Éditeur(s) : EUTIC : le réseau international et interdisciplinaire pour les Enjeux et Usages des Technologies de l'Information et de la Communication
Extrait de : "Les écosystèmes numériques et la démocratisation informationnelle" : colloque, les 3 et 4 novembre 2015. Université des Antilles
Description : Cette communication, proposé par Nicolas Lamic, Maître de Conférences en Sciences de l'Education à l'Université des Antilles, a pour objet la présentation d'une démarche d'évaluation empirique (Tricot et al, 2003) d'un test d'implantation de compteurs électriques communicants auprès d'un échantillon de foyers martiniquais sélectionnés dans le cadre d'une recherche expérimentale menée dans l'optique d'un déploiement ultérieur de cette nouvelle technologie sur l'ensemble du territoire de la Martinique. La recherche, toujours en cours, s'organise sur deux phases. La première correspond à l'étape concomitante à l'installation du compteur au domicile des personnes sélectionnées pour l'expérimentation. Elle vise à étudier les conditions d'acceptabilité du compteur communicant. La deuxième phase quant à elle s'intéresse à l'acceptation du compteur et du portail sur lequel les consommateurs peuvent visionner leurs consommations, suivre des objectifs et recevoir des conseils.
Siècle(s) traité(s) : 21
Droits : CC-BY-NC-ND - Attribution - Pas d'utilisation commerciale - Pas de modification
Permalien : http://www.manioc.org/fichiers/V15414
V15414

Éditeur(s) : HAL CCSD Elsevier
Résumé : International audience
ISSN: 0003-4975

hal-01563338
http://hal.univ-brest.fr/hal-01563338
DOI : 10.1016/j.athoracsur.2016.03.093
PUBMED : 27262916

Éditeur(s) : HAL CCSD Elsevier
Résumé : International audience
Aims: The aims of this study were to compare short-and long-term outcomes for clinical T2N0 oesophageal cancer with analysis of (i) primary surgery (S) versus neoadjuvant therapy plus surgery (NS), (ii) squamous cell carcinoma and adenocarcinoma subsets; and (iii) neoadjuvant chemoradiotherapy versus neoadjuvant chemotherapy.Methods: Data were collected from 30 European centres from 2000 to 2010. Among 2944 included patients, 355 patients (12.1%) had cT2N0 disease; 285 (S) and 70 (NS), were compared in terms of short-and long-term outcomes. Propensity score matching analyses were used to compensate for differences in baseline characteristics.Results: No significant differences between the groups were shown in terms of in hospital morbidity and mortality. Nodal disease was observed in 50% of S-group at the time of surgery, with 20% pN2/N3. Utilisation of neoadjuvant therapy was associated with significant tumour downstaging as reflected by increases in pT0, pN0 and pTNM stage 0 disease, this effect was further enhanced with neoadjuvant chemoradiotherapy. After adjustment on propensity score and confounding factors, for all patients and subset analysis of squamous cell and adenocarcinoma, neoadjuvant therapy had no significant effect upon survival or recurrence (overall, loco-regional, distant or mixed) compared to surgery alone. There were no significant differences between neoadjuvant chemotherapy and chemoradiotherapy in short-or long-term outcomes.Conclusion: The results of this study suggest that a surgery alone treatment approach should be recommended as the primary treatment approach for cT2N0 oesophageal cancer despite 50% of patients having nodal disease at the time of surgery.
ISSN: 0959-8049

hal-01666517
https://hal.univ-lorraine.fr/hal-01666517
DOI : 10.1016/j.ejca.2015.11.024

Éditeur(s) : HAL CCSD
Résumé : 6 pages, 4 figures. In ICML 2013 Workshop on Machine Learning for Bioacoustics
International audience
The work presented in this paper is part of a global framework which long term goal is to design a wireless sensor network able to support the observation of a population of endangered birds. We present the first stage for which we have conducted a knowledge discovery approach on a sample of acoustical data. We use MFCC features extracted from bird songs and we exploit two knowledge discovery techniques. One that relies on clustering-based approaches, that highlights the homogeneity in the songs of the species. The other, based on predictive modeling, that demonstrates the good performances of various machine learning techniques for the identification process. The knowledge elicited provides promising results to consider a widespread study and to elicit guidelines for designing a first version of the automatic approach for data collection based on acoustic sensors.
ICML 2013 Workshop on Machine Learning for Bioacoustics
Atlanta, United States

