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size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Boukricha Imen</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Amélioration continue d&amp;#39;une entreprise industrielle par l&amp;#39;optimisation des processus lean six sigma</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bekari Salim</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Cadencement et analyse d&amp;#39;une politique de 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version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Rezzoug Lilia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Optimisation de l&amp;rsquo;Ordonnancement des activités de Maintenance basée sur la fiabilité d&amp;rsquo;un Système de Production</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Boulila Rima</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">La maîtrise de la qualité par l&amp;rsquo;amélioration continue des activités médicales dans le centre 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Dubai, UAE January 29-31</style></title><secondary-title><style face="normal" font="default" size="100%">(ICKM),  2012, International Conference on Knowledge Management</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.waset.org/conferences/2012/dubai/ickm</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bellala Djamel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Installation of distributed maintenance case: Cement factories of east (SMCE), ISBN: 978-3-03785-277-4</style></title><secondary-title><style face="normal" font="default" size="100%">MSE Manufacturing Systems Engineering</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mahdaoui Rafik</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Fault prognosis by temporal Neuro-Fuzzy systems: Application for manufacturing systems</style></title><secondary-title><style face="normal" font="default" size="100%"> (SETIT 2012) Sciences of Electronics, Technologies of Information and Telecommunications  </style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.setit.rnu.tn/</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zermane Hanane</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Automatisation d&amp;rsquo;un système de contrôle flou avec PCS 7 et FuzzyControl++ (Application au sein de la cimenterie d&amp;rsquo;Ain Touta), Université de Khenchela, Algérie. 20-22 Novembre</style></title><secondary-title><style face="normal" font="default" size="100%">ICEECA’2012, International Conference on Electrical Engineering and Control Applications</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Aitoche Samia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Comparative study, based on metamodels, of methods for controlling performance</style></title><secondary-title><style face="normal" font="default" size="100%">ICIEM’12, International Conference on Industrial Engineering and Manufacturing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.univ-batna,.dz/iciem2012/index.html</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bellal Salah Eddine</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Un processus pour la reconnaissance d&amp;rsquo;objets dans une image pour une application de tri</style></title><secondary-title><style face="normal" font="default" size="100%">ICIEM’12, International Conference on Industrial Engineering and Manufacturing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.univ-batna,.dz/iciem2012/index.html</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bencherif Fateh</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Une méthode pour l&amp;rsquo;optimisation du processus de développement de produit basée sur la matrice de structure de conception</style></title><secondary-title><style face="normal" font="default" size="100%">ICIEM’12, International Conference on Industrial Engineering and Manufacturing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.univ-batna,.dz/iciem2012/index.html</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Belfarhi Nedjoua</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Conception d&amp;rsquo;un outil d&amp;rsquo;aide au diagnostic des défaillances dans un système de production</style></title><secondary-title><style face="normal" font="default" size="100%">ICIEM’12, International Conference on Industrial Engineering and Manufacturing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.univ-batna,.dz/iciem2012/index.html</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Derdour Khadidja</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Reconnaissance des chiffres imprimés par les réseaux de neurones. 06 to 07 May, Batna&amp;ndash;Algeria</style></title><secondary-title><style face="normal" font="default" size="100%"> ICIEM’12, International Conference on Industrial Engineering and Manufacturing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.univ-batna,.dz/iciem2012/index.html</style></url></web-urls></urls><pages><style face="normal" font="default" size="100%">pp. 589-595</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Benaicha Sonia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Développement d&amp;rsquo;un Système à Base de connaissances Neuro-Flou pour le pronostic Industriel d&amp;rsquo;un Atelier de Clinkérisation 06 to 07 May Batna&amp;ndash;Algeria</style></title><secondary-title><style face="normal" font="default" size="100%">ICIEM’12, International Conference on Industrial Engineering and Manufacturing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.univ-batna,.dz/iciem2012/index.html</style></url></web-urls></urls><pages><style face="normal" font="default" size="100%">pp. 577-585</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zermane Hanane</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Conception d&amp;rsquo;un Système Expert Flou pour Diagnostic et Maintenance à l&amp;rsquo;aide de PCS 7 et FuzzyControl++.. 06 to 07 May Batna&amp;ndash;Algeria</style></title><secondary-title><style face="normal" font="default" size="100%">ICIEM’12, International Conference on Industrial Engineering and Manufacturing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.univ-batna,.dz/iciem2012/index.html</style></url></web-urls></urls><pages><style face="normal" font="default" size="100%">pp. 250-257</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bentrcia Toufik</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Neural Modelling Approach for the Diagnosis of Elementary Failure Modes in Industrial Plants 06 to 07 May,   Batna&amp;ndash;Algeria </style></title><secondary-title><style face="normal" font="default" size="100%">ICIEM’12, International Conference on Industrial Engineering and Manufacturing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.univ-batna,.dz/iciem2012/index.html</style></url></web-urls></urls><pages><style face="normal" font="default" size="100%">pp. 169-174</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Kadri Ouahab</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Reconnaissance des Formes par SVM pour le Diagnostic du Système de Pasteurisation d&amp;rsquo;une Usine de Lait.06 to 07 May, Batna&amp;ndash;Algeria,</style></title><secondary-title><style face="normal" font="default" size="100%"> ICIEM’12, International Conference on Industrial Engineering and Manufacturing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.univ-batna,.dz/iciem2012/index.html</style></url></web-urls></urls><pages><style face="normal" font="default" size="100%">pp. 161-168</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Rezgui Wail</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">La classification des observations pour le diagnostic industriel d&amp;rsquo;un four rotatif.. 