<?xml version="1.0" encoding="UTF-8"?><xml><records><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%">Lemouchi Fouad</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Amélioration continue de la conception de produit : Etude de cas réel</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2011</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%">Kherredine Zakaria</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Optimisation des processus de conception des procédés de fabrication&amp;raquo;</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2011</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%">Maache Younes</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Planification des traches de maintenance</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2011</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%">Benchrif Fateh</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Mise en place d&amp;#39;un plan d&amp;#39;amelioration du processus de développement d&amp;#39;un produit </style></title></titles><dates><year><style  face="normal" font="default" size="100%">2011</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%">Derdour Khadidja</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Reconnaissance de formes du chiffre arabe imprimé: Application au code a bare d&amp;#39;un produit</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2011</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%">Zermane Hanane</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Les systèmes experts et la logique floue dans le domaine du diagnostic et de la maintenance</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2011</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>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mouss Leila Hayet</style></author><author><style face="normal" font="default" size="100%">Kadri Ouahab</style></author><author><style face="normal" font="default" size="100%">Merah Fouad</style></author><author><style face="normal" font="default" size="100%">Abdelhadi Adel</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 hybrid approach based on SVM and Binary ACO for featureSelection</style></title><secondary-title><style face="normal" font="default" size="100%">ICMAS’11 International Conference on Modeling and Applied.Edited by Agostino Bruzzone, Claudia Frydman,  Marina  Masset,  Mike Mcginnis , Miquel Angel, and Piera Gregory and Zacharewicz, Rome, Italy</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.liophant.org/i3m/i3m2011/MAS_Proceedings.pdf</style></url></web-urls></urls><pages><style face="normal" font="default" size="100%">pp 08-15</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%">Zeghichi Nafissa</style></author><author><style face="normal" font="default" size="100%">Assas Mekki</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%">Genetic Algorithm with Pareto Fronts for Multi-Criteria Optimization Case Study &amp;ldquo;Milling Parameters Optimization,5th IEEE, Print ISBN: 978-1-4673-0247-0</style></title><secondary-title><style face="normal" font="default" size="100%">International Conference on Software Knowledge Information, Industrial Management and Application, University of Sannio , Benevento, Italy</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://ieeexplore.ieee.org/document/6089970</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The cutting parameters such as the cutting speed, feed speed, and the chip thickness have huge effects on the machining quality and the productivity rate. The optimal choice of these parameters gives a perfect machining without risks and with high productivity rate. The proposed problem tries to minimizing two nonlinear objectives functions: the machining time and the machining cost under several constraints. The well-chosen of conform optimization methods to resolve this problem gives a quick and reliable decision. The genetic algorithms permit the treatment of non-linear functions. They allow a good exploitation in the field of research as well as the non feasible field is not eliminated but sanctioned with high fitness values and a good exploration by the diversification operations that improve the solution quality.</style></abstract></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><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><author><style face="normal" font="default" size="100%">Benbouzid Med El Hachemi</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Modeling and Evaluation of Single Machine Flexibility Using Fuzzy Entropyand Genetic Algorithm Based Approach. InProceedings of 16th IEEE, ISSN: 1946-0740,   E-ISBN: 978-1-4577-0016-3, Print ISBN: 978-1-4577-0017-0</style></title><secondary-title><style face="normal" font="default" size="100%">International Conference on Emerging Technologies and Factory Automation (ETFA 2011),Toulouse</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</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%">Mouss kinza Nadia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Optimization of Cooperative Outsourcing Between Single-Outsourcer Multiple-Subcontractors: a Genetic Algorithm Based Approach</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%">2011</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%">Mouss kinza Nadia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Proposition d&amp;rsquo;une approche probabiliste floue pour la mesure de la flexibilité des systèmes de production </style></title><secondary-title><style face="normal" font="default" size="100%">CIGI 9 Congres International de Génie Industriel</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</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%">Proposed decision support in a disturbed environment using the method GIMSI</style></title><secondary-title><style face="normal" font="default" size="100%">CSAE  IEEE Internationale Conference on, Computer Science and Automation Engineering  Shangai CHINA</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</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%">Haoues Mohamed</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Optimization of outsourcing activity under a win- win single outsourcer-single subcontractor relation ship </style></title><secondary-title><style face="normal" font="default" size="100%">Cie41  41st International Conference on Computers and Industrial Engineering Los Angeles, CA USA</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</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%">Proposed decision support in a disturbed environment using the method GIMSI  </style></title><secondary-title><style face="normal" font="default" size="100%">(CSAE 2011   IEEE International Conference on Computer Science and Automation Engineering</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">DOI: 10.1109/CSAE.2011.5952917</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%">Rezgui Wail</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">SVM and Fuzzy-neural network for the diagnosis by pattern recognition of a photovoltaic system, ISBN : 978-9931-9117-0-8</style></title><secondary-title><style face="normal" font="default" size="100%"> CPI’2011 The7th International Conference Integrated Desing and Production</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</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%">Kadri Ouhab</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Modélisation des aco par l&amp;rsquo;application des SMA réactifs. 