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5 results on '"T. Delot"'

1. Managing CORBA Objects with Dynamic Behaviour in a Directory

Author

B. Finance, T. Delot, Parallélisme, Réseaux, Systèmes, Modélisation (PRISM), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 (LAMIH), and INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France)-Centre National de la Recherche Scientifique (CNRS)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)

Subjects
Webserver directory index, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], Database, Computer science, Directory information tree, Working directory, X.500, 02 engineering and technology, computer.software_genre, World Wide Web, Interoperable Object Reference, Lightweight Directory Access Protocol, Directory service, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Organizational unit, computer
Abstract

International audience; Abstract: At present, objects may be located on Corba (Common Object Request Broker Architecture [14]) platforms using either the naming service [15] or the trading service [17], both standardized by OMG (Object Management Group). By associating a name to a Corba object, the naming service helps users in retrieving a particular object managed by a remote server. The trading service allows, on its own, to localize objects according to the properties they have exported to the trader. Directory services, and particularly LDAP (Lightweight Directory Access Protocol [19]), the most famous directory in the world of the Internet, combine features provided by naming and trading services. Directory services provide advanced features to query directory entries on their names and/or their properties. This paper proposes a Directory Service relying on the LDAP naming model, adapted to the management of dynamic Corba objects, that is objects frequently updated. The directory service also proposes query facilities and a query evaluation model adapted to the management of distribution and possible failures induced by the integration of Corba objects in directories.

Published
2001
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2. Ambient Intelligence: Science or Fad?

Author

James L. Crowley, Joëlle Coutaz, Ingénierie de l’Interaction Homme-Machine (IIHM), Laboratoire d'Informatique de Grenoble (LIG), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), Perception, recognition and integration for observation of activity (PRIMA), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), G. Calvary, T. Delot, F. Sedes, J.-Y. Tigli, and Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)

Subjects
Ambient intelligence, business.industry, Computer science, 05 social sciences, Perspective (graphical), 020207 software engineering, 02 engineering and technology, Data science, Field (computer science), Variety (cybernetics), Informatics, 0202 electrical engineering, electronic engineering, information engineering, Isolation (psychology), 0501 psychology and cognitive sciences, Artificial intelligence, [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], business, 050107 human factors
Abstract

International audience; Weiser's vision has been used to justify and define new research within an extremely diverse collection of fields. It is increasingly evident that such research cannot be carried out in isolation. Research in this area is fundamentally multi-disciplinary, requiring the assimilation of problems and concepts from a variety of specializations. From our perspective, in its current state, ambient intelligence is only the latest stage in the evolution of informatics as a scientific discipline. In this chapter, we will provide an overview of the field in its current state.

Published
2012
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3. Interactive Systems and User-Centered Adaptation: The Plasticity of User Interfaces

Author

Lionel Balme, Joëlle Coutaz, Alexandre Demeure, Gaëlle Calvary, Ingénierie de l’Interaction Homme-Machine (IIHM), Laboratoire d'Informatique de Grenoble (LIG), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF), Perception, recognition and integration for observation of activity (PRIMA), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), G. Calvary, T. Delot, F. Sedes, J.-Y. Tigli, and Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Interactive systems engineering, Structure (mathematical logic), business.industry, Computer science, 05 social sciences, Information technology, 020207 software engineering, 02 engineering and technology, Object (computer science), Field (computer science), Human–computer interaction, 0202 electrical engineering, electronic engineering, information engineering, 0501 psychology and cognitive sciences, [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], User interface, Element (category theory), Adaptation (computer science), business, 050107 human factors
Abstract

International audience; The adaptation of user interfaces (UI) is a problem that simultaneously demands a detailed knowledge of man-machine interaction but also knowledge of interactive systems as a whole, going beyond the field of man-machine interaction, to be able to choose from many aspects of information technology, software engineering and distributed systems notably. As shown in this chapter, software engineering and distributed systems deal with software adaptation. However, the human element is often forgotten. This is why, in 1999, we introduced the concept of plasticity of man-machine interfaces to qualify user-centred adaptation. This is the object of this chapter that we will structure in two sections: one to define precisely the concept of UI plasticity and its problem space, the other, in two instalments, dedicated to technical implementation: the frames of reference and our recommendations on how to implement them. We will conclude on this chapter the gains and the problems found.

4. Spatiotemporal Clustering of Parking Lots at the City Level for Efficiently Sharing Occupancy Forecasting Models.

Author

Mufida MK, Ait El Cadi A, Delot T, Trépanier M, and Zekri D

Abstract

This study aims to address the challenge of developing accurate and efficient parking occupancy forecasting models at the city level for autonomous vehicles. Although deep learning techniques have been successfully employed to develop such models for individual parking lots, it is a resource-intensive process that requires significant amounts of time and data for each parking lot. To overcome this challenge, we propose a novel two-step clustering technique that groups parking lots based on their spatiotemporal patterns. By identifying the relevant spatial and temporal characteristics of each parking lot (parking profile) and grouping them accordingly, our approach allows for the development of accurate occupancy forecasting models for a set of parking lots, thereby reducing computational costs and improving model transferability. Our models were built and evaluated using real-time parking data. The obtained correlation rates of 86% for the spatial dimension, 96% for the temporal one, and 92% for both demonstrate the effectiveness of the proposed strategy in reducing model deployment costs while improving model applicability and transfer learning across parking lots.

Published
2023
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5. A Framework for Detecting and Analyzing Behavior Changes of Elderly People over Time Using Learning Techniques.

Author

Zekri D, Delot T, Thilliez M, Lecomte S, and Desertot M

Subjects
Aged, Female, Fuzzy Logic, Humans, Activities of Daily Living, Caregivers, Decision Support Systems, Clinical, Geriatric Assessment methods
Abstract

A sensor-rich environment can be exploited for elder healthcare applications. In this work, our objective was to conduct a continuous and long-term analysis of elderly's behavior for detecting changes. We indeed did not study snapshots of the behavior but, rather, analyzed the overall behavior evolution over long periods of time in order to detect anomalies. Therefore, we proposed a learning method and formalize a normal behavior pattern for elderly people related to her/his Activities of Daily Living (ADL). We also defined a temporal similarity score between activities that allows detecting behavior changes over time. During the periods of time when behavior changes occurred, we then focused on each activity to identify anomalies. Finally, when a behavior change occurred, it was also necessary to help caregivers and/or family members understand the possible pathology detected in order for them to react accordingly. Therefore, the framework presented in this article includes a fuzzy logic-based decision support system that provides information about the suspected disease and its severity.

Published
2020
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