = {Proposition d\&rsquo;un syst{\`e}me distribu{\'e} de diagnostic et pronostic bas{\'e} sur les services web et ELM},
	journal = {JD{\textquoteright}2019 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2019},
	author = {Berghout Tarek}
}
@proceedings {5034,
	title = {Mod{\'e}lisation et Optimisation des syst{\`e}mes renouvelables hybrides pour les sites autonomes},
	journal = {JD{\textquoteright}2019 2{\`e}me Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2019},
	author = {Zereg Heda}
}
@proceedings {5033,
	title = {Supervision et pilotage automatique d\&rsquo;un syst{\`e}me de production industriel dans le Cloud Computing utilisant Machine Learning},
	journal = {JD{\textquoteright}2019 2{\`e}me Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2019},
	author = {Meguelatti Abderahmene}
}
@proceedings {5032,
	title = {Elaboration d\&rsquo;un Module de Diagnostic sous Contraintes dans le cadre d\&rsquo;une Strat{\'e}gie de Commande Tol{\'e}rante aux D{\'e}fauts},
	journal = {JD{\textquoteright}2019 2{\`e}me Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2019},
	author = {Hadjidji Nadjiha}
}
@proceedings {5031,
	title = {Syst{\`e}me intelligent d\&$\#$39;aide {\`a} la d{\'e}cision pour la pr{\'e}diction et l\&$\#$39;optimisation des param{\`e}tres d\&$\#$39;un forage p{\'e}trolier},
	journal = {JD{\textquoteright}2019 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2019},
	author = {Rezki Djamil}
}
@proceedings {5030,
	title = {Une nouvelle approche pour la s{\'e}curit{\'e} des Syst{\`e}mes de Contr{\^o}le et d\&$\#$39;Acquisition de Donn{\'e}es SCADA},
	journal = {JD{\textquoteright}2019 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2019},
	author = {Guettafi Salah}
}
@proceedings {5029,
	title = {Conception d\&$\#$39;un syst{\`e}me d\&rsquo;aide {\`a} la maintenance collaborative bas{\'e}e sur la r{\'e}alit{\'e} mixte},
	journal = {JD{\textquoteright}2019 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2019},
	author = {Hamidene Rabie}
}
@proceedings {5028,
	title = {Contribution {\`a} la mise en place d\&rsquo;une solution distribu{\'e}e intelligente pour le choix d\&rsquo;une technique d\&rsquo;ordonnancement ad{\'e}quate},
	journal = {JD{\textquoteright}2019 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2019},
	author = {Abdessamed Ahmed Adnane}
}
@proceedings {5027,
	title = {Supervision et pilotage automatique d\&rsquo;un syst{\`e}me de production industriel dans le Cloud Computing utilisant Machine Learning},
	journal = {JD{\textquoteright}2019 2{\`e}me Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2019},
	author = {Meguelatti Abderahmene}
}
@proceedings {4966,
	title = {A New Approache on the trajectory planning of the robot for terminal spray},
	journal = {ICMM 2019 The  third edition of the International Conference of Mechanics and Materials},
	year = {2019},
	url = {http://univ-setif.dz},
	author = {Haboussi Ammar}
}
@proceedings {4965,
	title = {Supervision du syst{\`e}me de clink{\'e}risation par les systemes Immunitaires artificiels},
	journal = {ICMM 2019 The  third edition of the International Conference of Mechanics and Materials},
	year = {2019},
	url = {https://www.researchgate.net/publication/337210108_Supervision_Du_Systeme_De_Clinkerisation_De_La_Cimenterie_Par_Les_Systemes_Immunitaires_Artificiels},
	author = {Haboussi Ammar}
}
@proceedings {4956,
	title = {Proposal of an Automatic Single Document Text Summarization},
	journal = {ICMESS 2019  International Conference on Management, Economics \& Social Science,18 -19 March London United Kingdom},
	year = {2019},
	author = {Zerari Naima}
}
@proceedings {4955,
	title = {Supervision of an Industrial Process using Artificial Intelligence},
	journal = { ICSET 2019 International Conference on Science, Engineering \& Technology 18 -19 March London, United Kingdom},
	year = {2019},
	author = {Aitouche Samia}
}
@proceedings {4954,
	title = {
	Proposal of an Automatic Single Document Text Summarization 



	http://researchfora.com/Conference2019/UK/2/ICMESS/

},
	journal = {ICMESS 2019 43rd International Conference, 18-19 Mars London, Royaume unis},
	year = {2019},
	url = { http://researchfora.com/Conference2019/UK/2/ICMESS/},
	author = {Zerari Naima}
}
@proceedings {4953,
	title = {Type 2 Fuzzy logic approachto fault production in preheater cement Cyclone},
	journal = {IAM{\textquoteright}2019 2nd Conference on Informatic and Applied Mathematics 12-13 juin Guelma Algeria},
	year = {2019},
	author = {Chouhal Ouahiba}
}
@article {4906,
	title = {Bidirectional deep architecture for Arabic speech recognition.e,  e-ISSN  2299-1093},
	journal = { Open Computer Science},
	volume = {9},
	number = {1},
	year = {2019},
	pages = {pp. 92-102},
	abstract = {Nowadays, the real life constraints necessitates controlling modern machines using human intervention by means of sensorial organs. The voice is one of the human senses that can control/monitor modern interfaces. In this context, Automatic Speech Recognition is principally used to convert natural voice into computer text as well as to perform an action based on the instructions given by the human. In this paper, we propose a general framework for Arabic speech recognition that uses Long Short-Term Memory (LSTM) and Neural Network (Multi-Layer Perceptron: MLP) classifier to cope with the nonuniform sequence length of the speech utterances issued fromboth feature extraction techniques, (1)Mel Frequency Cepstral Coefficients MFCC (static and dynamic features), (2) the Filter Banks (FB) coefficients. The neural architecture can recognize the isolated Arabic speech via classification technique. The proposed system involves, first, extracting pertinent features from the natural speech signal using MFCC (static and dynamic features) and FB. Next, the extracted features are padded in order to deal with the non-uniformity of the sequences length. Then, a deep architecture represented by a recurrent LSTM or GRU (Gated Recurrent Unit) architectures are used to encode the sequences of MFCC/FB features as a fixed size vector that will be introduced to a Multi-Layer Perceptron network (MLP) to perform the classification (recognition). The proposed system is assessed using two different databases, the first one concerns the spoken digit recognition where a comparison with other related works in the literature is performed, whereas the second one contains the spoken TV commands. The obtained results show the superiority of the proposed approach.},
	url = {https://www.degruyter.com/view/j/comp.2019.9.issue-1/comp-2019-0004/comp-2019-0004.xml},
	author = {Zerari Naima and Abdelhamid Samir and Bouzgou Hassen and Raymond Christian}
}
@article {4905,
	title = {Supervision of an Industrial Process using Artificial Intelligence, ISSN / e-ISSN 2347-6982 / 2349-204X},
	journal = {International Journal of Industrial Electronics and Electrical Engineering},
	volume = {Vol 7},
	number = {Issue 6},
	year = {2019},
	abstract = {Process controls (basic as well as advanced) are implemented within the process control system, which may mean a distributed control system (DCS), programmable logic controller (PLC), and/or a supervisory control computer. DCSs and PLCs are typically industrially hardened and fault-tolerant. Supervisory control computers are often not hardened or faulttolerant, but they bring a higher level of computational capability to the control system, to host valuable, but not critical , advanced control applications. Advanced controls may reside in either the DCS or the supervisory computer, depending on the application. Basic controls reside in the DCS and its subsystems, including PLCs. Because we usually deal with real - world systems with real - world constraints (cost, computer resources, size, weight, power, heat dissipation, etc.), it is understood that the simplest method to accomplish a task is the one that should be used. Experts usually rely on common sense when they solve problems. They also use vague and ambiguous terms. Other experts have no difficulties with understanding and interpreting this statement because they have the background to hearing problems described like this. However, a knowledge engineer would have difficulties providing a computer with the same level of understanding. In a complex industrial process, how can we represent expert knowledge that uses vague and fuzzy terms in a computer to control it? In this context, the application is developed to control the pretreatment and pasteurization station of milk localized in Batna (Algeria) by adopting a control approach based on expert knowledge and fuzzy logic. Keywords - Intelligent Control; Data Acquisition; Industrial Process Control; Fuzzy Control},
	url = {http://www.iraj.in/journal/journal_file/journal_pdf/11-577-156602891045-50.pdf},
	author = {Hanane Zermane and Kasmi Rached and Samia Aitouche}
}
@article {4904,
	title = {Distributed control and monitoring based on cooperating agents: an application for manufacturing system, ISSN / e-ISSN 2170-161X  / 2488-2082},
	journal = {Journal of New Technology and Materials },
	volume = {Vol 8},
	number = {issue 3},
	year = {2019},
	pages = {pp. 25-28},
	abstract = {Control and monitoring of current manufacturing systems has become increasingly a complex problem. To expand their reliability we propose in this work a distributed approach for control and monitoring using the Multi Agents Systems. This approach is based on the decomposition of the complex system into subsystems easier to manage, and the design of several agents each one on these agents is dedicated to a particular task. A software application supporting this approach is developed for the cement clinker system of the Ain Touta cement plant. It is chosen to test the approach on real data. The results show that our distributed approach produces better results than the centralized health monitoring and control.},
	url = {https://www.asjp.cerist.dz/en/article/85300},
	author = {Chouhal Ouahiba and Mahdaoui Rafik and Mouss Leila Hayet}
}
@article {4903,
	title = {SOA-based distributed fault prognostic and diagnosis framework: An application for preheater cement cyclones, ISSN / e-ISSN 1751-6048 / 1751-6056},
	journal = {International Journal of Internet Manufacturing and Services},
	year = {2019},
	abstract = {Complex engineering manufacturing systems require efficient on-line fault diagnosis methodologies to improve safety and reduce maintenance costs. Traditionally, diagnosis and prognosis approaches are centralized, but these solutions are difficult to implement on increasingly prevalent distributed, networked embedded systems; whereas a distributed approach of multiple diagnosis and prognosis agents can offer a solution. Also, having the capability to control and observe process plant of a manufacturing system from a remote location has several benefits including the ability to track and to assist in solving a problem that might arise. This paper presents a distributed and over prognosis and diagnosis approach for physical systems basing on multi agent system and Service-Oriented Architecture. Specifics prognostic and diagnostic procedures and key modules of the architecture for Web Service-based Distributed Fault Prognostic and Diagnosis framework are detailed and developed for the preheater cement cyclones in the workshop of SCIMAT clinker. The experimental case study, reported in the present paper, shows encouraging results and fosters industrial technology transfer.},
	url = {https://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=ijims},
	author = {Chouhal Ouahiba and Mahdaoui Rafik and Mouss Leila Hayet}
}
@article {4901,
	title = {Fast short-term global solar irradiance forecasting with wrapper mutual information. Renewable Energy, ISSN 0960-1481},
	journal = {Renewable Energy},
	volume = {Volume 133},
	year = {2019},
	pages = {pp. 1055-1065},
	abstract = {
	
		Accurate solar irradiance forecasts are now key to successfully integrate the (variable) production from large solar energy systems into the electricity grid. This paper describes a wrapper forecasting methodology for irradiance time series that combines mutual information and an Extreme Learning Machine (ELM), with application to short forecast horizons between 5-min and 3-h ahead. The method is referred to as Wrapper Mutual Information Methodology (WMIM). To evaluate the proposed approach, its performance is compared to that of three dimensionality reduction scenarios: full space (latest 50 variables), partial space (latest 5 variables), and the usual Principal Component Analysis (PCA). Based on measured irradiance data from two arid sites (Madina and Tamanrasset), the present results reveal that the reduction of the historical input space increases the forecasting performance of global solar radiation. In the case of Madina and forecast horizons from 5-min to 30-min ahead, the WMIM forecasts have a better coefficient of determination (R2 between 0.927 and 0.967) than those using the next best performing strategy, PCA (R2 between 0.921 and 0.959). The Mean Absolute Percentage Error (MAP) is also better for WMIM [7.4{\textendash}10.77] than for PCA [8.4{\textendash}11.55]. In the case of Tamanrasset and forecasting horizons from 1-h to 3-h ahead, the WMIM forecasts have an R2 between 0.883 and 0.957, slightly better than the next best performing strategy (PCA) (R2 between 0.873 and 0.910). The Normalized Mean Squared Error (NMSE) is similarly better for WMIM [0.048{\textendash}0.128] than for PCA [0.105{\textendash}0.130]. It is also found that the ELM technique is considerably more computationally efficient than the more conventional Multi Layer Perceptron (MLP). It is concluded that the proposed mutual information-based variable selection method has the potential to outperform various other proposed techniques in terms of prediction performance.
	

},
	url = {https://www.sciencedirect.com/science/article/pii/S0960148118313028},
	author = {Bouzgou Hassen and Gueymard Christian}
}
@mastersthesis {6125,
	title = {Ordonnancement d\&$\#$39;une flux de fabrication de type job shop},
	year = {2018},
	author = {Aissaoui Abdelmalik}
}
@mastersthesis {6124,
	title = {Optimisation de d{\'e}lai de fabrication dans un atelier industriel},
	year = {2018},
	author = {Tazeghouisse Hicham}
}
@mastersthesis {6123,
	title = {Description des {\'e}tapes de la m{\'e}thode DDMRP},
	year = {2018},
	author = {Mimoune Nassima}
}
@mastersthesis {6122,
	title = {Probl{\`e}me de lot sizing avec maximisation du revenu},
	year = {2018},
	author = {Berkane Dounia}
}
@mastersthesis {6121,
	title = {Int{\'e}gration des flux de retour avec la planification de production},
	year = {2018},
	author = {Midni Hanane}
}
@mastersthesis {6120,
	title = {Probl{\`e}me de dimensionnement de lots {\`a} capacit{\'e} int{\'e}grant des strat{\'e}gies de maintenance et le retour des produits},
	year = {2018},
	author = {Arab Selma}
}
@mastersthesis {6119,
	title = {Optimisation de la sous-traitance d\&$\#$39;un mat{\'e}riel sous-un partage d\&$\#$39;informations impr{\'e}cises},
	year = {2018},
	author = {Charif Hamdi}
}
@mastersthesis {6118,
	title = {Optimisation  int{\'e}gr{\'e}e production sous-traitance maintenance qualit{\'e}},
	year = {2018},
	author = {Berghout Nedjma}
}
@mastersthesis {6117,
	title = {Programmation lin{\'e}aire en nombres entiers et propagation de contraintes pour le probl{\`e}me d\&rsquo;ordonnancement {\`a} contrainte {\'e}nerg{\'e}tique},
	year = {2018},
	author = {Derradji Samia}
}
@mastersthesis {6116,
	title = {L\&$\#$39;utilisation des R{\'e}seaux Bay{\'e}siens Dynamique pour la pr{\'e}diction de la RUL},
	year = {2018},
	author = {Ghennam Wassila}
}
@mastersthesis {6115,
	title = {Application d\&rsquo;une approche lean manufacturing bas{\'e}e sur le d{\'e}veloppement durable  et  la production verte},
	year = {2018},
	author = {Yahiaoui Yahia}
}
@mastersthesis {6114,
	title = {Mod{\'e}lisation et optimisation d\&rsquo;une chaine d\&rsquo;approvisionnement. Application dans une entreprise alg{\'e}rienne},
	year = {2018},
	author = {Bouali Mouna}
}
@mastersthesis {6113,
	title = {Aide {\`a} la d{\'e}cision pour la ma{\^\i}trise des commandes clients dans une situation incertaine},
	year = {2018},
	author = {Toulilit Hasna}
}
@mastersthesis {6112,
	title = {D{\'e}marche de r{\'e}duction des risques et incertitude dans un syst{\`e}me de production},
	year = {2018},
	author = {Merdaci Ahlam}
}
@mastersthesis {6111,
	title = {Evaluation des couts des risques dans un syst{\`e}me de production},
	year = {2018},
	author = {Oulmane Samiha}
}
@mastersthesis {6110,
	title = {Elaboration d\&rsquo;une plateforme informatique pour la m{\'e}thode d\&rsquo;aide a la d{\'e}cision multicrit{\`e}res \&laquo; WASPAS Floue \&raquo;},
	year = {2018},
	author = {Saadi Nesrine}
}
@mastersthesis {6109,
	title = {Elaboration d\&rsquo;une plateforme informatique pour la m{\'e}thode d\&rsquo;aide a la d{\'e}cision multicrit{\`e}res \&laquo; COPRAS Floue \&raquo;},
	year = {2018},
	author = {Ramdhane Amina}
}
@mastersthesis {6108,
	title = {Choix multicrit{\`e}res d\&rsquo;une zone pour implantation d\&rsquo;un complexe touristique},
	year = {2018},
	author = {Tebba Samia}
}
@mastersthesis {6107,
	title = {Hybridation ARAS/CRITIC Floue pour {\'e}valuer les actions avec sensibilit{\'e}},
	year = {2018},
	author = {Touatit Kenza}
}
@mastersthesis {6106,
	title = {Optimisation d\&rsquo;un flux industriel de type job shop par une m{\'e}thode approch{\'e}e},
	year = {2018},
	author = {Boultif Bahia and Meddour Hasna}
}
@mastersthesis {6105,
	title = {Probl{\`e}me de lot sizing avec Remanufacturing},
	year = {2018},
	author = {Belhissat  Halima}
}
@mastersthesis {6063,
	title = {D{\'e}veloppement d\&rsquo;un syst{\`e}me d\&rsquo;information et d\&rsquo;aide a la d{\'e}cision pour l\&rsquo;{\'e}laboration d\&rsquo;un programme de recyclage d\&rsquo;{\'e}quipements {\'e}lectroniques en Alg{\'e}rie : Cas des Micro-ordinateurs},
	year = {2018},
	author = {Hamouda Karima}
}
@mastersthesis {6010,
	title = {Application d\&rsquo;une approche lean manufacturing bas{\'e}e sur le d{\'e}veloppement durable  et  la production verte},
	year = {2018},
	author = {Yahiaoui Yahia}
}
@mastersthesis {6009,
	title = {Mod{\'e}lisation et optimisation d\&rsquo;une chaine d\&rsquo;approvisionnement. Application dans une entreprise alg{\'e}rienne},
	year = {2018},
	author = {Bouali Mouna}
}
@mastersthesis {6008,
	title = {Aide {\`a} la d{\'e}cision pour la ma{\^\i}trise des commandes clients dans une situation incertaine},
	year = {2018},
	author = {Toulilit Hasna}
}
@mastersthesis {5990,
	title = {RCM++ pour l\&rsquo;{\'e}laboration d\&rsquo;un plan de maitrise des risques pour un processus hospitalier \&laquo; pr{\'e}paration d\&rsquo;un moniteur de dialyse \&raquo;},
	year = {2018},
	author = {Boudibi Rania}
}
@mastersthesis {5989,
	title = {RCM++ pour l\&rsquo;{\'e}laboration d\&rsquo;un plan de maitrise des risques pour un processus hospitalier \&laquo; d{\'e}roulement d\&rsquo;une s{\'e}ance de dialyse \&raquo;},
	year = {2018},
	author = {Yahyaoui Teldja}
}
@mastersthesis {5988,
	title = {Elaboration d\&$\#$39;un tableau de bord connaissances},
	year = {2018},
	author = {Mebarki Amel}
}
@mastersthesis {5987,
	title = {Plateforme de Gestion {\'e}lectronique des documents},
	year = {2018},
	author = {Driass Walid}
}
@mastersthesis {5986,
	title = {Contribution {\`a} l\&$\#$39;optimisation des strat{\'e}gies de maintenance des syst{\`e}mes complexes sous contraintes de ressources},
	year = {2018},
	author = {Hamad Yamina}
}
@mastersthesis {5985,
	title = {Algorithme g{\'e}n{\'e}tique pour l\&rsquo;optimisation de la formation des cellules de production},
	year = {2018},
	author = {Day Nor-Elyakine}
}
@mastersthesis {5984,
	title = {Optimisation d\&rsquo;avance et retards des jobs d\&rsquo;un ordonnancement de production et de maintenance (Pr{\'e}ventive et corrective)},
	year = {2018},
	author = {Boudaouad Wassila}
}
@mastersthesis {5983,
	title = {Algorithme g{\'e}n{\'e}tique pour l\&rsquo;optimisation multi crit{\`e}re de l\&rsquo;ordonnancement dans l\&rsquo;industrie pharmaceutique},
	year = {2018},
	author = {Boudarn Mebarka}
}
@mastersthesis {5982,
	title = {programmation avec Matlab de la m{\'e}thode EDD sur un probl{\`e}me d\&rsquo;ordonnancement job shop},
	year = {2018},
	author = {Djaghrouri Zina}
}
@mastersthesis {5981,
	title = {Ordonnancement de la production Job shop avec ressources consommable},
	year = {2018},
	author = {Chatouf Sihem}
}
@mastersthesis {5980,
	title = {Data Mining pour l\&rsquo;acquisition des connaissances. Master en G{\'e}nie Industriel option \&laquo;Management Industriel\&raquo;},
	year = {2018},
	author = {Louafi Manel}
}
@mastersthesis {5979,
	title = {Supervision d\&rsquo;un syst{\`e}me industriel, Master en G{\'e}nie Industriel option \&laquo;G{\'e}nie Industriel\&raquo;},
	year = {2018},
	author = {Madjour Hassina}
}
@mastersthesis {5978,
	title = {Syst{\`e}me neuro-flou pour la surveillance industrielle},
	year = {2018},
	author = {Abbes Fouad}
}
@book {5953,
	title = {Le Management des Connaissances Pour les Syst{\`e}mes de Production, ISBN-10 : 3841674321 / ISBN-13 : 978-3841674326},
	year = {2018},
	pages = {336 pages},
	publisher = {Editions universitaires europ{\'e}ennes},
	organization = {Editions universitaires europ{\'e}ennes},
	abstract = {Le projet de notre ouvrage a consist{\'e} au d{\'e}veloppement d{\textquoteright}un syst{\`e}me de e_management de connaissances e-KnowSphere 1.0, utilisant la m{\'e}thode propos{\'e}e SKACICM, appliqu{\'e}e au syst{\`e}me industriel SCIMAT Batna, Alg{\'e}rie. Elle est le r{\'e}sultat d{\textquoteright}une hybridation de SKANDIA adapt{\'e}e (ASKANDIA), du mod{\`e}le CICM am{\'e}lior{\'e} (ACICM), de la veille {\'e}conomique et de l{\textquoteright}aide {\`a} la d{\'e}cision. e-KnowSphere 1.0 est une plateforme flexible permettant ; (1) le management de connaissances, de l{\textquoteright}innovation et de la propri{\'e}t{\'e} intellectuelle ; (2) le management des comp{\'e}tences ; la veille {\'e}conomique via un g{\'e}n{\'e}rateur de e-sondage universel (STL 1.0) ; l{\textquoteright}aide {\`a} la d{\'e}cision dans un milieu perturb{\'e} et tableaux de bord (SIAD SCIMAT 2.0). La plateforme a permis une instauration d{\textquoteright}une nouvelle culture ; la collaboration et le partage de connaissances, pour la sauvegarde des expertises et l{\textquoteright}am{\'e}lioration des performances.},
	url = {https://www.amazon.co.uk/Management-Connaissances-Pour-Syst\%C3\%A8mes-Production/dp/3841674321/ref=sr_1_1?qid=1560625623\&refinements=p_27\%3ASamia+Aitouche\&s=books\&sr=1-1},
	author = {Aitouche Samia and Mouss Med Djamel and Mouss Nadia Kinza}
}
@mastersthesis {5951,
	title = {D{\'e}veloppement d\&rsquo;une Approche hybride multi- crit{\`e}res bas{\'e}e clustering pour la r{\'e}solution d\&rsquo;un probl{\`e}me de distribution de produits},
	year = {2018},
	author = {Guezouli Lahcene}
}
@mastersthesis {5885,
	title = {Exploitation des indicateurs de Performances dans une entreprise cas Entreprise Biskria ciment},
	year = {2018},
	author = {Lanabi Ahmed}
}
@mastersthesis {5884,
	title = { Programmation de la m{\'e}thode du simplexe r{\'e}vis{\'e}},
	year = {2018},
	author = {Bouaicha Afaf}
}
@mastersthesis {5883,
	title = {{\'E}tude et programmation de la m{\'e}thode de calcul de flots maximum dans un r{\'e}seau routier constitu{\'e} de n villes: Utilisation de l\&$\#$39;algorithme de Ford-Fulkerson},
	year = {2018},
	author = {Zekegh Samah}
}
@mastersthesis {5882,
	title = {Exploitation et ma{\^\i}trise des indicateurs  de performance dans un syst{\`e}me industriel \&laquo; cas pratique \&raquo;},
	year = {2018},
	author = {Bouleghlem Ahmed Khalil et and Bechiri Abderrahmane}
}
@mastersthesis {5881,
	title = {Data Mining pour l\&rsquo;acquisition des connaissances},
	year = {2018},
	author = {Louafi Manel}
}
@mastersthesis {5880,
	title = {Supervision d\&rsquo;un syst{\`e}me industriel, Master en G{\'e}nie Industriel option \&laquo;G{\'e}nie Industriel},
	year = {2018},
	author = {Madjour Hassina}
}
@mastersthesis {5879,
	title = {Syst{\`e}me neuro-flou pour la surveillance industrielle,Master en G{\'e}nie Industriel option \&laquo;G{\'e}nie Industriel et Productique\&raquo;},
	year = {2018},
	author = {Abbas Fouad}
}
@mastersthesis {5878,
	title = {Proposition d\&rsquo;une d{\'e}marche de d{\'e}veloppement durable au service de la conception d\&rsquo;une chaine logistique \&laquo; Cas pratique \&raquo;},
	year = {2018},
	author = {Mounib Imen}
}
@mastersthesis {5877,
	title = {Organisation d\&rsquo;une chaine logistique hospitali{\`e}re \&laquo; Cas  pratique \&raquo; Master en G{\'e}nie Industriel option \&laquo;Ing{\'e}nierie Logistique\&raquo;},
	year = {2018},
	author = {Fertass Assia}
}
@mastersthesis {5876,
	title = {Etude comparative de syst{\`e}me de contr{\^o}le distribu{\'e} (DCS distributed  contr{\^o}l system et leur mise a niveau},
	year = {2018},
	author = {Boughazi Zine eddine}
}
@mastersthesis {5875,
	title = {Conduite d\&$\#$39;un syst{\`e}me de production dans une optique de management de qualit{\'e} Master en G{\'e}nie Industriel option \&laquo;Management Industriel\&raquo;},
	year = {2018},
	author = {Gouaref Aimane}
}
@mastersthesis {5874,
	title = {Am{\'e}lioration de la qualit{\'e} de produit {\`a} l\&$\#$39;aide de l\&$\#$39;IIOT Master en Electrom{\'e}canique option \&laquo;M{\'e}catronique\&raquo;},
	year = {2018},
	author = {Habchi Salah Eddin}
}
@mastersthesis {5873,
	title = {S{\'e}curit{\'e} des  ouvriers dans une usine intelligente},
	year = {2018},
	author = {Sersa Ibrahim}
}
@mastersthesis {5872,
	title = {la maintenance pr{\'e}dictive dans l\&rsquo;industrie},
	year = {2018},
	author = {Bentoumi Hamza}
}
@mastersthesis {5871,
	title = {Reconnaissance de la parole bas{\'e}e sur les techniques MFCC et DTW},
	year = {2018},
	author = {Dilmi Abdennour}
}
@mastersthesis {5824,
	title = { Contribution {\`a} la surveillance des syst{\`e}mes de production par les syst{\`e}mes Multi-Agents Collectifs},
	year = {2018},
	author = {Chouhal Ouahiba}
}
@mastersthesis {5823,
	title = { T{\'e}l{\'e}- contr{\^o}le et les techniques d\&$\#$39;IA pour un syst{\`e}me de conduite a distance},
	year = {2018},
	author = {Zermanr Hanane}
}
@mastersthesis {5757,
	title = {Diagnostic d\&$\#$39;une vanne d\&$\#$39;admission d\&$\#$39;air},
	year = {2018},
	author = {Aila Med Redha}
}
@mastersthesis {5756,
	title = {Multi-class SVM: Supervised Classification Technique for High-dimensional Data: Applications to production system monitoring},
	year = {2018},
	author = {Kherbache Abdelghani}
}
@mastersthesis {5755,
	title = { Extreme learning machines for faults classification and regression of production systems},
	year = {2018},
	author = {Louchene Housseim Eddine}
}
@mastersthesis {5754,
	title = {Performance of deep convolutional neural networks for the production systems monitoring},
	year = {2018},
	author = {Megaache Zineb}
}
@mastersthesis {5753,
	title = {Navigation d\&$\#$39;un robot mobile sous contraintes d\&$\#$39;obstacles},
	year = {2018},
	author = {Chelaghma Sara}
}
@mastersthesis {5752,
	title = {Impl{\'e}mentation d\&$\#$39;une application pour distribues les informations des probl{\`e}mes d\&$\#$39;ordonnancements},
	year = {2018},
	author = {Bounouara Sara}
}
@mastersthesis {5751,
	title = {Application de la technique d\&$\#$39;apprentissage approfondie \&quot;deep learning \&quot; au pronostic a base de donn{\'e}es},
	year = {2018},
	author = {Karrech Azzeddine}
}
@mastersthesis {5750,
	title = {R{\'e}diction de la vitesse de progression de forage p{\'e}trolier (ROP) {\`a} laide l\&$\#$39;algorithme des for{\^e}ts al{\'e}atoires distribu{\'e}},
	year = {2018},
	author = {Djenane Asma}
}
@mastersthesis {5749,
	title = { Supervision d\&rsquo;un refroidisseur d\&rsquo;un four rotatif d\&rsquo;une cimenterie utilisant PCS 7},
	year = {2018},
	author = {Bachiri Zakaria}
}
@mastersthesis {5748,
	title = {R{\'e}alisation d\&rsquo;un syst{\`e}me de maintenance pr{\'e}dictive utilisant RapideMiner},
	year = {2018},
	author = {Bouzidi Seif Eddine}
}
@mastersthesis {5747,
	title = {Utilisation des R{\'e}seaux de Neurones Artificiels pour la supervision d\&rsquo;un processus industriel},
	year = {2018},
	author = {Bensakhria Hocine}
}
@mastersthesis {5746,
	title = {Processus Gaussien, pour la pr{\'e}vision des stocks},
	year = {2018},
	author = {Zender Ilyes}
}
@mastersthesis {5745,
	title = {Contr{\^o}le de qualit{\'e} des produits alimentaires par r{\'e}seaux de neurones artificiels.},
	year = {2018},
	author = {Hafani Raoua}
}
@mastersthesis {5744,
	title = {Pr{\'e}diction de la consommation de l\&rsquo;{\'e}nergie {\'e}lectrique avec la technique Extr{\^e}me Learning Machines},
	year = {2018},
	author = {Chettouh Amina}
}
@book {5719,
	title = {An approach Multi-Agent Systems and emergence for maintenance, ISBN-10 : 6133995718 / ISBN-13 : 978-6133995710},
	year = {2018},
	pages = {144 pages},
	publisher = { LAP LAMBERT Academic Publishing},
	organization = { LAP LAMBERT Academic Publishing},
	abstract = {The main objective of our book is to propose hybrid approaches based on MAS on one side, and the exploitation of emergences methods such as Genetic Algorithms (GA) and the algorithms of Artificial Immune System (AIS) to better integrate systematic preventive maintenance policies in scheduling workshops. The objective is to minimize the time of executions during the course of scheduling. We use advanced operators; the random key for encoding, the selection of classification, the uniform crossover and single point mutation. Furthermore, we have defined a new affinity calculation procedure within the FSHMAIA approach. This procedure is based on the calculation of similarity ratio for each antibody. For this, we have proposed an algorithm based on four criterions for calculating the ratio of similarity. We also evaluated the adaptations of some well-known heuristics, including Johnson (m / 2, m / 2) NEHH, PCDT and PLDT, The originality of this work lies in the use of MAS with GA and AIS in the integration of systematic preventive maintenance policies in a hybrid flow shop scheduling.},
	url = {https://www.amazon.fr/Approach-Multi-Agent-Systems-Emergence-Maintenance/dp/6133995718},
	author = {Abdelhadi Adel and Kadri Ouahab}
}
@proceedings {5201,
	title = {Optimisation de la durabilit{\'e} d\&rsquo;un syst{\`e}me de Production hybride manufacturing/remanufacturing dans la chaine logistique {\`a} boucle ferm{\'e}e},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Mehanaoui R}
}
@proceedings {5196,
	title = {Ordonnancement d\&rsquo;un Syst{\`e}me de production pour une Gestion Optimale d\&rsquo;Energie},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Bouakkaz A}
}
@proceedings {5195,
	title = {Contribution {\`a} l\&rsquo;am{\'e}lioration de mesure de la performance de la chaine logistique d\&rsquo;un syst{\`e}me de production complexe par une maitrise conjointe du lean sigma et la th{\'e}orie des contraintes},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Bouzidi H}
}
@proceedings {5194,
	title = {Mod{\`e}les int{\'e}gr{\'e}s de production, de sous-traitance, de qualit{\'e} et de maintenance dans une cha{\^\i}ne logistique en boucle ferm{\'e}e},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Gacem A}
}
@proceedings {5193,
	title = {Am{\'e}lioration du DDMRP (Demand Driven MRP)},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Benchadi Y}
}
@proceedings {5192,
	title = {Gestion des approvisionnements et des {\'e}changes de produits {\'e}quivalents dans les r{\'e}seaux logistiques multi niveau : Coop{\'e}ration plusieurs entreprises},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Benfriha L}
}
@proceedings {5191,
	title = {L\&rsquo;apport des r{\'e}seaux d\&rsquo;automates stochastiques pour la mod{\'e}lisation et l\&rsquo;{\'e}valuation des performances des syst{\`e}mes de production a grand espace d\&rsquo;{\'e}tat},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Belferhi Amor}
}
@proceedings {5190,
	title = {Contribution {\`a} la Pr{\'e}vision a Base d\&rsquo;Analyse Stochastique Multicrit{\`e}re Participative, des Performances d\&rsquo;un Syst{\`e}me de production Industriel},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Bouhidel lynda}
}
@proceedings {5189,
	title = {Techniques d\&rsquo;Am{\'e}lioration de la Tra{\c c}abilit{\'e} pour l\&rsquo;Optimisation d\&rsquo;une Cha{\^\i}ne Logistique},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Smaili Yamina}
}
@proceedings {5188,
	title = {Contribution {\`a} l\&rsquo;{\'e}valuation fonctionnelle des syst{\`e}mes industriels pour la maitrise des risques},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Zeghdani S}
}
@proceedings {5187,
	title = {Proposition d\&rsquo;un syst{\`e}me de tra{\c c}abilit{\'e} et location {\`a} l\&rsquo;aide des r{\'e}seaux sans fils},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Mehanaoui R}
}
@proceedings {5183,
	title = {Lot-sizing avec optimisation des profits (\&quot;revenue management\&quot;).},
	journal = {JD{\textquoteright}2017 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Boutarfa Youcef}
}
@proceedings {5182,
	title = {Int{\'e}gration des probl{\`e}mes de lot Sizing et d\&rsquo;ordonnancement dans les ateliers type Flow Shop},
	journal = {JD{\textquoteright}2017 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Belbedj Farid}
}
@article {5155,
	title = {Enhancement of the competitiveness and the financial capability of a manufacturing process through a new Value Stream Mapping approach, ISSN / e-ISSN 1746-6474 / 1746-6482},
	journal = {International Journal of Productivity and Quality Management},
	year = {2018},
	abstract = {The organisations having a futuristic look and aiming to impose their presence in the industrial field for a long possible term, are seeking for finding solutions linked to controlling their cash flow and assessing their competitiveness performances. Therefore, the purpose of this paper is to propose a new quality and cost value stream mapping for monitoring the costs consumption and assessing the competitiveness of a company. We use three key concepts namely life cycle costing for estimation of the most influential costs on the manufacturing process, the weighted DPMO and Sigma level for assessing the quality level and the competitiveness of the company. Finally, the data obtained are mapped using value stream mapping method for enabling the determination of dysfunctions in the cost and quality context.},
	url = {https://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=ijpqm},
	author = {Soltani Mohyiddine and Aouag Hichem and Mouss Mohamed Djamel}
}
@article {5152,
	title = {Efficient Golden-Ball Algorithm Based Clustering to solve the Multi-Depot VRP With Time Windows, ISSN / e-ISSN  1942-3608 / 1942-3594},
	journal = {International Journal of Applied Evolutionary Computation (IJAEC)},
	volume = {Vol 9},
	number = {Issue 1},
	year = {2018},
	pages = {1-16},
	abstract = {In this article, the authors propose a decision support system which aims to optimize the classical Capacitated Vehicle Routing Problem by considering the existence of multiple available depots and a time window which must not be violated, that they call the Multi-Depot Vehicle Routing Problem with Time Window (MDVRPTW), and with respecting a set of criteria including: schedules requests from clients, the capacity of vehicles. The authors solve this problem by proposing a recently published technique based on soccer concepts, called Golden Ball (GB), with different solution representation from the original one, this technique was designed to solve combinatorial optimization problems, and by embedding a clustering algorithm. Computational results have shown that the approach produces acceptable quality solutions compared to the best previous results in similar problem in terms of generated solutions and processing time. Experimental results prove that the proposed Golden Ball algorithm is efficient and effective to solve the MDVRPTW problem.},
	url = {https://www.researchgate.net/publication/323466976_Efficient_Golden-Ball_Algorithm_Based_Clustering_to_solve_the_Multi-Depot_VRP_With_Time_Windows},
	author = {Guezouli Lahcene and Bensakhria Mohamed and Abdelhamid Samir}
}
@article {5151,
	title = {Multi-objective optimization using genetic algorithm based clustering for multi- depot heterogeneous fleet vehicle routing problem with time windows, ISSN / e-ISSN  1757-585 / 1757-5869},
	journal = {International Journal of Mathematics in Operational Research},
	volume = {Vol 13},
	number = {Issue 3},
	year = {2018},
	pages = {30-48},
	abstract = {Efficient routing and scheduling of vehicles has significant economic implications for both the public and private sectors. For this purpose, we propose in this study a decision support system which aims to optimise the classical capacitated vehicle routing problem by considering the existence of different vehicle types (with distinct capacities and costs) and multiple available depots, that we call the multi-depot heterogeneous vehicle routing problem with time window (MDHVRPTW) by respecting a set of criteria including: schedules requests from clients, the heterogeneous capacity of vehicles..., and we solve this problem by proposing a new scheme based on the application of the bio-inspired genetic algorithm heuristics and by embedding a clustering algorithm within a VRPTW optimisation frame work, that we will specify later. Computational experiments with the benchmark test instances confirm that our approach produces acceptable quality solutions compared with the best previous results in similar problems in terms of generated solutions and processing time. Experimental results prove that our proposed genetic algorithm is effective in solving the MDHVRPTW problem and hence has a great potential.},
	url = {https://www.researchgate.net/publication/327901926_Multi-objective_optimisation_using_genetic_algorithm_based_clustering_for_multi-depot_heterogeneous_fleet_vehicle_routing_problem_with_time_windows},
	author = {Guezouli Lahcene and Abdelhamid Samir}
}
@article {5146,
	title = {Heuristics Based on Genetic Algorithms for the Capacitated Multi Vehicle Production Distribution Problem, ISSN / e-ISSN 0305-0548 / 1873-765X},
	journal = {Computers \& Operations Research},
	volume = {Volume 96},
	year = {2018},
	pages = {108-119},
	abstract = {In this paper, we consider the integration of production, inventory and distribution decisions in a supply chain composed of one production facility supplying several retailers located in the same region. The supplier is far from the retailers compared to the distance between retailers. Thus, the traveling cost of each vehicle from the supplier to the region is assumed to be fixed and there is a fixed delivery (service) cost for each visited retailer. The objective is to minimize the sum of the costs at the production facility and at the retailers. The problem is more general than the One-Warehouse Multi-Retailer problem and is a special case of the Production Routing Problem. Five heuristics based on a Genetic Algorithm are proposed to solve the problem. In particular, three of them include the resolution of a Mixed Integer Program as subproblem to generate new individuals in the population. The results show that the heuristics can find optimal solutions for small and medium size instances. On large instances, the gaps obtained by the heuristics in less than 300\&nbsp;s are better than the ones obtained by a standard solver in two hours.},
	url = {https://www.sciencedirect.com/science/article/abs/pii/S0305054818301011},
	author = {Senoussi Ahmed and Dauz{\`e}re-P{\'e}r{\`e}s St{\'e}phane and Brahimi Nadjib and Penz Bernard and Moussa Nadia Kinza}
}
@proceedings {5144,
	title = {Efficient Approach for Parallel Machine Scheduling Problem},
	journal = {International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA)},
	year = {2018},
	author = {Hadri Abdelkader}
}
@proceedings {5143,
	title = {Control of inhalation anesthesia using fuzzy logic},
	journal = {Industrial Engineering and Operations Management},
	year = {2018},
	author = {Brahmi Samira}
}
@proceedings {5142,
	title = {Supervision of an Industrial Process of Milk Production using Fuzzy Logic},
	journal = {Industrial Engineering and Operations Management},
	year = {2018},
	author = {Brahmi Samira}
}
@proceedings {5140,
	title = {Relative bibliometrics of intellectual capital and knowledge management in SCOPUS},
	journal = {Industrial Engineering and Operations Management},
	year = {2018},
	author = {Aitouche Samia}
}
@proceedings {5139,
	title = {Fuzzy Supervision of an Industrial Production Process by Extracting Experts Knwoledge},
	journal = {International Conference on Information, Process, and Knowledge Management},
	year = {2018},
	author = {Zermane Hanane and Aitouche Samia}
}
@proceedings {5138,
	title = {A strategic method for steering a photovoltaic generator},
	journal = {International Conference on Information, Process, and Knowledge Management},
	year = {2018},
	author = {Bouhafna Khyreddine and Aitouche Samia}
}
@article {5124,
	title = {Uncertain fault diagnosis problem using neuro-fuzzy approach and probabilistic model for manufacturing systems, ISSN / e-ISSN 0924-669X / 1573-7497},
	journal = {Applied Intelligence volume},
	volume = {Volume 48},
	number = {Issue 5},
	year = {2018},
	pages = {3143{\textendash}3160},
	abstract = {This paper is concerned with fault detection and diagnosis problem in manufacturing systems. In such industrial environment, production systems are subject to several faults caused by a number of factors including the environment, the accumulated wearing, usage, etc. However, due to the lack of accuracy or fluctuation of data, it is oftentimes impossible to evaluate precisely the correct classification rate of faults. In order to classify each type of fault, neural networks and fuzzy logic are two different intelligent diagnosis methods that are more applied now, and each has its own advantages and disadvantages. A new hybrid fault diagnosis approach is introduced in this paper that considers the combined learning algorithm and knowledge base (Fuzzy rules) to handle ambiguous and even erroneous information. Therefore, to enhance the classification accuracy, three perceptron models including: linear perceptron (LP), multilayer perceptron (MLP) and fuzzy perceptron (FP) have been respectively established and compared. The conditional risk function {\textquotedblleft}PDF{\textquotedblright} that measures the expectation of loss when taking an action is presented at the same time. We evaluate the proposed hybrid approach {\textquotedblleft}Variable Learning Rate Gradient Descent with Bayes{\textquoteright} Maximum Likelihood formula{\textquotedblright} VLRGD-BML on dataset of milk pasteurization process and compare our approach with other similar published works for fault diagnosis in the literature. Comparative results indicate the higher efficiency and effectiveness of the proposed approach with fuzzy perceptron for uncertain fault diagnosis problem.},
	url = {https://link.springer.com/article/10.1007/s10489-017-1132-8},
	author = {Djelloul Imene and Sari Zaki and Latreche Khaled}
}
@proceedings {5110,
	title = {Supervision de Robot Manipulateur virtuel  par Les r{\'e}seaux de neurones et les r{\'e}seaux de Petri},
	journal = {JD{\textquoteright}2019 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Grieb Ouahab}
}
@proceedings {5109,
	title = {Mise en place d\&rsquo;un syst{\`e}me de contr{\^o}le et de supervision pour le champ p{\'e}trolier de Gassi El Agreb},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Rahmouni Brahim}
}
@proceedings {5108,
	title = {Un Syst{\`e}me d\&rsquo;aide {\`a} la d{\'e}cision appliqu{\'e} au GPS pilot{\'e} par la voix humaine \&laquo; cas de distribution de produits \&raquo;},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Guezouli Lahcene}
}
@proceedings {5107,
	title = {Contribution au Diagnostic des Pannes pour les Syst{\`e}mes Eoliens},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Soussa Abdelkrim}
}
@proceedings {5106,
	title = {Dialogue Homme Machine appliqu{\'e} {\`a} la langue arabe standard (speech To speech STS):Application serveur vocal d\&rsquo;une banque},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Menzer Hilal}
}
@proceedings {5105,
	title = {Approche de l\&rsquo;usine intelligente dans l\&rsquo;industrie 4.0, en utilisant le concept d\&rsquo;internet objets},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Bouhafna Kheyreddine}
}
@conference {5080,
	title = {Bi-directional Recurrent End-to-End Neural Network Classifier for Spoken Arab Digit Recognition},
	booktitle = {ICNLSP 2018,  International Conference on Natural Language and Speech Processing},
	year = {2018},
	abstract = {Automatic Speech Recognition can be considered as a transcription of spoken utterances into text which can be used to monitor/command a specific system. In this paper, we propose a general end-to-end approach to sequence learning that uses Long Short-Term Memory (LSTM) to deal with the non-uniform sequence length of the speech utterances. The neural architecture can recognize the Arabic spoken digit spelling of an isolated Arabic word using a classification methodology, with the aim to enable natural human-machine interaction. The proposed system consists to, first, extract the relevant features from the input speech signal using Mel Frequency Cepstral Coefficients (MFCC) and then these features are processed by a deep neural network able to deal with the non uniformity of the sequences length. A recurrent LSTM or GRU architecture is used to encode sequences of MFCC features as a fixed size vector that will feed a multilayer perceptron network to perform the classification. The whole neural network classifier is trained in an end-to-end manner. The proposed system outperforms by a large gap the previous published results on the same database.},
	url = {https://www.researchgate.net/publication/325637507_Bi-directional_recurrent_end-to-end_neural_network_classifier_for_spoken_Arab_digit_recognition},
	author = {Zermane Hanane}
}
@proceedings {5079,
	title = {Control of inhalation anesthesia using fuzzy logic},
	journal = { IEOM 2018 Industrial Engineering and Operations Management July 26-27 Paris, France},
	year = {2018},
	url = { http://ieomsociety.org/paris2018/},
	author = {Zermane Hanane}
}
@proceedings {5078,
	title = {Supervision of an Industrial Process of Milk Production using Fuzzy Logi  },
	journal = { IEOM 2018 Industrial Engineering and Operations Management July 26-27 Paris, France},
	year = {2018},
	abstract = {Because we usually deal with real - world systems with real - world constraints (cost, computer resources, size, weight, power, heat dissipation, etc.), it is understood that the simplest method to accomplish a task is the one that should be used. Experts usually rely on common sense when they solve problems. They also use vague and ambiguous terms. Other experts have no difficulties with understanding and interpreting this statement because they have the background to hearing problems described like this. However, a knowledge engineer would have difficulties providing a computer with the same level of understanding. In a complex industrial process, how can we represent expert knowledge that uses vague and fuzzy terms in a computer to control it? In this work, the application is developed to control the pretreatment and pasteurization station of milk localized in Batna (Algeria) by adopting a control approach based on expert knowledge and fuzzy logic},
	url = {http://www.ieomsociety.org/paris2018/papers/321.pdf},
	author = {Zermane Hanane}
}
@proceedings {5071,
	title = {Proposal of a flexible and universal survey generator for a Business Intelligence},
	journal = {  CEIT 2018 6th International Conference on Control Engineering and Information Technologies 25-27 Octobre Istambul, Turkie},
	year = {2018},
	url = {https://www.aconf.org/conf_161367.html},
	author = {Aitoche Samia}
}
@proceedings {5070,
	title = {Management des comp{\'e}tences dans l\&rsquo;entreprise et sa relation avec la formation},
	journal = { ISKO Maghreb 2018 (International Society for Knowledge Organization 25-26 Novembre, Bejaia, Alg{\'e}rie},
	year = {2018},
	url = { https://isko-maghreb2018.loria.fr/}
}
@proceedings {5069,
	title = {Relative scientometric analysis of knowledge management journals in SCOPUS },
	journal = {PAIS 2018  The 3rd International Conference on Pattern Analysis and Intelligent Systems 24-25 Octobre Tebessa, Alg{\'e}rie},
	year = {2018},
	url = { https://hal.archives-ouvertes.fr/hal-01970974/document},
	author = {Aitouche Samia}
}
@proceedings {5068,
	title = {Relative bibliometrics of intellectual capital and knowledge management in SCOPUS  ISSN: 2169-876    ISBN: 978-1-5323-5944-6-3},
	journal = {IOEM2018. Industrial Engineering and Operations Management 26-27Juillet Paris, France},
	year = {2018},
	url = {http://ieomsociety.org/paris2018/},
	author = {Latreche Khaled}
}
@proceedings {5067,
	title = {A strategic method for steering a photovoltaic generator ISSN: 2308-4375, ISBN: 978-1-61208-620-0},
	journal = {EKNOW 2018 International Conference on Information, Process, and Knowledge Management},
	year = {2018},
	pages = {50-55, 25-29 },
	url = {https://www.thinkmind.org/index.php?view=article\&articleid=eknow_2018_3_30_68009},
	author = {Bouhafna Khereydine}
}
@proceedings {5066,
	title = {
	Fuzzy Supervision of an Industrial Production Process by Extracting Experts Knwoledge ISSN: 2169-876    ISBN: 978-1-5323-5944-6


 