17, 18 &amp;amp; 19 octobre 2011 Oujda, Maroc, ISBN : 978-9931-9117-0-8</style></title><secondary-title><style face="normal" font="default" size="100%"> CPI’2011 The7th International Conference Integrated Desing and Production</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</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%">Proposed decision support in a disturbed environment using the method GIMSI </style></title><secondary-title><style face="normal" font="default" size="100%"> CSAE 2011 International Conference on Computer Science and Automation Engineering</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</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%">Mouss Leila-Hayet</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%"> Modeling and Evaluation of Single Machine Flexibility Using Fuzzy Entropy and Genetic Algorithm Based Approach. Toulouse, ISBN: 978-94-62520-74-5    ISSN: 2352-538X</style></title><secondary-title><style face="normal" font="default" size="100%">(ETFA 2011) The 16th IEEE International Conference on Emerging Technologies and Factory Automation  </style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</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%">Mouss Leila-Hayet</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">An efficient hybrid approach based on SVM and Binary ACO for feature SelectionSeptember 12-15, Rome, Italy.pp 08-15 Edited by Agostino Bruzzone, Claudia Frydman,  Marina  Masset,  Mike Mcginnis , Miquel Angel, and Piera Gregory and Zacharewicz</style></title><secondary-title><style face="normal" font="default" size="100%">(ICMAS’11), International Conference on Modeling and Applied Simulation</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.liophant.org/i3m/i3m2011/MAS_Proceedings.pdf</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%">Bentrcia Toufik</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Enhancement of Process State Vector for Industrial Diagnostic Applications Using a Statistical Reduction Approach</style></title><secondary-title><style face="normal" font="default" size="100%"> CIAM’2011, 1st International Conference on Automation and Mechatronics</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</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%">Kadri Ouhab</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Modélisation des aco par l&amp;rsquo;application des SMA réactifs</style></title><secondary-title><style face="normal" font="default" size="100%">CPI’2011 The 8th International Conference on Integrated Design and Production</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</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%">Kebabla M'barek</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A local search Genetic Algorithm for the Job Shop Scheduling Problem</style></title><secondary-title><style face="normal" font="default" size="100%">CPI’2011 The 8th International Conference on Integrated Design and Production</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</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%">Derdour Khadidja</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Reconnaissance des chifffres d&amp;#39;une code a bare</style></title><secondary-title><style face="normal" font="default" size="100%">CPI’2011 The 8th International Conference on Integrated Design and Production</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</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%">Zeghichi Nafissa</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Genetic algorithm with Pareto fronts for multi-criteria optimization case study &amp;ldquo;milling parameters optimization&amp;rdquo;</style></title><secondary-title><style face="normal" font="default" size="100%">(SKIMA, 2011) 5th International Conference onSoftware, Knowledge Information, Industrial Management and Applications   </style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">DOI: 10.1109/SKIMA.2011.6089970</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%">Modeling and Evaluation of Single Machine Flexibility Using Fuzzy Entropy and Genetic Algorithm Based Approach, ISSN: 1946-0740,  E-ISBN: 978-1-4577-0016-3, Print ISBN: 978-1-4577-0017-0</style></title><secondary-title><style face="normal" font="default" size="100%">(ETFA’12),  16th IEEE International Conference on Emerging Technologies and Factory Automation   </style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</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%">Mouss Leila-Hayet</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Proposition d&amp;rsquo;une approche probabiliste floue pour la mesure de la flexibilité des systèmes de production, École Polytechnique de Montréal à Saint-Sauveur, 12, 13 et 14 octobre </style></title><secondary-title><style face="normal" font="default" size="100%">CIGI 9 Congres International de Génie Industriel   </style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.simagi.polymtl.ca/cigi2011  /articles/_Bentrcia-Proposition.pdf</style></url></web-urls></urls><pub-location><style face="normal" font="default" size="100%">Québec, CANADA</style></pub-location><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%">Fayçal Djeffal</style></author><author><style face="normal" font="default" size="100%">Toufik Bentrcia</style></author><author><style face="normal" font="default" size="100%">M.A Abdi</style></author><author><style face="normal" font="default" size="100%">T. Bendib</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Drain current model for undoped Gate Stack Double Gate (GSDG) MOSFETs including the hot-carrier degradation effects</style></title><secondary-title><style face="normal" font="default" size="100%">Microelectronics Reliability</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.sciencedirect.com/science/article/pii/S0026271410005287</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Volume 51</style></volume><pages><style face="normal" font="default" size="100%">pp 550-555</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;div class=&quot;Abstracts u-font-serif&quot; id=&quot;abstracts&quot;&gt;
	&lt;div class=&quot;abstract author&quot; id=&quot;aep-abstract-id12&quot; lang=&quot;en&quot;&gt;
		&lt;div id=&quot;aep-abstract-sec-id13&quot;&gt;
			&lt;p id=&quot;sp005&quot;&gt;
				In this paper, analytical models of drain current and small signal parameters for undoped symmetric Gate Stack Double Gate (GSDG) MOSFETs including the interfacial hot-carrier degradation effects are presented. The models are used to study the device behavior with the interfacial traps densities. The proposed model has been implemented in the SPICE circuit simulator and the capabilities of the model have been explored by circuit simulation example. The developed approaches are verified and validated by the good agreement found with the 2D numerical simulations for wide range of device parameters and bias conditions. GSDG MOSFET design and the accurate proposed model can alleviate the critical problem and further improve the immunity of hot-carrier effects of DG MOSFET-based circuits after hot-carrier damage.
			&lt;/p&gt;
		&lt;/div&gt;
	&lt;/div&gt;
&lt;/div&gt;