06 to 07 May, Batna&amp;ndash;Algeria,</style></title><secondary-title><style face="normal" font="default" size="100%"> ICIEM’12, International Conference on Industrial Engineering and Manufacturing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.univ-batna,.dz/iciem2012/index.html</style></url></web-urls></urls><pages><style face="normal" font="default" size="100%">pp. 148-154</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mahdaoui Rafik</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Les systèmes Multi agents argumentatifs pour la e- maintenance. 06 to 07 May,  Batna&amp;ndash;Algeria</style></title><secondary-title><style face="normal" font="default" size="100%"> ICIEM’12, International Conference on Industrial Engineering and Manufacturing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.univ-batna,.dz/iciem2012/index.html</style></url></web-urls></urls><pages><style face="normal" font="default" size="100%">pp. 11-15</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zermane Hanane</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Development of a Fuzzy Expert system based on PCS7 and FuzzyControl++ Cement Mill control, ISBN: 978-0-9853483-0-4</style></title><secondary-title><style face="normal" font="default" size="100%">(ICIA 2012),  The International Conference on Informatics &amp; Applications</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><pages><style face="normal" font="default" size="100%">pp 71-76</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Benaicha Sonia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">NFPROG, un outil d&amp;rsquo;aide au Pronostic Industriel basé sur les systèmes Neuro-Flous d&amp;rsquo;un Système de Production</style></title><secondary-title><style face="normal" font="default" size="100%"> (ICIST 2012),  International Conference on Information Systems and Technologies</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zermane Hanane</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%"> Développement d&amp;rsquo;un Système Expert flou basé sur PCS 7 et FuzzyControl++ (Conduite d&amp;rsquo;un Broyeur Ciment), ISBN 978-9938-9511-2-7</style></title><secondary-title><style face="normal" font="default" size="100%"> (ICIST 2012),  International Conference on Information Systems and Technologies</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zermane Hanane</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">PCS 7 et FuzzyControl++ pour la conduite d&amp;rsquo;un broyeur ciment</style></title><secondary-title><style face="normal" font="default" size="100%"> ICCRK’2012, International Conference on Computer Related Knowledge</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.iccrk.org/</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mahdaoui Rafik</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Fault prognosis by temporal Neuro-Fuzzy systems: Application for manufacturing systems</style></title><secondary-title><style face="normal" font="default" size="100%">(SETIT 2012) Sciences of Electronics, Technologies of Information and Telecommunications</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">	 http://www.setit.rnu.tn/</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Abdelhadi Adel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The use of artificial immune system algorithms in monitoring industrial,</style></title><secondary-title><style face="normal" font="default" size="100%">(SETIT 2012) Sciences of Electronics, Technologies of Information and Telecommunications</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.setit.rnu.tn/</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mouss Leila-Hayet</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Genetic Algorithm Based Approaches for the Modified Weibull Renewal Approximation</style></title><secondary-title><style face="normal" font="default" size="100%">(INCOM’12),  14th IFAC Symposium on Information Control Problems in Manufacturing   </style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">DOI: 10.3182/20120523-3-RO-2023.00143</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Rafik Mahdaoui</style></author><author><style face="normal" font="default" size="100%">Leila Hayet Mouss</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A TSK-Type Recurrent Neuro-Fuzzy Systems for Fault Prognosis JSEA, ISSN Print: 1945-3116</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Software Engineering and Applications</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.researchgate.net/publication/265800845_A_TSK-Type_Recurrent_Neuro-Fuzzy_Systems_for_Fault_Prognosis</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Vol 5</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">As a result from the demanding of process safety, reliability and environmental constraints, a called of fault detection and diagnosis system become more and more important. In this article some basic aspects of TSK (Takigi Sugeno Kang) neuro-fuzzy techniques for the prognosis and diagnosis of manufacturing systems are presented. In particular, a neuro-fuzzy model that can be used for the identification and the simulation of faults prognosis models is described. The presented model is motivated by a cooperative neuro-fuzzy approach based on a vectorized recurrent neural net-work architecture. The neuro-fuzzy architecture maps the residuals into two classes: a one of fixed direction residuals and another one of faults belonging to rotary kiln</style></abstract><issue><style face="normal" font="default" size="100%">N°7</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hacene Smadi</style></author><author><style face="normal" font="default" size="100%">Djamel Bellala</style></author><author><style face="normal" font="default" size="100%">Younes Maache</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Installation of Distributed Maintenance Case: Cement Factories of East (SMCE)</style></title><secondary-title><style face="normal" font="default" size="100%">Advanced Materials Research</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.researchgate.net/publication/282498381_Installation_of_Distributed_Maintenance_Case_Cement_Factories_of_East_SMCE</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Vol 429</style></volume><pages><style face="normal" font="default" size="100%">PP. 50-55</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In this work, we intend to determine a scheduling rule of maintenance work, which permits the optimization of the random tasks operation (corrective maintenance) while maintaining the works (preventive maintenance) yet scheduled within their temporal intervals. The principle of our approach consists of processing the problem in two stages: Resolution of the static problem for the projected scheduling of the tasks known a priori Resolution of the dynamic problem for random tasks scheduling This work has found a field of application within the maintenance company of the east cements factories, (SMCE) which is in charge of the five (05) east cements companies' maintenance.