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Laboratoire de Conception et dIntégration des Systèmes

Laboratoire de Conception et dIntégration des Systèmes

8 Projects, page 1 of 2
  • Funder: French National Research Agency (ANR) Project Code: ANR-15-CE05-0004
    Funder Contribution: 440,128 EUR

    This project proposes an architecture of a meshed DC microgrid for delivery of electrical energy in tertiary or residential building, with a central management system in a first time to distribute needs and to associate in a most effective way an intermittent renewable source of energy. It will specifically result in capacity of adaptation of the source level by the search for the most adequate topology according to the ranges of tension of loads and the level of the distribution DC bus. The originality stands in the definition of two types of nodes (the smart DC plug and the smart node) in order to manage the network in a mode of partial energy decrease or reconfiguration. Project is composed into five scientific tasks : - task 1 : Design and realization of the elementary DC smart plug component which provides the power to the final DC loads and the smart nodes that manages the power exchanges on the DC bus (power electronic), - task 2 : consumption measure, transmission and data processing for exchange between the smart plug and the smart nodes and the central management system, - task 3 development of a test platform integrating the different nodes developped (smart nodes and smart plug), - task 4 design of protocol and communication electronics for grid, PLC communication, - task 5 modelling energy management and reliability of DCgrid; simulation to estimate gains of DC microgrid solution. and one additional task for the project management. The ultimate goal is to be able in the future to remove the central management system to integrate all of the intelligence in the nodes.

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  • Funder: French National Research Agency (ANR) Project Code: ANR-13-INFR-0012
    Funder Contribution: 665,632 EUR

    The Web of Things (WoT) aims at interconnecting network-enabled appliances using Web standards. However, Web protocols and languages are not adapted to those connected objects. There is also an emerging need for usages of meaningful services relying on interoperable objects. The major challenge of the ASAWoO project is to enhance appliance integration into the Web. Our project builds an architecture to provide users with understandable functionalities under the form of WoT applications, while enabling collaboration between heterogeneous physical objects. To reach this objective and guarantee our solution verifies additional properties, we combine advances from complementary disciplines: Semantic Web to reason about knowledge models; Service-Oriented Architectures to enable interoperability and scalable deployment from home environments to big organizations; Context-Aware Computing to make situation-based multi-level decisions, Multi-Agent Systems to enable autonomous collaboration between objects; Delay-Tolerant Networks to enable disconnection-tolerance for mobile objects; and Cloud Computing to enable minimize global power consumption through Green-IT and Green-by-IT awareness. In addition, our solution protects sensitive information carried by appliances through Privacy-awareness mechanisms. Our project embeds each physical object into an avatar that exposes physical functionalities as semantic Web services, supports optimized communication and code deployment, proposes collaborative functionalities with other avatars, and dynamically adapts the preceding points to changing situations. The project addresses several scientific locks: - provide an energy-aware cloud infrastructure to manage the lifecycle of WoT architectures supporting WoT application deployment - enable autonomous, collaborative avatar behavior, semantic description, discovery and composition of object capabilities, and context adaptation at the object, communication and functionality levels - design and implement energy- and privacy-aware interaction protocols and disruption-tolerant routing protocols for WoT objects - enable avatar/object protocol negotiation The ASAWoO project is organized in 8 tasks. First, Task 1 validates the interfaces and tools to be used in the project. Then, in parallel, Tasks 2, 3 and 4 respectively define the object architecture, cloud infrastructure and context-aware reasoning mechanisms. Task 5 focuses on semantic functionalities. Finally, Tasks 6 and 7 devise communication mechanisms and develop collaborative behavior. All along the project, Task 8 handles management and dissemination activities. We envision several benefits from the ASAWoO project. Our WoT infrastructure will provide a scalable, out-of-the-box framework enabling high-level interaction with sets of heterogeneous objects via the deployment of Web of Things applications. Moreover, the tasks deliverables represent independent advances in their domains. Assistance robots and co-workers (co-Bots) will be a major market in a near future. This project is an opportunity for vendors like Génération Robots to occupy a strategic market position with the development of advanced applications for connected objects that shall attract customers with easy application deployment and attractive interaction possibilities, leading to the creation of WoT application marketplaces, where software vendors will monetize these apps. For the LIRIS lab, this project concretizes existing work from the Web service and semantic Web research fields. For the IRISA-CASA research team, it leads to context-aware solutions for dynamic code deployment on constrained devices and disruption-tolerant routing protocols. For the LCIS lab, it allows defining new agent interaction models for physical objects. The project is also an experimentation field to validate the work on energy-efficient cloud infrastructures.

