Posts from category "réalisation"

Soutenance de thèse de Justine Tchouanguem

Le 21/12/19 Justine TCHOUANGUEM soutiendra sa thèse intituée :

"Information modeling for the development of sustainable construction (MINDOC)"

Elle présentera ses travaux à 9h00 dans l'amphi B de l'ENI de Tarbes.

Soutenance de Thèse de Hamdi Ben Hamadou

Le 02/10/2019, Hamdi BEN HAMADOU soutiendra sa thèse intitulée :

"Interrogation de données hétérogènes dans les bases de données orientées documents"

Il présentera ses travaux à 14h dans l'auditorium de l'IRIT.

Projet VILAGIL

Le projet VILAGIL porté par Toulouse Métropole, Tisséo, le SICOVAL et le PETR Portes de Gascogne a été retenu par l’Etat dans le cadre de l’appel à projets « Territoires d’Innovation » comme annoncé par le Premier Ministre ce vendredi 13 septembre. Il entend améliorer les conditions de déplacements à Toulouse.

Le dossier de presse est disponible ici

Un article de presse en parle ici

Table Ronde Smart City

Le 26 juin dernier, nous avons organisé une table ronde autour des smart city  :

"Comment et pourquoi articuler Smart-Building Alliance Entreprises et Universitaires autour de la recherche dans le Smart Building"

Plus d'informations sur : https://www.irit.fr/DAS/SmartCity/DAS_SC_Events.html

Soutenance de Thèse de Elhadi BELGHACHE

Le 09/09/2019, Elhadi BELGHACHE soutiendra sa thèse intitulée :

" AMAS4BigData : Analyse dynamique de grandes masses de données par Systèmes Multi-Agents Adaptatifs"

Il présentera ses travaux à 10h30 dans l'auditorium de l'IRIT.

Soutenance de Thèse de Yassine MOTIE

Le 30/08/2019, Yassine MOTIE soutiendra sa thèse :

"Interopérabilité entre dispositifs hétérogènes en environnement ouvert pour la mise en œuvre de co-simulation"

Ca se passera à 10h, dans l'auditorium de l'IRIT.

SandFox: Dashboard for monitoring the energetic consumption

Context Presentation

In a context of energy transition and reduced energy consumption, the SandFox project is a collaborative project between IRIT and Berger-Levrault. This project aims to design a dashboard that displays these energy consumptions and facilitate data analysis and comparison. It also notifies users of detected anomalies on energetic data.

SandFox is a web application based on user-centered design. The dashboard offers an interactive map with the ability to select buildings and display multiple data curves based on selected buildings. This application is developed with Angular, typescript and D3.js.

The research on this project aims to study different visualizations and interactions to facilitate the comparison of buildings and/or periods on the timeline. One proposed solution is a spiral heatmap representation that displays and compares different periods.

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Figure 1 : « SandFox dashboard »

Scientific Goals

- The main goal of the project is to study the different ways of visualizing and interacting with the data for :

- Displaying information on energy consumption for different users

- Analyzing and comparing these data

Keywords

neOCampus, Energy Consumption, Dashboard, innovation, Data Visualization, Data Interaction, Human–computer interaction

Contacts

maxime.durand@irit.fr /mathieu.raynal@irit.fr / christophe.bortolaso@berger-levrault.com / marie-pierre.gleizes@irit.fr

Emergent User-Centered Services in Ambient and Smart Environments

Context Presentation

Cyber-physical and ambient systems surround the human user with services at her/his disposal. From these services, complex composites services, tailored to the user preferences and the current situation, can be composed automatically and on the fly. In order to produce the knowledge necessary for automatic composition in the absence of both prior expression of the user's needs and specification of a process or a composition model, we develop a generic solution based on online reinforcement learning. It is decentralized within a multi-agent system in charge of the administration and composition of the services, which learns incrementally from and for the user.

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Figure 1: Opportunistic Software Composition

Scientific Goals

- Design a decentralized and distributed system that learns and decides on compositions

- Consider user preferences and context

Keywords

Ambient intelligence; Service discovery, selection and composition; Multi-agent system; Machine learning; Smart city; neOCampus

Contacts

walid.younes@irit.frjean-paul.arcangeli@irit.fr – sylvie.trouilhet@irit.fr – francoise.adreit@irit.frvalerie.camps@irit.fr, celine.lemercier@univ-tlse2.fr

Acceptability Conditions for Human to Cooperate with an Autonomous Driving System

Context Presentation

This internship concerns autonomous vehicles of level 3. A level 3 vehicle is only capable of taking full control and operating given specific conditions. However the vehicle is not fully autonomous and the human driver must remain vigilant even in the autonomous driving phase as he can be asked at any moment to retake control over the vehicle in a short amount of time in the event of a failure (situation too complex for the vehicle to handle for example). It is therefore important to make sure that the human driver is always in a state fit to take back control.

In this context, our goal is to design a system capable of observing the human driver while using the vehicle in various situations and to extract a personal profile from these observations that will then be used to measure the attention of the human driver. In the case of low attention, the system will also need to act by either trying to increase the attention of the human driver, or telling the autonomous vehicle that the human driver is not fit to take back control at a moment's notice.

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Figure 1 : « A distracted driver in an autonomous vehicle »

Scientific Goals

- to understand and define the intrinsic and contextual factors defining the driver's attention level

- to design a multi-agent system to estimate at runtime the human driver's attention level and to maintain it based on contextual information

- to define and implement an experimental protocol to evaluate the proposed multi-agent system.

Keywords

Autonomous vehicle, cooperative multi-agent system, dynamic learning, synthetic environment.

Contacts

michael.geraedts-muse@irit.fr,

Interactive data physicalization: “phygitals” Interaction techniques for data exploration

Context Presentation

Over the last decades, the amount of data has increased to 29000 Go produced each second. Understanding the data requires tools to transform these numbers, texts and images into concrete representations. The field of data visualization aims to produce data representation to visualize and analyze abstract data. Building, people or vehicles produce a lot of data collected by many sensors. These specific data are related to a physical location (e.g. number of people in a room is related to the room, humidity in a floor is related to the floor, etc.) Bring and display them close from their physical context allow people to make a better representation of the data (Embedded Data Representations, Willet et al. , 2017)

In this project we aim to design interaction techniques to navigate and manipulate the data close to a physical referent. The main goal is to develop a full interactive physical model of the campus endowed with situated data.

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Figure 1 : (left) TouchGlass project (Cabric et al. 2019) and (right) the design space of interaction techniques for physical referents endowed with situated data

Scientific Goals

- Conceptualize the Interaction Techniques With Situated Data and establish a design space

- design and evaluate interaction techniques with situated data

- Which interaction techniques could be designed to support an interactive scaled model of the campus with situated data ?

Keywords

Phygital, model , situated data, design space

Contacts

Florent.cabric@irit.fr ; Emmanuel.dubois@irit.fr ; Marcos.Serrano@irit.fr ; Christophe.hurter@enac.fr

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