</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%">Fayçal Djeffal</style></author><author><style face="normal" font="default" size="100%">Toufik Bentrcia</style></author><author><style face="normal" font="default" size="100%">T. Bendib</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">An analytical drain current model for undoped GSDG MOSFETs including interfacial hot-carrier effects</style></title><secondary-title><style face="normal" font="default" size="100%">Physica Status Solidi (C) Solid State Physics</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.researchgate.net/publication/229913057_An_analytical_drain_current_model_for_undoped_GSDG_MOSFETs_including_interfacial_hot-carrier_effects</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Volume 8</style></volume><pages><style face="normal" font="default" size="100%">pp. 907-910</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In the present work, a comprehensive drain current model including the interfacial hot-carrier degradation effects for undoped symmetric gate stack double gate (GSDG) MOSFET and the expressions of transconductance and drain conductance have been obtained. Exploiting this new device model, we have found that the incorporation of a high-k layer between oxide region and gate metal leads to drain current enhancement, improved output conductance, increased transconductance parameter and enhanced interfacial hot-carrier immunity. The proposed model has been validated by comparing the analytical I-V characteristics with 2-D numerical results. The obtained results may provide a theoretical basis and physical insights for multigate MOSFET-based circuits design including the hot-carrier degradation effects. (© 2011 WILEY-VCH Verlag GmbH &amp;amp; Co. KGaA, Weinheim)</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><author><style face="normal" font="default" size="100%">Chouhal Ouahiba</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Temporal Neuro-Fuzzy Systems in Fault Diagnosis and Prognosis ISSN 1974-9821</style></title><secondary-title><style face="normal" font="default" size="100%">International Review on Modelling and Simulations (IREMOS) </style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.msc-les.org/proceedings/emss/2011/EMSS2011_11.pdf</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 436-440</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:89.7934px;top:450.048px;16.7px;serif;transform:scaleX(0.981376);&quot;&gt;Fault diagnosis and failure prognosis are essential &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:469.253px;16.7px;serif;transform:scaleX(1.03423);&quot;&gt;techniques in improving the safety of many &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:488.458px;16.7px;serif;transform:scaleX(0.978553);&quot;&gt;manufacturing systems. Th&lt;/span&gt;&lt;span style=&quot;left:300.097px;top:488.458px;16.7px;serif;transform:scaleX(1.03133);&quot;&gt;erefore, on-line fault &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:507.562px;16.7px;serif;transform:scaleX(1.00053);&quot;&gt;detection and isolation is one of the most important &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:526.767px;16.7px;serif;transform:scaleX(0.998767);&quot;&gt;tasks in safety-critical and intelligent control systems. &lt;/span&gt;&lt;span style=&quot;left:148.795px;top:545.972px;16.7px;serif;transform:scaleX(0.995258);&quot;&gt;Computational intelligence techniques are &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:565.077px;16.7px;serif;transform:scaleX(0.968437);&quot;&gt;being investigated as extension of the traditional fault &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:584.282px;16.7px;serif;transform:scaleX(0.961307);&quot;&gt;diagnosis methods. This paper discusses the properties &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:603.487px;16.7px;serif;transform:scaleX(1.01538);&quot;&gt;of the TSK/Mamdani approaches and neuro-fuzzy (NF) &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:622.592px;16.7px;serif;transform:scaleX(0.991059);&quot;&gt;fault diagnosis within an application study of an &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:641.797px;16.7px;serif;transform:scaleX(1.01295);&quot;&gt;manufacturing systems. The key issues of finding a &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:661.002px;16.7px;serif;transform:scaleX(1.0054);&quot;&gt;suitable structure for detecting and isolating ten realistic &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:680.107px;16.7px;serif;transform:scaleX(0.997344);&quot;&gt;actuator faults are described. &lt;/span&gt;&lt;span style=&quot;left:148.795px;top:699.312px;16.7px;serif;transform:scaleX(1.01173);&quot;&gt;Within this framework, data-processing &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:718.417px;16.7px;serif;transform:scaleX(0.978035);&quot;&gt;interactive software of simulation baptized NEFDIAG &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:737.622px;16.7px;serif;transform:scaleX(0.989998);&quot;&gt;(NEuro Fuzzy DIAGnosis) version 1.0 is developed. &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:756.827px;16.7px;serif;transform:scaleX(1.00468);&quot;&gt;This software devoted primarily to creation, training &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:775.931px;16.7px;serif;transform:scaleX(1.04044);&quot;&gt;and test of a classification Neuro-Fuzzy system of &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:795.136px;16.7px;serif;transform:scaleX(0.991024);&quot;&gt;industrial process failures. NEFDIAG can be &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:814.341px;16.7px;serif;transform:scaleX(1.0064);&quot;&gt;represented like a special type&lt;/span&gt;&lt;span style=&quot;left:292.298px;top:814.341px;16.7px;serif;transform:scaleX(1.0096);&quot;&gt; of fuzzy perceptron, with &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:833.446px;16.7px;serif;transform:scaleX(0.957329);&quot;&gt;three layers used to classify patterns and failures. The &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:852.651px;16.7px;serif;transform:scaleX(0.961711);&quot;&gt;system selected is the workshop of SCIMAT clinker , &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:871.856px;16.7px;serif;transform:scaleX(1.00169);&quot;&gt;cement factory of Ain Touta &quot; Batna, Algeria&lt;/span&gt; &lt;span style=&quot;left:89.7934px;top:871.856px;16.7px;serif;transform:scaleX(1.00169);&quot;&gt; &quot;. &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%">Adel Abdelhadi</style></author><author><style face="normal" font="default" size="100%">Mouss Leila Hayet</style></author><author><style face="normal" font="default" size="100%">Ouahab Kadri</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Efficient Algorithms for the integration of Arabic Language in Mobile Phone ISSN 1793-8163</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Computer and Electrical Engineering (IJCEE)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.researchgate.net/publication/271303986_Efficient_Algorithms_for_the_integration_of_Arabic_Language_in_Mobile_Phone</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%">pp. 379-383</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This work appears in man-machine interface. Our goal is to study the integration of Arabic language in Mobile Phone, in order to achieve a man-machine interface Arabic. The correct display of Arabic character is essential in a MMI. Since Arabic characters change their forms according to their position in a word, then it is necessary to make a contextual analysis on every word, to find the correct form of each character. The transformation of two or more characters in one form, demand special treatment, as in the case of Arabic ligature LAM-ALEF. The Arabic language has a different direction of writing in relation to other languages embedded in mobile phone, which requires finding an algorithm that provides a bidirectional display of SMS messages. These messages may contain characters from different direction, from right to left, left to right or characters that have no direction. It allows you to make the message understandable.