Patterns d'Analyse pour l'Ingénierie de Systèmes d'Information à base d'Agents : Une Application au Domaine du Transport

National audienceIntelligent Transport Information Systems may find benefit of using agent-based solutions. Actually, transport information systems require adaptability to varying changes in offers, and unexpected occurring events. Agents and multiagent systems provide such requirements. Unfortunately, agent-based information systems such as other distributed, asynchronous, loose-coupling applications are difficult to design and implement due to lack of best practices to ease development. This paper describes an approach based on software pattern reuse facilitating engineering of such systems. Patterns are generic solutions to frequently occurring problems. Metamodel represents and structures agent concepts. Fourteen analysis patterns have been specified from this metamodel and describe conceptual entities for the design of an agent-based IS application. Reuse support patterns help designers to reuse former patterns during the information system application engineering

Patterns for Agent-Based Information Systems: A Case Study in Transport

International audienceIntelligent Transport Information Systems may find benefit of using agent-based solutions. Actually, transport information systems require adaptability to varying changes in offers, and unexpected occurring events. Agents and multiagent systems provide such requirements. Unfortunately, agent-based information systems such as other distributed, asynchronous, loose coupling applications are difficult to design and implement due to lack of best practices to ease development. This paper describes an approach based on software pattern reuse that facilitates engineering of these systems. Some patterns have been specified for the analysis and design of such information systems and are described here. Implementation patterns for a specific platform are sketched in perspectives of this research

Ambient Intelligence and Pervasive Architecture Designed within the EPI-MEDICS Personal ECG Monitor

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Méthodologie pour la conception de systèmes d'information pervasifs (application à la pSanté)

Dans ce mémoire, nous présentons et analysons, dans un premier temps des scénarios pour la prise en charge médicale à distance. A partir de ces scénarios, nous proposons un méta-modèle pour l échange de messages au sein d un environnement pervasif qui se compose, d une part, d un modèle de représentation centrée macro-données qui prend en compte l hétérogénéité et la dynamicité structurelle, syntaxique et sémantique des données pour les présenter aux acteurs selon le contexte, et d autre part un modèle de communication qui décrit la connaissance des types d'échange entre les acteurs en fonction des ressources temporelles, humaines et matérielles dont disposent chacun des acteurs. Cette méthodologie nous a permis d implémenter plusieurs infrastructures capables de garantir, dans un délai raisonnable selon le besoin, la prise en charge par un expert des demandes d autres acteurs du système de santé en fournissant, en quasi temps réel, en tous lieux et en tous temps, des données exhaustives concernant le patient et nécessaires à l établissement d un diagnostic fiable.In this document, we present and analyze, initially scenarios for the telemedecine. From these scenarios, we propose a meta-model for the exchange of messages within a pervasif environment which is composed, on the one hand, of a model of centered representation macro-data which takes into account heterogeneity and the structural, syntactic dynamicity and semantics of data to present at the actors according to the context, and on the other hand a model of communication which describes the knowledge of the types of exchange between the actors according to the temporal resources, human and material available to each actor. This methodology allow to implement infrastructures able to guarantee, within a reasonable time according to the need, the catch of load by an expert of the requests of other actors of the system of health while providing, in quasi real time, all places and all times, of the data exhaustive concerning the patient and necessary to the establishment of a reliable diagnosis.VILLEURBANNE-DOC'INSA LYON (692662301) / SudocSudocFranceF

Engineering agent-based information systems: a case study of automatic contract net systems

International audienceIn every business the tender has become an indispensable part to foster the negotiation of new trade agreements. The selection and the attribution are nowadays a long process conducted manually. It is necessary to define criteria for selecting the best offer, evaluate each proposal and negotiate a business contract. In this paper, we present an approach based on agents for the development of an automatic award of contracts (here called Automatic Contract Net Systems). The selection and negotiation are then automatically performed through communication between agents. We focus in this paper on the tendering and selection of the best offer. To facilitate the development of complex systems such as multi-agent systems, we adopt software patterns that will guide the designer in the analysis, design and implementation on an agent-based execution platform

Patterns d'analyse pour l'ingénierie des systèmes multi-agents

National audienceLe paradigme des systèmes multi-agents (SMA) est approprié pour des applications distribuées sans contrôle centralisé et pour lesquelles il est nécessaire qu'un sousensemble des agents collabore afin de résoudre un problème global. Les systèmes multiagents comme toute application distribuée, asynchrone et à faible couplage sont difficiles à concevoir et à développer. Nous proposons de faciliter leur conception par la réutilisation de patterns logiciels. Les patterns constituent des solutions génériques à des problèmes fréquemment rencontrés. Nous avons conçu un métamodèle représentant et structurant les concepts inhérents aux SMA. A partir de ce modèle, douze patterns d'analyse décrivant les éléments conceptuels nécessaires à la spécification d'applications orientées agents ont été conçus, ainsi que des patterns de support d'utilisation facilitant la réutilisation de ces patterns lors de la phase d'analyse du processus d'ingénierie des SMA

Machine Learning for Text Anomaly Detection: A Systematic Review

International audienceAnomaly detection is a common task in various domains, which has attracted significant research efforts in recent years. Existing reviews mainly focus on structured data, such as numerical or categorical data. Several studies treated review of anomaly detection in general on heterogeneous data or concerning a specific domain. However, anomaly detection on unstructured textual data is less treated. In this work, we target textual anomaly detection. Thus, we propose a systematic review of anomaly detection solutions in the text. To do so, we analyze the included papers in our survey in terms of anomaly detection types, feature extraction methods, and machine learning methods. We also introduce a web scrapping to collect papers from digital libraries and propose a clustering method to classify selected papers automatically. Finally, we compare the proposed automatic clustering approach with manual classification, and we show the interest of our contribution

Towards New Integrated Information and Communication Infrastructures in E-Health. Examples from cardiology.

International audienceAn operational e-health infrastructure including pervasive services and remote distributed applications servers in the cardiology domain is presented. Based on the implementation of previously reported software components building blocks, developed in particular within the frame of European projects, the architecture promotes and facilitates the use of advanced methods of quantitative electrocardiology. The expected outcome is the improvement of the early detection of cardiac diseases, of the patients follow-up and the enhancement of the citizens quality of life

A Clustering Approach Combining Lines andText Detection for Table Extraction

International audienceTable detection is a crucial step in several document anal-ysis applications as tables are used to present essential information tothe reader in a structured manner. In companies that deal with a largeamount of data, administrative documents must be processed with rea-sonable accuracy, and the detection and interpretation of tables are cru-cial. Table recognition has gained interest in document image analysis,particularly in unconstrained formats (absence of rule lines, unknowninformation of rows and columns). This problem is challenging due tothe variety of table layouts, encoding techniques, and the similarity oftabular regions with non-tabular document elements. In this, paper, wemake use of the location, context, and content type, thus it is purely astructure perception approach, not dependent on the language and thequality of the text reading. We evaluate our model on invoice-like doc-uments and the proposed method showed good results for the task oftable extraction