},
	journal = {EKNOW 2018 International Conference on Information, Process, and Knowledge Management},
	year = {2018},
	pages = {44-49, 25-29 },
	url = {https://www.thinkmind.org/index.php?view=article\&articleid=eknow_2018_3_30_68009},
	author = {Zermane Hanane}
}
@article {5049,
	title = {Efficient Golden-Ball Algorithm Based Clustering to solve the Multi-Depot VRP With Time Windows, ISSN / e-ISSN 1942-3594 / 1942-3608},
	journal = {International Journal of Applied Evolutionary Computation},
	volume = {9},
	number = {1},
	year = {2018},
	pages = {1-16},
	abstract = {In this article, the authors propose a decision support system which aims to optimize the classical Capacitated Vehicle Routing Problem by considering the existence of multiple available depots and a time window which must not be violated, that they call the Multi-Depot Vehicle Routing Problem with Time Window (MDVRPTW), and with respecting a set of criteria including: schedules requests from clients, the capacity of vehicles. The authors solve this problem by proposing a recently published technique based on soccer concepts, called Golden Ball (GB), with different solution representation from the original one, this technique was designed to solve combinatorial optimization problems, and by embedding a clustering algorithm. Computational results have shown that the approach produces acceptable quality solutions compared to the best previous results in similar problem in terms of generated solutions and processing time. Experimental results prove that the proposed Golden Ball algorithm is efficient and effective to solve the MDVRPTW problem.},
	url = {https://pdfs.semanticscholar.org/03af/ae92ff6294d650339e9122c883b16a36e35a.pdf },
	author = {Guezouli Lahcene and Bensakhria Mohamed and Abdelhamid Samir}
}
@article {5048,
	title = {Multi-objective optimization using genetic algorithm based clustering for multi- depot heterogeneous fleet vehicle routing problem with time windows, ISSN / e-ISSN 1757-5850 / 1757-5869},
	journal = {International Journal of Mathematics in Operational Research},
	volume = {Vol 13},
	number = { Issue 3},
	year = {2018},
	pages = {30-48},
	abstract = {Efficient routing and scheduling of vehicles has significant economic implications for both the public and private sectors. To this purpose, we propose in this study a decision support system which aims to optimize the classical Capacitated Vehicle Routing Problem by considering the existence of different vehicle types (with distinct capacities and costs) and multiple available depots, that we call the Multi-Depot Heterogeneous Vehicle Routing Problem with Time Window (MDHVRPTW) by respecting a set of criteria including: schedules requests from clients, the heterogeneous capacity of vehicles..., and we solve this problem by proposing a new scheme based on the application of the bio-inspired genetic algorithm heuristics and by embedding a clustering algorithm within a VRPTW optimization frame work, that we will specify later. Computational experiments with the benchmark test instances confirm that our approach produces acceptable quality solutions compared with the best previous results in similar problems in terms of generated solutions and processing time. Experimental results prove that our proposed genetic algorithm is effective in solving the MDHVRPTW problem and hence has a great potential.},
	url = {https://www.researchgate.net/publication/327901926_Multi-objective_optimisation_using_genetic_algorithm_based_clustering_for_multi-depot_heterogeneous_fleet_vehicle_routing_problem_with_time_windows},
	author = {Guezouli Lahcene and Abdelhamid Samir}
}
@article {5047,
	title = { A New Multi-Criteria Solving Procedure for Multi-Depot FSM-VRP with Time Window, ISSN / e-ISSN 2155-4153 /  2155-4161},
	journal = { International Journal of Applied Industrial Engineering IJAIE},
	volume = {4},
	number = {1},
	year = {2018},
	pages = {1-18},
	abstract = {One of the most important combinatorial optimization problems is the transport problem, which has been associated with many variants such as the HVRP and dynamic problem. The authors propose in this study a decision support system which aims to optimize the classical Capacitated Vehicle Routing Problem by considering the existence of different vehicle types (with distinct capacities and costs) and multiple available depots, that the authors call the Multi-Depot HVRPTW by respecting a set of criteria including: schedules requests from clients, the heterogeneous capacity of vehicles..., and the authors solve this problem by proposing a new scheme based on a genetic algorithm heuristics that they will specify later. Computational experiments with the benchmark test instances confirm that their approach produces acceptable quality solutions compared with previous results in similar problems in terms of generated solutions and processing time. Experimental results prove that the method of genetic algorithm heuristics is effective in solving the MDHVRPTW problem and hence has a great potential.},
	url = {https://www.igi-global.com/gateway/article/173693$\#$pnlRecommendationForm},
	author = {Guezouli Lahcene and Abdelhamid Samir}
}
@article {5038,
	title = {Uncertain fault diagnosis problem using neuro-fuzzy approach and probabilistic model for manufacturing systems ISSN /e-ISSN  0924-669X / 1573-7497},
	journal = {Applied Intelligence},
	volume = {Volume 48},
	number = {Issue 5},
	year = {2018},
	abstract = {This paper is concerned with fault detection and diagnosis problem in manufacturing systems. In such industrial environment, production systems are subject to several faults caused by a number of factors including the environment, the accumulated wearing, usage, etc. However, due to the lack of accuracy or fluctuation of data, it is oftentimes impossible to evaluate precisely the correct classification rate of faults. In order to classify each type of fault, neural networks and fuzzy logic are two different intelligent diagnosis methods that are more applied now, and each has its own advantages and disadvantages. A new hybrid fault diagnosis approach is introduced in this paper that considers the combined learning algorithm and knowledge base (Fuzzy rules) to handle ambiguous and even erroneous information. Therefore, to enhance the classification accuracy, three perceptron models including: linear perceptron (LP), multilayer perceptron (MLP) and fuzzy perceptron (FP) have been respectively established and compared. The conditional risk function "PDF" that measures the expectation of loss when taking an action is presented at the same time. We evaluate the proposed hybrid approach "Variable Learning Rate Gradient Descent with Bayes{\textquoteright} Maximum Likelihood formula" VLRGD-BML on dataset of milk pasteurization process and compare our approach with other similar published works for fault diagnosis in the literature. Comparative results indicate the higher efficiency and effectiveness of the proposed approach with fuzzy perceptron for uncertain fault diagnosis problem.},
	url = {https://dl.acm.org/doi/abs/10.1007/s10489-017-1132-8},
	author = {Djelloul Imene and Sari Zaki and Latreche Khaled}
}
@proceedings {5026,
	title = {Proposition d\&rsquo;un syst{\`e}me distribu{\'e} de diagnostic et pronostic bas{\'e} sur les services web et ELM},
	journal = {JD{\textquoteright}2019 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2018},
	author = {Berghout Tarek}
}
@proceedings {5025,
	title = {Elaboration d\&rsquo;un Module de Diagnostic sous Contraintes dans le cadre d\&rsquo;une Strat{\'e}gie de Commande Tol{\'e}rante aux D{\'e}fauts},
	journal = {JD{\textquoteright}2018 2{\`e}me Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2018},
	author = {Hadjidji Nadjiha}
}
@proceedings {5024,
	title = {Syst{\`e}me intelligent d\&$\#$39;aide {\`a} la d{\'e}cision pour la pr{\'e}diction et l\&$\#$39;optimisation des param{\`e}tres d\&$\#$39;un forage p{\'e}trolier},
	journal = {JD{\textquoteright}2018 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2018},
	author = {Rezki Djamil}
}
@proceedings {5023,
	title = {Vers un pronostic de d{\'e}faillances des syst{\`e}mes dynamiques complexes par les Bond Graphs},
	journal = {JD{\textquoteright}2018 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2018},
	author = {Mebarki Nassima}
}
@proceedings {5022,
	title = {Une plate-forme e-maintenance par les syst{\`e}mes Immunitaire Artificiels},
	journal = {JD{\textquoteright}2018 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2018},
	author = {Haboussi  Amar}
}
@proceedings {5021,
	title = {Une nouvelle approche pour la s{\'e}curit{\'e} des Syst{\`e}mes de Contr{\^o}le et d\&$\#$39;Acquisition de Donn{\'e}es SCADA},
	journal = {JD{\textquoteright}2018 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2018},
	author = {Guettafi Salah}
}
@proceedings {5020,
	title = {Pronostic industriel distribu{\'e} des syst{\`e}mes complexes {\`a} base d\&rsquo;agents},
	journal = {JD{\textquoteright}2018 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2018},
	author = {Benaggoune Khaled}
}
@proceedings {5019,
	title = {Pronostic industriel distribu{\'e} des syst{\`e}mes complexes {\`a} base d\&rsquo;agents},
	journal = {JD{\textquoteright}2018 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2018},
	author = {Bellal Salah Eddine}
}
@proceedings {5018,
	title = {Conception d\&$\#$39;un syst{\`e}me d\&rsquo;aide {\`a} la maintenance collaborative bas{\'e}e sur la r{\'e}alit{\'e} mixte},
	journal = {JD{\textquoteright}2018 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2018},
	author = {Hamidene Rabie}
}
@proceedings {5017,
	title = {Contribution {\`a} la mise en place d\&rsquo;une solution distribu{\'e}e intelligente pour le choix d\&rsquo;une technique d\&rsquo;ordonnancement ad{\'e}quate},
	journal = {JD{\textquoteright}2018 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2018},
	author = {Abdessamed Ahmed Adnane}
}
@proceedings {5016,
	title = {Contribution {\`a} la mise en place d\&rsquo;une solution distribu{\'e}e intelligente pour le choix d\&rsquo;une technique d\&rsquo;ordonnancement ad{\'e}quate},
	journal = {JD{\textquoteright}2018 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2018},
	author = {Zaidi Ammar}
}
@proceedings {5015,
	title = {Impact du diagnostic sur l\&rsquo;{\'e}valuation des performances d\&rsquo;un syst{\`e}me dynamique tol{\'e}rant aux fautes},
	journal = {JD{\textquoteright}2018 1{\`e}re Journ{\'e}es des doctorants 14 Octobre  Batna, Alg{\'e}rie},
	year = {2018},
	author = {Kebbas Med Salah}
}
@proceedings {5014,
	title = {Strat{\'e}gie de la Supervision Industrielle pour la Conduite d\&rsquo;un Syst{\`e}me de Production Complexe : Vers une architecture Centralis{\'e}e},
	journal = {JD{\textquoteright}2018 1{\`e}re Journ{\'e}es des doctorants 14 Octobre  Batna, Alg{\'e}rie},
	year = {2018},
	author = {Benaicha Sonia}
}
@proceedings {5013,
	title = {Exploration du Potentiel de la Vision Artificielle pour la Reconnaissance d\&rsquo;Objets dans une image dans un Contexte Industriel},
	journal = {JD{\textquoteright}2018 1{\`e}re Journ{\'e}es des doctorants 14 Octobre  Batna, Alg{\'e}rie},
	year = {2018},
	author = {Rahmani Abdellah}
}
@proceedings {5012,
	title = {Mod{\'e}lisation et Optimisation des syst{\`e}mes renouvelables hybrides pour les sites autonomes},
	journal = {JD{\textquoteright}2018  Journ{\'e}es des doctorants 14 Octobre  Batna, Alg{\'e}rie},
	year = {2018},
	author = {Zereg Heda}
}
@proceedings {5011,
	title = {Proposition d\&rsquo;un syst{\`e}me distribu{\'e} de diagnostic et pronostic bas{\'e} sur les services web et ELM},
	journal = {JD{\textquoteright}2018 2{\`e}me Journ{\'e}es des doctorants 14 Octobre  Batna, Alg{\'e}rie},
	year = {2018},
	author = {Berghout Tarek}
}
@proceedings {4981,
	title = {Performance of Deep Convolutional Neural Networks for the Photovoltaic Generator Monitoring},
	journal = {CNPER1-18  National Conference on Environmental Protection and Renewable Energy, UB2, Batna, Alg{\'e}ria},
	year = {2018},
	author = {Louchene Houssem Eddine}
}
@proceedings {4980,
	title = {Extreme learning machines for faults classification and regression of photovoltaic systems},
	journal = {CNPER1-18  National Conference on Environmental Protection and Renewable Energy, UB2, Batna, Alg{\'e}ria},
	year = {2018},
	author = {Megaache Zineb}
}
@proceedings {4979,
	title = {Vers un syst{\`e}me de R{\'e}alit{\'e} Augment{\'e}e Mobile pour une Maintenance Pr{\'e}ventive Moderne lors d\&$\#$39;une inspection},
	journal = {Ecole de printemps 2017 (IVAR School) au niveau de CERIST Alger },
	year = {2018},
	author = {Hamiden Rabie}
}
@conference {4964,
	title = {Numerical simulation of a high responsivity ultraviolet photodetector},
	booktitle = {ICPR International Conference on Photonics Research (Interphotonics-2018},
	year = {2018},
	abstract = {Ultraviolet photodetectors (UV PDs) are important devices that can be used in various scientific, commercial and military applications. In this work, a numerical simulation study of nitride-based "p+-n-n+" front illuminated UV PD, designed with an aluminum composition achieving a true solar blindness, has been reported using the commercially available Atlas package from Silvaco international. It has been found that the proposed structure is sensitive to the UV rays in the wavelength range investigated, where the spectral response reaches its maximum then declines sharply with a good performance of solar-blind at room temperature and zero-bias voltage. Furthermore, it was also found by simulating the evolution of the current density according to different wavelengths of the incident radiation that the designed structure is able to act as a wavelength selector device.},
	url = {https://www.researchgate.net/publication/333106229_Numerical_simulation_of_a_high_responsivity_ultraviolet_photodetector},
	author = {Bouzid Faycal}
}
@conference {4962,
	title = {Decision support system for piloting an oil drilling process: ROP prediction},
	booktitle = { ICATS{\textquoteright}17 - International Conference on Automatic control, Telecommunications and Signals},
	year = {2018},
	url = {https://www.researchgate.net/publication/330225942_Decision_support_system_for_piloting_an_oil_drilling_process_ROP_prediction},
	author = {Rezki Djamil}
}
@conference {4961,
	title = {Rate of penetration (ROP) prediction in oil drilling based on ensemble machine learning},
	booktitle = {ICTO 2018 / MENCIS2018 - Information and Communication Technologies in Organizations and Society / Middle East \& North Africa Conference for Information Systems},
	volume = {volume 35},
	year = {2018},
	pages = { 537-549},
	abstract = {This work presents the prediction of the rate of progression in oil drilling based on random forest algorithm, which is part of the family of ensemble machine learning. The ROP parameter plays a very important role in oil drilling, which has a great impact on drilling costs, and its prediction allows drilling engineers to choose the best combination of input parameters for better progress in drilling operations. To resolve this problem, several works have been realized with the different modeling techniques as machine learning: RNAs, Bayesian networks, SVM etc. The random forest algorithm chosen for our model is better than the other MLS techniques. in speed or precision, following what we found in the literature and tests done with the open source machine learning tool on historical oil drilling logs from fields of Hassi Terfa located in southern Algeria.},
	url = {https://www.researchgate.net/publication/330225940_Rate_of_penetration_ROP_prediction_in_oil_drilling_based_on_ensemble_machine_learning},
	author = {Rezki Djamil}
}
@inbook {4960,
	title = {Rate of penetration (ROP) prediction in oil drilling based on ensemble machine learning},
	booktitle = {ICT for an Inclusive World },
	volume = {volume 35},
	year = {2018},
	pages = { 537-549},
	publisher = {Springer, Cham},
	organization = {Springer, Cham},
	abstract = {This work presents the prediction of the rate of progression in oil drilling based on random forest algorithm, which is part of the family of ensemble machine learning. The ROP parameter plays a very important role in oil drilling, which has a great impact on drilling costs, and its prediction allows drilling engineers to choose the best combination of input parameters for better progress in drilling operations. To resolve this problem, several works have been realized with the different modeling techniques as machine learning: RNAs, Bayesian networks, SVM etc. The random forest algorithm chosen for our model is better than the other MLS techniques. in speed or precision, following what we found in the literature and tests done with the open source machine learning tool on historical oil drilling logs from fields of Hassi Terfa located in southern Algeria.},
	url = {https://link.springer.com/chapter/10.1007\%2F978-3-030-34269-2_37},
	author = {Rezki Djamil}
}
@proceedings {4959,
	title = {A strategic method for steering a photovoltaic generator ISSN / ISBN  2308-4375 / 978-1-61208-620-0},
	journal = {eKNOW 2018 : The Tenth International Conference on Information, Process, and Knowledge Management 25-29 March Rome, Italy},
	year = {2018},
	pages = {50-55},
	abstract = {T There are several forms of electricity generation, first, by burning fuels, such as coal, natural gas or oil, which have an effect on the atmosphere, especially increasing greenhouse gases, or, second, from renewable sources, such as wind, hydro and solar, which are clean and renewable sources of energy. Our work focuses on solar sources, especially photovoltaics; we have treated the steering part of photovoltaic generators using artificial intelligence methods, specifically, case-based reasoning. The system we have built generates actions to be applied to the generator based on its current state and reasoning from previous cases recorded in the case base.},
	url = {https://www.thinkmind.org/index.php?view=article\&articleid=eknow_2018_3_40_68010},
	author = {Bouhafna Khyreddine}
}
@proceedings {4958,
	title = {Fuzzy Logic Control System in Medical Field},
	journal = {Proceedings of the International Conference on Industrial Engineering and Operations Management, 26-27 July Paris, France},
	year = {2018},
	abstract = {Since the work of Lotfi Zadeh in 1965, the fuzzy logic continues to interest researchers and industrialists who gather around the "theories of uncertainty". The ramifications of fuzzy logic extend to fields as varied as control, the diagnosis of complex systems, bioinformatics, decision support. Research work is done in bio-informatic field where a system for decision support of anesthetic depth fuzzy basic. This study was carried out under general anesthesia with propofol. We use in our work some parameters influencing the patient{\textquoteright}s condition during the course of surgery to control their effects on the depth of general anesthesia by fuzzy logic. In this paper, we propose using the environment MatLab R2017a to realize this application. A comparison between the predictions of the anesthesiologist and anesthetic predictions according to fuzzy logic of our work is done. This study will serve as a guide in developing new anesthesia control systems for patients.},
	url = {http://www.ieomsociety.org/paris2018/papers/73.pdf},
	author = {Zermane Hanane}
}
@conference {4957,
	title = {Automation and Advanced System Control of an Industrial Production Process using Fuzzy Logic},
	booktitle = {CISTEM{\textquoteright}18 3th International Conference on Electrical Sciences and Technologies in Maghreb 28-31 October Algiers, Algeria},
	year = {2018},
	abstract = {Process controls (basic as well as advanced) are implemented within the process control system, which may mean a distributed control system (DCS), programmable logic controller (PLC), and/or a supervisory control computer. DCSs and PLCs are typically industrially hardened and fault-tolerant. Supervisory control computers are often not hardened or fault-tolerant, but they bring a higher level of computational capability to the control system, to host valuable, but not critical, advanced control applications. Advanced controls may reside in either the DCS or the supervisory computer, depending on the application. Basic controls reside in the DCS and its subsystems, including PLCs. Because we usually deal with real - world systems with real - world constraints (cost, computer resources, size, weight, power, heat dissipation, etc.), it is understood that the simplest method to accomplish a task is the one that should be used. Experts usually rely on common sense when they solve problems. They also use vague and ambiguous terms. Other experts have no difficulties with understanding and interpreting this statement because they have the background to hearing problems described like this. However, a knowledge engineer would have difficulties providing a computer with the same level of understanding. In a complex industrial process, how can we represent expert knowledge that uses vague and fuzzy terms in a computer to control it? In this context, the application is developed to control the pretreatment and pasteurization station of milk localized in Batna (Algeria) by adopting a control approach based on expert knowledge and fuzzy logic.},
	url = {https://www.researchgate.net/publication/330589559_Automation_and_Advanced_System_Control_of_an_Industrial_Production_Process_using_Fuzzy_Logic},
	author = {Zermane Hanane}
}
@conference {4952,
	title = {Agent-based prognostic function for multicomponents system with stochastic dependence },
	booktitle = { ICASS 2018International Conference on Applied Smart Systems Medea, Algeria},
	year = {2018},
	abstract = {Prognostic and Health Management of multi-components systems is a challenging task, where different types of dependencies may exist. To tackle the complexity of such system, many distributed approaches are proposed. They deal with structural and functional dependencies and suppose that components are independent, which is not the case in reality. The transition of one component to more degraded states may affect other dependent components. In this paper we address the problem of prognosing components under stochastic dependence, we propose a prognostic based agent function in which a set of agents interact and coordinate to estimate the component remaining useful life with degradation interactions in a distributed manner. The simulation of an example taken from the literature is done on jade framework, the results indicate that the precision of the component RUL is enhanced.},
	url = {https://www.researchgate.net/publication/331453980_Agent-based_prognostic_function_for_multi-components_system_with_stochastic_dependence},
	author = {Benaggoune Khaled}
}
@proceedings {4951,
	title = {Implementation of a preventive maintenance system, based on augmented reality},
	journal = {PAIS{\textquoteright}2018 3rd  International Conference on Pattern Analysis and Intelligent Systems 7-28 Octobre, Universite de Tebessa},
	year = {2018},
	pages = {1-6 },
	abstract = {In this article, we present ARPM (Augmented Reality-based Preventive Maintenance) system, which aims at offering to the technician of a Cement Factory a virtual assistance in real time using various forms of 3D models, images or even texts, in order to help him to maintain and inspect his equipment. This system not only offers the possibility of reducing costs of the preventive maintenance, but also allows monitoring and even anticipating failures. In order to ensure a reliable maintenance operation, we adapted our system to be compatible with the CMMS system (Computerized Maintenance Management System) already exists in the Cement factory},
	url = {https://hal.archives-ouvertes.fr/hal-01970974/document},
	author = {Hamidane  Rabie}
}
@proceedings {4950,
	title = {Moving From unknown to known feature spaces based on TS-ELM with random kernels and connections},
	journal = { IntelliSys2018.  International Conference on Intelligent Systems, London, United Kingdom},
	year = {2018},
	abstract = {In this paper, we propose an algorithm for classification based on extreme learning machine, named TS-ELM (Two feature Spaces Extreme learning Machine). It is a hybridization of two distinct feature mapping of SLFNs (Single hidden layer feedforward neural network). Both are realized based on ELM theories. The first feature space resulted from a random kernel distributions of a randomly connected input samples, that inspired initially from conventional random connected neural network and it is also included in ELM theories. The second feature space that gives the training or testing samples is the result of a random probability distribution of fully connected samples taken from the first feature space, and adjusted with their own weight and threshold parameters. This algorithm was applied on three datasets of multiclass and binary classification, and the results shows that it has strong classification capabilities and universal approximation as well. The mechanisms of the algorithm and universal approximation are discussed in this paper.},
	url = {https://www.researchgate.net/publication/330901639_Moving_From_unknown_to_known_feature_spaces_based_on_TS-ELM_with_random_kernels_and_connections},
	author = {Mouss Leila Hayet}
}
@proceedings {4949,
	title = {Bi-directional Recurrent End-to-End Neural Network Classifier for Spoken Arab Digit Recognition},
	journal = {ICNLSP 2018, The 3rd International Conference on Natural Language and Speech Processing, Algiers},
	year = {2018},
	abstract = {Automatic Speech Recognition can be considered as a transcription of spoken utterances into text which can be used to monitor/command a specific system. In this paper, we propose a general end-to-end approach to sequence learning that uses Long Short-Term Memory (LSTM) to deal with the non-uniform sequence length of the speech utterances. The neural architecture can recognize the Arabic spoken digit spelling of an isolated Arabic word using a classification methodology, with the aim to enable natural human-machine interaction. The proposed system consists to, first, extract the relevant features from the input speech signal using Mel Frequency Cepstral Coefficients (MFCC) and then these features are processed by a deep neural network able to deal with the non uniformity of the sequences length. A recurrent LSTM or GRU architecture is used to encode sequences of MFCC features as a fixed size vector that will feed a multilayer perceptron network to perform the classification. The whole neural network classifier is trained in an end-to-end manner. The proposed system outperforms by a large gap the previous published results on the same database.},
	url = {https://hal.inria.fr/hal-01835440/document},
	author = {Zerari Naima}
}
@conference {4948,
	title = {Using a data mining CRISP-DM methodology for rate of penetration (ROP) prediction in oil well drilling},
	booktitle = {Proceedings of the International Conference on Industrial Engineering and Operations Management Paris, France},
	year = {2018},
	abstract = {This work describes an implementation of a oil drilling data mining project approach based on the CRISP-DM methodology. Recent real-world data were collected from a from historical data of an actual oil drilling process in Hassi Terfa field, situated in South of Algeria. During the modelling process. The goal was to predict the rate of penetration (ROP) based on input parameters that are commonly used at the oil drilling process (weight on bit, rotation per minute, mud density , spp, ucs) . At the data preparation stage, the data were cleaned and variables were selected and transformed. Next, at the modeling stage, a regression approach was adopted, where three learning methods were compared : Artificial Neural Network, Support Vector Machine and Random Forest. The best learning model was obtained by the Random Forest method, which presents a high quality coefficient of correlation. The results of the experiment show that the proposed approach is able to effectively use the engineering data to provide effective prediction ROP, the ROP prediction allows the drilling engineer to select the best combination of the input parameters to have a better advancement},
	url = {https://hal-amu.archives-ouvertes.fr/hal-02482291/document},
	author = {Rezki Djamil}
}
@proceedings {4947,
	title = {Relative bibliometrics of intellectual capital and knowledge management in SCOPUS},
	journal = {Proceedings of the International Conference on Industrial Engineering and Operations Management Paris, France},
	year = {2018},
	abstract = {The purpose of this work is a bibliometric analysis of the evolution of knowledge management (KM) and intellectual capital (IC) as scientific fields in time.  The used data was all articles having {\textquotedblleft}intellectual capital{\textquotedblright} or {\textquotedblleft}knowledge management{\textquotedblright} in their title from SCOPUS database exported in Excel and R language is used to compute the indexes. The analysis is using the indexes (H index, N index, G index, I index, lotka{\textquoteright}s law), which are most related to references and citations of the articles. We find that KM and IC fields are heterogeneous in cases and homogeneous in other cases vis {\`a} vis the applied indexes.  This analysis is usefull to researchers in the two areas to find the pionners and the most productive authors to potentially collaborate with them and,  the most read articles to use them in literature review. In databases of researches, only H index is offered but to all articles of area defined by the database and not for a set of requested articles. This paper is filling this gap,  as the first study of KM and IC using relative bibliometric indexes.},
	url = {http://www.ieomsociety.org/paris2018/papers/450.pdf},
	author = {Aitouche Samia}
}
@proceedings {4946,
	title = {Supervision of an Industrial Process of Milk Production using Fuzzy Logic},
	journal = {Proceedings of the International Conference on Industrial Engineering and Operations Management Paris, France},
	year = {2018},
	abstract = {Proceedings of the International Conference on Industrial Engineering and Operations Management Paris, France, July 26-27, 2018 Supervision of an Industrial Process of Milk Production using Fuzzy Logic Hanane Zermane, Samira Brahmi, Naima Zerari, Rachad Kasmi Laboratory of Automation and Manufacturing, Industrial Engineering Department University Batna 2, Batna, Algeria hananezermane@yahoo.fr, brahmi.samira@gmail.com, n.zerari@yahoo.fr, kasmiradwan08@gmail.comAbstract Because we usually deal with real - world systems with real - world constraints (cost, computer resources, size, weight, power, heat dissipation, etc.), it is understood that the simplest method to accomplish a task is the one that should be used. Experts usually rely on common sense when they solve problems. They also use vague and ambiguous terms. Other experts have no difficulties with understanding and interpreting this statement because they have the background to hearing problems described like this. However, a knowledge engineer would have difficulties providing a computer with the same level of understanding. In a complex industrial process, how can we represent expert knowledge that uses vague and fuzzy terms in a computer to control it? In this work, the application is developed to control the pretreatment and pasteurization station of milk localized in Batna (Algeria) by adopting a control approach based on expert knowledge and fuzzy logic},
	url = {http://www.ieomsociety.org/paris2018/papers/321.pdf},
	author = {Zermane Hanane}
}
@proceedings {4945,
	title = {Fuzzy Supervision of an Industrial Production Process by Extracting Experts Knwoledge, ISSN / ISBN 2308-4375 /  978-1-61208-620-0},
	journal = { eKNOW 2018  International Conference on Information, Process, and Knowledge Management,Rome, Italie},
	year = {2018},
	pages = {44-49},
	abstract = {The automation of production systems has been ananswer to the changing and competitive industrial context andworks by extracting data and experiences of experts. Thisautomation is a double-edged sword; on one hand, it increasesthe productivity of the technical system (cost reduction,reliability, availability, quality), but, on the other hand, itincreases the complexity of the system. This has led to the needof efficient technologies, such as Supervisory Control and DataAcquisition (SCADA) systems and techniques that couldabsorb this complexity such as artificial intelligence and fuzzylogic. In this context, we develop an application that controlsthe pretreatment and pasteurization station of milk localized inBatna (Algeria) by adopting a control approach based onexpert knowledge and fuzzy logic.},
	url = {http://www.ns2.thinkmind.org/index.php?view=article\&articleid=eknow_2018_3_30_6800},
	author = {Hanane Zermane}
}
@article {4908,
	title = {Fuzzy control of an industrial process system using internet and web services, ISSN / e-ISSN \&lrm;1748-5037 / 1748-5045},
	journal = {International Journal of Industrial and Systems Engineering},
	volume = {Vol 29 },
	number = {3},
	year = {2018},
	pages = {pp. 389-404},
	abstract = {This paper illustrates an internet-based fuzzy control system of complex industrial manufacturing, which is cement production. It ensures remote and fuzzy control of the process in real time in cement factories in Algeria. The remote control system contains several tasks, such as alarms diagnostic, e-maintenance and synchronising regulation loops, to guarantee the automated performance. To evolve the system, we propose firstly, fuzzy logic to control the cement mill workshop and ensure that the system is operational with minimal downtime. Secondly, we integrate internet technology to remote control via internet to secure human life and render it unnecessary for operators to be at site. When there is a breakdown, it is not necessary to send an expert to diagnose and solve problems. Therefore, the system reduces travel costs by sending reports and transmitting process data. Operators can execute and monitor the system according to authentication access in main control room or via internet.},
	url = {https://www.inderscience.com/info/inarticle.php?artid=93054},
	author = {Zermane Hanane and Mouss Leila Hayet}
}
@article {4907,
	title = {A Temporal Neuro-Fuzzy System for Estimating Remaining Usefull Life in Preheater Cement Cyclones,  ISSN / e-ISSN 0218-5393 / 1793-6446},
	journal = {International Journal of Reliability Quality and Safety Engineering},
	volume = {26},
	number = {3},
	year = {2018},
	abstract = {Fault prognosis in industrial plants is a complex problem, and time is an important factor for the resolution of this problem. The main indicator for the task of fault prognosis is the estimate of remaining useful life (RUL), which essentially depends on the predicted time to failure. This paper introduces a temporal neuro-fuzzy system (TNFS) for performing the fault prognosis task and exactly estimating the RUL of preheater cyclones in a cement plant. The main component of the TNFS is a set of temporal fuzzy rules that have been chosen for their ability to explain the behavior of the entire system, the components{\textquoteright} degradation, and the RUL estimation. The benefit of introducing time in the structure of fuzzy rules is that a local memory of the TNFS is created to capture the dynamics of the prognostic task. More precisely, the paper emphasizes improving the performance of TNFSs for prediction. The RUL estimation process is broken down into four generic processes: building a predictive model, selecting the most critical parameters, training the TNFS, and predicting RUL through the generated temporal fuzzy rules. Finally, the performance of the proposed TNFS is evaluated using a real preheater cement cyclone dataset. The results show that our TNFS produces better results than classical neuro-fuzzy systems and neural networks.},
	url = {https://doi.org/10.1142/S0218539319500128},
	author = {Mahdaoui Rafik and Mouss Leila Hayet and Haboussi  Amar and Chouhal Ouahiba and Haouassi Hichem}
}
@mastersthesis {6174,
	title = {Contribution {\`a} l\&rsquo;{\'e}valuation des performances de la sous-traitance et de la s{\^u}ret{\'e} de fonctionnement des syst{\`e}mes},
	year = {2017},
	author = {Haoues Mohamed}
}
@mastersthesis {6104,
	title = {Pr{\'e}diction des d{\'e}fauts par les R{\'e}seaux Bay{\'e}sians},
	year = {2017},
	author = {Zereg Hadda and Kara Ahlem}
}
@mastersthesis {6103,
	title = {Impl{\'e}mentation de l\&rsquo;algorithme de balayage dans le solveur de contraintes Choco},
	year = {2017},
	author = {Rouabah Assia}
}
@mastersthesis {6102,
	title = {Optimisation des op{\'e}rations de production par la minimisation des temps},
	year = {2017},
	author = {Nedjema Heyame}
}
@mastersthesis {6101,
	title = {Am{\'e}lioration de la performance d\&rsquo;un syst{\`e}me de production par une approche {\`a} base produit-processus},
	year = {2017},
	author = {Belli Tahar and Dehimi Khireddine}
}
@mastersthesis {6100,
	title = {Etude et mise en {\oe}uvre de la norme ISO 9001 version 2015, axe : contexte de l\&rsquo;organisme et planification},
	year = {2017},
	author = {Cheleghma Rachid}
}
@mastersthesis {6099,
	title = {Une approche bas{\'e}e sur la pond{\'e}ration combin{\'e}e et VIKOR Floue pour r{\'e}soudre les probl{\`e}mes multicrit{\`e}res. Etude de cas : direction des mines et de l\&rsquo;industrie},
	year = {2017},
	author = {Mansouria Elkamla and Bekhouche N-I}
}
@mastersthesis {6098,
	title = {Un mod{\`e}le hybride bas{\'e} sur DEMATEL. Floue et ANP Floue pour la s{\'e}lection multicrit{\`e}res \&ndash; Etude de cas : direction des mines et de l\&rsquo;industrie},
	year = {2017},
	author = {Benakkaf Fiala and Tayane Ilhem}
}
@mastersthesis {6097,
	title = {Probl{\`e}me de planification de la production avec recyclage},
	year = {2017},
	author = {Masmoudi Imad Eddine et and Talbi Adel}
}
@mastersthesis {6096,
	title = {Am{\'e}lioration des performances d\&rsquo;un syst{\`e}me de production (approche LEAN)},
	year = {2017},
	author = {Chebili  Azzedine}
}
@mastersthesis {6095,
	title = {Un mod{\`e}le hybride bas{\'e} sur DEMATEL floue et ANP floue pour la s{\'e}lection multicrit{\`e}res \&ndash; {\'e}tude de cas -},
	year = {2017},
	author = {Tayen ilham and Benakkaf Fiala}
}
@mastersthesis {6094,
	title = {Une approche bas{\'e}e sur la pond{\'e}ration combin{\'e}e et VIKOR floue pour r{\'e}soudre les probl{\`e}mes multicrit{\`e}res},
	year = {2017},
	author = {Bechouche zineb and Mansouroa elkamla}
}
@mastersthesis {6083,
	title = {R{\'e}solution du probl{\`e}me de tourn{\'e}e de v{\'e}hicule du service Hospitalisation {\`a} Domicile (HAD) CHU Batna},
	year = {2017},
	author = {Ibrir Nour-El-Houda and Ramdane Meroua}
}
@mastersthesis {6082,
	title = {Mod{\'e}lisation et r{\'e}solution d\&$\#$39;un cas particulier du probl{\`e}me IRP par ALNS},
	year = {2017},
	author = {Hedhoud Naima and Dehina Samra}
}
@mastersthesis {6068,
	title = {D{\'e}veloppement d\&rsquo;un syst{\`e}me d\&rsquo;E-Management des connaissances pour l\&rsquo;am{\'e}lioration des performances d\&rsquo;un syst{\`e}me de production},
	year = {2017},
	author = {Aitouche Samia}
}
@mastersthesis {6062,
	title = {Etude th{\'e}orique et exp{\'e}rimentale des r{\'e}seaux intelligents appliqu{\'e}s dans la gestion d\&rsquo;{\'e}nergie des syst{\`e}mes photovolta{\"\i}ques connect{\'e}s au r{\'e}seau {\'e}lectrique},
	year = {2017},
	author = {Ghouari Adel}
}
@mastersthesis {6061,
	title = {Investigation th{\'e}orique et exp{\'e}rimentale sur le potentiel d\&rsquo;int{\'e}gration des syst{\`e}mes thermiques solaires {\`a} capteurs plans dans le secteur de l\&rsquo;industrie agro-alimentaire en Alg{\'e}rie},
	year = {2017},
	author = {Boutagriouet Badreddine}
}
@mastersthesis {6060,
	title = {Optimisation fiabiliste d\&rsquo;une maintenance int{\'e}gr{\'e}e a l\&rsquo;ordonnancement de la production},
	year = {2017},
	author = {Bahmani Younes}
}
@mastersthesis {6007,
	title = {Am{\'e}lioration de la performance d\&rsquo;un syst{\`e}me de production par une approche {\`a} base produit-processus},
	year = {2017},
	author = {Belli Tahar and Dehimi Khireddine}
}
@mastersthesis {6006,
	title = {Etude et mise en {\oe}uvre de la norme ISO 9001 version 2015, axe : contexte de l\&rsquo;organisme et planification},
	year = {2017},
	author = {Cheleghima Rachid}
}
@mastersthesis {5977,
	title = {Elaboration d\&rsquo;un plan de maintenance pr{\'e}ventive {\`a} base de la criticit{\'e}. Etude de cas},
	year = {2017},
	author = {Soltani Khaoula and Bouras Hayet}
}
@mastersthesis {5976,
	title = {Interpr{\'e}tation statistique d\&rsquo;un sondage},
	year = {2017},
	author = {Bouafia Dounia}
}
@mastersthesis {5975,
	title = {Analyse de contenu par mots cl{\'e}s des articles scientifiques},
	year = {2017},
	author = {Kanit Akila}
}
@mastersthesis {5974,
	title = {Analyse bibliom{\'e}trique et de la collaboration scientifique dans un domaine de recherche},
	year = {2017},
	author = {Madi Sara and Zelghi Yousra}
}
@mastersthesis {5973,
	title = {Analyse scientom{\'e}trique des auteurs et des journaux scientifiques dans un domaine de recherche},
	year = {2017},
	author = {Maakouf Wafa and Mammeri Faiza}
}
@mastersthesis {5972,
	title = {D{\'e}veloppement d\&rsquo;un syst{\`e}me de veille {\'e}conomique pour un syst{\`e}me de production},
	year = {2017},
	author = {Khaled Houssem and Rouag Nassim}
}
@mastersthesis {5971,
	title = {Elaboration d\&rsquo;un tableau de bord des performances humaines},
	year = {2017},
	author = {Abbes Ilyes and Diab abdellatif}
}
@mastersthesis {5970,
	title = {Elaboration d\&rsquo;un livre de connaissances explicites},
	year = {2017},
	author = {Benrahla Rahim}
}
@mastersthesis {5969,
	title = {Etude et simulation d\&rsquo;un robot de soudage sur Catia},
	year = {2017},
	author = {Ayache Hamou and Bouali Abderrezak}
}
@mastersthesis {5968,
	title = {Optimisation en engineering sur CATIA V5},
	year = {2017},
	author = {Bensaad Salah-Eddine and Bouzid Nassim}
}
@book {5952,
	title = {Mesure du capital intellectuel d\&rsquo;un syst{\`e}me de production, ISBN 13 : 978-3-330-87415-2 / ISBN 10 : 3330874155},
	year = {2017},
	pages = {160 pages},
	publisher = {{\'E}ditions universitaires europ{\'e}ennes},
	organization = {{\'E}ditions universitaires europ{\'e}ennes},
	abstract = {Le Capital Intellectuel gagne une importance dans l{\textquoteright}{\'e}conomie du savoir d{\textquoteright}aujourd{\textquoteright}hui et joue un r{\^o}le essentiel dans l{\textquoteright}innovation, la croissance de la productivit{\'e} ainsi que dans le rendement et la comp{\'e}titivit{\'e} des organisations. Le Capital Intellectuel peut englober les domaines suivants : ressources humaines, structure et processus organisationnels, recherche et d{\'e}veloppement, technologie et droits li{\'e}s {\`a} la propri{\'e}t{\'e} intellectuelle,... La gestion du capital intellectuel est un domaine qui fait appel {\`a} la cr{\'e}ativit{\'e} et {\`a} l{\textquoteright}intelligence des personnes, {\`a} de nouvelles m{\'e}thodes de gestion, {\`a} de nouvelles technologies de l{\textquoteright}information, et {\`a} de nouvelles fa{\c c}ons de concevoir l{\textquoteright}organisation postindustrielle dans la nouvelle {\'e}conomie du savoir. Le travail de cet ouvrage s{\textquoteright}inscrit dans le domaine de la mesure du capital intellectuel de n{\textquoteright}importe quel type d{\textquoteright}entreprise. Le but de cet ouvrage est la mesure de ce capital dans trois syst{\`e}mes de production diff{\'e}rents en utilisant la boite {\`a} outils de mesure de la richesse {\guillemotleft} WWTK {\guillemotright}.Toutefois, le capital intellectuel donne de r{\'e}elles perspectives d{\textquoteright}{\'e}volution de l{\textquoteright}avantage concurrentiel de certaines organisations.},
	url = {https://my.editions-ue.com/catalogue/details/fr/978-3-330-87415-2/mesure-du-capital-intellectuel-d-un-syst\%2525C3\%2525A8me-de-production},
	author = {Brahmi Samia and Aitouche Samia and Mouss Med Djamel}
}
@mastersthesis {5870,
	title = {Conception et r{\'e}alisation d\&rsquo;une application JEE de e-commerce cas d\&rsquo;application : produit informatique},
	year = {2017},
	author = {Athmani Khaledet and Boughdiri Khireddine}
}
@mastersthesis {5869,
	title = {L\&rsquo;apport de l\&rsquo;intelligence {\'e}conomique dans un syst{\`e}me de distribution des produits parapharmaceutique \&laquo; {\'e}tude pratique  chark \&ndash;cosm{\'e}tique \&raquo;},
	year = {2017},
	author = {Bouzidi Houssem and Arami sohaib}
}
@mastersthesis {5868,
	title = {{\'E}tude de l\&$\#$39;information au service de d{\'e}tection des risques concurrentiel dans la phase de distribution  \&laquo;  {\'e}tude pratique SAIDAL \&raquo;},
	year = {2017},
	author = {Bey Insaf and Bouchemal  Hasna}
}
@mastersthesis {5867,
	title = {Optimisation des op{\'e}rations de production par la minimisation des temps},
	year = {2017},
	author = {Nedjma Heyame}
}
@mastersthesis {5866,
	title = {Am{\'e}lioration d\&rsquo;un syst{\`e}me de t{\'e}l{\'e}-conduite (SCADA) d\&rsquo;un r{\'e}seau de distribution de l\&rsquo;{\'e}lectricit{\'e} (Application sur la Direction de Distribution, SONELGAZ \&ndash; Batna)},
	year = {2017},
	author = {Berrache Faiza and Chouaou Amira}
}
@mastersthesis {5865,
	title = {.D{\'e}veloppement d\&rsquo;une application EAM  (EAM : Entreprise Asset Management) {\`a} base du logiciel GLPI (Application pour la gestion du syst{\`e}me de t{\'e}l{\'e}-conduite (SCADA) de la Direction de Distribution, SONELGAZ \&ndash; Batna)},
	year = {2017},
	author = {Madani Assia and Benbrahim Selma}
}
@mastersthesis {5864,
	title = {Etude de l\&rsquo;am{\'e}lioration du syst{\`e}me de traitement du gaz inject{\'e} au niveau de la station R{\'e}cup{\'e}ration des Gaz Torch{\'e}s Edjeleh (RGTE) du champ de Edjeleh-In Amenas\&raquo;},
	year = {2017},
	author = {Gueraiche Bilel and Boutenoune Haroun}
}
@mastersthesis {5863,
	title = {Elaboration d\&rsquo;un cahier des charges en vue de l\&rsquo;installation d\&rsquo;un syst{\`e}me de T{\'e}l{\'e}-contr{\^o}le SCADA avec l\&rsquo;utilisation des technologies Wireless (application sur le champ p{\'e}trolier de Gassi El Agreb)},
	year = {2017},
	author = {Sassi Ataf and Lebid Khaled}
}
@mastersthesis {5862,
	title = {D{\'e}veloppement d\&rsquo;une application de contr{\^o}le commande en utilisant Labview},
	year = {2017},
	author = {Bounaslla Dalal}
}
@mastersthesis {5861,
	title = {Drinking water surveillance using a multi-layered artificial neural network},
	year = {2017},
	author = {Kabouya  AlaaEddine}
}
@mastersthesis {5835,
	title = {R{\'e}solution des probl{\`e}mes de diagnostic industriel avec des techniques d\&$\#$39;intelligence artificielle},
	year = {2017},
	author = {Kadri Ouahab}
}
@mastersthesis {5826,
	title = {Une approche a base d\&$\#$39;agent mobile pour la M-maintenance industrielle},
	year = {2017},
	author = {Abid Khadidja}
}
@mastersthesis {5825,
	title = {Une approche intelligente pour une maintenance industrielle de qualit{\'e}},
	year = {2017},
	author = {Rezki Nafissa}
}
@mastersthesis {5822,
	title = {Ordonnancement des syst{\`e}mes de production sous contraintes technologiques ou contextuelles : Mod{\'e}lisation, {\'e}tude de complexit{\'e} et approches int{\'e}gr{\'e}es de r{\'e}solution},
	year = {2017},
	author = {Bentrcia Toufik}
}
@mastersthesis {5743,
	title = {Conception et r{\'e}alisation d\&rsquo;une application JEE de e-commerce cas d\&rsquo;application : produit informatique},
	year = {2017},
	author = {Athmani Khaled and Boughdiri Khireddine}
}
@mastersthesis {5742,
	title = {Contr{\^o}le flou d\&rsquo;un syst{\`e}me de production utilisant LabVIEW },
	year = {2017},
	author = {Kasmi Rached}
}
@mastersthesis {5741,
	title = { Commande bluetooth d\&$\#$39;un v{\'e}hicule via une carte Arduino},
	year = {2017},
	author = {Amyar Souleyman}
}
@mastersthesis {5740,
	title = {L\&rsquo;utilisation des r{\'e}seaux de neurones pour la cr{\'e}ation d\&rsquo;une plateforme de supervision en temps r{\'e}el des syst{\`e}mes de production},
	year = {2017},
	author = {Bouallag Zine Eddine and Boutitaou Haythem}
}
@mastersthesis {5739,
	title = {Mise au point d\&rsquo;un syst{\`e}me expert flou pour la cr{\'e}ation d\&rsquo;une plateforme de surveillance en temps r{\'e}el des d{\'e}fauts affectant les syst{\`e}mes de production},
	year = {2017},
	author = {Bouaicha Sabrina and Derradji Abbes}
}
@mastersthesis {5738,
	title = {Diagnostic typique et intelligent des d{\'e}fauts par les machines {\`a} vecteur de support},
	year = {2017},
	author = {Gouaref Ahmed Rami and Rabhi Lamir}
}
@mastersthesis {5737,
	title = {Cr{\'e}ation d\&rsquo;une plateforme pour la smart d{\'e}tection en temps r{\'e}el des anomalies dans le fonctionnement des syst{\`e}mes de production par la m{\'e}thode k-PPV},
	year = {2017},
	author = {Soueir Rima and Hadjidji Nadjiha}
}
@mastersthesis {5736,
	title = {Mise en place, param{\'e}trage et d{\'e}veloppement {\'e}volutif sur Open ERP d\&$\#$39;une application de la gestion int{\'e}gr{\'e}e},
	year = {2017},
	author = {Latreche Med El-Mondhir and Soltani Walid}
}
@mastersthesis {5735,
	title = {Commande d\&$\#$39;un robot x-y {\`a} trajectoire fixe},
	year = {2017},
	author = {Chebili Mohammed}
}
@mastersthesis {5734,
	title = {D{\'e}tection d\&$\#$39;Objets en Mouvement},
	year = {2017},
	author = {Sahraoui Med-Taher}
}
@book {5718,
	title = {Relational database courses and exercises, ISBN-10 : 3668608482 / ISBN-13 : 978-3668608481},
	year = {2017},
	pages = {64 pages},
	publisher = { Grin Verlag },
	organization = { Grin Verlag },
	abstract = {This course is intended for computing sophomores and aims at presenting basic principles of relational DBMS and the practice of these fundamentals. The course content is mainly the following: Chapter 1: Introduction to databases Chapter 2: Relational Model Chapter 3: Relational Algebra Chapter 4: Standardization Chapter 5: SQL Language Chapter 6: Practical work A set of exercises are included at the end of the document. We added a tutorial section and directed to allow students to apply the concepts learned in the five chapters.},
	url = {https://www.amazon.fr/Relational-Database-Courses-Exercises-Ouahab/dp/3668608482},
	author = {Kadri Ouahab and Abdelhadi Adel}
}
@book {5717,
	title = {Les syst{\`e}mes experts flous dans le domaine de l\&rsquo;industrie, ISBN-10 : 3639652789 / ISBN-13 : 978-3639652789},
	year = {2017},
	pages = {184 pages},
	publisher = {Editions universitaires europ{\'e}ennes},
	organization = {Editions universitaires europ{\'e}ennes},
	abstract = {Les processus complexes industriels pr{\'e}sentent des dynamiques hautement non lin{\'e}aires et poss{\`e}dent un grand nombre de variables, pour lesquels il est parfois difficile d{\textquoteright}obtenir un mod{\`e}le math{\'e}matique pr{\'e}cis qui permet de d{\'e}tecter les {\'e}tats anormaux. En effet, les techniques de l{\textquoteright}IA, ont prouv{\'e} leur efficacit{\'e} dans le contr{\^o}le et la surveillance des syst{\`e}mes industriels. L{\textquoteright}objectif, est de les appliquer dans un syst{\`e}me de fabrication du ciment {\`a} des fins de supervision. Ceci permet d{\textquoteright}{\'e}viter les arr{\^e}ts inutiles, r{\'e}duire la consommation d{\textquoteright}{\'e}nergie et {\'e}voluer la production. Plusieurs outils peuvent permettre de r{\'e}aliser un tel travail. Parmi eux, la plateforme PCS, la biblioth{\`e}que CEMAT et FuzzyControl++.},
	url = {https://www.amazon.fr/syst\%C3\%A8mes-experts-flous-domaine-lindustrie/dp/3639652789},
	author = {Hanane Zermane and Mouss Leila Hayet}
}
@book {5716,
	title = {Ant Colony Algorithm in Fault Diagnosis, ISBN-13 : 978-3668350045 / ISBN-10 : 3668350043},
	year = {2017},
	pages = {140 pages},
	publisher = {Grin Verlag},
	organization = {Grin Verlag},
	abstract = {In this book, we propose several modules of diagnosis for complex and dynamic systems. These modules are based on the three algorithms colony of ants, which are AntTreeStoch, Lumer \&amp; Faieta and Binary ant colony. These algorithms have been chosen for their simplicity and their vast field of application. However, these algorithms cannot be used under their basal form for the development of diagnostic modules since they have several limitations. We have also proposed several adaptations in order that these algorithms can be used in diagnostic modules. We have proposed a parallel version of the algorithm AntTreeStoch based on a reactive multi-agents system. This version allows minimizing the influence of initial sort on the outcome of classification. We have also introduced a new parameter called Sid, which allows several ants to connect to the same position, and we have modified the movements of ants by promoting the path of the ant the most similar. For the algorithm Lumer \&amp; Faieta, we have accelerated the speed of construction of classes by adding a speed setting different for each Ant. To reduce the number of movements, we have proposed a new variable that allows saving the identifiers of objects displaced by the same Ant. To improve the quality of classification, we have also added to the algorithm of the indices to report the classes trunks constructed. For the algorithm Binary ant colony, we have proposed a variant called "Hybrid wrapper/filter-based ACO-SVM". This algorithm allows the selection of parameters. It combines the techniques of filters and enveloping methods in taking advantage of the rapidity of the Fisher report and the adaptation of selected settings to the classifier SVM. It improves the quality of classification according to the data nature in the database for learning and the type of the kernel function used. It also allows adjusting the hyper-parameters of the kernel function. We tested these algorithms based on data from two industrial systems, which are the sintering system and the pasteurization system, as well on a few databases of UCI (University of California, Irvine).},
	url = {https://www.grin.com/document/344694},
	author = {Abdelhadi Adel and Kadri Ouahab}
}
@proceedings {5186,
	title = {Contribution {\`a} l\&rsquo;{\'e}valuation fonctionnelle des syst{\`e}mes industriels pour la maitrise des risques},
	journal = {JD{\textquoteright}2017 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2017},
	author = {Zeghdani S}
}
@proceedings {5185,
	title = {Proposition d\&rsquo;un syst{\`e}me de tra{\c c}abilit{\'e} et location {\`a} l\&rsquo;aide des r{\'e}seaux sans fils},
	journal = {JD{\textquoteright}2017 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2017},
	author = {Mehanaoui R}
}
@proceedings {5184,
	title = {Ordonnancement d\&rsquo;un Syst{\`e}me de production pour une Gestion Optimale d\&rsquo;Energie},
	journal = {JD{\textquoteright}2017 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2017},
	author = {Bouakkaz A}
}
@proceedings {5181,
	title = {Contribution {\`a} la Pr{\'e}vision a Base d\&rsquo;Analyse Stochastique Multicrit{\`e}re Participative, des Performances d\&rsquo;un Syst{\`e}me de production Industriel},
	journal = {JD{\textquoteright}2017 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2017},
	author = {Bouhidel lynda}
}
@proceedings {5180,
	title = {Techniques d\&rsquo;Am{\'e}lioration de la Tra{\c c}abilit{\'e} pour l\&rsquo;Optimisation d\&rsquo;une Cha{\^\i}ne Logistique},
	journal = {JD{\textquoteright}2017 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2017},
	author = {Smaili Yamina}
}
@proceedings {5179,
	title = {Un Syst{\`e}me d\&rsquo;aide {\`a} la d{\'e}cision appliqu{\'e} au GPS pilot{\'e} par la voix humaine \&laquo; cas de distribution de produits \&raquo;},
	journal = {JD{\textquoteright}2017 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2017},
	author = {Guezzouli L}
}
@proceedings {5178,
	title = {L\&rsquo;optimisation de l\&rsquo;extension d\&rsquo;un probl{\`e}me d\&rsquo;ordonnancement classique},
	journal = {JD{\textquoteright}2017 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2017},
	author = {Boukelkoul Z}
}
@proceedings {5177,
	title = {Lot-sizing de plusieurs produits sur plusieurs lignes de production avec fen{\^e}tres de temps sur la production et sur les demandes},
	journal = {JD{\textquoteright}2017 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2017},
	author = {Semassel O}
}
@proceedings {5176,
	title = {Am{\'e}lioration du probl{\`e}me de lot Sizing : Consid{\'e}rations Humaines et environnementales},
	journal = {JD{\textquoteright}2017 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2017},
	author = {Laggoun Assia}
}
@proceedings {5175,
	title = {Lot-sizing avec optimisation des profits (\&quot;revenue management\&quot;)},
	journal = {JD{\textquoteright}2017 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2017},
	author = {Boutarfa Youcef}
}
@proceedings {5174,
	title = {Probl{\`e}me de planification de la production avec coordination et recyclage},
	journal = {JD{\textquoteright}2017 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2017},
	author = {Mammeri Walid}
}
@proceedings {5173,
	title = {Int{\'e}gration des probl{\`e}mes de lot Sizing et d\&rsquo;ordonnancement dans les ateliers type Flow Shop},
	journal = {JD{\textquoteright}2017 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2017},
	author = {Belbedj Farid}
}
@proceedings {5172,
	title = {L\&rsquo;apport des r{\'e}seaux d\&rsquo;automates stochastiques pour la mod{\'e}lisation et l\&rsquo;{\'e}valuation des performances des syst{\`e}mes de production a grand espace d\&rsquo;{\'e}tat},
	journal = {JD{\textquoteright}2017 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2017},
	author = {Belferhi Amor}
}
@article {5150,
	title = {A New Multi-Criteria Solving Procedure for Multi-Depot FSM-VRP with Time Window, ISSN / e-ISSN  2155-4153 / 2155-4161},
	journal = {International Journal of Applied Industrial Engineering (IJAIE)},
	volume = {Vol 4},
	number = {Issue 1},
	year = {2017},
	pages = {1-18},
	abstract = {One of the most important combinatorial optimization problems is the transport problem, which has been associated with many variants such as the HVRP and dynamic problem. The authors propose in this study a decision support system which aims to optimize the classical Capacitated Vehicle Routing Problem by considering the existence of different vehicle types (with distinct capacities and costs) and multiple available depots, that the authors call the Multi-Depot HVRPTW by respecting a set of criteria including: schedules requests from clients, the heterogeneous capacity of vehicles..., and the authors solve this problem by proposing a new scheme based on a genetic algorithm heuristics that they will specify later. Computational experiments with the benchmark test instances confirm that their approach produces acceptable quality solutions compared with previous results in similar problems in terms of generated solutions and processing time. Experimental results prove that the method of genetic algorithm heuristics is effective in solving the MDHVRPTW problem and hence has a great potential.},
	url = {https://www.igi-global.com/gateway/article/173693},
	author = {Guezouli Lahcene and Abdelhamid Samir}
}
@article {5149,
	title = {Externalising and reusing of tacit knowledge in manufacturing task, ISSN / e-ISSN 1743-8268 / 1743-8276},
	journal = {International Journal of Knowledge Management Studies },
	volume = {Vol 8},
	number = {N{\textdegree} 3/4},
	year = {2017},
	pages = {351-374},
	abstract = {In this paper, we present the application of knowledge engineering and externalisation of tacit knowledge in manufacturing industry, in order to improve the performance of a production system and save the knowledge capital of the company. The main aim of this study is to propose a knowledge model for manufacturing task combining common knowledge acquisition and design support (CommonKADS) and methodology for acquisition of tacit knowledge (MACTAK) methodologies, using two different knowledge base modelling based on two categories: (i) ontology and (ii) expert knowledge base. In that purpose, we suggest a process dedicated to industrial manufacturing, allowing to capitalise knowledge by: (1) Externalisation of tacit knowledge by MACTAK-methodology in industrial processes, (2) using knowledge engineering method; CommonKADS methodology, (3) Formalizing and modelling the domain knowledge using ontology and inference model, (4) presenting the implementation tool to support the knowledge model and (5) reusing the manufacturing knowledge model in decision support systems. The three pillars of methodology are: the externalisation process, Knowledge representation technique and quality tools. The proposed model is applied in manufacturing monitoring systems.},
	url = {https://www.researchgate.net/publication/320246966_Externalising_and_reusing_of_tacit_knowledge_in_manufacturing_task},
	author = {Titah Mawloud and Aitouche Samia and Mouss Mohamed Djamel and Soussa Abdelkrim}
}
@proceedings {5137,
	title = {Automatic text summarization: A review},
	journal = {International Conference on Information, Process, and Knowledge Management},
	year = {2017},
	author = {Zerari Naima and Aitouche Samia}
}
@proceedings {5136,
	title = {Keyword analysis of intellectual capital and knowledge management in SCOPUS},
	journal = {International Conference on Information, Process, and Knowledge Management},
	year = {2017},
	author = {Aitouche Samia}
}
@proceedings {5135,
	title = {Intellectual capital and its measurement},
	journal = {Industrial Engineering and Operations Management},
	year = {2017},
	author = {Brahmi Samira}
}
@article {5132,
	title = {Electronic Waste Generation and Management in the Middle East and North Africa (MENA) Region: Algeria as a Case Study, ISSN 1520-6483},
	volume = { Vol 26},
	number = {Issue 4},
	year = {2017},
	pages = {5-16},
	abstract = {Electronic waste (e-waste) is one of the fastest growing waste streams in the world. Notwithstanding increasing concern worldwide, e-waste has not yet been discussed in depth in the Middle East and North Africa (MENA) region. This study first reviews the literature regarding the estimation of e-waste in the MENA region. It then gives an estimate of the past and future trends in the generation of obsolete computers in Algeria. For this purpose, the study combines two models: the Carnegie Mellon model and the market supply (distribution delay) model. The Carnegie Mellon model offers the following options for obsolete computers and monitors: the device could be reused, stored, or discarded. The amounts of devices falling into each category were determined based on these options. The outcomes from the market supply (distribution delay) model show that high amounts of computer and monitor waste were registered for the period from 2014 to 2016.},
	url = {https://www.researchgate.net/publication/320599708_Electronic_Waste_Generation_and_Management_in_the_Middle_East_and_North_Africa_MENA_Region_Algeria_as_a_Case_Study},
	author = {Hamouda Karima and Adjroudi Rachid}
}
@article {5131,
	title = {Methodology for WEEE assessment in Algeria, ISSN / e-ISSN 0020-7233 / 1029-0400},
	journal = {International Journal of Environmental Studies},
	volume = {Vol 74},
	number = {Issue 4},
	year = {2017},
	pages = {568-585},
	abstract = {Waste electrical and electronic equipment (WEEE) generated in emerging countries is increasing. This study presents a methodology to improve assessment and monitoring WEEE in Algeria. The proposed methodology is a two-step approach. The first step is the collection and collation of existing data from different national and international sources. In the second step, different assessment and forecasting methods are applied. Forecasting methods were selected from those models which provided minimum error indices. The paper considers also the availability and reliability of data in order to provide a future reliable assessment of WEEE in Algeria. The study revealed that the forecasting methods do not have a big influence on the results contrary to the inputs of the model.},
	url = {https://www.researchgate.net/publication/316654273_Methodology_for_WEEE_assessment_in_Algeria},
	author = {Hamouda Karima and Adjroudi Rachid and Rotter Vera Susanne}
}
@article {5129,
	title = {Measurement of Intellectual Capital in an Algerian Company, e-ISSN 1307-6892},
	journal = {International Journal of Economics and Management Engineering},
	volume = {Vol 11},
	number = {N{\textdegree}5},
	year = {2017},
	pages = {965-968},
	abstract = {Every modern company should measure the value of its intellectual capital and to report to complement the traditional annual balance sheets. The purpose of this work is to measure the intellectual capital in an Algerian company (or production system) using the Weightless Wealth Tool Kit (WWTK). The results of the measurement of intellectual capital are supplemented by traditional financial ratios. The measurement was applied to the National Company of Wells Services (ENSP) in Hassi Messaoud city, in the south of Algeria. We calculated the intellectual capital (intangible resources) of the ENSP to help the organization to better capitalize on its potential of workers and their know-how. The intangible value of the ENSP is evaluated at 16,936,173,345 DA in 2015.},
	url = {https://publications.waset.org/10006999/measurement-of-intellectual-capital-in-an-algerian-company},
	author = {Brahmi Soumia and Aitouche Samia and Mouss Med Djamel}
}
@article {5128,
	title = {Bayesian Belief Network Used in the Chemical and Process Industry: A Review and Application, ISSN 1547-7029},
	journal = { Journal of Failure Analysis and Prevention},
	volume = {Volume 17},
	number = {Issue 1},
	year = {2017},
	pages = {159{\textendash}165},
	abstract = {With the increasing growth of the chemical and process industries, it is necessary to ensure the safe operation of their complex and often hazardous installations, given their proximity to residential areas. Several techniques, such as fault tree analysis (FTA), bow-tie analysis (BTA), and Bayesian belief networks (BBNs), have been developed for adequate probabilistic risk assessment and management. The current work is aimed at performing a brief statistical review of the use of Bayesian networks in the chemical and process industry within the last decade. The review reveals that Bayesian networks have been used extensively in various forms of safety and risk assessment. This trend is attributable to the complexity of the installations found in this industry and the ability of BBN to intuitively represent these complexities, handle uncertainties, and update event probabilities. The paper is concluded with an illustrative example of the use of BBN to investigate the effectiveness of the safety barriers of a gas facility.},
	url = {https://www.researchgate.net/publication/311879867_Bayesian_Belief_Network_Used_in_the_Chemical_and_Process_Industry_A_Review_and_Application},
	author = {Zerrouki Hamza and Smadi Hacene}
}
@article {5127,
	title = {The MAED and SVM for fault diagnosis of wind turbine system, e-ISSN 1309-0127},
	volume = {Vol 7},
	number = {N{\textdegree}2},
	year = {2017},
	pages = { 758-769},
	abstract = {Fault diagnosis is the best discipline to control the operation and maintenance costs of the wind turbine system. However, the fault diagnosis of wind turbine finds difficulties with the variation of wind speed and electrical energy (generator torque). In this work, the proposed fault diagnosis approach is based on the Feature set algorithm, manifold learning and the Support Vector Machine classifier. First, the construction of the feature set is very important step, with the high dimension after application the MAED (Manifold Adaptive Experimental Design) algorithm on the data set. Moreover, the NPE (Neighborhood Preserving Embedding) manifold learning algorithm is applied for directional reduction of feature set by the eigenvectors; it is easy to use as the input for the last step. Finally, the low dimensions of eigenvectors are exploited by the (SVM) Support Vector Machine classifier for recognition fault and making the maintenance decision. This approach is implanted on the faults of the benchmark wind turbine and gives the best performance.},
	url = {https://www.researchgate.net/publication/317934350_The_MAED_and_SVM_for_fault_diagnosis_of_wind_turbine_system},
	author = {Soussa Abdelkrim and Mouss Med Djamel and Aitoche Samia and Melakhessou Hayet and Titah Mawloud}
}
@article {5126,
	title = {Externalising and reusing of tacit knowledge in manufacturing task, ISSN / e-ISSN 1743-8268 / 1743-8276},
	journal = {International Journal of Knowledge Management Studies},
	volume = {Vol 8},
	number = {N{\textdegree}3/4},
	year = {2017},
	pages = {351-374},
	abstract = {In this paper, we present the application of knowledge engineering and externalisation of tacit knowledge in manufacturing industry, in order to improve the performance of a production system and save the knowledge capital of the company. The main aim of this study is to propose a knowledge model for manufacturing task combining common knowledge acquisition and design support (CommonKADS) and methodology for acquisition of tacit knowledge (MACTAK) methodologies, using two different knowledge base modelling based on two categories: (i) ontology and (ii) expert knowledge base. In that purpose, we suggest a process dedicated to industrial manufacturing, allowing to capitalise knowledge by: (1) Externalisation of tacit knowledge by MACTAK-methodology in industrial processes, (2) using knowledge engineering method; CommonKADS methodology, (3) Formalizing and modelling the domain knowledge using ontology and inference model, (4) presenting the implementation tool to support the knowledge model and (5) reusing the manufacturing knowledge model in decision support systems. The three pillars of methodology are: the externalisation process, Knowledge representation technique and quality tools. The proposed model is applied in manufacturing monitoring systems.},
	url = {https://www.researchgate.net/publication/320246966_Externalising_and_reusing_of_tacit_knowledge_in_manufacturing_task},
	author = {Titah Mawloud and Aitouche Samia and Mouss Med Djamel and Soussa Abdelkrim}
}
@proceedings {5104,
	title = {Contribution au Diagnostic des Pannes pour les Syst{\`e}mes Eoliens},
	journal = {JD{\textquoteright}2017 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2017},
	author = {Titah Mawloud}
}
@proceedings {5103,
	title = {Ordonnancement et optimisation des Ressources d\&rsquo;un Syst{\`e}me Flexible soumis {\`a} Diff{\'e}rents Types de Contraintes de Blocage},
	journal = {JD{\textquoteright}2017 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2017},
	author = {Rezzoug Lilia}
}
@proceedings {5102,
	title = {Un Syst{\`e}me d\&rsquo;aide {\`a} la d{\'e}cision appliqu{\'e} au GPS pilot{\'e} par la voix humaine \&laquo; cas de distribution de produits \&raquo;},
	journal = {JD{\textquoteright}2017 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2017},
	author = {Guezouli Lahcene}
}
@proceedings {5101,
	title = {Contribution a l\&rsquo;Am{\'e}lioration du Diagnostic Industriel Multi-Crit{\`e}res},
	journal = {JD{\textquoteright}2017 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2017},
	author = {Rezzoug Lilia}
}
@proceedings {5100,
	title = {Am{\'e}lioration du processus de capitalisation et de partage des connaissances pour la maximisation de la valeur d\&rsquo;un syst{\`e}me de production},
	journal = {JD{\textquoteright}2017 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2017},
	author = {Titah Mawloud}
}
@proceedings {5099,
	title = {Optimisation de la navigation autonome d\&rsquo;un robot dans un espace de travail Industriel},
	journal = {JD{\textquoteright}2017 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2017},
	author = {Medgrou Aicha}
}
@proceedings {5098,
	title = {Conception et d{\'e}ploiement des syst{\`e}mes de gestion de donn{\'e}es techniques dans l\&rsquo;ing{\'e}nierie de production},
	journal = {JD{\textquoteright}2017 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2017},
	author = {Tkouti Sami}
}
@article {5097,
	title = {Implantation d\&rsquo;une GMAO dans un syst{\`e}me de production pour l\&rsquo;am{\'e}lioration de la performance de l\&rsquo;entreprise},
	journal = {JD{\textquoteright}2017 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2017},
	author = {Belhoul Haroun}
}
@proceedings {5096,
	title = {La politique de Suret{\'e} de Fonctionnement dans les syst{\`e}mes industriels : Application aux stations d\&rsquo;{\'e}puration dites STEP},
	journal = {JD{\textquoteright}2017 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2017},
	author = {NOUNE Med Said}
}
@proceedings {5095,
	title = {Contribution {\`a} l\&rsquo;utilisation des r{\'e}seaux d\&rsquo;achat Electroniques (e-sourcing) en vue de l\&rsquo;optimisation des structures d\&rsquo;approvisionnements de l\&rsquo;alg{\'e}rienne des textiles},
	journal = {JD{\textquoteright}2017 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2017},
	author = {AMEUR Zouina}
}
@proceedings {5094,
	title = {Approche de l\&rsquo;usine intelligente dans l\&rsquo;industrie 4.0, en utilisant le concept d\&rsquo;internet objets},
	journal = {JD{\textquoteright}2017 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2017},
	author = {Bouhafna Kheyreddine}
}
@proceedings {5077,
	title = {Processing a voice query in a Standard Arabic Human-Machine Dialog System (SAHMDS)},
	journal = {PAIS{\textquoteright}17 The 2nd International Conference on Pattern Analysis and Intelligent Systems November 16-17th Khenchela Algeria},
	year = {2017},
	author = {Menzer Bilal}
}
@proceedings {5076,
	title = {An effective multi-criteria solving procedure for Multi-depot Fleet Size and Mix VRP with time window},
	journal = {ICC 2017The second  International Conference on Internet of Things, Data and Cloud Computing Cambridge university, United Kingdom },
	year = {2017},
	author = {Guezouli Lahcene}
}
@proceedings {5075,
	title = {A multi-objective optimization of Multi-depot Fleet Size and Mix Vehicle Routing Problem with time window},
	journal = {IICSC). 6th International Conference on Systems and Controle  Batna2 university, Algeria},
	year = {2017},
	pages = {328-333 },
	url = {DOI10.1109/ICoSC.2017.7958650},
	author = {Guezouli Lahcene}
}
@proceedings {5074,
	title = {Keyword analysis of intellectual capital and knowledge management in SCOPUS ISSN:2308-4375    ISBN: 978-1-61208-542},
	journal = {EKNOW 2017 International Conference on Information, Process, and Knowledge Management  March 19 - 23 Nice, France},
	year = {2017},
	pages = {26-32},
	url = {https://www.thinkmind.org/index.php?view=article\&articleid=eknow_2017_2_20_60006},
	author = {Zerari Naima}
}
@proceedings {5073,
	title = {Analysis of Wireless Data Transmission for the Site Survey of Telemetry Systems Projects ISBN 978-1-61399-563-1},
	journal = {  ADIPEC International Petroleum Exhibition \& Conference 13-16 November Abu Dhabi, UAE},
	year = {2017},
	url = {https://doi.org/10.2118/188600-MS},
	author = {Aouedj Mounir}
}
@proceedings {5065,
	title = {Intellectual capital and its measurement ISSN: 2196-8767, ISBN: 978-0-9855497-6-3},
	journal = { IEOM 2017 Industrial Engineering and Operations Management 11-13Avril Rabat, Marocco},
	year = {2017},
	pages = {205-209},
	url = {ieomsociety.org/ieom2017/papers/53.pdf},
	author = {Brahmi Samia}
}
@proceedings {5064,
	title = {Automatic text summarization: A review ISSN:2308-4375    ISBN: 978-1-61208-542},
	journal = {EKNOW 2017 International Conference on Information, Process, and Knowledge Management Nice, France},
	year = {2017},
	url = {https://www.thinkmind.org/index.php?view=article\&articleid=eknow_2017_2_20_60006},
	author = {Zerari Naima}
}
@proceedings {5063,
	title = {Keyword analysis of intellectual capital and knowledge management in SCOPUS, ISSN:2308-4375    ISBN: 978-1-61208-542},
	journal = {EKNOW 2017 International Conference on Information, Process, and Knowledge Management Nice, France },
	year = {2017},
	url = {https://www.thinkmind.org/index.php?view=article\&articleid=eknow_2017_2_20_60006},
	author = {Aitoche Samia}
}
@proceedings {5061,
	title = {Building a SCADA System by Using a DCS Control System to Improve Oilfield Wells Monitoring, ISBN 978-1-61399-575-4},
	journal = {SPE Intelligent Oil and Gas Symposium Knowledge Sharing 9-10 May  held in Abu Dhabi, UAE},
	year = {2017},
	pages = {506-512},
	author = {Aouedj Mounir}
}
@article {5055,
	title = {An Efficient Hybrid Approach Based on Multi-Agent System and Emergence Method for the Integration of Systematic Preventive Maintenance Policies},
	journal = {IJIME International Journal of Industrial and Manufacturing Engineering },
	volume = {Vol 4},
	number = {N{\textdegree}5},
	year = {2017},
	abstract = {This paper proposes a novel hybrid algorithm for the integration of systematic preventive maintenance policies in hybrid flow shop scheduling to minimize makespan. We have implemented a problem-solving approach for optimizing the processing time, methods based on metaheuristics. The proposed approach is inspired by the behavior of the human body. This hybridization is between a multi-agent system and inspirations of the human body, especially genetics. The effectiveness of our approach has been demonstrated repeatedly in this paper. To solve such a complex problem, we proposed an approach which we have used advanced operators such as uniform crossover set and single point mutation. The proposed approach is applied to three preventive maintenance policies. These policies are intended to maximize the availability or to maintain a minimum level of reliability during the production chain. The results show that our algorithm outperforms existing algorithms. We assumed that the machines might be unavailable periodically during the production scheduling},
	url = {https://www.researchgate.net/publication/303858216_An_Efficient_Hybrid_Approach_Based_on_Multi-Agent_System_and_Emergence_Method_for_the_Integration_of_Systematic_Preventive_Maintenance_Policies},
	author = {Kadri Ouahab and Abdelhadi Adel}
}
@article {5054,
	title = {An Improved Approach Based on MAS Architecture and Heuristic Algorithm for Systematic Maintenance},
	journal = {International Journal of Industrial and Manufacturing Engineering},
	volume = { Vol 11},
	number = {N{\textdegree}5},
	year = {2017},
	abstract = {This paper proposes an improved approach based on MAS Architecture and Heuristic Algorithm for systematic maintenance to minimize makespan. We have implemented a problem-solving approach for optimizing the processing time, methods based on metaheuristics. The proposed approach is inspired by the behavior of the human body. This hybridization is between a multi-agent system and inspirations of the human body, especially genetics. The effectiveness of our approach has been demonstrated repeatedly in this paper. To solve such a complex problem, we proposed an approach which we have used advanced operators such as uniform crossover set and single point mutation. The proposed approach is applied to three preventive maintenance policies. These policies are intended to maximize the availability or to maintain a minimum level of reliability during the production chain. The results show that our algorithm outperforms existing algorithms. We assumed that the machines might be unavailable periodically during the production scheduling.},
	url = {https://publications.waset.org/abstracts/69375/pdf},
	author = {Abdelhadi Adel and Kadri Ouahab}
}
@article {5051,
	title = {Gestion dynamique des carrefours {\`a} feux, e-ISSN 2421-9606},
	journal = {IJMS - The International Journal of Multi-disciplinary Sciences},
	volume = {Volume 1-17},
	year = {2017},
	abstract = {Les technologies utilis{\'e}es dans les syst{\`e}mes de transport intelligents varient, allant de syst{\`e}mes de gestion basiquescomme les syst{\`e}mes de gestion des carrefours {\`a} feux, les syst{\`e}mes de gestion des conteneurs, les panneaux {\`a} messages variables, radars automatiques ou la vid{\'e}osurveillance aux applications plus avanc{\'e}es qui int{\`e}grent des donn{\'e}es en temps-r{\'e}el avec retours d{\textquoteright}informations de nombreuses sources, comme les informations m{\'e}t{\'e}orologiques, ...etc.Cet article donne un bref aper{\c c}u surunegestion intelligente des carrefours {\`a} feuxutilisant des capteurs sans fils},
	url = {http://www.ijmsonline.net/wp-content/uploads/2017/06/1-17-2-Gestion-Dynamique-des-Carrefours-\%C3\%A0-Feux.pdf},
	author = {Aksa Karima and Titouna Faiza and Benali Bilal and Djettaou Bilel}
}
@article {5046,
	title = {
	Measurement of Intellectual Capital in an Algerian Company, e-ISSN 2010-376X