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  • Funder: French National Research Agency (ANR) Project Code: ANR-18-ASTR-0005
    Funder Contribution: 299,977 EUR

    In the field of indoor localization using analysis of radio signals, the scientific publications are based on a initial step to take into account the heterogeneity aspect of this type of environment. The heterogeneity of interior environments composed of open spaces, more or less thick walls, floors and sometimes several levels of basement makes it a complex context to deploy a useful location system. Radio signals are specially distorted in a building and this must be taken into account for an accurate location. The initial step may include fixing reference radio equipments in the building and modeling wave propagation based on building plans or conducting experimental measurements in the building to produce a reference model for radio receptions. In some situations, such as a military mission or a fire, this usual initial calibration step is not possible, because the intervention must be immediate or the use of a radio technology must be inside. An unsolved subject to our knowledge, is the use of a radio system to perform accurate localization without locating radio equipment inside and without calibration step of the received signals in the building . A solution of localization with radio signals to be functional, must rely on a part on possible measurements of distance between transmitters and receivers and other part to be positioned in a space with an absolute reference composed of radio equipment with known coordinates. In the case where the calibration step according to the building can not be carried out and that an initial step in the building is not possible, there are in this case, scientific and technical locks, as the lack of an indoor repository and the lack of an accurate conversion function between a received signal and the distance which are some reasons that do not allow the implementation of existing techniques or solutions. The consortium project called POUCET (Terrestrial Connected Urban Positioning) will study and explore an interior location solution without an initial step in the building. The analysis of these locks directs us towards a solution composed of an external repository which can be set up immediately and self-calibrated using signals crossing the building and using several systems of indoor measurement. The challenge will be to use and adapt several indoor measurement systems and to merge the acquired data to produce more robust and accurate results. The measurement of the flight time and the attenuation of the radio signals are two methods that will be explored. The exploitation of sound waves is also a possibility, but it has been discarded in this project because it works hard beyond the walls. Finally, the inertial units composed of gyroscopic elements, orientation sensors and sometimes magnetic have the big advantage of being immediately runnable without initialization in a particular building. However, this device can not be implemented alone because it is a location system relating to cumulative error over time. This method is interesting, but it must be associated with solutions of absolute localization to be able to be recalibrated regularly. The challenge of our project is to propose original solutions combining several localization solutions with different operating characteristics.

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  • Funder: French National Research Agency (ANR) Project Code: ANR-21-CE23-0016
    Funder Contribution: 525,264 EUR

    The deployment of Internet of Things systems in open and dynamic environments raises several issues related to the reliability of the its components. It is unrealistic to consider that every hardware or software component is reliable, trustworthy and efficient whatever the conditons, especially climatic. The MaestrIoT project will address these issues by proposing an algorithmic framework for ensuring trust in a multi-agent system handling sensors and actuators of a cyber-physical environment. Trust management has to be ensured from the perception to decision making and integrating the exchange of information between IoT devices. These theoretical contributions will be applied in two privileged domains, Industry 4.0 and Connected Cooperative Automated Mobility, with demonstrators both in full simulation and hybridizing simulation and real platforms.

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  • Funder: French National Research Agency (ANR) Project Code: ANR-21-CE48-0018
    Funder Contribution: 438,527 EUR

    The IMPACTS project aims at an ever-increasing integration of modeling, numerics and control design for complex multi-physical implicit systems described by both ordinary and partial differential equations. This integration is achieved considering the novel class of Implicit port Hamiltonian (PH) Systems, analyzing their system properties and developing new dedicated methods for numerical simulation and control design. Implicit PH Systems arise from the modeling of systems with non-local constitutive relations, implicit geometric discretization in time and space or control by interconnection. The methodological contributions of this project will concern the modeling and control of implicit PH systems using irreversible Thermodynamics, geometric numerical methods for space-time discretization and order reduction, canonical implicit discrete-time PH systems and energy-based control design, and in domain/boundary control of distributed parameter systems under implicit interconnections.

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