@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}
}
