Quels sont les effets de l'anesthésie loco-régionale sur la progression et la prise en charge de la première phase du travail et comment influencent-ils le vécu des parturientes?: travail de Bachelor

L'anesthésie loco-régionale est une pratique désormais courante de la gestion de la douleur durant l'accouchement. Cette revue de la littérature a pour but d'évaluer ses effets sur la progression et la durée de la dilatation dans la première phase du travail ainsi que les éventuelles prises en charge spécifiques potentiellement induites par l'anesthésie loco-régionale. Dans un deuxième temps, cette revue de la littérature s'attache à mettre en lumière le vécu de l'accouchement par les parturientes en lien à l'anesthésie loco-régionale

Queues in ski resort graphs: the Ski-Optim Model

Ponencias, comunicaciones y pósters presentados en el 17th AGILE Conference on Geographic Information Science "Connecting a Digital Europe through Location and Place", celebrado en la Universitat Jaume I del 3 al 6 de junio de 2014.It is rather unknown how skiers move inside ski areas. However, new data collection systems, such as RFID chips on ski passes (which allow counting skiers at the gates of the cableways), can be used to analyse the movement of skiers in the cableways network and in the ski runs graph. This will show how queues arise at the cableways departures and how crowds are formed on the ski runs. This short paper is reporting a multi-agent simulation approach called Ski-Optim to study graphs and queues arising in a ski area. A software simulation was experimented on the ski area of Verbier in Switzerland

A new approach for robust road marking detection and tracking applied to multi-lane estimation

International audienceIn this paper, an original and inovative algorithm for multi-lane detection and estimation is proposed. Based on a three-step process, (1) road primitives extraction, (2) road markings detection and tracking, (3) lanes detection and estimation. This algorithm combines several advantages at each processing level and is quite robust to the extraction method and more specifically to the choice of the extraction threshold. The detection step is so efficient, by using robust poly-fitting based on the point intensity of extracted points, that correction step is almost not necessary anymore. This approach has been used in several project in real condition and its performances have been evaluated with the sensor data generated from SiVIC platform. This validation stage has been done with more than 2500 simulated and realistic images. . Results are very encouraging : more than 95% of marking lines are detected for less than 2% of false alarm, with 3 cm accuracy at a range of 60 m

L’impact de l’animalisation sur l’orientation à la dominance sociale et sur la décision à une tâche de dilemme moral

L’animalisation, stratégie souvent utilisée dans les propagandes, consiste à attribuer une essence animale aux membres d’un groupe (Haslam, 2006). Elle sert à inférioriser ces membres afin de s’en dissocier. En d’autres termes, animaliser les membres d’un groupe revient à les placer dans une hiérarchie des espèces dans laquelle l’être humain est supérieur à l’animal, de la même manière que les individus qui ont un plus haut niveau d’orientation à la dominance sociale (SDO) insèrent les groupes sociaux dans une hiérarchie dans laquelle les groupes dominants sont supérieurs aux groupes subordonnés (Sidanius & Pratto, 1999)..

Adaptative perception architecture for multi-lane detection and tracking

Cette thèse s'inscrit dans le cadre de la détection de marquages pour un véhicule autonome. Notre objectif est la réalisation d'un algorithme capable de détecter les différents marquages routiers liés aux voies de circulation à l'aide d'une caméra. Pour ce faire, nous avons proposé une approche fondée sur un système multi-agents avec des agents réactifs. Cette approche permet de faire évoluer les agents dans la direction des zones ayant des similitudes avec un marquage routier ainsi qu'une forte intensité lumineuse. Cette approche procède par propagation du bas vers le haut de l'image à l'inverse de la majorité des méthodes rencontrées dans la littérature. La trace de chaque agent est ensuite lissée grâce à des splines de lissages cubiques pondérées par les niveaux de confiance associés aux pixels parcourus par ces derniers. On obtient ainsi les estimations des marquages routiers. Une seconde partie du travail consiste à identifier les tirets de marquages routiers et à les suivre temporellement afin de rendre plus robuste le processus de détection ainsi que de catégoriser les marquages routiers. Cette méthode nous permet ainsi de supprimer toutes les parties incohérentes des traces des agents ainsi que de détecter et de réagir en conséquence aux décrochages de l'agent au marquage. Enfin, des expérimentations sur des données réelles et artificielles ont été réalisées afin de comparer l'approche proposée avec des travaux de recherche et des prototypes industriels. Ces expérimentations prouvent l'efficacité des méthodes par propagation en général, et de l'approche proposée en particulier.This thesis is part of the road marking detection for autonomous vehicle.Our objective is the realisation of an algorithm that detects road markings linked to lanes with a video camera. In order to achieve this, we proposed an approach based on a multi-agents system, with active agents. In this system, agents evolve in the direction of bright areas with similarities to a road marking. This approach proceeds by the propagation from bottom to top of the image in contrast to the majority of methods found in literature.The track of each agent is then (smoothed) (fitted) by smoothing cubic splines weighted by the confidence levels associated to the pixels traveled (by them). That way, the estimation of road markings is obtained for each lane. A second part of the work is to identify lane markers of each line and to track them over time in order to improve the robustness of the detection process and to categorize the road markings. This method allows us to remove all incoherent parts of the agents tracks and to detect and to react accordingly when the agent goes out of the road line marking. Finally, experiments on real and artificial data were conducted to compare the proposed approach with research algorithm and industrial prototypes. These experiments demonstrate the effectiveness of propagation methods in general and also our specific approach