 

},
	journal = {International Journal of Economics and Management Engineering},
	volume = {11},
	number = {5},
	year = {2017},
	pages = {965-968},
	abstract = {Every modern company should measure the value of its intellectual capital and to report to complement the traditional annual balance sheets. The purpose of this work is to measure the intellectual capital in an Algerian company (or production system) using the Weightless Wealth Tool Kit (WWTK). The results of themeasurement of intellectual capital are supplemented by traditional financial ratios. The measurement was applied to the National Company of Wells Services (ENSP) in Hassi Messaoud city, in thesouth of Algeria. We calculated the intellectual capital (intangible resources) of the ENSP to help the organization to better capitalize on its potential of workers and their know-how. The intangible value of the ENSP is evaluated at 16,936,173,345 DA in 2015},
	url = {https://waset.org/Publication/measurement-of-intellectual-capital-in-an-algerian-company/10006999},
	author = {Brahmi Samia and Aitouche Samia and Mouss Med Djamel}
}
@article {5045,
	title = {The MAED and SVM for fault diagnosis of wind turbine system,  e-ISSN 1309-0127},
	journal = {International Journal of Renewable Energy Research-IJRER },
	volume = {Vol 7},
	number = {N{\textdegree}2},
	year = {2017},
	pages = {758-769},
	abstract = {
	
		Fault diagnosis is the best discipline to control the operation and maintenance costs of the wind turbine system. However, the fault diagnosis of wind turbine finds difficulties with the variation of wind speed and electrical energy (generator torque).
	

	
		In this work, the proposed fault diagnosis approach is based on the Feature set algorithm, manifold learning and the Support Vector Machine classifier. First, the construction of the feature set is very important step, with the high dimension after application the MAED (Manifold Adaptive Experimental Design) algorithm on the data set. Moreover, the NPE(Neighborhood Preserving Embedding)manifold learning algorithm is applied for dimensionally reduction of feature set by the eigenvectors; it is easy to use as the input for the last step. Finally, the low dimension of eigenvectors is exploited by the Support Vector Machine classifier for recognition fault and making the maintenance decision.
	

	
		This approach is implanted on the faults of the benchmark wind turbine and gives the best performance.
	

},
	url = {https://www.researchgate.net/publication/317934350_The_MAED_and_SVM_for_fault_diagnosis_of_wind_turbine_system},
	author = {Soussa Abdelkrim and Mouss Mohamed Djamel and Aitouche Samia and Melakhessou Hayet}
}
@article {5044,
	title = {
	Externalising and reusing of tacit knowledge in manufacturing task, ISSN / e-ISSN 1743-8268 / 1743-8276


 

},
	journal = { International Journal of Knowledge Management Studies },
	volume = {Vol 8},
	number = {N{\textdegree} 3-4},
	year = {2017},
	pages = {351-374},
	abstract = {In this paper, we present the application of knowledge engineering and externalisation of tacit knowledge in manufacturing industry, in order to improve the performance of a production system and save the knowledge capital of the company. The main aim of this study is to propose a knowledge model for manufacturing task combining common knowledge acquisition and design support (CommonKADS) and methodology for acquisition of tacit knowledge (MACTAK) methodologies, using two different knowledge base modelling based on two categories: (i) ontology and (ii) expert knowledge base. In that purpose, we suggest a process dedicated to industrial manufacturing, allowing to capitalise knowledge by: (1) Externalisation of tacit knowledge by MACTAK-methodology in industrial processes, (2) using knowledge engineering method; CommonKADS methodology, (3) Formalizing and modelling the domain knowledge using ontology and inference model, (4) presenting the implementation tool to support the knowledge model and (5) reusing the manufacturing knowledge model in decision support systems. The three pillars of methodology are: the externalisation process, Knowledge representation technique and quality tools. The proposed model is applied in manufacturing monitoring systems.},
	url = {https://www.inderscienceonline.com/doi/abs/10.1504/IJKMS.2017.087078},
	author = {Titah Mawloud and Aitouche Samia and Mouss Mohamed Djamel and Soussa Abdelkrim}
}
@article {5039,
	title = {
	Billiardo: A Novel Virtual Coordinates Routing Protocol Based on Multiple Sinks for Wireless Sensor Network, ISSN /e-ISSN  0929-6212 /  1572-834X


 

},
	journal = {Wireless Personal Communications },
	volume = {94},
	number = {3},
	year = {2017},
	pages = {1147{\textendash}1164},
	abstract = {Geographic routing protocols based on virtual coordinate system are used in wireless sensor networks without GPS assistance or any localization technique. They rely completely on virtual coordinates derived from relative distances or hop counting to a set of anchor nodes in the sensor network. Despite the fact that the recently proposed virtual coordinate protocols have gained advantages as they are GPS free, they suffer from crucial inevitable problems. The reason for such a case lies, in fact, on these protocols which depend widely on the characteristic of {\textquotedblleft}fixed reference points{\textquotedblright} (called anchors). The worst of these engendered problems is that of the unique reference framework where it is quite difficult to assign the existing nodes a unique identity. This lack of uniqueness cannot guarantee delivery and fails most of the time to forward the packet successfully. Moreover, a question rises here on how to select the anchors in order to use them in the field of work. Therefore; this paper comes to find out another way to solve the above-mentioned problems. The proposed routing protocol {\textquotedblleft}Billiardo{\textquotedblright} is of greedy type based on virtual coordinates system. Its key idea is to use more than one sink, and all these sinks are used as anchors to allow each sensor to get its virtual coordinates. This protocol depends on hops{\textquoteright} count to find the shortest path towards just one selected sink among the other sinks without any complicated formula. Through tested simulation Billiardo proves to be far better and more efficient than the others to avoid all the thwarting problems in forwarding the packet.},
	url = {https://link.springer.com/article/10.1007/s11277-016-3675-0},
	author = {Aksa Karima}
}
@proceedings {5010,
	title = {Syst{\`e}me intelligent d\&$\#$39;aide {\`a} la d{\'e}cision pour la pr{\'e}diction et l\&$\#$39;optimisation des param{\`e}tres d\&$\#$39;un forage p{\'e}trolier},
	journal = {JD{\textquoteright}2017 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2017},
	author = {Rezki Djamil}
}
@proceedings {5009,
	title = {Vers un pronostic de d{\'e}faillances des syst{\`e}mes dynamiques complexes par les Bond Graphs},
	journal = {JD{\textquoteright}2017 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2017},
	author = {Mebarki Nassima}
}
@proceedings {5008,
	title = {Une plate-forme e-maintenance par les syst{\`e}mes Immunitaire Artificiels},
	journal = {JD{\textquoteright}2017 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2017},
	author = {Haboussi  Amar}
}
@proceedings {5007,
	title = {Une nouvelle approche pour la s{\'e}curit{\'e} des Syst{\`e}mes de Contr{\^o}le et d\&$\#$39;Acquisition de Donn{\'e}es SCADA},
	journal = {JD{\textquoteright}2017 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2017},
	author = {Guettafi Salah}
}
@proceedings {5006,
	title = {Pronostic industriel distribu{\'e} des syst{\`e}mes complexes {\`a} base d\&rsquo;agents},
	journal = {JD{\textquoteright}2017 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2017},
	author = {Benaggoune Khaled}
}
@proceedings {5005,
	title = {Exploration du Potentiel de la Vision Artificielle pour la Reconnaissance d\&rsquo;Objets dans une image dans un Contexte Industriel},
	journal = {JD{\textquoteright}2017 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2017},
	author = {Kebbas Med Salah}
}
@proceedings {5004,
	title = {Conception d\&$\#$39;un syst{\`e}me d\&rsquo;aide {\`a} la maintenance collaborative bas{\'e}e sur la r{\'e}alit{\'e} mixte},
	journal = {JD{\textquoteright}2017 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2017},
	author = {Zaidi Ammar}
}
@proceedings {5003,
	title = {Contribution {\`a} la mise en place d\&rsquo;une solution distribu{\'e}e intelligente pour le choix d\&rsquo;une technique d\&rsquo;ordonnancement ad{\'e}quate},
	journal = {JD{\textquoteright}2017 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2017},
	author = {Abdessamed Ahmed Adnane}
}
@proceedings {5002,
	title = {Conception d\&rsquo;un outil informatique pour l\&rsquo;analyse et le traitement de param{\`e}tres d{\'e}livr{\'e}s par un {\'e}quipement en vu de diagnostiquer les d{\'e}fauts},
	journal = {JD{\textquoteright}2017 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2017},
	author = {Hamidene Rabie}
}
@proceedings {5001,
	title = {Impact du diagnostic sur l\&rsquo;{\'e}valuation des performances d\&rsquo;un syst{\`e}me dynamique tol{\'e}rant aux fautes},
	journal = {JD{\textquoteright}2017 1{\`e}re Journ{\'e}es des doctorants14 Octobre Batna, Alg{\'e}rie},
	year = {2017},
	author = {Bellal Salah Eddine}
}
@proceedings {5000,
	title = {Elaboration d\&rsquo;un Module de Diagnostic sous Contraintes dans le cadre d\&rsquo;une Strat{\'e}gie de Commande Tol{\'e}rante aux D{\'e}fauts},
	journal = {JD{\textquoteright}2017 2{\`e}me Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2017},
	author = {Hadjidji Nadjiha}
}
@proceedings {4999,
	title = {Supervision et pilotage automatique d\&rsquo;un syst{\`e}me de production industriel dans le Cloud Computing utilisant Machine Learning, 2{\`e}me Journ{\'e}es des doctorants},
	journal = {JD{\textquoteright}2017 2{\`e}me Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2017},
	author = {Meguelatti Abderahmene}
}
@proceedings {4998,
	title = {Mod{\'e}lisation et Optimisation des syst{\`e}mes renouvelables hybrides pour les sites autonomes.},
	journal = {JD{\textquoteright}2017 2{\`e}me Journ{\'e}es des doctorants14 Octobre Batna, Alg{\'e}rie},
	year = {2017},
	author = {Zereg Heda}
}
@proceedings {4997,
	title = {Exploration du Potentiel de la Vision Artificielle pour la Reconnaissance d\&rsquo;Objets dans une image dans un Contexte Industriel},
	journal = {JD{\textquoteright}2017  1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2017},
	author = {Rahmani Abdellah}
}
@proceedings {4996,
	title = {Strat{\'e}gie de la Supervision Industrielle pour la Conduite d\&rsquo;un Syst{\`e}me de Production Complexe : Vers une architecture Centralis{\'e}e},
	journal = {JD{\textquoteright}2017 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2017},
	author = {Benaicha Sonia}
}
@proceedings {4995,
	title = {Une nouvelle approche pour la s{\'e}curit{\'e} des Syst{\`e}mes de Contr{\^o}le et d\&$\#$39;Acquisition de Donn{\'e}es SCADA},
	journal = {JD{\textquoteright}2016  Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2017},
	author = {Guettafi Salah}
}
@conference {4970,
	title = {Diagnostic par reconnaissance de forme Immunitaire du Processus De fabrication de Ciment},
	booktitle = {Colloque International sur les Materiaux et leurs Applications, CIMA{\textquoteright}2017, At Khenchela,algeria},
	year = {2017},
	abstract = {Dans ce travail nous nous proposons de concevoir un syst{\`e}me de diagnostic par reconnaissance de formes immunitaires. La reconnaissance de formes est un vaste champ de recherche, indispensable {\`a} tout syst{\`e}me intelligent d{\textquoteright}aide {\`a} la d{\'e}cision. En nous inspirant des syst{\`e}mes immunitaires nous avons essay{\'e} de capturer plusieurs propri{\'e}t{\'e}s utiles {\`a} la reconnaissance, comme la m{\'e}morisation et l{\textquoteright}adaptation. L{\textquoteright}algorithme d{\'e}velopp{\'e} est inspir{\'e} de l{\textquoteright}algorithme d{\textquoteright}apprentissage bio {\guillemotleft}CLONCLAS {\guillemotright}. Cet algorithme utilise une nouvelle formule pour le calcul d{\textquoteright}affinit{\'e} qui est plus proche du mod{\`e}le r{\'e}el. Un logiciel informatique de simulation interactive baptis{\'e} DAIS (Diagnosis Artificiel Immun System) est d{\'e}velopp{\'e} sous MATLAB au sein du LAP (Batna), destin{\'e} {\`a} l{\textquoteright}apprentissage et au test d{\textquoteright}un syst{\`e}me de diagnostic immunitaire de pannes d{\textquoteright}un proc{\'e}d{\'e} industriel complexe. DAIS utilise les th{\'e}ories immunitaires pour le diagnostic industriel, plus pr{\'e}cis{\'e}ment la s{\'e}lection clonale.},
	url = {https://www.researchgate.net/publication/333105978_Diagnostic_Par_Reconnaissance_De_Forme_Immunitaire_Du_Processus_De_Fabrication_De_Ciment},
	author = {Haboussi Ammar}
}
@proceedings {4944,
	title = { How to develop signal classification tool, basing on stochastic model},
	journal = {The 5th International Conference on Control \& Signal Processing, 28-. 30 October 2017 Kairouan Tunisia},
	year = {2017},
	author = {ZAIDI Amar}
}
@conference {4943,
	title = {Intra-hour Forecasting of Direct Normal Solar Irradiance Using Variable Selection with Artificial Neural Networks},
	booktitle = {International Conference in Artificial Intelligence in Renewable Energetic Systems  At Tipasa },
	year = {2017},
	pages = {281-290},
	abstract = {Renewable Energy Sources (RES) are one of the key solutions to handle the world{\textquoteright}s future energy needs, while decreasing carbon emissions. To produce electricity, large concentrating solar power plants depend on Direct Normal Irradiance (DNI), which is rapidly variable under broken clouds conditions. To work at optimum capacity while maintaining stable grid conditions, such plants require accurate DNI forecasts for various time horizons. The main goal of this study is the forecasting of DNI over two short-term horizons: 15-min and 1-hour. The proposed system is purely based on historical local data and Artificial Neural Networks (ANN). For this aim, 1-min solar irradiance measurements have been obtained from two sites in different climates. According to the forecast results, the coefficient of determination (R 2) ranges between 0.500 and 0.851, the Mean Absolute Percentage Error (MAPE) between 0.500 and 0.851, the Normalized Mean Squared Error (NMSE) between 0.500 and 0.851, and the Root Mean Square Error (RMSE) between 0.065 kWh/m 2 and 0.105 kWh/m 2. The proposed forecasting models show a reasonably good forecasting capability , which is decisive for a good management of solar energy systems.},
	url = {https://www.researchgate.net/publication/320628730_Intra-hour_Forecasting_of_Direct_Normal_Solar_Irradiance_using_Variable_Selection_with_Artificial_Neural_Networks},
	author = {Atmani Hanane}
}
@inbook {4942,
	title = {ntra-hour Forecasting of Direct Normal Solar Irradiance Using Variable Selection with Artificial Neural Networks},
	booktitle = {Artificial Intelligence in Renewable Energetic Systems},
	year = {2017},
	pages = {281-290},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	abstract = {Renewable Energy Sources (RES) are one of the key solutions to handle the world{\textquoteright}s future energy needs, while decreasing carbon emissions. To produce electricity, large concentrating solar power plants depend on Direct Normal Irradiance (DNI), which is rapidly variable under broken clouds conditions. To work at optimum capacity while maintaining stable grid conditions, such plants require accurate DNI forecasts for various time horizons. The main goal of this study is the forecasting of DNI over two short-term horizons: 15-min and 1-h. The proposed system is purely based on historical local data and Artificial Neural Networks (ANN). For this aim, 1-min solar irradiance measurements have been obtained from two sites in different climates. According to the forecast results, the coefficient of determination (R{\texttwosuperior}) ranges between 0.500 and 0.851, the Mean Absolute Percentage Error (MAPE) between 0.500 and 0.851, the Normalized Mean Squared Error (NMSE) between 0.500 and 0.851, and the Root Mean Square Error (RMSE) between 0.065 kWh/m{\texttwosuperior} and 0.105 kWh/m{\texttwosuperior}. The proposed forecasting models show a reasonably good forecasting capability, which is decisive for a good management of solar energy systems.},
	url = {https://www.researchgate.net/publication/323700008_Intra-hour_Forecasting_of_Direct_Normal_Solar_Irradiance_Using_Variable_Selection_with_Artificial_Neural_Networks},
	author = {Atmani Hanane and Bouzgou Hassen and Gueymard Chris}
}
@conference {4941,
	title = {Ensemble of Support Vector Methods to Estimate Global Solar Radiation in Algeria},
	booktitle = {International Conference in Artificial Intelligence in Renewable Energetic Systems,  At Tipasa, Algeria},
	volume = {volume 35},
	year = {2017},
	pages = {155-163},
	abstract = {In this paper, we propose a set of times series forecasting techniques based on the combination of Support Vector Regression methods to predict global horizontal solar radiation in Algeria. The models were constructed and tested using different architectures of Support Vector Machine (SVM), namely, (RBF kernel, Polinomial kernel and Linear kernel). We use individual time series models and linear combination techniques to predict global solar radiation indifferent sites in Algeria. For this aim, the recorded data of 4 stations spread over Algeria were used to build different combination schemes for the different times series algorithms. The efficiency of the different models was calculated using a number of statistical indicators: the Mean Absolute Percentage Error (MAPE), the Mean Squared Error (RMSE), Mean Bias Error (MABE) and the Coefficient of Determination (R 2). The results obtained from these models were compared with the measured data.},
	url = {https://link.springer.com/chapter/10.1007/978-3-319-73192-6_16},
	author = {Zemouri Nahed}
}
@inbook {4940,
	title = {Ensemble of Support Vector Methods to Estimate Global Solar Radiation in Algeria},
	booktitle = { Artificial Intelligence in Renewable Energetic Systems},
	volume = {volume 35},
	year = {2017},
	pages = {155-163},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	abstract = {In this paper, we propose a set of times series forecasting techniques based on the combination of Support Vector Regression methods to predict global horizontal solar radiation in Algeria. The models were constructed and tested using different architectures of Support Vector Machine (SVM), namely, (RBF kernel, Polinomial kernel and Linear kernel). We use individual time series models and linear combination techniques to predict global solar radiation indifferent sites in Algeria. For this aim, the recorded data of 4 stations spread over Algeria were used to build different combination schemes for the different times series algorithms. The efficiency of the different models was calculated using a number of statistical indicators: the Mean Absolute Percentage Error (MAPE), the Mean Squared Error (RMSE), Mean Bias Error (MABE) and the Coefficient of Determination (R {\texttwosuperior}). The results obtained from these models were compared with the measured data.},
	url = {https://www.researchgate.net/publication/323699138_Ensemble_of_Support_Vector_Methods_to_Estimate_Global_Solar_Radiation_in_Algeria},
	author = {Zemouri Nahed and Bouzgou Hassen}
}
@conference {4939,
	title = {Gaussian process with linear discriminant analysis for predicting hourly global horizontal irradiance in Tamanrasset, Algeria},
	booktitle = { 5th International Conference on Electrical Engineering (ICEE), At Boumerdes, Algeria},
	year = {2017},
	pages = {pp. 1-5},
	abstract = {In this paper, the problem of time series prediction is studied. A Bayesian procedure based on Gaussian Process (GP) model combined with Linear Discriminate Analysis (LDA) as dimensionality reduction method is proposed. To evaluate the proposed approach, its performance is assessed using three scenarios: long window (latest 50 variables), short window (latest 5 variables) and persistence. To evaluate the performance of the proposed forecast model, the results of the different scenarios are compared to that of Extreme Learning Machines (ELM). Based on measured irradiance data from Tamanrasset, Algeria, the present results describe the performance of the combination of LDA with GP for forecasting hourly global solar irradiance.},
	url = {https://www.researchgate.net/publication/319990133_Gaussian_Process_with_Linear_Discriminant_Analysis_for_Predicting_Hourly_Global_Horizontal_Irradiance_in_Tamanrasset_Algeria},
	author = {Zemouri Nahed}
}
@conference {4938,
	title = {An Improved Approach Based on MAS Architecture and Heuristic Algorithm for Systematic Maintenance, ISBN: 978-1-5090-6774-9},
	booktitle = {ICIEA 2017. 19th International Conference on Industrial Engineering and Automation, Paris, France 18-19- May },
	year = {2017},
	abstract = {This paper proposes an improved approach based on MAS Architecture and Heuristic Algorithm for systematic maintenance to minimize makespan. We have implemented a problem-solving approach for optimizing the processing time, methods based on metaheuristics. The proposed approach is inspired by the behavior of the human body. This hybridization is between a multi-agent system and inspirations of the human body, especially genetics. The effectiveness of our approach has been demonstrated repeatedly in this paper. To solve such a complex problem, we proposed an approach which we have used advanced operators such as uniform crossover set and single point mutation. The proposed approach is applied to three preventive maintenance policies. These policies are intended to maximize the availability or to maintain a minimum level of reliability during the production chain. The results show that our algorithm outperforms existing algorithms. We assumed that the machines might be unavailable periodically during the production scheduling.},
	url = {https://www.researchgate.net/publication/316980675_An_Improved_Approach_Based_on_MAS_Architecture_and_Heuristic_Algorithm_for_Systematic_Maintenance},
	author = {Abdelhadi Adel}
}
@conference {4937,
	title = {Fuzzy-Based Process Control System of a Bag filter in Cement Manufacturing Plant},
	booktitle = {   ICSC IEEE 6th International Conference on Systems and Control, Batna, Algeria},
	year = {2017},
	pages = {pp. 109-114},
	abstract = {uring the last years, in industrial process control, requirements for Continuous Emission Monitoring (CEM) have increased significantly. Most plants are investing in CEM systems in order to burn waste, obtain ISO 14000 and 18001 certification to protect operator{\textquoteright}s life. In this work, our approach describes development of a novel internet and fuzzy-based CEM system (IFCEMS). This system contains operator{\textquoteright}s stations for the bag filter{\textquoteright}s automation system and monitored using Internet. The object of the present installation consists of a suction ventilator, a bag filter and a system for collecting and evacuating the dust. To optimize the running of the bag filter workshop and ensure continuous control, the process based on one of the most powerful Artificial Intelligence techniques which is fuzzy logic involves the removal or filtration of smoke from the kiln and/or cement mill with control of temperature and pressure of the fumes.},
	url = {https://ieeexplore.ieee.org/document/7958740},
	author = {Zermane Hanane}
}
@conference {4936,
	title = { Supervision and Fuzzy Control of a Manufacturing Process using LabVIEW},
	booktitle = { IEEE 5th International Conference on Electrical Engineering {\textendash} Boumerdes, Algeria},
	year = {2017},
	pages = {pp. 1-6},
	abstract = {Presently, in industrial process plants, requirements for Continuous Emission Monitoring (CEM) have increased significantly. Most plants are investing in these systems in order to burn waste. In this work, we developed a Fuzzy Control of CEM (FCCEM). This system contains operator{\textquoteright}s stations to supervise the bag filter using Fuzzy Logic. This equipment consists of a suction ventilator, a bag filter and a system for collecting and evacuating the dust. To optimize the running of the bag filter workshop and ensure continuous control, the process based on fuzzy logic involves the removal or filtration of smoke from the kiln and/or raw mill with control of temperature and pressure of fumes.},
	url = {https://www.researchgate.net/publication/321821317_Supervision_and_fuzzy_control_of_a_manufacturing_process_using_LabVIEW},
	author = {Zermane Hanane}
}
@proceedings {4933,
	title = {New fuzzy-based process control system for a bag-filter in a cement manufacturing plant, ISBN / ISSN 978-0-9855497-6-3 / 2169-8767},
	journal = {IOEM 2017 International Conference on Industrial Engineering and Operations Management, Proceedings of the Rabat, Morocco},
	year = {2017},
	abstract = {During the last years, in industrial process control, requirements for Continuous Emission Monitoring (CEM) have increased significantly. Most plants are investing in CEM systems in order to burn waste, obtain ISO 14000 and 18001 certification to protect operator{\textquoteright}s life. In this work, our approach describes development of a novel internet and fuzzy-based CEM system(IFCEMS). This system contains operator{\textquoteright}s stations for the bag filter{\textquoteright}s automation system and monitored using Internet. The object of the present installation consists of a suction ventilator, a bag filter and a system for collecting and evacuating the dust. To optimize the running of the bag filter workshop and ensure continuous control, the process based on one of the most powerful Artificial Intelligence techniques which is fuzzy logic involves the removal or filtration of smoke from the kiln and/or cement mill with control of temperature and pressure of the fumes},
	url = {http://ieomsociety.org/ieom2017/papers/461.pdf},
	author = {Zermane Hanane}
}
@article {4924,
	title = {An Improved Approach Based on MAS Architecture and Heuristic Algorithm for Systematic Maintenance,},
	journal = {International Journal of Industrial and Manufacturing Engineering},
	volume = {Vol 11},
	number = {N{\textdegree}5},
	year = {2017},
	abstract = {This paper proposes an improved approach based on MAS Architecture and Heuristic Algorithm for systematic maintenance to minimize makespan. We have implemented a problem-solving approach for optimizing the processing time, methods based on metaheuristics. The proposed approach is inspired by the behavior of the human body. This hybridization is between a multi-agent system and inspirations of the human body, especially genetics. The effectiveness of our approach has been demonstrated repeatedly in this paper. To solve such a complex problem, we proposed an approach which we have used advanced operators such as uniform crossover set and single point mutation. The proposed approach is applied to three preventive maintenance policies. These policies are intended to maximize the availability or to maintain a minimum level of reliability during the production chain. The results show that our algorithm outperforms existing algorithms. We assumed that the machines might be unavailable periodically during the production scheduling.},
	url = {https://publications.waset.org/abstracts/69375/an-improved-approach-based-on-mas-architecture-and-heuristic-algorithm-for-systematic-maintenance},
	author = {Abdelhadi Adel and Kadri Ouahab}
}
@article {4918,
	title = {Electrical faults detection for the intelligent diagnosis of a photovoltaic generator, ISSN / e-ISSN 1582-4594 / 1335-3632},
	journal = {Journal of Electrical Engineering},
	volume = {14},
	number = {1},
	year = {2017},
	abstract = {the work presented in this paper is dedicated to improving the methods of detection and diagnosis of faults affecting production systems, particularly photovoltaic systems. We proposed a new intelligent algorithm for the detection and diagnosis of PV installations, capable of detecting and resonate to define the type of defects that can affect this type of system. This new algorithm is based on the notion of pattern recognition, for that it is able to prepare the representation space and the decision space on the one hand, and on the other hand, the classification of all new observations collected during the functioning of the system. This algorithm mainly based on the method of knearest neighbor and two tools of artificial intelligence to improve this method and increasing the rate of its classification, which are fuzzy logic to optimize the location of the centers of gravity of classes and also the new observations, and the neural network that can classify the case of discharges ambiguity and releases distance which presents the limitations of the method of the k-nearest neighbor. We tested the performance of our algorithm on a database of a photovoltaic system at the research unit of GHARDAIA Algeria},
	url = {https://pdfs.semanticscholar.org/8d54/cc8ebdfc720b5d95cbb6d4238667874f8799.pdf},
	author = {Rezgui Wail and Mouss Leila Hayet and Mouss Med Djamel and Kadri Ouahab}
}
@article {4917,
	title = {Minimum redundancy\&ndash;Maximum relevance with extreme learning machines for global solar radiation forecasting: Toward an optimized dimensionality reduction for solar time series, ISSN 0038-032X},
	journal = {Solar Energy},
	volume = {Volume 158,},
	year = {2017},
	pages = {pp. 595-609},
	abstract = {Solar energy is expected to provide a major contribution to the future global energy supply, while helping the transition toward a carbon-free economy. Because of its variable character, its efficient use will necessitate trustworthy forecast information of its availability in a variety of spatial and time scales, depending on application. This study proposes a new forecasting approach for irradiance time series that combines mutual information measures and an Extreme Learning Machine (ELM). The method is referred to as Minimum Redundancy {\textendash} Maximum Relevance (MRMR). To assess the proposed approach, its performance is evaluated against four scenarios: long window (latest 50 variables), short window (latest 5 variables), standard Principal Components Analysis (PCA) and clear-sky model. All these scenarios are applied to three typical forecasting horizons (15-min ahead, 1-h ahead and 24-h ahead). Based on measured irradiance data from 20 sites representing a variety of climates, the test results reveal that the selection of a good set of relevant variables positively impacts the forecasting performance of global solar radiation. The present findings show that the proposed approach is able to improve the accuracy of solar irradiance forecasting compared to other proposed scenarios.},
	url = {https://www.sciencedirect.com/science/article/abs/pii/S0038092X17309052},
	author = {Bouzgou Hassen and Gueymard Christian}
}
@article {4916,
	title = {A Hybrid Approach for Complex Industrial Process Monitoring, ISSN / e-ISSN \&lrm;1748-5045 / 1748-5045},
	journal = {Journal of scientific and industrial research },
	volume = {Vol 76},
	number = {issue 10},
	year = {2017},
	pages = { pp. 608-613},
	abstract = {This study proposes a multi-agent system with several intelligences for complex industrial process monitoring. The suggested multi-agent system combines a set of techniques which are: multivariate control charts, neural networks, and Bayesian networks. The proposed approach has been evaluated on the TEP (Tennessee Eastman Process). The obtained results have been compared with set of methods that were applied to the Tennessee Eastman Process in the literature; our system performs better on the faults diagnosis.},
	url = {https://www.researchgate.net/publication/322694692_A_Hybrid_Approach_for_Complex_Industrial_Process_Monitoring},
	author = {Rezki Nafissa and Kazar Okba and Mouss Leila Hayet and Kahloul Laid}
}
@article {4915,
	title = {A novel approach for multivariate process monitoring using several intelligences, ISSN / e-ISSN \&lrm;1748-5045 / 1748-5045},
	journal = {International Journal of Industrial and Systems Engineering },
	volume = {Vol.26},
	number = {N{\textdegree}3},
	year = {2017},
	pages = { pp. 344-363},
	abstract = {This paper presents a multi-agent system for multivariate process monitoring. The proposed multi-agent system combines several intelligences which are: multivariate control charts, neural networks, Bayesian networks, and expert systems. This system aims to realise a complete control of complex industrial process. In order to demonstrate the efficiency of the proposed multi-agent system, it has been applied and evaluated in the monitoring of the complex process Tennessee Eastman process (TEP).},
	url = {https://www.researchgate.net/publication/317419686_A_novel_approach_for_multivariate_process_monitoring_using_several_intelligences},
	author = {Rezki Nafissa and Kazar Okba and Mouss Leila Hayet and Kahloul Laid}
}
@article {4914,
	title = { O.M-maintenance approach based on mobile agent technology, ISSN 1082-1910},
	journal = {International Journal of Operations and Quantitative Management},
	volume = {Vol.23},
	number = { N{\textdegree}1},
	year = {2017},
	pages = {pp. 1{\textendash}21},
	abstract = {This paper proposes an approach of mobile maintenance (m-maintenance) that aims is to reduce the maintenance cost and to overcome the unavailability of experts. The Condition-Based Maintenance strategy is chosen and a three-layered framework based on mobile agent technology and web services is proposed. To ensure the reliability, Petri Nets are used in order to formally model and verify the proposed approach. Agents are modeled and their behavior with Reconfigurable Object Nets formalism. A case study on a production line is conducted to evaluate the proposed approach using LabVIEW environment. Results provide evidence of the applicability of the model.},
	url = {https://www.researchgate.net/publication/311861545_M-Maintenance_Approach_Based_on_Mobile_Agent_Technology},
	author = {Abid Khadija and Mansour Ikbal and Cherifi Chantal and Mouss Leila Hayet}
}
@article {4913,
	title = {Formal approach based on petri nets using agent paradigm for m-maintenance, ISSN / e-ISSN 1757-8787 / 1757-8779},
	journal = { International Journal of Critical Computer-Based Systems },
	volume = {Vol 7},
	number = {N{\textdegree}1},
	year = {2017},
	pages = {pp. 91 - 117},
	abstract = {The long use of a system in a manufacturing environment causes its degradation, thus the maintenance activity is required in this environment to keep and to improve the efficiency of the system. The new development in networking technologies enhances maintenance strategies and gives birth to remote maintenance (tele-maintenance, e-maintenance, m-maintenance). This maintenance makes information available anywhere/anytime and provides maintenance-personnel with the necessary information at the suitable time. This new type of maintenance reduces the maintenance costs and solves the problem of the unavailability of experts. Mobile agent as a rich design concept brings many facilities in the development of m-maintenance, however few works are elaborated in this stage. The objective of this work is both: 1) the proposition of a based mobile multi-agent architecture dedicated for m-maintenance in manufacturing systems; 2) the exploitation of high level petri nets in the specification, simulation and verification phases of the architecture development.},
	url = {https://www.inderscienceonline.com/doi/abs/10.1504/IJCCBS.2017.084066},
	author = {Abid Khadija and Mouss Leila Hayet and Kazar Okba and Kahloul Laid}
}
@article {4912,
	title = {Fault diagnosis for a milk pasteurisation plant with missing data, ISSN / e-ISSN 1757-2185 / 1757-2177},
	journal = {International Journal of Quality Engineering and Technology},
	volume = {Vol 6},
	number = {3},
	year = {2017},
	pages = {pp. 123{\textendash}136},
	abstract = {This paper addresses the problem of fault diagnosis from observed data containing missing values amongst the inputs. In order to provide good classification accuracy for the decision function, a novel approach based on support vector machine and extreme learning machine is developed. SVM mixture model is used to model the data distribution, which is adapted to handle missing values, while extreme learning machine enables to devise a multiple imputation strategy for final estimation. In order to prove the efficiency of our proposed method, we have developed the classifier using the condition monitoring observations from milk pasteurisation data. The experiments show that the proposed algorithm gives improved results compared to recent methods, essentially if the number of missing data is significant. The results show that our approach can perfectly detect dysfunction, identify the fault, and is strong in unsupervised process monitoring.},
	url = {https://www.inderscience.com/info/inarticle.php?artid=88858},
	author = {Kadri Ouahab and Mouss Leila Hayet and Abdelhadi Adel}
}
@article {4911,
	title = {Identification and detection of the process fault in a cement rotary kiln by extreme learning machine and ant colony optimization, ISSN 1583-7904},
	journal = {Academic Journal of Manufacturing Engineering },
	volume = {Vol 15},
	number = {Issue 2},
	year = {2017},
	abstract = {The aim of this paper is to propose a new fault diagnosis method for complex manufacturing system. We have used an artificial neural network (ANN) and an Ant Colony Optimization (ACO) algorithm to diagnosis the condition monitoring of a rotary cement kiln. The Ant Colony algorithm can found a small features subset from the original real time signals and the Extreme Learning Machine (ELM) enables a good accuracy with a limiting learning time. Many benchmark datasets have used to evaluate the performances of our algorithm and the result indicates its higher efficiency and effectiveness comparing to other methods.},
	url = {https://www.researchgate.net/publication/318838061_Identification_and_detection_of_the_process_fault_in_a_cement_rotary_kiln_by_extreme_learning_machine_and_ant_colony_optimization},
	author = {Kadri Ouahab and Mouss Leila Hayet}
}
@article {4910,
	title = {Internet and fuzzy based control system for rotary kiln in cement manufacturing plant, ISSN / e-ISSN  1875-6883 / 1875-6891},
	journal = {International Journal of Computational Intelligence Systems},
	volume = {Vol 10},
	number = {issue 1},
	year = {2017},
	pages = {pp. 835{\textendash}850},
	abstract = {This paper develops an Internet-based fuzzy control system for an industrial process plant to ensure the remote and fuzzy control in cement factories in Algeria. The remote process consists of control, diagnosing alarms occurs, maintaining and synchronizing different regulation loops. Fuzzy control of the kiln ensures that the system be operational at all times, with minimal downtime. Internet technology ensures remote control. The system reduces downtimes and can guided by operators in the main control room or via Internet.},
	url = {https://www.atlantis-press.com/journals/ijcis/25874663},
	author = {Zermane Hanane and Mouss Leila Hayet}
}
@article {4909,
	title = { Development of an internet and fuzzy based control system of manufacturing process, ISSN / e-ISSN  1476-8186 / 1751-8520},
	journal = {International Journal of Automation and Computing volume },
	volume = {Vol 14},
	number = {Issue 6},
	year = {2017},
	pages = {pp. 706{\textendash}718},
	abstract = {The aim of this work is to develop an Internet and fuzzy based control and data acquisition system for an industrial process plant which can ensure remote running and fuzzy control of a cement factory. Cases studies of the proposed system application in three cement factories in Algeria, SCAEK (Setif), SCIMAT (Batna), and SCT (Tebessa), are discussed. The remote process control consists of alarms generated during running of the processes while maintaining and synchronizing different regulation loops thus ensuring automatic running of processes smoothly. In addition, fuzzy control of the kiln and the other two mills ensures that the system is operational at all times with minimal downtime. The process control system contains different operator station (OP), alarms table and a provision to monitor trends analysis. The operator can execute any operation according to his authorised access assigned by the system administrator using user administration tool. The Internet technology is used for human security by avoiding all times presence of operators at site for maintenance. Further, in case of a breakdown, the problem would be remotely diagnosed and resolved avoiding requirement of an expert on site thus eliminating traveling cost, security risks, visa formalities, etc. These trips are difficult to organize (costs, visas, risks). So the enterprise can reduce downtimes and travel costs. In order to realize a process control system guided by operators in the main control room or through Internet, the process control is based on programming in PCS 7 utilizing Cemat library and Fuzzy Control++ Siemens tools.},
	url = {https://link.springer.com/article/10.1007/s11633-016-1027-x},
	author = {Zermane Hanane and Mouss Leila Hayet}
}
@mastersthesis {6175,
	title = {Analyse d\&$\#$39;un syst{\`e}me job shop: aspect ordonnancement},
	year = {2016},
	author = {Driss Imen}
}
@mastersthesis {6173,
	title = {Optimisation des fonctions int{\'e}gr{\'e}es de production, de stockage et de distribution dans une chaine logistique},
	year = {2016},
	author = {Senoussi Ahmed}
}
@mastersthesis {6172,
	title = {{\'E}tude, mise en {\oe}uvre et adaptabilit{\'e} des outils de l\&rsquo;am{\'e}lioration continue dans une industrie alg{\'e}rienne : Approches Th{\'e}orique et Pratique},
	year = {2016},
	author = {Aoueg Hichem}
}
@mastersthesis {6171,
	title = {Mod{\'e}lisation de l\&$\#$39;{\'e}tat d\&$\#$39;un syst{\`e}me de production sur la base d\&$\#$39;une approche Bayesienne, Etude de cas: Entreprise Cotitex Batna},
	year = {2016},
	author = {Salima Zeghdani}
}
@mastersthesis {6170,
	title = {Utilisation d\&rsquo;une heuristique bas{\'e}e sur la recherche Tabou pour r{\'e}soudre le probl{\`e}me d\&rsquo;int{\'e}gration Production distribution},
	year = {2016},
	author = {Boutarfa Youcef}
}
@mastersthesis {6169,
	title = {Planification Int{\'e}gr{\'e}e de la production et de la distribution avec v{\'e}hicules pleins (Full truckload)},
	year = {2016},
	author = {Mammeri Walid}
}
@mastersthesis {6168,
	title = {Etude de la surveillabilit{\'e} d\&$\#$39;un syst{\`e}me},
	year = {2016},
	author = {Bouali Ikram and Benderraji  Ibtissem}
}
@mastersthesis {6167,
	title = {Maitrise du logiciel ARENA},
	year = {2016},
	author = {Boumedjane Wassim and Oudjhih Youcef}
}
@mastersthesis {6166,
	title = {l\&rsquo;int{\'e}gration du risque dans la planification de la production et gestion des op{\'e}rations},
	year = {2016},
	author = {Bezgrari Fairouz and Louanas Nedjma}
}
@mastersthesis {6165,
	title = {Contr{\^o}le statistique d\&$\#$39;un processus Six Sigma},
	year = {2016},
	author = {Helissi Billel and Bounecer Issam}
}
@mastersthesis {6093,
	title = {Etude de la surveillabilit{\'e} d\&rsquo;un syst{\`e}me},
	year = {2016},
	author = {Benderradji Ibtissem and Bouali Ikram}
}
@mastersthesis {6092,
	title = {Etude et am{\'e}lioration de l\&rsquo;algorithme de localisation DV-HOP dans un r{\'e}seau de capteur sans fil},
	year = {2016},
	author = {Belhadj Amina}
}
@mastersthesis {6091,
	title = {Mod{\`e}le math{\'e}matique et m{\'e}thaheuristique pour la r{\'e}solution d\&rsquo;un probl{\`e}me de lot sizing avec stock de s{\'e}curit{\'e}},
	year = {2016},
	author = {Messaoudi Bessam and Boutelis Taquiedinne}
}
@mastersthesis {6090,
	title = {Contr{\^o}le statistique d\&rsquo;un processus six sigma},
	year = {2016},
	author = {Bounecer Issame and Hellissi Billel}
}
@mastersthesis {6089,
	title = {Application des m{\'e}thodes et outils de pr{\'e}vision dans une situation incertaine : application {\`a} l\&rsquo;entreprise TRIFISOUD},
	year = {2016},
	author = {Djoumati Fouad and Sahraoui Rami}
}
@mastersthesis {6088,
	title = {Evaluation de la qualit{\'e} d\&$\#$39;un processus de conception par l\&rsquo;approche DFSS (Design For Six Sigma)},
	year = {2016},
	author = {Boukhenifra Aissa and Ghecham Karim}
}
@mastersthesis {6087,
	title = {La classification multicrit{\`e}re des perturbations par la m{\'e}thode AHP floue et la r{\'e}alisation d\&rsquo;une plate forme informatique},
	year = {2016},
	author = {Abdessemad Houria and Chaabane Hasma}
}
@mastersthesis {6086,
	title = {L\&rsquo;int{\'e}gration des approches AHP floue et MOORA floue dans les probl{\`e}mes de choix Application : Choix d\&rsquo;un site industriel au sein de la wilaya de Batna},
	year = {2016},
	author = {Boukricha Im{\`e}ne and Djari Nour-El-Im{\`e}ne}
}
@mastersthesis {6085,
	title = {Le Choix d\&rsquo;un Site Industriel Par La M{\'e}thode AHP floue et la r{\'e}alisation d\&rsquo;une plate Forme Informatique},
	year = {2016},
	author = {Khenatela Hassina and Kouda Imene}
}
@mastersthesis {6084,
	title = {R{\'e}solution des probl{\`e}mes de s{\'e}lection par les m{\'e}thodes multicrit{\`e}re dans un environnement flou et r{\'e}alisation d\&rsquo;une plateforme informatique},
	year = {2016},
	author = {Rebouh Nouha-rayane and Saidi Hadjer}
}
@mastersthesis {6081,
	title = {D{\'e}veloppent d\&$\#$39;une application de gestion du service Hospitalisation {\`a} Domicile (HAD) CHU Batna},
	year = {2016},
	author = {Belazoui Hayet}
}
@mastersthesis {6080,
	title = {Utilisation des outils LEAN dans la gestion des projets},
	year = {2016},
	author = {Meguellati Hocine and Bellachache Fares}
}
@mastersthesis {6079,
	title = {Evaluation des risques par la m{\'e}thode AHP Floue  -{\'e}tude de cas FILBA du textile},
	year = {2016},
	author = {Djehichi Samira}
}
@mastersthesis {6078,
	title = {Evaluation de la performance d\&rsquo;un syst{\`e}me de production bas{\'e} sur la valeur du risque.},
	year = {2016},
	author = {Benfifi Hassen}
}
@mastersthesis {6077,
	title = {Planification mixte production interne/sous-traitance dans une approche de maintenance int{\'e}gr{\'e}e.},
	year = {2016},
	author = {Bourouba Amor}
}
@book {6069,
	title = {La s{\'e}curit{\'e} sanitaire en {\'e}tablissements de sant{\'e}, ISBN-10 : 9783841672919 / ISBN-13 : 978-3841672919},
	year = {2016},
	pages = {236 pages},
	publisher = { {\'E}ditions universitaires europ{\'e}ennes },
	organization = { {\'E}ditions universitaires europ{\'e}ennes },
	abstract = {La maitrise des risques sanitaires est un souci majeur et permanent dans les {\'e}tablissements de sant{\'e}. L{\textquoteright}infection associ{\'e}e aux activit{\'e}s de soins est une cause majeure de morbidit{\'e} et de mortalit{\'e} dans ces {\'e}tablissements. Chez l{\textquoteright}insuffisant r{\'e}nal dialys{\'e}, elle serait responsable de l{\textquoteright}ordre de 15 \% des d{\'e}c{\`e}s. Afin de r{\'e}pondre {\`a} cet enjeu, les {\'e}tablissements de sant{\'e} utilisent une d{\'e}marche qui repose essentiellement sur les pratiques de l{\textquoteright}analyse des risques qui entre dans le cadre d{\textquoteright}une analyse plus globale de gestion des risques. Ces pratiques sont fond{\'e}es sur le principe d{\textquoteright}anticipation, bas{\'e} sur l{\textquoteright}identification et le traitement des risques possibles. Dans ce cas, il est pratiquement impossible de garantir l{\textquoteright}exhaustivit{\'e} des situations {\`a} risques, de m{\^e}me il est impossible d{\textquoteright}abandonner {\`a} l{\textquoteright}heure actuelle ces pratiques. C{\textquoteright}est pourquoi, pour une meilleure maitrise de ce type de risques, il est n{\'e}cessaire de consolider d{\textquoteright}avantage cette d{\'e}marche pr{\'e}ventive et minimiser ainsi les risques r{\'e}siduels. A cet effet une approche est propos{\'e}e, bas{\'e}e sur une strat{\'e}gie de pr{\'e}vention primaire continue, support{\'e}e par des m{\'e}canismes de contr{\^o}le et de surveillance des risques critiques.},
	url = {https://www.amazon.fr/s\%C3\%A9curit\%C3\%A9-sanitaire-\%C3\%A9tablissements-sant\%C3\%A9/dp/3841672914},
	author = {Benzouai Messaoud and Smadi Hacene}
}
@mastersthesis {6058,
	title = {Analyse des indicateurs n{\'e}cessaires au processus d\&rsquo;{\'e}valuation du software pour l\&rsquo;am{\'e}lioration de la qualit{\'e} du logiciel: Logiciel de gestion de l\&rsquo;{\'e}tat civil},
	year = {2016},
	author = {Ourlis Lazhar}
}
@mastersthesis {6047,
	title = {Int{\'e}gration et informatisation d\&rsquo;un syst{\`e}me HACCP dans un syst{\`e}me de management de la s{\'e}curit{\'e} des denr{\'e}es alimentaires (ISO 22000): Etude de cas\&raquo;},
	year = {2016},
	author = {Taouririt Kamel}
}
@mastersthesis {6046,
	title = {Mesure du capital intellectuel d\&rsquo;un syst{\`e}me de production},
	year = {2016},
	author = {Brahmi Samira}
}
@mastersthesis {6005,
	title = {Contr{\^o}le statistique d\&rsquo;un processus six sigma, Option},
	year = {2016},
	author = {Bounecer Issame and Hellissi Billel}
}
@mastersthesis {6004,
	title = {Application des m{\'e}thodes et outils de pr{\'e}vision dans une situation incertaine : application {\`a} l\&rsquo;entreprise TRIFISOUD, Master en G{\'e}nie Industriel},
	year = {2016},
	author = {Djoumati Fouad and Sahraoui Rami}
}
@mastersthesis {6003,
	title = {Evaluation de la qualit{\'e} d\&$\#$39;un processus de conception par l\&rsquo;approche DFSS (Design For Six Sigma)},
	year = {2016},
	author = {Boukhenifra Aissa and Ghecham Karim}
}
@mastersthesis {5967,
	title = {Optimisation de la maintenance centr{\'e}e sur la fiabilit{\'e}},
	year = {2016},
	author = {Saidi Ahlem and Megri Soumia}
}
@mastersthesis {5966,
	title = {Calcul des aspects FMD d\&$\#$39;une chaine de production compos{\'e}e},
	year = {2016},
	author = {Halkoum Selma and Ghenai Hind}
}
@mastersthesis {5965,
	title = {Planification des travaux de maintenance},
	year = {2016},
	author = {Omeiri Fatima and Khenatela Hadjer}
}
@mastersthesis {5964,
	title = {D{\'e}veloppement d\&$\#$39;une application de Gestion de la Maintenance Assist{\'e}e par Ordinateur},
	year = {2016},
	author = {Farah Hani}
}
@mastersthesis {5963,
	title = {Syst{\`e}me {\`a} Base de Connaissances pour la Supervision d\&rsquo;un Syst{\`e}me Industriel},
	year = {2016},
	author = {DAhmani Chahinez and Kebi Samia}
}
@mastersthesis {5962,
	title = {Conception d\&rsquo;une interface graphique pour la surveillance d\&rsquo;un syst{\`e}me industriel},
	year = {2016},
	author = {Fatah Imene}
}
@mastersthesis {5961,
	title = {Evitement d\&rsquo;obstacles par un robot},
	year = {2016},
	author = {Batache EL-Djemai and Bouhentala Houssem-Eddine}
}
@mastersthesis {5960,
	title = {Analyse de la fiabilit{\'e} par les lois probabilistes},
	year = {2016},
	author = {Boumella Houssem-Eddine}
}
@mastersthesis {5939,
	title = {Mesure du Capital Intellectuel d\&rsquo;un syst{\`e}me de Production},
	year = {2016},
	author = {Brahimi Samia}
}
@mastersthesis {5934,
	title = {Proposition d\&rsquo;un syst{\`e}me de supervision industrielle : Approche Intelligence Artificielle},
	year = {2016},
	author = {Bouhafna Khetreddine}
}
@mastersthesis {5933,
	title = {Diagnostic des pannes bas{\'e} sur une approche bayesienne},
	year = {2016},
	author = {Mammeri Walid}
}
@mastersthesis {5932,
	title = {Optimisation des Mesures de la s{\^u}ret{\'e} de Fonctionnement au niveau de l\&rsquo;ON Batna},
	year = {2016},
	author = {Noune Med-Said}
}
@mastersthesis {5860,
	title = {Impact du diagnostic sur la performance d\&$\#$39;un syst{\`e}me logistique : cas pratique},
	year = {2016},
	author = {Aksa Abdeljalil and Oulmi Sami}
}
@mastersthesis {5859,
	title = {{\'E}tude m{\'e}thodologique de syst{\`e}me H-M dans un processus industriel : {\'e}tude de cas \&quot;Entreprise SARL BENPLK  Batna},
	year = {2016},
	author = {Dendouga  Ibtissem}
}
@mastersthesis {5858,
	title = {Approche m{\'e}thodologique de diagnostic d\&$\#$39;un syst{\`e}me industriel},
	year = {2016},
	author = {Laggoune Serhane}
}
@mastersthesis {5857,
	title = {Syst{\`e}me {\`a} Base de Connaissances pour la Supervision d\&rsquo;un Syst{\`e}me Industriel},
	year = {2016},
	author = {Dahmanli Chahinez and Kebi Samia}
}
@mastersthesis {5856,
	title = {conception d\&rsquo;une interface graphique pour la surveillance d\&rsquo;un syst{\`e}me industriel},
	year = {2016},
	author = {Farah Imene}
}
@mastersthesis {5855,
	title = {Am{\'e}lioration des performances d\&rsquo;une chaine logistique par l\&rsquo;utilisation de l\&rsquo;approche benchmarking \&laquo; {\'e}tude pratique chark pharme et mac-pharme \&raquo;},
	year = {2016},
	author = {Zerguine Lilia and Mahar Zohra}
}
@mastersthesis {5854,
	title = {Am{\'e}lioration de la s{\'e}lection des fournisseurs dans le secteur hospitali{\`e}re par la m{\'e}thode AHP},
	year = {2016},
	author = {Dalale Mohra and Laidoune Laidoune}
}
@mastersthesis {5853,
	title = {Transfert du contr{\^o}le anti-incendie des b{\^a}timents duTrain 1 au champ BRN vers un automate de s{\'e}curit{\'e} TRICONEX V9},
	year = {2016},
	author = {Benidir Abderrazak}
}
@mastersthesis {5852,
	title = {Etude d\&rsquo;un R{\'e}seau Local Industriel sans fil Wireless HART},
	year = {2016},
	author = {Messaoudi Mohamed and Benkhemiss Yasser Benkhemis}
}
@mastersthesis {5851,
	title = {Conception et r{\'e}alisation d\&rsquo;une application GMAO au profit de l\&rsquo;Agence Commerciale des T{\'e}l{\'e}coms (ACTEL) de Batna},
	year = {2016},
	author = {Benflis Fatima and Louai  Wissam}
}
@mastersthesis {5850,
	title = {Mise en {\oe}uvre d\&$\#$39;une m{\'e}thode d\&rsquo;ordonnancement multi-objectif d\&$\#$39;ateliers agroalimentaires},
	year = {2016},
	author = {Sqhli Amel and Benyamina Sara}
}
@mastersthesis {5849,
	title = {Design and implementation of text summarization},
	year = {2016},
	author = {Yaha Asma}
}
@mastersthesis {5810,
	title = {Conception d\&rsquo;un syst{\`e}me expert pour la d{\'e}tection en temps r{\'e}el des fautes d\&$\#$39;un syst{\`e}me de compression de gaz},
	year = {2016},
	author = {Chabbi Abdeldjalil}
}
@mastersthesis {5809,
	title = {Syst{\`e}me Intelligent d\&rsquo;aide a la d{\'e}cision pour le pilotage d\&rsquo;un processus de forage p{\'e}trolier},
	year = {2016},
	author = {Rezki Djamil}
}
@mastersthesis {5798,
	title = {Etude comparative des heuristiques d\&$\#$39;ordonnancement d\&$\#$39;atelier Flow Shop de permutation},
	year = {2016},
	author = {Haidoussi Imen}
}
@mastersthesis {5797,
	title = {Contribution {\`a} l\&$\#$39;ordonnancement Juste-{\`a}-temps des machines parall{\`e}les {\`a} l\&$\#$39;aide des algorithmes {\'e}volutionnaires},
	year = {2016},
	author = {Djebaili Nassima}
}
@mastersthesis {5796,
	title = {Base de connaissances pour la mod{\'e}lisation d\&$\#$39;un syst{\`e}me industriel},
	year = {2016},
	author = {Kebi Samia and DAhmani Chahinez}
}
@mastersthesis {5787,
	title = {Optimisation d\&$\#$39;une chaine d\&$\#$39;assemblage flexible {\`a} l\&$\#$39;aide des colonies de fourmis},
	year = {2016},
	author = {Djabali Alima}
}
@mastersthesis {5786,
	title = {D{\'e}veloppement d\&rsquo;une plateforme pour le contr{\^o}le d\&rsquo;un syst{\`e}me de production par LabVIEW},
	year = {2016},
	author = {Zerguine Khouloud et and Bouhraoua Imene}
}
@mastersthesis {5785,
	title = {Probl{\'e}matiques des Syst{\`e}mes Multi-Agent},
	year = {2016},
	author = {Amrane Sendess and Azzeddine Hayet}
}
@mastersthesis {5784,
	title = {Conception et r{\'e}alisation d\&$\#$39;un appareil industriel utilisant Arduino},
	year = {2016},
	author = {Ouchen Sarra and Benziane Abderrahmene}
}
@mastersthesis {5783,
	title = {Transform{\'e}e de Hough. Etude et Applications},
	year = {2016},
	author = {Djebaili Chahrazed}
}
@mastersthesis {5782,
	title = {Contribution {\`a} l\&$\#$39;ordonnancement robuste des blocs op{\'e}ratoires {\`a} l\&$\#$39;aide des algorithmes g{\'e}n{\'e}tiques},
	year = {2016},
	author = {Mekdade Abir}
}
@mastersthesis {5767,
	title = {Solar Radiation Forecasting using LSTMs},
	year = {2016},
	author = {Ghodbane Roumaissa}
}
@mastersthesis {5766,
	title = {Identification, Modeling and Control of the Mobile Robot\&rsquo;s Speed},
	year = {2016},
	author = {Bouzghaia Anouar}
}
@mastersthesis {5765,
	title = {D{\'e}tection des spams par r{\'e}seaux de neurones artificiels},
	year = {2016},
	author = {Hadjidj Dhiyaeeddine}
}
@mastersthesis {5764,
	title = {Mod{\'e}lisation des S{\'e}ries temporelles par les processus Autor{\'e}gressifs : Application {\`a} la pr{\'e}diction de la consommation {\'e}lectrique},
	year = {2016},
	author = {Kharchi Ilyes}
}
@mastersthesis {5763,
	title = {Pr{\'e}diction de la vitesse du vent par la technique de BaggingExtreme Learning Machines},
	year = {2016},
	author = {Benharira Riadh}
}
@mastersthesis {5733,
	title = {Vers la classification des bases de donn{\'e}es de grande dimension par l\&rsquo;application d\&rsquo;ELM},
	year = {2016},
	author = {Zeroual Salima}
}
@mastersthesis {5732,
	title = {D{\'e}veloppement d\&$\#$39;une plateforme pour le contr{\^o}le flou en temps r{\'e}el d\&$\#$39;un syst{\`e}me de production},
	year = {2016},
	author = {Zerguine Khouloud and Bouhraoua Imene}
}
@mastersthesis {5731,
	title = {R{\'e}seaux de neurones pour la surveillance d\&rsquo;un syst{\`e}me de production par LabVIEW},
	year = {2016},
	author = {Djebbari Wissem}
}
@mastersthesis {5730,
	title = {Programmation par Agent et simulation d\&$\#$39;un syst{\`e}me de fabrication flexible Master en G{\'e}nie Industriel option},
	year = {2016},
	author = {Amrane Soumiya and Azzeddine Hayet}
}
@mastersthesis {5729,
	title = {D{\'e}veloppement d\&rsquo;une application client/serveur pour la cr{\'e}ation des dossiers m{\'e}dicaux pour une entreprise (cas SCIMAT)},
	year = {2016},
	author = {Benflis Feriel}
}
@mastersthesis {5728,
	title = {R{\'e}alisation d\&rsquo;un bras robotique utilisant Arduino},
	year = {2016},
	author = {Ouchen Sara and Beziane Hibat Arrahemane}
}
@mastersthesis {5727,
	title = {Fuzzy control of a bag house of cement factory using LabVIEW},
	year = {2016},
	author = {Hemal Salim and Oulmi Tarek}
}
@proceedings {5171,
	title = {Contribution {\`a} la Pr{\'e}vision a Base d\&rsquo;Analyse Stochastique Multicrit{\`e}re Participative, des Performances d\&rsquo;un Syst{\`e}me de production Industriel},
	journal = {JD{\textquoteright}2016 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2016},
	author = {Bouhidel lynda}
}
@proceedings {5170,
	title = {Techniques d\&rsquo;Am{\'e}lioration de la Tra{\c c}abilit{\'e} pour l\&rsquo;Optimisation d\&rsquo;une Cha{\^\i}ne Logistique},
	journal = {JD{\textquoteright}2016 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2016},
	author = {Smaili Yamina}
}
@proceedings {5169,
	title = {Un Syst{\`e}me d\&rsquo;aide {\`a} la d{\'e}cision appliqu{\'e} au GPS pilot{\'e} par la voix humaine \&laquo; cas de distribution de produits \&raquo;},
	journal = {JD{\textquoteright}2016 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2016},
	author = {Guezzouli L}
}
@proceedings {5168,
	title = {L\&rsquo;optimisation de l\&rsquo;extension d\&rsquo;un probl{\`e}me d\&rsquo;ordonnancement classique},
	journal = {JD{\textquoteright}2016 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2016},
	author = {Boukelkoul Z}
}
@proceedings {5167,
	title = {Lot-sizing de plusieurs produits sur plusieurs lignes de production avec fen{\^e}tres de temps sur la production et sur les demandes},
	journal = {JD{\textquoteright}2016 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2016},
	author = {Semassel O}
}
@proceedings {5166,
	title = {Am{\'e}lioration du probl{\`e}me de lot Sizing : Consid{\'e}rations Humaines et environnementales},
	journal = {JD{\textquoteright}2016 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2016},
	author = {Laggoun Assia}
}
@proceedings {5165,
	title = {Lot-sizing avec optimisation des profits (\&quot;revenue management\&quot;).},
	journal = {JD{\textquoteright}2016 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2016},
	author = {Boutarfa Youcef}
}
@proceedings {5164,
	title = {Probl{\`e}me de planification de la production avec coordination et recyclage},
	journal = {JD{\textquoteright}2016 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2016},
	author = {Mammeri Walid}
}
@proceedings {5163,
	title = {Int{\'e}gration des probl{\`e}mes de lot Sizing et d\&rsquo;ordonnancement dans les ateliers type Flow Shop},
	journal = {JD{\textquoteright}2016 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2016},
	author = {Belbedj Farid}
}
@proceedings {5162,
	title = {L\&rsquo;apport des r{\'e}seaux d\&rsquo;automates stochastiques pour la mod{\'e}lisation et l\&rsquo;{\'e}valuation des performances des syst{\`e}mes de production a grand espace d\&rsquo;{\'e}tat},
	journal = {JD{\textquoteright}2016 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2016},
	author = {Belferhi Amor}
}
@book {5158,
	title = {Mise en {\oe}uvre des outils de l\&rsquo;am{\'e}lioration continue avec cas pratiques, ISBN-13: 978-3-8416-6281-1 ISBN-10: 3841662811},
	year = {2016},
	pages = {260 pages},
	publisher = {Editions universitaires europ{\'e}ennes},
	organization = {Editions universitaires europ{\'e}ennes},
	abstract = {La recherche de l{\textquoteright}excellence industrielle est devenue aujourd{\textquoteright}hui une condition essentielle de survie pour l{\textquoteright}entreprise. Dans un environnement exigeant et concurrentiel, les entreprises doivent donc chercher en permanence {\`a} renforcer leur comp{\'e}titivit{\'e}. La r{\'e}alisation de cet objectif n{\'e}cessite le recours aux outils d{\textquoteright}am{\'e}lioration continue qui visent {\`a} booster la comp{\'e}titivit{\'e} et la performance des entreprises par le tryptique\&nbsp;: r{\'e}duction des couts, am{\'e}lioration de la qualit{\'e} et diminution des d{\'e}lais. Cet ouvrage se fixe pour objectif d{\textquoteright}appliquer l{\textquoteright}un des outils de l{\textquoteright}am{\'e}lioration continue, en l{\textquoteright}occurrence la d{\'e}marche six sigma, aux processus de fabrication d{\textquoteright}une cimenterie alg{\'e}rienne (SCIMAT) et d{\textquoteright}une entreprise de fabrication de bouteilles {\`a} gaz (B.A.G).},
	url = {https://www.morebooks.de/store/gb/book/mise-en-\%C5\%93uvre-des-outils-de-l\%E2\%80\%99am\%C3\%A9lioration-continue-avec-cas-pratiques/isbn/978-3-8416-6281-1},
	author = {Mechenene Athmane and Aouag Hichem}
}
@book {5157,
	title = {Mise en {\oe}uvre des outils de l\&rsquo;am{\'e}lioration continue avec cas pratiques, ISBN-13: 978-3-8416-6281-1  ISBN-10: 3841662811},
	year = {2016},
	pages = {260},
	publisher = {Editions universitaires europ{\'e}ennes},
	organization = {Editions universitaires europ{\'e}ennes},
	abstract = {La recherche de l{\textquoteright}excellence industrielle est devenue aujourd{\textquoteright}hui une condition essentielle de survie pour l{\textquoteright}entreprise. Dans un environnement exigeant et concurrentiel, les entreprises doivent donc chercher en permanence {\`a} renforcer leur comp{\'e}titivit{\'e}. La r{\'e}alisation de cet objectif n{\'e}cessite le recours aux outils d{\textquoteright}am{\'e}lioration continue qui visent {\`a} booster la comp{\'e}titivit{\'e} et la performance des entreprises par le tryptique\&nbsp;: r{\'e}duction des couts, am{\'e}lioration de la qualit{\'e} et diminution des d{\'e}lais. Cet ouvrage se fixe pour objectif d{\textquoteright}appliquer l{\textquoteright}un des outils de l{\textquoteright}am{\'e}lioration continue, en l{\textquoteright}occurrence la d{\'e}marche six sigma, aux processus de fabrication d{\textquoteright}une cimenterie alg{\'e}rienne (SCIMAT) et d{\textquoteright}une entreprise de fabrication de bouteilles {\`a} gaz (B.A.G).},
	url = {https://www.morebooks.de/store/gb/book/mise-en-\%C5\%93uvre-des-outils-de-l\%E2\%80\%99am\%C3\%A9lioration-continue-avec-cas-pratiques/isbn/978-3-8416-6281-1},
	author = {Mechenene Athmane and Aouag Hichem}
}
@article {5145,
	title = {Outsourcing optimization in two-echelon supply chain network under integrated production-maintenance constraints, ISSN /e-ISSN 0268-3768 / 1433-3015},
	journal = {Journal of Intelligent Manufacturing },
	volume = {Vol 30},
	number = {Issue 2},
	year = {2016},
	pages = {701{\textendash}725},
	abstract = {In this paper, we study a two-echelon supply chain network consisting of multi-outsourcers and multi-subcontractors. Each one is composed of a failure-prone production unit that produces a single product to fulfil market demands with variable production rates. Sometimes the manufacturing systems are not able to satisfy demand; in this case, outsourcing option is adopted to improve the limited in-house production capacity. The outsourcing is not justified by the production lack of manufacturing systems, but is also considered for the costs minimization issues. In the considered problem, we assume that the failure rate is dependent on the time and production rate. Preventive maintenance activities can be conducted to mitigate the deterioration effects, and minimal repairs are performed when unplanned failures occurs. We consider that the production cost depends on the rate of the machine utilization. The aim of this research is to propose a joint policy based on a mixed integer programming formulation to balance the trade-off between two-echelon of supply chain. We seek to assist outsourcers to determine the integrated in-house/ outsourcing, and maintenance plans, and the subcontractors to determine the integrated production-maintenance plans so that the benefit of the supply chain is maximized over a finite planning horizon. We develop an improved optimization procedure based on the genetic algorithms, and we discuss and conduct computational experiments to study the managerial insights for the developed framework.},
	url = {https://link.springer.com/article/10.1007/s10845-016-1273-3},
	author = {Haoues Mohammed and Dahane Mohammed and Mouss Nadia Kenza}
}
@proceedings {5134,
	title = {Measuring intellectual capital of an organization},
	journal = {Advances in automotive technologies},
	year = {2016},
	author = {Brahmi Samira}
}
@proceedings {5093,
	title = {Mod{\'e}lisation et {\'e}valuation des performances des syst{\`e}mes logistiques},
	journal = {JD{\textquoteright}2017 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2016},
	author = {Arrar Nacereddine}
}
@proceedings {5092,
	title = {Am{\'e}lioration du processus de capitalisation et de partage des connaissances pour la maximisation de la valeur d\&rsquo;un syst{\`e}me de production},
	journal = {JD{\textquoteright}2016 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2016},
	author = {Titah Mawloud}
}
@proceedings {5091,
	title = {Conception et d{\'e}ploiement des syst{\`e}mes de gestion de donn{\'e}es techniques dans l\&rsquo;ing{\'e}nierie de production},
	journal = {JD{\textquoteright}2016 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2016},
	author = {Tkouti Sami}
}
@proceedings {5090,
	title = {Optimisation de la navigation autonome d\&rsquo;un robot dans un espace de travail Industriel},
	journal = {JD{\textquoteright}2016 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2016},
	author = {Medgrou Aicha}
}
@proceedings {5089,
	title = {Implantation d\&rsquo;une GMAO dans un syst{\`e}me de production pour l\&rsquo;am{\'e}lioration de la performance de l\&rsquo;entreprise},
	journal = {JD{\textquoteright}2016 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2016},
	author = {Belhoul Haroun}
}
@proceedings {5088,
	title = {La politique de Suret{\'e} de Fonctionnement dans les syst{\`e}mes industriels : Application aux stations d\&rsquo;{\'e}puration dites STEP},
	journal = {JD{\textquoteright}2016 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2016},
	author = {NOUNE Med Said}
}
@proceedings {5087,
	title = {Contribution {\`a} l\&rsquo;utilisation des r{\'e}seaux d\&rsquo;achat Electroniques (e-sourcing) en vue de l\&rsquo;optimisation des structures d\&rsquo;approvisionnements de l\&rsquo;alg{\'e}rienne des textiles},
	journal = {JD{\textquoteright}2016 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2016},
	author = {AMEUR Zouina}
}
@proceedings {5086,
	title = {Approche de l\&rsquo;usine intelligente dans l\&rsquo;industrie 4.0, en utilisant le concept d\&rsquo;internet objets},
	journal = {JD{\textquoteright}2016 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2016},
	author = {Bouhafna Kheyreddine}
}
@proceedings {5082,
	title = {New fuzzy-Based Process Control System for a bag filter of a cement factory},
	journal = { ICAAT International Conference on Advances in Automotive Technologies Istanbul, Turkey},
	year = {2016},
	url = { http://www.aat2016conference.com/},
	author = {Zermane Hanane}
}
@proceedings {5081,
	title = {Fuzzy Control of a Baghouse for Emission System in a Cement Factory using LabVIEW},
	journal = { ICAAT International Conference on Advances in Automotive Technologies Istanbul, Turkey},
	year = {2016},
	url = { http://www.aat2016conference.com/},
	author = {Zermane Hanane}
}
@proceedings {5062,
	title = {Measuring intellectual capital of an organization},
	journal = {International Conference on Advances in Automotive Technologies 11-14 Octobre Turkey},
	year = {2016},
	pages = {53-53},
	url = {https://conferencealerts.com/show-event?id=170556},
	author = {Aitoche Samia}
}
@article {5037,
	title = {Fault Diagnosis of Manufacturing Systems Using AntTreeStoch with Parameter Optimization by ACO, ISSN / e-ISSN  1738-494X / 1976-3824},
	journal = {J MECH SCI TECHNOL},
	year = {2016},
	abstract = {
	In this paper, we propose diagnostic modules for complex and dynamic systems. These modules are based on three ant colony algorithms, which are AntTreeStoch, Lumer \&amp; Faieta and Binay ant colony. We chose these algorithms for their simplicity and their wide application range. However, we cannot use these algorithms in their basement forms as they have several limitations. To use these algorithms in a diagnostic system, we have proposed three variants. We have tested these algorithms on datasets issued from two industrial systems which are clinkering system and pasteurization system.