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ouahab Kadri</style></author><author><style face="normal" font="default" size="100%">Leila Hayet Mouss</style></author><author><style face="normal" font="default" size="100%">Mohamed Djamel Mouss</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Fault diagnosis of rotary kiln using SVM and Binary ACO ISSN 1976-3824</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Mechanical Science and Technology Springer Berlin Heidelberg</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://link.springer.com/article/10.1007/s12206-011-1216-z</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Vol. 26</style></volume><pages><style face="normal" font="default" size="100%">pp. 601-608</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">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</style></abstract><issue><style face="normal" font="default" size="100%">N°2</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hanane Zermane</style></author><author><style face="normal" font="default" size="100%">Leila Hayet Mouss</style></author><author><style face="normal" font="default" size="100%">Sonia Benaicha</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Iran University of Science and Technology, Tehran, Iran</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Development of a fuzzy expert system based on PCS 7 and FuzzyControl++,  JES, ISSN: 2278&amp;ndash;6538</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Electronic Systems</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.researchgate.net/publication/230773223_DEVELOPMENT_OF_A_FUZZY_EXPERT_SYSTEM_BASED_ON_PCS7_AND_FUZZYCONTROL_CEMENT_MILL_CONTROL</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Vol. 1</style></volume><pages><style face="normal" font="default" size="100%">pp: 18-32</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The basic idea of this work was to study the application of expert systems and fuzzy logic in the field of diagnostic and industrial maintenance. For this, a fuzzy expert system designed, developed and simulated in Ain Touta cement society in Batna in the East of Algeria. Dedicated to control cement mill. The application of fuzzy logic and expert systems to control the difference shown in the control system using fuzzy regulators for the operation of the grinding without unnecessary stops, it also helps the operator to know the maintenance task to perform. In addition, regulators decentralization allows the availability of fuzzy control, even if one of the regulators is absent, it does not prevent the other to complete its task to control fineness, mill�s temperature and feed.</style></abstract><issue><style face="normal" font="default" size="100%"> N°1</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bellal Salah Eddine</style></author><author><style face="normal" font="default" size="100%">Mouss Leila Hayet</style></author><author><style face="normal" font="default" size="100%">Bensaadi Rafik</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Recognition of objects in an image for triage ISSN 2249-9555 (Online), 22501355 (Print)</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Computer Science, Information Technology &amp; Security (IJCSITS)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://ieeexplore.ieee.org/document/6689571</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Vol.2</style></volume><pages><style face="normal" font="default" size="100%">pp. 1170-1176</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In this paper, our aim is to present existing methods and techniques related to the artificial vision which is an active subject of research. In this work, we elaborate a recognition system of objects in an image for a sorting application. The corner stone of our work is based on the recognition and sorting of objects (geometrical shapes) in an image in artificial vision. The application of these images is achieved using a fixed camera having a regular and permanent field of vision with a consequent angle on a conveyer which holds the objects to be observed. The Objects' recognition process requires knowledge of our camera characteristics. In order to calibrate this camera, we propose to use a simple Web camera configured to get a photo of the conveyer's centre. The objective is to seek for objects in the images, which are considered as unitary and not sequences of images. In this case, the development of automatic methods is required to ensure the sorting rapidity but with additional complex processing to make it efficient. The analysis determines simultaneously both the recensement and arithmetic counting, then the detection of faults based mainly on the comparison of the object shape with the shape defined previously and using this operation the sorting is made. A complementary system equipped with sensors and programmable automata is used to eject each object into corresponding panel</style></abstract><issue><style face="normal" font="default" size="100%">N°6</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Samia Aitouche</style></author><author><style face="normal" font="default" size="100%">Mohamed Djamel Mouss</style></author><author><style face="normal" font="default" size="100%">Ratte Sylvie</style></author><author><style face="normal" font="default" size="100%">Abdelghafour Kaanit</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Comparative study based on metamodels of methods for controlling performance  ISSN 1694-0814</style></title><secondary-title><style face="normal" font="default" size="100%">IJCSI International Journal of computer Science Issues</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.researchgate.net/publication/264274742_Comparative_study_based_on_metamodels_of_methods_for_controlling_performance</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%"> Vol 9</style></volume><pages><style face="normal" font="default" size="100%">pages  1-9</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The continuing evolution of technology and human behavior puts the company in an uncertain and evolving environment. The company must be responsive and even proactive; therefore, control performance becomes increasingly difficult. Choosing the best method of ensuring control by the management policy of the company and its strategy is also a decision problem. The aim of this paper is the comparative study of three methods: the Balanced Scorecard, GIMSI and SKANDIAs NAVIGATOR for choosing the best method for ensuring the orderly following the policy of the company while maintaining its durability. Our work is divided into three parts. We firstly proposed original structural and kinetic metamodels for the three methods that allow an overall view of a method. Secondly, based on the three metamodels, we have drawn a generic comparison to analyze completeness of the method. Thirdly, we performed a restrictive comparison based on a restrictive set of criteria related to the same aspect example organizational learning, which is one of the bricks of knowledge management for a reconciliation