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3,296 results on '"SERVIER"'

1. The space-time cube as an effective way of representing and analysing the streetscape along a pedestrian route in an urban environment

Author

Leduc Thomas, Tourre Vincent, and Servières Myriam

Subjects
Social Sciences
Abstract

. The graphical representation of a complex polygonal object, such as an isovist field (i.e. a 2D isovist in its evolution over time along a pedestrian path in an urban environment) is a hard research issue that was stated in the late 1970s by Benedikt [1]. The generalized space-time cube from Bach and al. [2] is a conceptual framework allowing to propose innovative implementations for the analysis and the display of this complex object. The purpose of this article is to situate, within this formal framework, all the graphical representation solutions that have already been developed for isovist fields. It also aims to identify the problems raised by each of these solutions (spatial anchoring, arbitrary sampling, etc.) and to propose related solutions.

Published
2019
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2. Caractérisation et restitution vidéographique des ambiances urbaines

Author

Giraldo Gabriel, Servières Myriam, Tourre Vincent, Signorelli Valerio, and Bonnet Aurore

Subjects
Ambiances urbaines, Écologie humaine, Espace public, Simulation numérique, Rendu vidéo, Social Sciences
Abstract

À la suite d'une immersion dans un espace public pour avoir notre propre perception du lieu et analyser les comportements des usagers, nous avons procédé à une simulation de phénomènes physiques pour mieux comprendre la nature des phénomènes remarqués par les usagers. Le ressenti des usagers a été ensuite restitué dans une vidéo descriptive dans le but de transmettre les éléments d’ambiance qui caractérisent l’espace étudié. Les réactions des spectateurs de la vidéo, usagers ou non-usagers de l’espace, montrent la pertinence des effets visuels choisis pour restituer les phénomènes physiques.

Published
2018
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3. Permutation Correction in the Frequency Domain in Blind Separation of Speech Mixtures

Author

Pham DT and Servière Ch

Subjects
Telecommunication, TK5101-6720, Electronics, TK7800-8360
Abstract

This paper presents a method for blind separation of convolutive mixtures of speech signals, based on the joint diagonalization of the time varying spectral matrices of the observation records. The main and still largely open problem in a frequency domain approach is permutation ambiguity. In an earlier paper of the authors, the continuity of the frequency response of the unmixing filters is exploited, but it leaves some frequency permutation jumps. This paper therefore proposes a new method based on two assumptions. The frequency continuity of the unmixing filters is still used in the initialization of the diagonalization algorithm. Then, the paper introduces a new method based on the time-frequency representations of the sources. They are assumed to vary smoothly with frequency. This hypothesis of the continuity of the time variation of the source energy is exploited on a sliding frequency bandwidth. It allows us to detect the remaining frequency permutation jumps. The method is compared with other approaches and results on real world recordings demonstrate superior performances of the proposed algorithm.

Published
2006
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37. A Treatment Study Protocol for Participants 0-45 Years With Acute Lymphoblastic Leukaemia

Author

The Swedish Research Council, The Swedish Childhood Cancer Foundation, Pfizer, Servier, NordForsk, Aamu Pediatric Cancer Foundation, German Society for Pediatric Oncology and Hematology GPOH gGmbH, Clinical Trial Center North (CTC North GmbH & Co. KG), Belgium Health Care Knowledge Centre, Karolinska Institutet, Cancer Research UK, Fundação Rui Osório de Castro, Acreditar - Associação de Pais e Amigos das Crianças com Cancro, Grupo Português De Leucemias Pediátricas, Amgen, Nova Laboratories Limited, Danish Child Cancer Foundation, Danish Cancer Society, The Novo Nordic Foundation, Assistance Publique - Hôpitaux de Paris, Direction Générale de l'Offre de Soins, and Mats Heyman, MD, Associate Professor

Published
2024

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