},
	url = {https://www.semanticscholar.org/paper/Fault-Diagnosis-of-Manufacturing-Systems-Using-with-Kadri-Mouss/01cea502034f7b8f0ed9a1e79c4ac927afa245b6$\#$paper-header},
	author = {Kadri Ouahab and Mouss Leila Hayet and Mouss Med Djamel}
}
@proceedings {4994,
	title = {Exploration du Potentiel de la Vision Artificielle pour la Reconnaissance d\&rsquo;Objets dans une image dans un Contexte Industriel},
	journal = {JD{\textquoteright}2016  Journ{\'e}es des doctorants 14 Octobre  Batna, Alg{\'e}rie},
	year = {2016},
	author = {Bellal Salah Eddine}
}
@proceedings {4993,
	title = {Conception d\&$\#$39;un syst{\`e}me d\&rsquo;aide {\`a} la maintenance collaborative bas{\'e}e sur la r{\'e}alit{\'e} mixte},
	journal = {JD{\textquoteright}2016  Journ{\'e}es des doctorants 14 Octobre  Batna, Alg{\'e}rie},
	year = {2016},
	author = {Hamidene Rabie}
}
@proceedings {4992,
	title = {Contribution {\`a} la mise en place d\&rsquo;une solution distribu{\'e}e intelligente pour le choix d\&rsquo;une technique d\&rsquo;ordonnancement ad{\'e}quate},
	journal = {JD{\textquoteright}2016  Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2016},
	author = {Abdessamed Ahmed Adnane}
}
@proceedings {4991,
	title = {Strat{\'e}gie de la Supervision Industrielle pour la Conduite d\&rsquo;un Syst{\`e}me de Production Complexe : Vers une architecture Centralis{\'e}e},
	journal = {JD{\textquoteright}2016  Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2016},
	author = {Benaicha Sonia}
}
@proceedings {4990,
	title = {Pronostic industriel distribu{\'e} des syst{\`e}mes complexes {\`a} base d\&rsquo;agents},
	journal = {JD{\textquoteright}2016  Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2016},
	author = {Benaggoune Khaled}
}
@proceedings {4989,
	title = {Impact du diagnostic sur l\&rsquo;{\'e}valuation des performances d\&rsquo;un syst{\`e}me dynamique tol{\'e}rant aux fautes},
	journal = {JD{\textquoteright}2016  Journ{\'e}es des doctorants 14 Octobre  Batna, Alg{\'e}rie},
	year = {2016},
	author = {Kebbas Med Salah}
}
@proceedings {4988,
	title = {Conception d\&rsquo;un outil informatique pour l\&rsquo;analyse et le traitement de param{\`e}tres d{\'e}livr{\'e}s par un {\'e}quipement en vu de diagnostiquer les d{\'e}fauts},
	journal = {JD{\textquoteright}2016  Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2016},
	author = {Zaid Ammar}
}
@proceedings {4987,
	title = {Une plate-forme e-maintenance par les syst{\`e}mes Immunitaire Artificiels},
	journal = {JD{\textquoteright}2016  Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2016},
	author = {Haboussi Ammar}
}
@proceedings {4986,
	title = {D{\'e}veloppement de m{\'e}thodes hybrides pour le pronostic des syst{\`e}mes de production},
	journal = {JD{\textquoteright}2016  Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2016},
	author = {Bouznita Mohammed}
}
@proceedings {4985,
	title = {Syst{\`e}me intelligent d\&$\#$39;aide {\`a} la d{\'e}cision pour la pr{\'e}diction et l\&$\#$39;optimisation des param{\`e}tres d\&$\#$39;un forage p{\'e}trolier},
	journal = {JD{\textquoteright}2016  Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2016},
	author = {Rezki Djamil}
}
@proceedings {4984,
	title = {Vers un pronostic de d{\'e}faillances des syst{\`e}mes dynamiques complexes par les Bond Graphs},
	journal = {JD{\textquoteright}2016  Journ{\'e}es des doctorants 25 \& 26 Octobre Batna, Alg{\'e}rie},
	year = {2016},
	author = {Mebarki Nassima}
}
@proceedings {4983,
	title = {Syst{\`e}me de Poursuite d\&rsquo;objets {\`a} base de la vision 3D. 1{\`e}re Journ{\'e}es des doctorants},
	journal = {JD{\textquoteright}2016  Journ{\'e}es des doctorants 25 \& 26 Octobre Batna, Alg{\'e}rie},
	year = {2016},
	author = {Rahmani Abdellah}
}
@proceedings {4982,
	title = { Une nouvelle approche pour la s{\'e}curit{\'e} des Syst{\`e}mes de Contr{\^o}le et d\&$\#$39;Acquisition de Donn{\'e}es SCADA},
	journal = {JD{\textquoteright}2016  Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2016},
	author = {Guettafi Salah}
}
@proceedings {4968,
	title = {New fuzzy-Based Process Control System for a bag filter of a cement factory},
	journal = { ICAAT International Conference on Advances in Automotive Technologies Istanbul, Turkey},
	year = {2016},
	url = { http://www.aat2016conference.com/},
	author = {Hanane Zermane}
}
@proceedings {4967,
	title = {Fuzzy Control of a Baghouse for Emission System in a Cement Factory using LabVIEW},
	journal = { ICAAT International Conference on Advances in Automotive Technologies Istanbul, Turkey},
	year = {2016},
	url = {http://www.aat2016conference.com/},
	author = {Zermane Hanane}
}
@conference {4935,
	title = {Using several intelligences for complex industrial process monitoring: Detection and diagnosis},
	booktitle = {IOEM 2016 International Conference on Industrial Engineering and Operations Management At Kuala Lumpur, Malaysia },
	volume = {Volume 6},
	year = {2016},
	abstract = {
	The objective of the current paper is to present an intelligent system for complex process monitoring, based on 



	artificial intelligence technologies. This system aims to realise with success some complex process monitoring tasks that are:



	detection, diagnosis. For this purpose, the development of a multi-agent system that combines multiple intelligences such as:



	multivariate control charts, neural networks, has became a necessary. The proposed system is evaluated in the monitoring of the



	complex process Tennessee Eastman Process. 

},
	url = {https://www.researchgate.net/publication/299510304_Using_several_intelligences_for_complex_industrial_process_monitoring_detection_and_diagnosis},
	author = {Rezki Nafissa}
}
@proceedings {4934,
	title = {Development of an internet-based fuzzy control system of manufacturing plant},
	journal = {IOEM 2016 International Conference on Industrial Engineering and Operations Management, Kuala Lumpur, Malaysia },
	year = {2016},
	url = {http://ieomsociety.org/program_ieom_2016.pdf},
	author = {Zermane Hanane}
}
@conference {4932,
	title = {Fault Diagnosis of Manufacturing Systems Using AntTreeStoch with Parameter Optimization by ACO, ISSN / e-ISSN  2157-362X / 2157-3611},
	booktitle = { ICIEM 2016 : 18th International Conference on Industrial Engineering and Management, Barcelona, Spain},
	year = {2016},
	abstract = {In this paper, we propose diagnostic modules for complex and dynamic systems. These modules are based on three ant colony algorithms, which are AntTreeStoch, Lumer \&amp; Faieta and Binay ant colony. We chose these algorithms for their simplicity and their wide application range. However, we cannot use these algorithms in their basement forms as they have several limitations. To use these algorithms in a diagnostic system, we have proposed three variants. We have tested these algorithms on datasets issued from two industrial systems which are clinkering system and pasteurization system.},
	url = {https://www.researchgate.net/publication/285578275_Fault_Diagnosis_of_Manufacturing_Systems_Using_AntTreeStoch_with_Parameter_Optimization_by_ACO},
	author = {Kadri Ouahab}
}
@proceedings {4931,
	title = {Kernel Principal Components Analysis with Extreme Learning Machines for Wind Speed Prediction.},
	journal = { IREC2016 Seventh International Renewable Energy Congress},
	year = {2016},
	abstract = {Nowadays, wind power andprecise forecasting are of great importancefor the development ofmodern electricalgrids.In this paperwepropose aprediction systemfor time seriesbased onKernelPrincipalComponent Analysis(KPCA) andExtremeLearningMachine(ELM). To compare the proposed approach, threedimensionality reduction techniques were used:full space (50 variables), part of space (last four variables) and classical Principal Components Analysis (PCA). These models were compared using three evaluation criteria: mean absoluteerror (MAE), root mean squareerror (RMSE), and normalizedmean square error (NMSE). The results show that the reduction of the original input space affectspositively the prediction output of the wind speed.Thus,It can be concluded that the non linear model (KPCA)model outperform the other reduction techniques in terms of prediction performance.},
	url = {https://hal.inria.fr/hal-01394000/document},
	author = {Mezache Hatem}
}
@article {4923,
	title = { An Efficient Hybrid Approach Based on Multi-Agent System and Emergence Method for the Integration of Systematic Preventive Maintenance Policies, ISSN 2279-0764},
	journal = {IJCIE International Journal of Computer and Information Engineering},
	volume = { Vol 3},
	number = {N{\textdegree}4},
	year = {2016},
	abstract = {This paper proposes a novel hybrid algorithm for the integration of systematic preventive maintenance policies in hybrid flow shop scheduling to minimize makespan. We have implemented a problem-solving approach for optimizing the processing time, methods based on metaheuristics. The proposed approach is inspired by the behavior of the human body. This hybridization is between a multi-agent system and inspirations of the human body, especially genetics. The effectiveness of our approach has been demonstrated repeatedly in this paper. To solve such a complex problem, we proposed an approach which we have used advanced operators such as uniform crossover set and single point mutation. The proposed approach is applied to three preventive maintenance policies. These policies are intended to maximize the availability or to maintain a minimum level of reliability during the production chain. The results show that our algorithm outperforms existing algorithms. We assumed that the machines might be unavailable periodically during the production scheduling.},
	url = {https://www.researchgate.net/publication/303858216_An_Efficient_Hybrid_Approach_Based_on_Multi-Agent_System_and_Emergence_Method_for_the_Integration_of_Systematic_Preventive_Maintenance_Policies},
	author = {Abdelhadi Adel and Kadri Ouahab}
}
@article {4922,
	title = {Toolbox Supports Group Awareness In Groupware, ISSN 1583-7165},
	journal = { Annals. Computer Science Series.},
	year = {2016},
	pages = {pp. 117-122},
	abstract = {Group awareness tools are developed to minimize the time of cooperative application realization and spare designers a lot of effort devoted to integrating the group awareness aspect into groupware. But these tools have several disadvantages, such as dependence on a single type of application or overloading the minds of users with unnecessary information. From here comes the need to develop a tool that allows to offer information of group awareness configurable and to be both generic and easy to use. Our article presents some tools that have inspired several ideas. It proposes a design of a new toolbox that allows a better interpretation of group awareness information. Finally, it presents a variant of the client/server architecture based on work area.},
	url = {https://anale-informatica.tibiscus.ro/download/lucrari/14-2-16-Kadri.pdf},
	author = {Kadri Ouahab and Abdelhadi Adel and Mouss Leila Hayet}
}
@article {4921,
	title = {A Multi-Agent Solution to Distributed Fault Diagnosis of Preheater Cement Cyclone,  ISSN / e-ISSN 0219-6867 / 1793-6896},
	journal = {Journal of Advanced Manufacturing Systems},
	volume = {Vol 15},
	number = {Issue 04},
	year = {2016},
	pages = {pp. 209-221},
	abstract = {Systems health monitoring is essential to guaranteeing the safe, efficient, and reliable operation of engineering systems. Integrated systems health management methodologies include fault diagnosis mechanism. Diagnosis involves detecting when a fault has occurred, isolating the true fault, and identifying the true damage to the system. This important issue is even harder when the systems to be diagnosed are dynamic and spatially distributed systems with their successively increasing complexity. For such systems, a single diagnostic entity having a model of the whole system approach is inappropriate. Whereas a distributed approach of multiple diagnostic agents can offer a solution. An overall systematic solution for these issues could be obtained by an artificial intelligent mechanism called the multi-agent system (MAS). This paper presents a MAS model for fault diagnosis based on logical theory of diagnosis. In this approach, each local diagnostic agent has knowledge above its subsystem and an abstract view of the neighboring subsystems and it is able to determine the local minimal diagnoses that are consistent with global diagnoses. The multi-agent models are simulated in Java Agent Development Framework and are applied to the preheated cement cyclone in the workshop of SCIMAT clinker.},
	url = {https://www.worldscientific.com/doi/10.1142/S021968671650015},
	author = {Chouhal Ouahiba and Mouss Leila Hayet and Benaggoune Said and Mahdaoui Rafik}
}
@article {4920,
	title = {On the use of multi-agent systems for the monitoring of industrial systems, ISSN /e-ISSN 1735-5702 / 1735-5702},
	journal = {Journal of Industrial Engineering International},
	volume = {vol 12},
	year = {2016},
	pages = {pp. 111{\textendash}118},
	abstract = {The objective of the current paper is to present an intelligent system for complex process monitoring, based on artificial intelligence technologies. This system aims to realize with success all the complex process monitoring tasks that are: detection, diagnosis, identification and reconfiguration. For this purpose, the development of a multi-agent system that combines multiple intelligences such as: multivariate control charts, neural networks, Bayesian networks and expert systems has became a necessity. The proposed system is evaluated in the monitoring of the complex process Tennessee Eastman process.},
	url = {https://link.springer.com/article/10.1007/s40092-015-0133-7},
	author = {Rezki Nafissa and Kazar Okba and Mouss Leila Hayet and Kahloul Laid}
}
@article {4919,
	title = {A Novel Approach for Mobile Maintenance Using Mobile Agents Technology and Mobile Devices, ISSN / e-ISSN 0219-6867 / 1793-6896},
	journal = {Journal of Advanced Manufacturing Systems},
	volume = {14},
	number = {2},
	year = {2016},
	pages = {pp. 55-74},
	abstract = {The long use of a system causes its degradation. Hence, the maintenance activity is required in order to keep and improve the efficiency in the system. With the rapid development in networking technology, a need appears to change the manufacturing strategies. These new technologies improve the maintenance process, and establish remote maintenance (tele-maintenance, e-maintenance and m-maintenance). These kinds of maintenance try to provide personnel maintenance with the right information at the suitable time, which makes information available, anywhere and anytime. Our proposition is the use of mobile agent technology to reduce the maintenance costs and solve the problem of the unavailability of an expert in all phases of condition-based maintenance (CBM) strategy. The mobile agent technology overcomes a lot of problems and there is not much work that has used this technology. We have also used the web services (WS) to insure interoperability between machines and to support interaction over the network. Our approach gives great support to the maintenance engineer as it facilitates the access to decision-making support, work order, etc. which are available in the device like smartphone. This paper presents the development of a mobile maintenance support system based on mobile agent technology. The proposed system, the web and agent technology as well as remote communication were tested successfully.},
	url = {https://www.worldscientific.com/doi/10.1142/S0219686715500055},
	author = {Abid Khadija and Mouss Leila Hayet and Kazar Okba and Kahloul Laid}
}
@article {3229,
	title = {
	Data monitoring and performance analysis of a 1.6kWp grid connected PV system in Algeria, ISBN 1309-0127


 

},
	journal = {IJRER International Journal of Renewable Energy Research},
	volume = {Vol 6},
	number = {N{\textdegree}1},
	year = {2016},
	pages = {34-42},
	abstract = {
	The present study deals with the performance of a 1.6kWp grid connected PV system installed at Batna University, in Algeria. The average solar energy received was 5.21 kWh/m{\texttwosuperior}.d, the grid connected PV system seems to be a good candidate for generating electricity in this region. The system was monitored during one year of continuous operation and data analysis to evaluate the performance of the grid connected PV system. The performance ratio of the system ranged between 51 and 61\%. Furthermore, the total produced energy by the PV array was 1931.7kWh and the supplied energy to the grid was 1705kWh. The annual final yield was 1065.6kWh/kWp. Moreover, an analysis of the energy losses in the system was performed, this makes it possible to determine the effect of the capture and system losses on the total energy balance of the system. All the electricity generated by the system was fed into the internal electrical grid of the university.

},
	url = {https://www.ijrer.org/ijrer/index.php/ijrer/article/view/3020},
	author = {Chouari Adel and Hamouda Chaabane and Ghagui Azziz}
}
@article {3228,
	title = {Theoretical and experimental investigation of solar heat potential at low temperatures: Towards large scale integration in the agro food sector, ISBN 1309-0127},
	journal = {IJRER International Journal of Renewable Energy Research},
	volume = {Vol.6},
	number = { No.1},
	year = {2016},
	abstract = {
	Several applications in the agro food sub-sector have been classified as suitable to be supplied by solar heating systems. The present work deals with the potential evaluation of solar thermal energy under climatic conditions of Algeria. In a first part, an experimental investigation conducted on small scale solar water heating system is presented followed by simulation. The experimental tests revealed the thermal behavior of the system as well as the outlet temperature levels which can be reached by locally manufactured flat plat collectors. The second part presents the potential of solar heat for industrial applications, particularly those consisting of heating make-up water and water feedback from heat recovery wich exists in almost all the agro food industries. Thus, water inlet temperature through the secondary circuit is considered to be ranging from 20 to 90{\textdegree}C. The results showed that the annual specific energy yield delivered by the solar system decreases by increasing water feedback temperature.\&nbsp;

},
	url = {https://www.ijrer.org/ijrer/index.php/ijrer/article/view/3085},
	author = {Boutagriout Badreddine and Chaabane  Hamouda and Smadi Hacene}
}
@mastersthesis {6076,
	title = {Une approche hybride pour la r{\'e}solution d\&rsquo;un probl{\`e}me (FJSSP)},
	year = {2015},
	author = {Bekhouche Med-Abdelghafour}
}
@mastersthesis {6075,
	title = {Optimisation int{\'e}gr{\'e}e production-distribution avec des clients group{\'e}s des zones non connect{\'e}s.},
	year = {2015},
	author = {Zegrar. H}
}
@mastersthesis {6074,
	title = {Optimisation int{\'e}gr{\'e}e production-distribution avec une demande sans split},
	year = {2015},
	author = {Becheh Hicham}
}
@mastersthesis {6073,
	title = {Synth{\`e}se d\&rsquo;un observateur par l\&rsquo;approche Bond Graph},
	year = {2015},
	author = {Khannouf Lamri}
}
@mastersthesis {6072,
	title = {R{\'e}solution des probl{\`e}mes par les m{\'e}thodes multicrit{\`e}res et les m{\'e}thodes d\&rsquo;optimisation math{\'e}matiques : Etudes comparative.},
	year = {2015},
	author = {Touati Mohamed Sa{\"\i}d}
}
@mastersthesis {6071,
	title = {Analyse de la capabilit{\'e} d\&rsquo;un processus de production bas{\'e}e sur des mesures floues},
	year = {2015},
	author = {Hasrouri Lotfi}
}
@mastersthesis {6070,
	title = {Analyse de la comp{\'e}titivit{\'e} d\&rsquo;une organisation par une quantification du niveau de qualit{\'e}},
	year = {2015},
	author = {Belhadi Islam}
}
@mastersthesis {6055,
	title = {Etude et Conception d\&rsquo;un Robot Manipulateur pour l\&rsquo;Entreprise Nationale des Mat{\'e}riels de Travaux Publics},
	year = {2015},
	author = {Djougane Fadila}
}
@mastersthesis {6045,
	title = {D{\'e}veloppement d\&rsquo;un syst{\`e}me intelligent pour la conduite du syst{\`e}me de production d\&rsquo;{\'e}lectricit{\'e}},
	year = {2015},
	author = {Bouhafna Khayreddine}
}
@mastersthesis {6044,
	title = {Mise en place d\&rsquo;une gestion de la maintenance par ordinateur pour l\&rsquo;am{\'e}lioration de la politique de maintenance},
	year = {2015},
	author = {Belhoul Haroun}
}
@mastersthesis {6039,
	title = {M{\'e}thode exacte pour l\&rsquo;ordonnancement dans un atelier job shop},
	year = {2015},
	author = {Arrab Nawail}
}
@mastersthesis {6038,
	title = {Minimisation des retards des jobs en int{\'e}grant la planification de la maintenance pr{\'e}ventive et l\&rsquo;ordonnancement de la production},
	year = {2015},
	author = {Harrath Meriem}
}
@mastersthesis {6037,
	title = {Etude comparative des heuristiques d\&$\#$39;ordonnancement d\&$\#$39;atelier Flow Shop de permutation.},
	year = {2015},
	author = {Haidoussi Assia}
}
@mastersthesis {6036,
	title = {R{\'e}solution du probl{\`e}me d\&$\#$39;ordonnancement des pi{\`e}ces avec contraintes d\&$\#$39;outillage},
	year = {2015},
	author = {Guiroud Fatima}
}
@mastersthesis {6035,
	title = {D{\'e}veloppement d\&$\#$39;une application de contr{\^o}le-commande en utilisant le Labview},
	year = {2015},
	author = {Bounasla Dallal}
}
@mastersthesis {6034,
	title = {Optimisation du profil des ailes d\&rsquo;une {\'e}olienne},
	year = {2015},
	author = {Kerfa Abdelhadi}
}
@mastersthesis {6033,
	title = {Etude d\&$\#$39;interfaces utilisateurs pour des applications industrielles},
	year = {2015},
	author = {Fatah Imen}
}
@mastersthesis {6032,
	title = {Base de connaissances pour la mod{\'e}lisation d\&$\#$39;un syst{\`e}me industriel},
	year = {2015},
	author = {Kebi Samia and DAhmani Chahinez}
}
@mastersthesis {6030,
	title = {Calcul des aspects FMD d\&$\#$39;une chaine de production compos{\'e}e},
	year = {2015},
	author = {Halkoum Selma and Ghenai Hind}
}
@mastersthesis {6029,
	title = {Planification des travaux de maintenance},
	year = {2015},
	author = {Omeiri Fatima and Khenatela Hadjer}
}
@mastersthesis {6002,
	title = {Analyse de la capabilit{\'e} d\&rsquo;un processus de production bas{\'e}e sur des mesures floues},
	year = {2015},
	author = {Hasrouri Lotfi}
}
@mastersthesis {6001,
	title = {Analyse de la comp{\'e}titivit{\'e} d\&rsquo;une organisation par une quantification du niveau de qualit{\'e}},
	year = {2015},
	author = {Belhadi Islam}
}
@mastersthesis {5959,
	title = {Methode Exacte pour l\&rsquo;ordonnancement dans un atelier Job Shop},
	year = {2015},
	author = {Arab Nour-El-Houda}
}
@mastersthesis {5958,
	title = {Algorithme G{\'e}n{\'e}tique pour le probl{\`e}me d\&rsquo;ordonnancement Job Shop r{\'e}entrant},
	year = {2015},
	author = {Harrath Maissa}
}
@mastersthesis {5957,
	title = {Utilisation des m{\'e}thodes de \&$\#$39;Recherche Tabou\&$\#$39; et \&$\#$39;Algorithmes G{\'e}n{\'e}tiques\&$\#$39; pour le calcul de l\&$\#$39;ordonnancement},
	year = {2015},
	author = {Harrath Chaima}
}
@mastersthesis {5956,
	title = {Ordonnancement de la production en utilisant le SPT(Shortest Processing Time) et TWT(Total Weighted Tardiness)},
	year = {2015},
	author = {Yaha Daikh}
}
@mastersthesis {5955,
	title = {R{\'e}solution d\&$\#$39;un probl{\`e}me d\&$\#$39;ordonnancement par la m{\'e}thode \&$\#$39;Recuit Simul{\'e}},
	year = {2015},
	author = {Benabidi Khaoula}
}
@mastersthesis {5954,
	title = {Application de la M{\'e}thode \&quot; Statistique Process Contol\&quot; \&quot;SPC\&quot;},
	year = {2015},
	author = {Benflis Fatima-Zohra}
}
@mastersthesis {5940,
	title = {Etude des Instabilit{\'e}s dans une tige de forage p{\'e}trolier},
	year = {2015},
	author = {Soussa Abdelkrim}
}
@mastersthesis {5938,
	title = {Externalisation des connaissances tacites en connaissances explicites : cas diagnostic industriel},
	year = {2015},
	author = {Titah Mahmoud}
}
@mastersthesis {5937,
	title = {Les mod{\`e}les de Markov Cach{\'e}s et leur application dans un processus industriel},
	year = {2015},
	author = {Belbedj Farid}
}
@mastersthesis {5936,
	title = {Informatisation de la Maintenance dans une entreprise textile},
	year = {2015},
	author = {AMEUR Zouina}
}
@mastersthesis {5935,
	title = {Mise en Place d\&rsquo;une Gestion de la Maintenance par ordinateur pour l\&rsquo;am{\'e}lioration de la politique de Maintenance},
	year = {2015},
	author = {Belhoul Haroun}
}
@mastersthesis {5929,
	title = {Int{\'e}gration de la nouvelle unit{\'e} du charbon actif du barrage de Timgad sur le syst{\`e}me SCADA },
	year = {2015},
	author = {Dengouga Wissem}
}
@mastersthesis {5920,
	title = {Mod{\'e}lisation d\&$\#$39;un panneau photovolta{\"\i}que },
	year = {2015},
	author = {Madi Sara and Zelghi Yousra}
}
@mastersthesis {5919,
	title = {Conception d\&rsquo;un tableau de bord de comp{\'e}tences},
	year = {2015},
	author = {Makouf Wafa and Mammeri Faiza}
}
@mastersthesis {5918,
	title = {Application de la M{\'e}thode \&quot; Statistique Process Contol\&quot; \&quot;SPC\&quot;},
	year = {2015},
	author = {Benflis Fatima-Zohra and Louai  Wissem}
}
@mastersthesis {5848,
	title = {Optimisation du fonctionnement d\&rsquo;une station de neutralisation des eaux us{\'e}es. Cas de la centrale {\'e}lectrique d\&rsquo;Ain Djasser},
	year = {2015},
	author = {Ghoulam Abderrazek}
}
@mastersthesis {5847,
	title = { Gestion de la maintenance du DCS de la centrale electrique de Ain Jasser par GMAO},
	year = {2015},
	author = {Youb Hamza}
}
@mastersthesis {5846,
	title = {Conception et realisation d\&rsquo;une application GMAO pour le barrage de Timgad Koudiat Medaouer},
	year = {2015},
	author = {Azoui Elhoucine}
}
@mastersthesis {5845,
	title = {Int{\'e}gration de l\&rsquo;unit{\'e} Charbon actif dans un syst{\`e}me SCADA},
	year = {2015},
	author = {Merdaci Ala Eddin}
}
@mastersthesis {5844,
	title = {Segmentation vocale par application des m{\'e}thodes de traitement du signal},
	year = {2015},
	author = {Mounis Taki-Eddine}
}
@mastersthesis {5843,
	title = { Mod{\'e}lisation d\&$\#$39;un Panneau Photovolta{\"\i}que},
	year = {2015},
	author = {Madi Sara and Zerghi Yousra}
}
@mastersthesis {5842,
	title = {Conception d\&rsquo;un tableau de bord de comp{\'e}tences},
	year = {2015},
	author = {Mkhlouf and Mammerif faiza}
}
@mastersthesis {5841,
	title = {Realization of isolated words and speaker recognizers using MATLAB},
	year = {2015},
	author = {Berghout Tarek}
}
@mastersthesis {5833,
	title = {Syst{\`e}me int{\'e}gr{\'e} pour la supervision et le diagnostic des d{\'e}fauts dans les syst{\`e}mes de production d\&rsquo;{\'e}nergies : les installations photovolta{\"\i}ques},
	year = {2015},
	author = {Rezgui Wail}
}
@mastersthesis {5832,
	title = {Vers une approche des syst{\`e}mes multi agents et m{\'e}thodes d\&rsquo;{\'e}mergence pour la maintenance syst{\'e}matique },
	year = {2015},
	author = {Abdelhadi Adel}
}
@mastersthesis {5808,
	title = { Supervision du syst{\`e}me de conduite d\&rsquo;un atelier au niveau d\&rsquo;une cimenterie {\`a} l\&rsquo;aide du service Web.},
	year = {2015},
	author = {Hamidene Rabie}
}
@mastersthesis {5801,
	title = {Conception et r{\'e}alisation d\&$\#$39;un SGDT au niveau d\&$\#$39;une unit{\'e} de production},
	year = {2015},
	author = {Chelihi Imen}
}
@mastersthesis {5795,
	title = {D{\'e}veloppement d\&$\#$39;une application de contr{\^o}le-commande en utilisant le Labview},
	year = {2015},
	author = {Bounasla Dalal}
}
@mastersthesis {5771,
	title = {Surete de fonctionnement d{\`u}une intalation Industrielle},
	year = {2015},
	author = {Baira Khaled}
}
@mastersthesis {5770,
	title = {R{\'e}alisation d\&$\#$39;une Application Web pour la cr{\'e}ation de dossiers m{\'e}dicaux personnels},
	year = {2015},
	author = {Djari Nour-Elimene and Benflis Feriel}
}
@mastersthesis {5769,
	title = {Cr{\'e}ation et int{\'e}rrogation d\&$\#$39;une base de donn{\'e}es floue utilisant SQL Flou},
	year = {2015},
	author = {Imen Boukricha}
}
@mastersthesis {5768,
	title = {Controle flou d\&$\#$39;un filtre {\`a} manche d\&$\#$39;une cimenterie utilisant Labview},
	year = {2015},
	author = {Hemal Salim and Oulmit Tarek}
}
@mastersthesis {5726,
	title = {Compression de donn{\'e}es num{\'e}riques, Etude et applications},
	year = {2015},
	author = {Menasria Walid}
}
@mastersthesis {5725,
	title = {Transform{\'e}e de Hough, Etude et Applications},
	year = {2015},
	author = {Djebali Chifa}
}
@mastersthesis {5724,
	title = {R{\'e}alisation d\&$\#$39;une application de e-gestion de stock et de personnel d\&$\#$39;une entreprise industrielle},
	year = {2015},
	author = {Bennezzar Heythem}
}
@mastersthesis {5723,
	title = {Cr{\'e}ation d\&rsquo;une biblioth{\`e}que num{\'e}rique des m{\'e}moires Master en G{\'e}nie Industriel},
	year = {2015},
	author = {Taghlalet Imen}
}
@mastersthesis {5722,
	title = {Application de la logique floue pour contr{\^o}ler le four d\&rsquo;une cimenterie},
	year = {2015},
	author = {Boukhalfa Nacer-Eddine}
}
@mastersthesis {5721,
	title = {Commande d\&$\#$39;un robot mobile {\`a} trajectoire fixe},
	year = {2015},
	author = {Guenfoud Maroine}
}
@mastersthesis {5720,
	title = {Application de SVM \&amp; ELM Pour r{\'e}soudre le probl{\`e}me de classification},
	year = {2015},
	author = {Bendifallah Dalal and Bourfia Halima}
}
@book {5715,
	title = {Application of Neural Network for Pattren Recognition of Plants Leaves, ISBN-10 : 3659815772 / ISBN-13 : 978-3659815775},
	year = {2015},
	pages = {88 pages},
	publisher = {Lambert Academic Publishing},
	organization = {Lambert Academic Publishing},
	abstract = {This work appears in pattern recognition in the agronomic domain, especially for the identification of the leaves of plants, while using the adaptive technique of neuronal networks. In this article, we will expose our tool; which is intended for two categories of specialists, the first consisting of researchers in the field of botany, as the second, so all scientists, who may use this work in their own applications. We will expose also, the capacities of generalization of the neuronal networks and their implementation to our problem.},
	url = {https://www.amazon.fr/Application-Neural-Network-Pattren-Recognition/dp/3659815772},
	author = {Abdelhadi Adel and Kadri Ouahab}
}
@proceedings {5160,
	title = {
	Photovoltaic module simultaneous open-and short-circuit faults modeling and detection using the I-V characteristic


 