hal-00840741
https://hal.archives-ouvertes.fr/hal-00840741
ARXIV : 1306.5349

Éditeur(s) : HAL CCSD
Résumé : International audience
Structure and evolution of networks have been areas of growing interest in recent years, especially with the emergence of Social Network Analysis (SNA) and its application in numerous fields. Researches on diffusion are focusing on network modeling for studying spreading phenomena. While the impact of network properties on spreading is now widely studied, involvement of network dynamicity is very little known. In this paper, we address the epidemiology context and study the consequences of network evolutions on spread of diseases. Experiments are conducted by comparing incidence curves obtained by evolution strategies applied on two generated and two real networks. Results are then analyzed by investigating network properties and discussed in order to explain how network evolution influences the spread. We present the MIDEN framework, an approach to measure impact of basic changes in network structure, and DynSpread, a 2D simulation tool designed to replay infections scenarios on evolving networks.
Database and Expert Systems Applications - 22nd International Conference, DEXA 2011, Toulouse, France, August 29 - September 2, 2011, Proceedings, Part II
Toulouse, France

hal-00614925
https://hal.archives-ouvertes.fr/hal-00614925
DOI : 10.1007/978-3-642-23091-2_49

Éditeur(s) : HAL CCSD VertigO
Résumé : International audience
Les submersions marines sont le plus souvent associées à des conditions météorologiques locales de tempête et aux phénomènes bien connus de surcote résultant du cumul de l’effet barométrique inverse et des vents d'afflux. Le déferlement des vagues joue également un rôle prépondérant dans la surélévation totale. Il provoque des variations du niveau d’eau de deux types : une surélévation statique du niveau moyen (surcote de vague) et des variations instantanées provoquées par le jet de rive. Ces deux phénomènes sont responsables dans certains cas de plus de 2/3 de la surélévation totale. Lors de la circulation des cyclones Lenny et Omar, le littoral ouest de l’île de la Martinique a été considérablement affecté. Les surélévations du niveau marin lors du passage au large de ces deux cyclones ont été reconstituées pour le nord-ouest de l'ile et particulièrement sur les plages de la commune de St Pierre. Les facteurs de variations du niveau marin ont été décomposés et modélisés en emboîtement d'échelles à partir des modèles ADCIRC pour les composantes de marée et de surcotes météorologiques, SWAN pour la propagation des vagues en zone côtière et les surcotes de vague et enfin pCOULWAVE pour le jet de rive. Ce travail de décomposition des facteurs de variations du niveau marin, associé à la reconstitution par enquêtes de terrain et témoignages, des limites des inondations, met en avant la vulnérabilité de la commune face aux houles cycloniques et la nécessité de prendre en compte l’ensemble des facteurs de variation du niveau marin dans l’étude de l’aléa de submersion et les documents de prévention des risques.
ISSN: 1492-8442

hal-01119372
https://hal-brgm.archives-ouvertes.fr/hal-01119372
https://hal-brgm.archives-ouvertes.fr/hal-01119372/document
https://hal-brgm.archives-ouvertes.fr/hal-01119372/file/Nicolae%20et%20al%202014%20Vertigo-15326-modelisation-lenny-1999-et-omar-2008.pdf
DOI : 10.4000/vertigo.15326

Éditeur(s) : HAL CCSD
Résumé : International audience
In this paper we study how to detect anomalies in a distributed manner by using wireless sensor networks (WSN). We focus on a medical context, where existing works generally provide large environments to monitor patients using sensors as simple transducers. Those devices forward sensed health parameters to a main base station. This station collects received data and may perform some computations. In this paper, we perform some distributed tasks on the sensors. We propose a distributed algorithm which allows to raise alarms under some initial rules to alert efficiently medical staff in case of critical situations without needles warnings.
10th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, WOWMOM 2009.
KOS, Greece

hal-00519589
https://hal.archives-ouvertes.fr/hal-00519589

Éditeur(s) : HAL CCSD Association francophone d'éducation comparée
Résumé : International audience
ISSN: 0339-5456

hal-01673532
https://hal.univ-antilles.fr/hal-01673532
https://hal.univ-antilles.fr/hal-01673532/document
https://hal.univ-antilles.fr/hal-01673532/file/Lamic%2C%20Troadec%20%282016%29.pdf

Éditeur(s) : HAL CCSD
Résumé : International audience
More and more animal species are endangered. In order to study and protect them, several measures have been taken, which now seem to show their limit. This work focuses on the counting process, a key issue for any project that aims to protect animals. Indeed, this paper proposes an algorithm for automatic counting of singing birds in their habitat by using wireless sensors fitted with microphone. Sensors are used to record audio samples of bird songs. These samples are used to extract some kinds of song fingerprint that are thereafter used to recognize the bird species, through a classification process. Afterwards, by analyzing data which have been collected by a central base, the network structure derived from detection fields of sensors, allows our algorithm to propose an estimate of singing birds in the habitat. This paper details the counting algorithm which uses graph theory and audio inputs comparison. Finally, we demonstrate our scheme efficiency through experimentations.
Local Computer Networks (LCN)
Clearwater, United States

hal-00786165
https://hal.archives-ouvertes.fr/hal-00786165
DOI : 10.1109/LCNW.2012.6424060