Validation de la version française de la Behavior and Instructional Management Scale

La Behavior and Instructional Management Scale (BIMS) développée par Martin et Sass (2010) permet de mesurer les pratiques et les croyances des enseignants en gestion de la classe. Elle est composée de deux dimensions théoriques : la gestion de l’enseignement et la gestion du comportement des élèves. Martin et Sass (2010) ont validé la version anglaise de cet instrument de mesure. L’objectif de cet article est de présenter la chronologie de son évolution, puis de valider sa version française auprès de 338 enseignants qui se forment à l’enseignement au primaire et au secondaire. Les résultats, qui sont discutés en termes de perspectives de recherche, montrent que la traduction française de la BIMS obtient des indicateurs de qualités psychométriques proches de ceux rapportés par Martin et Sass (2010).Martin and Sass (2010) have construct-validated the Behavior and Instructional Management Scale (BIMS), an instrument that facilitates assessment of teachers’ beliefs and practices in classroom management. This scale is subdivided into two independent theoretical constructs: instructional management and behavior management. Our aim is to report on the evolution of the scale and to validate its French translated version. In this perspective, we collected data from a sample containing 338 pre-service elementary and secondary school graduating teachers. Results show that the French translated version of the BIMS obtains psychometric properties that are close to those observed by Martin and Sass (2010). These results are discussed in terms of research perspectives.A Behavior and Instructional Management Scale (BIMS) desenvolvida por Martin e Sass (2010) permite medir as práticas e as crenças dos professores na gestão da sala de aula. Trata-se de uma escala composta por duas dimensões teóricas: a gestão do ensino e a gestão dos comportamento dos alunos. Martin e Sass (2010) validaram a versão anglófona deste instrumento de medida. O objetivo deste artigo é validar a sua versão francesa, apresentando também a cronologia da sua evolução. Neste sentido, recolheram-se dados de uma amostra de 338 professores em formação inicial para o ensino básico e secundário. Os resultados, que são discutidos em termos de perspectivas de investigação, mostram que a tradução francesa do BIMS obtém indicadores com qualidades psicométricas próximas das observadas por Martin e Sass (2010)

Simulated annealing-optimized trajectory planning within non-collision nominal intervals for highway autonomous driving

This article considers the problem of near-optimal trajectory generation for autonomous vehicles on highways. The goal is to select a predictive reference trajectory in the free evolution space, while avoiding both generating a pre-calculated set of candidate trajectories and decoupling path and velocity optimizations. Moreover, this trajectory aims at optimizing a decision process based on multi-criteria functions, which are not straightforward to design and can have a blackbox formulation. The main idea of this article is to use the decision evaluation function in the trajectory generator with a Simulated Annealing (SA) approach. The parameters of a sigmoid trajectory are optimized within Non-Collision Nominal Intervals (NCNI), which are defined as collision-free intervals under nominal conditions using a velocity-space representation

Mechanical properties of 3D tumor spheroids measured by AFM

International audienc

Generator of Road Marking Textures and associated Ground Truth Applied to the evaluation of road marking detection

Abstract—To increase driving safety, many researcher works on Advanced Driving Assistance Systems (ADAS) have been developed and embedded in real prototypes during the last decades. For some of these applications like Lane Keeping System, lane perception is an essential task. For others applications like Emergency Brake Assist, lane perception modules provide useful information helping the system to select only the most dangerous obstacles. Proposed solutions to perform lane detection become more and more elaborated, however no generic solution has been proposed to calculate performances of these algorithms. Lots of solutions have been proposed to perform this lane detection. However, no generic solution has actually been proposed to quantify the quality of such applications. It is appearing that this evaluation task is now very important and critical. Most of the existing evaluation stages can be classified in two main parts. In the first case, evaluation is based on natural images databases with ground truth of road marking and/or geometrical truth of lanes. In the second case, evaluation uses virtual data and simulated images. The first one is relatively hard to perform because it is based on manual labeling of natural images. The second one has automatic labeling clustering but a realistic virtual environment is required and more precisely both realistic road bitumen and road marking textures. This paper presents an efficient solution in order to simulate roads environment for the evaluation stage of road marking detection algorithms. Moreover, a powerful tool dedicated to the road marking texture generation is proposed. It takes into account both imperfection and wear of the road marking. A virtual database using this tool will be applied on a set of road marking extractor to validate the evaluation process with our virtual approach. I I