},
	journal = {IEEE International Symposium on Industrial Electronics Jun , Buzios - Rio de Janeiro, Brazil},
	year = {2015},
	pages = {919-924},
	abstract = {This paper created a new research space in the faults modeling and detection area of the industrial systems, especially photovoltaic generators. It reserved for modeling and detection the hybrid defects, like the presence of cells open- and short-circuit within the same photovoltaic cells group. For a small investment, the new algorithm created a new platform. It exposed a display screen of the database, which presented the power of the PV module production in each period. The display screen allows real-time monitoring of the PV module production throughout the year, and detecting its anomalies.},
	url = {https://ieeexplore.ieee.org/document/7281582}
}
@article {5148,
	title = {SKACICM a method for development of knowledge management and innovation system e-KnowSphere,  ISSN /e-ISSN 1755-8255 / 1755-8263},
	journal = {International, Journal. Knowledge and Web Intelligence},
	volume = {Vol 5},
	number = {issue 2},
	year = {2015},
	pages = {105-126},
	abstract = {The purpose of this paper is to propose a hybrid method SKACICM of development of knowledge management systems. Based on weaknesses of the method of performance dashboards SKANDIA, we proposed a pragmatisation and adaptation of Skandia to give ASKANDIA, by enrichment of its performance book. We ameliorated CICM model against the requirements of GERAM to give ACICM model by mappings between their proposed metamodels. We tried to hybridise ACICM, ASKANDIA and business intelligence to propose a new method SKACICM of development of knowledge management systems. We applied SKACICM on a cement company to develop software containing three main modules, module knowledge management, module business intelligence and performance dashboard system. The developed system ameliorated the performance of the enterprise by 26\% and could be generalised to other manufacturing or service systems.},
	url = {https://dl.acm.org/doi/abs/10.1504/IJKWI.2015.075153},
	author = {Aitouche Samia and Mouss Mohamed Djamel and Kaanit Abdelghafour and Bouhafna Khayreddine}
}
@article {5147,
	title = {Smart algorithm based on the optimization of SVR technique by k-NNR method for the prognosis of the open-circuit and the reversed polarity faults in a PV generator,  ISSN / e-ISSN  1974-9821 / 2533-1701},
	journal = {International Review on Modelling and Simulations},
	volume = {Vol 8},
	number = {issue 1},
	year = {2015},
	pages = {863-870},
	abstract = {This paper deals with a new smart algorithm allowing open-circuit and reversed polarity faults prognosis in photovoltaic generators. Its contribution lies on the optimization of support vector regression (SVR) technique by a k-NN regression tool (k-NNR) for undetermined outputs. To testing the performance of the proposed algorithm, we used a significant data base containing the generator functioning history, and as indicators we selected variance, standard deviation, Confidence interval, absolute and relative errors.},
	url = {https://www.praiseworthyprize.org/jsm/index.php?journal=iremos\&page=article\&op=view\&path[]=16927},
	author = {Wail Rezgui and Mouss Nadia Kenza and Mouss Leila Hayet and Mouss Mohamed Djamel}
}
@article {5125,
	title = {Analysis of competitiveness level in an industrial company using a continuous improvement-based approach, ISSN / e-ISSN 1479-2494 / 1479-2753},
	journal = {International Journal of Six Sigma and Competitive Advantage },
	volume = {Vol 9},
	number = {2/3/4},
	year = {2015},
	pages = {87-108},
	abstract = {In recent years, companies have emerged in an advanced competitive environment. To meet the requirements of cost reduction, customer demand, minimising delays, quality and variety improvement, companies must improve their performance to remain competitive, survive and expand. To achieve this goal, several models are used such as total quality management, Kaizen, just in time, enterprise resource planning, business process reengineering and Six Sigma, etc. In this work, we look for an effective model (drawn from Six Sigma approach) used mainly to warrant the competitiveness of a company denoted as the weighted defects per million opportunities model. The aim of this paper is to apply this model to measure process levels (weights) and assess the company competitiveness. The results of this model are applied in a real manufacturing system which produces gas bottles.},
	url = {https://www.researchgate.net/publication/297943401_Analysis_of_competitiveness_level_in_an_industrial_company_using_a_continuous_improvement-based_approach},
	author = {Aouag Hichem and Kobi Abdessamad and Mechenene Athmane}
}
@proceedings {5085,
	title = {Contr{\^o}le flou et marche automatique d\&rsquo;un atelier de broyage cru d\&rsquo;une cimenterie en utilisant Fuzzy Control++ et PCS 7},
	journal = {JEJS{\textquoteright}2015 2{\`e}m ejourn{\'e}es d{\textquoteright}{\'e}tudes des jeunes scientifiques 24 \& 25 Mai  Batna, Alg{\'e}rie},
	year = {2015},
	author = {Zermane Hanane}
}
@article {5043,
	title = {SCADA system for the modeling and optimization of oil collecting pipeline network: A case study of hassi messaoud oilfield ISSN / e-ISSN 2040-7459 /  2040-7467},
	journal = {Research Journal of Applied Sciences, Engineering and Technology },
	volume = {Vol 10},
	number = {Issue 7 },
	year = {2015},
	pages = {789-804},
	abstract = {This study aims are data acquisition, control and online modeling of an oil collection pipeline network using a SCADA {\guillemotleft}Supervisory Control and Data Acquisition{\guillemotright} system, allowing the optimization of this network in real time by creating more exact models of onsite facilities. Indeed, fast development of computing systems makes obsolete usage of old systems for which maintenance became more and more expensive and their performances don{\textquoteright}t comply any more with modern company operations. SCADA system is a telemetry and control system adapted for particular requirements of an oilfield management. Thanks to its different functions, we take advantage of this system to solve production problems especially those related to oil collecting pipeline network. In fact this network is confronted to some problems, in particular pressure losses which has significant effect on the production. This problem can be taken under control by the awareness of pipeline network operation and all its process data (especially junctions) in real time. This will allow online creation of representative and accurate computerized models for the oil collecting pipeline network including producing wells, collecting pipelines, manifolds and others facilities.},
	url = {https://www.researchgate.net/publication/285429170_SCADA_System_for_the_Modeling_and_Optimization_of_Oil_Collecting_Pipeline_Network_A_Case_Study_of_Hassi_Messaoud_Oilfield},
	author = {Aouadj Mounir and Naceri Farid and Touileb Mustapha and Sellami Dorra}
}
@article {5042,
	title = {Comparison and prioritisation of measurement methods of intellectual capital; IC-dVal, VAIC and NICI, ISSN / e-ISSN  1479-4853 / 1479-4861},
	journal = {International Journal of Learning and Intellectual Capital },
	volume = {12},
	number = {2},
	year = {2015},
	abstract = {The purpose of this paper is to compare between three methods of intellectual capital (IC) measurement; intellectual capital dynamic valuation (IC-dVal), value added intellectual coefficient (VAIC), and national intellectual capital index (NICI). The three methods are the most used in practice; we used 24 criteria covering important aspects of IC to do general comparison. According to ten criteria, we compared and prioritised them using analytic hierarchy process (AHP). The results of this comparison show that the methods are close for some criteria and distant for other criteria. The prioritisation with AHP found that NICI method is the most method responding to the criteria, namely: macro measure, guidelines of the method, dynamic valuation, involved levels of business, usability by stakeholders, covered aspects of IC, quantifiability, frequency of use and applicability. IC-dVal is the second one and VAIC is the third method responding to the criteria. The analysis could give more significant results using larger set of criteria. This is the first research prioritising methods of measurement of IC using AHP analysis.},
	url = {https://www.researchgate.net/publication/276178196_Comparison_and_prioritisation_of_measurement_methods_of_intellectual_capital_IC-dVal_VAIC_and_NICI},
	author = {Aitouche Samia and Mouss Nadia Kinza and Mouss Mohamed Djamel and Kaanit Abdelghafour and Marref Tarek}
}
@article {5041,
	title = {Smart algorithm based on the optimization of SVR technique by k-NNR method for the prognosis of the open-circuit and the reversed polarity faults in a PV generator},
	journal = {IREMOS  International Review on Modelling and Simulations..  5197 DOI: https://doi.org/10.15866/iremos.},
	volume = {Vol 8 },
	number = { issue 1},
	year = {2015},
	pages = {18-25},
	abstract = {This paper deals with a new smart algorithm allowing open-circuit and reversed polarity faults prognosis in photovoltaic generators. Its contribution lies on the optimization of support vector regression (SVR) technique by a k-NN regression tool (k-NNR) for undetermined outputs. To testing the performance of the proposed algorithm, we used a significant data base containing the generator functioning history, and as indicators we selected variance, standard deviation, Confidence interval, absolute and relative errors.},
	url = {https://hal.archives-ouvertes.fr/hal-01154195/document},
	author = {Rezgui Wail and Mouss Nadia Kinza and Mouss Leila Hayet and Mouss Med Djamel and Amirat Yassine and Benbouzid Mohamed}
}
@article {5040,
	title = {SKACICM a method for development of knowledge management and innovation system e-KnowSphere, ISSN / e-ISSN 1755-8255 / 1479-4861},
	journal = {International Journal of Knowledge and Web Intelligence},
	volume = {Vol 5},
	number = {No 2},
	year = {2015},
	abstract = {The purpose of this paper is to propose a hybrid method SKACICM of development of knowledge management systems. Based on weaknesses of the method of performance dashboards SKANDIA, we proposed a pragmatisation and adaptation of Skandia to give ASKANDIA, by enrichment of its performance book. We ameliorated CICM model against the requirements of GERAM to give ACICM model by mappings between their proposed metamodels. We tried to hybridise ACICM, ASKANDIA and business intelligence to propose a new method SKACICM of development of knowledge management systems. We applied SKACICM on a cement company to develop software containing three main modules, module knowledge management, module business intelligence and performance dashboard system. The developed system ameliorated the performance of the enterprise by 26\% and could be generalised to other manufacturing or service systems.},
	url = {https://dl.acm.org/doi/abs/10.1504/IJKWI.2015.075153},
	author = {Aitouche Samia and Mouss Med Djamel and Mammeri Walid and Chabbi Abdeldjalil}
}
@proceedings {4978,
	title = {Contr{\^o}le flou et marche automatique d\&rsquo;un atelier de broyage cru d\&rsquo;une cimenterie en utilisant Fuzzy Control++ et PCS 7},
	journal = {JEJS{\textquoteright}2015 2{\`e}mejourn{\'e}es d{\textquoteright}{\'e}tudes des jeunes scientifiques, 24 \& 25 Mi  Batna, Alg{\'e}rie},
	year = {2015},
	author = {Zermane Hanane}
}
@proceedings {4963,
	title = {Optimal Planning of Nurses\&rsquo; Redeployment at Patient Overflow, ISSN  / ISBN  978-94-62520-74-5  / 2352-538X},
	journal = {Proceedings of the 2015 AASRI International Conference on Circuits and Systems},
	year = {2015},
	abstract = {In order to provide to his patients a quality medical service at lower cost, the General Administration Department of a University Hospital wants to maintain the number of the allocated nurses as low as possible while guaranteeing a satisfying level of health care. The nurses{\textquoteright} redeployment is an optimization problem that falls under the category of integer linear programming problems whose graphical model is a digraph. The mathematical model is composed of an objective function of several interdependent variables to be obtained and some equality and side constraints that the General Administration Department should not violate in order to achieve satisfaction. The solution of this kind of problems rests on the use of an iterative method known as the simplex algorithm.},
	url = {https://www.atlantis-press.com/proceedings/cas-15/23017},
	author = {Bellala Djamel}
}
@proceedings {4930,
	title = {Smart diagnosis algorithm of the open-circuit fault in a photovoltaic generator, ISBN: 978-1-4799-8212-7},
	journal = {CEIT, 2015 3rd International Conference on Control, Engineering \& Information Technology},
	year = {2015},
	abstract = {This article proposed a new smart diagnosis algorithm of the open-circuit fault in a PV generator. For the faults conventional diagnosis, it used the analysis of the actual operation parameters of the PV generator. For the faults smart diagnosis, it based on the optimization of SVM technique by the neural network for the classification of observations located on its margin. The resulting algorithm can ensure a better monitoring function of the open-circuit fault within the PV generator, with a high classification rate and a low error rate.},
	url = {https://ieeexplore.ieee.org/abstract/document/7233125?section=abstract},
	author = {Wail Rezgui}
}
@proceedings {4929,
	title = {New Algorithm for the IV Characteristic Modeling of the Photovoltaic Generator Malfunction within Impedance and Reversed Polarity Faults},
	journal = {IEEE EFEA Third International Symposium on Environment Friendly Energies and Applications},
	year = {2015},
	pages = {pp. 506-512},
	abstract = {In this paper, we proposed a new methodology that can improved and developed the faults detection and diagnosis methods of the photovoltaic generator, especially when it subjected to the impedance and reversed polarity defects. This proposed algorithm is based on the mathematical modeling of the IV characteristic, of the faulty photovoltaic generator hierarchies as: cell, cells group, module, string and the entire generator, when they submitted to one or more of: cells, bypass and blocking diodes in impedance and reversed polarity faults. This new methodology can facilitated the study of the faulty generator characteristics, and obtained a database for the learning phase and the classification of the new observations collected on the system during its operation. NOMENCLATURE I_phi = Photo-Current. N_Cells = Cells Number in Each Group. N_Groups = Groups Number in Each Module. N_Modules = Modules Number in Each String. N_Strings = Strings Number in the Generator. V_Cell_Imp = Cell Voltage Imposed. I_Cells = Cell Current. V_Cells = Cell Voltage. I_PV = Generator Current. V_PV = Generator Voltage. R_S = Cell Series Resistance. R_SH = Cell Shunt Resistance. I_S1 = Reverse Saturation Current of 1 st Diode. I_S2 = Reverse Saturation Current of 2 nd Diode. m1 = Ideality Factors of 1 st Diode. m2 = Ideality Factors of 2 nd Diode.},
	url = {https://hal.archives-ouvertes.fr/hal-01154205},
	author = {Mouss Leila Hayet}
}
@article {4902,
	title = {Fault Diagnosis of Manufacturing Systems Using AntTreeStoch with Parameter Optimization by ACO, ISSN / e-ISSN  1738-494X / 1976-3824},
	journal = {J MECH SCI TECHNOL},
	year = {2015},
	abstract = {In this paper, we propose diagnostic modules for complex and dynamic systems. These modules are based on three ant colony algorithms, which are AntTreeStoch, Lumer \&amp; Faieta and Binay ant colony. We chose these algorithms for their simplicity and their wide application range. However, we cannot use these algorithms in their basement forms as they have several limitations. To use these algorithms in a diagnostic system, we have proposed three variants. We have tested these algorithms on datasets issued from two industrial systems which are clinkering system and pasteurization system.},
	url = {https://www.researchgate.net/publication/285578275_Fault_Diagnosis_of_Manufacturing_Systems_Using_AntTreeStoch_with_Parameter_Optimization_by_ACO},
	author = {Kadri Ouahab and Mouss Leila Hayet}
}
@book {3596,
	title = {Am{\'e}lioration du processus de d{\'e}veloppement de produit \&ndash; Cas d\&rsquo;une entreprise Alg{\'e}rienne, ISSN/ISBN},
	year = {2015},
	publisher = {~Editions universitaires europeennes EUE Buch},
	organization = {~Editions universitaires europeennes EUE Buch},
	author = {Benzouai Messaoud and Smadi Hacene}
}
@proceedings {3595,
	title = {The optimization of a conventional scheluding problem},
	journal = {Journ{\'e}e d{\textquoteright}{\'e}tudes des jeunes scientifiques, Batna 2015},
	year = {2015},
	author = {Boukalkoul Zakaria}
}
@proceedings {3550,
	title = {A Tabu search heuristic for an integrated production-distribution problem with clustered retailers},
	journal = {MIM 2016 - 8th IFAC Conference on Manufacturing Modelling and control},
	year = {2015},
	author = {Senoussi Ahmed}
}
@proceedings {3532,
	title = {An effective Genetic Algorithm For The Flexible Job Shop Scheduling Problems Qu{\'e}bec, CANADA 26,28 octobre},
	journal = {CIGI 11 Congres International de G{\'e}nie Industriel},
	year = {2015},
	url = {http://www.simagi.polymtl.ca/cigi2011/articles/_Bentrcia-Proposition.pdf},
	author = {Mouss kinza Nadia}
}
@proceedings {3525,
	title = {Optimal Planning of Nurses\&rsquo; Redeployment at Patient Overflow, ISBN: 978-3-03785-277-4},
	journal = {(CAS 2015) International Conference on Circuits and Systems   },
	year = {2015},
	author = {Bellala Djamel}
}
@proceedings {3521,
	title = {Effective meta-heuristic algorithm for solving a multi-criteria job-shop scheduling problem with maintenance activities},
	journal = { (ICIST 2015) The 5th International Conference on Information Systems and Technologies},
	year = {2015},
	url = {http://www.ijist.net/ICIST15  /proceedings/START.htm},
	author = {Smadi Hacene}
}
@proceedings {3511,
	title = {Optimal Planning of Nurses\&rsquo; Redeployment at Patient Overflow, ISBN  978-3-03785-277-4},
	journal = {(CAS 2015) International Conference on Circuits and Systems},
	year = {2015},
	url = {DOI: 10.1109/CSAE.2011.5952917},
	author = {Bellala Djamel}
}
@proceedings {3505,
	title = {Smart diagnosis algorithm of the open-circuit fault in a photovoltaic generator, ISBN: 978-1-4799-8212-7  },
	journal = {(CEIT), 2015 3rd International Conference onControl, Engineering \& Information Technology},
	year = {2015},
	url = {DOI: 10.1109/CEIT.2015.7233125},
	author = {Rezgui Wail}
}
@proceedings {3488,
	title = {Photovoltaic module simultaneous open-and short-circuit faults modeling and detection using the I\&ndash;V characteristic},
	journal = {(ISIE 2015 IEEE) The 24th International Symposium on Industrial Electronics},
	year = {2015},
	url = {DOI: 10.1109/ISIE.2015.7281582},
	author = {Mouss Leila-Hayet}
}
@proceedings {3425,
	title = {Smart diagnosis algorithm of the open-circuit fault in a photovoltaic generator, ISBN: 978-1-4799-8212-7 },
	journal = { (CEIT), 2015 3rd International Conference onControl, Engineering \& Information Technology},
	year = {2015},
	url = {DOI: 10.1109/CEIT.2015.7233125},
	author = {Rezgui Wail}
}
@proceedings {3411,
	title = {Photovoltaic module simultaneous open-and short-circuit faults modeling and detection using the I\&ndash;V characteristic},
	journal = {(ISIE 2015 IEEE) The 24th International Symposium on Industrial Electronics},
	year = {2015},
	url = {DOI: 10.1109/ISIE.2015.7281582},
	author = {Mouss Leila-Hayet}
}
@book {3398,
	title = {Contribution {\`a} la commande adaptative floue tol{\'e}rante aux fautes, ISSN/ISBN 10: 3841671896, EAN: 9783841671899},
	year = {2015},
	pages = {152 pages},
	publisher = {Editions universitaires europ{\'e}ennes },
	organization = {Editions universitaires europ{\'e}ennes },
	abstract = {La croissance de processus automatis{\'e} complexe dans les installations industrielles n{\'e}cessite, une surveillance continue en vue d{\textquoteright}assurer leur fiabilit{\'e}, leur disponibilit{\'e}, leur s{\^u}ret{\'e} de fonctionnement et surtout leur tol{\'e}rance aux fautes. Pour cela, le d{\'e}veloppement d{\textquoteright}outils d{\textquoteright}analyse du comportement du syst{\`e}me dynamique, permettant de le maintenir en fonctionnement normal en pr{\'e}sence de fautes est n{\'e}cessaire. Ces outils doivent permettre de maintenir un niveau minimal de s{\'e}curit{\'e} et garantir la stabilit{\'e} et la robustesse du processus. ces travaux concernent l{\textquoteright}{\'e}tude de diagnostic des actionneurs tout en {\'e}tablissant une commande tol{\'e}rante aux fautes s{\textquoteright}appuyant sur les techniques de commande avanc{\'e}es pour garantir la robustesse et la stabilit{\'e} du syst{\`e}me. Pour contourner les probl{\`e}mes de stabilit{\'e} et de robustesse en pr{\'e}sence de d{\'e}fauts, deux commandes adaptative floue directe et indirecte ont {\'e}t{\'e} {\'e}tablies. Dans les deux cas la robustification est obtenue par mode glissant. Afin de rendre la commande insensible aux bruits de mesure et aux perturbations et de prendre en compte les incertitudes non exploit{\'e}es par les syst{\`e}mes flous type-1, les syst{\`e}mes flous type-2 sont introduits.},
	url = {https://www.amazon.fr/Contribution-commande-adaptative-tol\%C3\%A9rante-fautes/dp/3841671896},
	author = {Benbrahim Merieml and Essounbouli  Nadjib and Beta Ammar}
}
@inbook {3397,
	title = {Fuzzy Modeling of the Single Machine Scheduling Problems including the Learning Effect, ISBN 978-3-319-23349-9},
	booktitle = {Metaheuristics for Production Systems},
	year = {2015},
	pages = {315-348},
	publisher = {Springer, Cham},
	organization = {Springer, Cham},
	abstract = {In this chapter, we consider the single machine scheduling problem including uncertain parameters and position based learning effect with the aim to minimize the weighted sum of jobs completion times. Due to the ill-known quantities within the model, the determination procedures of optimal solutions in the conventional way is not an affordable task and more elaborated frameworks should be developed. In this context, we introduce two solution approaches for the proposed fuzzy scheduling problem in order to obtain an exact or a satisfactory near optimal solution. The first approach is based on the extension of the well-known Smith{\textquoteright}s rule resulting in a polynomial algorithm with a complexity O(n l o g(n)). However, a severe constraint on jobs (fuzzy agreeability concept) should be satisfied in this case. The second approach based on optimization methods is built upon the assumption of unequal fuzzy release dates in addition to the absence of fuzzy agreeability constraint. Three trajectory based metaheuristics (Simulated annealing, taboo search and kangaroo search) are implemented and applied to solve the resulting problem. For the proposed methods throughout the chapter, several numerical experimentations jointly with statistical deductions are provided.},
	url = {https://link.springer.com/chapter/10.1007/978-3-319-23350-5_14},
	author = {Bentrcia Toufik and Mouss Leila Hayet}
}
@article {3352,
	title = {Analysis of competitiveness level in an industrial company using a continuous improvement based approach, ISSN/ISBN 1479-27531479-2494},
	journal = {IJSSCA International journal of Six sigma and Competetive Advantage},
	volume = {Vol 9},
	number = { n{\textdegree}3},
	year = {2015},
	pages = {pp 87-108 },
	abstract = {In recent years, companies have emerged in an advanced competitive environment. To meet the requirements of cost reduction, customer demand, minimising delays, quality and variety improvement, companies must improve their performance to remain competitive, survive and expand. To achieve this goal, several models are used such as total quality management, Kaizen, just in time, enterprise resource planning, business process reengineering and Six Sigma, etc. In this work, we look for an effective model (drawn from Six Sigma approach) used mainly to warrant the competitiveness of a company denoted as the weighted defects per million opportunities model. The aim of this paper is to apply this model to measure process levels (weights) and assess the company competitiveness. The results of this model are applied in a real manufacturing system which produces gas bottles.},
	url = {https://hal.archives-ouvertes.fr/hal-01392070},
	author = {Aoueg Hicham and Mechennene Athmane}
}
@article {3351,
	title = {Comparison and prioritisation of measurement methods of intellectual capital; IC-dVal, VAIC and NICI,  ISSN 1755-8263},
	journal = {IJLIC International journal of learning and intellectual capital},
	volume = {Vol. 12},
	number = { N{\textdegree}2},
	year = {2015},
	pages = {122 - 145},
	abstract = {The purpose of this paper is to compare between three methods of intellectual capital (IC) measurement; intellectual capital dynamic valuation (IC-dVal), value added intellectual coefficient (VAIC), and national intellectual capital index (NICI). The three methods are the most used in practice; we used 24 criteria covering important aspects of IC to do general comparison. According to ten criteria, we compared and prioritised them using analytic hierarchy process (AHP). The results of this comparison show that the methods are close for some criteria and distant for other criteria. The prioritisation with AHP found that NICI method is the most method responding to the criteria, namely: macro measure, guidelines of the method, dynamic valuation, involved levels of business, usability by stakeholders, covered aspects of IC, quantifiability, frequency of use and applicability. IC-dVal is the second one and VAIC is the third method responding to the criteria. The analysis could give more significant results using larger set of criteria. This is the first research prioritising methods of measurement of IC using AHP analysis.},
	url = {https://www.inderscience.com/info/inarticle.php?artid=68984},
	author = {Aitoche Samia and Mouss kinza Nadia and Mouss Med Djamel}
}
@article {3341,
	title = {Modeling and solving a one supplier multi-vehicle production-inventory-distribution ptoblem xith clustered retailers,  ISSN/ISBN 0268-3768 / 1433-3015},
	journal = {INT J ADV MANUF TECH},
	volume = {Volume 85},
	number = { Issue 5{\textendash}8},
	year = {2015},
	pages = {pp 971{\textendash}989},
	abstract = {This paper considers a supply chain management problem which integrates production, inventory, and distribution decisions. The supply chain is composed of one supplier production facility and several retailers located in a given geographic region. The supplier is responsible for the production and the replenishment of the inventory of retailers, in a vendor managed inventory (VMI) context. The distance between retailers is negligible compared to the distance between the supplier and the retailers{\textquoteright} region. Thus, for each vehicle, there is a major fixed cost for traveling to the cluster of retailers and a minor fixed cost for visiting each individual retailer. The problem consists of determining quantities to be produced, quantities to be delivered to retailers, vehicles to be used, and retailers to be serviced by each vehicle. This problem is an extension of the one warehouse multi-retailer problem with the consideration of production planning and storage and vehicle capacity limitations in addition to fixed vehicle utilization costs and retailer servicing costs. The objective is to minimize a total cost composed of production, transportation, and inventory holding costs at the supplier and at the retailers. Two mixed integer linear programming formulations are proposed and six families of valid inequalities are added to strengthen these formulations. Two of these families are new and the others are adapted from the literature. The numerical results show that the valid inequalities considerably improve the quality of the formulations. Moreover, the parameters that influence the most computational times are analyzed},
	url = {https://link.springer.com/article/10.1007/s00170-015-7966-5},
	author = {Senoussi Ahmed and Mouss kinza Nadia and Dauzere-Peres}
}
@article {3340,
	title = {A New Genetic Algorithm or the Flexible Job Shop scheduling problems, ISSN/ISBN 1738-494X / 1976-3824},
	journal = {J MECH SCI TECHNOL},
	volume = {Volume 29},
	number = {Issue 3},
	year = {2015},
	pages = { pp 1273{\textendash}1281},
	abstract = {Flexible job-shop scheduling problem (FJSP), which is proved to be NP-hard, is an extension of the classical job-shop scheduling problem. In this paper, we propose a new genetic algorithm (NGA) to solve FJSP to minimize makespan. This new algorithm uses a new chromosome representation and adopts different strategies for crossover and mutation. The proposed algorithm is validated on a series of benchmark data sets and tested on data from a drug manufacturing company. Experimental results prove that the NGA is more efficient and competitive than some other existing algorithms.},
	url = {https://link.springer.com/article/10.1007/s12206-015-0242-7},
	author = {Driss Imen and Mouss kinza Nadia and Laggoun Assia}
}
@article {3339,
	title = {Evaluation of optimality in the fuzzy single machine scheduling problem including discounted costs,  ISSN/ISBN 0268-3768/1433-3015},
	journal = {INT J ADV MANUF TECH},
	volume = {Volume 80},
	number = {Issue 5},
	year = {2015},
	pages = {pp 1369{\textendash}1385 },
	abstract = {The single machine scheduling problem has been often regarded as a simplified representation that contains many polynomial solvable cases. However, in real-world applications, the imprecision of data at the level of each job can be critical for the implementation of scheduling strategies. Therefore, the single machine scheduling problem with the weighted discounted sum of completion times is treated in this paper, where we assume that the processing times, weighting coefficients and discount factor are all described using trapezoidal fuzzy numbers. Our aim in this study is to elaborate adequate measures in the context of possibility theory for the assessment of the optimality of a fixed schedule. Two optimization approaches namely genetic algorithm and pattern search are proposed as computational tools for the validation of the obtained properties and results. The proposed approaches are experimented on the benchmark problem instances and a sensitivity analysis with respect to some configuration parameters is conducted. Modeling and resolution frameworks considered in this research offer promise to deal with optimality in the wide class of fuzzy scheduling problems, which is recognized to be a difficult task by both researchers and practitioners.},
	url = {https://link.springer.com/article/10.1007/s00170-015-7100-8},
	author = {Bentercia Toufik and Mouss Leila Hayet and Mouss kinza Nadia}
}
@article {3227,
	title = {Auditing of Energy Use and Costs Analysis in the Algerian Agro Food Sector: A Case Study in Three Dairies, ISSN/ISBN 0199-8595/1546-0118},
	journal = {JAEE Journal of the Association of Energy Engineering Auditing of Energy Use and Costs Analysis in the Algerian },
	year = {2015},
	abstract = {The industrial sector accounts for almost one fourth of the final energy consumption in Algeria. An energy survey was carried out in three Algerian dairies, and the energy use and cost analysis is presented in this article. Electricity and natural gas are the main resources that are used in the dairy industry. The specific energy consumption related to electricity and natural gas was found to be in the ranges of 0.03{\textendash}0.08 kWh/kg and 0.10-0.22 kWh/kg respectively. Also, a relationship of energy consumption, energy costs and production is presented and the findings could be used to establish an energy management system aimed at using energy more efficiently. Finally, this paper calls for more investigations of other industries to obtain reliable indicators.},
	url = {https://www.tandfonline.com/doi/full/10.1080/01998595.2016.11668652},
	author = {Boutagriout Badreddine and Hamouda Cha{\^a}bane and Smadi Hacene}
}
@article {3226,
	title = {Comparison and prioritization of measurement methods of intellectual capital, IC-dVal, VAIC and NICI, Janvier  ISSN/ISBN 1755-8263/1479-4853},
	journal = {IJLIC International journal of learning and intellectual capital},
	volume = {Vol. 12},
	number = {N{\textdegree}2 },
	year = {2015},
	pages = {pp 122-145},
	abstract = {The purpose of this paper is to compare between three methods of intellectual capital (IC) measurement; intellectual capital dynamic valuation (IC-dVal), value added intellectual coefficient (VAIC), and national intellectual capital index (NICI). The three methods are the most used in practice; we used 24 criteria covering important aspects of IC to do general comparison. According to ten criteria, we compared and prioritised them using analytic hierarchy process (AHP). The results of this comparison show that the methods are close for some criteria and distant for other criteria. The prioritisation with AHP found that NICI method is the most method responding to the criteria, namely: macro measure, guidelines of the method, dynamic valuation, involved levels of business, usability by stakeholders, covered aspects of IC, quantifiability, frequency of use and applicability. IC-dVal is the second one and VAIC is the third method responding to the criteria. The analysis could give more significant results using larger set of criteria. This is the first research prioritising methods of measurement of IC using AHP analysis},
	url = {https://www.inderscience.com/info/inarticle.php?artid=68984},
	author = {Aitoche Samia and Mouss Med Djamel and Kaanit Abdelghafor}
}
@article {3225,
	title = {SKACICM a method for development of knowledge management and innovation system e-KnowSphere, Janvier, ISSN/ISBN 1755-8263/1479-4861},
	journal = { IJKWI. International journal of knowledge and web intelligence},
	volume = {Vol. 6 },
	number = {N{\textdegree} 1},
	year = {2015},
	pages = {pp.105{\textendash}126},
	abstract = {
	The purpose of this paper is to propose a hybrid method\&nbsp;SKACICM of development of knowledge management systems. Based on\&nbsp;weaknesses of the method of performance dashboards SKANDIA, we proposed\&nbsp;a pragmatisation and adaptation of Skandia to give (ASKANDIA), by\&nbsp;enrichment of its performance book. We ameliorated CICM model against the\&nbsp;requirements of GERAM to give ACICM model by mappings between\&nbsp;their proposed metamodels. We tried to hybridise ACICM, ASKANDIA\&nbsp;and business intelligence to propose a new method SKACICM of development\&nbsp;of knowledge management systems. We applied SKACICM on a cement\&nbsp;company to develop software containing three main modules, module\&nbsp;knowledge management, module business intelligence and performance\&nbsp;dashboard system. The developed system ameliorated the performance of the\&nbsp;enterprise by 26\% and could be generalised to other manufacturing or service\&nbsp;systems.

},
	url = {10.1504/IJKWI.2015.075153},
	author = {Aitoche Samia and Mouss Med Djamel and Kaanit Abdelghafor}
}
@article {3224,
	title = {An effective Meta-Heuristic Algoritm for solve multicriteria job Jhop Scheluding problem with maintenance activitie, ISSN/ISBN 2040-7459/1479-4861},
	journal = {RJSAET.Research Journal of Applied Sciences Engineering and technology},
	volume = {Vol. 11},
	number = {issue 9},
	year = {2015},
	pages = {pp. 01-12},
	abstract = {In this study, a metaheuristic based on the Non-dominated Sorting Genetic Algorithm type II (NSGA-II) is proposed to solve the Multi-Criterions Job Shop Scheduling Problem (MCJSSP) under resources availability constraints. Availability periods and starting time of maintenance activities are supposed to be flexible. The MCJSSP requires, simultaneous minimization several antagonistic criteria, such as the maximum completion time of all jobs (Makespan), production cost and maintenance cost. To validate the proposed approach we tested it on forty-four instances references. The results show that our approach is experimentally promising to solve practical problems.},
	url = {http://dx.doi.org/10.19026/rjaset.11.2134},
	author = {Bahmani Younes and Smadi Hacene and Benzouai Mzssaoud}
}
@article {3072,
	title = {Comparison and prioritization of measurement methods of intellectual capital; IC-dVal, VAIC and NICI, Janvier, ISSN/ISBN 1755-8263/1479-4853},
	journal = { IJLIC International journal of learning and intellectual capital },
	volume = {Vol. 12},
	number = {N{\textdegree}2},
	year = {2015},
	pages = {pp 122-145 },
	abstract = {The purpose of this paper is to compare between three methods of intellectual capital (IC) measurement; intellectual capital dynamic valuation (IC-dVal), value added intellectual coefficient (VAIC), and national intellectual capital index (NICI). The three methods are the most used in practice; we used 24 criteria covering important aspects of IC to do general comparison. According to ten criteria, we compared and prioritised them using analytic hierarchy process (AHP). The results of this comparison show that the methods are close for some criteria and distant for other criteria. The prioritisation with AHP found that NICI method is the most method responding to the criteria, namely: macro measure, guidelines of the method, dynamic valuation, involved levels of business, usability by stakeholders, covered aspects of IC, quantifiability, frequency of use and applicability. IC-dVal is the second one and VAIC is the third method responding to the criteria. The analysis could give more significant results using larger set of criteria. This is the first research prioritising methods of measurement of IC using AHP analysis.},
	url = {https://ideas.repec.org/a/ids/ijlica/v12y2015i2p122-145.html},
	author = {Aitoche Samia and Mouss Leila Hayet and Kaanit Abdelghafour}
}
@article {3067,
	title = {Smart Algorithm Based on the Optimization of SVR Technique by k-NNR Method for the Prognosis of the Open-Circuit and the Reversed Polarity Faults in a PV Generator, Decembre, ISSN/ISBN 1974-98211974-983X},
	journal = {IREMOS International Review on Modelling and Simulations.},
	volume = { Vol 8},
	number = {N{\textdegree}5},
	year = {2015},
	pages = {pp .18-25},
	abstract = {This paper deals with a new smart algorithm allowing open-circuit and reversed polarity faults prognosis in photovoltaic generators. Its contribution lies on the optimization of support vector regression (SVR) technique by a k-NN regression tool (k-NNR) for undetermined outputs. To testing the performance of the proposed algorithm, we used a significant data base containing the generator functioning history, and as indicators we selected variance, standard deviation, Confidence interval, absolute and relative errors. Nomenclature PV Photovoltaic SVM Support Vector Machines SVR Support Vector Regression k-NNR k-Nearest Neighbor Regression X SVR input vector Y SVR output vector f Linear function Ф Nonlinear mapping function w Weight vector e Squared loss function x Problem variable x * New problem variable α Lagrange multipliers N Number of classes m Number of index of minimum distances I / V Current / Voltage IPH Photocurrent},
	url = {https://hal.archives-ouvertes.fr/hal-01154195},
	author = {Rezgui Wail and Mouss Leila Hayet and Mouss Med Djamel}
}
@article {3064,
	title = {SKACICM a method for development of knowledge management and innovation system e-KnowSphere, Janvier, ISSN/ISBN 1755-8255/1479-4861},
	journal = {JKWI. International journal of knowledge and web intelligence},
	volume = {Volume-6},
	number = { N{\textdegree} 1},
	year = {2015},
	author = {Aitoche Samia and Mouss Med Djamel and Mamri Walid}
}
@article {3003,
	title = {A Novel Approach for Mobile Maintenance Using Mobile Agents Technology and Mobile Devices, ISSN / ISBN 0219-6867 / 1793-6896},
	journal = {JAMS Journal of Advanced Manufacturing Systems},
	volume = {14},
	number = {2},
	year = {2015},
	pages = { pp. 55-74 },
	abstract = {The long use of a system causes its degradation. Hence, the maintenance activity is required in order to keep and improve the efficiency in the system. With the rapid development in networking technology, a need appears to change the manufacturing strategies. These new technologies improve the maintenance process, and establish remote maintenance (tele-maintenance, e-maintenance and m-maintenance). These kinds of maintenance try to provide personnel maintenance with the right information at the suitable time, which makes information available, anywhere and anytime. Our proposition is the use of mobile agent technology to reduce the maintenance costs and solve the problem of the unavailability of an expert in all phases of condition-based maintenance (CBM) strategy. The mobile agent technology overcomes a lot of problems and there is not much work that has used this technology. We have also used the web services (WS) to insure interoperability between machines and to support interaction over the network. Our approach gives great support to the maintenance engineer as it facilitates the access to decision-making support, work order, etc. which are available in the device like smartphone. This paper presents the development of a mobile maintenance support system based on mobile agent technology. The proposed system, the web and agent technology as well as remote communication were tested successfully.},
	url = {https://doi.org/10.1142/S0219686715500055},
	author = {Abid Khadidja and Mouss Leila Hayet and Kazar Okba and Kahloul Laid}
}
@article {1730,
	title = {Evaluation of optimality in the fuzzy single machine scheduling problem including discounted costs, September 2015, ISSN/ISBN: 0268-3768/ 1433-3015},
	journal = {The International Journal of Advanced Manufacturing Technology},
	volume = {80},
	number = {05},
	year = {2015},
	pages = {1369{\textendash}1385},
	abstract = {The single machine scheduling problem has been often regarded as a simplified representation that contains many polynomial solvable cases. However, in real-world applications, the imprecision of data at the level of each job can be critical for the implementation of scheduling strategies. Therefore, the single machine scheduling problem with the weighted discounted sum of completion times is treated in this paper, where we assume that the processing times, weighting coefficients and discount factor are all described using trapezoidal fuzzy numbers. Our aim in this study is to elaborate adequate measures in the context of possibility theory for the assessment of the optimality of a fixed schedule. Two optimization approaches namely genetic algorithm and pattern search are proposed as computational tools for the validation of the obtained properties and results. The proposed approaches are experimented on the benchmark problem instances and a sensitivity analysis with respect to some configuration parameters is conducted. Modeling and resolution frameworks considered in this research offer promise to deal with optimality in the wide class of fuzzy scheduling problems, which is recognized to be a difficult task by both researchers and practitioners.},
	url = {https://doi.org/10.1007/s00170-015-7100-8},
	author = {Bentercia Toufik and Mouss Leila Hayet and Mouss kinza Nadia}
}
@mastersthesis {6183,
	title = {D{\'e}veloppement d\&rsquo;une approche de r{\'e}solution d\&rsquo;un probl{\`e}me de lot sizing avec transport},
	year = {2014},
	author = {Laggoun Assia}
}
@mastersthesis {6182,
	title = {Elaboration d\&$\#$39;un programme Informatique pour la communucation et la gestion des donn{\'e}es par r{\'e}seau Internet, de la consommation energ{\'e}tique},
	year = {2014},
	author = {Mehannaoui Raouf}
}
@mastersthesis {6181,
	title = {Analyse S{\'e}quentielle des d{\'e}cisions d\&rsquo;investissement},
	year = {2014},
	author = {Messaoudi Miloud}
}
@mastersthesis {6164,
	title = {M{\'e}thode d\&$\#$39;{\'e}valuation de la qualit{\'e} du processus de conception  avec l\&$\#$39;utilisation de DFSS (design for six sigma)},
	year = {2014},
	author = {Boukhenifra Aissa and Ghecham Karim}
}
@mastersthesis {6163,
	title = {Une Approche Hybride pour la R{\'e}solution d\&$\#$39;un probl{\'e}me Industriel (FJSSP)},
	year = {2014},
	author = {Bekhouche Mouloud}
}
@mastersthesis {6162,
	title = {Application de la Value Stream Mapping pour la r{\'e}duction des temps de cycle dans un syst{\`e}me de production},
	year = {2014},
	author = {Soltani Mohyeddine}
}
@mastersthesis {6161,
	title = {Am{\'e}lioration de la performance par les m{\'e}thodes multicrit{\'e}re multi-acteur},
	year = {2014},
	author = {Kaouan Salah}
}
@mastersthesis {6160,
	title = {La r{\'e}solution desprobl{\`e}mes de selection de fournisseurs par les methodes math{\'e}matique et multicriteres},
	year = {2014},
	author = {Touati Kamel}
}
@mastersthesis {6145,
	title = {Application du Code {\`a} barre pour la  tra{\c c}abilit{\'e} MOUSS Kinza Nadia et SMAILI},
	year = {2014},
	author = {Belkacsmi Fatima}
}
@mastersthesis {6144,
	title = {Optimisation int{\'e}gr{\'e}e production-maintenance-qualit{\'e}},
	year = {2014},
	author = {Benidir Sofiane}
}
@mastersthesis {6065,
	title = {Un environnement {\'e}volutif d\&rsquo;aide au Diagnostic et {\`a} la conduite des Syst{\`e}mes Industriels},
	year = {2014},
	author = {Benbrahim Meriem}
}
@mastersthesis {6043,
	title = {Organisation de la fabrication par la DFT (Demand Flow Technology)},
	year = {2014},
	author = {Smail Samia}
}
@mastersthesis {6042,
	title = {R{\'e}solution des probl{\`e}mes de classification en aide {\`a} la d{\'e}cision. Application},
	year = {2014},
	author = {Azil Khaoula}
}
@mastersthesis {6041,
	title = {Optimisation du co{\^u}t de forage d\&$\#$39;un puits},
	year = {2014},
	author = {Alloui Abdellatif and Djebara Abdelkrim}
}
@mastersthesis {6040,
	title = {Initiation {\`a} l\&$\#$39;{\'e}tude ergonomiques des outils CAO},
	year = {2014},
	author = {Telalssa Kamel}
}
@mastersthesis {5950,
	title = {Etude et conception d\&$\#$39;un serveur vocal: Application aux comptes clients d\&$\#$39;une banque},
	year = {2014},
	author = {Zaidi Ammar}
}
@mastersthesis {5949,
	title = {Approche multi modeles pour la conception de systemes dynamiques hybrides surs de fonctionnement},
	year = {2014},
	author = {Ourliss Ourabah}
}
@mastersthesis {5931,
	title = {Pilotage en temps r{\'e}el d\&rsquo;une centrale {\'e}lectrique a gaz pour l\&rsquo;am{\'e}lioration du rendement et de la consommation sp{\'e}cifique},
	year = {2014},
	author = {Mehira Rabie}
}
@mastersthesis {5923,
	title = {Etude de la partie informatique d\&$\#$39;un simulateur de cockpit (Etude logicielle)},
	year = {2014},
	author = {Bayarassou Abdelhakim and Boussaad Mohamed-Anis}
}
@mastersthesis {5922,
	title = {Etude d\&rsquo;un syst{\`e}me SCADA (Supervisiory Control And Data Aquisition},
	year = {2014},
	author = {Iguelmamene Hasna}
}
@mastersthesis {5921,
	title = {Etude d\&rsquo;un syst{\`e}me de contr{\^o}le distribu{\'e} DCS \&laquo; Distributed Control System},
	year = {2014},
	author = {Kanit Akila}
}
@mastersthesis {5800,
	title = {Etude d\&$\#$39;interfaces utilisateurs pour des applications industrielles},
	year = {2014},
	author = {Fatah Imene}
}
@mastersthesis {5799,
	title = {R{\'e}solution du probl{\`e}me d\&$\#$39;ordonnancement des pi{\`e}ces avec contraintes d\&$\#$39;outillage},
	year = {2014},
	author = {Guiroud Fatiha}
}
@mastersthesis {5794,
	title = {Conception d\&$\#$39;un syst{\`e}me de GMAO pour la gestion de maintenance du barrage de Timgad},
	year = {2014},
	author = {Azoui El-Hocine}
}
@mastersthesis {5793,
	title = {Conception et r{\'e}alisation d\&$\#$39;un syst{\`e}me temps r{\'e}el de contr{\^o}le commande},
	year = {2014},
	author = {Abdelhadi Younes}
}
@mastersthesis {5792,
	title = {Contr{\^o}le d\&$\#$39;un proc{\'e}d{\'e} industriel par API},
	year = {2014},
	author = {Chebili Hocine}
}
@mastersthesis {5791,
	title = {Site Web pour la gestion de l\&$\#$39;entreprise ScimAT},
	year = {2014},
	author = {Lounis Taki-EDdine and Soltani MohiEddine}
}
@mastersthesis {5790,
	title = {Mod{\'e}lisation et Commande d\&$\#$39;un Syst{\`e}me Hydraulique dans l\&$\#$39;Espace d\&$\#$39;Etat},
	year = {2014},
	author = {Djebaili Chifa and Guenfoud Maroin}
}
@mastersthesis {5789,
	title = {Un Syst{\`e}me Immunitaire Artificiel pour l\&$\#$39;Ordonnancement des Ateliers multi-gamme},
	year = {2014},
	author = {Serrar Younes}
}
@mastersthesis {5788,
	title = {Supervision d\&$\#$39;un Syst{\`e}me de Production},
	year = {2014},
	author = {Merdaci Alaeddine}
}
@mastersthesis {5781,
	title = {Cr{\'e}ation d\&rsquo;une biblioth{\`e}que num{\'e}rique des th{\`e}ses Master dans le site du d{\'e}partement de G{\'e}nie Industriel et dans la base SNDL},
	year = {2014},
	author = {Takhebalet Ilhem}
}
@mastersthesis {5780,
	title = {Etude des modes de marche et d\&rsquo;arr{\^e}t d\&rsquo;un m{\'e}langeur industriel},
	year = {2014},
	author = {Rouibi Assiai Assia}
}
@mastersthesis {5779,
	title = {Mod{\'e}lisation de fonctionnement sans anomalies d\&rsquo;un syst{\`e}me de production},
	year = {2014},
	author = {Boucherbe Nour Elhouda et and Merah Amina}
}
@mastersthesis {5778,
	title = {Contr{\^o}le flou et marche automatique d\&rsquo;un atelier de broyage cru},
	year = {2014},
	author = {Aoura Alaedine}
}
@mastersthesis {5777,
	title = {T{\'e}l{\'e}-Contr{\^o}le d\&$\#$39;un Syst{\`e}me de Production en utilisant PCS 7},
	year = {2014},
	author = {Dekkhiche Asma}
}
@mastersthesis {5776,
	title = {Etude de la mise {\`a} niveau (Upgrade) du syst{\`e}me de contr{\^o}le-commande (DCS : TDC 3000) install{\'e} au champ p{\'e}trolier BRN (Bir Rebaa Nord)},
	year = {2014},
	author = {Righi Amine}
}
@mastersthesis {5775,
	title = {Conception d\&rsquo;une Interface Humain-Machine d\&rsquo;un syst{\`e}me de supervision de la station d\&rsquo;injection d\&rsquo;eau du champ BRN (Bir Rebaa Nord) },
	year = {2014},
	author = {Touil Khaled}
}
@conference {4695,
	title = {Remote control and supervision of a manufacturing system Application in a cement factory, ISSN. 2335-1012},
	booktitle = {ICDSD 2014. International Conference on Distributed System and Decision, Oran, Algeria},
	year = {2014},
	author = {Zermane Hanane and Mouss Leila Hayet and Hamidane  Rabie}
}
@conference {4694,
	title = {A smart algorithm for the diagnosis of short-circuits faults in a photovoltaic generator},
	booktitle = {A smart algorithm for the diagnosis of short-circuits faults in a photovoltaic generator. In Proceedings of the 2014 IEEE ICGE  Sfax, Tunisia},
	year = {2014},
	author = {Rezgui Wail and Mouss Leila Hayet and Mouss Nadia. Kinza and Mouss Med Djamel and Benbouzid Mohamed}
}
@conference {4693,
	title = {Faults Modeling of the Impedance and Reversed Polarity Types within the PV Generator Operation \&raquo;},
	booktitle = {Proceedings of the 2014 IEEE The third International Symposium on Environment Friendly Energies and Applications Paris, France},
	year = {2014},
	pages = {pp. 377-382},
	author = {Rezgui Wail and Mouss Leila Hayet and Mouss Nadia. Kinza and Mouss Med Djamel and Y.Amirat and Benbouzid Mohamed}
}
@conference {4692,
	title = {New Algorithm for the IV Characteristic Modeling of the Photovoltaic Generator Malfunction within Impedance and Reversed Polarity Faults },
	booktitle = {in Proceedings of the 2014 IEEE EFEA The third International Symposium on Environment Friendly Energies and Applications Paris, France},
	year = {2014},
	pages = {pp. 506-512    },
	author = {Rezgui Wail and Mouss Leila Hayet and Mouss Nadia. Kinza and Mouss Med Djamel and Y.Amirat and Benbouzid Mohamed}
}
@conference {4691,
	title = {Modeling the PV Generator Behavior Submit to the Open-Circuit and the Short-Circuit Faults},
	booktitle = {In Proceedings of the 2014 IEEE EFEA. The third International Symposium on Environment Friendly Energies and Applications Paris, France},
	year = {2014},
	pages = {pp. 57-62},
	author = {Rezgui Wail and Mouss Nadia. Kinza and Mouss Leila Hayet and Mouss Med Djamel and Y.Amirat and Benbouzid Mohamed}
}
@conference {4690,
	title = {Development of a New Methodology for Modeling the PV Generator Behavior in the Presence of Open-Circuit and Short-Circuit Faults},
	booktitle = {In Proceedings of the 2014 IEEE EFEA. Third International Symposium on Environment Friendly Energies and Applications Paris, France},
	year = {2014},
	pages = {pp. 445-450},
	author = {Rezgui Wail and Mouss Leila Hayet and Mouss Nadia. Kinza and Mouss Med Djamel and Y.Amirat and Benbouzid Mohamed}
}
@conference {4689,
	title = {A hybrid method to develop a knowledge management system},
	booktitle = {EKNOW 2014 International Conference on Information, Process, and Knowledge Management Barcelone, Espagne},
	year = {2014},
	pages = {pp 77-83},
	author = {Aitouche Samia and Mouss Med Djamel and Mouss Leila Hayet and Kaanit Abdelghafour and Boutarfa Youcef and Rezki Djamil}
}
@conference {4688,
	title = {Regression Algorithm for the Smart Prognosis of a Reversed Polarity Fault in a Photovoltaic Generator},
	booktitle = {In Proceedings of the 2014 IEEE ICGE Sfax, Tunisia},
	year = {2014},
	author = {Rezgui Wail and Mouss Leila Hayet and Mouss Med Djamel and Benbouzid Mohamed}
}
@conference {4667,
	title = {An implementation tool for the expertise model using CommonKADS methodology},
	booktitle = {In proceedings of EKNOW 2014 International Conference on Information, Process, and Knowledge Management, Barcelone, Espagne},
	year = {2014},
	pages = {pp 70-76},
	author = {Titah Mawloud and Mouss Med Djamel and Aitouche Samia}
}
@proceedings {3593,
	title = {Substitution du gaz naturel par les syst{\`e}mes thermiques solaire dans l\&$\#$39;industrie de transformation du lait en Alg{\'e}rie.},
	journal = {JSMER{\textquoteright}2014. Journ{\'e}es Scientifiques Mat{\'e}riaux {\textsection} Energies Renouvelables {\guillemotleft}Applications et D{\'e}fis{\guillemotright}},
	year = {2014},
	author = {Bouakaz Amina}
}
@proceedings {3592,
	title = {Ordonnancement d\&$\#$39;un syst{\`e}me de production pour une gestion optimale d\&$\#$39;{\'e}nergie},
	journal = {JEJS{\textquoteright}2014, 1{\`e}re journ{\'e}e d{\textquoteright}{\'e}tudes des jeunes scientifique},
	year = {2014},
	author = {Bouakaz Amina}
}
@proceedings {3591,
	title = {Etude du Potentiel d\&$\#$39;Energie Solaire Thermique Utilis{\'e} pour la Production de l\&$\#$39;Eau chaude dans l\&$\#$39;Industrie Agro-alimentaire},
	journal = {9{\`e}me Journ{\'e}e de M{\'e}canique, Ecole Militaire Polytechnique},
	year = {2014},
	author = {Bouakaz Amina}
}
@proceedings {3590,
	title = {l\&rsquo;int{\'e}gration d\&rsquo;une approche proactive pour la maintenance : Etat de l\&rsquo;art},
	journal = {JEJS{\textquoteright}2014, 1{\`e}re journ{\'e}e d{\textquoteright}{\'e}tudes des jeunes scientifique},
	year = {2014},
	author = {Bayarassou Manal}
}
@proceedings {3589,
	title = {Application d\&rsquo;un nouveau mod{\`e}le  de maitrise de la performance globale d\&rsquo;une organisation},
	journal = {ICISE{\textquoteright}14 International conference on engineering of Industrial safety and Environnement},
	year = {2014},
	url = {http://www.univ-oran,.dz/icise2014/index.html},
	author = {Aoueg Hicham}
}
@proceedings {3588,
	title = {L\&$\#$39;{\'e}nergie solaire thermique dans l\&$\#$39;industrie agro-alimenetaire en Alg{\'e}rie. Constantine},
	journal = {ICEECA{\textquoteright}14 2{\`e}me Conf{\'e}rence Internationale sur l{\textquoteright}Energ{\'e}tique Appliqu{\'e}e et la Pollution. Universit{\'e} de Constantine 1},
	year = {2014},
	author = {Bouakaz Amina}
}
@proceedings {3587,
	title = {Les param{\`e}tres m{\'e}t{\'e}orologiques influant sur la production journali{\`e}re d\&$\#$39;un syst{\`e}me solaire thermique Universit{\'e} Abou Bekr Belkaid Tlemcen. , Novembre},
	journal = {STEMA 3{\`e}me S{\'e}minaire International sur les technologies M{\'e}caniques Avanc{\'e}es},
	year = {2014},
	author = {Bouakaz Amina}
}
@proceedings {3586,
	title = {Potentiel d\&$\#$39;Energie Solaire Thermique dans l\&$\#$39;Industrie Agro-alimentaire. 12 - 14 May. Batna\&ndash;Algeria, pour la maintenance syst{\'e}matique},
	journal = {ICIEM{\textquoteright}14, International Conference on Industrial Engineering and Manufacturing},
	year = {2014},
	pages = {pp. 589-595},
	url = {http://www.univ-batna,.dz/iciem2014/index.html},
	author = {Bouakaz Amina}
}
@proceedings {3585,
	title = {SIAD Scimat 2.0, aide {\`a} la d{\'e}cision pour un syst{\`e}me de production  Ouargla, Algeria, March.},
	journal = {ICAIIT 2014 International Conference on Artificial Intelligence and Information Technology},
	year = {2014},
	author = {Boutarfa Youcef}
}
@proceedings {3584,
	title = {Mesurer le niveau sigma d\&rsquo;une entreprise par une approche {\`a} base de pond{\'e}ration des processus May, 11-13, Batna, Algeria },
	journal = {ICIEM{\textquoteright}14, International Conference on Industrial Engineering and Manufacturing},
	year = {2014},
	pages = {pp. 28-33},
	url = {http://www.univ-batna,.dz/iciem2014/index.html},
	author = {Aoueg Hicham}
}
@proceedings {3572,
	title = {Mesurer le niveau sigma d\&rsquo;une entreprise par une approche {\`a} base de pond{\'e}ration des processus. 12 - 14 May. Batna\&ndash;Algeria,},
	journal = { ICIEM{\textquoteright}14, International Conference on Industrial Engineering and Manufacturing},
	year = {2014},
	pages = { pp. 589-595},
	url = {http://www.univ-batna,.dz/iciem2012/index.html},
	author = {Aoueg Hicham}
}
@proceedings {3571,
	title = {Un cadre Bay{\'e}sien pour pr{\'e}voir la dur{\'e}e des pannes dans un syst{\`e}me de production.. May, 11-13, Batna, Algeria},
	journal = {ICIEM{\textquoteright}14, International Conference on Industrial Engineering and Manufacturing},
	year = {2014},
	pages = {pp. 640-645},
	url = {http://www.univ-batna,.dz/iciem2012/index.html},
	author = {Zegdani Salima}
}
@proceedings {3570,
	title = {Solution hybride pour un probl{\`e}me de lot syzing int{\'e}gr{\'e} {\`a} capacit{\'e} fini avec transport May, 11-13, Batna, Algeria},
	journal = {ICIEM{\textquoteright}14, International Conference on Industrial Engineering and Manufacturing},
	year = {2014},
	pages = {pp. 634-639},
	url = {http://www.univ-batna,.dz/iciem2012/index.html},
	author = {Laggoun Assia}
}
@proceedings {3567,
	title = {Development of a smart algorithm for the prognosis and the diagnosis of the short circuit and the reversed polarity faults in a photovoltaic generator, May, 11-13, Batna, Algeria},
	journal = {ICIEM{\textquoteright}14, International Conference on Industrial Engineering and Manufacturing},
	year = {2014},
	pages = {pp. 245-251},
	url = {http://www.univ-batna,.dz/iciem2014/index.html},
	author = {Rezgui Wail}
}
@proceedings {3561,
	title = {Une approche de contr{\^o}le manufacturier d\&rsquo;un syst{\`e}me de production},
	journal = { ICISE{\textquoteright}14 International conference on engineering of Industrial safety and Environnement},
	year = {2014},
	url = {http://www.univ-oran,.dz/icise2014/index.html},
	author = {Driss Imen}
}
@proceedings {3559,
	title = {Proposition d\&rsquo;une nouvelle approche pour le choix des investissements bas{\'e}e sur les arbres de d{\'e}cision flous . May, 11-13, Batna, Algeria },
	journal = {ICIEM{\textquoteright}14, International Conference on Industrial Engineering and Manufacturing},
	year = {2014},
	pages = {pp. 353-359},
	url = {http://www.univ-batna,.dz/iciem2014/index.html},
	author = {Kaanit Abdelghafour}
}
@proceedings {3558,
	title = {Development of a proactive maintenance strategy: state of art.  May, 11-13, Batna, Algeria},
	journal = {ICIEM{\textquoteright}14, International Conference on Industrial Engineering and Manufacturing},
	year = {2014},
	pages = {pp. 46-49},
	url = {http://www.univ-batna,.dz/iciem2014/index.html},
	author = {Bayarasou Manal}
}
@proceedings {3548,
	title = {Smart diagnosis algorithm of the open-circuit fault in a photovoltaic generator},
	journal = {(CEIT), 2015 3rd International Conference onControl, Engineering \& Information Technology},
	year = {2014},
	author = {Rezgui Wail}
}
@proceedings {3547,
	title = {A smart algorithm for the diagnosis of short-circuit faults in a photovoltaic generator},
	journal = {ICGE{\textquoteright}14 International Conference on Green Energy},
	year = {2014},
	author = {Rezgui Wail}
}
@proceedings {3546,
	title = {A Regression Algorithm for the Smart Prognosis of a Reversed Polarity Fault in a Photovoltaic Generator},
	journal = { ICGE{\textquoteright}14 International Conference on Green Energy},
	year = {2014},
	author = {Rezgui Wail}
}
@proceedings {3545,
	title = {Strong formulations for a capacitated multi-vehicle Production-distribution Problem},
	journal = {IESM 2013 Industrial Engineering and Systems Management Rabat, MOROCCO},
	year = {2014},
	author = {Mouss kinza Nadia}
}
@proceedings {3543,
	title = {Modeling the PV Generator Behavior Submit to the Open-Circuit and the Short-Circuit Faults. 19-21 Nov. Paris (France)},
	journal = {(IEEE EFEA 2014),Third International Symposium on Environment Friendly Energies and Applications},
	year = {2014},
	pages = {pp. 57-62~},
	url = {http://www.simagi.polymtl.ca/cigi2011/articles/_Bentrcia-Proposition.pdf},
	author = {Rezgui Wail}
}
@proceedings {3542,
	title = {Development of a New Methodology for Modeling the PV Generator Behavior in the Presence of Open-Circuit and Short-Circuit Faults. 19-21 November},
	journal = {(IEEE EFEA 2014),Third International Symposium on Environment Friendly Energies and Applications},
	year = {2014},
	author = {Rezgui Wail}
}
@proceedings {3531,
	title = {Potentiel d\&rsquo;Energie Solaire Thermique dans l\&rsquo;IndustrieAgro-alimentaire},
	journal = { ICIEM{\textquoteright}14, International Conference on Industrial Engineering and Manufacturing},
	year = {2014},
	url = {http://www.univ-batna,.dz/iciem2014/index.html},
	author = {Bouakaz Amina}
}
@proceedings {3530,
	title = {Les d{\'e}chets {\'e}lectroniques et leur gestion dans le monde et en Alg{\'e}rie},
	journal = { ICIEM{\textquoteright}14, International Conference on Industrial Engineering and Manufacturing},
	year = {2014},
	url = {http://www.univ-batna,.dz/iciem2014/index.html},
	author = {Hamouda Karima}
}
@proceedings {3529,
	title = {Monitoring of Smart Home System and Analysis of CO2 Gas emissionusing Open Source Platform},
	journal = { ICIEM{\textquoteright}14, International Conference on Industrial Engineering and Manufacturing},
	year = {2014},
	url = {http://www.univ-batna,.dz/iciem2014/index.html},
	author = {Ghouari Adel}
}
@proceedings {3528,
	title = {Experimental investigation on solar thermal system and possible reduction of CO2 emissions},
	journal = { ICIEM{\textquoteright}14, International Conference on Industrial Engineering and Manufacturing},
	year = {2014},
	url = {http://www.univ-batna,.dz/iciem2012/index.html},
	author = {Boutagriouet Baddredine}
}
@proceedings {3519,
	title = {Walk optimization of a drilling operation carried out by a two link robot arm using heuristic approach },
	journal = {International Congress on Energy Efficiency and Energy Related Materials},
	year = {2014},
	author = {Bellala Djamel}
}
@proceedings {3503,
	title = {A smart algorithm for the diagnosis of short-circuit faults in a photovoltaic generator, ISBN: 978-1-4799-3602-1  },
	journal = {ICGE{\textquoteright}14 International Conference on Green Energy  },
	year = {2014},
	url = {DOI:  10.1109/ICGE.2014.6835412},
	author = {Rezgui Wail}
}
@proceedings {3502,
	title = {A Regression Algorithm for the Smart Prognosis of a Reversed Polarity Fault in a Photovoltaic Generator,  ISBN: 978-1-4799-3602-1  },
	journal = { ICGE{\textquoteright}14 International Conference on Green Energy},
	year = {2014},
	url = {DOI: 10.1109/ICGE.2014.6835411},
	author = {Rezgui Wail}
}
@proceedings {3499,
	title = { A hybrid method to develop a knowledge management system, Barcelone, Espagne, Mars, ISBN: 978-1-61208-329-2},
	journal = { (EKNOW 2014),  International Conference on Information, Process, and Knowledge Management},
	year = {2014},
	pages = {pp. 77-83},
	author = {Aitoche Samia}
}
@proceedings {3498,
	title = { An implementation tool for the expertise model using CommonKADS methodology, In proceedings , Barcelone, Espagne, Mars, ISBN: 978-1-61208-329-2},
	journal = {(EKNOW 2014 ), International Conference on Information, Process, and Knowledge Management},
	year = {2014},
	pages = {pp. 70-76},
	author = {Titah Mawloud}
}
@proceedings {3492,
	title = {Modeling the PV Generator Behavior Submit to the Open-Circuit and the Short-Circuit Faults. 19-21 Nov. Paris (France), ISBN: 978-1-4799-7517-4},
	journal = {(IEEE EFEA 2014),Third International Symposium on Environment Friendly Energies and Applications},
	year = {2014},
	pages = {pp. 57-62},
	url = {DOI: 10.1109/EFEA.2014.7059947},
	author = {Bencherif Fateh}
}
@proceedings {3491,
	title = {Development of a New Methodology for Modeling the PV Generator Behavior in the Presence of Open-Circuit and Short-Circuit Faults.19-21 November, Paris France, ISBN: 978-1-4799-7517-4},
	journal = {(IEEE EFEA 2014),Third International Symposium on Environment Friendly Energies and Applications},
	year = {2014},
	pages = {pp. 445-450},
	url = {DOI: 10.1109/EFEA.2014.7059947},
	author = {Bencherif Fateh}
}
@proceedings {3490,
	title = {Faults Modeling of the Impedance and Reversed Polarity Types within the PV Generator Operation. 19-21 Nov. Paris (France), ISBN: 978-1-4799-7517-4 },
	journal = { (IEEE EFEA 2014),Third International Symposium on Environment Friendly Energies and Applications},
	year = {2014},
	pages = {pp. 377-382},
	url = {DOI: 10.1109/EFEA.2014.7059947},
	author = {Mouss Leila-Hayet}
}
@proceedings {3489,
	title = {New Algorithm for the IV Characteristic Modeling of the Photovoltaic Generator Malfunction within Impedance and Reversed Polarity Faults ISBN 978-1-4799-7517-4},
	journal = {IEEE EFEA Third International Symposium on Environment Friendly Energies and Applications 19-21 Nov Paris  France},
	year = {2014},
	pages = {pp. 506-512},
	url = {DOI: 10.1109/EFEA.2014.7059947},
	author = {Mouss Leila-Hayet}
}
@proceedings {3484,
	title = {Remote control and supervision of a manufacturing system Application in a cement factory},
	journal = {ICEE 2014  The Second International Conference on Electro {\textendash} Energy },
	year = {2014},
	author = {Zermane Hanane}
}
@proceedings {3478,
	title = {L\&rsquo;application des algorithmes de colonies de fourmis pour le diagnostic des syst{\`e}mesdynamiques et complexes},
	journal = {ICIEM{\textquoteright}14, International Conference on Industrial Engineering and Manufacturing},
	year = {2014},
	url = {http://www.univ-batna,.dz/iciem2014/index.html},
	author = {Kadri Ouhab}
}
@proceedings {3477,
	title = {La logique floue pour l\&rsquo;anesth{\'e}sie inhalatoire},
	journal = {ICIEM{\textquoteright}14, International Conference on Industrial Engineering and Manufacturing},
	year = {2014},
	url = {http://www.univ-batna,.dz/iciem2014/index.html},
	author = {Brahmi Samia}
}
@proceedings {3476,
	title = {MaSE, une m{\'e}thode innovante pour la mod{\'e}lisation d\&rsquo;un syst{\`e}me de production r{\'e}el},
	journal = {ICIEM{\textquoteright}14, International Conference on Industrial Engineering and Manufacturing},
	year = {2014},
	url = {http://www.univ-batna,.dz/iciem2014/index.html},
	author = {Bouhafna Kherredine}
}
@proceedings {3475,
	title = {Designing a mobile agent based M-maintenance: Formal modelling and simulation},
	journal = {ICIEM{\textquoteright}14, International Conference on Industrial Engineering and Manufacturing},
	year = {2014},
	url = {http://www.univ-batna,.dz/iciem2014/index.html  ABID },
	author = {Abid Khadidja}
}
@proceedings {3474,
	title = {Une nouvelle m{\'e}thode bas{\'e}e sur le syst{\`e}me multi-agents et le syst{\`e}me immunitaire artificielpour la maintenance syst{\'e}matique},
	journal = {ICIEM{\textquoteright}14, International Conference on Industrial Engineering and Manufacturing},
	year = {2014},
	url = {http://www.univ-batna,.dz/iciem2014/index.html},
	author = {Abdelhadi Adel}
}
@proceedings {3473,
	title = {Development of a smart algorithm for the prognosis and the diagnosis of the short circuit and the reversed polarity faults in a photovoltaic generator, May, 11-13, Batna, Algeria },
	journal = {ICIEM{\textquoteright}14, International Conference on Industrial Engineering and Manufacturing},
	year = {2014},
	pages = {pp. 245-251},
	url = {http://www.univ-batna,.dz/iciem2014/index.html},
	author = {Rezgui Wail}
}
@proceedings {3472,
	title = {An automatic control of cement production quality May, 11-13, Batna, Algeria,},
	journal = {ICIEM{\textquoteright}14, International Conference on Industrial Engineering and Manufacturing},
	year = {2014},
	pages = {pp. 28-33},
	url = {http://www.univ-batna,.dz/iciem2014/index.html},
	author = {Rezki Djamil}
}
@proceedings {3471,
	title = {Implantation d\&$\#$39;un Algorithme Pour l\&$\#$39;Allocation des Ressources dans un Contexte de Maintenance Distribu{\'e}e pour une Entreprise Etendue (Approche SMA).May, 11-13, Batna, Algeria,},
	journal = {ICIEM{\textquoteright}14, International Conference on Industrial Engineering and Manufacturing},
	year = {2014},
	pages = {pp. 367-373},
	url = {http://www.univ-batna,.dz/iciem2014/index.html},
	author = {Zeghichi Nafissa}
}
@proceedings {3470,
	title = {An e-medicine approach based on Multi Agent system. . May, 11-13, Batna, Algeria },
	journal = {ICIEM{\textquoteright}14, International Conference on Industrial Engineering and Manufacturing},
	year = {2014},
	pages = {pp. 640-645},
	url = {http://www.univ-batna,.dz/iciem2014/index.html},
	author = {Abid Khadidja}
}
@proceedings {3469,
	title = {An agent based approach for quality control and maintenance in production line: Modelling with AUMLMay, 11-13, Batna, Algeria,},
	journal = {ICIEM{\textquoteright}14, International Conference on Industrial Engineering and Manufacturing},
	year = {2014},
	pages = {pp. 634-639},
	url = {http://www.univ-batna,.dz/iciem2014/index.html},
	author = {Rezki Nafissa}
}
@proceedings {3461,
	title = {Formal Specification of a Mobile Agent Based Maintenance for Manufacturing System},
	journal = {ISIA International Symposium on Informatics and its Applications},
	year = {2014},
	author = {Abid Khadidja}
}
@proceedings {3457,
	title = {Designing a mobile agent based M-maintenance: Formal modelling and simulation. . May, 11-13, Batna, Algeria},
	journal = {ICIEM{\textquoteright}14, International Conference on Industrial Engineering and Manufacturing},
	year = {2014},
	pages = {pp. 353-359},
	url = {http://www.univ-batna,.dz/iciem2014/index.html},
	author = {Abid Khadidja}
}
@proceedings {3456,
	title = {Joint quality and Maintenance in Manufacturing System.  May, 11-13, Batna, Algeria},
	journal = {ICIEM{\textquoteright}14, International Conference on Industrial Engineering and Manufacturing},
	year = {2014},
	pages = {pp. 46-49},
	url = {http://www.univ-batna,.dz/iciem2014/index.html},
	author = {Rezki Nafissa}
}
@proceedings {3453,
	title = { Remote control and supervision of a manufacturing system (Application in a cement factory), SSN : 2335-1012},
	journal = {(ICDSD 2014) The second International Conference on Distributed System and Decision},
	year = {2014},
	author = {Hamidene Rabie}
}
@proceedings {3424,
	title = {A smart algorithm for the diagnosis of short-circuit faults in a photovoltaic generator, ISBN: 978-1-4799-3602-1},
	journal = {ICGE{\textquoteright}14 International Conference on Green Energy},
	year = {2014},
	url = {DOI:  10.1109/ICGE.2014.6835412},
	author = {Rezgui Wail}
}
@proceedings {3423,
	title = {A Regression Algorithm for the Smart Prognosis of a Reversed Polarity Fault in a Photovoltaic Generator, ISBN: 978-1-4799-3602-1},
	journal = { ICGE{\textquoteright}14 International Conference on Green Energy},
	year = {2014},
	url = {DOI: 10.1109/ICGE.2014.6835411},
	author = {Rezgui Wail}
}
@proceedings {3415,
	title = {Modeling the PV Generator Behavior Submit to the Open-Circuit and the Short-Circuit Faults. 19-21 Nov,   ISBN: 978-1-4799-7517-4 },
	journal = {  (IEEE EFEA 2014),Third International Symposium on Environment Friendly Energies and Applications.},
	year = {2014},
	pages = {pp. 57-62},
	address = {Paris (France)},
	url = {DOI: 10.1109/EFEA.2014.7059947},
	author = {Rezgui Wail}
}
@proceedings {3414,
	title = {Development of a New Methodology for Modeling the PV Generator Behavior in the Presence of Open-Circuit and Short-Circuit Faults. 19-21 November,ISBN: 978-1-4799-7517-4 },
	journal = {(IEEE EFEA 2014),Third International Symposium on Environment Friendly Energies and Applications.   },
	year = {2014},
	pages = {pp. 445-450},
	address = {Paris France},
	url = {DOI: 10.1109/EFEA.2014.7059947},
	author = {Rezgui Wail}
}
@proceedings {3413,
	title = {Faults Modeling of the Impedance and Reversed Polarity Types within the PV Generator Operation. 19-21 Nov,  ISBN: 978-1-4799-7517-4 },
	journal = {(IEEE EFEA 2014),Third International Symposium on Environment Friendly Energies and Applications},
	year = {2014},
	pages = {pp. 377-382},
	address = {Paris (France)},
	url = {DOI: 10.1109/EFEA.2014.7059947},
	author = {Mouss Leila-Hayet}
}
@proceedings {3412,
	title = { New Algorithm for the IV Characteristic Modeling of the Photovoltaic Generator Malfunction within Impedance and Reversed Polarity Faults19-21 Nov, ISBN: 978-1-4799-7517-4},
	journal = { (IEEE EFEA 2014),Third International Symposium on Environment Friendly Energies and Applications.   },
	year = {2014},
	pages = { pp. 506-512},
	address = {Paris (France)},
	url = {DOI: 10.1109/EFEA.2014.7059947}
}
@book {3396,
	title = {La maitrise de la qualit{\'e} et de la s{\'e}curit{\'e} sanitaire des aliments : Industrie Agroalimentaire, ISSN/ISBN 978-3-8417-4106-6},
	year = {2014},
	pages = {196 pages},
	publisher = {{\'E}ditions~ Universitaires Europ{\'e}ennes. OmniScriptum GmbH \&amp; Co. Broch{\'e}~},
	organization = {{\'E}ditions~ Universitaires Europ{\'e}ennes. OmniScriptum GmbH \&amp; Co. Broch{\'e}~},
	url = {https://www.morebooks.de/store/fr/book/la-maitrise-de-la-qualit\%C3\%A9-et-de-la-s\%C3\%A9curit\%C3\%A9-sanitaire-des-aliments/isbn/978-3-8417-4106-6},
	author = {Benzouai Messaoud and Mouss Leila Hayet}
}
@article {3354,
	title = {l\&rsquo;am{\'e}lioration du processus de fabrication d\&rsquo;une entreprise alg{\'e}rienne par le niveau sigma,  ISSN/ISBN 1112-3613 / 2437-0843},
	journal = {El-Bahith Review},
	volume = {Volume 14},
	number = {Num{\'e}ro 14},
	year = {2014},
	pages = { Pages 61-73 },
	abstract = {Ce modeste travail a pour objectif d{\textquoteright}{\'e}valuer la performance du processus de fabrication de l{\textquoteright}entreprise par un nouvel outil de mesure, en l{\textquoteright}occurrence le niveau sigma dont la finalit{\'e} consiste {\`a} chiffrer les couts inh{\'e}rents {\`a} chaque sous processus de production, mesurer les niveaux six sigma des sous processus adjacents, les pond{\'e}rer pour parvenir {\`a} calculer le DPMO (Defects Per Million Opportunity) et {\'e}valuer ainsi la comp{\'e}titivit{\'e} globale de l{\textquoteright}entreprise. Ce nouvel outil de mesure de la performance du processus de fabrication (niveau sigma) sera appliqu{\'e} {\`a} une entreprise de fabrication de Bouteilles A Gaz (BAG {\textendash} Batna).},
	url = {https://www.asjp.cerist.dz/en/article/260},
	author = {Aoueg Hicham and Kaanit Abdelghafour}
}
@article {3350,
	title = {Electrical faults detection for the intelligent diagnosis of a photovoltaic generator, March 2014, ISSN/ISBN 1582-4594. 1335-3632},
	journal = {JEE Journal of Electrical Engineering,},
	volume = {Vol. 14},
	number = {Issue.1},
	year = {2014},
	pages = {pp. 77-84},
	abstract = {In this paper, we proposed a new mathematical model of the I-V characteristic of a faulty photovoltaic generator. It presents its behavior in normal and faulty operations. In particular, when its basic components such as cells, bypass and blocking diodes are subjected to the impedance or reversed polarity faults. The developed model of the faulty PV generator will allow studying of the I-V characteristic, measures the tolerances of the technical functions, avoids numerous experiments, and ensure better assessment of fault consequences.},
	url = {https://hal.archives-ouvertes.fr/hal-01154200/document},
	author = {Rezgui Wail    Mouss Kinza Nadia and Mouss Leila Hayet and Mouss kinza Nadia}
}
@article {3348,
	title = {Faults modeling of the impedance and reversed polarity types within the PV generator operation, ISSN/ISBN 1974-98211974-983X},
	journal = {IREMOS International Review on Modelling and Simulations.},
	year = {2014},
	abstract = {In this paper, we proposed a new mathematical model of the I-V characteristic of a faulty photovoltaic generator. It presents its behavior in normal and faulty operations. In particular, when its basic components such as cells, bypass and blocking diodes are subjected to the impedance or reversed polarity faults. The developed model of the faulty PV generator will allow studying of the I-V characteristic, measures the tolerances of the technical functions, avoids numerous experiments, and ensure better assessment of fault consequences.},
	url = {https://ieeexplore.ieee.org/document/7059979},
	author = {Rezgui Wail and Mouss kinza Nadia and Mouss Med Djamel}
}
@article {3347,
	title = {Modeling the PV generator behavior submit to the open-circuit and the short-circuit faults,  ISSN/ISBN 1974-9821 / 1974-983X},
	journal = {IREMOS International Review on Modelling and Simulations},
	year = {2014},
	abstract = {In this paper, we proposed a new mathematical model of a faulty photovoltaic generator operation. It presents its behavior, when it{\textquoteright}s subjected to the open-circuit and the short-circuit faults at its basic components as: cells, bypass diodes and blocking diodes. Such kind of modeling will allow developing fault detection and diagnosis methods. Indeed, the proposed model will be used to set normal and fault operation conditions database, which will facilitate learning and classifications phases.},
	url = {https://ieeexplore.ieee.org/document/7059978/metrics$\#$metrics},
	author = {Rezgui Wail and Mouss kinza Nadia and Mouss Leila Hayet}
}
@article {3346,
	title = {Electrical faults modeling of the photovoltaic generator,  ISSN/ISBN 1974-98211974-983X},
	journal = {IREMOS International Review on Modelling and Simulations },
	volume = {Vol.7},
	number = {Issue 2},
	year = {2014},
	pages = {p.245-257},
	abstract = {n this paper, we presented a new methodology for the mathematical modeling of the photovoltaic generator{\textquoteright}s characteristics based on known electrical laws. This proposed new methodology in this work consists of a three new algorithms, each one presents the characteristic of the cell, group of cells, module, string and generator, when one or more of its components : cells, bypass diodes and blocking diodes subjected to these types of defaults: reversed polarity, open circuit, short circuit or impedance. The three new algorithms obtained can facilitate the prediction for the prognosis or the detection for the diagnosis of these photovoltaic generator{\textquoteright}s defaults.},
	url = {https://hal.archives-ouvertes.fr/hal-01017387/document},
	author = {Rezgui Wail and Mouss kinza Nadia and Mouss Med Djamel}
}
@article {3345,
	title = {Smart Algorithm Based on the Optimization of SVR Technique by k-NNR Method for the Prognosis of the Open-Circuit and the Reversed Polarity Faults in a PV Generator, Dec. 2015, ISSN/ISBN  1974-9821 / 1974-983X},
	journal = {IREMOS International Review on Modelling and Simulations. },
	volume = {Vol 8},
	number = {N{\textdegree} 5},
	year = {2014},
	pages = {pp 18-25},
	abstract = {This paper deals with a new smart algorithm allowing open-circuit and reversed polarity faults prognosis in photovoltaic generators. Its contribution lies on the optimization of support vector regression (SVR) technique by a k-NN regression tool (k-NNR) for undetermined outputs. To testing the performance of the proposed algorithm, we used a significant data base containing the generator functioning history, and as indicators we selected variance, standard deviation, Confidence interval, absolute and relative errors. Nomenclature PV Photovoltaic SVM Support Vector Machines SVR Support Vector Regression k-NNR k-Nearest Neighbor Regression X SVR input vector Y SVR output vector f Linear function Ф Nonlinear mapping function w Weight vector e Squared loss function x Problem variable x * New problem variable α Lagrange multipliers N Number of classes m Number of index of minimum distances I / V Current / Voltage IPH Photocurrent},
	url = {https://hal.archives-ouvertes.fr/hal-01154195},
	author = {Rezgui Wail and Mouss Leila Hayet and Mouss kinza Nadia}
}
@article {3343,
	title = {Optimization of SVM Classifier by k-NN for the Smart Diagnosis of the Short-Circuit and Impedance Faults in a PV Generator, Dec 2014,  ISSN/ISBN 1974-9821 / 1974-983X},
	journal = {IREMOS International Review on Modelling and Simulations },
	volume = {Vol.7},
	number = {N{\textdegree}5},
	year = {2014},
	pages = {pp 77-84},
	abstract = {This paper deals with a new algorithm allowing short-circuit and impedance faults smart diagnosis of PV generators. It is based on the use of the SVM technique for the classification of observations not located in its margin, otherwise the proposed algorithm is used a k-NN method. A PV generator database containing observations distributed over classes is used for testing the new algorithm performance, which shows therefore its contribution and its effectiveness in the diagnosis area.},
	url = {https://www.praiseworthyprize.org/jsm/index.php?journal=iremos\&page=article\&op=view\&path\%5B\%5D=16281},
	author = {Rezgui Wail and Mouss kinza Nadia and Mouss Med Djamel}
}
@article {3342,
	title = {{\'E}tude, mise en {\oe}uvre et adaptabilit{\'e} des outils de l\&rsquo;am{\'e}lioration continue dans une industrie alg{\'e}rienne : Approches Th{\'e}orique et Pratique,  ISSN 1479-2494},
	journal = {IJSSCA International Journal of SIX SIGMA and Competitive Advantage},
	volume = {Vol. 9},
	year = {2014},
	pages = { pp. 01-19},
	author = {Aoueg Hicham and Mechennene Athmane}
}
@article {3073,
	title = {Faults modeling of the impedance and reversed polarity types within the PV generator operation, ISSN/ISBN 1974-98211974-983X},
	journal = {IREMOS International Review on Modelling and Simulations. },
	year = {2014},
	abstract = {In this paper, we proposed a new mathematical model of the I-V characteristic of a faulty photovoltaic generator. It presents its behavior in normal and faulty operations. In particular, when its basic components such as cells, bypass and blocking diodes are subjected to the impedance or reversed polarity faults. The developed model of the faulty PV generator will allow studying of the I-V characteristic, measures the tolerances of the technical functions, avoids numerous experiments, and ensure better assessment of fault consequences.},
	url = {https://ieeexplore.ieee.org/document/7059979},
	author = {Rezgui Wail and Mouss kinza Nadia and Mouss Leila Hayet}
}
@article {3071,
	title = {Electrical faults detection for the intelligent diagnosis of a photovoltaic generator, March, ISSN/ISBN 1582-4594/1335-3632.},
	journal = {JEE Journal of Electrical Engineering,},
	volume = {Vol. 14},
	number = {Issue. 1},
	year = {2014},
	pages = {pp. 77-84},
	abstract = {the work presented inthis paper isdedicated to improvingthe methods ofdetection and diagnosisoffaults affectingproduction systems,particularlyphotovoltaic systems.We proposeda newintelligent algorithmfor the detectionand diagnosis ofPVinstallations, capable of detecting and resonateto define thetype of defectsthat canaffectthis typeofsystem. This new algorithmis based onthe notion ofpattern recognition,for that it isable to preparethe representation spaceandthe decision spaceon the one hand,and on the otherhand, theclassificationof all newobservationscollected duringthe functioning of the system. This algorithmmainly based onthe method ofk-nearest neighbor and two toolsof artificial intelligenceto improve thismethod andincreasing the rate ofits classification, which arefuzzy logic tooptimizethe location of thecenters of gravity ofclassesandalsothe new observations,and the neural network thatcan classify thecase of dischargesambiguityandreleasesdistancewhich presentsthe limitations of the methodof thek-nearest neighbor. Wetested the performanceof our algorithm ona databaseofa photovoltaic system at theresearch unit ofGHARDAIAAlgeria.},
	url = {https://pdfs.semanticscholar.org/8d54/cc8ebdfc720b5d95cbb6d4238667874f8799.pdf},
	author = {Rezgui Wail and Mouss Leila Hayet and Kadri Ouahab}
}
@article {3069,
	title = {Modeling the PV generator behavior submit to the open-circuit and the short-circuit faults, ISSN/ISBN 1974-9821/1974-983X},
	journal = {IREMOS International Review on Modelling and Simulations. },
	year = {2014},
	abstract = {In this paper, we proposed a new mathematical model of a faulty photovoltaic generator operation. It presents its behavior, when it{\textquoteright}s subjected to the open-circuit and the short-circuit faults at its basic components as: cells, bypass diodes and blocking diodes. Such kind of modeling will allow developing fault detection and diagnosis methods. Indeed, the proposed model will be used to set normal and fault operation conditions database, which will facilitate learning and classifications phases.},
	url = {https://ieeexplore.ieee.org/document/7059978},
	author = {Rezgui Wail  Mouss Kinza Nadia  Mouss Leila Hayet}
}
@article {3068,
	title = {Electrical faults modeling of the photovoltaic generator, ISSN/ISBN 1974-9821/1974-983X},
	journal = {IREMOS International Review on Modelling and Simulations. },
	volume = {Vol 7},
	number = {N{\textdegree}2},
	year = {2014},
	pages = {pp.245-257},
	abstract = {n this paper, we presented a new methodology for the mathematical modeling of the photovoltaic generator{\textquoteright}s characteristics based on known electrical laws. This proposed new methodology in this work consists of a three new algorithms, each one presents the characteristic of the cell, group of cells, module, string and generator, when one or more of its components : cells, bypass diodes and blocking diodes subjected to these types of defaults: reversed polarity, open circuit, short circuit or impedance. The three new algorithms obtained can facilitate the prediction for the prognosis or the detection for the diagnosis of these photovoltaic generator{\textquoteright}s defaults. },
	url = {https://hal.archives-ouvertes.fr/hal-01017387/document},
	author = {Rezgui Wail and Mouss Leila Hayet and Mouss Med Djamel}
}
@article {3065,
	title = {Optimization of SVM Classifier by k-NN for the Smart Diagnosis of the Short-Circuit and Impedance Faults in a PV Generator, Decembre, ISSN/ISBN 1974-9821/1974-983X},
	journal = {IREMOS International Review on Modelling and Simulations},
	volume = {Vol.7},
	number = {N{\textdegree}5},
	year = {2014},
	pages = {pp 77-84},
	abstract = {This paper deals with a new algorithm allowing short-circuit and impedance faults smart diagnosis of PV generators. It is based on the use of the SVM technique for the classification of observations not located in its margin, otherwise the proposed algorithm is used a k-NN method. A PV generator database containing observations distributed over classes is used for testing the new algorithm performance, which shows therefore its contribution and its effectiveness in the diagnosis area.},
	url = { https://doi.org/10.15866/iremos.v7i5.3442},
	author = {Rezgui Wail and Mouss kinza Nadia and Mouss Med Djamel}
}
@article {3001,
	title = {Faults modeling of the impedance and reversed polarity types within the PV generator operation, ISSN/ISBN 1974-9821 / 1974-983X},
	journal = {IREMOS International Review on Modelling and Simulations.},
	year = {2014},
	abstract = {In this paper, we proposed a new mathematical model of the I-V characteristic of a faulty photovoltaic generator. It presents its behavior in normal and faulty operations. In particular, when its basic components such as cells, bypass and blocking diodes are subjected to the impedance or reversed polarity faults. The developed model of the faulty PV generator will allow studying of the I-V characteristic, measures the tolerances of the technical functions, avoids numerous experiments, and ensure better assessment of fault consequences.},
	url = {https://hal.archives-ouvertes.fr/hal-01154200/document},
	author = {Rezgui Wail and Mouss kinza Nadia and Mouss Leila Hayet}
}
@article {3000,
	title = {A New Method Based on Multi Agent System and Artificial Immune System for Systematic Maintenance, ISSN/ISBN 2040-7459 /2040-7467 \&copy; Maxwell Scientific Organization, 2014},
	journal = {RJASET Research Journal of Applied Sciences, Engineering and Technology},
	volume = {7},
	number = {19},
	year = {2014},
	pages = {4008-4017},
	abstract = {This study propose a novel method for the integration of systematic preventive maintenance policies in hybrid flow shop scheduling. The proposed approach is inspired by the behavior of the human body. We have implemented a problem-solving approach for optimizing the processing time, methods based on M{\'e}taheuristiques. This hybridization is between a Multi agent system and inspirations of the human body, especially artificial immune system. The effectiveness of our approach has been demonstrated repeatedly in this study. The proposed approach is applied to three preventive maintenance policies. These policies are intended to maximize the availability or to maintain a minimum level of reliability during the production chain. The results show that our algorithm outperforms existing algorithms. We assumed that the machines might be unavailable periodically during the production scheduling.},
	url = {https://pdfs.semanticscholar.org/452d/4b6197de0ff91f28e20c4558cfd750365772.pdf},
	author = {Abdelhadi Adel and Mouss Leila Hayet}
}
@article {1867,
	title = {Electrical faults detection for the intelligent diagnosis of a photovoltaic generator, March 2014, ISSN/ISBN: 1582-4594 / 1335-3632.},
	journal = { Journal of Electrical Engineering (JEE)},
	volume = {14},
	number = {01},
	year = {2014},
	pages = {77-84},
	abstract = {
	In this paper, we proposed a new



