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We address the challenge of learning good video representations by explicitly modeling the relationship between visual concepts in time space. We propose a novel Temporal Preserving Recurrent Neural Network (TPRNN) that extracts and encodes visual dynamics with frame-level features as input. The proposed network architecture captures temporal dynamics by keeping track of the ordinal relationship of...
In this paper, selective modal analysis is applied for a power system comprising two identical generators connected to an infinite bus through a series compensated transmission line and experiencing subsynchronous resonance(SSR). The effect of varying the compensation factor and loading condition is investigated. The effectiveness of excitation controllers designed on the basis of a single machine...
Based on mixed fault for actuator, this paper is concerned with reliable control problems for systems with time delay. Mixed fault is discrete fault model and continuous fault model coexist in a system. The proposed method not only quotes the general model but also combines reliable control with switched system, making full use of advantages of both systems. It can save much energy for reliable controller...
To a class of discrete interval systems, this paper introduces a class of method of designing the state and output feedback gain which place the closed-loop poles of a given discrete interval system inside a specified circular disc, in terms of LMIs. The reliable controllers of actuator failure model and sensor failure model are also presented in this paper. At the end of this paper, numerical examples...
A novel fiber—optic differential pressure sensor is designed and theoretically analyzed in this paper. Symmetrical structure between standard cavity and measured cavity is adopted in this sensor, the electro-optic Q-switched laser is used to produce mixed light by extra cavity double frequency,and this mixed light induce plasma to process the µm microchannels which position the emergent fibre and...
Constraint programming (CP) uses constraints present in production scheduling problems to derive feasible schedules but encounters computational difficulties when problem complexity increases. A hybrid method is proposed which uses genetic algorithms for global search and CP for constraint solving. Its performance is illustrated with an example from precast production scheduling presented as constrained...
Recently, more and more attention has been paid to the power generation from renewable energy resources, such as wind energy, solar energy etc. As one of the interconnecting scheme with power grid of renewable energy resources, voltage source converter (VSC) has been gradually used in power system. Therefore, special attention has also been devoted to research about VSC, such as mathematics modeling,...
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