Search results for " Computer science"

Approche sémantique pour la recommandation de documents textuels dans un contexte Big Data appliquée à la veille économique

2015

11H30-13H00 Conférencier invité Christophe Cruz (Le2i, Université de Bourgogne) : « Approche sémantique pour la recommandation de documents textuels dans un contexte Big Data appliquée à la veille économique » (Présidence de session : Eric Kergosien)

From Text to Knowledge and Knowledge to Text.

2015

Système de recommandation sémantique de news économiques pour la veille

2014

Approche ontologique pour l'analyse de données spatiales, Journée Scientifique Pluridisciplinaire, Traitements Statistiques des Données Spatiales

2014

HIGEOMES : bilan et perspectives

2014

Usage de la sémantique : des services de catalogue à l’analyse des phénomènes dynamiques

2014

An ABM to support collective reflection on the evolution of mobility

2021

International audience; Transport infrastructures play a large part in defining a smart, sustainable and resilient city. Planning transportation systems traditionally rely on well-known evolutions of roads or public transportation (roundabouts for security, etc.). Yet, infrastructures might also benefit from, or may have to adapt to, recent disruptive innovations concerning modalities, technologies and societal organization (autonomous cars, smart infrastructure, homeworking, etc.). However, innovative urban policies might either facilitate mobility and increase citizen well-being, or create negative side effects. Urban planning therefore requires the city to assess the impact of these disr…

Deep learning for dehazing: Benchmark and analysis

2018

International audience; We compare a recent dehazing method based on deep learning , Dehazenet, with traditional state-of-the-art approach, on benchmark data with reference. Dehazenet estimates the depth map from a single color image, which is used to inverse the Koschmieder model of imaging in the presence of haze. In this sense, the solution is still attached to the Koschmieder model. We demonstrate that this method exhibits the same limitation than other inversions of this imaging model.

Design and Calibration of an Omni-RGB plus D Camera

2016

International audience; In this paper, we present the design of a new camera combining both predator-like and prey-like vision features. This setup provides both a spherical RGB-view and a directional depth-view of the environment. The model and calibration of the full set-up are described. A few examples will be given to demonstrate the interest and the versatility of such camera for robotics and video surveillance at the oral presentation.

An Ontology-Based Approach for the Reconstruction and Analysis of Digital Incidents Timelines

2015

International audience; Due to the democratisation of new technologies, computer forensics investigators have to deal with volumes of data which are becoming increasingly large and heterogeneous. Indeed, in a single machine, hundred of events occur per minute, produced and logged by the operating system and various software. Therefore, the identification of evidence, and more generally, the reconstruction of past events is a tedious and time-consuming task for the investigators. Our work aims at reconstructing and analysing automatically the events related to a digital incident, while respecting legal requirements. To tackle those three main problems (volume, heterogeneity and legal require…