	mathematical model of the I-V characteristic of a faulty



	photovoltaic generator. It presents its behavior in normal



	and faulty operations. In particular, when its basic



	components such as cells, bypass and blocking diodes are



	subjected to the impedance or reversed polarity faults.



	The developed model of the faulty PV generator will



	allow studying of the I-V characteristic, measures the



	tolerances of the technical functions, avoids numerous



	experiments, and ensure better assessment of fault



	consequences.

},
	url = {https://hal.archives-ouvertes.fr/hal-01154200},
	author = {Rezgui Wail and Rezgui Wail and Kadri Ouahab}
}
@article {1835,
	title = {Modeling the PV generator behavior submit to the open-circuit and the short-circuit faults, Novembre 2014, ISSN/ISBN: 1974-9821/1974-983X},
	journal = {International Review on Modelling and Simulations(IREMOS)},
	year = {2014},
	abstract = {In this paper, we proposed a new mathematical model of a faulty photovoltaic generator operation. It presents its behavior, when it{\textquoteright}s subjected to the open-circuit and the short-circuit faults at its basic components as: cells, bypass diodes and blocking diodes. Such kind of modeling will allow developing fault detection and diagnosis methods. Indeed, the proposed model will be used to set normal and fault operation conditions database, which will facilitate learning and classifications phases.},
	url = {https://ieeexplore.ieee.org/document/7059978/metrics},
	author = {Rezgui Wail and Mouss kinza Nadia and Mouss Leila Hayet}
}
@article {1830,
	title = {Electrical faults modeling of the photovoltaic generator, juillet 2014, ISSN/ISBN: 1974-9821/1974-983X},
	journal = {International Review on Modelling and Simulations(IREMOS)},
	volume = {07},
	number = {02},
	year = {2014},
	pages = {245-257},
	abstract = {In this paper, we presented a new methodology for the mathematical modeling of the photovoltaic generator{\textquoteright}s characteristics based on known electrical laws. This proposed new methodology in this work consists of a three new algorithms, each one presents the characteristic of the cell, group of cells, module, string and generator, when one or more of its components : cells, bypass diodes and blocking diodes subjected to these types of defaults: reversed polarity, open circuit, short circuit or impedance. The three new algorithms obtained can facilitate the prediction for the prognosis or the detection for the diagnosis of these photovoltaic generator{\textquoteright}s defaults.},
	url = {https://hal.archives-ouvertes.fr/hal-01017387},
	author = {Rezgui Wail and Mouss Leila Hayet and Mouss Med Djamel}
}
@article {1736,
	title = {Smart Algorithm Based on the Optimization of SVR Technique by k-NNR Method for the Prognosis of the Open-Circuit and the Reversed Polarity Faults in a PV Generator, Decembre 2015, ISSN/ISBN: 1974-9821/1974-983X},
	journal = {International Review on Modelling and Simulations(IREMOS)},
	volume = {08},
	number = {05},
	year = {2014},
	pages = {18-25},
	abstract = {This paper deals with a new smart algorithm allowing open-circuit and reversed polarity faults prognosis in photovoltaic generators. Its contribution lies on the optimization of support vector regression (SVR) technique by a k-NN regression tool (k-NNR) for undetermined outputs. To testing the performance of the proposed algorithm, we used a significant data base containing the generator functioning history, and as indicators we selected variance, standard deviation, Confidence interval, absolute and relative errors. Nomenclature PV Photovoltaic SVM Support Vector Machines SVR Support Vector Regression k-NNR k-Nearest Neighbor Regression X SVR input vector Y SVR output vector f Linear function Ф Nonlinear mapping function w Weight vector e Squared loss function x Problem variable x * New problem variable α Lagrange multipliers N Number of classes m Number of index of minimum distances I / V Current / Voltage IPH Photocurrent},
	url = {https://hal.archives-ouvertes.fr/hal-01154195},
	author = {Rezgui Wail and Mouss Leila Hayet and Mouss Med Djamel}
}
@article {1733,
	title = {Optimization of SVM Classifier by k-NN for the Smart Diagnosis of the Short-Circuit and Impedance Faults in a PV Generator, Decembre 2014, ISSN/ISBN: 1974-9821/1974-983X.},
	journal = {International Review on Modelling and Simulations(IREMOS)},
	volume = {07},
	number = {05},
	year = {2014},
	pages = {77-84. },
	abstract = {his paper deals with a new algorithm allowing short-circuit and impedance faults smart diagnosis of PV generators. It is based on the use of the SVM technique for the classification of observations not located in its margin, otherwise the proposed algorithm is used a k-NN method. A PV generator database containing observations distributed over classes is used for testing the new algorithm performance, which shows therefore its contribution and its effectiveness in the diagnosis area.Copyright {\textcopyright} 2014 Praise Worthy Prize - All rights reserved.},
	url = { https://doi.org/10.15866/iremos.v7i5.3442	},
	author = {Rezgui Wail and Mouss kinza Nadia and Mouss Med Djamel}
}
@mastersthesis {6159,
	title = {Optimisation de Flux de Production par une Approche Enum{\'e}rative},
	year = {2013},
	author = {Boukalkoul Zakaria}
}
@mastersthesis {6158,
	title = {La mod{\'e}lisation par chaine de processus {\'e}v{\'e}nement (CPE) et pr{\'e}sentation du tableau de bord prospective (TBP)pour {\'e}laboration d\&rsquo;un processus d{\'e}cisionnel en situation d\&rsquo;urgence dans soci{\'e}t{\'e}},
	year = {2013},
	author = {Bourhil Salim}
}
@mastersthesis {6157,
	title = {Le Mind Mapping pour l\&rsquo;entreprise},
	year = {2013},
	author = {Bouzid Abdelah}
}
@mastersthesis {6156,
	title = {Choix des investissements par les arbres de d{\'e}cision flous},
	year = {2013},
	author = {Soltani Fouad}
}
@mastersthesis {6155,
	title = {Optimisation et maitrise des processus de qualit{\'e} par une combinaison des m{\'e}thodes lean manufacturing et six sigma bas{\'e}es sur des outils  d\&rsquo;aide {\`a} la d{\'e}cision},
	year = {2013},
	author = {Braba Nassima}
}
@mastersthesis {6154,
	title = {Les m{\'e}thodes de r{\'e}solution du probl{\`e}me de sac a dos},
	year = {2013},
	author = {Takallalet Mohamed}
}
@mastersthesis {6067,
	title = {Strat{\'e}gie de d{\'e}ploiement de la qualit{\'e} pour la pr{\'e}vention des risques dans les {\'e}tablissements de sant{\'e} },
	year = {2013},
	author = {Benzouai Messaoud}
}
@mastersthesis {6066,
	title = {D{\'e}veloppement d\&rsquo;un syst{\`e}me de E-Management de connaissances pour l\&rsquo;am{\'e}lioration des performances d\&rsquo;un syst{\`e}me de Production },
	year = {2013},
	author = {Aitouche Samia}
}
@mastersthesis {6027,
	title = {Conception et simulation d\&$\#$39;un syst{\`e}me de gestion de donn{\'e}es techniques appliqu{\'e} {\`a} une entreprise de production },
	year = {2013},
	author = {Mokhtari Djamel}
}
@mastersthesis {6026,
	title = {La r{\'e}solution des probl{\`e}mes de s{\'e}lection des fournisseurs  par les methodes math{\'e}matique et multicriteres },
	year = {2013},
	author = {Touati Kamel}
}
@mastersthesis {6025,
	title = {Am{\'e}lioration de la performance par les m{\'e}thodes multicrit{\'e}re multi-acteur},
	year = {2013},
	author = {Kaouane Haroune}
}
@mastersthesis {6024,
	title = {Simulation des param{\`e}tres techniques, sous TRNSYS, d\&rsquo;un syst{\`e}me solaire thermique {\`a} capteurs plans,  destin{\'e}e aux besoins de l\&rsquo;industrie agroalimentaire},
	year = {2013},
	author = {Maadjoudj Mohamed}
}
@mastersthesis {6023,
	title = {Mod{\'e}lisation et simulation d\&rsquo;un syst{\`e}me photovolta{\"\i}que connect{\'e} au r{\'e}seau {\'e}lectrique sous logiciel HOMER Energy sous la plateforme linux},
	year = {2013},
	author = {Messlem Houari}
}
@mastersthesis {6022,
	title = {Elaboration d\&$\#$39;un programme informatique pour le pilotage d\&$\#$39;un syst{\`e}me de pompage d\&$\#$39;eau, {\'e}quip{\'e} d\&$\#$39;un variateur de vitesse en vue d\&$\#$39;optimiser sa consommation d\&$\#$39;{\'e}nergie },
	year = {2013},
	author = {Benaldjia El-Hachemi}
}
@mastersthesis {5930,
	title = {Interfa{\c c}age PC-API dans la gestion des laboratoires d\&$\#$39;Analyses M{\'e}dicales},
	year = {2013},
	author = {Akssa Abdeldjalil and Oulmi Sami}
}
@mastersthesis {5928,
	title = {Etude de l\&rsquo;unit{\'e} de traitement de p{\'e}trole OOS},
	year = {2013},
	author = {Douglas Danje}
}
@mastersthesis {5927,
	title = {Etude du syst{\`e}me anti incendie (fire and gaz) du champ de Gasi ElAgreb},
	year = {2013},
	author = {Menasria Walid}
}
@mastersthesis {5926,
	title = {Impl{\'e}mentation d\&$\#$39;une base de connaissances pour le diagnostic des d{\'e}faillances dans une centrale {\'e}lectrique},
	year = {2013},
	author = {Belazaoui Hayet}
}
@mastersthesis {5925,
	title = {Conception d\&$\#$39;un tableau de bord du capital social d\&$\#$39;un syst{\`e}me industriel},
	year = {2013},
	author = {Messaoudi Bessam and Boutelis Taqiyeddine}
}
@mastersthesis {5924,
	title = {Etude de la partie informatique d\&$\#$39;un syst{\`e}me de cockpit d\&$\#$39;avion (partie mat{\'e}rielle) },
	year = {2013},
	author = {Arour Amine}
}
@mastersthesis {5917,
	title = {Reconnaissance vocale des mots isol{\'e}s: application aux machines industrielles},
	year = {2013},
	author = {Benkhmis Yasser and Messaoudi Mohamed}
}
@mastersthesis {5916,
	title = {Etude et R{\'e}alisation d\&$\#$39;un syst{\`e}me expert en Diagnostic M{\'e}dical},
	year = {2013},
	author = {Youb Khaled}
}
@mastersthesis {5915,
	title = {Logiciel de Gestion du Parc Informatique de l\&$\#$39;Universit{\'e}de Batna},
	year = {2013},
	author = {Azoui Hocine}
}
@mastersthesis {5914,
	title = {Enseignement Int{\'e}ractif},
	year = {2013},
	author = {Ghoulem Abdelaziz}
}
@mastersthesis {5913,
	title = {Conception d\&$\#$39;un Syst{\`e}me de e-management des ressources humaines d\&$\#$39;un syst{\`e}de production},
	year = {2013},
	author = {Fadel Khaled}
}
@mastersthesis {5912,
	title = {Evaluation du Capital Intellectuel d\&$\#$39;un syst{\`e}me de production utilisant la m{\'e}thode VAIC (Value Added Intellectual Coefficient) },
	year = {2013},
	author = {Hadadi Nawel}
}
@mastersthesis {5911,
	title = {Mod{\'e}lisation et Simulation d\&$\#$39;une centrale {\'e}lectrique {\`a} gaz},
	year = {2013},
	author = {Bouafia Dalila}
}
@mastersthesis {5831,
	title = {L\&rsquo;application des algorithmes de colonies de fourmis pour le Diagnostic des syst{\`e}mes dynamique et complexes},
	year = {2013},
	author = {Kadri Ouahab}
}
@mastersthesis {5830,
	title = {Contribution {\`a} la surveillance dynamique des syst{\`e}mes de production {\'e}volutifs par les syst{\`e}mes Neuro-Flous Temporels},
	year = {2013},
	author = {Mahdaoui Rafik}
}
@mastersthesis {5774,
	title = {Conception d\&rsquo;une interface IHM  partag{\'e}e pour l\&rsquo;am{\'e}lioration du syst{\`e}me  de supervision SCADA des puits du champ p{\'e}trolier BRN (Bir Rebaa Nord )},
	year = {2013},
	author = {Derradji Ramzi}
}
@mastersthesis {5773,
	title = {Am{\'e}lioration des performances du syst{\`e}me de commande distribu{\'e}e DCS (Distributed Control System) Honeywell TDC3000 du champ p{\'e}trolier BRN (Bir Rebaa Nord).},
	year = {2013},
	author = {Bendekhech Nouh}
}
@mastersthesis {5772,
	title = {Conception du syst{\`e}me de management d\&rsquo;information d\&rsquo;un syst{\`e}me de production {\`a} distance avec PCS 7},
	year = {2013},
	author = {Mamadou Mody Guidjira}
}
@conference {4687,
	title = {Fuzzy Alpha-cuts to capture customer requirements in improving product development, ISBN:978-1-4799-1152-3},
	booktitle = {In the Proceedings the‎ 11th International Symposium on Programming and Systems, , ‎(ISPS IEEE) Algiers, Algeria},
	year = {2013},
	pages = {pp. 1-6},
	url = {‎ID10.1109/ISPS.2013.6581493},
	author = {Bencherif Fateh and Mouss Leila Hayet and Benaicha Sonia}
}
@conference {4686,
	title = {New Approach Based on ANFIS Computation to Study the Threshold Voltage Behavior Including Trap Effects for Nanoscale DG MOSFETs,  ISBN: 978-988-19252-8-2 ISSN: 2078-0958 (Print); ISSN: 2078-0966 (Online)},
	booktitle = {In the Proceedings of the World Congress on Engineering WCE 2013 London, U.K},
	volume = {Vol II},
	year = {2013},
	author = {Bentrcia Toufik and Djeffal Fay{\c c}al and Meguellati Mohamed and Arar Djemai}
}
@conference {4685,
	title = { ANFIS-based computation to study the nanoscale circuit including the hot-carrier and quantum confinement effects  In the Proceedings of the 5th IEEE,  ISBN: 978-1-4673-5812-5},
	booktitle = {International ‎Conference on ‎Modelling, Simulation and Applied Optimization, (ICMSAO IEEE) Hammamet, Tunisia },
	year = {2013},
	pages = {pp. 1-5},
	url = {https://ieeexplore.ieee.org/document/6552680?tp=\&arnumber=6552680\&searchWithin\%3Dp_Authors:.QT.Meguellati,\%20M..QT.=},
	author = {Bentrcia Toufik and Djeffal Fay{\c c}al and Arar Djemai and Meguellati Mohamed}
}
@proceedings {4684,
	title = {Fuzzy relative importance \&lrm;of \&lrm;customer \&lrm;requirements in Improving Product Development. In the Proceedings of the 5th IEEE,  ISBN: 978-1-4673-5812-5},
	journal = {International ‎Conference on ‎Modelling, Simulation and Applied Optimization, (ICMSAO IEEE) Hammamet, Tunisia },
	year = {2013},
	pages = {pp 1-6},
	url = {DOI 10.1109/ICMSAO.2013.6552663},
	author = {Bencherif Fateh and Mouss Leila Hayet and Meguellati Mohamed}
}
@proceedings {4683,
	title = {Optimization of Single-Manufacturer Multiple-Contractors Outsourcing Relationship in Integrated Approach of Production, Maintenance and Quality, submitted in IEEE International},
	journal = {Conference on Systems, Man, and Cybernetics (SMC{\textquoteright}13) Manchester, UK},
	year = {2013},
	author = {Haoues Mohamed and M.Dahane and Mouss Nadia. Kinza and N.Rezg}
}
@proceedings {4682,
	title = {Production Planning in Integrated Maintenance Context for Multi-Period Multi-Product Failure-Prone Single-Machine, submitted in 18th IEEE},
	journal = {Conference on Emerging Technologies and Factory Automation (ETFA{\textquoteright}13) Cagliari, Italy},
	year = {2013},
	author = {Haoues Mohamed and M.Dahane and Mouss Nadia. Kinza and N.Rezg}
}
@conference {4681,
	title = {Integrated Optimisation of In-House Production and Outsourcing Strategy: Genetic Algorithm Based Approach, in the 11th IFAC},
	booktitle = {Workshop on Intelligent Manufacturing Systems (IMS{\textquoteright}13) S{\~a}o Paulo, Brazil},
	year = {2013},
	author = {M. Haoues and M.Dahane and Mouss Nadia. Kinza and N.Rezg}
}
@conference {4680,
	title = {A Layered M-Maintenance Architecture Powered by Agent Technology, in Proceedings of IEEE},
	booktitle = {Workshops on Enabling Technologies: Infrastracture for Collaborative Enterprises WETICE Hammamat, Tunisia },
	year = {2013},
	pages = {pp. 1-7},
	url = {http://www.wikicfp.com/cfp/program?id=3053\&s=WETICE\&f=Workshops\%20on\%20Enabling\%20Technologies:\%20Infrastracture\%20for\%20Collaborative\%20Enterprises},
	author = {Abid Khadija and Rezki Nafissa and Mouss Leila Hayet and Kazar Okba}
}
@conference {4679,
	title = {Modeling of a photovoltaic field in malfunctioning, in Proceedings of IEEE \&amp; CSS, ISBN: 978-1-4244-9796-6},
	booktitle = {The International Conference on Control, Decision and Information Technologies CoDIT Hammamet, Tunisia},
	year = {2013},
	author = {Rezgui Wail and Mouss Leila Hayet and Mouss Med Djamel}
}
@conference {4678,
	title = {Development of an Industrial Application with Neuro-Fuzzy Systems.in Proceedings of IEEE \&amp; CSS, ISBN: 978-1-4244-9796-6},
	booktitle = {The International Conference on Control, Decision and Information Technologies CoDIT Hammamet, Tunisia},
	year = {2013},
	author = {Benaicha Sonia and Zermane Hanane and Mouss Leila Hayet and Bencherif Fateh}
}
@proceedings {4677,
	title = {Recognition of objects in an image for triage application, ISBN: 978-1-4244-9796-6},
	journal = {The International Conference on Control, Decision and Information Technologies CoDIT Hammamet, Tunisia},
	year = {2013},
	author = {Bellal Salah Eddine and Mouss Leila Hayet and Bensaadi Rafik}
}
@conference {4676,
	title = { Metaheuristic Approach for Solving the Vehicle routing problem: Application in Pharmaceutical Company. In Proceedings of IEEE Control, Decision and Information Technologies , in Proceedings of IEEE \&amp; CSS, ISBN: 978-1-4244-9796-6},
	booktitle = {The International Conference on Control, Decision and Information Technologies CoDIT Hammamet, Tunisia},
	year = {2013},
	author = {Smaili Yamina and Senoussi Ahmed and Mouss Nadia. Kinza}
}
@conference {4675,
	title = {Design of multi-agent system for quality control and machine maintenance. , in Proceedings of IEEE \&amp; CSS, ISBN: 978-1-4244-9796-6},
	booktitle = {The International Conference on Control, Decision and Information Technologies CoDIT Hammamet, Tunisia},
	year = {2013},
	author = {Rezki Nafissa and Mouss Leila Hayet and Kazar Okba}
}
@conference {4674,
	title = {Automation and fuzzy control of a manufacturing system, in Proceedings of IEEE \&amp; CSS, ISBN: 978-1-4244-9796-6},
	booktitle = {The International Conference on Control, Decision and Information Technologies CoDIT Hammamet, Tunisia },
	year = {2013},
	author = {Zermane Hanane and Mouss Leila Hayet and Benaicha Sonia}
}
@conference {4666,
	title = {Strong formulations for a capacitated multi-vehicle Production-distribution Problem; In Proceedings of IEEE},
	booktitle = { Industrial Engineering and Systems Management (IESM), Rabat,  Morocco},
	year = {2013},
	pages = {pp 1-7    },
	url = {https://hal.inria.fr/index.php?halsid=u75aaocmrglodqt0keqms14qr7\&view_this_doc=hal-00879812\&version=1},
	author = {Senoussi Ahmed and Mouss Kinza and B.Penz and Brahimi Nadjia}
}
@proceedings {4665,
	title = {Performances Analysis of Grid connected PV system in the perspective of use in a smart house in Algeria, ISBN: 978-1-4673-6374},
	journal = {IRSEC International Renewable and Sustainable Energy Conference, Ouarzazate - Morocco},
	year = {2013},
	pages = { pp 521 {\textendash} 524},
	author = {Ghouari Adel and Hamouda Cha{\^a}bane and Chaghi Aziz}
}
@conference {4664,
	title = {Investigation on the use of solar thermal energy in the agro food industry in Algeria, ISBN: 978-1-4673-6373-0},
	booktitle = {IRSEC{\textquoteright}13 International Renewable and Sustainable Energy Conference. The Mediterranean Space of Technology and Innovation with the partnership of the Moroccan Agency of Solar Energy (MASEN) and the Polydisciplinary Faculty},
	year = {2013},
	pages = { pp.167-170},
	author = {B.Boutaghriout and Bouakaz Amina and Hamouda Cha{\^a}bane and H.Smadi and A.Malek}
}
@proceedings {3594,
	title = {Mod{\'e}lisation de Probl{\`e}me Ordonnancement d\&rsquo;Atelier Job Shop avec Contrainte de Blocage par les R{\'e}seaux de P{\'e}tri},
	journal = {JSS-14. Journ{\'e}es Sur Les Signaux \& Syst{\`e}mes},
	year = {2013},
	author = {Driss Imen}
}
@proceedings {3583,
	title = {Amelioration of CICM Model against GERAM requirements  May 12-14 University 8 Mai 1945-Guelma, Algeria},
	journal = {CSIP{\textquoteright}13; The third International Conference on System and Information Processing},
	year = {2013},
	url = {http://www.univ-guelma.dz/icsip13/index.html},
	author = {Kaanit Abdelghafour}
}
@proceedings {3566,
	title = {L\&rsquo;intelligence Artificielle pour l\&rsquo;Optimisation d\&rsquo;un Probl{\`e}me de Transport : Une Application Pratique},
	journal = {ICSIP{\textquoteright}13; The third International Conference on System and Information Processing},
	year = {2013},
	url = {http://www.univ-guelma.dz/icsip13/index.html},
	author = {Smaili Yamina}
}
@proceedings {3555,
	title = {M{\'e}ta heuristique pour l\&rsquo;Optimisation du probl{\`e}me de logistique de Distribution},
	journal = {CPI{\textquoteright}2013 The 8th International Conference on Integrated Design and Production},
	year = {2013},
	author = {Smaili Yamina}
}
@proceedings {3554,
	title = {Conception d\&rsquo;un outil d\&rsquo;{\'e}valuation des performances d\&rsquo;un syst{\`e}me de production},
	journal = {CPI{\textquoteright}2013 The 8th International Conference on Integrated Design and Production},
	year = {2013},
	author = {Bouhidel lynda}
}
@proceedings {3553,
	title = {A Genetic Algorithm for Job Shop Scheduling Problems:  A state-of-the-art and perspective},
	journal = {CPI{\textquoteright}2013 The 8th International Conference on Integrated Design and Production},
	year = {2013},
	author = {Driss Imen}
}
@proceedings {3552,
	title = {Metaheuristic Approach for Solving the Vehicle routing problem: Application in Pharmaceutical Company},
	journal = {(CoDIT 2013), International Conference on Control, Decision and Information Technologies},
	year = {2013},
	author = {Rezgui Wail}
}
@proceedings {3551,
	title = { Investigation on the use of solar thermal energy in the agro food industry in Algeria.  Faculty of Ouarzazate-Morocco, , ISBN: 978-1-4673-6373-0 IEEE, March 07-09},
	journal = {IRSEC{\textquoteright}13 International Renewable and Sustainable Energy Conference. The Mediterranean Space of Technology and Innovation with the partnership of the Moroccan Agency of Solar Energy (MASEN) and the Polydisciplinary},
	year = {2013},
	pages = {pp.167-170},
	author = {Boutagriouet Baddredine}
}
@proceedings {3549,
	title = {Metaheuristic Approach for Solving the Vehicle routing problem: Application in Pharmaceutical Company},
	journal = {(CoDIT 2013), International Conference on Control, Decision and Information Technologies},
	year = {2013},
	author = {Smaili Yamina}
}
@proceedings {3544,
	title = {Metaheuristic Approach for Solving the Vehicle routing problem: Application in Pharmaceutical Company},
	journal = {(CoDIT 2013), International Conference on Control, Decision and Information Technologies},
	year = {2013},
	author = {Rezgui Wail}
}
@proceedings {3541,
	title = {Production Planning in Integrated Maintenance Context for Multi-Period Multi-Product Failure-Prone Single-Machine},
	journal = {ETFA{\textquoteright}13 18th IEEE Conference on Emerging Technologies and Factory Automation.Cagliari, ITALY},
	year = {2013},
	author = {Haoues Mohamed}
}
@proceedings {3537,
	title = {Optimization of Single-Manufacturer Multiple-Contractors Outsourcing Relationship in Integrated Approach of Production, Maintenance and Quality},
	journal = {SMC{\textquoteright}13 IEEE International Conference on Systems, Man, and Cybernetics MANCHESTER, UK},
	year = {2013},
	author = {Haoues Mohamed}
}
@proceedings {3536,
	title = {Integrated Optimization of In-House Production and Outsourcing Strategy: Genetic Algorithm Based Approach},
	journal = {IMS{\textquoteright}13  11th IFAC Workshop on Intelligent Manufacturing Systems.S{\~a}o Paulo, BRAZIL},
	year = {2013},
	author = {Haoues Mohamed}
}
@proceedings {3523,
	title = {Performances Analysis of Grid connected PV system in the perspective of use in a smart house in Algeria. IEEE, ISBN: 978-1-4673-6373-0},
	journal = {IRSEC{\textquoteright}13 International Renewable and Sustainable Energy Conference. The Mediterranean Space of Technology and Innovation with the partnership of the Moroccan Agency of Solar Energy (MASEN) and the Polydisciplinar},
	year = {2013},
	pages = {pp. 521 - 524},
	author = {Ghouari Adel}
}
@proceedings {3522,
	title = { Investigation on the use of solar thermal energy in the agro food industry in Algeria.  Faculty of Ouarzazate-Morocco, , ISBN: 978-1-4673-6373-0 IEEE, 07-09 March},
	journal = {IRSEC{\textquoteright}13 International Renewable and Sustainable Energy Conference. The Mediterranean Space of Technology and Innovation with the partnership of the Moroccan Agency of Solar Energy (MASEN) and the Polydisciplinary},
	year = {2013},
	pages = {pp.167-170},
	author = {Boutagriouet Badreddine}
}
@proceedings {3518,
	title = {Building a SCADA system by using DCS to monitor remote flow manager (Flowboss). Forum international de technologie M2M. Machine to Machine},
	journal = {IQPC International Quality \& Productivity Centre},
	year = {2013},
	url = {http://www.waset.org/conferences/2012/dubai/ickm},
	author = {Aouedj Mounir}
}
@proceedings {3513,
	title = { SVM and Fuzzy-neural network for the diagnosis by pattern recognition of a photovoltaic systemة ISBN : 978-9931-9117-0-8},
	journal = {CPI{\textquoteright}2013 The 8th International Conference on Integrated Design and Production   },
	year = {2013},
	author = {Rezgui Wail}
}
@proceedings {3487,
	title = {Commande Neuro-Floue d\&rsquo;un Syst{\`e}me de Clink{\'e}risation},
	journal = {ICEO{\textquoteright}2013, The International Conference On Electronics \& Oil: From Theory To Applications},
	year = {2013},
	author = {Benaicha Sonia}
}
@proceedings {3486,
	title = {D{\'e}veloppement d\&rsquo;un Syst{\`e}me Intelligent pour le contr{\^o}le d\&rsquo;un syst{\`e}me complexe de production},
	journal = {ICEO{\textquoteright}2013, The International Conference On Electronics \& Oil: From Theory To Applications},
	year = {2013},
	author = {Benaicha Sonia}
}
@proceedings {3483,
	title = {Contr{\^o}le d\&rsquo;un syst{\`e}me de production par PCS7 et FuzzyControl++},
	journal = {ICEO{\textquoteright}2013, The International Conference On Electronics \& Oil: From Theory To Applications},
	year = {2013},
	author = {Zermane Hanane}
}
@proceedings {3468,
	title = {Reconnaissance d\&$\#$39;objets dans une image pour une application de tri .May 12-14, Guelma, Algeria},
	journal = {ICSIP{\textquoteright}13; The third International Conference on System and Information Processing},
	year = {2013},
	url = {http://www.univ-guelma.dz/icsip13/index.html},
	author = {Bellal Salah Eddine}
}
@proceedings {3467,
	title = {Commande Neuro-Floue temporelle pour la conduite du Four (Application {\`a} la cimenterie d\&rsquo;Ain Touta), May 12-14,  Guelma, Algeria},
	journal = {ICSIP{\textquoteright}13; The third International Conference on System and Information Processing},
	year = {2013},
	url = {http://www.univ-guelma.dz/icsip13/index.html},
	author = {Benaicha Sonia}
}
@proceedings {3460,
	title = {Automatisation Et Contr{\^o}le Flou D\&rsquo;un Syst{\`e}me De Production},
	journal = {ICSIP{\textquoteright}13; The third International Conference on System and Information Processing},
	year = {2013},
	url = {http://www.univ-guelma.dz/icsip13/index.html},
	author = {Zermane Hanane}
}
@proceedings {3458,
	title = {Multi-agent system for joint product quality control and machine maintenance},
	journal = {ICSIP{\textquoteright}13; The third International Conference on System and Information Processing},
	year = {2013},
	url = {http://www.univ-guelma.dz/icsip13/index.html},
	author = {Rezki Nafissa}
}
@proceedings {3449,
	title = {Automatisation d\&rsquo;un syst{\`e}me de contr{\^o}le flou avec PCS7 et FuzzyControl++ (Application au sein de la cimenterie d\&rsquo;Ain Touta)},
	journal = {ICSENT{\textquoteright}2012, International Conference on Software Engineering and New technologies},
	year = {2013},
	url = {http://www.ijist.net/ICSENT12/},
	author = {Benaicha Sonia}
}
@proceedings {3447,
	title = {Formal Specification of a Mobile Agent Based Maintenance for Manufacturing Systems},
	journal = {VECoS  7th International Workshop on Verification and Evaluation of Computer and Communication Systems},
	year = {2013},
	url = {http://vecos.ensta-paristech.fr/2013/},
	author = {Zermane Hanane}
}
@proceedings {3431,
	title = {SVM and Fuzzy-neural network for the diagnosis by pattern recognition of a photovoltaic system, ISBN : 978-9931-9117-0-8},
	journal = {CPI{\textquoteright}2013 The 8th International Conference on Integrated Design and Production},
	year = {2013},
	author = {Rezgui Wail}
}
@proceedings {3430,
	title = {Une m{\'e}thode pour l\&rsquo;optimisation du processus de d{\'e}veloppement du produit bas{\'e}e sur la matrice de structure de conception, ISBN : 978-9931-9117-0-8},
	journal = { CPI{\textquoteright}2013 The 8th International Conference on Integrated Design and Production},
	year = {2013},
	author = {Bencherif Fateh}
}
@proceedings {3429,
	title = {Contr{\^o}le flou et marche automatique d\&rsquo;un atelier de broyage cru (Application {\`a} la cimenterie d\&rsquo;Ain Touta SCIMAT, ISBN : 978-9931-9117-0-8},
	journal = {CPI{\textquoteright}2013 The 8th International Conference on Integrated Design and Production},
	year = {2013},
	author = {Zermane Hanane}
}
@proceedings {3428,
	title = {Fuzzy Quality Function Deployment: A method to improve Product Development Planning phase, ISBN : 978-9931-9117-0-8},
	journal = {CPI{\textquoteright}2013 The 8th International Conference on Integrated Design and Production},
	year = {2013},
	author = {Bencherif Fateh}
}
@proceedings {3427,
	title = {Contr{\^o}le Neuro-Flou Temporel de la marche automatique d\&rsquo;un Four Rotatif d\&rsquo;une Cimenterie,  ISBN : 978-9931-9117-0-8},
	journal = {PI{\textquoteright}2013 The 8th International Conference on Integrated Design and Production},
	year = {2013},
	author = {Benaicha Sonia}
}
@proceedings {3426,
	title = {D{\'e}veloppement d\&rsquo;un Syst{\`e}me Expert Connexionniste {\`a} Base des M{\'e}thodes de S{\^u}ret{\'e} de Fonctionnement: Application au Diagnostic d\&rsquo;un Bior{\'e}acteur, ISBN : 978-9931-9117-0-8},
	journal = {CPI{\textquoteright}2013 The 8th International Conference on Integrated Design and Production},
	year = {2013},
	author = {Bouznita Mohamed}
}
@proceedings {3422,
	title = {Automation and fuzzy control of a manufacturing system,  ISBN: 978-1-4244-9796-6. IEEE Xplore },
	journal = {(CoDIT 2013), International Conference on Control, Decision and Information Technologies},
	year = {2013},
	url = {ID10.1109/CoDIT.2013.6689594, ISBN: 978-1-4673-5547-6pp. 740 - 745},
	author = {Zermane Hanane}
}
@proceedings {3419,
	title = {Design of multi-agent system for quality control and machine maintenance, ISBN: 978-1-4244-9796-6. IEEE Xplore },
	journal = {(CoDIT 2013), International Conference on Control, Decision and Information Technologies},
	year = {2013},
	url = {ID10.1109/CoDIT.2013.6689594, ISBN: 978-1-4673-5547-6  pp. 794 {\textendash} 797},
	author = {Rezki Nafissa}
}
@proceedings {3418,
	title = {Development of an Industrial Application with Neuro-Fuzzy Systems, ISBN: 978-1-4244-9796-6. IEEE Xplore },
	journal = { (CoDIT 2013), International Conference on Control, Decision and Information Technologies},
	year = {2013},
	url = {ID10.1109/CoDIT.2013.6689594, ISBN: 978-1-4673-5547-6.pp 495 - 500},
	author = {Benaicha Sonia}
}
@proceedings {3417,
	title = {Recognition of objetcts in an image for triage, ISBN: 978-1-4244-9796-6. IEEE Xplore },
	journal = {(CoDIT 2013), International Conference on Control, Decision and Information Technologies},
	year = {2013},
	url = {ID10.1109/CoDIT.2013.6689594, ISBN: 978-1-4673-5547-6. pp. 359 {\textendash} 365},
	author = {Bellal Salah Eddine}
}
@proceedings {3410,
	title = {Fuzzy Alpha-cuts to capture customer requirements in improving product development.},
	journal = { (ISPS{\textquoteright}13 IEEE)  Thee‎ 11th International Symposium on Programming and Systems},
	year = {2013},
	url = {ID10.1109/ISPS.2013.6581493, ISBN:978-1-4799-1152-3. pp1-6},
	author = {Bencherif Fateh}
}
@proceedings {3409,
	title = { Fuzzy relative importance \&lrm;of \&lrm;customer \&lrm;requirements in Improving Product Development},
	journal = {(ICMSAO IEEE) ‎International ‎Conference on ‎Modelling, Simulation and Applied Optimization},
	year = {2013},
	url = {DOI 10.1109/ICMSAO.2013.6552663, ISBN: 978-1-4673-5812-5 },
	author = {Bencherif Fateh}
}
@book {3395,
	title = {Am{\'e}lioration du processus de d{\'e}veloppement de produit \&ndash; Cas d\&rsquo;une entreprise Alg{\'e}rienne, ISSN / ISBN 978-613-1547 27-0 / 6131547270},
	year = {2013},
	pages = {168 pages},
	publisher = {Editions universitaires Europ{\'e}ennes {\textendash} Germany },
	organization = {Editions universitaires Europ{\'e}ennes {\textendash} Germany },
	abstract = {Nous nous situons dans un environnement fortement concurrent et dynamique li{\'e} {\`a} la mondialisation des {\'e}conomies, cette dynamique pousse l{\textquoteright}entreprise {\`a} innover et {\`a} explorer son future et proposer {\`a} ses clients la meilleure offre. Les entreprises {\`a} travers une transformation r{\'e}flexive, transforment des entr{\'e}es en produits et doit prendre des d{\'e}cisions au sujet de la fa{\c c}on de r{\'e}agir aux besoins du march{\'e} et du client et des ressources {\`a} allouer. Ces transformations doivent {\^e}tre qualitatives et performantes et le processus de d{\'e}veloppement, le meneur de cette transformation, soit le noyau de toutes les transformations. Ainsi le processus est incorpor{\'e} dans tout organisme {\'e}conomique comme facteur de r{\'e}ussite et de mesure de l{\textquoteright}internationalisation de l{\textquoteright}entreprise. Les approche de d{\'e}veloppement existantes ne supportent pas de mani{\`e}re optimale les exigences de d{\'e}veloppement total et l{\textquoteright}offre de la concurrence caract{\'e}ris{\'e}e par le court d{\'e}lai et le minimum budget et par la qualit{\'e} de leur offre. Ce travail propose une am{\'e}lioration par laquelle les entreprises peuvent att{\'e}nuer les risques de d{\'e}veloppement et s{\textquoteright}assurer que le produit final tend {\`a} {\^e}tre exactement ce que le client veut.},
	url = {https://my.editions-ue.com/catalog/details/store/gb/book/978-613-1-54727-0/am\%C3\%A9lioration-du-processus-de-d\%C3\%A9veloppement-de-produit},
	author = {Bencherif Fateh and Mouss Leila Hayet}
}
@book {3394,
	title = {Algorithms for the integration of Arabic Language in Mobile Phones, ISBN-13: 978-3-659-38488-2 / ISBN-10: 3659384887},
	year = {2013},
	publisher = {Book, LAP Lambert Academic Publishing},
	organization = {Book, LAP Lambert Academic Publishing},
	abstract = {This work presents a subject which deals with man machine interfaces. Its objective is to study the data-processing impact of the integration of the Arabic language in mobile phones, in order to make an Arabic man machine interface. The correct display of Arabic characters is essential in a graphic interface, and because Arabic characters change their forms according to the position occupied in a word, it is necessary to make a contextual analysis on each word, to find the correct form of each character. The transformation of two or several characters in only one form, also requires making a particular treatment, as in case of the Arabic ligature LAM-ALEF. The Arabic language has a different direction of writing compared to other languages embedded in mobile phones, which requires finding a bi-directional algorithm that ensures a correct display of SMS messages. These messages can contain characters of different direction, right-to-left, left-to-right or characters without direction. It allows making comprehensible the display of messages.},
	url = {https://www.lap-publishing.com/catalog/details/store/gb/book/978-3-659-38488-2/algorithms-for-the-integration-of-arabic-language-in-mobile-phones},
	author = {Abdelhadi Adel and Mouss Leila Hayet}
}
@article {3393,
	title = {Adaptive type-2 fuzzy sliding mode controller for SISO nonlinear systems subject to actuator faults},
	journal = {Springer Berlin Heidelberg, International Journal of Automation and Computing},
	volume = {Vol. 10},
	number = { issue 4},
	year = {2013},
	pages = {pp335-342},
	abstract = {In this paper, an adaptive type-2 fuzzy sliding mode control to tolerate actuator faults of unknown nonlinear systems with external disturbances is presented. Based on a redundant actuation structure, a novel type-2 adaptive fuzzy fault tolerant control scheme is proposed using sliding mode control. Two adaptive type-2 fuzzy logic systems are used to approximate the unknown functions, whose adaptation laws are deduced from the stability analysis. The proposed approach allows to ensure good tracking performance despite the presence of actuator failures and external disturbances, as illustrated through a simulation example},
	url = {https://link.springer.com/article/10.1007/s11633-013-0729-6},
	author = {Meriem Benbrahim and Najib Essounbouli and Abdelaziz Hamzaoui and Ammar Betta}
}
@article {3363,
	title = {Continuous Improvement of Production system in Algerian industry ISSN/ISBN 1694-08141694-0784},
	journal = {IJCSI International Journal of Computer Science Issues},
	volume = { Vol. 10},
	number = {Issue 4},
	year = {2013},
	pages = {pp.337-344},
	abstract = {This paper presents the methodology for process improvement of Algerian Company, which implements a new process by the following of business process reengineering approach. For this, we conducted a comprehensive study of the company activity through a study of the current manufacturing process followed by an evaluation of various performance indicators, this has allowed us to propose a new model production process and identify weaknesses of the activities and services that interact with the company machining process Keywords: Improvement continouus, Kaizen, performance, R{\'e}ingeneering, Six sigma},
	url = {https://search.proquest.com/openview/d77b4751e82ef487aa423e256131c235/1?pq-origsite=gscholar\&cbl=55228},
	author = {Aoueg Hicham and Mechenene Athmane}
}
@article {3353,
	title = {Implementation and adaptability of a continuous improvement tool in Algerian industry, ISSN/ISBN 2162-6359},
	journal = { International Journal of Economics  and  Management Sciences    },
	volume = {Vol. 3},
	number = {No. 11},
	year = {2013},
	pages = {pp. 41-49},
	author = {Aoueg Hicham and Mechenene Athmane}
}
@article {3344,
	title = {Process Optimization by DMAIC Approach in Algerian Industry, Nov 2013},
	journal = { IJMIT International Journal of Management, Information and Technology},
	volume = {Vol. 7},
	number = {No. 2},
	year = {2013},
	pages = { pp 1074-1083},
	abstract = {The aim of this paper is to contribute to the improvement of the performance of the functioning of the SCIMAT company. For that purpose, we made a diagnosis of all workshops to identify the possible axes of improvement and to choose the solutions to be implemented.This diagnosis is made by implementation of DMAIC methodologyof Six sigma approach at SCIMAT company in Algeria, DMAIC is the five-step approach that makes up the Six Sigma tool kit, and its sole objective is to drive costly variation from manufacturing and business processes. The five steps in DMAIC are Define,Measure,Analyze,Improve, andControl.As the backbone of theSix Sigmamethodology, DMAIC delivers sustained defect-free performance and highly competitive quality costs over the long run.},
	url = {https://pdfs.semanticscholar.org/d809/d2943a574f8b29194356adccc25b972f15e7.pdf},
	author = {Aoueg Hicham and Mechennene Athmane}
}
@article {3111,
	title = {Reconnaissance des Formes par SVM pour le Diagnostic du  Syst{\`e}me de Pasteurisation d\&rsquo;une Usine de Lait, janvier, ISSN 1112-9697},
	journal = {RST, Revue des Sciences et Technologie},
	volume = {Volume 4 },
	number = {N{\textdegree}1},
	year = {2013},
	abstract = {Dans cet article, nous pr{\'e}sentons un nouvel algorithme pour la classification de diff{\'e}rents {\'e}tats de fonctionnement et de dysfonctionnement d{\textquoteright}un syst{\`e}me industriel. Notre algorithme offre une bonne qualit{\'e} de classification de donn{\'e}es. Cet algorithme est bas{\'e} sur Les S{\'e}parateurs {\`a} Vastes Marges (SVM). Il permet de classer des donn{\'e}es non lin{\'e}airement s{\'e}parables. L{\textquoteright}algorithme offre aussi la possibilit{\'e} d{\textquoteright}utiliser des bases de donn{\'e}es de grandes tailles. Les exp{\'e}riences effectu{\'e}es sur les bases de donn{\'e}es issues d{\textquoteright}un syst{\`e}me de pasteurisation montrent que notre algorithme fournit de tr{\`e}s bons r{\'e}sultats.},
	url = {https://www.researchgate.net/publication/278329125_Reconnaissance_des_Formes_par_SVM_pour_le_Diagnostic_du_Systeme_de_Pasteurisation_d{\textquoteright}une_Usine_de_Lait},
	author = {Kadri Ouahab and Mouss Leila Hayet and Mouss Med Djamel}
}
@article {3083,
	title = {Reconnaissance des Formes par SVM pour le Diagnostic du Syst{\`e}me de Pasteurisation d\&rsquo;une Usine de Lait, janvier, ISSN 1112-9697},
	journal = {RST, Revue des Sciences et Technologie},
	volume = {Volume 4},
	number = { N{\textdegree}1},
	year = {2013},
	abstract = {Dans cet article, nous pr{\'e}sentons un nouvel algorithme pour la classification de diff{\'e}rents {\'e}tats de fonctionnement et de dysfonctionnement d{\textquoteright}un syst{\`e}me industriel. Notre algorithme offre une bonne qualit{\'e} de classification de donn{\'e}es. Cet algorithme est bas{\'e} sur Les S{\'e}parateurs {\`a} Vastes Marges (SVM). Il permet de classer des donn{\'e}es non lin{\'e}airement s{\'e}parables. L{\textquoteright}algorithme offre aussi la possibilit{\'e} d{\textquoteright}utiliser des bases de donn{\'e}es de grandes tailles. Les exp{\'e}riences effectu{\'e}es sur les bases de donn{\'e}es issues d{\textquoteright}un syst{\`e}me de pasteurisation montrent que notre algorithme fournit de tr{\`e}s bons r{\'e}sultats.},
	url = {https://www.researchgate.net/publication/278329125_Reconnaissance_des_Formes_par_SVM_pour_le_Diagnostic_du_Systeme_de_Pasteurisation_d\%27une_Usine_de_Lait},
	author = {Kadri Ouahab and Mouss Leila Hayet and Mouss Med Djamel}
}
@article {3078,
	title = {Adaptive Type-2 Fuzzy Sliding Mode Controller for SISO Nonlinear Systems Subject to Actuator Faults, ISSN/ISBN 1476-8186/1751-8520},
	journal = {IJAC International Journal of Automation and Computing},
	volume = {Vol. 10},
	number = { Issue 4},
	year = {2013},
	pages = {pp.335-342},
	abstract = {In this paper, an adaptive type-2 fuzzy sliding mode control to tolerate actuator faults of unknown nonlinear systems with external disturbances is presented. Based on a redundant actuation structure, a novel type-2 adaptive fuzzy fault tolerant control scheme is proposed using sliding mode control. Two adaptive type-2 fuzzy logic systems are used to approximate the unknown functions, whose adaptation laws are deduced from the stability analysis. The proposed approach allows to ensure good tracking performance despite the presence of actuator failures and external disturbances, as illustrated through a simulation example.},
	url = {https://link.springer.com/article/10.1007/s11633-013-0729-6},
	author = {Benbrahim Meriem and Enounbouli Nadji}
}
@article {3013,
	title = {A Web service Based Multi Agent System for the Diagnosis of industrial plants, May, ISSN/ISBN 1970 \&ndash; 8734/1970-8742},
	journal = {IREME International Review of Mechanical Engineering.},
	volume = {Vol 5},
	number = {N{\textdegree} 6},
	year = {2013},
	pages = {pp: 1156-1159},
	abstract = {Fault diagnosis and maintenance are considered as vital aspects in industrial process, therefore, fault diagnosis systems should support decision-making tools, new diagnosis approaches and technique. In this paper, we discuss the cooperation of agents and Web Services in order to create highly flexible and dynamic framework for manufacturing systems fault diagnosis based on three-tier architectures that can support a distributed application. We depict also how Web Services can be located and the provided services can be invoked.},
	url = {https://www.researchgate.net/publication/291105216_A_Web_Services_Based_Multi_Agent_System_for_the_Diagnosis_of_Industrial_Plants},
	author = {Chouhal Ouahiba and Mouss Leila Hayet and Mahdaoui Rafik}
}
@article {3009,
	title = {Reconnaissance des Formes par SVM pour le Diagnostic du Syst{\`e}me de Pasteurisation d\&rsquo;une Usine de Lait, janvier, ISSN/ISBN 1112-9697},
	journal = {RST, Revue des Sciences et Technologie},
	volume = {Volume 4},
	number = {N{\textdegree}1},
	year = {2013},
	pages = {p: 283},
	abstract = {Dans cet article, nous pr{\'e}sentons un nouvel algorithme pour la classification de diff{\'e}rents {\'e}tats de fonctionnement et de dysfonctionnement d{\textquoteright}un syst{\`e}me industriel. Notre algorithme offre une bonne qualit{\'e} de classification de donn{\'e}es. Cet algorithme est bas{\'e} sur Les S{\'e}parateurs {\`a} Vastes Marges (SVM). Il permet de classer des donn{\'e}es non lin{\'e}airement s{\'e}parables. L{\textquoteright}algorithme offre aussi la possibilit{\'e} d{\textquoteright}utiliser des bases de donn{\'e}es de grandes tailles. Les exp{\'e}riences effectu{\'e}es sur les bases de donn{\'e}es issues d{\textquoteright}un syst{\`e}me de pasteurisation montrent que notre algorithme fournit de tr{\`e}s bons r{\'e}sultats.},
