This paper presents a neural network proportion integral differential (PID) controller for automatic gauge control (AGC) system of rolling mill, it is an high non-linear and time-varying system. The traditional PID co...
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We address a learning-based method for super resolution. Training sample set provide a candidate highresolution interpretation for the low-resolution images. Modeling image patches as Markov network node, and we learn...
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A new dynamic vehicle scheduling algorithm with changeable time window is presented. This algorithm can consider both bespoken demand and real-time demand. The initial routings are constructed by insertion algorithm, ...
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An intelligent home system is designed and implemented based on the context-awareness technology, which minimizes users' interventions and maximizes functional autonomy of systems. A multi-agent technology is prop...
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A valid multiscale classification method of synthetic aperture radar (SAR) imagery is proposed based on Multiscale technology and Markov Random Field (MRF) mode. Firstly, we employ multiscale autoregressive model for ...
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With the rapid development of network, some novel applications like remote database access, electric commerce, etc. bring forth many new requirements for network loads, network communication efficiency and network sec...
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Erasure codes are used in many distributed applications. This paper applies Cauchy Reed-Solomon codes to P2P streaming systems which is different from classical Reed-Solomon codes. Due to churn in these systems, strea...
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The resource limitation of mobile devices causes the problem that the existing image processing software based on the centralized computing mode had difficulty running in mobile devices. A solution is given in the pap...
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A new kind of neural-based market prediction computing approach for electronic commerce has beenpresented by our research group in this paper. Our purpose is to suggest a successful and efficient prediction method of ...
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To improve the convergence time of Ant Colony Algorithm, avoid falling in local best and enhance the quality of solution, a novel dynamic parameters ant colony algorithm with particle swarm characteristics is proposed...
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