@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}
}