</style></abstract><issue><style face="normal" font="default" size="100%">N°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%">A. Abdelhadi</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%">An Overview of Artificial Immune System Algorithms for Industrial Monitoring ISSN 1974-6059 Cd-Rom ISSN: 1974-6067</style></title><secondary-title><style face="normal" font="default" size="100%">IRECOS International Review on Computers and Software</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.researchgate.net/profile/Majid_Haghparast2/publication/216151550_A_New_Nanometric_Reversible_Full_Subtractor_Gate/links/59f67265458515547c231160/A-New-Nanometric-Reversible-Full-Subtractor-Gate.pdf#page=122</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Volume 6</style></volume><pages><style face="normal" font="default" size="100%">pp 269-274</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:250.699px;top:287.42px;16.7px;serif;transform:scaleX(1.0143);&quot;&gt;We describe in this paper an overview of ar&lt;/span&gt;&lt;span style=&quot;left:544.699px;top:287.42px;16.7px;serif;transform:scaleX(0.98994);&quot;&gt;tificial immune system algorithms to solve &lt;/span&gt;&lt;span style=&quot;left:165.399px;top:307.119px;16.7px;serif;transform:scaleX(0.989127);&quot;&gt;the classification problem in industrial mon&lt;/span&gt;&lt;span style=&quot;left:494.399px;top:307.119px;16.7px;serif;transform:scaleX(0.977342);&quot;&gt;itoring. We present artificial immune system &lt;/span&gt;&lt;span style=&quot;left:165.399px;top:326.62px;16.7px;serif;transform:scaleX(1.01289);&quot;&gt;algorithms, starting with the negative selection that&lt;/span&gt;&lt;span style=&quot;left:511.5px;top:326.62px;16.7px;serif;transform:scaleX(1.02047);&quot;&gt; happens to be a rich source of inspiration. We &lt;/span&gt;&lt;span style=&quot;left:165.399px;top:346.12px;16.7px;serif;transform:scaleX(1.03548);&quot;&gt;also, detail the clonal selection algorithm, which is based on the clonal selection theory. Finally, &lt;/span&gt;&lt;span style=&quot;left:165.399px;top:365.621px;16.7px;serif;transform:scaleX(1.02588);&quot;&gt;we detail other algorithms based of agent &lt;/span&gt;&lt;span style=&quot;left:482.298px;top:365.621px;16.7px;serif;transform:scaleX(1.00835);&quot;&gt;including the immune system and dendritic cell &lt;/span&gt;&lt;span style=&quot;left:165.399px;top:385.122px;16.7px;serif;transform:scaleX(0.945076);&quot;&gt;algorithm. In the end, we summarize the differe&lt;/span&gt;&lt;span style=&quot;left:493.9px;top:385.122px;16.7px;serif;transform:scaleX(0.946096);&quot;&gt;nces and similarities of the works discussed and &lt;/span&gt;&lt;span style=&quot;left:165.399px;top:404.622px;16.7px;serif;transform:scaleX(0.987941);&quot;&gt;we conclude on the prospects related to the &lt;/span&gt;&lt;span style=&quot;left:487.1px;top:404.622px;16.7px;serif;transform:scaleX(0.990681);&quot;&gt;approach of the algorithms of artificial immune &lt;/span&gt;&lt;span style=&quot;left:165.399px;top:424.221px;16.7px;serif;transform:scaleX(0.969993);&quot;&gt;systems for industrial monitoring to&lt;/span&gt;&lt;span style=&quot;left:413.898px;top:424.221px;16.7px;serif;transform:scaleX(0.960829);&quot;&gt; solve the classification problem. &lt;/span&gt;&lt;span style=&quot;left:649.599px;top:424.221px;16.7px;serif;transform:scaleX(0.979453);&quot;&gt;Copyright © 2011 Praise &lt;/span&gt;&lt;span style=&quot;left:165.399px;top:443.822px;16.7px;serif;transform:scaleX(1.02307);&quot;&gt;Worthy Prize S.r.l. - All rights reserved&lt;/span&gt;</style></abstract><issue><style face="normal" font="default" size="100%">Number 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></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%">2011</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.402.9531&amp;rep=rep1&amp;type=pdf#page=331</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Vol. 8</style></volume><pages><style face="normal" font="default" size="100%">pp 309-314</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">Issue 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%">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%">La sélection de paramètres d&amp;rsquo;un système industriel par les colonies de fourmis ISSN: 1583-7165 (printed journal) ISSN: 2065-7471 (e-journal)</style></title><secondary-title><style face="normal" font="default" size="100%">Annals Computer Science Series</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.researchgate.net/publication/278329066_La_selection_de_parametres_d'un_systeme_industriel_par_les_colonies_de_fourmis_Ouahab_Kadri_L_Hayet_Mouss_M_Djamel_M</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Tome 9 </style></volume><pages><style face="normal" font="default" size="100%">pp 155- 168</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 un nouvel&lt;br&gt;algorithme pour réduire la dimension de vecteur d’état de&lt;br&gt;fonctionnement d’un système industriel. Notre algorithme&lt;br&gt;permet de sélectionner un sous-ensemble de paramètres qui&lt;br&gt;offre une détection plus rapide de dysfonctionnement et une&lt;br&gt;bonne qualité de classification. Cet algorithme est basé sur le&lt;br&gt;comportement observé chez les fourmis réelles. Nous montrons&lt;br&gt;ici que l’émergence des déplacements et les interactions des&lt;br&gt;fourmis permet de trouver un ensemble réduit de paramètres&lt;br&gt;qui caractérisent le fonctionnement d’un système industriel&lt;br&gt;dynamique et complexe. L’algorithme offre aussi la possibilité&lt;br&gt;d’utiliser des bases de données de grandes tailles. Les&lt;br&gt;expériences effectuées sur les bases de données Iris et Vehicle&lt;br&gt;montrent que notre algorithme fournit de très bons résultats.&lt;br&gt;MOTS-CLES: Colonie de fourmis, Classification, Diagnostic&lt;br&gt;industriel, Sélection de paramètres, Système complexe et dynamique.</style></abstract><issue><style face="normal" font="default" size="100%">Fasc. 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%">Rafik Mahdaoui</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><author><style face="normal" font="default" size="100%">Ouahiba Chouhal</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Temporal Neuro-Fuzzy Monitoring System to Manufacturing Systems ISSN (Online): 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%">2011</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><pages><style face="normal" font="default" size="100%">pp 237-246</style></pages><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  No1</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%">O. Chouhal</style></author><author><style face="normal" font="default" size="100%">H.L. Mouss</style></author><author><style face="normal" font="default" size="100%">R. Mahdaoui</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Multi agent system using web services for diagnosing Manufacturing Systems ISSN 1970 &amp;ndash; 8734</style></title><secondary-title><style face="normal" font="default" size="100%">International Review of Mechanical engineering (I.RE.M.E)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><volume><style face="normal" font="default" size="100%">Vol. 05</style></volume><pages><style face="normal" font="default" size="100%">pp 1156-1160</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">N. 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%">Rafik Bensaadi</style></author><author><style face="normal" font="default" size="100%">Leïla-Hayet Mouss</style></author><author><style face="normal" font="default" size="100%">Mohamed Djamel Mouss</style></author><author><style face="normal" font="default" size="100%">Mohamed Benbouzid</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Fuzzy Pattern Regognotion Based Fault Diagonis, ISSN 1974-9821</style></title><secondary-title><style face="normal" font="default" size="100%"> International Review on Modelling and Simulations (IREMOS)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://pdfs.semanticscholar.org/614c/703df0df4d13c340811424cb51d5b7b2e941.