Éditeur(s) : HAL CCSD ACM
Résumé : International audience
Applications over wireless sensor networks are growing quickly. Traditional software development tools are not well adapted to this technology. In particular, adequate testing methodologies are required. Many issues have not been formally addressed as energy-conservation, congestion control, reliability data dissemination, security. In this paper, we present a pragmatic approach to detect some kind of anomalies based on defined scenarios on wireless sensor networks. A scenario is considered as a set of events which should happen on the network in an ordered way. We discuss a formal architecture able to perform these scenarios over the wireless sensor networks and to raise alarms if necessary. This methodology has been implemented on a prototype and has been experimented with various examples. This contribution is a first attempt for a formal testing methodology for wireless sensor networks.
Proceedings of the 6th ACM workshop on QoS and security for wireless and mobile networks

Droits : info:eu-repo/semantics/OpenAccess
hal-00596118
https://hal.archives-ouvertes.fr/hal-00596118
https://hal.archives-ouvertes.fr/hal-00596118/document
https://hal.archives-ouvertes.fr/hal-00596118/file/Q2sWinet_10.pdf
DOI : 10.1145/1868630.1868641

Éditeur(s) : HAL CCSD
Résumé : National audience
Designing systems able to interact with students in a natural manner is a complex and far from solved problem. A key aspect of natural interaction is the ability to understand and appropriately respond to human emotions. This paper details our response to the continuous Audio/Visual Emotion Challenge (AVEC'12) whose goal is to predict four affective signals describing human emotions. The proposed method uses Fourier spectra to extract multi-scale dynamic descriptions of signals characterizing face appearance, head movements and voice. We perform a kernel regression with very few representative samples selected via a supervised weighted-distance-based clustering, that leads to a high generalization power. We also propose a particularly fast regressor-level fusion framework to merge systems based on different modalities. Experiments have proven the efficiency of each key point of the proposed method and our results on challenge data were the highest among 10 international research teams.
IHM'14, 26e conférence francophone sur l'Interaction Homme-Machine
Lille, France

hal-01089628
https://hal.archives-ouvertes.fr/hal-01089628
https://hal.archives-ouvertes.fr/hal-01089628/document
https://hal.archives-ouvertes.fr/hal-01089628/file/p44-nicole.pdf

Éditeur(s) : HAL CCSD
Résumé : International audience
We present a study on the optimasation of the number of messages for medical diagnosis over wireless sensors networks (WSNs). We suggest distributed algorithms to diagnosis some diseases while monitoring a patient. Then, we compare the number of messages needed to make a decision between the algorithms. In our approach, each sensor will make some computations in order to participate to the decision. Indeed, some computation and collaboration tasks are performed over the sensors and the final diagnosis is performed in a distributed way. During the experimentation of our algorithms, we used a real data flow extracted from hospital monitoring.
Proceedings of the 14th IEEE Symposium on Computers and Communications (ISCC 2009), July 5-8, Sousse, Tunisia
Sousse, Tunisia

hal-00519593
https://hal.archives-ouvertes.fr/hal-00519593

Éditeur(s) : HAL CCSD
Résumé : International audience
Cette proposition de communication a pour objet la présentation d'une démarche d'évaluation empirique (Tricot et al, 2003) d'un test d'implantation de compteurs électriques communicants auprès d'un échantillon de foyers martiniquais. Ces clients ont été sélectionnés dans le cadre d'une recherche expérimentale menée dans l'optique d'un déploiement ultérieur de cette nouvelle technologie sur l'ensemble du territoire de la Martinique. La recherche, toujours en cours, s'organise sur deux phases. La première correspond à l'étape concomitante à l'installation du compteur au domicile des personnes sélectionnées pour l'expérimentation. Elle vise à étudier les conditions d'acceptabilité du compteur communicant. La deuxième phase quant à elle s'intéresse à l'acceptation du compteur et du portail sur lequel les consommateurs peuvent visionner leurs consommations, suivre des objectifs et recevoir des conseils.
Les écosystèmes numériques et la démocratisation informationnelle : Intelligence collective, Développement durable, Interculturalité, Transfert de connaissances
Schoelcher, France

Droits : info:eu-repo/semantics/OpenAccess
hal-01258312
https://hal.univ-antilles.fr/hal-01258312
https://hal.univ-antilles.fr/hal-01258312/document
https://hal.univ-antilles.fr/hal-01258312/file/Nicolas%20LAMIC.pdf

Éditeur(s) : HAL CCSD
Résumé : International audience
Res. Popul. Ecol.