to a proactive organization in an environment disturbed and uncertain, and the urgent needs. We note that we applied the three methods are applied in our precedent works. [1][23]</style></abstract><issue><style face="normal" font="default" size="100%"> Issue 3 N°2</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Aitouche Samia</style></author><author><style face="normal" font="default" size="100%">Mouss Med Djamel</style></author><author><style face="normal" font="default" size="100%">Mouss kinza Nadia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Comparative study based on metamodels of methods for controlling performance, ISSN/ISBN 1694-08141694-0784I</style></title><secondary-title><style face="normal" font="default" size="100%">IJCSI International Journal of Computer Science Issues</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.ijcsi.org/articles/Comparative-study-based-on-metamodels-of-methods-for-controlling-performance.php</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Vol. 9 N 3</style></volume><pages><style face="normal" font="default" size="100%">pp. 1-9 </style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The continuing evolution of technology and human behavior puts the company in an uncertain and evolving environment. The company must be responsive and even proactive; therefore, control performance becomes increasingly difficult. Choosing the best method of ensuring control by the management policy of the company and its strategy is also a decision problem. The aim of this paper is the comparative study of three methods: the Balanced Scorecard, GIMSI and SKANDIAs NAVIGATOR for choosing the best method for ensuring the orderly following the policy of the company while maintaining its durability. Our work is divided into three parts. We firstly proposed original structural and kinetic metamodels for the three methods that allow an overall view of a method. Secondly, based on the three metamodels, we have drawn a generic comparison to analyze completeness of the method. Thirdly, we performed a restrictive comparison based on a restrictive set of criteria related to the same aspect example organizational learning, which is one of the bricks of knowledge management for a reconciliation to a proactive organization in an environment disturbed and uncertain, and the urgent needs. We note that we applied the three methods are applied in our precedent works. [1][23]</style></abstract><issue><style face="normal" font="default" size="100%">Issue 3, N 2</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Benfarhi Amor</style></author><author><style face="normal" font="default" size="100%">Mechenene Athmane</style></author><author><style face="normal" font="default" size="100%">Mouss kinza Nadia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Une Approche Modulaire Basée sur les Réseaux d&amp;rsquo;Automates Stochastiques pour l&amp;rsquo;Evaluation des Performances des Systèmes de Production Manufacturiers, janvier 2013, ISSN 1112-9697</style></title><secondary-title><style face="normal" font="default" size="100%">RST, Revue des Sciences et Technologie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://193.194.69.34/rst2/images/vol4n1/320.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Volume 4</style></volume><pages><style face="normal" font="default" size="100%">pp. 63-81 </style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;span style=&quot;left:159.197px;top:284.828px;15px;sans-serif;transform:scaleX(0.975712);&quot;&gt;Dans ce papier, nous nous intéressons au problème de l’évaluation des &lt;/span&gt;&lt;span style=&quot;left:84.9967px;top:302.028px;15px;sans-serif;transform:scaleX(0.901759);&quot;&gt;performances des systèmes de production complexes par une approche analytique. Nous &lt;/span&gt;&lt;span style=&quot;left:84.9967px;top:319.228px;15px;sans-serif;transform:scaleX(0.948456);&quot;&gt;proposons une approche modulaire combinant deux outils complémentaires. Le premier est &lt;/span&gt;&lt;span style=&quot;left:84.9967px;top:336.627px;15px;sans-serif;transform:scaleX(0.928694);&quot;&gt;le formalisme des Réseaux d’Automates Stochastiques (RAS) pour la modélisation modulaire &lt;/span&gt;&lt;span style=&quot;left:84.9967px;top:353.827px;15px;sans-serif;transform:scaleX(0.870882);&quot;&gt;du système de production. Le deuxième est basé sur les Processus de Markov (PdM) pour &lt;/span&gt;&lt;span style=&quot;left:84.9967px;top:371.027px;15px;sans-serif;transform:scaleX(0.934308);&quot;&gt;l’analyse des modèles représentant ce système. L’avantage de cette approche réside dans le &lt;/span&gt;&lt;span style=&quot;left:84.9967px;top:388.227px;15px;sans-serif;transform:scaleX(0.853574);&quot;&gt;fait que la modélisation se fait sur des systèmes déjà décomposés et non sur des systèmes &lt;/span&gt;&lt;span style=&quot;left:84.9967px;top:405.625px;15px;sans-serif;transform:scaleX(0.916359);&quot;&gt;décomposables comme dans la plus part des approches modulaires proposées dans la &lt;/span&gt;&lt;span style=&quot;left:84.9967px;top:422.825px;15px;sans-serif;transform:scaleX(0.917315);&quot;&gt;littérature. Nous adoptons une décomposition à la fois fonctionnelle et structurelle sur le &lt;/span&gt;&lt;span style=&quot;left:84.9967px;top:440.025px;15px;sans-serif;transform:scaleX(0.946366);&quot;&gt;système de production. Nous illustrons notre approche par un exemple très répondu dans la &lt;/span&gt;&lt;span style=&quot;left:84.9967px;top:457.225px;15px;sans-serif;transform:scaleX(0.952599);&quot;&gt;littérature pour évaluer leurs performances&lt;/span&gt;</style></abstract><issue><style face="normal" font="default" size="100%">N°1</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Aitoche Samia</style></author><author><style face="normal" font="default" size="100%">Mouss Med Djamel</style></author><author><style face="normal" font="default" size="100%">Kaanit Abdelghafor</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Comparative study based on metamodels of methods for controlling performance, Mai </style></title><secondary-title><style face="normal" font="default" size="100%">IJCSI International Journal of Computer Science Issues</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.researchgate.net/publication/264274742_Comparative_study_based_on_metamodels_of_methods_for_controlling_performance</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Vol. 9</style></volume><pages><style face="normal" font="default" size="100%">pp 1-9</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The continuing evolution of technology and human behavior puts the company in an uncertain and evolving environment. The company must be responsive and even proactive; therefore, control performance becomes increasingly difficult. Choosing the best method of ensuring control by the management policy of the company and its strategy is also a decision problem. The aim of this paper is the comparative study of three methods: the Balanced Scorecard, GIMSI and SKANDIAs NAVIGATOR for choosing the best method for ensuring the orderly following the policy of the company while maintaining its durability. Our work is divided into three parts. We firstly proposed original structural and kinetic metamodels for the three methods that allow an overall view of a