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 3361-3370</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:242.233px;top:231.643px;16.6px;sans-serif;transform:scaleX(0.904944);&quot;&gt;In order to avoid catastrophic situations when the dynamics of a physical system &lt;/span&gt;&lt;span style=&quot;left:165.44px;top:251.643px;16.6px;sans-serif;transform:scaleX(0.883251);&quot;&gt;(entity in Multi Agent System architectu&lt;/span&gt;&lt;span style=&quot;left:439.683px;top:251.643px;16.6px;sans-serif;transform:scaleX(0.880053);&quot;&gt;re) are evolving toward an undesirable operating mode, &lt;/span&gt;&lt;span style=&quot;left:165.44px;top:271.843px;16.6px;sans-serif;transform:scaleX(0.941287);&quot;&gt;particular and quick safety actions have to be programmed in the control design. Classic control &lt;/span&gt;&lt;span style=&quot;left:165.44px;top:292.043px;16.6px;sans-serif;transform:scaleX(0.882595);&quot;&gt;(PID and even state model based methods) becomes powerless for complex plants (nonlinear, &lt;/span&gt;&lt;span style=&quot;left:165.44px;top:312.043px;16.6px;sans-serif;transform:scaleX(0.985789);&quot;&gt;MIMO and ill&lt;/span&gt;&lt;span style=&quot;left:266.433px;top:312.043px;16.6px;sans-serif;&quot;&gt;-&lt;/span&gt;&lt;span style=&quot;left:272.033px;top:312.043px;16.6px;sans-serif;&quot;&gt;d&lt;/span&gt;&lt;span style=&quot;left:280.433px;top:312.043px;16.6px;sans-serif;transform:scaleX(0.920096);&quot;&gt;efined systems). A more efficient diagnosis requires an artificial intelligence &lt;/span&gt;&lt;span style=&quot;left:165.44px;top:332.243px;16.6px;sans-serif;transform:scaleX(0.907113);&quot;&gt;approach. We propose in this paper the design of a Fuzzy Pattern Recognition System (FPRS) that &lt;/span&gt;&lt;span style=&quot;left:165.44px;top:352.243px;16.6px;sans-serif;transform:scaleX(0.95125);&quot;&gt;solves, in real time, the main following problems: 1) Identification of an actua&lt;/span&gt;&lt;span style=&quot;left:752.767px;top:352.243px;16.6px;sans-serif;transform:scaleX(0.95013);&quot;&gt;l state; 2) &lt;/span&gt;&lt;span style=&quot;left:165.44px;top:372.443px;16.6px;sans-serif;transform:scaleX(0.941186);&quot;&gt;Identification of an eventual evolution towards a failure state; 3) Diagnosis and decision&lt;/span&gt;&lt;span style=&quot;left:768.167px;top:372.443px;16.6px;sans-serif;&quot;&gt;-&lt;/span&gt;&lt;span style=&quot;left:773.767px;top:372.443px;16.6px;sans-serif;transform:scaleX(0.910288);&quot;&gt;making. &lt;/span&gt;&lt;span style=&quot;left:165.44px;top:392.643px;16.6px;sans-serif;transform:scaleX(0.868728);&quot;&gt;Simulations have been carried for a fictive complex process plant with the objective to evaluate &lt;/span&gt;&lt;span style=&quot;left:165.44px;top:412.643px;16.6px;sans-serif;transform:scaleX(0.856891);&quot;&gt;the consistency and the performance of the propo&lt;/span&gt;&lt;span style=&quot;left:506.883px;top:412.643px;16.6px;sans-serif;transform:scaleX(0.870663);&quot;&gt;sed diagnosis philosophy. The obtained results &lt;/span&gt;&lt;span style=&quot;left:165.44px;top:432.893px;16.6px;sans-serif;transform:scaleX(0.909098);&quot;&gt;seem to be encouraging and very promising for application to fault diagnosis of a real and &lt;/span&gt;&lt;span style=&quot;left:165.44px;top:452.893px;16.6px;sans-serif;transform:scaleX(0.901397);&quot;&gt;complex plant process. &lt;/span&gt;&lt;span style=&quot;left:322.883px;top:452.893px;16.6px;sans-serif;transform:scaleX(0.949709);&quot;&gt;Copyright © 2011 Praise Worthy Prize S.r.l. &lt;/span&gt;&lt;span style=&quot;left:628.717px;top:452.893px;16.6px;sans-serif;&quot;&gt;-&lt;/span&gt;&lt;span style=&quot;left:638.517px;top:452.893px;16.6px;sans-serif;transform:scaleX(0.944805);&quot;&gt;All rights reserved&lt;/span&gt;</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%">Aitouche Samia</style></author><author><style face="normal" font="default" size="100%">Mouss kinza Nadia</style></author><author><style face="normal" font="default" size="100%">Kaanit Andelghafor</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Prise en considération des perturbations pour l&amp;#39;analyse et la conception d&amp;#39;un système de production</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Engineering Science and Technologie</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</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>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 Issue</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://arxiv.org/ftp/arxiv/papers/1107/1107.3302.pdf</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%">&lt;span style=&quot;left:109.401px;top:486.335px;15px;serif;transform:scaleX(0.950715);&quot;&gt;Fault diagnosis and failure prog&lt;/span&gt;&lt;span style=&quot;left:304.9px;top:486.335px;15px;serif;transform:scaleX(0.947787);&quot;&gt;nosis are essential techniques &lt;/span&gt;&lt;span style=&quot;left:89.8px;top:503.635px;15px;serif;transform:scaleX(1.00965);&quot;&gt;in improving the safety of many manufacturing systems. &lt;/span&gt;&lt;span style=&quot;left:89.8px;top:520.835px;15px;serif;transform:scaleX(1.00749);&quot;&gt;Therefore, on-line faul&lt;/span&gt;&lt;span style=&quot;left:226.9px;top:520.835px;15px;serif;transform:scaleX(1.01126);&quot;&gt;t detection and isolatio&lt;/span&gt;&lt;span style=&quot;left:364.5px;top:520.835px;15px;serif;transform:scaleX(1.02306);&quot;&gt;n is one of the most &lt;/span&gt;&lt;span style=&quot;left:89.8px;top:538.135px;15px;serif;transform:scaleX(1.00061);&quot;&gt;important tasks in safety-critical and intelligent control systems. &lt;/span&gt;&lt;span style=&quot;left:109.401px;top:555.335px;15px;serif;transform:scaleX(0.982448);&quot;&gt;Computational intelligence tech&lt;/span&gt;&lt;span style=&quot;left:304.701px;top:555.335px;15px;serif;transform:scaleX(0.960088);&quot;&gt;niques are being investigated &lt;/span&gt;&lt;span style=&quot;left:89.8px;top:572.635px;15px;serif;transform:scaleX(1.02022);&quot;&gt;as extension of the traditional fault diagnosis methods. This &lt;/span&gt;&lt;span style=&quot;left:89.8px;top:589.835px;15px;serif;transform:scaleX(1.03445);&quot;&gt;paper discusses the Temporal &lt;/span&gt;&lt;span style=&quot;left:291.1px;top:589.835px;15px;serif;transform:scaleX(1.02009);&quot;&gt;Neuro-Fuzzy Systems (TNFS) &lt;/span&gt;&lt;span style=&quot;left:89.8px;top:607.135px;15px;serif;transform:scaleX(0.979276);&quot;&gt;fault diagnosis within an application study of a manufacturing &lt;/span&gt;&lt;span style=&quot;left:89.8px;top:624.335px;15px;serif;transform:scaleX(0.968422);&quot;&gt;system. The key issues of fi&lt;/span&gt;&lt;span style=&quot;left:287.4px;top:624.335px;15px;serif;transform:scaleX(0.969515);&quot;&gt;nding a suitable structure for &lt;/span&gt;&lt;span style=&quot;left:89.8px;top:641.635px;15px;serif;transform:scaleX(1.00072);&quot;&gt;detecting and isolating ten realistic actuator faults are described. &lt;/span&gt;&lt;span style=&quot;left:89.8px;top:658.835px;15px;serif;transform:scaleX(0.988652);&quot;&gt;Within this framework, data-processing interactive software of &lt;/span&gt;&lt;span style=&quot;left:89.8px;top:676.135px;15px;serif;transform:scaleX(1.00847);&quot;&gt;simulation baptized NEFDI&lt;/span&gt;&lt;span style=&quot;left:272.1px;top:676.135px;15px;serif;transform:scaleX(1.01268);&quot;&gt;AG (NEuro Fuzzy DIAGnosis) &lt;/span&gt;&lt;span style=&quot;left:89.8px;top:693.335px;15px;serif;transform:scaleX(1.00042);&quot;&gt;version 1.0 is developed. &lt;/span&gt;&lt;span style=&quot;left:149.8px;top:710.635px;15px;serif;transform:scaleX(0.970573);&quot;&gt; This software devoted primarily to creation, training &lt;/span&gt;&lt;span style=&quot;left:89.8px;top:727.835px;15px;serif;transform:scaleX(1.01609);&quot;&gt;and test of a classi&lt;/span&gt;&lt;span