Target tracking in the recommender space: Toward a new recommender system based on Kalman filtering

In this paper, we propose a new approach for recommender systems based on target tracking by Kalman filtering. We assume that users and their seen resources are vectors in the multidimensional space of the categories of the resources. Knowing this space, we propose an algorithm based on a Kalman filter to track users and to predict the best prediction of their future position in the recommendation space

ODAS: Open embeddeD Audition System

Artificial audition aims at providing hearing capabilities to machines, computers and robots. Existing frameworks in robot audition offer interesting sound source localization, tracking and separation performance, but involve a significant amount of computations that limit their use on robots with embedded computing capabilities. This paper presents ODAS, the Open embeddeD Audition System framework, which includes strategies to reduce the computational load and perform robot audition tasks on low-cost embedded computing systems. It presents key features of ODAS, along with cases illustrating its uses in different robots and artificial audition applications

StarPU: a Runtime System for Scheduling Tasks over Accelerator-Based Multicore Machines

Multicore machines equipped with accelerators are becoming increasingly popular. The TOP500-leading RoadRunner machine is probably the most famous example of a parallel computer mixing IBM Cell Broadband Engines and AMD opteron processors. Other architectures, featuring GPU accelerators, are expected to appear in the near future. To fully tap into the potential of these hybrid machines, pure offloading approaches, in which the main core of the application runs on regular processors and offloads specific parts on accelerators, are not sufficient. The real challenge is to build systems where the application would permanently spread across the entire machine, that is, where parallel tasks would be dynamically scheduled over the full set of available processing units. To face this challenge, we propose a new runtime system capable of scheduling tasks over heterogeneous, accelerator-based machines. Our system features a software virtual shared memory that provides a weak consistency model. The system keeps track of data copies within accelerator embedded-memories and features a data-prefetching engine. Such facilities, together with a database of self-tuned per-task performance models, can be used to greatly improve the quality of scheduling policies in this context. We demonstrate the relevance of our approach by benchmarking various parallel numerical kernel implementations over our runtime system. We obtain significant speedups and a very high efficiency on various typical workloads over multicore machines equipped with multiple accelerators

Exploitation des ressources minières et problématique de la croissance et du développement en Afrique centrale

Cet article examine l'interaction entre l'exploitation des ressources minières, la croissance et le développement en utilisant un panel de six pays en développement de la région du bassin du Congo et des données annuelles pour la période 1990-2015. En utilisant un modèle d'équations simultanées à deux équations de la croissance et du développement et trois mesures alternatives de l'exploitation minérales, nos résultats suggèrent que l'exploitation des ressources minières a une influence positive sur la croissance économique et négative sur le développement humain. Nous constatons également que si la croissance économique apporte une contribution positive au développement, l'inverse n'est pas vrai dans la mesure où, plus une nation est sous-développée, plus son taux de croissance est rapide

Synthèse solvothermale supercritique de nanostructures d'oxyde de cérium

La synthèse contrôlée de nanoparticules constitue toujours un enjeu majeur en science des matériaux (pour des applications telles que la catalyse par exemple) et la voie fluides supercritiques permet de répondre en partie à ce challenge. Dans ce contexte, ce travail de thèse a été consacré à l élaboration de nanostructures d oxyde de cérium aux caractéristiques contrôlées (tailles, morphologies, propriétés de surface, ) par synthèse solvothermale supercritique. A partir de l étude de l influence des paramètres opératoires du procédé sur les caractéristiques physico-chimiques des nanomatériaux obtenus, des mécanismes de formation et de fonctionnalisation de surface ont été proposés. D un point de vue applicatif, ces poudres ont été caractérisées qualitativement et quantitativement vis-à-vis de la capture réversible du CO2.The controlled synthesis of nanoparticles remains of key importance in materials science (for applications such as catalysis for instance) and supercritical fluids processes allow partially addressing this challenge. In this context, this PhD work has been dedicated to the synthesis of cerium oxide nanostructures with controlled characteristics (size, morphology, surface property, ) by supercritical solvothermal approaches. Through the study of the influence of process operating parameters on physicochemical characteristics of the synthesized materials, formation and surface modification mechanisms have been proposed. From an applicative point of view, powders have been submitted to qualitative and quantitative characterization towards CO2 capture.BORDEAUX1-Bib.electronique (335229901) / SudocSudocFranceF

Poursuite de cibles dans l'espace de recommandation - vers un nouveau système de recommandation basé sur le filtrage de Kalman

International audienceIn this paper, we propose a new approach for recommender systems based on target tracking by Kalman filtering. We assume that users and their consumptions of television programs are vectors in the multidimensional space of the categories of the resources. Knowing this space, we propose an algorithm based on a Kalman filter to track the user's profile and to foresee the best prediction of their future position in the recommendation space. From this prediction, we build a recommendation of contents

Modeling of Hardware and Software for specifying Hardware Abstraction Layers

International audienceIn this paper we describe a practical approach for modeling low level interfaces between software and hardware parts based on SysML operations. This method is intended to be applied for the development of drivers involved on what is classically called the “hardware abstraction layer” or the “basic software” which provide high level services for resources management on the top of a bare hardware platform. It is also an enabler for co-design processes since the design of hardware and software can be decoupled. In addition this approach is compatible with virtual prototyping technologies such as SystemC/TLM. An application to a simple a study case is provided for illustration purpose

Improvement in pain-related quality of life in patients with hemophilia A treated with rFVIIIFc individualized prophylaxis: post hoc analysis from the A-LONG study

Background: Pain, a common symptom of hemophilia, begins early in life primarily due to joint bleeding. Recurrent bleeding adversely affects patients’ pain-related physical functioning, which can negatively impact their quality of life (QoL). Objective: Post hoc analysis of data from the A-LONG study (NCT01181128), to assess change over time in pain-related QoL in patients with severe hemophilia A treated prophylactically with recombinant factor VIII Fc fusion protein (rFVIIIFc). Methods: Patients who completed Haem-A-QoL (17–65 years) and EQ-5D-3L (⩾12–65 years) questionnaires at baseline (BL) and end of study (EoS). Individual-level changes were assessed using three pain-related items of the Haem-A-QoL ‘Physical Health’ domain and the pain/discomfort item of EQ-5D-3L. Distributions of responses (EoS versus BL) were compared using McNemar’s test. Results: A significantly greater proportion of patients reported they did not experience painful swellings (n = 87; 66% versus 46%, p < 0.01) or pain in their joints (n = 89; 42% versus 27%; p < 0.05) at EoS versus BL. The proportion of patients who did not find it painful to move numerically increased at EoS versus BL (n = 86; 47% versus 38%; p = NS). A significantly greater proportion of patients reported no pain/discomfort at EoS versus BL (n = 116; 45% versus 34%; p < 0.05). Conclusion: This study reports the effect of FVIII prophylaxis on patient-reported measures of pain over time in patients with severe hemophilia A. The results of this post hoc analysis showed improvements in pain from BL to EoS in patients receiving rFVIIIFc individualized prophylaxis indicating effective pain management, a key component of patient care