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A Multi-Level Multi-Agent Simulation Framework in Animal Epidemiology
No full textInternational audienceIn order to recommend better control measures in public or animal health, epidemiologists incorporate ever-finer details in their models, from individual diversity to public policies, which often involve several observation scales. Due to the variety of modelling paradigms, it becomes more and more difficult to compare hypotheses and outcomes, all the more that the increased complexity of simulation programs is not yet counterbalanced by design principles nor by software engineering methods. We propose in this paper to use the multi-level agent-based paradigm to integrate existing methods within a common interface, provide a separation between concerns and reduce the part of code devoted to model designers. We illustrate our approach with an application to the Q fever disease in cattle
Aging, Human Capital, and Productivity in France: A Generational Accounting Perspective
No full textInternational audienceThe aim of this paper is to highlight the potential productivity gains resulting from improvements in the (i) educational attainment and (ii) health status of the working‐age population. For that purpose, we develop a Generational Accounting Model applied to the French economy. Using the conventional methodology of generational accounting, we first estimate the adjustments that will be necessary to ensure the sustainability of French fiscal policy in the long term under the assumption that individual taxes and transfers grow at the same rate as labor productivity. However, this assumption does not account for the explicit determinants of individual productivity. Therefore, we then explain how productivity growth is partly due to the French population's skill level and its health level, which is approximated by the survival rate of adults. We estimate that the increased educational attainment and improved adult survival rate in France generate potentially important productivity gains that could significantly challenge the weight of the burden induced by aging. Therefore, we estimate that this change could reduce the tax burden bequeathed to future generations by 79 percent. Our results are robust to the main assumptions
Unknown Input Observer design for fault sensor estimation applied to Induction Machine
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LPV unknown input observer based fault sensor diagnosis for vehicle lateral dynamics
No full textInternational audienceThis study deals with a fault sensor estimation and state variables estimation based on Unknown Input Observer for automated steering vehicle. The vehicle lateral dynamics is represented by a fourth degree of freedom model. This nonlinear model is transformed into linear parameter varying model where the longitudinal velocity is considered as parameter varying. Then, an Unknown Input Observer is designed in order to reconstruct the states variables in presence of sensor faults. Based on Lyapunov theory, the observer gains are computed using Linear Matrix Inequalities. Simulation results are given to show the effectiveness of the proposed approach to detect sensor faults and to discriminate the disturbance
Performances comparison of three fuzzy logic peak power trackers for a photovoltaic system
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Distributed consensus tracking for the fractional-order multi-agent systems based on the sliding mode control method
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DE-kupl: exhaustive capture of biological variation in RNA-seq data through k-mer decomposition
No full textInternational audienceWe introduce a k-mer-based computational protocol, DE-kupl, for capturing local RNA variation in a set of RNA-seq libraries, independently of a reference genome or transcriptome. DE-kupl extracts all k-mers with differential abundance directly from the raw data files. This enables the retrieval of virtually all variation present in an RNA-seq data set. This variation is subsequently assigned to biological events or entities such as differential long non-coding RNAs, splice and polyadenylation variants, introns, repeats, editing or mutation events, and exogenous RNA. Applying DE-kupl to human RNA-seq data sets identified multiple types of novel events, reproducibly across independent RNA-seq experiments
Une approche semi-automatique pour l’extraction d’informations liées aux itinéraires culturels à partir des réseaux sociaux : cas de la Via Francigena20ème Conférence Spatial Analysis and GEOmatics (SAGEO'2016), Dec 2016, Nice, France. 2016
No full textInternational audienceAs part of the analysis of cultural routes, complex object of the symbolic, social and territorial point of view, the project Digital Route focuses onthe analysis of digital content available online for the development of the Via Francigena route. In this article, we propose a semi-automatic methodology for the extraction of spatial information related to Via Francigena from Instagram data.Dans le cadre de l’analyse des itinéraires culturels, objet complexe du point de vue territorial, symbolique et social, le projet Itinéraire Numérique s’attache à analyser les contenus numériques disponibles en ligne pour la valorisation de l’itinéraire Via Francigena. Dans cet article, nous proposons une méthodologie semiautomatique pour l’extraction d’information spatiale liées à la Via Francigena à partir des données Instagram
Covariance for time series on Lie groups applied to climbing motion analysis
No full textInternational audienceThis article describe a method to measure a covariance matrix between two SO(3) based signals. For each one, the mean value is computed. After applying the log map to project each signal in the tangent space of its mean, they are both translated to the same tangent space. A classic covariance matrix can the be determined. Using IMUs attached to the hip and the neck of an indoor climber, it can be used to create an indicator of body kinematics coordination. Studying such coordinations might be useful for determining the climber skills.Cet article présente une méthode pour calculer une matrice de covariance entre deux signaux à valeur sur SO(3). Pour chacun, sa moyenne est calculée. Après avoir projeté chaque signal dans le plan tangent de sa moyenne via l'application log, chaque projection est translatée pour être dans le même plan tangent. Une matrice de covariance classique peut alors être calculée. Cette mesure peut alors être utilisée pour l'étude du mouvement humain. En attachant des capteurs inertiels au cou et au bassin d'un grimpeur, il est possible d'estimer la coordination du roulis de différentes parties de son corps, indicateur de performance du grimpeur