style=&quot;left:216.801px;top:727.835px;15px;serif;transform:scaleX(1.00964);&quot;&gt;fication Neuro-Fuzzy system of industrial &lt;/span&gt;&lt;span style=&quot;left:89.8px;top:745.135px;15px;serif;transform:scaleX(0.981813);&quot;&gt;process failures. NEFDIAG can &lt;/span&gt;&lt;span style=&quot;left:303.801px;top:745.135px;15px;serif;transform:scaleX(0.979762);&quot;&gt;be represented like a special &lt;/span&gt;&lt;span style=&quot;left:89.8px;top:762.335px;15px;serif;transform:scaleX(1.02972);&quot;&gt;type of fuzzy perceptron, with three layers used to classify &lt;/span&gt;&lt;span style=&quot;left:89.8px;top:779.536px;15px;serif;transform:scaleX(0.99258);&quot;&gt;patterns and failures. The system&lt;/span&gt;&lt;span style=&quot;left:300.9px;top:779.536px;15px;serif;transform:scaleX(0.987532);&quot;&gt; selected is the workshop of &lt;/span&gt;&lt;span style=&quot;left:89.8px;top:796.835px;15px;serif;transform:scaleX(1.01643);&quot;&gt;SCIMAT clinker, cement&lt;/span&gt;&lt;span style=&quot;left:242.8px;top:796.835px;15px;serif;transform:scaleX(1.0005);&quot;&gt; factory in Algeria&lt;/span&gt;</style></abstract><issue><style face="normal" font="default" size="100%">Issue 3 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%">Bensaadi Rafik</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%">Fuzzy Pattern Recognotion Based Fault Diagonis. , December, ISSN: 1974-9821, ISSN/ISBN 1945-3116/1974-983X</style></title><secondary-title><style face="normal" font="default" size="100%">IREMOS International Review on Modelling and Simulations. </style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://hal.archives-ouvertes.fr/hal-00706004/document</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 3361-3370 </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:242.233px;top:231.643px;16.6px;sans-serif;transform:scaleX(0.904944);&quot;&gt;In order to avoid catastrophic situations when the dynamics of a physical system &lt;/span&gt;&lt;span style=&quot;left:165.44px;top:251.643px;16.6px;sans-serif;transform:scaleX(0.883251);&quot;&gt;(entity in Multi Agent System architectu&lt;/span&gt;&lt;span style=&quot;left:439.683px;top:251.643px;16.6px;sans-serif;transform:scaleX(0.880053);&quot;&gt;re) are evolving toward an undesirable operating mode, &lt;/span&gt;&lt;span style=&quot;left:165.44px;top:271.843px;16.6px;sans-serif;transform:scaleX(0.941287);&quot;&gt;particular and quick safety actions have to be programmed in the control design. Classic control &lt;/span&gt;&lt;span style=&quot;left:165.44px;top:292.043px;16.6px;sans-serif;transform:scaleX(0.882595);&quot;&gt;(PID and even state model based methods) becomes powerless for complex plants (nonlinear, &lt;/span&gt;&lt;span style=&quot;left:165.44px;top:312.043px;16.6px;sans-serif;transform:scaleX(0.985789);&quot;&gt;MIMO and ill&lt;/span&gt;&lt;span style=&quot;left:266.43333333333334px;top:312.0427333333333px;16.6px;sans-serif;&quot;&gt;-&lt;/span&gt;&lt;span style=&quot;left:272.0333333333333px;top:312.0427333333333px;16.6px;sans-serif;&quot;&gt;d&lt;/span&gt;&lt;span style=&quot;left:280.433px;top:312.043px;16.6px;sans-serif;transform:scaleX(0.920096);&quot;&gt;efined systems). A more efficient diagnosis requires an artificial intelligence &lt;/span&gt;&lt;span style=&quot;left:165.44px;top:332.243px;16.6px;sans-serif;transform:scaleX(0.907113);&quot;&gt;approach. We propose in this paper the design of a Fuzzy Pattern Recognition System (FPRS) that &lt;/span&gt;&lt;span style=&quot;left:165.44px;top:352.243px;16.6px;sans-serif;transform:scaleX(0.95125);&quot;&gt;solves, in real time, the main following problems: 1) Identification of an actua&lt;/span&gt;&lt;span style=&quot;left:752.767px;top:352.243px;16.6px;sans-serif;transform:scaleX(0.95013);&quot;&gt;l state; 2) &lt;/span&gt;&lt;span style=&quot;left:165.44px;top:372.443px;16.6px;sans-serif;transform:scaleX(0.941186);&quot;&gt;Identification of an eventual evolution towards a failure state; 3) Diagnosis and decision&lt;/span&gt;&lt;span style=&quot;left:768.1666666666665px;top:372.44273333333314px;16.6px;sans-serif;&quot;&gt;-&lt;/span&gt;&lt;span style=&quot;left:773.767px;top:372.443px;16.6px;sans-serif;transform:scaleX(0.910288);&quot;&gt;making. &lt;/span&gt;&lt;span style=&quot;left:165.44px;top:392.643px;16.6px;sans-serif;transform:scaleX(0.868728);&quot;&gt;Simulations have been carried for a fictive complex process plant with the objective to evaluate &lt;/span&gt;&lt;span style=&quot;left:165.44px;top:412.643px;16.6px;sans-serif;transform:scaleX(0.856891);&quot;&gt;the consistency and the performance of the propo&lt;/span&gt;&lt;span style=&quot;left:506.883px;top:412.643px;16.6px;sans-serif;transform:scaleX(0.870663);&quot;&gt;sed diagnosis philosophy. The obtained results &lt;/span&gt;&lt;span style=&quot;left:165.44px;top:432.893px;16.6px;sans-serif;transform:scaleX(0.909098);&quot;&gt;seem to be encouraging and very promising for application to fault diagnosis of a real and &lt;/span&gt;&lt;span style=&quot;left:165.44px;top:452.893px;16.6px;sans-serif;transform:scaleX(0.901397);&quot;&gt;complex plant process. &lt;/span&gt;&lt;span style=&quot;left:322.883px;top:452.893px;16.6px;sans-serif;transform:scaleX(0.949709);&quot;&gt;Copyright © 2011 Praise Worthy Prize S.r.l. &lt;/span&gt;&lt;span style=&quot;left:628.7166666666667px;top:452.8927333333333px;16.6px;sans-serif;&quot;&gt;-&lt;/span&gt;&lt;span style=&quot;left:638.517px;top:452.893px;16.6px;sans-serif;transform:scaleX(0.944805);&quot;&gt;All rights reserved.&lt;/span&gt;</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%">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%">La sélection de paramètres d&amp;rsquo;un système industriel par les colonies de fourmis., Tome 9 Fasc. 1. May ISSN/ISBN 1583-7165/ 2065-7471</style></title><secondary-title><style face="normal" font="default" size="100%">Annals Computer Science Series</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.anale-informatica.tibiscus.ro/download/lucrari/9-1-14-Kadri.pdf </style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Vol. IX </style></volume><pages><style face="normal" font="default" size="100%"> pp 155- 168</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:360.2px;top:514.578px;16.6px;sans-serif;transform:scaleX(0.878306);&quot;&gt;Dans cet article, nous présentons un nouvel &lt;/span&gt;&lt;span style=&quot;left:283.4px;top:533.778px;16.6px;sans-serif;transform:scaleX(0.932931);&quot;&gt;algorithme pour réduire la dimension de vecteur d’é&lt;/span&gt;&lt;span style=&quot;left:666.6px;top:533.778px;16.6px;sans-serif;transform:scaleX(0.83098);&quot;&gt;tat de &lt;/span&gt;&lt;span style=&quot;left:283.4px;top:552.978px;16.6px;sans-serif;transform:scaleX(0.911854);&quot;&gt;fonctionnement d’un système industriel. Notre algor&lt;/span&gt;&lt;span style=&quot;left:670.6px;top:552.978px;16.6px;sans-serif;transform:scaleX(0.84482);&quot;&gt;ithme &lt;/span&gt;&lt;span style=&quot;left:283.4px;top:571.978px;16.6px;sans-serif;transform:scaleX(0.88561);&quot;&gt;permet de sélectionner un sous-ensemble de paramètr&lt;/span&gt;&lt;span style=&quot;left:665.2px;top:571.978px;16.6px;sans-serif;transform:scaleX(0.814445);&quot;&gt;es qui &lt;/span&gt;&lt;span style=&quot;left:283.4px;top:591.178px;16.6px;sans-serif;transform:scaleX(0.894651);&quot;&gt;offre une détection plus rapide de dysfonctionnemen&lt;/span&gt;&lt;span style=&quot;left:653.2px;top:591.178px;16.6px;sans-serif;transform:scaleX(0.802888);&quot;&gt;t et une &lt;/span&gt;&lt;span style=&quot;left:283.4px;top:610.378px;16.6px;sans-serif;transform:scaleX(0.87651);&quot;&gt;bonne qualité de classification. Cet algorithme est&lt;/span&gt;&lt;span style=&quot;left:628px;top:610.378px;16.6px;sans-serif;transform:scaleX(0.774687);&quot;&gt; basé