hal-00690135
https://hal.archives-ouvertes.fr/hal-00690135

Éditeur(s) : HAL CCSD
Résumé : International audience
More and more animal species are endangered every day on earth. In order to study their adaptation to world and climate change and their chances of survival, numerous initiatives have been taken that mostly need human intrusion into animal communities. Today mobile devices enable researchers to go beyond this limit. In this paper, we propose an original solution that consists on a new framework for detecting individual songs in a bird population and identifying remotely by this way their collective behavior in movements without human interaction. Movement patterns are elicited by analyzing data collected via wireless sensors fitted with microphone. Whereas similar methods use mobile devices fitted on some specimens, we rather propose fixed sensors. We demonstrate that this solution provides a good answer to technical constraints assessed by the context and we discuss results of experimental simulations that allow to define optimized parameters for the architecture to be set up on the ground. Experimental results are provided and show the relative impact of different parameters such as the number of sensors or the population size on the detection rate.
Proceedings of the 8th International Conference on Advances in Mobile Computing and Multimedia (MOMM 2010)

hal-00601641
https://hal.archives-ouvertes.fr/hal-00601641

Éditeur(s) : HAL CCSD Elsevier
Résumé : International audience
In this paper, we present an original and formal framework, the D2SNet model designed to combine both the social network evolution and the diffusion dynamics among individuals. We have conducted experiments on three social networks that show identical characteristics as real social networks. A formal definition of the model is provided and we describe its implementation in a simulation tool. We represent human behaviors and information dissemination strategies by standard and synthetic scheme. In a first step, we study the impact of network growing strategies only and we highlight important parameters such as the evolution speed and mainly the kind of strategies that favour or not the spread. Then we study a more complete evolution strategy that involves link creation and deletion. We provide a deep analysis on the impact of each parameter such as evolution speed, creation and deletion probabilities and dynamic human behaviors on the diffusion amplitude and coverage. Our study gives a novel and useful insight in the diffusion process in a dynamic context.
ISSN: 0747-5632

hal-00786164
https://hal.archives-ouvertes.fr/hal-00786164
DOI : 10.1016/j.chb.2012.06.004

Éditeur(s) : HAL CCSD
Résumé : International audience
In this work, we focus on the issue of diffusion in dynamic networks. We begin by proposing a generic framework that merges two essential aspects of the problem: diffusion and network dynamics. Then, our framework is used for comparing effects of two aspects of the human behavior, sociability and network dynamics. On the one hand the dynamics of the network is related to the movements of individuals in a social space that lead ephemeral social proximity contacts. On the other hand the diffusion phenomenon is studied through the epidemic paradigm. The results obtained by simulations provide original insight about how and why the "social dynamics" of individuals, related to the proximity in a social space and its evolutions, influences diffusion phenomena through a population.
International Conference on Advances in Social Networks Analysis and Mining
Istanbul, Turkey

hal-00786162
https://hal.archives-ouvertes.fr/hal-00786162
DOI : 10.1109/ASONAM.2012.104

Éditeur(s) : HAL CCSD
Résumé : International audience
The increasing development of world trade has promoted the spread of diseases. Recent events, like the H1N1 outbreak and spread, have confirmed this tendency. Everyone could observe that this kind of infectious disease often has the ability to cross countries borders and spread rapidly. Preventing, monitoring and controlling the outbreak of these diseases have appeared to be a public health problem of primary importance for years. However, although numerous works have been conducted in order to understand and study epidemics, this subject remains a topical issue because of the complexity of the phenomena. In this paper, we present new opportunities offered by the field of social networks for understanding the spread of infectious diseases. This work focuses both on techniques already used in epidemiology, and very recent works in social network analysis that open new perspectives. We give an overview of methods currently used to model and study the spread of diseases and future directions that the social network approach allows to glimpse.
2011 Fifth International Conference on Research Challenges in Information Science (RCIS)
Gosier, Guadeloupe

hal-00624364
https://hal.archives-ouvertes.fr/hal-00624364
DOI : 10.1109/RCIS.2011.6006866

Éditeur(s) : HAL CCSD
Résumé : International audience
Res. Popul. Ecol.

hal-00690125
https://hal.archives-ouvertes.fr/hal-00690125

Éditeur(s) : HAL CCSD
Résumé : International audience
The aim of this study is to suggest an automated technique for distributed decision. It is based on protocol population deployed on Wireless Sensor Networks (WSN). This approach is able to help medical staff to detect earlier than usual some diseases on patients. It could be easily adapted for many other fields (fire monitoring, environment supervising, ...) In this context, a patient is equipped with health parameter transducers which are connected to a WSN. This WSN will perform some computations and raise an alarm when some diseases are suspected. The algorithm is distributed, i.e., the decision may be done by any mote dealing with the disease detection. The experimentations show promising results.
a venir
Denver, Colorado, United States

hal-00519597
https://hal.archives-ouvertes.fr/hal-00519597