368 research outputs found

    Analyzing sports commentary in order to automatically recognize events and extract insights

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    In this paper, we carefully investigate how we can use multiple different Natural Language Processing techniques and methods in order to automatically recognize the main actions in sports events. We aim to extract insights by analyzing live sport commentaries from different sources and by classifying these major actions into different categories. We also study if sentiment analysis could help detect these main actions

    Analytical Modelling of No-Load Density in Surface Mounted Permanent Magnet Motor

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    International audienceIn this paper, the authors present an analytical calculation in order to predict the no-load flux density in surface mounted synchronous permanent magnet machines. This analytical model is based on two-dimensional analysis in polar coordinates and has been developed for both parallel and radial magnetization of the magnets. The no-load magnetic vector potential is established by solving Laplace/Poisson's equations using the Fourier's series and the method of separating variables. Two circular regions are considered: the Region.I, which is the air-gap modified by Carter's coefficient, and the Region.II, which includes the magnets and the air-spaces between magnets. The analytical results are compared with the ones obtained by a numerical analysis using the finite-element method (FEM)

    Avoidance High-Frequency Chattering Second-Order Sliding Mode Controller Design: Buck Converter in Wind Power System

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    This paper mainly discussed a method of high-frequency second-order sliding mode control for Buck converter in wind power systems. Because the wind energy of nature is always unpredictable and intermittent, the robust control such as sliding mode control is adopted in past literatures. In order to remove the high frequency chattering problem when the traditional sliding mode achieves convergence, the second order sliding mode algorithm is reviewed firstly. Meanwhile, the Buck converter taken as a step-down converter is usually adopted in wind power system, because of its simple structure and good linearity. Under those conditions, the second order sliding mode controller is designed based on Buck converter, especially in high-power wind generation system. The experimental results illustrate that the theory of second order sliding mode can be used in high-power Buck converter. It provides one novel avoidance high frequency chattering method for the technology development of new energy generation system

    Design of a High-Speed Permanent Magnet Motor for the Drive of a Fuel Cell Air-Compressor

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    International audienceThis paper deals with the design of a 500 W permanent magnet (PM) machine used to drive the aircompressor of a 5 kW fuel cell (FC). The authors focus on the optimization of the motor efficiency in order to minimize the energy consumption of the air-compressor which can represent up to 30 % of the electrical energy delivered by the FC. The authors justify the use of a PM machine by the fact that, by using rare earth Nd-Fe-B magnets, such a type of machine makes it possible to reach a high efficiency as well as a high power density. The optimized machine presented in this paper have theoretically more than 25 % of its working area with an efficiency higher than 90 % and the efficiency at the rated point equals to 92 %. Those promising results of computation are confirmed by the first experimental results obtained with a prototype

    Maximization of No-Load Density in Surface Mounted Permanent Magnet Motor

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    International audienceAn exact two-dimensional (2-D) analytical model (AM) of slotless permanent magnet (PM) machines in polar coordinates is used to determine the analytical equations of the air-gap flux density at no-load operation. The authors show that, for a radial magnetization, there is an optimal magnet thickness which permits to maximize the noload flux density. In order to use easily and directly this optimal value during the design of surface mounted PM motors (SMPMM), the authors propose an original analytical expression of this maximum magnet thickness that have been obtained by interpolation of the values given by several analytical computations. This interpolation function could be applied to SMPMM having a parallel or radial magnetization direction

    On the detection of elderly equilibrium degradation using multivariate-EMD

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    International audienceThe aim of this paper is to provide a new methodology for the detection of an increased risk of falling in community-dwelling elderly. A new extended method of the empirical mode decomposition (EMD) called multivariate-EMD is employed in the proposed solution. This method will be mainly used to analyze the stabilogram center of pressure (COP) time series. In this paper, we describe also the remote non-invasive assessment method, which is suitable for static and dynamic balance. Balance was assessed using a miniature force plate, while gait was assessed using wireless sensors placed in a corridor of the home. The experimental results show the effectiveness of this indicator to identify the differences in standing posture between different groups of population

    Coordinated Home Energy Management in Community Microgrids with Energy Sharing Among Smart Homes

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    International audienceThis paper presents a coordination mechanism for smart homes in community microgrids (smart neighborhoods) whether photovoltaics (PV), home battery storage and electric vehicles (EV) are available. The objective of the proposed method is to reduce the electricity cost of the users, as well as the aggregated peak load of the area by establishing an energy sharing ability among neighbors. A decentralized control algorithm deployed by the smart homes is used for battery control and appliance scheduling. It is assumed that the users are the owners of these resources and that they are selfish decision-makers who focus on increasing own benefit. For the neighborhood, a dynamic price model is used, where the price is associated to the aggregated consumption of the neighborhood area. Numerical results show that proposed coordination mechanism with energy sharing provides benefits for both the users and the utility
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