23 research outputs found

    A Hierarchical Petri Net Model for SMIL Documents

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    Contribution à la sécurité du PDA : IDS Embarqué (EIDS)

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    National audienceLa sécurité informatique contribue à la préservation, l'intégrité, la confidentialité ainsi qu'à la non répudiation de l'information. Son intérêt est grandissant surtout dans un environnement sans fil et mobile et la solution ne saurait être ponctuelle ou périodique. Il est nécessaire d'établir un diagnostic en temps réel afin de parer à toute éventualité d'attaque. A cet effet, la solution développée consiste en la mise en œuvre d'un IDS embarqué capable de contrôler l'activité réseau ainsi que l'intégrité du système d'un terminal mobile. C'est un système Multi-Modules (Agents ou Composants) qui préserve sa modularité, son extension et sa propre sécurité ainsi que son indépendance vis à vis des plates-formes. En plus, le fait d'assurer la sécurité de ces terminaux renforcerai et accroîtrai la confiance des gens et augmenterai le nombre d'utilisateurs et de ce fait assurer la réussite économique et technologique de ces produits (PDA), qui vont intégrés les réseaux de 3ieme Génération (UMTS, IMT2000, CDMA2000)

    ADAPTIVE GUIDANCE MODEL BASED SIMILARITY FOR SOFTWARE PROCESS DEVELOPMENT

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    ABSTRACT This paper describes a modeling approach SAGM (Similarity fo

    The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance

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    INTRODUCTION Investment in Africa over the past year with regard to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing has led to a massive increase in the number of sequences, which, to date, exceeds 100,000 sequences generated to track the pandemic on the continent. These sequences have profoundly affected how public health officials in Africa have navigated the COVID-19 pandemic. RATIONALE We demonstrate how the first 100,000 SARS-CoV-2 sequences from Africa have helped monitor the epidemic on the continent, how genomic surveillance expanded over the course of the pandemic, and how we adapted our sequencing methods to deal with an evolving virus. Finally, we also examine how viral lineages have spread across the continent in a phylogeographic framework to gain insights into the underlying temporal and spatial transmission dynamics for several variants of concern (VOCs). RESULTS Our results indicate that the number of countries in Africa that can sequence the virus within their own borders is growing and that this is coupled with a shorter turnaround time from the time of sampling to sequence submission. Ongoing evolution necessitated the continual updating of primer sets, and, as a result, eight primer sets were designed in tandem with viral evolution and used to ensure effective sequencing of the virus. The pandemic unfolded through multiple waves of infection that were each driven by distinct genetic lineages, with B.1-like ancestral strains associated with the first pandemic wave of infections in 2020. Successive waves on the continent were fueled by different VOCs, with Alpha and Beta cocirculating in distinct spatial patterns during the second wave and Delta and Omicron affecting the whole continent during the third and fourth waves, respectively. Phylogeographic reconstruction points toward distinct differences in viral importation and exportation patterns associated with the Alpha, Beta, Delta, and Omicron variants and subvariants, when considering both Africa versus the rest of the world and viral dissemination within the continent. Our epidemiological and phylogenetic inferences therefore underscore the heterogeneous nature of the pandemic on the continent and highlight key insights and challenges, for instance, recognizing the limitations of low testing proportions. We also highlight the early warning capacity that genomic surveillance in Africa has had for the rest of the world with the detection of new lineages and variants, the most recent being the characterization of various Omicron subvariants. CONCLUSION Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve. This is important not only to help combat SARS-CoV-2 on the continent but also because it can be used as a platform to help address the many emerging and reemerging infectious disease threats in Africa. In particular, capacity building for local sequencing within countries or within the continent should be prioritized because this is generally associated with shorter turnaround times, providing the most benefit to local public health authorities tasked with pandemic response and mitigation and allowing for the fastest reaction to localized outbreaks. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century

    Conception d'une machine orientee fonctions, application a l'implantation d'un langage dirige par les donnees

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    SIGLECNRS T Bordereau / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc

    Relative-Identity Management Based on Context

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    International audienceMobile devices nowadays are equipped with sensors and technologies that enable context evaluation. Those devices are not expensive in such a way that everyone can buy a smart phone easily. So, developing mobile context-awareness applications for helping dependent persons to deal with their everyday tasks is crucial. This paper aims to develop a new identities manage-ment system that runs on the dependent person's mobile device. This agent will assist dependent persons by giving them information, advices, instructions and helps regarding their activities of daily living. The main idea is to use a simple communication way to identify objects and subjects in the surrounding context of the assisted person. In this paper we propose efficient identification mecha-nisms that take benefit from our well understanding of the context. Our ap-proach simplifies the use of the interaction between dependent persons and the agent. Hence, unlike usual approaches, the identity of a given entity will not be universal by widely tailored to the current person’s context. In the case where the context is shared by many entities with the risk of identification ambiguity, our identification could use different means such as colors or locations towards others for identification of entities

    Mobile services discovery framework using DBpedia and non-monotonic rules

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    Mobile services are constantly evolving, thanks to improvements in performance of mobile devices and wireless networks. As a result, there is a need for and efficient supply of discovery processes that will even allow non-technical users and developers to publish, discover and access services in a mobile environment where non-functional properties (context and quality of service information) play an important role in the discovery process in conjunction to functional properties. In this paper, we propose a user-centric mobile services discovery framework that enriches functional descriptions of mobile services with semantic annotations from DBpedia knowledge (the semantically-structured version of Wikipedia) which covers multiple domains and provides lightweight ontologies. In addition, it offers open tools that can be used to simplify the provisioning and discovery of mobile services. The framework allows users to rank services using non-monotonic rules, which define their desired choices based on the context and quality of service information. Experimental results show that our framework provides efficient discovery results of efficient mobile services
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