method. Secondly, based on the three metamodels, we have drawn a generic comparison to analyze completeness of the method. Thirdly, we performed a restrictive comparison based on a restrictive set of criteria related to the same aspect example organizational learning, which is one of the bricks of knowledge management for a reconciliation to a proactive organization in an environment disturbed and uncertain, and the urgent needs. We note that we applied the three methods are applied in our precedent works. [1][23]</style></abstract><issue><style face="normal" font="default" size="100%">N 3 Issue 3  N 2</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Aitoche Samia</style></author><author><style face="normal" font="default" size="100%">Mouss Med Djamel</style></author><author><style face="normal" font="default" size="100%">Kaani Abdelghafor</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Comparative study based on metamodels of methods for controlling performance, Mai ISSN 1694-0814 </style></title><secondary-title><style face="normal" font="default" size="100%">IJCSI International Journal of Computer Science Issues,</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.researchgate.net/publication/264274742_Comparative_study_based_on_metamodels_of_methods_for_controlling_performance</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Vol. 9</style></volume><pages><style face="normal" font="default" size="100%">pp 1-9</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The continuing evolution of technology and human behavior puts the company in an uncertain and evolving environment. The company must be responsive and even proactive; therefore, control performance becomes increasingly difficult. Choosing the best method of ensuring control by the management policy of the company and its strategy is also a decision problem. The aim of this paper is the comparative study of three methods: the Balanced Scorecard, GIMSI and SKANDIAs NAVIGATOR for choosing the best method for ensuring the orderly following the policy of the company while maintaining its durability. Our work is divided into three parts. We firstly proposed original structural and kinetic metamodels for the three methods that allow an overall view of a method. Secondly, based on the three metamodels, we have drawn a generic comparison to analyze completeness of the method. Thirdly, we performed a restrictive comparison based on a restrictive set of criteria related to the same aspect example organizational learning, which is one of the bricks of knowledge management for a reconciliation to a proactive organization in an environment disturbed and uncertain, and the urgent needs. We note that we applied the three methods are applied in our precedent works. [1][23]</style></abstract><issue><style face="normal" font="default" size="100%">Issue 3 N° 2</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mahdaoui Rafik</style></author><author><style face="normal" font="default" size="100%">Mouss Leila Hayet</style></author><author><style face="normal" font="default" size="100%">Mouss Med Djamel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">he Temporal Neuro-Fuzzy Systems Learning Using Artificial Immune Algorithm,  ISSN/ISBN 1970 &amp;ndash; 8734/1970-8742</style></title><secondary-title><style face="normal" font="default" size="100%">IREME International Review of Mechanical Engineering</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.researchgate.net/publication/290061642_The_temporal_Neuro-Fuzzy_systems_learning_using_artificial_immune_algorithm</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Vol.4</style></volume><pages><style face="normal" font="default" size="100%">pp 918-922</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In this work we propose an immune approach for learning neurofuzzy systems, namely NEFDIAG (NEuro Fuzzy DIAGnosis). NEFDIAG is a software devoted primarily to creation, training and test of a classification Neuro-Fuzzy system of industrial process failures. But in case of great number of input variables NEFDIAG structure grows essentially and the dimensionality of learning task becomes a problem. Existing methods of NEFDIAG learning allow only identifying parameters of NEFDIAG without modifying its structure. We propose an immune Artificial learning approach for NEFDIAG learning based on clonal selection and immune network theories. It allows not only to identify NEFDIAG parameters but also to reduce number of neurons in hidden layers (rules layer) of NEFDIAG.</style></abstract><issue><style face="normal" font="default" size="100%"> N.1</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Aitoche Samia</style></author><author><style face="normal" font="default" size="100%">Mouss Med Djamel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">SKACICM a method for development of knowledge management and innovation system e-KnowSphere, ISSN  1112-9697</style></title><secondary-title><style face="normal" font="default" size="100%">RST, Revue des Sciences et Technologie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.researchgate.net/publication/297647140_SKACICM_a_method_for_development_of_knowledge_management_and_innovation_system_e-KnowSphere</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Vol. 5</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;div class=&quot;t m0 x7 h6 y27 ff5 fs2 fc0 sc0 ls8 ws1&quot;&gt;
	&lt;span class=&quot;ff1 ls17 ws14&quot;&gt;The purpose of this paper is to propose a hybrid method &lt;/span&gt;
&lt;/div&gt;

&lt;div class=&quot;t m0 x7 h6 y28 ff1 fs2 fc0 sc0 ls17 ws15&quot;&gt;
	SKACICM of development of knowledge&lt;span class=&quot;ls21 ws16&quot;&gt; management sy&lt;span class=&quot;ls22 ws17&quot;&gt;stems. Based on &lt;/span&gt;&lt;/span&gt;
&lt;/div&gt;

&lt;div class=&quot;t m0 x7 h6 y29 ff1 fs2 fc0 sc0 ls2 ws18&quot;&gt;
	weaknesses of the method of performa&lt;span class=&quot;ls21 ws19&quot;&gt;nce dashboards SKANDIA, we proposed &lt;/span&gt;
&lt;/div&gt;

&lt;div class=&quot;t m0 x7 h6 y2a ff1 fs2 fc0 sc0 ls2 ws1a&quot;&gt;
	a pragmatisation and adaptation of &lt;span class=&quot;ls23 ws1b&quot;&gt;Skandia to give (ASKANDIA), by &lt;/span&gt;
&lt;/div&gt;

&lt;div class=&quot;t m0 x7 h6 y2b ff1 fs2 fc0 sc0 ls2 ws1c&quot;&gt;
	enrichment of its performance book. We&lt;span class=&quot;ls9 ws1d&quot;&gt; ameliorated CICM model against the &lt;/span&gt;
&lt;/div&gt;

&lt;div class=&quot;t m0 x7 h6 y2c ff1 fs2 fc0 sc0 ls21 ws1e&quot;&gt;
	requirements of GERAM &lt;span class=&quot;ls2 ws1f&quot;&gt;to give ACICM model by mappings between &lt;/span&gt;
&lt;/div&gt;

&lt;div class=&quot;t m0 x7 h6 y2d ff1 fs2 fc0 sc0 lsa ws20&quot;&gt;
	their proposed metamodels. We tried to hybridise ACICM, ASKANDIA
&lt;/div&gt;

&lt;div class=&quot;t m0 x7 h6 y2e ff1 fs2 fc0 sc0 lsb ws21&quot;&gt;
	and business intelligence to propose a new method SKACICM of development
&lt;/div&gt;

&lt;div class=&quot;t m0 x7 h6 y2f ff1 fs2 fc0 sc0 lsa ws22&quot;&gt;
	of knowledge management&lt;span class=&quot;ls17 ws23&quot;&gt; systems. We applied SKACICM on a cement &lt;/span&gt;
&lt;/div&gt;

&lt;div class=&quot;t m0 x7 h6 y30 ff1 fs2 fc0 sc0 lsb ws24&quot;&gt;
	company to develop software cont&lt;span class=&quot;ls17 ws25&quot;&gt;aining three main modules, module &lt;/span&gt;
