Algiers, Algeria
Algiers, Algeria

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Rachid S.,Blida University | Challal Y.,Laboratoire LMCS | Challal Y.,CNRS Heuristic and Diagnostic Methods for Complex Systems | Nadjia B.,Blida University
Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA | Year: 2016

The Internet of Things (IoT) is a rapidly growing technology in recent years. It represents an extension of the Internet into the physical world embracing everyday objects. In consequence, users' privacy and security are becoming a great challenge. To cope with this issue, sophisticated approaches are needed to guarantee these services and hence ensure a large-scale adoption of IoT. In our work we present an approach to model and describe the architecture of internet of things, in which user privacy and security are ensured while taking into consideration the dynamic context in which evolve users, their experience and preferences with respect to security and privacy. © 2015 IEEE.


Bouzidi-Hassini S.,Laboratoire LMCS | Bourahla S.,Laboratoire LMCS | Saboun Y.,Laboratoire LMCS | Benbouzid-Sitayeb F.,Laboratoire LMCS | S. Khelifati,Laboratoire LMCS
Studies in Computational Intelligence | Year: 2014

In this paper, we present ETOMA a multi-agent framework dedicated to developing and testing floor shop production schedules. It is applied for both production and joint production and maintenance scheduling as well. ETOMA architecture is composed of three modules: Develop, Test and Blackboard. The first one defines all agents that model the floor shop and their behavior. The second one takes care of testing the scheduling solution by using Taillard benchmarks depending on floor shop types. The considered types are Flowshop, Job-shop and Open-shop. Finally, the Blackboard insures communication between the two predefined modules. ETOMA allows developing and testing any scheduling solution without imposing a specific architecture for agents. Moreover, ETOMA provides at the end of simulations a report composed of a recapitulative table or a curve according to user choice. © Springer International Publishing Switzerland 2014.


Balla A.,Laboratoire LMCS | Bousbia N.,Laboratoire LMCS
ICEIT 2010 - 2010 International Conference on Educational and Information Technology, Proceedings | Year: 2010

We present in this paper a modeling approach of the pedagogical sequencing of learning units which is called a PGM Pedagogical Graph Model. This graph allows expressing the totality of the pedagogical constraints. PGM is a graph in which the nodes are the learning units and the arcs are the pedagogical constraints between learning units. This will help the author to well structure his/her course and pedagogical relations between the various pedagogical units that compose it and help the learner to be oriented during the browsing in the course avoiding thus the disadvantages of the hypertext links. © 2010 IEEE.

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