147 research outputs found
Component-based simulation for a reconfiguration study of transitic systems
This paper is organized as follows. Part A presents the context of reconfiguring transitic systems and the main idea in implementing the decision step. It comprises sections 1 to 3. Section 3 presents an example that illustrates the concepts presented in the next sections. Parts B and C express the models and principles used to simulate transitic systems, the result of which will be helpful for choosing the new configuration. Part B focuses mainly on models. It comprises sections 4 to 6. Part C focuses mainly on simulation principles. It comprises sections 7 to 10
Service Reconfiguration in the DANAH Assistive System
International audienceSmart Homes are pervasive systems that interact with the user using a service offer paradigm to provide fully automated daily repetitive tasks. When services are augmented with semantic relationships, one can build adaptive services and systems. In this paper we deal with service failures and propose a recovering method, which we call service reconfiguration, to ensure service availability in smart homes. Both off-line and on-line reconfigurations are considered. This method has been implemented in the DANAH assistive system
On-line self-diagnosis based on power measurement for a wireless sensor node
International audienceA self-diagnosis design for wireless sensor node is a big challenge for designers. Particularly, when sensor nodes are deployed in harsh environment, it's very difficult for human to intervene in case of hardware failure of node components. In this paper, we present our novel self-diagnosis for the discrete event systems (DES) like sensor node, which includes a complete strategy of self-diagnosis based on both functional and nonfunctional tests. Our approach helps sensor node to detect automatically its component failure, and then to take a corrective solution. And then, the implementation of our approach in the real material, which is based on the results of power measurement of node component, is presented. Finally, we also indicate how to optimize our self-diagnosis to make it more energy-efficient
Multi-Level ReconïŹguration in the DANAH Assistive System
International audienceNowadays, interaction with our surrounding environment has increased due to the presence of numerous devices that provide us with services. This is especially true in Smart Homes and can be of great help for the disabled people and the elderly that can no longer perform daily tasks they used to. However, in case of failure, corrective actions can be heavy to take, thus the need for the system to recover by itself and ensure service availability. Service availability is provided through service reconïŹguration. This papers deals with service reconïŹguration in smart homes. It presents a multi-level approach in which both off-line and on-line reconïŹguration schemes are used to gradually recover from failed services. Static, effect-based, path and resource reconïŹguration levels are described. They have been successfully implemented in the DANAH assistive system, which combines both navigation and service provision for smart homes
Increasing the autonomy of Wireless Sensor Node by effective use of both DPM and DVFS methods
International audienceThe use of ubiquitous computing devices like Wireless Sensor Networks (WSNs) has increased with an exponential growth in recent years, due its low-cost, portability, easy deployment, self-organization. Since WSNs are battery-powered devices, thus main challenge faced by designers is reduction of energy consumption in WSNs. This paper presents an effective implementation of Dynamic Power Manager (DPM) and Dynamic Voltage and Frequency Scaling (DVFS) technics to increase the autonomy of wireless sensor node by reducing dynamic power dissipation. Simulation with the application of hazardous gas detection using Capnet-PE tool indicates significant energy-saving, which allows us to evaluate and validate our approach for WSN
Proposal of an Approach to Automate the Generation of a Transitic System's Observer and Decision Support using MDE
International audienceShort term decision support for manufacturing systems is generally difficult because of the initial data needed by the calculations. Previous works suggest the use of a discrete event observer in order to retrieve these data from a virtual copy of the workshop, as up to date as possible at any time. This proposal offered many perspectives, but suffers from the difficulties to generate a decision support tool combining decision calculations and observation. Meanwhile, interesting developments were made in literature about automatic generation of logic control programs for those same manufacturing systems, especially using the Model Driven Engineering. This paper suggests the use of MDE to generate logic control programs, the observer and the decision support tool at the same time, based on the same data collected by the designer of the system. Thus, the last section presents the evolution needed in the initial data structure, as well as the conception flow suggested to automatize the generatio
Vers l' intégration d'une approche de génération automatique de mod ele de simulation dans un flot de conception de contrÎle -commande
National audienceDans le cadre d'une dĂ©marche outillĂ©e d'aide Ă la conception de contrĂŽle-commande, basĂ©e sur l' IngĂ©nierie DirigĂ©e par les ModĂšles (IDM), on cherche Ă y intĂ©grer des techniques de vĂ©rification par simulation. L' intĂ©rĂȘt est de pouvoir permettre la gĂ©nĂ©ration automatisĂ©e du prototype virtuel du systĂšme a commander/superviser, et ce d` es le dĂ©but du cycle de conception. Cette dĂ©marche de conception de systĂšmes sociotechniques permet de gĂ©nĂ©rer un programme de commande et l'interface de supervision associĂ©e , dĂšs le dĂ©but de la conception du systĂšme. La gĂ©nĂ©ration est automatisĂ©e grĂące a l'utilisation des techniques de l'IDM. En vue de l'obtention d'un prototype virtuel d'un procĂ©dĂ© de gestion de fluide, une approche de structuration des modĂšles de simulation du procĂ©dĂ© est prĂ©sentĂ©e dans cet article. Les perspectives d'intĂ©gration au sein du flot de conception de l'outil d'aide Ă la conception Anaxagore sont aussi abordĂ©es
Data processing from manufacturing systems to decision support systems: propositions of alternative design approaches
International audienceWith the increase of flexibility and production rates, the complexity of manufacturing systems reached a point where the operator in charge of the production activity control of the system is not able to forecast efficiently the impact of his decisions on the global performances. As a matter of fact, more and more Decision Support Systems (DSS) are developed, as much in literature or industrial applications. DSS have one common point: the initialization of their forecasting functionality is based on data coming from the manufacturing system. Furthermore, this feature is fundamental, as it has a direct impact on the accuracy of the forecasts. Considering the variety of input and output data, a data processing is necessary to adapt those coming from the manufacturing system. The aim of this paper is to present several design approaches enabling the integrator of a new manufacturing system to speed up the implementation, with the idea of automate and systematize the maximum design phases thanks the model driven engineering
Designing sociotechnical systems: a CWA-based method for dynamic function allocation
International audienceDynamic function allocation (between human agents or between human and technical agents) is a crucial issue in complex sociotechnical systems, particularly in changing or demanding situations. This issue has not yet been explicitly addressed in the Cognitive Work Analysis framework. This paper presents a conceptual and methodological proposal for designers that supplements the existing CWA tools. The new tool is integrated into the Social Organization and Cooperation Analysis (SOCA) stage. It formalizes different kinds of associations between work functions and elementary work situations and between resources and work functions. It enables the identification of conflicts (impossible allocations) when examining a complex situation resulting from the conjunction of several elementary situations. When conflicts are resolved, it is possible to choose the best configuration among a set of possible associations between resources and work functions. This proposal is illustrated with the case study of an electric pedal-assist bike
A Non-Intrusive Monitoring System for Ambient Assisted Living Service Delivery
International audienceAutomation of smart home for ambient assisted living is currently based on a widespread use of sensors. In this paper, we propose a monitoring system based on the semantic analysis of home automation logs (user requests). Our goal is to replace as many sensors as possible by using advanced tools to infer information usually sensored. To take up this challenge, an ontology, automatically derived from a model-driven process, rstly de nes user-system interactions. Then, the use of rules allows an inference engine to deduce user location and intention leading to adapted service delivery
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