&lt;/div&gt;

&lt;div class=&quot;t m0 x7 h6 y31 ff1 fs2 fc0 sc0 lsc ws26&quot;&gt;
	knowledge management, module busine&lt;span class=&quot;lsa ws27&quot;&gt;ss intelligence and performance &lt;/span&gt;
&lt;/div&gt;

&lt;div class=&quot;t m0 x7 h6 y32 ff1 fs2 fc0 sc0 lsd ws28&quot;&gt;
	dashboard system. The developed system ameliorated the performance of the
&lt;/div&gt;

&lt;div class=&quot;t m0 x7 h6 y33 ff1 fs2 fc0 sc0 lse ws29&quot;&gt;
	enterprise by 26% and could be genera&lt;span class=&quot;lsa ws2a&quot;&gt;lised to other manuf&lt;span class=&quot;lsc ws2b&quot;&gt;acturing or service &lt;/span&gt;&lt;/span&gt;
&lt;/div&gt;

&lt;div class=&quot;t m0 x7 h6 y34 ff1 fs2 fc0 sc0 ls24 ws4&quot;&gt;
	systems
&lt;/div&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">No. 2</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bentercia Toufik</style></author><author><style face="normal" font="default" size="100%">Mouss Leila Hayet</style></author><author><style face="normal" font="default" size="100%">Mouss Med Djamel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">An Efficient optimization method for the detection of new failures modes in industrial plants, Janvier,  ISSN  1112-9697</style></title><secondary-title><style face="normal" font="default" size="100%">RST, Revue des Sciences et Technologie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://193.194.69.34/rst2/images/vol3n1/5BENTERCIUA.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Vol 03</style></volume><pages><style face="normal" font="default" size="100%">pp 43-52</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;span style=&quot;left:145.997px;top:271.035px;13.1983px;sans-serif;transform:scaleX(0.945643);&quot;&gt;This paper addresses the problem of the detection of new failures modes in industrial plants. &lt;/span&gt;&lt;span style=&quot;left:85.1983px;top:286.234px;13.1983px;sans-serif;transform:scaleX(0.873798);&quot;&gt;Since its associated optimization problem is NP-hard, an efficient method based on taboo search and &lt;/span&gt;&lt;span style=&quot;left:85.1983px;top:301.832px;13.1983px;sans-serif;transform:scaleX(0.945695);&quot;&gt;Bezdeck criterion is proposed, intensification and diversification strategies are also included because of &lt;/span&gt;&lt;span style=&quot;left:85.1983px;top:317.03px;13.1983px;sans-serif;transform:scaleX(0.941099);&quot;&gt;the non connectivity of the solutions space. The proposed approach exercised on a simulated industrial &lt;/span&gt;&lt;span style=&quot;left:85.1983px;top:332.229px;13.1983px;sans-serif;transform:scaleX(0.910578);&quot;&gt;system was shown to exhibit good performances in dealing with the occurrence of new faults in &lt;/span&gt;&lt;span style=&quot;left:85.1983px;top:347.827px;13.1983px;sans-serif;transform:scaleX(0.929208);&quot;&gt;industrial processes, despite that such search algorithm is perfectly general, it can be easily extended to &lt;/span&gt;&lt;span style=&quot;left:85.1983px;top:363.025px;13.1983px;sans-serif;transform:scaleX(0.894687);&quot;&gt;more complicated schemes. &lt;/span&gt;</style></abstract><issue><style face="normal" font="default" size="100%">N°1</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Kadri Ouahab</style></author><author><style face="normal" font="default" size="100%">Mouss Leila Hayet</style></author><author><style face="normal" font="default" size="100%">Mouss Med Djamel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Vers une Optimisation de l&amp;rsquo;Algorithme AntTreeStoch. Revue, ISSN 1112-9697</style></title><secondary-title><style face="normal" font="default" size="100%">RST, Revue des Sciences et Technologie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.researchgate.net/publication/329886361_Vers_une_Optimisation_de_l'Algorithme_AntTreeStoch</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Vol. 3</style></volume><pages><style face="normal" font="default" size="100%">p p. 125-134</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Dans cet article, nous présentons AntTreeStoch un nouvel algorithme de classification hiérarchique et non supervisée. Cet algorithme est basé sur l'auto-organisation observée chez les fourmis réelles. L'émergence des déplacements et les assemblages des fourmis, basés sur la similarité entre les individus permet d'identifier les états de fonctionnements d'un système industriel dynamique et complexe. L'algorithme offre aussi la possibilité de créer de nouvelles classes pour les données non identifiées. En effet le choix d'utiliser AntTreeStoch dans notre système de diagnostic a été motivé par la possibilité d'utiliser à la fois des données numériques et symboliques. Les expériences effectuées sur la base de données Iris, montrent que AntTreeStoch fournit de très bons résultats.</style></abstract><issue><style face="normal" font="default" size="100%">N°1</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bentercia Toufik</style></author><author><style face="normal" font="default" size="100%">Mouss Leila Hayet</style></author><author><style face="normal" font="default" size="100%">Mouss Med Djamel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">An Efficient optimization method for the detection of new failures modes in industrial plants, Janvier, ISSN 1112-9697</style></title><secondary-title><style face="normal" font="default" size="100%"> RST, Revue des Sciences et Technologie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><volume><style face="normal" font="default" size="100%">Vol 03</style></volume><pages><style face="normal" font="default" size="100%">pp 43-52</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%"> N°1</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Kadri Ouahab</style></author><author><style face="normal" font="default" size="100%">Mouss Leila Hayet</style></author><author><style face="normal" font="default" size="100%">Mouss Med Djamel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Vers une Optimisation de l&amp;rsquo;Algorithme AntTreeStoch. Revue, ISSN 1112-9697</style></title><secondary-title><style face="normal" font="default" size="100%"> RST, Revue des Sciences et Technologie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><volume><style face="normal" font="default" size="100%"> Vol. 3 </style></volume><pages><style face="normal" font="default" size="100%">p. 125-134 </style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">N°1</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mahdaoui Rafik</style></author><author><style face="normal" font="default" size="100%">Mouss Leila Hayet</style></author><author><style face="normal" font="default" size="100%">Mouss Med Djamel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A TSK-Type Recurrent Neuro-Fuzzy Systems for Fault Prognosis, ISSN/ISBN 1945-3116/1945-3124</style></title><secondary-title><style face="normal" font="default" size="100%">JESA  Journal of Software Engineering and Applications.