	url = {https://www.researchgate.net/publication/278329125_Reconnaissance_des_Formes_par_SVM_pour_le_Diagnostic_du_Systeme_de_Pasteurisation_d{\textquoteright}une_Usine_de_Lait},
	author = {Kadri Ouahab and Mouss Leila Hayet and Mouss Med Djamel}
}
@article {3008,
	title = {Recognition of objects in an image for triage, December, ISSN/ISBN 2250-1355/ 2249-9555},
	journal = {IJCSITS International Journal of Computer Science, Information Technology, \& Security},
	volume = {Vol 2},
	number = {Issue 6},
	year = {2013},
	pages = {pp 1170-1176},
	abstract = {In this paper, our aim is to present existing methods and techniques related to the artificial vision which is an active subject of research. In this work, we elaborate a recognition system of objects in an image for a sorting application. The corner stone of our work is based on the recognition and sorting of objects (geometrical shapes) in an image in artificial vision. The application of these images is achieved using a fixed camera having a regular and permanent field of vision with a consequent angle on a conveyer which holds the objects to be observed. The Objects{\textquoteright} recognition process requires knowledge of our camera characteristics. In order to calibrate this camera, we propose to use a simple Web camera configured to get a photo of the conveyer{\textquoteright}s centre. The objective is to seek for objects in the images, which are considered as unitary and not sequences of images. In this case, the development of automatic methods is required to ensure the sorting rapidity but with additional complex processing to make it efficient. The analysis determines simultaneously both the recensement and arithmetic counting, then the detection of faults based mainly on the comparison of the object shape with the shape defined previously and using this operation the sorting is made. A complementary system equipped with sensors and programmable automata is used to eject each object into corresponding panel.},
	url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\&arnumber=6689571},
	author = {Bellal Salah Eddine and Mouss Leila Hayet}
}
@article {1732,
	title = {An efficient hybrid approach based on multi agent system and emergence method for the integration of systematic preventive maintenance policies in hybrid flow-shop scheduling to minimize makespan, September 2013, ISSN/ISBN: 2141-2383.},
	journal = {Journal of Mechanical Engineering Research},
	volume = {05},
	number = {06},
	year = {2013},
	pages = {112-122 },
	abstract = {This paper proposes a novel hybrid algorithm for the integration of systematic preventive maintenance policies in hybrid flow shop scheduling to minimize makespan. We have implemented a problem-solving approach for optimizing the processing time and methods based on metaheuristics. The proposed approach is inspired by the behavior of the human body. This hybridization is between a multi agent system and inspirations of the human body, especially genetics. The effectiveness of our approach has been demonstrated repeatedly in this paper. The proposed approach is applied to three preventive maintenance policies. These policies are intended to maximize the availability or to maintain a minimum level of reliability during the production chain. The results show that our algorithm outperforms existing algorithms. We assumed that the machines might be unavailable periodically during the production scheduling.},
	url = {https://doi.org/10.5897/JMER2013.0275},
	author = {Abdelhadi Adel and Mouss Leila Hayet}
}
@mastersthesis {6180,
	title = {La M{\'e}thode monte carlo pour l\&rsquo;Analyse d\&rsquo;un syst{\`e}me de production :Aspect dysfonctionnelle},
	year = {2012},
	author = {Bouhidel lynda}
}
@mastersthesis {6179,
	title = {Les automates stochastiques pour l\&rsquo;{\'e}valuation des performances des syst{\`e}mes de production},
	year = {2012},
	author = {Benfarhi Amor}
}
@mastersthesis {6178,
	title = {Optimisation des flux dans un syst{\`e}me de production},
	year = {2012},
	author = {Smaili Yamina}
}
@mastersthesis {6177,
	title = {Etude du potentiel d\&$\#$39;energie thermique utilis{\'e} pour la production de l\&$\#$39;eau chaude dans l\&$\#$39;industrie agro alimentaire},
	year = {2012},
	author = {Bouakaz Amina}
}
@mastersthesis {6153,
	title = {Mise en ouvre de la m{\'e}thode MRP par GAMS CPLEX},
	year = {2012},
	author = {Anane Nadia}
}
@mastersthesis {6152,
	title = {Les crit{\`e}res de d{\'e}cision en un univers mesurable (Laplace,  maximax, wild)},
	year = {2012},
	author = {Hadadi Manal}
}
@mastersthesis {6151,
	title = {Risque li{\'e} au processus de conception d\&rsquo;un nouveau produit},
	year = {2012},
	author = {Belkhiri Rima}
}
@mastersthesis {6150,
	title = {Optimisation,  am{\'e}lioration et maitrise d\&rsquo;un syst{\`e}me industriel par approche performance},
	year = {2012},
	author = {Ghorab Nora}
}
@mastersthesis {6149,
	title = {D{\'e}cision sous incertitude utilisation des arbres de d{\'e}cisions},
	year = {2012},
	author = {Charmat Lamia}
}
@mastersthesis {6148,
	title = {Utilisation de la technique dynamique des options r{\'e}elles {\`a} la d{\'e}cision d\&$\#$39;investissement strat{\'e}gique},
	year = {2012},
	author = {Bachouche Soumia}
}
@mastersthesis {6147,
	title = {Am{\'e}lioration continue d\&$\#$39;une entreprise industrielle par l\&$\#$39;optimisation des processus lean six sigma},
	year = {2012},
	author = {Boukricha Imen}
}
@mastersthesis {6146,
	title = {Cadencement et analyse d\&$\#$39;une politique de gestion des op{\'e}rations},
	year = {2012},
	author = {Bekari Salim}
}
@mastersthesis {6054,
	title = {Etude des Instabilit{\'e}s dans une tige de forage p{\'e}trolier},
	year = {2012},
	author = {Soussa Abdelkrim}
}
@mastersthesis {6053,
	title = {Supervision de la Production dans un atelier flexible},
	year = {2012},
	author = {Berkani Khalil}
}
@mastersthesis {6052,
	title = {Informatisation de la Maintenance dans une entreprise textile},
	year = {2012},
	author = {AMEUR Zouina}
}
@mastersthesis {6051,
	title = {Optimisation de l\&rsquo;Ordonnancement des activit{\'e}s de Maintenance bas{\'e}e sur la fiabilit{\'e} d\&rsquo;un Syst{\`e}me de Production},
	year = {2012},
	author = {Rezzoug Lilia}
}
@mastersthesis {6050,
	title = {La ma{\^\i}trise de la qualit{\'e} par l\&rsquo;am{\'e}lioration continue des activit{\'e}s m{\'e}dicales dans le centre hospitalier},
	year = {2012},
	author = {Boulila Rima}
}
@mastersthesis {6049,
	title = {Ordonnancement de la maintenance et risques associ{\'e}s},
	year = {2012},
	author = {Sakhri-Laranene Kamel}
}
@mastersthesis {6021,
	title = {Simulation des performances d\&$\#$39;un syst{\`e}me thermique solaire {\`a} capteurs plans destin{\'e} pour les besoins {\'e}nerg{\'e}tiques d\&$\#$39;une laiterie; et calcul des co{\^u}ts },
	year = {2012},
	author = {Bedda Sabir}
}
@mastersthesis {6020,
	title = {Surveillance d\&rsquo;un proc{\'e}d{\'e} industriel},
	year = {2012},
	author = {Dagra Koraou}
}
@mastersthesis {6019,
	title = {R{\'e}alisation d\&rsquo;un syst{\`e}me de gestion de nomenclature},
	year = {2012},
	author = {Siabdellah Naouel}
}
@mastersthesis {6018,
	title = {Etude de l\&rsquo;interaction rotor palier},
	year = {2012},
	author = {Louai Salem}
}
@mastersthesis {6017,
	title = {Etat actuel de l\&$\#$39;ordonnancement de la production dans des syst{\`e}mes de type Job Shop},
	year = {2012},
	author = {Merzougui Lamia}
}
@mastersthesis {6016,
	title = {Recherche bibliographique  sur la maintenance dans des syst{\`e}mes de type Job Shop},
	year = {2012},
	author = {Menzer Salim}
}
@mastersthesis {6015,
	title = {La TPM un moyen d\&rsquo;am{\'e}lioration du rendement machine},
	year = {2012},
	author = {Boudlelal Imen}
}
@mastersthesis {6014,
	title = {Etude de l\&rsquo;ordonnancement via les r{\`e}gles de base},
	year = {2012},
	author = {Aberkane Naima}
}
@mastersthesis {6013,
	title = {Optimisation de l\&$\#$39;ordonnancement des taches de maintenance},
	year = {2012},
	author = {Kherbouche Djamel}
}
@mastersthesis {6012,
	title = {Analyse fonctionnelle d\&$\#$39;un syst{\`e}me hospitalier},
	year = {2012},
	author = {Benzaroual Yamina}
}
@mastersthesis {6011,
	title = {Surveillance d\&$\#$39;une ligne de production},
	year = {2012},
	author = {Djelloul Imene}
}
@mastersthesis {5948,
	title = {Supervision des systemes evolutifs par la reconnaissance des formes floues},
	year = {2012},
	author = {Bouchenaf Mourrad}
}
@mastersthesis {5946,
	title = {Optimisation d\&$\#$39;un processus de sondage effectu{\'e} par un robot bras manipulateur},
	year = {2012},
	author = {Medjhou Aicha}
}
@mastersthesis {5944,
	title = {Optimisation des Mesures de la s{\^u}ret{\'e} de Fonctionnement  au niveau de l\&rsquo;ON Batna},
	year = {2012},
	author = {Kabas Salah}
}
@mastersthesis {5941,
	title = {Conception d\&rsquo;un outil d\&rsquo;aide pour la d{\'e}tection et le diagnostic des d{\'e}faillances},
	year = {2012},
	author = {Belfarhi Nedjoua}
}
@mastersthesis {5817,
	title = {Les Syst{\`e}mes Immunitaires Artificiels  pour le diagnostic des syst{\`e}mes complexes},
	year = {2012},
	author = {Haboussi  Amar}
}
@mastersthesis {5816,
	title = {Reconnaissance d\&rsquo;objets dans une image: Application au tri contr{\^o}le de qualit{\'e}},
	year = {2012},
	author = {Bellal Salah-Eddine}
}
@mastersthesis {5815,
	title = {Contribution {\`a} la r{\'e}solution de conflits dans un environnement Multi-Robots},
	year = {2012},
	author = {Allaoua Derradji}
}
@mastersthesis {5814,
	title = {Conception et impl{\'e}mentation d\&rsquo;un syst{\`e}me expert  hybride pour le diagnostic d\&rsquo;un syst{\`e}me Industriel},
	year = {2012},
	author = {Bouznita Mohamed}
}
@mastersthesis {5813,
	title = {Le pronostic industriel par les syst{\`e}mes Neuro-flous : Application {\`a} un syst{\`e}me de production},
	year = {2012},
	author = {Benaicha Sonia}
}
@mastersthesis {5812,
	title = {Diagnostic des defaillances des machines eleclectriques},
	year = {2012},
	author = {Bichari Meriem}
}
@mastersthesis {5807,
	title = {Mod{\'e}lisation d\&$\#$39;un syst{\`e}me de production},
	year = {2012},
	author = {Mediaza Imen}
}
@mastersthesis {5806,
	title = {Contr{\^o}le flou et marche automatique d\&rsquo;un broyeur cru utilisant la plate forme Process Control System},
	year = {2012},
	author = {Bahloul Amine}
}
@mastersthesis {5805,
	title = {Approche distribu{\'e}e pour la mod{\'e}lisation et le diagnostic  des syst{\`e}mes de production},
	year = {2012},
	author = {Benaggoun Khaled}
}
@mastersthesis {5804,
	title = {Etude du Syst{\`e}me de Tra{\c c}abilit{\'e} dans l\&$\#$39;Industrie Agroalimentaire : le cas de Giplait},
	year = {2012},
	author = {Benfifi Hocine}
}
@mastersthesis {5803,
	title = {Conception d\&rsquo;un Syst{\`e}me de Management d\&rsquo;Information (MIS) d\&rsquo;un syst{\`e}me de production},
	year = {2012},
	author = {Guidjira Mamadou Mody}
}
@mastersthesis {5802,
	title = {Mod{\'e}lisation d\&$\#$39;un syst{\`e}me de production par service WEB},
	year = {2012},
	author = {Tafrount Aziza}
}
@conference {4673,
	title = {Development of a Fuzzy Expert system based on PCS7 and FuzzyControl++ Cement Mill control,  ISBN: 978-0-9853483-0-4},
	booktitle = {The International Conference on Informatics \& Applications ICIA University Sultan Zainal Abidin, Kuala Terengganu, Malaysia},
	year = {2012},
	pages = {pp 71-76},
	author = {Zermane Hanane and Mouss Leila Hayet and Benaicha Sonia}
}
@conference {4672,
	title = {NFPROG, un outil d\&rsquo;aide au pronostic industriel bas{\'e} sur les syst{\`e}mes Neuro-Flous d\&rsquo;un syst{\`e}me de production,  ISBN: 978-9938-9511-2-7},
	booktitle = {The International Conference on Information Systems \& Technologies ICIST, Sousse, Tunisia},
	year = {2012},
	pages = {pp. 724-729},
	author = {Benaicha Sonia and Mouss Leila Hayet and Zermane Hanane}
}
@conference {4671,
	title = {D{\'e}veloppement d\&rsquo;un Syst{\`e}me Expert flou bas{\'e} sur PCS 7 et FuzzyControl++ (Conduite d\&rsquo;un Broyeur Ciment)},
	booktitle = {International Conference on Information Systems and Technologies ICIST},
	year = {2012},
	author = {Zermane Hanane and Mouss Leila Hayet and Benaicha Sonia}
}
@conference {4670,
	title = {Integrated Maintenance Problem in Two-Stage Supply Chain Coordination With an Outsourcing Option},
	booktitle = {In Proceedings of the 42st International Conference on computers \& Industrial Engineering (Cie42), Cie \& Saiie, Cape Town, South Africa},
	year = {2012},
	pages = {pp. 937 {\textendash} 951},
	author = {Haoues Mohamed and M.Dahane and Mouss kinza Nadia and N.Rezg}
}
@conference {4669,
	title = {Optimization of Cooperative Outsourcing Between Single-Outsourcer Multiple-Subcontractors: a Genetic Algorithm Based Approach},
	booktitle = {INCOM{\textquoteright}12. 14th IFAC Symposium on Information Control Problems in Manufacturing, Bucharest Romania},
	year = {2012},
	pages = {pp-975 {\textendash} 980},
	url = {http://www.incom12.ro/},
	author = {M. Haoues and M.Dahane and Mouss kinza Nadia and N.Rezg}
}
@proceedings {4668,
	title = {Genetic Algorithm Based Approaches for the Modified Weibull Renewal Approximation},
	journal = {INCOM{\textquoteright}2012 14th IFAC Symposium on Information Control Problems in Manufacturing, Bucharest, Romania},
	year = {2012},
	pages = {pp-975 {\textendash} 980},
	url = {http://www.incom12.ro/},
	author = {Bentrcia Toufik and Mouss Leila Hayet and Mouss Kinza and Yalaoui Farouk and Bensmaine Abderrahmane}
}
@conference {4597,
	title = {Fault prognosis by temporal neuro-fuzzy systems: Application for manufacturing systems, in Proceedings of IEEE, print ISBN:978-1-4673-1657-6, 2013},
	booktitle = {Sciences of Electronics, Technologies of Information and Telecommunications (SETIT 2012, Sousse, Tunisia},
	year = {2012},
	pages = {pp. 50-55},
	author = {Mahdaoui Rafik and Mouss Leila Hayet and Kadri Ouahab and Mouss Med Djamel and Chouhal Ouahiba}
}
@conference {4594,
	title = {The Use of Artificial Immune System Algorithms in Monitoring Industrial, in Proceedings of IEEE Sciences of Electronics, print ISBN:978-1-4673-1657-6},
	booktitle = {Technologies of Information and Telecommunications (SETIT 2012), Sousse, Tunisia},
	year = {2012},
	pages = {pp. 50-55},
	author = {Abdelhadi Adel and Mouss Leila Hayet and Kadri Ouahab}
}
@proceedings {3582,
	title = {Contribution to ameliorate the CICM model against the requirements of GERAM  Dubai, UAE January 29-31},
	journal = {ICKM 2012, International Conference on Knowledge Management},
	year = {2012},
	author = {Aitoche Samia}
}
@proceedings {3581,
	title = {{\'E}tude comparative bas{\'e}e sur les m{\'e}tamod{\`e}les, des m{\'e}thodes de contr{\^o}le de la performance Dubai, UAE January 29-31},
	journal = {ICKM 2012, International Conference on Knowledge Management},
	year = {2012},
	author = {Aitoche Samia}
}
@proceedings {3580,
	title = {Analyse et Optimisation d\&rsquo;un Mod{\`e}le de S{\'e}quencement d\&rsquo;Op{\'e}rations : Application {\`a} une Entreprise d\&rsquo;Appareillage Electrique. 06 to 07 May. Batna\&ndash;Algeria},
	journal = {ICIEM{\textquoteright}12, International Conference on Industrial Engineering and Manufacturing},
	year = {2012},
	url = {http://www.univ-batna,.dz/iciem2012/index.html},
	author = {Fritas Rafik}
}
@proceedings {3573,
	title = {Int{\'e}gration des FloBoss dans le syst{\`e}me DCS du champ p{\'e}trolier de Gassi El Agreb 06 to 07 May. Batna\&ndash;Algeria},
	journal = {ICIEM{\textquoteright}12, International Conference on Industrial Engineering and Manufacturing},
	year = {2012},
	url = {http://www.univ-guelma.dz/icsip13/index.html},
	author = {Aoueg Hicham}
}
@proceedings {3569,
	title = {{\'E}valuation des performances d\&rsquo;un syst{\`e}me de production par la simulation Monte Carlo 06 to 07 May . Batna\&ndash;Algeria,},
	journal = { ICIEM{\textquoteright}12, International Conference on Industrial Engineering and Manufacturing},
	year = {2012},
	pages = {pp. 169-174},
	url = {http://www.univ-batna,.dz/iciem2012/index.html},
	author = {Bouhidel lynda}
}
@proceedings {3568,
	title = {Contribution {\`a} l\&rsquo;Optimisation par M{\'e}ta heuristique d\&rsquo;un Probl{\`e}me de Transport cas : CVRP.06 to 07 May. Batna\&ndash;Algeria },
	journal = {ICIEM{\textquoteright}12, International Conference on Industrial Engineering and Manufacturing},
	year = {2012},
	pages = {pp. 161-168},
	url = {http://www.univ-batna,.dz/iciem2012/index.html},
	author = {Laggoun Assia}
}
@proceedings {3565,
	title = {M{\'e}taheuristique pour l\&rsquo;Optimisation d\&rsquo;un Probl{\`e}me de Transport},
	journal = {TEC-ITS 2012 Congr{\`e}s international L{\textquoteright}intelligence dans les d{\'e}placements de la recherche aux pratiques},
	year = {2012},
	author = {Smaili Yamina}
}
@proceedings {3557,
	title = {Analyse et Optimisation d\&rsquo;un Mod{\`e}le de S{\'e}quencement d\&rsquo;Op{\'e}rations : Application {\`a} une Entreprise d\&rsquo;Appareillage Electrique 06 to 07 May. Batna\&ndash;Algeria,},
	journal = {ICIEM{\textquoteright}12, International Conference on Industrial Engineering and Manufacturing},
	year = {2012},
	pages = { pp. 148-154~},
	url = {http://www.univ-batna,.dz/iciem2012/index.html},
	author = {Haoues Mohamed}
}
@proceedings {3556,
	title = {Une Approche Modulaire Bas{\'e}e sur les R{\'e}seaux d\&rsquo;Automates Stochastiques pour l\&rsquo;Evaluation des Performances des Syst{\`e}mes de Production Manufacturiers 06 to 07 May, Batna\&ndash;Algeria,},
	journal = { ICIEM{\textquoteright}12, International Conference on Industrial Engineering and Manufacturing},
	year = {2012},
	pages = {pp. 20-25~},
	url = {http://www.univ-batna,.dz/iciem2012/index.html},
	author = {Fritas Rafik}
}
@proceedings {3539,
	title = {Genetic Algorithm Based Approaches for the Modified Weibull Renewal Approximation},
	journal = {(INCOM{\textquoteright}12),  14th IFAC Symposium on Information Control Problems in Manufacturing},
	year = {2012},
	author = {Mouss Leila-Hayet}
}
@proceedings {3535,
	title = {Integrated Maintenance Problem in Two-Stage Supply Chain Coordination With an Outsourcing Option},
	journal = {Cie42  42st International Conference on computers \& Industrial Engineering Cape Town, SOUTH AFRICA},
	year = {2012},
	author = {Haoues Mohamed}
}
@proceedings {3527,
	title = {Aide {\`a} la d{\'e}cision d\&rsquo;ordonnancement inter-Entreprise des travaux de la maintenance distribu{\'e}e},
	journal = { ICIEM{\textquoteright}12, International Conference on Industrial Engineering and Manufacturing},
	year = {2012},
	url = {http://www.univ-batna,.dz/iciem2012/index.html},
	author = {Maache Younes}
}
@proceedings {3524,
	title = {Installation of distributed maintenance case: Cement factories of east (SMCE), ISBN: 978-1-4673-6373-0 },
	journal = {MSE Manufacturing Systems Engineering},
	year = {2012},
	author = {Bellala Djamel}
}
@proceedings {3520,
	title = {Am{\'e}lioration de la gestion du risque par la MBR},
	journal = {VI{\`e}me Congr{\`e}s International sur les Energies Renouvelables et l{\textquoteright}Environnement},
	year = {2012},
	url = {http://www.cere-tunisia.com/cere2012/Env_30.pdf},
	author = {Smadi Hacene}
}
@proceedings {3517,
	title = {Contribution to ameliorate the CICM model against the requirements of GERAMDubai, UAE January 29-31},
	journal = {(ICKM),  2012, International Conference on Knowledge Management   },
	year = {2012},
	url = {http://www.waset.org/conferences/2012/dubai/ickm},
	author = {Aitoche Samia}
}
@proceedings {3516,
	title = {{\'E}tude comparative bas{\'e}e sur les m{\'e}tamod{\`e}les, des m{\'e}thodes de contr{\^o}le de la performance. Dubai, UAE January 29-31},
	journal = {(ICKM),  2012, International Conference on Knowledge Management},
	year = {2012},
	url = {http://www.waset.org/conferences/2012/dubai/ickm},
	author = {Aitoche Samia}
}
@proceedings {3512,
	title = {Installation of distributed maintenance case: Cement factories of east (SMCE), ISBN: 978-3-03785-277-4},
	journal = {MSE Manufacturing Systems Engineering},
	year = {2012},
	author = {Bellala Djamel}
}
@proceedings {3500,
	title = {Fault prognosis by temporal Neuro-Fuzzy systems: Application for manufacturing systems},
	journal = { (SETIT 2012) Sciences of Electronics, Technologies of Information and Telecommunications  },
	year = {2012},
	url = {http://www.setit.rnu.tn/},
	author = {Mahdaoui Rafik}
}
@proceedings {3485,
	title = {Automatisation d\&rsquo;un syst{\`e}me de contr{\^o}le flou avec PCS 7 et FuzzyControl++ (Application au sein de la cimenterie d\&rsquo;Ain Touta), Universit{\'e} de Khenchela, Alg{\'e}rie. 20-22 Novembre},
	journal = {ICEECA{\textquoteright}2012, International Conference on Electrical Engineering and Control Applications},
	year = {2012},
	author = {Zermane Hanane}
}
@proceedings {3482,
	title = {Comparative study, based on metamodels, of methods for controlling performance},
	journal = {ICIEM{\textquoteright}12, International Conference on Industrial Engineering and Manufacturing},
	year = {2012},
	url = {http://www.univ-batna,.dz/iciem2012/index.html},
	author = {Aitoche Samia}
}
@proceedings {3481,
	title = {Un processus pour la reconnaissance d\&rsquo;objets dans une image pour une application de tri},
	journal = {ICIEM{\textquoteright}12, International Conference on Industrial Engineering and Manufacturing},
	year = {2012},
	url = {http://www.univ-batna,.dz/iciem2012/index.html},
	author = {Bellal Salah Eddine}
}
@proceedings {3480,
	title = {Une m{\'e}thode pour l\&rsquo;optimisation du processus de d{\'e}veloppement de produit bas{\'e}e sur la matrice de structure de conception},
	journal = {ICIEM{\textquoteright}12, International Conference on Industrial Engineering and Manufacturing},
	year = {2012},
	url = {http://www.univ-batna,.dz/iciem2012/index.html},
	author = {Bencherif Fateh}
}
@proceedings {3479,
	title = {Conception d\&rsquo;un outil d\&rsquo;aide au diagnostic des d{\'e}faillances dans un syst{\`e}me de production},
	journal = {ICIEM{\textquoteright}12, International Conference on Industrial Engineering and Manufacturing},
	year = {2012},
	url = {http://www.univ-batna,.dz/iciem2012/index.html},
	author = {Belfarhi Nedjoua}
}
@proceedings {3466,
	title = {Reconnaissance des chiffres imprim{\'e}s par les r{\'e}seaux de neurones. 06 to 07 May, Batna\&ndash;Algeria},
	journal = { ICIEM{\textquoteright}12, International Conference on Industrial Engineering and Manufacturing},
	year = {2012},
	pages = {pp. 589-595},
	url = {http://www.univ-batna,.dz/iciem2012/index.html},
	author = {Derdour Khadidja}
}
@proceedings {3465,
	title = {D{\'e}veloppement d\&rsquo;un Syst{\`e}me {\`a} Base de connaissances Neuro-Flou pour le pronostic Industriel d\&rsquo;un Atelier de Clink{\'e}risation 06 to 07 May Batna\&ndash;Algeria},
	journal = {ICIEM{\textquoteright}12, International Conference on Industrial Engineering and Manufacturing},
	year = {2012},
	pages = {pp. 577-585},
	url = {http://www.univ-batna,.dz/iciem2012/index.html},
	author = {Benaicha Sonia}
}
@proceedings {3464,
	title = {Conception d\&rsquo;un Syst{\`e}me Expert Flou pour Diagnostic et Maintenance {\`a} l\&rsquo;aide de PCS 7 et FuzzyControl++.. 06 to 07 May Batna\&ndash;Algeria},
	journal = {ICIEM{\textquoteright}12, International Conference on Industrial Engineering and Manufacturing},
	year = {2012},
	pages = {pp. 250-257},
	url = {http://www.univ-batna,.dz/iciem2012/index.html},
	author = {Zermane Hanane}
}
@proceedings {3463,
	title = {A Neural Modelling Approach for the Diagnosis of Elementary Failure Modes in Industrial Plants 06 to 07 May,   Batna\&ndash;Algeria },
	journal = {ICIEM{\textquoteright}12, International Conference on Industrial Engineering and Manufacturing},
	year = {2012},
	pages = {pp. 169-174},
	url = {http://www.univ-batna,.dz/iciem2012/index.html},
	author = {Bentrcia Toufik}
}
@proceedings {3462,
	title = {Reconnaissance des Formes par SVM pour le Diagnostic du Syst{\`e}me de Pasteurisation d\&rsquo;une Usine de Lait.06 to 07 May, Batna\&ndash;Algeria,},
	journal = { ICIEM{\textquoteright}12, International Conference on Industrial Engineering and Manufacturing},
	year = {2012},
	pages = {pp. 161-168},
	url = {http://www.univ-batna,.dz/iciem2012/index.html},
	author = {Kadri Ouahab}
}
@proceedings {3455,
	title = {La classification des observations pour le diagnostic industriel d\&rsquo;un four rotatif.. 06 to 07 May, Batna\&ndash;Algeria,},
	journal = { ICIEM{\textquoteright}12, International Conference on Industrial Engineering and Manufacturing},
	year = {2012},
	pages = {pp. 148-154},
	url = {http://www.univ-batna,.dz/iciem2012/index.html},
	author = {Rezgui Wail}
}
@proceedings {3454,
	title = {Les syst{\`e}mes Multi agents argumentatifs pour la e- maintenance. 06 to 07 May,  Batna\&ndash;Algeria},
	journal = { ICIEM{\textquoteright}12, International Conference on Industrial Engineering and Manufacturing},
	year = {2012},
	pages = {pp. 11-15},
	url = {http://www.univ-batna,.dz/iciem2012/index.html},
	author = {Mahdaoui Rafik}
}
@proceedings {3452,
	title = {Development of a Fuzzy Expert system based on PCS7 and FuzzyControl++ Cement Mill control, ISBN: 978-0-9853483-0-4},
	journal = {(ICIA 2012),  The International Conference on Informatics \& Applications},
	year = {2012},
	pages = {pp 71-76},
	author = {Zermane Hanane}
}
@proceedings {3451,
	title = {NFPROG, un outil d\&rsquo;aide au Pronostic Industriel bas{\'e} sur les syst{\`e}mes Neuro-Flous d\&rsquo;un Syst{\`e}me de Production},
	journal = { (ICIST 2012),  International Conference on Information Systems and Technologies},
	year = {2012},
	author = {Benaicha Sonia}
}
@proceedings {3450,
	title = { D{\'e}veloppement d\&rsquo;un Syst{\`e}me Expert flou bas{\'e} sur PCS 7 et FuzzyControl++ (Conduite d\&rsquo;un Broyeur Ciment), ISBN 978-9938-9511-2-7},
	journal = { (ICIST 2012),  International Conference on Information Systems and Technologies},
	year = {2012},
	author = {Zermane Hanane}
}
@proceedings {3448,
	title = {PCS 7 et FuzzyControl++ pour la conduite d\&rsquo;un broyeur ciment},
	journal = { ICCRK{\textquoteright}2012, International Conference on Computer Related Knowledge},
	year = {2012},
	url = {http://www.iccrk.org/},
	author = {Zermane Hanane}
}
@proceedings {3421,
	title = {Fault prognosis by temporal Neuro-Fuzzy systems: Application for manufacturing systems},
	journal = {(SETIT 2012) Sciences of Electronics, Technologies of Information and Telecommunications},
	year = {2012},
	url = {	 http://www.setit.rnu.tn/},
	author = {Mahdaoui Rafik}
}
@proceedings {3420,
	title = {The use of artificial immune system algorithms in monitoring industrial,},
	journal = {(SETIT 2012) Sciences of Electronics, Technologies of Information and Telecommunications},
	year = {2012},
	url = {http://www.setit.rnu.tn/},
	author = {Abdelhadi Adel}
}
@proceedings {3407,
	title = {Genetic Algorithm Based Approaches for the Modified Weibull Renewal Approximation},
	journal = {(INCOM{\textquoteright}12),  14th IFAC Symposium on Information Control Problems in Manufacturing   },
	year = {2012},
	url = {DOI: 10.3182/20120523-3-RO-2023.00143},
	author = {Mouss Leila-Hayet}
}
@article {3392,
	title = {A TSK-Type Recurrent Neuro-Fuzzy Systems for Fault Prognosis JSEA, ISSN Print: 1945-3116},
	journal = {Journal of Software Engineering and Applications},
	volume = {Vol 5},
	number = {N{\textdegree}7},
	year = {2012},
	abstract = {As a result from the demanding of process safety, reliability and environmental constraints, a called of fault detection and diagnosis system become more and more important. In this article some basic aspects of TSK (Takigi Sugeno Kang) neuro-fuzzy techniques for the prognosis and diagnosis of manufacturing systems are presented. In particular, a neuro-fuzzy model that can be used for the identification and the simulation of faults prognosis models is described. The presented model is motivated by a cooperative neuro-fuzzy approach based on a vectorized recurrent neural net-work architecture. The neuro-fuzzy architecture maps the residuals into two classes: a one of fixed direction residuals and another one of faults belonging to rotary kiln},
	url = {https://www.researchgate.net/publication/265800845_A_TSK-Type_Recurrent_Neuro-Fuzzy_Systems_for_Fault_Prognosis},
	author = {Rafik Mahdaoui and Leila Hayet Mouss}
}
@article {3391,
	title = {Installation of Distributed Maintenance Case: Cement Factories of East (SMCE)},
	journal = {Advanced Materials Research},
	volume = {Vol 429},
	year = {2012},
	pages = {PP. 50-55},
	abstract = {In this work, we intend to determine a scheduling rule of maintenance work, which permits the optimization of the random tasks operation (corrective maintenance) while maintaining the works (preventive maintenance) yet scheduled within their temporal intervals. The principle of our approach consists of processing the problem in two stages: Resolution of the static problem for the projected scheduling of the tasks known a priori Resolution of the dynamic problem for random tasks scheduling This work has found a field of application within the maintenance company of the east cements factories, (SMCE) which is in charge of the five (05) east cements companies{\textquoteright} maintenance.},
	url = {https://www.researchgate.net/publication/282498381_Installation_of_Distributed_Maintenance_Case_Cement_Factories_of_East_SMCE},
	author = {Hacene Smadi and Djamel Bellala and Younes Maache}
}
@article {3390,
	title = {Fault diagnosis of rotary kiln using SVM and Binary ACO ISSN 1976-3824},
	journal = {International Journal of Mechanical Science and Technology Springer Berlin Heidelberg},
	volume = {Vol. 26},
	number = {N{\textdegree}2},
	year = {2012},
	pages = {pp. 601-608},
	abstract = {This paper proposes a novel hybrid algorithm for fault diagnosis of rotary kiln based on a binary ant colony (BACO) and support vector machine (SVM). The algorithm can find a subset selection which is attained through the elimination of the features that produce noise or are strictly correlated with other already selected features. The BACO algorithm can improve classification accuracy with an appropriate feature subset and optimal parameters of SVM. The proposed algorithm is easily implemented and because of use of a simple filter in that, its computational complexity is very low. The performance of the proposed algorithm is evaluated through two real Rotary Cement kiln datasets. The results show that our algorithm outperforms existing algorithms},
	url = {https://link.springer.com/article/10.1007/s12206-011-1216-z},
	author = {Ouahab Kadri and Leila Hayet Mouss and Mohamed Djamel Mouss}
}
@article {3389,
	title = {Development of a fuzzy expert system based on PCS 7 and FuzzyControl++,  JES, ISSN: 2278\&ndash;6538},
	journal = {Journal of Electronic Systems},
	volume = {Vol. 1},
	number = { N{\textdegree}1},
	year = {2012},
	pages = {pp: 18-32},
	abstract = {The basic idea of this work was to study the application of expert systems and fuzzy logic in the field of diagnostic and industrial maintenance. For this, a fuzzy expert system designed, developed and simulated in Ain Touta cement society in Batna in the East of Algeria. Dedicated to control cement mill. The application of fuzzy logic and expert systems to control the difference shown in the control system using fuzzy regulators for the operation of the grinding without unnecessary stops, it also helps the operator to know the maintenance task to perform. In addition, regulators decentralization allows the availability of fuzzy control, even if one of the regulators is absent, it does not prevent the other to complete its task to control fineness, mill�s temperature and feed.},
	url = {https://www.researchgate.net/publication/230773223_DEVELOPMENT_OF_A_FUZZY_EXPERT_SYSTEM_BASED_ON_PCS7_AND_FUZZYCONTROL_CEMENT_MILL_CONTROL},
	author = {Hanane Zermane and Leila Hayet Mouss and Sonia Benaicha},
	editor = {Iran University of Science and Technology, Tehran, Iran}
}
@article {3388,
	title = {Recognition of objects in an image for triage ISSN 2249-9555 (Online), 22501355 (Print)},
	journal = {International Journal of Computer Science, Information Technology \& Security (IJCSITS)},
	volume = {Vol.2},
	number = {N{\textdegree}6},
	year = {2012},
	pages = {pp. 1170-1176},
	abstract = {In this paper, our aim is to present existing methods and techniques related to the artificial vision which is an active subject of research. In this work, we elaborate a recognition system of objects in an image for a sorting application. The corner stone of our work is based on the recognition and sorting of objects (geometrical shapes) in an image in artificial vision. The application of these images is achieved using a fixed camera having a regular and permanent field of vision with a consequent angle on a conveyer which holds the objects to be observed. The Objects{\textquoteright} recognition process requires knowledge of our camera characteristics. In order to calibrate this camera, we propose to use a simple Web camera configured to get a photo of the conveyer{\textquoteright}s centre. The objective is to seek for objects in the images, which are considered as unitary and not sequences of images. In this case, the development of automatic methods is required to ensure the sorting rapidity but with additional complex processing to make it efficient. The analysis determines simultaneously both the recensement and arithmetic counting, then the detection of faults based mainly on the comparison of the object shape with the shape defined previously and using this operation the sorting is made. A complementary system equipped with sensors and programmable automata is used to eject each object into corresponding panel},
	url = {https://ieeexplore.ieee.org/document/6689571},
	author = {Bellal Salah Eddine and Mouss Leila Hayet and Bensaadi Rafik}
}
@article {3376,
	title = {Comparative study based on metamodels of methods for controlling performance  ISSN 1694-0814},
	journal = {IJCSI International Journal of computer Science Issues},
	volume = { Vol 9},
	number = { Issue 3 N{\textdegree}2},
	year = {2012},
	pages = {pages  1-9},
	abstract = {The continuing evolution of technology and human behavior puts the company in an uncertain and evolving environment. The company must be responsive and even proactive; therefore, control performance becomes increasingly difficult. Choosing the best method of ensuring control by the management policy of the company and its strategy is also a decision problem. The aim of this paper is the comparative study of three methods: the Balanced Scorecard, GIMSI and SKANDIAs NAVIGATOR for choosing the best method for ensuring the orderly following the policy of the company while maintaining its durability. Our work is divided into three parts. We firstly proposed original structural and kinetic metamodels for the three methods that allow an overall view of a method. Secondly, based on the three metamodels, we have drawn a generic comparison to analyze completeness of the method. Thirdly, we performed a restrictive comparison based on a restrictive set of criteria related to the same aspect example organizational learning, which is one of the bricks of knowledge management for a reconciliation to a proactive organization in an environment disturbed and uncertain, and the urgent needs. We note that we applied the three methods are applied in our precedent works. [1][23]},
	url = {https://www.researchgate.net/publication/264274742_Comparative_study_based_on_metamodels_of_methods_for_controlling_performance},
	author = {Samia Aitouche and Mohamed Djamel Mouss and Ratte Sylvie and Abdelghafour Kaanit}
}
@article {3356,
	title = {Comparative study based on metamodels of methods for controlling performance, ISSN/ISBN 1694-08141694-0784I},
	journal = {IJCSI International Journal of Computer Science Issues},
	volume = {Vol. 9 N 3},
	number = {Issue 3, N 2},
	year = {2012},
	pages = {pp. 1-9 },
	abstract = {The continuing evolution of technology and human behavior puts the company in an uncertain and evolving environment. The company must be responsive and even proactive; therefore, control performance becomes increasingly difficult. Choosing the best method of ensuring control by the management policy of the company and its strategy is also a decision problem. The aim of this paper is the comparative study of three methods: the Balanced Scorecard, GIMSI and SKANDIAs NAVIGATOR for choosing the best method for ensuring the orderly following the policy of the company while maintaining its durability. Our work is divided into three parts. We firstly proposed original structural and kinetic metamodels for the three methods that allow an overall view of a method. Secondly, based on the three metamodels, we have drawn a generic comparison to analyze completeness of the method. Thirdly, we performed a restrictive comparison based on a restrictive set of criteria related to the same aspect example organizational learning, which is one of the bricks of knowledge management for a reconciliation to a proactive organization in an environment disturbed and uncertain, and the urgent needs. We note that we applied the three methods are applied in our precedent works. [1][23]},
	url = {http://www.ijcsi.org/articles/Comparative-study-based-on-metamodels-of-methods-for-controlling-performance.php},
	author = {Aitouche Samia and Mouss Med Djamel and Mouss kinza Nadia}
}
@article {3355,
	title = {Une Approche Modulaire Bas{\'e}e sur les R{\'e}seaux d\&rsquo;Automates Stochastiques pour l\&rsquo;Evaluation des Performances des Syst{\`e}mes de Production Manufacturiers, janvier 2013, ISSN 1112-9697},
	journal = {RST, Revue des Sciences et Technologie},
	volume = {Volume 4},
	number = {N{\textdegree}1},
	year = {2012},
	pages = {pp. 63-81 },
	abstract = {Dans ce papier, nous nous int{\'e}ressons au probl{\`e}me de l{\textquoteright}{\'e}valuation des performances des syst{\`e}mes de production complexes par une approche analytique. Nous proposons une approche modulaire combinant deux outils compl{\'e}mentaires. Le premier est le formalisme des R{\'e}seaux d{\textquoteright}Automates Stochastiques (RAS) pour la mod{\'e}lisation modulaire du syst{\`e}me de production. Le deuxi{\`e}me est bas{\'e} sur les Processus de Markov (PdM) pour l{\textquoteright}analyse des mod{\`e}les repr{\'e}sentant ce syst{\`e}me. L{\textquoteright}avantage de cette approche r{\'e}side dans le fait que la mod{\'e}lisation se fait sur des syst{\`e}mes d{\'e}j{\`a} d{\'e}compos{\'e}s et non sur des syst{\`e}mes d{\'e}composables comme dans la plus part des approches modulaires propos{\'e}es dans la litt{\'e}rature. Nous adoptons une d{\'e}composition {\`a} la fois fonctionnelle et structurelle sur le syst{\`e}me de production. Nous illustrons notre approche par un exemple tr{\`e}s r{\'e}pondu dans la litt{\'e}rature pour {\'e}valuer leurs performances},
	url = {http://193.194.69.34/rst2/images/vol4n1/320.pdf},
	author = {Benfarhi Amor and Mechenene Athmane and Mouss kinza Nadia}
}
@article {3231,
	title = {Comparative study based on metamodels of methods for controlling performance, Mai },
	journal = {IJCSI International Journal of Computer Science Issues},
	volume = {Vol. 9},
	number = {N 3 Issue 3  N 2},
	year = {2012},
	pages = {pp 1-9},
	abstract = {The continuing evolution of technology and human behavior puts the company in an uncertain and evolving environment. The company must be responsive and even proactive; therefore, control performance becomes increasingly difficult. Choosing the best method of ensuring control by the management policy of the company and its strategy is also a decision problem. The aim of this paper is the comparative study of three methods: the Balanced Scorecard, GIMSI and SKANDIAs NAVIGATOR for choosing the best method for ensuring the orderly following the policy of the company while maintaining its durability. Our work is divided into three parts. We firstly proposed original structural and kinetic metamodels for the three methods that allow an overall view of a method. Secondly, based on the three metamodels, we have drawn a generic comparison to analyze completeness of the method. Thirdly, we performed a restrictive comparison based on a restrictive set of criteria related to the same aspect example organizational learning, which is one of the bricks of knowledge management for a reconciliation to a proactive organization in an environment disturbed and uncertain, and the urgent needs. We note that we applied the three methods are applied in our precedent works. [1][23]},
	url = {https://www.researchgate.net/publication/264274742_Comparative_study_based_on_metamodels_of_methods_for_controlling_performance},
	author = {Aitoche Samia and Mouss Med Djamel and Kaanit Abdelghafor}
}
@article {3155,
	title = {Comparative study based on metamodels of methods for controlling performance, Mai ISSN 1694-0814 },
	journal = {IJCSI International Journal of Computer Science Issues,},
	volume = {Vol. 9},
	number = {Issue 3 N{\textdegree} 2},
	year = {2012},
	pages = {pp 1-9},
	abstract = {The continuing evolution of technology and human behavior puts the company in an uncertain and evolving environment. The company must be responsive and even proactive; therefore, control performance becomes increasingly difficult. Choosing the best method of ensuring control by the management policy of the company and its strategy is also a decision problem. The aim of this paper is the comparative study of three methods: the Balanced Scorecard, GIMSI and SKANDIAs NAVIGATOR for choosing the best method for ensuring the orderly following the policy of the company while maintaining its durability. Our work is divided into three parts. We firstly proposed original structural and kinetic metamodels for the three methods that allow an overall view of a method. Secondly, based on the three metamodels, we have drawn a generic comparison to analyze completeness of the method. Thirdly, we performed a restrictive comparison based on a restrictive set of criteria related to the same aspect example organizational learning, which is one of the bricks of knowledge management for a reconciliation to a proactive organization in an environment disturbed and uncertain, and the urgent needs. We note that we applied the three methods are applied in our precedent works. [1][23]},
	url = {https://www.researchgate.net/publication/264274742_Comparative_study_based_on_metamodels_of_methods_for_controlling_performance},
	author = {Aitoche Samia and Mouss Med Djamel and Kaani Abdelghafor}
}
@article {3146,
	title = {he Temporal Neuro-Fuzzy Systems Learning Using Artificial Immune Algorithm,  ISSN/ISBN 1970 \&ndash; 8734/1970-8742},
	journal = {IREME International Review of Mechanical Engineering},
	volume = {Vol.4},
	number = { N.1},
	year = {2012},
	pages = {pp 918-922},
	abstract = {In this work we propose an immune approach for learning neurofuzzy systems, namely NEFDIAG (NEuro Fuzzy DIAGnosis). NEFDIAG is a software devoted primarily to creation, training and test of a classification Neuro-Fuzzy system of industrial process failures. But in case of great number of input variables NEFDIAG structure grows essentially and the dimensionality of learning task becomes a problem. Existing methods of NEFDIAG learning allow only identifying parameters of NEFDIAG without modifying its structure. We propose an immune Artificial learning approach for NEFDIAG learning based on clonal selection and immune network theories. It allows not only to identify NEFDIAG parameters but also to reduce number of neurons in hidden layers (rules layer) of NEFDIAG.},
	url = {https://www.researchgate.net/publication/290061642_The_temporal_Neuro-Fuzzy_systems_learning_using_artificial_immune_algorithm},
	author = {Mahdaoui Rafik and Mouss Leila Hayet and Mouss Med Djamel}
}
@article {3143,
	title = {SKACICM a method for development of knowledge management and innovation system e-KnowSphere, ISSN  1112-9697},
	journal = {RST, Revue des Sciences et Technologie},
	volume = {Vol. 5},
	number = {No. 2},
	year = {2012},
	abstract = {
	The purpose of this paper is to propose a hybrid method 