sur le &lt;/span&gt;&lt;span style=&quot;left:283.4px;top:629.578px;16.6px;sans-serif;transform:scaleX(0.903946);&quot;&gt;comportement observé chez les fourmis réelles. Nous&lt;/span&gt;&lt;span style=&quot;left:641.2px;top:629.578px;16.6px;sans-serif;transform:scaleX(0.861694);&quot;&gt; montrons &lt;/span&gt;&lt;span style=&quot;left:283.4px;top:648.778px;16.6px;sans-serif;transform:scaleX(0.878354);&quot;&gt;ici que l’émergence des déplacements et les interac&lt;/span&gt;&lt;span style=&quot;left:646.6px;top:648.778px;16.6px;sans-serif;transform:scaleX(0.821844);&quot;&gt;tions des &lt;/span&gt;&lt;span style=&quot;left:283.4px;top:667.778px;16.6px;sans-serif;transform:scaleX(0.879751);&quot;&gt;fourmis permet de trouver un ensemble réduit de par&lt;/span&gt;&lt;span style=&quot;left:657px;top:667.778px;16.6px;sans-serif;transform:scaleX(0.801857);&quot;&gt;amètres &lt;/span&gt;&lt;span style=&quot;left:283.4px;top:686.978px;16.6px;sans-serif;transform:scaleX(0.925791);&quot;&gt;qui caractérisent le fonctionnement d’un système in&lt;/span&gt;&lt;span style=&quot;left:658.4px;top:686.978px;16.6px;sans-serif;transform:scaleX(0.866971);&quot;&gt;dustriel &lt;/span&gt;&lt;span style=&quot;left:283.4px;top:706.178px;16.6px;sans-serif;transform:scaleX(0.942686);&quot;&gt;dynamique et complexe. L’algorithme offre aussi la &lt;/span&gt;&lt;span style=&quot;left:640px;top:706.178px;16.6px;sans-serif;transform:scaleX(0.887741);&quot;&gt;possibilité &lt;/span&gt;&lt;span style=&quot;left:283.4px;top:725.378px;16.6px;sans-serif;transform:scaleX(0.889978);&quot;&gt;d’utiliser des bases de données de grandes tailles.&lt;/span&gt;&lt;span style=&quot;left:672px;top:725.378px;16.6px;sans-serif;transform:scaleX(0.813558);&quot;&gt; Les &lt;/span&gt;&lt;span style=&quot;left:283.4px;top:744.578px;16.6px;sans-serif;transform:scaleX(0.899358);&quot;&gt;expériences effectuées sur les bases de données Iri&lt;/span&gt;&lt;span style=&quot;left:627.6px;top:744.578px;16.6px;sans-serif;transform:scaleX(0.862605);&quot;&gt;s et Vehicle &lt;/span&gt;&lt;span style=&quot;left:283.4px;top:763.778px;16.6px;sans-serif;transform:scaleX(0.910967);&quot;&gt;montrent que notre algorithme fournit de très bons &lt;/span&gt;&lt;span style=&quot;left:624px;top:763.778px;16.6px;sans-serif;transform:scaleX(0.885621);&quot;&gt;résultats.&lt;/span&gt;</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 Med Djamel</style></author><author><style face="normal" font="default" size="100%">Chouhal Ouahiba</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Temporal Neuro-Fuzzy systems in fault diagnosis and prognosis, February ISSN/ISBN 1974-9821/1974-983X</style></title><secondary-title><style face="normal" font="default" size="100%">IREMOS International Review on Modelling and Simulations. </style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.msc-les.org/proceedings/emss/2011/EMSS2011_11.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">vol.4</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;span style=&quot;left:89.7934px;top:450.048px;16.7px;serif;transform:scaleX(0.981376);&quot;&gt;Fault diagnosis and failure prognosis are essential &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:469.253px;16.7px;serif;transform:scaleX(1.03423);&quot;&gt;techniques in improving the safety of many &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:488.458px;16.7px;serif;transform:scaleX(0.978553);&quot;&gt;manufacturing systems. Th&lt;/span&gt;&lt;span style=&quot;left:300.097px;top:488.458px;16.7px;serif;transform:scaleX(1.03133);&quot;&gt;erefore, on-line fault &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:507.562px;16.7px;serif;transform:scaleX(1.00053);&quot;&gt;detection and isolation is one of the most important &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:526.767px;16.7px;serif;transform:scaleX(0.998767);&quot;&gt;tasks in safety-critical and intelligent control systems. &lt;/span&gt;&lt;span style=&quot;left:148.795px;top:545.972px;16.7px;serif;transform:scaleX(0.995258);&quot;&gt;Computational intelligence techniques are &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:565.077px;16.7px;serif;transform:scaleX(0.968437);&quot;&gt;being investigated as extension of the traditional fault &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:584.282px;16.7px;serif;transform:scaleX(0.961307);&quot;&gt;diagnosis methods. This paper discusses the properties &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:603.487px;16.7px;serif;transform:scaleX(1.01538);&quot;&gt;of the TSK/Mamdani approaches and neuro-fuzzy (NF) &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:622.592px;16.7px;serif;transform:scaleX(0.991059);&quot;&gt;fault diagnosis within an application study of an &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:641.797px;16.7px;serif;transform:scaleX(1.01295);&quot;&gt;manufacturing systems. The key issues of finding a &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:661.002px;16.7px;serif;transform:scaleX(1.0054);&quot;&gt;suitable structure for detecting and isolating ten realistic &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:680.107px;16.7px;serif;transform:scaleX(0.997344);&quot;&gt;actuator faults are described. &lt;/span&gt;&lt;span style=&quot;left:148.795px;top:699.312px;16.7px;serif;transform:scaleX(1.01173);&quot;&gt;Within this framework, data-processing &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:718.417px;16.7px;serif;transform:scaleX(0.978035);&quot;&gt;interactive software of simulation baptized NEFDIAG &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:737.622px;16.7px;serif;transform:scaleX(0.989998);&quot;&gt;(NEuro Fuzzy DIAGnosis) version 1.0 is developed. &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:756.827px;16.7px;serif;transform:scaleX(1.00468);&quot;&gt;This software devoted primarily to creation, training &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:775.931px;16.7px;serif;transform:scaleX(1.04044);&quot;&gt;and test of a classification Neuro-Fuzzy system of &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:795.136px;16.7px;serif;transform:scaleX(0.991024);&quot;&gt;industrial process failures. NEFDIAG can be &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:814.341px;16.7px;serif;transform:scaleX(1.0064);&quot;&gt;represented like a special type&lt;/span&gt;&lt;span style=&quot;left:292.298px;top:814.341px;16.7px;serif;transform:scaleX(1.0096);&quot;&gt; of fuzzy perceptron, with &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:833.446px;16.7px;serif;transform:scaleX(0.957329);&quot;&gt;three layers used to classify patterns and failures. The &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:852.651px;16.7px;serif;transform:scaleX(0.961711);&quot;&gt;system selected is the workshop of SCIMAT clinker , &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:871.856px;16.7px;serif;transform:scaleX(1.00169);&quot;&gt;cement factory of Ain Touta &quot; Batna, Algeria&lt;/span&gt; &lt;span style=&quot;left:89.7934px;top:871.856px;16.7px;serif;transform:scaleX(1.00169);&quot;&gt;&quot;. &lt;/span&gt; &lt;span style=&quot;left:89.7934px;top:871.856px;16.7px;serif;transform:scaleX(1.00169);&quot;&gt; &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%">Abdelhadi Adel</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%">An Overview of Artificial Immune System Algorithms for Industrial Monitoring, March, ISSN/ISBN 1828-6003/1828-6011</style></title><secondary-title><style face="normal" font="default" size="100%">IRECOS International Review on Computers and Software</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://ieeexplore.ieee.org/document/6481888</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Volume 