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    11652 research outputs found

    RRFAE-Net: Robust RGB-D Facial Age Estimation Network

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    Etude des effets du travail en milieu aquatique sur la mobilité dorsale de chevaux atteints de dorsalgie – résultats préliminaires

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    International audienceCe résumé présente les résultats préliminaires d'une étude des effets de la nage sur l'évolution de la mobilité dorsale de chevaux atteints de dorsalgie

    A Novel Technological Review on Fast Charging Infrastructure for Electrical Vehicles: Challenges, Solutions, and Future Research Directions

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    International audienceNowadays, the use of electric vehicles (EVs) is increasing as the charging infrastructure for these EVs is necessary. The highly rapid loading technology can charge cars and looks like refilling fuel in vehicles. This article covers the review of sophisticated loading infrastructure, several topologies of converters, and quick-charging technologies to meet future requirements. Specifically designed for AC/DC front-end stage and non-isolated and isolated DC/DC converters are suitable for Fast Charging Stations (FCS) and their applications that meet automotive battery isolation requirements. In addition, evaluate the benefits of converting the medium voltage to low voltage at the FCS by substituting a Solid-State Transformer (SST). Also, this paper presents a topological survey of available charging stations. The performance of various topologies of charging stations is discussed based on grid support, modularity, power density, and other factors

    Development of a toolbox suite to analyse the kinematics of horse limbs during swimming

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    International audienceSwimming has been used for over four decades to help maintain a good musculature in horses with tendon and ligamentinjuries. Despite the clinical advantages of swimming pool training, which reduces stress on the joints, the biomechanics of horse swimming is still not fully understood. In this study, two measurement systems are used to characterize the swimming of 4 horses (to date). The first is a motion capture system consisting of 6 underwater cameras and 28 markers on the horse (7 for each limb), allowing to calculate the joint angles from the shoulder and hip until the 4 fetlocks during the swim. The second is a set of 9 inertial measurement units (IMUs) placed on the head, the sternum, the withers, the 18th thoracic vertebrae, the tuber sacrale and the 4 cannons, which follow the translational movement and angular displacement of these body parts. Four of those IMUs were placed with skin markers on the cannons, providing a basis for comparing the two methods. The 3D data produced by the motion capture system allow to compute the different joint movements on 96 records (to date). Preliminary results (on a single record to date) give the following joint range of motion: shoulder: 100-125°, hip: 60-120°, elbow and stifle: 50-150°, carpus: 50-200°, tarsus: 40-170°, front and hind fetlock:100-180°. In conclusion, this study is one of the first to validate the technological feasibility of 3D motion capture of horse swimming

    Ricochet Robots with Infinite Horizontal Board is Turing-complete

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    International audienceThis paper investigates the Ricochet Robots game problem from a complexity standpoint. The problem consists of moving robots in a rectangular square-tiled board, from initial tiles to reach specific target tiles. A robot can only move vertically or horizontally and when it starts to move in a given direction, the robot follows this direction, until being blocked by a wall or another robot. This paper proves that the corresponding decision problem to Ricochet Robots is Turing-complete for endless board game and an infinite number of robots. A reduction from a universal Turing machine to Ricochet Robots is exhibited

    A Personalized Recommender System Based-on Knowledge Graph Embeddings

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    International audienceKnowledge graphs have proven to be effective for modeling entities and their relationships through the use of ontologies. The recent emergence in interest for using knowledge graphs as a form of information modeling has led to their increased adoption in recommender systems. By incorporating users and items into the knowledge graph, these systems can better capture the implicit connections between them and provide more accurate recommendations. In this paper, we investigate and propose the construction of a personalized recommender system via knowledge graphs embedding applied to the vehicle purchase/sale domain. The results of our experimentation demonstrate the efficacy of the proposed method in providing relevant recommendations that are consistent with individual users

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