	SKACICM of development of knowledge management systems. Based on 



	weaknesses of the method of performance dashboards SKANDIA, we proposed 



	a pragmatisation and adaptation of Skandia to give (ASKANDIA), by 



	enrichment of its performance book. We ameliorated CICM model against the 



	requirements of GERAM to give ACICM model by mappings between 



	their proposed metamodels. We tried to hybridise ACICM, ASKANDIA



	and business intelligence to propose a new method SKACICM of development



	of knowledge management systems. We applied SKACICM on a cement 



	company to develop software containing three main modules, module 



	knowledge management, module business intelligence and performance 



	dashboard system. The developed system ameliorated the performance of the



	enterprise by 26\% and could be generalised to other manufacturing or service 



	systems

},
	url = {https://www.researchgate.net/publication/297647140_SKACICM_a_method_for_development_of_knowledge_management_and_innovation_system_e-KnowSphere},
	author = {Aitoche Samia and Mouss Med Djamel}
}
@article {3139,
	title = {An Efficient optimization method for the detection of new failures modes in industrial plants, Janvier,  ISSN  1112-9697},
	journal = {RST, Revue des Sciences et Technologie},
	volume = {Vol 03},
	number = {N{\textdegree}1},
	year = {2012},
	pages = {pp 43-52},
	abstract = {This paper addresses the problem of the detection of new failures modes in industrial plants. Since its associated optimization problem is NP-hard, an efficient method based on taboo search and Bezdeck criterion is proposed, intensification and diversification strategies are also included because of the non connectivity of the solutions space. The proposed approach exercised on a simulated industrial system was shown to exhibit good performances in dealing with the occurrence of new faults in industrial processes, despite that such search algorithm is perfectly general, it can be easily extended to more complicated schemes. },
	url = {http://193.194.69.34/rst2/images/vol3n1/5BENTERCIUA.pdf},
	author = {Bentercia Toufik and Mouss Leila Hayet and Mouss Med Djamel}
}
@article {3112,
	title = {Vers une Optimisation de l\&rsquo;Algorithme AntTreeStoch. Revue, ISSN 1112-9697},
	journal = {RST, Revue des Sciences et Technologie},
	volume = {Vol. 3},
	number = {N{\textdegree}1},
	year = {2012},
	pages = {p p. 125-134},
	abstract = {Dans cet article, nous pr{\'e}sentons AntTreeStoch un nouvel algorithme de classification hi{\'e}rarchique et non supervis{\'e}e. Cet algorithme est bas{\'e} sur l{\textquoteright}auto-organisation observ{\'e}e chez les fourmis r{\'e}elles. L{\textquoteright}{\'e}mergence des d{\'e}placements et les assemblages des fourmis, bas{\'e}s sur la similarit{\'e} entre les individus permet d{\textquoteright}identifier les {\'e}tats de fonctionnements d{\textquoteright}un syst{\`e}me industriel dynamique et complexe. L{\textquoteright}algorithme offre aussi la possibilit{\'e} de cr{\'e}er de nouvelles classes pour les donn{\'e}es non identifi{\'e}es. En effet le choix d{\textquoteright}utiliser AntTreeStoch dans notre syst{\`e}me de diagnostic a {\'e}t{\'e} motiv{\'e} par la possibilit{\'e} d{\textquoteright}utiliser {\`a} la fois des donn{\'e}es num{\'e}riques et symboliques. Les exp{\'e}riences effectu{\'e}es sur la base de donn{\'e}es Iris, montrent que AntTreeStoch fournit de tr{\`e}s bons r{\'e}sultats.},
	url = {https://www.researchgate.net/publication/329886361_Vers_une_Optimisation_de_l{\textquoteright}Algorithme_AntTreeStoch},
	author = {Kadri Ouahab and Mouss Leila Hayet and Mouss Med Djamel}
}
@article {3085,
	title = {An Efficient optimization method for the detection of new failures modes in industrial plants, Janvier, ISSN 1112-9697},
	journal = { RST, Revue des Sciences et Technologie},
	volume = {Vol 03},
	number = { N{\textdegree}1},
	year = {2012},
	pages = {pp 43-52},
	author = {Bentercia Toufik and Mouss Leila Hayet and Mouss Med Djamel}
}
@article {3084,
	title = {Vers une Optimisation de l\&rsquo;Algorithme AntTreeStoch. Revue, ISSN 1112-9697},
	journal = { RST, Revue des Sciences et Technologie},
	volume = { Vol. 3 },
	number = {N{\textdegree}1},
	year = {2012},
	pages = {p. 125-134 },
	author = {Kadri Ouahab and Mouss Leila Hayet and Mouss Med Djamel}
}
@article {3070,
	title = {A TSK-Type Recurrent Neuro-Fuzzy Systems for Fault Prognosis, ISSN/ISBN 1945-3116/1945-3124},
	journal = {JESA  Journal of Software Engineering and Applications.},
	volume = {Vol. 58},
	number = { Issue 7},
	year = {2012},
	pages = { pp.449-458},
	abstract = {As a result from the demanding of process safety, reliability and environmental constraints, a called of fault detection and diagnosis system become more and more important. In this article some basic aspects of TSK (Takigi Sugeno Kang) neuro-fuzzy techniques for the prognosis and diagnosis of manufacturing systems are presented. In particular, a neuro-fuzzy model that can be used for the identification and the simulation of faults prognosis models is described. The presented model is motivated by a cooperative neuro-fuzzy approach based on a vectorized recurrent neural net-work architecture. The neuro-fuzzy architecture maps the residuals into two classes: a one of fixed direction residuals and another one of faults belonging to rotary kiln.},
	url = {https://www.researchgate.net/publication/265800845_A_TSK-Type_Recurrent_Neuro-Fuzzy_Systems_for_Fault_Prognosis},
	author = {Mahdaoui Rafik and Mouss Leila Hayet and Mouss Med Djamel}
}
@article {3066,
	title = {Fault diagnosis of rotary kiln using SVM and Binary ACO, ISSN 1976-3824},
	journal = {JMST Journal of Mechanical Science and Technology. Editeur / Publisher. Springer, Heidelberg, ALLEMAGNE },
	volume = {Vol. 26},
	number = {N{\textdegree}2},
	year = {2012},
	pages = {pp.601-608},
	abstract = {This paper proposes a novel hybrid algorithm for fault diagnosis of rotary kiln based on a binary ant colony (BACO) and support vector machine (SVM). The algorithm can find a subset selection which is attained through the elimination of the features that produce noise or are strictly correlated with other already selected features. The BACO algorithm can improve classification accuracy with an appropriate feature subset and optimal parameters of SVM. The proposed algorithm is easily implemented and because of use of a simple filter in that, its computational complexity is very low. The performance of the proposed algorithm is evaluated through two real Rotary Cement kiln datasets. The results show that our algorithm outperforms existing algorithms.},
	url = {https://link.springer.com/article/10.1007/s12206-011-1216-z},
	author = {Kadri Ouahab and Mouss Leila Hayet and Mouss Med Djamel}
}
@article {3017,
	title = {Comparative study based on metamodels of methods for controlling performance, ISSN 1694-0814},
	journal = {IJCSI International Journal of Computer Science Issues},
	volume = {Vol~9 N{\textdegree} 3},
	number = { Issue 3 N{\textdegree} 2},
	year = {2012},
	pages = {pp: 1-9},
	abstract = {The continuing evolution of technology and human behavior puts the company in an uncertain and evolving environment. The company must be responsive and even proactive; therefore, control performance becomes increasingly difficult. Choosing the best method of ensuring control by the management policy of the company and its strategy is also a decision problem. The aim of this paper is the comparative study of three methods: the Balanced Scorecard, GIMSI and SKANDIAs NAVIGATOR for choosing the best method for ensuring the orderly following the policy of the company while maintaining its durability. Our work is divided into three parts. We firstly proposed original structural and kinetic metamodels for the three methods that allow an overall view of a method. Secondly, based on the three metamodels, we have drawn a generic comparison to analyze completeness of the method. Thirdly, we performed a restrictive comparison based on a restrictive set of criteria related to the same aspect example organizational learning, which is one of the bricks of knowledge management for a reconciliation to a proactive organization in an environment disturbed and uncertain, and the urgent needs. We note that we applied the three methods are applied in our precedent works.},
	url = {https://www.researchgate.net/publication/264274742_Comparative_study_based_on_metamodels_of_methods_for_controlling_performance},
	author = {Aitoche Samia and Mouss Med Djamel and Mouss Leila Hayet}
}
@article {3016,
	title = {Efficient Tool for the Recognition of the Leaves of Plants, ISSN 1694-0814},
	journal = {IJCSI International Journal of Computer Science Issues},
	year = {2012},
	abstract = {This work appears in pattern recognition in the agronomic domain, especially for the identification of the leaves of plants, while using the adaptive technique of neuronal networks. In this article, we will expose our tool; which is intended for two categories of specialists, the first consisting of researchers in the field of botany, as the second, so all scientists, who may use this work in their own applications. We will expose also, the capacities of generalization of the neuronal networks and their implementation to our problem},
	url = {https://www.researchgate.net/publication/266278880_Efficient_Tool_for_the_Recognition_of_the_Leaves_of_Plants},
	author = {Abdelhadi Adel and Mouss Leila Hayet and Mahdaoui Rafik}
}
@article {3015,
	title = {A Temporal Neuro-Fuzzy Monitoring System to Manufacturing Systems, May, ISSN 1694-0814},
	journal = {IJCSI International Journal of Computer Science Issues},
	volume = {Vol 8},
	number = { Issue 3},
	year = {2012},
	abstract = {Fault diagnosis and failure prognosis are essential techniques in improving the safety of many manufacturing systems. Therefore, on-line fault detection and isolation is one of the most important tasks in safety-critical and intelligent control systems. Computational intelligence techniques are being investigated as extension of the traditional fault diagnosis methods. This paper discusses the Temporal Neuro-Fuzzy Systems (TNFS) fault diagnosis within an application study of a manufacturing system. The key issues of finding a suitable structure for detecting and isolating ten realistic actuator faults are described. Within this framework, data-processing interactive software of simulation baptized NEFDIAG (NEuro Fuzzy DIAGnosis) version 1.0 is developed. This software devoted primarily to creation, training and test of a classification Neuro-Fuzzy system of industrial process failures. NEFDIAG can be represented like a special type of fuzzy perceptron, with three layers used to classify patterns and failures. The system selected is the workshop of SCIMAT clinker, cement factory in Algeria.},
	url = {https://www.researchgate.net/publication/51917361_A_Temporal_Neuro-Fuzzy_Monitoring_System_to_Manufacturing_Systems},
	author = {Mahdaoui Rafik and Mouss Leila Hayet and Mouss Med Djamel}
}
@article {3012,
	title = {The Temporal Neuro-Fuzzy Systems Learning Using Artificial Immune Algorithm, ISSN/ISBN 1970 \&ndash; 8734/1970-8742},
	journal = {IREME International Review of Mechanical Engineering},
	volume = {Vol 4},
	number = {N{\textdegree} 1},
	year = {2012},
	pages = {pp: 918-922},
	abstract = {In this work we propose an immune approach for learning neurofuzzy systems, namely NEFDIAG (NEuro Fuzzy DIAGnosis). NEFDIAG is a software devoted primarily to creation, training and test of a classification Neuro-Fuzzy system of industrial process failures. But in case of great number of input variables NEFDIAG structure grows essentially and the dimensionality of learning task becomes a problem. Existing methods of NEFDIAG learning allow only identifying parameters of NEFDIAG without modifying its structure. We propose an immune Artificial learning approach for NEFDIAG learning based on clonal selection and immune network theories. It allows not only to identify NEFDIAG parameters but also to reduce number of neurons in hidden layers (rules layer) of NEFDIAG.},
	url = {https://www.researchgate.net/publication/290061642_The_temporal_Neuro-Fuzzy_systems_learning_using_artificial_immune_algorithm},
	author = {Mahdaoui Rafik and Mouss Leila Hayet and Mouss Med Djamel}
}
@article {3011,
	title = {An Efficient optimization method for the detection of new failures modes in industrial plants, Janvier, ISSN/ISBN 1112-9697},
	journal = {RST, Revue des Sciences et Technologie},
	volume = {Vol 03},
	number = { N{\textdegree}1},
	year = {2012},
	pages = {pp: 43-52},
	author = {Bentercia Toufik and Mouss Leila Hayet and Besaadi Rafik}
}
@article {3010,
	title = {Vers une Optimisation de l\&rsquo;Algorithme AntTreeStoch, ISSN/ISBN 1112-9697},
	journal = {RST, Revue des Sciences et Technologie},
	volume = {Vol 3},
	number = {N{\textdegree}1},
	year = {2012},
	pages = {p: 125-134},
	abstract = {Dans cet article, nous pr{\'e}sentons AntTreeStoch un nouvel algorithme de classification hi{\'e}rarchique et non supervis{\'e}e. Cet algorithme est bas{\'e} sur l{\textquoteright}auto-organisation observ{\'e}e chez les fourmis r{\'e}elles. L{\textquoteright}{\'e}mergence des d{\'e}placements et les assemblages des fourmis, bas{\'e}s sur la similarit{\'e} entre les individus permet d{\textquoteright}identifier les {\'e}tats de fonctionnements d{\textquoteright}un syst{\`e}me industriel dynamique et complexe. L{\textquoteright}algorithme offre aussi la possibilit{\'e} de cr{\'e}er de nouvelles classes pour les donn{\'e}es non identifi{\'e}es. En effet le choix d{\textquoteright}utiliser AntTreeStoch dans notre syst{\`e}me de diagnostic a {\'e}t{\'e} motiv{\'e} par la possibilit{\'e} d{\textquoteright}utiliser {\`a} la fois des donn{\'e}es num{\'e}riques et symboliques. Les exp{\'e}riences effectu{\'e}es sur la base de donn{\'e}es Iris, montrent que AntTreeStoch fournit de tr{\`e}s bons r{\'e}sultats.},
	url = {https://www.researchgate.net/publication/329886361_Vers_une_Optimisation_de_l{\textquoteright}Algorithme_AntTreeStoch},
	author = {Kadri Ouahab and Mouss Leila Hayet and Mouss Med Djamel}
}
@article {3007,
	title = {Development of a fuzzy expert system based on PCS 7 and FuzzyControl++, ISSN 2278\&ndash;6538},
	journal = {JES, Journal of Electronic Systems},
	volume = {Vol 1},
	number = {N{\textdegree} 1},
	year = {2012},
	pages = {pp: 18-32},
	abstract = {The basic idea of this work was to study the application of expert systems and fuzzy logic in the field of diagnostic and industrial maintenance. For this, a fuzzy expert system designed, developed and simulated in Ain Touta cement society in Batna in the East of Algeria. Dedicated to control cement mill. The application of fuzzy logic and expert systems to control the difference shown in the control system using fuzzy regulators for the operation of the grinding without unnecessary stops, it also helps the operator to know the maintenance task to perform. In addition, regulators decentralization allows the availability of fuzzy control, even if one of the regulators is absent, it does not prevent the other to complete its task to control fineness, mill{\textquoteright}s temperature and feed.},
	url = {https://www.researchgate.net/publication/230773223_DEVELOPMENT_OF_A_FUZZY_EXPERT_SYSTEM_BASED_ON_PCS7_AND_FUZZYCONTROL_CEMENT_MILL_CONTROL},
	author = {Zermane Hanan and Mouss Leila Hayet}
}
@article {1838,
	title = {A TSK-Type Recurrent Neuro-Fuzzy Systems for Fault Prognosis, ISSN/ISBN: 1945-3116/1945-3124.},
	journal = { Journal of Software Engineering and Applications (JESA)},
	volume = {58},
	number = {07},
	year = {2012},
	pages = {449-458},
	abstract = {As a result from the demanding of process safety, reliability and environmental constraints, a called of fault detection and diagnosis system become more and more important. In this article some basic aspects of TSK (Takigi Sugeno Kang) neuro-fuzzy techniques for the prognosis and diagnosis of manufacturing systems are presented. In particular, a neuro-fuzzy model that can be used for the identification and the simulation of faults prognosis models is described. The presented model is motivated by a cooperative neuro-fuzzy approach based on a vectorized recurrent neural network architecture. The neuro-fuzzy architecture maps the residuals into two classes: a one of fixed direction residuals and another one of faults belonging to rotary kiln.},
	url = {https://file.scirp.org/Html/5-9301363_19730.htm},
	author = {Mahdaoui Rafik and Mouss Leila Hayet}
}
@article {1734,
	title = {Fault diagnosis of rotary kiln using SVM and binary ACO, 2012, ISSN/ISBN: 1976-3824},
	journal = {Journal of Mechanical Science and Technology},
	volume = {26},
	number = {02},
	year = {2012},
	pages = {601-608},
	abstract = {This paper proposes a novel hybrid algorithm for fault diagnosis of rotary kiln based on a binary ant colony (BACO) and support vector machine (SVM). The algorithm can find a subset selection which is attained through the elimination of the features that produce noise or are strictly correlated with other already selected features. The BACO algorithm can improve classification accuracy with an appropriate feature subset and optimal parameters of SVM. The proposed algorithm is easily implemented and because of use of a simple filter in that, its computational complexity is very low. The performance of the proposed algorithm is evaluated through two real Rotary Cement kiln datasets. The results show that our algorithm outperforms existing algorithms.},
	url = {https://doi.org/10.1007/s12206-011-1216-z},
	author = {Kadri Ouahab and Mouss Leila Hayet and Mouss Med Djamel}
}
@mastersthesis {6057,
	title = {Am{\'e}lioration continue de la conception de produit : Etude de cas r{\'e}el},
	year = {2011},
	author = {Lemouchi Fouad}
}
@mastersthesis {6056,
	title = {Optimisation des processus de conception des proc{\'e}d{\'e}s de fabrication\&raquo;},
	year = {2011},
	author = {Kherredine Zakaria}
}
@mastersthesis {6048,
	title = {Planification des traches de maintenance},
	year = {2011},
	author = {Maache Younes}
}
@mastersthesis {5819,
	title = {Mise en place d\&$\#$39;un plan d\&$\#$39;amelioration du processus de d{\'e}veloppement d\&$\#$39;un produit },
	year = {2011},
	author = {Benchrif Fateh}
}
@mastersthesis {5818,
	title = {Reconnaissance de formes du chiffre arabe imprim{\'e}: Application au code a bare d\&$\#$39;un produit},
	year = {2011},
	author = {Derdour Khadidja}
}
@mastersthesis {5811,
	title = {Les syst{\`e}mes experts et la logique floue dans le domaine du diagnostic et de la maintenance},
	year = {2011},
	author = {Zermane Hanane}
}
@conference {4596,
	title = {An efficient hybrid approach based on SVM and Binary ACO for featureSelection},
	booktitle = {ICMAS{\textquoteright}11 International Conference on Modeling and Applied.Edited by Agostino Bruzzone, Claudia Frydman,  Marina  Masset,  Mike Mcginnis , Miquel Angel, and Piera Gregory and Zacharewicz, Rome, Italy},
	year = {2011},
	pages = {pp 08-15},
	url = {http://www.liophant.org/i3m/i3m2011/MAS_Proceedings.pdf},
	author = {Mouss Leila Hayet and Kadri Ouahab and Merah Fouad and Abdelhadi Adel and Mouss Med Djamel}
}
@proceedings {4595,
	title = {Genetic Algorithm with Pareto Fronts for Multi-Criteria Optimization Case Study \&ldquo;Milling Parameters Optimization,5th IEEE, Print ISBN: 978-1-4673-0247-0},
	journal = {International Conference on Software Knowledge Information, Industrial Management and Application, University of Sannio , Benevento, Italy},
	year = {2011},
	abstract = {The cutting parameters such as the cutting speed, feed speed, and the chip thickness have huge effects on the machining quality and the productivity rate. The optimal choice of these parameters gives a perfect machining without risks and with high productivity rate. The proposed problem tries to minimizing two nonlinear objectives functions: the machining time and the machining cost under several constraints. The well-chosen of conform optimization methods to resolve this problem gives a quick and reliable decision. The genetic algorithms permit the treatment of non-linear functions. They allow a good exploitation in the field of research as well as the non feasible field is not eliminated but sanctioned with high fitness values and a good exploration by the diversification operations that improve the solution quality.},
	url = {https://ieeexplore.ieee.org/document/6089970},
	author = {Zeghichi Nafissa and Assas Mekki and Mouss Leila Hayet}
}
@proceedings {4593,
	title = {Modeling and Evaluation of Single Machine Flexibility Using Fuzzy Entropyand Genetic Algorithm Based Approach. InProceedings of 16th IEEE, ISSN: 1946-0740,   E-ISBN: 978-1-4577-0016-3, Print ISBN: 978-1-4577-0017-0},
	journal = {International Conference on Emerging Technologies and Factory Automation (ETFA 2011),Toulouse},
	year = {2011},
	author = {Bentrcia Toufik and Mouss Leila Hayet and Mouss Med Djamel and Benbouzid Med El Hachemi}
}
@proceedings {3540,
	title = {Optimization of Cooperative Outsourcing Between Single-Outsourcer Multiple-Subcontractors: a Genetic Algorithm Based Approach},
	journal = {(INCOM{\textquoteright}12),  14th IFAC Symposium on Information Control Problems in Manufacturing},
	year = {2011},
	author = {Mouss kinza Nadia}
}
@proceedings {3538,
	title = {Proposition d\&rsquo;une approche probabiliste floue pour la mesure de la flexibilit{\'e} des syst{\`e}mes de production },
	journal = {CIGI 9 Congres International de G{\'e}nie Industriel},
	year = {2011},
	author = {Mouss kinza Nadia}
}
@proceedings {3534,
	title = {Proposed decision support in a disturbed environment using the method GIMSI},
	journal = {CSAE  IEEE Internationale Conference on, Computer Science and Automation Engineering  Shangai CHINA},
	year = {2011},
	author = {Aitoche Samia}
}
@proceedings {3533,
	title = {Optimization of outsourcing activity under a win- win single outsourcer-single subcontractor relation ship },
	journal = {Cie41  41st International Conference on Computers and Industrial Engineering Los Angeles, CA USA},
	year = {2011},
	author = {Haoues Mohamed}
}
@proceedings {3526,
	title = {Proposed decision support in a disturbed environment using the method GIMSI  },
	journal = {(CSAE 2011   IEEE International Conference on Computer Science and Automation Engineering},
	year = {2011},
	url = {DOI: 10.1109/CSAE.2011.5952917},
	author = {Aitoche Samia}
}
@proceedings {3515,
	title = {SVM and Fuzzy-neural network for the diagnosis by pattern recognition of a photovoltaic system, ISBN : 978-9931-9117-0-8},
	journal = { CPI{\textquoteright}2011 The7th International Conference Integrated Desing and Production},
	year = {2011},
	author = {Rezgui Wail}
}
@proceedings {3514,
	title = {Mod{\'e}lisation des aco par l\&rsquo;application des SMA r{\'e}actifs. 17, 18 \&amp; 19 octobre 2011 Oujda, Maroc, ISBN : 978-9931-9117-0-8},
	journal = { CPI{\textquoteright}2011 The7th International Conference Integrated Desing and Production},
	year = {2011},
	author = {Kadri Ouhab}
}
@proceedings {3506,
	title = {Proposed decision support in a disturbed environment using the method GIMSI },
	journal = { CSAE 2011 International Conference on Computer Science and Automation Engineering},
	year = {2011},
	author = {Aitoche Samia}
}
@proceedings {3496,
	title = { Modeling and Evaluation of Single Machine Flexibility Using Fuzzy Entropy and Genetic Algorithm Based Approach. Toulouse, ISBN: 978-94-62520-74-5    ISSN: 2352-538X},
	journal = {(ETFA 2011) The 16th IEEE International Conference on Emerging Technologies and Factory Automation  },
	year = {2011},
	author = {Mouss Leila-Hayet}
}
@proceedings {3493,
	title = {An efficient hybrid approach based on SVM and Binary ACO for feature SelectionSeptember 12-15, Rome, Italy.pp 08-15 Edited by Agostino Bruzzone, Claudia Frydman,  Marina  Masset,  Mike Mcginnis , Miquel Angel, and Piera Gregory and Zacharewicz},
	journal = {(ICMAS{\textquoteright}11), International Conference on Modeling and Applied Simulation},
	year = {2011},
	url = {http://www.liophant.org/i3m/i3m2011/MAS_Proceedings.pdf},
	author = {Mouss Leila-Hayet}
}
@proceedings {3459,
	title = {Enhancement of Process State Vector for Industrial Diagnostic Applications Using a Statistical Reduction Approach},
	journal = { CIAM{\textquoteright}2011, 1st International Conference on Automation and Mechatronics},
	year = {2011},
	author = {Bentrcia Toufik}
}
@proceedings {3434,
	title = {Mod{\'e}lisation des aco par l\&rsquo;application des SMA r{\'e}actifs},
	journal = {CPI{\textquoteright}2011 The 8th International Conference on Integrated Design and Production},
	year = {2011},
	author = {Kadri Ouhab}
}
@proceedings {3433,
	title = {A local search Genetic Algorithm for the Job Shop Scheduling Problem},
	journal = {CPI{\textquoteright}2011 The 8th International Conference on Integrated Design and Production},
	year = {2011},
	author = {Kebabla M{\textquoteright}barek}
}
@proceedings {3432,
	title = {Reconnaissance des chifffres d\&$\#$39;une code a bare},
	journal = {CPI{\textquoteright}2011 The 8th International Conference on Integrated Design and Production},
	year = {2011},
	author = {Derdour Khadidja}
}
@proceedings {3416,
	title = {Genetic algorithm with Pareto fronts for multi-criteria optimization case study \&ldquo;milling parameters optimization\&rdquo;},
	journal = {(SKIMA, 2011) 5th International Conference onSoftware, Knowledge Information, Industrial Management and Applications   },
	year = {2011},
	url = {DOI: 10.1109/SKIMA.2011.6089970},
	author = {Zeghichi Nafissa}
}
@proceedings {3408,
	title = {Modeling and Evaluation of Single Machine Flexibility Using Fuzzy Entropy and Genetic Algorithm Based Approach, ISSN: 1946-0740,  E-ISBN: 978-1-4577-0016-3, Print ISBN: 978-1-4577-0017-0},
	journal = {(ETFA{\textquoteright}12),  16th IEEE International Conference on Emerging Technologies and Factory Automation   },
	year = {2011},
	author = {Mouss Leila-Hayet}
}
@proceedings {3406,
	title = {Proposition d\&rsquo;une approche probabiliste floue pour la mesure de la flexibilit{\'e} des syst{\`e}mes de production, {\'E}cole Polytechnique de Montr{\'e}al {\`a} Saint-Sauveur, 12, 13 et 14 octobre },
	journal = {CIGI 9 Congres International de G{\'e}nie Industriel   },
	year = {2011},
	address = {Qu{\'e}bec, CANADA},
	url = {http://www.simagi.polymtl.ca/cigi2011  /articles/_Bentrcia-Proposition.pdf},
	author = {Mouss Leila-Hayet}
}
@article {3375,
	title = {Drain current model for undoped Gate Stack Double Gate (GSDG) MOSFETs including the hot-carrier degradation effects},
	journal = {Microelectronics Reliability},
	volume = {Volume 51},
	number = {Issue 3},
	year = {2011},
	pages = {pp 550-555},
	abstract = {
	
		
			
				In this paper, analytical models of drain current and small signal parameters for undoped symmetric Gate Stack Double Gate (GSDG) MOSFETs including the interfacial hot-carrier degradation effects are presented. The models are used to study the device behavior with the interfacial traps densities. The proposed model has been implemented in the SPICE circuit simulator and the capabilities of the model have been explored by circuit simulation example. The developed approaches are verified and validated by the good agreement found with the 2D numerical simulations for wide range of device parameters and bias conditions. GSDG MOSFET design and the accurate proposed model can alleviate the critical problem and further improve the immunity of hot-carrier effects of DG MOSFET-based circuits after hot-carrier damage.
			
		
	

},
	url = {https://www.sciencedirect.com/science/article/pii/S0026271410005287},
	author = {Fay{\c c}al Djeffal and Toufik Bentrcia and M.A Abdi and T. Bendib}
}
@article {3374,
	title = {An analytical drain current model for undoped GSDG MOSFETs including interfacial hot-carrier effects},
	journal = {Physica Status Solidi (C) Solid State Physics},
	volume = {Volume 8},
	number = {Issue 3},
	year = {2011},
	pages = {pp. 907-910},
	abstract = {In the present work, a comprehensive drain current model including the interfacial hot-carrier degradation effects for undoped symmetric gate stack double gate (GSDG) MOSFET and the expressions of transconductance and drain conductance have been obtained. Exploiting this new device model, we have found that the incorporation of a high-k layer between oxide region and gate metal leads to drain current enhancement, improved output conductance, increased transconductance parameter and enhanced interfacial hot-carrier immunity. The proposed model has been validated by comparing the analytical I-V characteristics with 2-D numerical results. The obtained results may provide a theoretical basis and physical insights for multigate MOSFET-based circuits design including the hot-carrier degradation effects. ({\textcopyright} 2011 WILEY-VCH Verlag GmbH \&amp; Co. KGaA, Weinheim)},
	url = {https://www.researchgate.net/publication/229913057_An_analytical_drain_current_model_for_undoped_GSDG_MOSFETs_including_interfacial_hot-carrier_effects},
	author = {Fay{\c c}al Djeffal and Toufik Bentrcia and T. Bendib}
}
@article {3373,
	title = {Temporal Neuro-Fuzzy Systems in Fault Diagnosis and Prognosis ISSN 1974-9821},
	journal = {International Review on Modelling and Simulations (IREMOS) },
	volume = {Vol.4 },
	number = {N{\textdegree}1},
	year = {2011},
	pages = {pp 436-440},
	abstract = {Fault diagnosis and failure prognosis are essential techniques in improving the safety of many manufacturing systems. Therefore, on-line fault detection and isolation is one of the most important tasks in safety-critical and intelligent control systems. Computational intelligence techniques are being investigated as extension of the traditional fault diagnosis methods. This paper discusses the properties of the TSK/Mamdani approaches and neuro-fuzzy (NF) fault diagnosis within an application study of an manufacturing systems. The key issues of finding a suitable structure for detecting and isolating ten realistic actuator faults are described. Within this framework, data-processing interactive software of simulation baptized NEFDIAG (NEuro Fuzzy DIAGnosis) version 1.0 is developed. This software devoted primarily to creation, training and test of a classification Neuro-Fuzzy system of industrial process failures. NEFDIAG can be represented like a special type of fuzzy perceptron, with three layers used to classify patterns and failures. The system selected is the workshop of SCIMAT clinker , cement factory of Ain Touta " Batna, Algeria  ". },
	url = {http://www.msc-les.org/proceedings/emss/2011/EMSS2011_11.pdf},
	author = {Mahdaoui Rafik and Mouss Leila Hayet and Mouss Med Djamel and Chouhal Ouahiba}
}
@article {3372,
	title = {Efficient Algorithms for the integration of Arabic Language in Mobile Phone ISSN 1793-8163},
	journal = {International Journal of Computer and Electrical Engineering (IJCEE)},
	volume = {Vol.3},
	number = {N{\textdegree}3},
	year = {2011},
	pages = {pp. 379-383},
	abstract = {This work appears in man-machine interface. Our goal is to study the integration of Arabic language in Mobile Phone, in order to achieve a man-machine interface Arabic. The correct display of Arabic character is essential in a MMI. Since Arabic characters change their forms according to their position in a word, then it is necessary to make a contextual analysis on every word, to find the correct form of each character. The transformation of two or more characters in one form, demand special treatment, as in the case of Arabic ligature LAM-ALEF. The Arabic language has a different direction of writing in relation to other languages embedded in mobile phone, which requires finding an algorithm that provides a bidirectional display of SMS messages. These messages may contain characters from different direction, from right to left, left to right or characters that have no direction. It allows you to make the message understandable.},
	url = {https://www.researchgate.net/publication/271303986_Efficient_Algorithms_for_the_integration_of_Arabic_Language_in_Mobile_Phone},
	author = {Adel Abdelhadi and Mouss Leila Hayet and Ouahab Kadri}
}
@article {3371,
	title = {An Overview of Artificial Immune System Algorithms for Industrial Monitoring ISSN 1974-6059 Cd-Rom ISSN: 1974-6067},
	journal = {IRECOS International Review on Computers and Software},
	volume = {Volume 6},
	number = {Number 2},
	year = {2011},
	pages = {pp 269-274},
	abstract = {We describe in this paper an overview of artificial immune system algorithms to solve the classification problem in industrial monitoring. We present artificial immune system algorithms, starting with the negative selection that happens to be a rich source of inspiration. We also, detail the clonal selection algorithm, which is based on the clonal selection theory. Finally, we detail other algorithms based of agent including the immune system and dendritic cell algorithm. In the end, we summarize the differences and similarities of the works discussed and we conclude on the prospects related to the approach of the algorithms of artificial immune systems for industrial monitoring to solve the classification problem. Copyright {\textcopyright} 2011 Praise Worthy Prize S.r.l. - All rights reserved},
	url = {https://www.researchgate.net/profile/Majid_Haghparast2/publication/216151550_A_New_Nanometric_Reversible_Full_Subtractor_Gate/links/59f67265458515547c231160/A-New-Nanometric-Reversible-Full-Subtractor-Gate.pdf$\#$page=122},
	author = {A. Abdelhadi and Mouss Leila Hayet}
}
@article {3370,
	title = {Efficient Tool for the Recognition of the Leaves of Plants ISSN 1694-0814},
	journal = {IJCSI International Journal of Computer Science Issues},
	volume = {Vol. 8},
	number = {Issue 2},
	year = {2011},
	pages = {pp 309-314},
	url = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.402.9531\&rep=rep1\&type=pdf$\#$page=331},
	author = {Abdelhadi Adel and Mouss Leila-Hayet}
}
@article {3369,
	title = {La s{\'e}lection de param{\`e}tres d\&rsquo;un syst{\`e}me industriel par les colonies de fourmis ISSN: 1583-7165 (printed journal) ISSN: 2065-7471 (e-journal)},
	journal = {Annals Computer Science Series},
	volume = {Tome 9 },
	number = {Fasc. 1},
	year = {2011},
	pages = {pp 155- 168},
	abstract = {Dans cet article, nous pr{\'e}sentons un nouvelalgorithme pour r{\'e}duire la dimension de vecteur d{\textquoteright}{\'e}tat defonctionnement d{\textquoteright}un syst{\`e}me industriel. Notre algorithmepermet de s{\'e}lectionner un sous-ensemble de param{\`e}tres quioffre une d{\'e}tection plus rapide de dysfonctionnement et unebonne qualit{\'e} de classification. Cet algorithme est bas{\'e} sur lecomportement observ{\'e} chez les fourmis r{\'e}elles. Nous montronsici que l{\textquoteright}{\'e}mergence des d{\'e}placements et les interactions desfourmis permet de trouver un ensemble r{\'e}duit de param{\`e}tresqui caract{\'e}risent le fonctionnement d{\textquoteright}un syst{\`e}me industrieldynamique et complexe. L{\textquoteright}algorithme offre aussi la possibilit{\'e}d{\textquoteright}utiliser des bases de donn{\'e}es de grandes tailles. Lesexp{\'e}riences effectu{\'e}es sur les bases de donn{\'e}es Iris et Vehiclemontrent que notre algorithme fournit de tr{\`e}s bons r{\'e}sultats.MOTS-CLES: Colonie de fourmis, Classification, Diagnosticindustriel, S{\'e}lection de param{\`e}tres, Syst{\`e}me complexe et dynamique.},
	url = {https://www.researchgate.net/publication/278329066_La_selection_de_parametres_d{\textquoteright}un_systeme_industriel_par_les_colonies_de_fourmis_Ouahab_Kadri_L_Hayet_Mouss_M_Djamel_M},
	author = {Ouahab Kadri and Leila Hayet Mouss and Mohamed Djamel Mouss}
}
@article {3368,
	title = {A Temporal Neuro-Fuzzy Monitoring System to Manufacturing Systems ISSN (Online): 1694-0814},
	journal = {IJCSI International Journal of Computer Science Issues},
	volume = {Vol. 8},
	number = {Issue 3  No1},
	year = {2011},
	pages = {pp 237-246},
	abstract = {Fault diagnosis and failure prognosis are essential techniques in improving the safety of many manufacturing systems. Therefore, on-line fault detection and isolation is one of the most important tasks in safety-critical and intelligent control systems. Computational intelligence techniques are being investigated as extension of the traditional fault diagnosis methods. This paper discusses the Temporal Neuro-Fuzzy Systems (TNFS) fault diagnosis within an application study of a manufacturing system. The key issues of finding a suitable structure for detecting and isolating ten realistic actuator faults are described. Within this framework, data-processing interactive software of simulation baptized NEFDIAG (NEuro Fuzzy DIAGnosis) version 1.0 is developed. This software devoted primarily to creation, training and test of a classification Neuro-Fuzzy system of industrial process failures. NEFDIAG can be represented like a special type of fuzzy perceptron, with three layers used to classify patterns and failures. The system selected is the workshop of SCIMAT clinker, cement factory in Algeria},
	url = {https://www.researchgate.net/publication/51917361_A_Temporal_Neuro-Fuzzy_Monitoring_System_to_Manufacturing_Systems},
	author = {Rafik Mahdaoui and Leila Hayet Mouss and Mohamed Djamel Mouss and Ouahiba Chouhal}
}
@article {3367,
	title = {Multi agent system using web services for diagnosing Manufacturing Systems ISSN 1970 \&ndash; 8734},
	journal = {International Review of Mechanical engineering (I.RE.M.E)},
	volume = {Vol. 05},
	number = {N. 3},
	year = {2011},
	pages = {pp 1156-1160},
	author = {O. Chouhal and H.L. Mouss and R. Mahdaoui}
}
@article {3365,
	title = {Fuzzy Pattern Regognotion Based Fault Diagonis, ISSN 1974-9821},
	journal = { International Review on Modelling and Simulations (IREMOS)},
	volume = {Volume 4},
	number = {N{\textdegree}6},
	year = {2011},
	pages = {pp 3361-3370},
	abstract = {In order to avoid catastrophic situations when the dynamics of a physical system (entity in Multi Agent System architecture) are evolving toward an undesirable operating mode, particular and quick safety actions have to be programmed in the control design. Classic control (PID and even state model based methods) becomes powerless for complex plants (nonlinear, MIMO and ill-defined systems). A more efficient diagnosis requires an artificial intelligence approach. We propose in this paper the design of a Fuzzy Pattern Recognition System (FPRS) that solves, in real time, the main following problems: 1) Identification of an actual state; 2) Identification of an eventual evolution towards a failure state; 3) Diagnosis and decision-making. Simulations have been carried for a fictive complex process plant with the objective to evaluate the consistency and the performance of the proposed diagnosis philosophy. The obtained results seem to be encouraging and very promising for application to fault diagnosis of a real and complex plant process. Copyright {\textcopyright} 2011 Praise Worthy Prize S.r.l. -All rights reserved},
	url = {https://pdfs.semanticscholar.org/614c/703df0df4d13c340811424cb51d5b7b2e941.pdf},
	author = {Rafik Bensaadi and Le{\"\i}la-Hayet Mouss and Mohamed Djamel Mouss and Mohamed Benbouzid}
}
@article {3364,
	title = {Prise en consid{\'e}ration des perturbations pour l\&$\#$39;analyse et la conception d\&$\#$39;un syst{\`e}me de production},
	journal = {Journal of Engineering Science and Technologie},
	year = {2011},
	author = {Aitouche Samia and Mouss kinza Nadia and Kaanit Andelghafor}
}
@article {3149,
	title = { A Temporal Neuro-Fuzzy Monitoring System to Manufacturing Systems, May  ISSN 1694-0814},
	journal = {IJCSI International Journal of Computer Science Issue},
	volume = {Vol. 8},
	number = {Issue 3 N{\textdegree}1},
	year = {2011},
	abstract = {Fault diagnosis and failure prognosis are essential techniques in improving the safety of many manufacturing systems. Therefore, on-line fault detection and isolation is one of the most important tasks in safety-critical and intelligent control systems. Computational intelligence techniques are being investigated as extension of the traditional fault diagnosis methods. This paper discusses the Temporal Neuro-Fuzzy Systems (TNFS) fault diagnosis within an application study of a manufacturing system. The key issues of finding a suitable structure for detecting and isolating ten realistic actuator faults are described. Within this framework, data-processing interactive software of simulation baptized NEFDIAG (NEuro Fuzzy DIAGnosis) version 1.0 is developed.  This software devoted primarily to creation, training and test of a classification Neuro-Fuzzy system of industrial process failures. NEFDIAG can be represented like a special type of fuzzy perceptron, with three layers used to classify patterns and failures. The system selected is the workshop of SCIMAT clinker, cement factory in Algeria},
	url = {https://arxiv.org/ftp/arxiv/papers/1107/1107.3302.pdf},
	author = {Mahdaoui Rafik and Mouss Leila Hayet and Mouss Med Djamel}
}
@article {3080,
	title = {Fuzzy Pattern Recognotion Based Fault Diagonis. , December, ISSN: 1974-9821, ISSN/ISBN 1945-3116/1974-983X},
	journal = {IREMOS International Review on Modelling and Simulations. },
	volume = {Vol.4 },
	number = {N{\textdegree}6},
	year = {2011},
	pages = { pp 3361-3370 },
	abstract = {In order to avoid catastrophic situations when the dynamics of a physical system (entity in Multi Agent System architecture) are evolving toward an undesirable operating mode, particular and quick safety actions have to be programmed in the control design. Classic control (PID and even state model based methods) becomes powerless for complex plants (nonlinear, MIMO and ill-defined systems). A more efficient diagnosis requires an artificial intelligence approach. We propose in this paper the design of a Fuzzy Pattern Recognition System (FPRS) that solves, in real time, the main following problems: 1) Identification of an actual state; 2) Identification of an eventual evolution towards a failure state; 3) Diagnosis and decision-making. Simulations have been carried for a fictive complex process plant with the objective to evaluate the consistency and the performance of the proposed diagnosis philosophy. The obtained results seem to be encouraging and very promising for application to fault diagnosis of a real and complex plant process. Copyright {\textcopyright} 2011 Praise Worthy Prize S.r.l. -All rights reserved.},
	url = {https://hal.archives-ouvertes.fr/hal-00706004/document},
	author = {Bensaadi Rafik and Mouss Med Djamel and Mouss Leila Hayet}
}
@article {3079,
	title = {La s{\'e}lection de param{\`e}tres d\&rsquo;un syst{\`e}me industriel par les colonies de fourmis., Tome 9 Fasc. 1. May ISSN/ISBN 1583-7165/ 2065-7471},
	journal = {Annals Computer Science Series},
	volume = {Vol. IX },
	year = {2011},
	pages = { pp 155- 168},
	abstract = {Dans cet article, nous pr{\'e}sentons un nouvel algorithme pour r{\'e}duire la dimension de vecteur d{\textquoteright}{\'e}tat de fonctionnement d{\textquoteright}un syst{\`e}me industriel. Notre algorithme permet de s{\'e}lectionner un sous-ensemble de param{\`e}tres qui offre une d{\'e}tection plus rapide de dysfonctionnement et une bonne qualit{\'e} de classification. Cet algorithme est bas{\'e} sur le comportement observ{\'e} chez les fourmis r{\'e}elles. Nous montrons ici que l{\textquoteright}{\'e}mergence des d{\'e}placements et les interactions des fourmis permet de trouver un ensemble r{\'e}duit de param{\`e}tres qui caract{\'e}risent le fonctionnement d{\textquoteright}un syst{\`e}me industriel dynamique et complexe. L{\textquoteright}algorithme offre aussi la possibilit{\'e} d{\textquoteright}utiliser des bases de donn{\'e}es de grandes tailles. Les exp{\'e}riences effectu{\'e}es sur les bases de donn{\'e}es Iris et Vehicle montrent que notre algorithme fournit de tr{\`e}s bons r{\'e}sultats.},
	url = {http://www.anale-informatica.tibiscus.ro/download/lucrari/9-1-14-Kadri.pdf },
	author = {Kadri Ouahab and Mouss Leila Hayet and Mouss Med Djamel}
}
@article {3077,
	title = {Temporal Neuro-Fuzzy systems in fault diagnosis and prognosis, February ISSN/ISBN 1974-9821/1974-983X},
	journal = {IREMOS International Review on Modelling and Simulations. },
	volume = {vol.4},
	number = { N{\textdegree}1},
	year = {2011},
	abstract = {Fault diagnosis and failure prognosis are essential techniques in improving the safety of many manufacturing systems. Therefore, on-line fault detection and isolation is one of the most important tasks in safety-critical and intelligent control systems. Computational intelligence techniques are being investigated as extension of the traditional fault diagnosis methods. This paper discusses the properties of the TSK/Mamdani approaches and neuro-fuzzy (NF) fault diagnosis within an application study of an manufacturing systems. The key issues of finding a suitable structure for detecting and isolating ten realistic actuator faults are described. Within this framework, data-processing interactive software of simulation baptized NEFDIAG (NEuro Fuzzy DIAGnosis) version 1.0 is developed. This software devoted primarily to creation, training and test of a classification Neuro-Fuzzy system of industrial process failures. NEFDIAG can be represented like a special type of fuzzy perceptron, with three layers used to classify patterns and failures. The system selected is the workshop of SCIMAT clinker , cement factory of Ain Touta " Batna, Algeria ".   },
	url = {http://www.msc-les.org/proceedings/emss/2011/EMSS2011_11.pdf},
	author = {Mahdaoui Rafik and Mouss Med Djamel and Chouhal Ouahiba}
}
@article {3014,
	title = {An Overview of Artificial Immune System Algorithms for Industrial Monitoring, March, ISSN/ISBN 1828-6003/1828-6011},
	journal = {IRECOS International Review on Computers and Software},
	volume = {Volume 6 },
	number = {N{\textdegree} 2 },
	year = {2011},
	pages = {pp: 268-273},
	abstract = {We describe in this paper an overview of artificial immune system algorithms to solve the classification problem in industrial monitoring. We present artificial immune system algorithms, starting with the negative selection that happens to be a rich source of inspiration. We also, detail the clonal selection algorithm, which is based on the clonal selection theory. Finally, we detail other algorithms based of agent including the immune system and dendritic cell algorithm. In the end, we summarize the differences and similarities of the works discussed and we conclude on the prospects related to the approach of the algorithms of artificial immune systems for industrial monitoring to solve the classification problem},
	url = {https://ieeexplore.ieee.org/document/6481888},
	author = {Abdelhadi Adel and Mouss Leila Hayet}
}
@article {3006,
	title = {Fuzzy Pattern Recognition Based Fault Diagnosis, ISSN/ISBN 1974-9821/1974-983X},
	journal = {IREMOS International Review on Modelling and Simulations},
	volume = {4},
	number = {6},
	year = {2011},
	pages = { pp.3361-3370},
	abstract = {In order to avoid catastrophic situations when the dynamics of a physical system (entity in Multi Agent System architecture) are evolving toward an undesirable operating mode, particular and quick safety actions have to be programmed in the control design. Classic control (PID and even state model based methods) becomes powerless for complex plants (nonlinear, MIMO and ill-defined systems). A more efficient diagnosis requires an artificial intelligence approach. We propose in this paper the design of a Fuzzy Pattern Recognition System (FPRS) that solves, in real time, the main following problems: 1) Identification of an actual state; 2) Identification of an eventual evolution towards a failure state; 3) Diagnosis and decision-making. Simulations have been carried for a fictive complex process plant with the objective to evaluate the consistency and the performance of the proposed diagnosis philosophy. The obtained results seem to be encouraging and very promising for application to fault diagnosis of a real and complex plant process. Copyright {\textcopyright} 2011 Praise Worthy Prize S.r.l. - All rights reserved.},
	url = {https://hal.archives-ouvertes.fr/hal-00706004/document},
	author = {Bensaadi Rafik and Mouss Leila Hayet and Benbouzid Med EL}
}
@article {3005,
	title = {Efficient Algorithms for the integration of Arabic Language in Mobile Phone, ISSN 1793-8163},
	journal = {IJCEE International Journal of Computer and Electrical Engineering},
	volume = {3},
	number = {3},
	year = {2011},
	pages = {pp 379-383},
	abstract = {This work appears in man-machine interface. Our goal is to study the integration of Arabic language in Mobile Phone, in order to achieve a man-machine interface Arabic. The correct display of Arabic character is essential in a MMI. Since Arabic characters change their forms according to their position in a word, then it is necessary to make a contextual analysis on every word, to find the correct form of each character. The transformation of two or more characters in one form, demand special treatment, as in the case of Arabic ligature LAM-ALEF. The Arabic language has a different direction of writing in relation to other languages embedded in mobile phone, which requires finding an algorithm that provides a bidirectional display of SMS messages. These messages may contain characters from different direction, from right to left, left to right or characters that have no direction. It allows you to make the message understandable.},
	url = {http://www.ijcee.org/papers/345-E934.pdf},
	author = {Abdelhadi Adel and Mouss Leila Hayet and Mahdaoui Rafik}
}
@article {3004,
	title = {La s{\'e}lection de param{\`e}tres d\&rsquo;un syst{\`e}me industriel par les colonies de fourmis, Fasc 1, May, ISSN/ISBN 1583-7165/2065-7471},
	journal = {Annals Computer Science Series},
	volume = {9},
	year = {2011},
	pages = {pp 155- 168},
	abstract = {Dans cet article, nous pr{\'e}sentons un nouvel algorithme pour r{\'e}duire la dimension de vecteur d{\textquoteright}{\'e}tat de fonctionnement d{\textquoteright}un syst{\`e}me industriel. Notre algorithme permet de s{\'e}lectionner un sous-ensemble de param{\`e}tres qui offre une d{\'e}tection plus rapide de dysfonctionnement et une bonne qualit{\'e} de classification. Cet algorithme est bas{\'e} sur le comportement observ{\'e} chez les fourmis r{\'e}elles. Nous montrons ici que l{\textquoteright}{\'e}mergence des d{\'e}placements et les interactions des fourmis permet de trouver un ensemble r{\'e}duit de param{\`e}tres qui caract{\'e}risent le fonctionnement d{\textquoteright}un syst{\`e}me industriel dynamique et complexe. L{\textquoteright}algorithme offre aussi la possibilit{\'e} d{\textquoteright}utiliser des bases de donn{\'e}es de grandes tailles. Les exp{\'e}riences effectu{\'e}es sur les bases de donn{\'e}es Iris et Vehicle montrent que notre algorithme fournit de tr{\`e}s bons r{\'e}sultats. MOTS-CLES: Colonie de fourmis, Classification, Diagnostic industriel, S{\'e}lection de param{\`e}tres, Syst{\`e}me complexe et dynamique.},
	url = {http://anale-informatica.tibiscus.ro/download/lucrari/9-1-14-Kadri.pdf},
	author = {Kadri Ouahab and Mouss Leila Hayet and Mouss Med Djamel}
}
@article {3002,
	title = {Temporal Neuro-Fuzzy systems in fault diagnosis and prognosis, February, ISSN/ISBN 1974-9821/1974-983X},
	journal = {IREMOS International Review on Modelling and Simulations.},
	volume = {4},
	number = {1},
	year = {2011},
	abstract = {Fault diagnosis and failure prognosis are essential techniques in improving the safety of many manufacturing systems. Therefore, on-line fault detection and isolation is one of the most important tasks in safety-critical and intelligent control systems. Computational intelligence techniques are being investigated as extension of the traditional fault diagnosis methods. This paper discusses the properties of the TSK/Mamdani approaches and neuro-fuzzy (NF) fault diagnosis within an application study of a manufacturing system. The key issues of finding a suitable structure for detecting and isolating ten realistic actuator faults are described. Within this framework, data-processing interactive software of simulation baptized NEFDIAG (NEuro Fuzzy DIAGnosis) version 1.0 is developed. This software devoted primarily to creation, training and test of a classification Neuro-Fuzzy system of industrial process failures. NEFDIAG can be represented like a special type of fuzzy perceptron, with three layers used to classify patterns and failures. The system selected is the workshop of SCIMAT clinker, cement factory in Algeria.},
	url = {http://www.msc-les.org/proceedings/emss/2011/EMSS2011_11.pdf},
	author = {Mahdaoui Rafik and Mouss Leila Hayet and Chouhal Ouahiba}
}
@article {1731,
	title = {Fault diagnosis of rotary kiln using SVM and binary ACO, February 2012, ISSN/ISBN: 1738-494X/1976-3824.},
	journal = {Journal of Mechanical Science and Technology},
	volume = {26},
	number = {2},
	year = {2011},
	pages = {601{\textendash}608},
	abstract = {This paper proposes a novel hybrid algorithm for fault diagnosis of rotary kiln based on a binary ant colony (BACO) and support vector machine (SVM). The algorithm can find a subset selection which is attained through the elimination of the features that produce noise or are strictly correlated with other already selected features. The BACO algorithm can improve classification accuracy with an appropriate feature subset and optimal parameters of SVM. The proposed algorithm is easily implemented and because of use of a simple filter in that, its computational complexity is very low. The performance of the proposed algorithm is evaluated through two real Rotary Cement kiln datasets. The results show that our algorithm outperforms existing algorithms.},
	url = {https://doi.org/10.1007/s12206-011-1216-z},
	author = {Kadri Ouahab and Mouss Leila Hayet and Mouss Med Djamel}
}
@proceedings {4592,
	title = {Adaptive Fuzzy Sliding Mode Control for MIMO Nonlinear Systems Subject to Actuator Faults and External Disturbances},
	journal = {MED{\textquoteright}10. 18th Mediterranean Conference on Control and Automation IEEE, Marrakech, Morocco},
	year = {2010},
	author = {Benbrahim Meriem and Essounbouli  Nadjib and Hamzaoui Abdelaziz and Betta Ammar}
}
@article {3366,
	title = {A Hybrid Feature Subset Selection Approach based on SVM and Binary ACO},
	journal = {Application to industrial diagnosis International Journal of Aerospace and Mechanical Engineering },
	volume = {Volume 4 },
	number = {Number 1},
	year = {2010},
	pages = {pp. 241-247},
	abstract = {This paper proposes a novel hybrid algorithm for feature selection based on a binary ant colony and SVM. The final subset selection is attained through the elimination of the features that produce noise or, are strictly correlated with other already selected features. Our algorithm can improve classification accuracy with a small and appropriate feature subset. Proposed algorithm is easily implemented and because of use of a simple filter in that, its computational complexity is very low. The performance of the proposed algorithm is evaluated through a real Rotary Cement kiln dataset. The results show that our algorithm outperforms existing algorithms.},
	url = {https://www.researchgate.net/publication/278328909_A_Hybrid_Feature_Subset_Selection_Approach_based_on_SVM_and_Binary_ACO_Application_to_Industrial_Diagnosis},
	author = {Ouhab Kadri}
}
@mastersthesis {6064,
	title = {Contribution {\`a} l\&rsquo;Optimisation des Syst{\`e}mes de Conversion d\&rsquo;Energie. Application aux Syst{\`e}mes Photovolyaique},
	year = {2008},
	author = {Bellala Djamel}
}
@mastersthesis {5840,
	title = {Mod{\`e}le non lin{\'e}aire de l\&$\#$39;interaction tiges de forage-puits},
	year = {2008},
	author = {Melakhsou Hayet}
}
@mastersthesis {5839,
	title = {Diagnostic et conduite des syst{\`e}mes de production par approche {\`a} base de connaissances  },
	year = {2008},
	author = {Mouss Med Djamel}
}
@mastersthesis {5834,
	title = {Diagnostic et Conduite des Syst{\`e}mes de Production par Approche {\`a} base de Connaissances},
	year = {2006},
	author = {Mouss Med-Djamel}
}
@mastersthesis {5829,
	title = {Diagnostic des associations convertisseurs Statiques Machines Asynchrones en utilisant les techniques de l\&rsquo;intelligence Artificielle},
	year = {2006},
	author = {Nezzar Malika}
}
@mastersthesis {5828,
	title = {P{\'e}rennisation et impl{\'e}mentation de la maintenance Productive Totale},
	year = {2005},
	author = {Smadi Hacene}
}