</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.researchgate.net/publication/265800845_A_TSK-Type_Recurrent_Neuro-Fuzzy_Systems_for_Fault_Prognosis</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Vol. 58</style></volume><pages><style face="normal" font="default" size="100%"> pp.449-458</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">As a result from the demanding of process safety, reliability and environmental constraints, a called of fault detection and diagnosis system become more and more important. In this article some basic aspects of TSK (Takigi Sugeno Kang) neuro-fuzzy techniques for the prognosis and diagnosis of manufacturing systems are presented. In particular, a neuro-fuzzy model that can be used for the identification and the simulation of faults prognosis models is described. The presented model is motivated by a cooperative neuro-fuzzy approach based on a vectorized recurrent neural net-work architecture. The neuro-fuzzy architecture maps the residuals into two classes: a one of fixed direction residuals and another one of faults belonging to rotary kiln.</style></abstract><issue><style face="normal" font="default" size="100%"> Issue 7</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Kadri Ouahab</style></author><author><style face="normal" font="default" size="100%">Mouss Leila Hayet</style></author><author><style face="normal" font="default" size="100%">Mouss Med Djamel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Fault diagnosis of rotary kiln using SVM and Binary ACO, ISSN 1976-3824</style></title><secondary-title><style face="normal" font="default" size="100%">JMST Journal of Mechanical Science and Technology. Editeur / Publisher. Springer, Heidelberg, ALLEMAGNE </style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://link.springer.com/article/10.1007/s12206-011-1216-z</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Vol. 26</style></volume><pages><style face="normal" font="default" size="100%">pp.601-608</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">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.</style></abstract><issue><style face="normal" font="default" size="100%">N°2</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Aitoche Samia</style></author><author><style face="normal" font="default" size="100%">Mouss Med Djamel</style></author><author><style face="normal" font="default" size="100%">Mouss Leila Hayet</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Comparative study based on metamodels of methods for controlling performance, ISSN 1694-0814</style></title><secondary-title><style face="normal" font="default" size="100%">IJCSI International Journal of Computer Science Issues</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.researchgate.net/publication/264274742_Comparative_study_based_on_metamodels_of_methods_for_controlling_performance</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Vol 9 N° 3</style></volume><pages><style face="normal" font="default" size="100%">pp: 1-9</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The continuing evolution of technology and human behavior puts the company in an uncertain and evolving environment. The company must be responsive and even proactive; therefore, control performance becomes increasingly difficult. Choosing the best method of ensuring control by the management policy of the company and its strategy is also a decision problem. The aim of this paper is the comparative study of three methods: the Balanced Scorecard, GIMSI and SKANDIAs NAVIGATOR for choosing the best method for ensuring the orderly following the policy of the company while maintaining its durability. Our work is divided into three parts. We firstly proposed original structural and kinetic metamodels for the three methods that allow an overall view of a method. Secondly, based on the three metamodels, we have drawn a generic comparison to analyze completeness of the method. Thirdly, we performed a restrictive comparison based on a restrictive set of criteria related to the same aspect example organizational learning, which is one of the bricks of knowledge management for a reconciliation to a proactive organization in an environment disturbed and uncertain, and the urgent needs. We note that we applied the three methods are applied in our precedent works.</style></abstract><issue><style face="normal" font="default" size="100%"> Issue 3 N° 2</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Abdelhadi Adel</style></author><author><style face="normal" font="default" size="100%">Mouss Leila Hayet</style></author><author><style face="normal" font="default" size="100%">Mahdaoui Rafik</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Efficient Tool for the Recognition of the Leaves of Plants, ISSN 1694-0814</style></title><secondary-title><style face="normal" font="default" size="100%">IJCSI International Journal of Computer Science Issues</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.researchgate.net/publication/266278880_Efficient_Tool_for_the_Recognition_of_the_Leaves_of_Plants</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This work appears in pattern recognition in the agronomic domain, especially for the identification of the leaves of plants, while using the adaptive technique of neuronal networks. In this article, we will expose our tool; which is intended for two categories of specialists, the first consisting of researchers in the field of botany, as the second, so all scientists, who may use this work in their own applications. We will expose also, the capacities of generalization of the neuronal networks and their implementation to our problem</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mahdaoui Rafik</style></author><author><style face="normal" font="default" size="100%">Mouss Leila Hayet</style></author><author><style face="normal" font="default" size="100%">Mouss Med Djamel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Temporal Neuro-Fuzzy Monitoring System to Manufacturing Systems, May, ISSN 1694-0814</style></title><secondary-title><style face="normal" font="default" size="100%">IJCSI International Journal of Computer Science Issues</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.researchgate.net/publication/51917361_A_Temporal_Neuro-Fuzzy_Monitoring_System_to_Manufacturing_Systems</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Vol 8</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">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.</style></abstract><issue><style face="normal" font="default" size="100%"> Issue 3</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mahdaoui Rafik</style></author><author><style face="normal" font="default" size="100%">Mouss Leila Hayet</style></author><author><style face="normal" font="default" size="100%">Mouss Med Djamel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The Temporal Neuro-Fuzzy Systems Learning Using Artificial Immune Algorithm, ISSN/ISBN 1970 &amp;ndash; 8734/1970-8742</style></title><secondary-title><style face="normal" font="default" size="100%">IREME International Review of Mechanical Engineering</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.researchgate.net/publication/290061642_The_temporal_Neuro-Fuzzy_systems_learning_using_artificial_immune_algorithm</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Vol 4</style></volume><pages><style face="normal" font="default" size="100%">pp: 918-922</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In this work we propose an immune approach for learning neurofuzzy systems, namely NEFDIAG (NEuro Fuzzy DIAGnosis). NEFDIAG is a software devoted primarily to creation, training and test of a classification Neuro-Fuzzy system of industrial process failures. But in case of great number of input variables NEFDIAG structure grows essentially and the dimensionality of learning task becomes a problem. Existing methods of NEFDIAG learning allow only identifying parameters of NEFDIAG without modifying its structure. We propose an immune Artificial learning approach for NEFDIAG learning based on clonal selection and immune network theories. It allows not only to identify NEFDIAG parameters but also to reduce number of neurons in hidden layers (rules layer) of NEFDIAG.