6 </style></volume><pages><style face="normal" font="default" size="100%">pp: 268-273</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">We describe in this paper an overview of artificial immune system algorithms to solve the classification problem in industrial monitoring. We present artificial immune system algorithms, starting with the negative selection that happens to be a rich source of inspiration. We also, detail the clonal selection algorithm, which is based on the clonal selection theory. Finally, we detail other algorithms based of agent including the immune system and dendritic cell algorithm. In the end, we summarize the differences and similarities of the works discussed and we conclude on the prospects related to the approach of the algorithms of artificial immune systems for industrial monitoring to solve the classification problem</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%">Bensaadi Rafik</style></author><author><style face="normal" font="default" size="100%">Mouss Leila Hayet</style></author><author><style face="normal" font="default" size="100%">Benbouzid Med EL</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Fuzzy Pattern Recognition Based Fault Diagnosis, ISSN/ISBN 1974-9821/1974-983X</style></title><secondary-title><style face="normal" font="default" size="100%">IREMOS International Review on Modelling and Simulations</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://hal.archives-ouvertes.fr/hal-00706004/document</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">4</style></volume><pages><style face="normal" font="default" size="100%"> pp.3361-3370</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In order to avoid catastrophic situations when the dynamics of a physical system (entity in Multi Agent System architecture) are evolving toward an undesirable operating mode, particular and quick safety actions have to be programmed in the control design. Classic control (PID and even state model based methods) becomes powerless for complex plants (nonlinear, MIMO and ill-defined systems). A more efficient diagnosis requires an artificial intelligence approach. We propose in this paper the design of a Fuzzy Pattern Recognition System (FPRS) that solves, in real time, the main following problems: 1) Identification of an actual state; 2) Identification of an eventual evolution towards a failure state; 3) Diagnosis and decision-making. Simulations have been carried for a fictive complex process plant with the objective to evaluate the consistency and the performance of the proposed diagnosis philosophy. The obtained results seem to be encouraging and very promising for application to fault diagnosis of a real and complex plant process. Copyright © 2011 Praise Worthy Prize S.r.l. - All rights reserved.</style></abstract><issue><style face="normal" font="default" size="100%">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%">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 Algorithms for the integration of Arabic Language in Mobile Phone, ISSN 1793-8163</style></title><secondary-title><style face="normal" font="default" size="100%">IJCEE International Journal of Computer and Electrical Engineering</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.ijcee.org/papers/345-E934.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">3</style></volume><pages><style face="normal" font="default" size="100%">pp 379-383</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This work appears in man-machine interface. Our goal is to study the integration of Arabic language in Mobile Phone, in order to achieve a man-machine interface Arabic. The correct display of Arabic character is essential in a MMI. Since Arabic characters change their forms according to their position in a word, then it is necessary to make a contextual analysis on every word, to find the correct form of each character. The transformation of two or more characters in one form, demand special treatment, as in the case of Arabic ligature LAM-ALEF. The Arabic language has a different direction of writing in relation to other languages embedded in mobile phone, which requires finding an algorithm that provides a bidirectional display of SMS messages. These messages may contain characters from different direction, from right to left, left to right or characters that have no direction. It allows you to make the message understandable.</style></abstract><issue><style face="normal" font="default" size="100%">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%">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%">La sélection de paramètres d&amp;rsquo;un système industriel par les colonies de fourmis, Fasc 1, May, ISSN/ISBN 1583-7165/2065-7471</style></title><secondary-title><style face="normal" font="default" size="100%">Annals Computer Science Series</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://anale-informatica.tibiscus.ro/download/lucrari/9-1-14-Kadri.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">9</style></volume><pages><style face="normal" font="default" size="100%">pp 155- 168</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 un nouvel algorithme pour réduire la dimension de vecteur d’état de fonctionnement d’un système industriel. Notre algorithme permet de sélectionner un sous-ensemble de paramètres qui offre une détection plus rapide de dysfonctionnement et une bonne qualité de classification. Cet algorithme est basé sur le comportement observé chez les fourmis réelles. Nous montrons ici que l’émergence des déplacements et les interactions des fourmis permet de trouver un ensemble réduit de paramètres qui caractérisent le fonctionnement d’un système industriel dynamique et complexe. L’algorithme offre aussi la possibilité d’utiliser des bases de données de grandes tailles. Les expériences effectuées sur les bases de données Iris et Vehicle montrent que notre algorithme fournit de très bons résultats. MOTS-CLES: Colonie de fourmis, Classification, Diagnostic industriel, Sélection de paramètres, Système complexe et dynamique.</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%">Chouhal Ouahiba</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Temporal Neuro-Fuzzy systems in fault diagnosis and prognosis, February, ISSN/ISBN 1974-9821/1974-983X</style></title><secondary-title><style face="normal" font="default" size="100%">IREMOS International Review on Modelling and Simulations.</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.msc-les.org/proceedings/emss/2011/EMSS2011_11.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">4</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 properties of the TSK/Mamdani approaches and neuro-fuzzy (NF) fault diagnosis within an application study of a manufacturing system. The key issues of finding a suitable structure for detecting and isolating ten realistic actuator faults are described. Within this framework, data-processing interactive software of simulation baptized NEFDIAG (NEuro Fuzzy DIAGnosis) version 1.0 is developed. This software devoted primarily to creation, training and test of a classification Neuro-Fuzzy system of industrial process failures. NEFDIAG can be represented like a special type of fuzzy perceptron, with three layers used to classify patterns and failures. The system selected is the workshop of SCIMAT clinker, cement factory in Algeria.</style></abstract><issue><style face="normal" font="default" size="100%">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%">Fault diagnosis of rotary kiln using SVM and binary ACO, February 2012, ISSN/ISBN: 1738-494X/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%">2011</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%">2</style></issue></record></records></xml>