Ontology-based collaborative framework for disaster recovery scenarios

This paper aims at designing of adaptive framework for supporting collaborative work of different actors in public safety and disaster recovery missions. In such scenarios, firemen and robots interact to each other to reach a common goal; firemen team is equipped with smart devices and robots team is supplied with communication technologies, and should carry on specific tasks. Here, reliable connection is mandatory to ensure the interaction between actors. But wireless access network and communication resources are vulnerable in the event of a sudden unexpected change in the environment. Also, the continuous change in the mission requirements such as inclusion/exclusion of new actor, changing the actor's priority and the limitations of smart devices need to be monitored. To perform dynamically in such case, the presented framework is based on a generic multi-level modeling approach that ensures adaptation handled by semantic modeling. Automated self-configuration is driven by rule-based reconfiguration policies through ontology

Adaptive Communication Agent for Group Communication activities

14International audienceIn group-wide collaborative environment, managing the adaptive communication is a challenging task. It implies the monitoring of sudden change in the activities while providing a solution to maintain the connection with the available resources. In this work, we design a software agent that supports autonomic computing to ensure reliable communications among the mobile devices and Autonomous Ground vehicles (AAV). This issue is addressed in the context of save and rescue missions carried out during natural disasters such as floods and forest fires by human and voluntary operators within the framework of wireless environment. The paper focuses the autonomic functionalities of the components used to monitor, analyze, plan, and execute the adaptive mechanisms in case of evolution (mission/environment). We distribute this agent among devices and vehicles to ensure the adaptive task and it is tackled by using appropriate policies used to select the decision and executed without manual intervention. This research is applied to a Crisis Management System (CMS) within the context of the French RTRA project (ROSACE)

Model-based provisioning and management of adaptive distributed communication in mobile cooperative systems

Adaptation of communication is required to maintain the reliable connection and to ensure the minimum quality in collaborative activities. Within the framework of wireless environment, how can host entities be handled in the event of a sudden unexpected change in communication and reliable sources? This challenging issue is addressed in the context of Emergency rescue system carried out by mobile devices and robots during calamities or disaster. For this kind of scenario, this book proposes an adaptive middleware to support reconfigurable, reliable group communications. Here, the system structure has been viewed at two different states, a control center with high processing power and uninterrupted energy level is responsible for global task and entities like autonomous robots and firemen owning smart devices act locally in the mission. Adaptation at control center is handled by semantic modeling whereas at local entities, it is managed by a software module called communication agent (CA). Modeling follows the well-known SWRL instructions which establish the degree of importance of each communication link or component. Providing generic and scalable solutions for automated self-configuration is driven by rule-based reconfiguration policies. To perform dynamically in changing environment, a trigger mechanism should force this model to take an adaptive action in order to accomplish a certain task, for example, the group chosen in the beginning of a mission need not be the same one during the whole mission. Local entity adaptive mechanisms are handled by CA that manages internal service APIs to configure, set up, and monitors communication services and manages the internal resources to satisfy telecom service requirements

Contribution to residential gateway resilience

The traditional ISP broadband architecture allows creating triple play service (data, voice, and video) to the customers' home. At the crossing of these two zones is located an equipment named "Residential Gateway" (RG) which constitutes the central nervous system making it possible to connect, manage, distribute different services to home devices from various platforms. The challenges exist in delivering services with a high level of QoS under the angle of resilience. This dissertation starts with the identification of the various potential faults that have not been detected in the RG life cycle. After analyzing the design specifications, we utilized fault tree analysis technique to trace the faults, the ones which evolve as a catastrophic in customer premises, by using failure data, both from test and field. The classification and correlation of these faults helped us to design a functional fault hierarchy model showing their consequences and their influence in various services. In the communication protocol layer, the faults cascaded with different gravity (strength) and combined with other ones to emerge as catastrophic failures. In order to minimize the service cuts, and the other categories of failures, we have suggested to the reinforcement of robustness in the present RG architecture. In addition, we proposed a fault-tolerant architecture which is efficient both in managing the faults and maximising the availability. Lastly, to assess the performances of different RG prototypes, we have suggested a benchmark with respect to resilience metrics offering the best technical (dependability, security) choice under various environmental situations.L'architecture haute débits des fournisseurs de services Internet permet de proposer un service Triple Play (données, voix et vidéo) au domicile des clients. Au croisement de ces deux zones repose un équipement appelé passerelle résidentielle (RG), qui constitue le système nerveux central permettant de se connecter, de gérer, et de distribuer les différents services aux terminaux à partir de diverses plate-formes. L'une des difficultés à résoudre est la fourniture de ces services avec un niveau élevé de QoS en terme de résilience. Cette thèse débute par l'identification des diverses fautes potentielles qui n'ont pas été détectées durant le cycle de vie des RG. Après l'analyse des spécifications de la phase de conception, nous avons utilisé la technique d'arbre de fautes afin d'identifier celles qui ont engendré des catastrophes chez les clients et ce, en exploitant les données de défaillance issues des tests ou du terrain. La classification et la corrélation de ces fautes nous ont aidé à concevoir un modèle de fautes hiérarchique et fonctionnel mettant en évidence leur impact et leurs conséquences sur les différents services. Dans la couche protocolaire de communication, les fautes s'enchaînent en cascade avec des degrés divers de gravité et se combinent avec d'autres, résultant en défaillances catastrophiques. Afin de minimiser les coupures de services, et d'autres catégories de défaillances, nous avons proposé le renforcement de la robustesse dans l'architecture du RG. Nous avons conçu en outre une architecture tolérante aux fautes, efficace à la fois dans la gestion des fautes et dans la maximisation de la disponibilité. Enfin, pour évaluer les performances des différents prototypes de RG, nous avons élaboré un benchmark en terme de résilience qui permet de souligner les meilleurs choix techniques (fiabilité, sécurité) dans divers environnements opérationnels.RENNES1-BU Sciences Philo (352382102) / SudocSudocFranceF

CAREER RECOMMENDER: A NOVEL APPROACH TO SUGGEST JOBS AND POST-GRADUATION STREAMS

To implement a novel approach to recommend jobs and colleges based on résumé of freshly graduated students. Job postings are crawled from web using a web crawler and stored in a customized database. College lists are also retrieved for post-graduation streams and stored in a database. Student résumé is stored and parsed using natural language processing methods to form a résumé model. Text mining algorithms are applied on this model to extract useful information (i.e., degree, technical skills, extracurricular skills, current location, and hobbies). This information is used to suggest matching jobs and colleges to the candidate.Â

Ontology-based support for reconfigurable adaptive group communication architecture

16In collaborative communication, adaptation is required to maintain the reliable connection. Within the framework of a wireless environment, it is very challenging for the host entities to handle a sudden/unexpected change in communication and available resources. This issue is addressed in the context of save and rescue missions carried out during natural disasters such as floods and forest fires by human and voluntary operators aided by ground mobile devices and autonomous robots. This paper proposes a multi level architecture that supports reconfigurable adaptive group communications using semantic model. Modeling follows the well-known SWRL (Semantic Web Rule Language) instructions which establish the degree of importance of each communication link or component. Adaptation is then achieved through initializing between various configurations and for a given entity, the latter is modified as need be. Providing generic and scalable solutions for automated self-reconfiguration is driven by rule-based reconfiguration policies using ontologies. Finally, we illustrate constraints capable of meeting evolving requirements and the solutions followed by implementation of this scenario