</style></abstract><issue><style face="normal" font="default" size="100%">N° 1</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bentercia Toufik</style></author><author><style face="normal" font="default" size="100%">Mouss Leila Hayet</style></author><author><style face="normal" font="default" size="100%">Besaadi Rafik</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">An Efficient optimization method for the detection of new failures modes in industrial plants, Janvier, ISSN/ISBN 1112-9697</style></title><secondary-title><style face="normal" font="default" size="100%">RST, Revue des Sciences et Technologie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><volume><style face="normal" font="default" size="100%">Vol 03</style></volume><pages><style face="normal" font="default" size="100%">pp: 43-52</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%"> N°1</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Kadri Ouahab</style></author><author><style face="normal" font="default" size="100%">Mouss Leila Hayet</style></author><author><style face="normal" font="default" size="100%">Mouss Med Djamel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Vers une Optimisation de l&amp;rsquo;Algorithme AntTreeStoch, ISSN/ISBN 1112-9697</style></title><secondary-title><style face="normal" font="default" size="100%">RST, Revue des Sciences et Technologie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.researchgate.net/publication/329886361_Vers_une_Optimisation_de_l'Algorithme_AntTreeStoch</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Vol 3</style></volume><pages><style face="normal" font="default" size="100%">p: 125-134</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Dans cet article, nous présentons AntTreeStoch un nouvel algorithme de classification hiérarchique et non supervisée. Cet algorithme est basé sur l'auto-organisation observée chez les fourmis réelles. L'émergence des déplacements et les assemblages des fourmis, basés sur la similarité entre les individus permet d'identifier les états de fonctionnements d'un système industriel dynamique et complexe. L'algorithme offre aussi la possibilité de créer de nouvelles classes pour les données non identifiées. En effet le choix d'utiliser AntTreeStoch dans notre système de diagnostic a été motivé par la possibilité d'utiliser à la fois des données numériques et symboliques. Les expériences effectuées sur la base de données Iris, montrent que AntTreeStoch fournit de très bons résultats.</style></abstract><issue><style face="normal" font="default" size="100%">N°1</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zermane Hanan</style></author><author><style face="normal" font="default" size="100%">Mouss Leila Hayet</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Development of a fuzzy expert system based on PCS 7 and FuzzyControl++, ISSN 2278&amp;ndash;6538</style></title><secondary-title><style face="normal" font="default" size="100%">JES, Journal of Electronic Systems</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.researchgate.net/publication/230773223_DEVELOPMENT_OF_A_FUZZY_EXPERT_SYSTEM_BASED_ON_PCS7_AND_FUZZYCONTROL_CEMENT_MILL_CONTROL</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Vol 1</style></volume><pages><style face="normal" font="default" size="100%">pp: 18-32</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The basic idea of this work was to study the application of expert systems and fuzzy logic in the field of diagnostic and industrial maintenance. For this, a fuzzy expert system designed, developed and simulated in Ain Touta cement society in Batna in the East of Algeria. Dedicated to control cement mill. The application of fuzzy logic and expert systems to control the difference shown in the control system using fuzzy regulators for the operation of the grinding without unnecessary stops, it also helps the operator to know the maintenance task to perform. In addition, regulators decentralization allows the availability of fuzzy control, even if one of the regulators is absent, it does not prevent the other to complete its task to control fineness, mill's temperature and feed.</style></abstract><issue><style face="normal" font="default" size="100%">N° 1</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mahdaoui Rafik</style></author><author><style face="normal" font="default" size="100%">Mouss Leila Hayet</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A TSK-Type Recurrent Neuro-Fuzzy Systems for Fault Prognosis, ISSN/ISBN: 1945-3116/1945-3124.</style></title><secondary-title><style face="normal" font="default" size="100%"> Journal of Software Engineering and Applications (JESA)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://file.scirp.org/Html/5-9301363_19730.htm</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">58</style></volume><pages><style face="normal" font="default" size="100%">449-458</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">As a result from the demanding of process safety, reliability and environmental constraints, a called of fault detection and diagnosis system become more and more important. In this article some basic aspects of TSK (Takigi Sugeno Kang) neuro-fuzzy techniques for the prognosis and diagnosis of manufacturing systems are presented. In particular, a neuro-fuzzy model that can be used for the identification and the simulation of faults prognosis models is described. The presented model is motivated by a cooperative neuro-fuzzy approach based on a vectorized recurrent neural network architecture. The neuro-fuzzy architecture maps the residuals into two classes: a one of fixed direction residuals and another one of faults belonging to rotary kiln.</style></abstract><issue><style face="normal" font="default" size="100%">07</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Kadri Ouahab</style></author><author><style face="normal" font="default" size="100%">Mouss Leila Hayet</style></author><author><style face="normal" font="default" size="100%">Mouss Med Djamel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Fault diagnosis of rotary kiln using SVM and binary ACO, 2012, ISSN/ISBN: 1976-3824</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Mechanical Science and Technology</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://doi.org/10.1007/s12206-011-1216-z</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">26</style></volume><pages><style face="normal" font="default" size="100%">601-608</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">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.</style></abstract><issue><style face="normal" font="default" size="100%">02</style></issue></record></records></xml>