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Because of the instability and the complexity of the communication between the ground and the space, the teleoperation system faces many problems which can lead to operation failure. In order to enhance the success probability and reduce the unnecessary cost, the predication simulation system based on virtual reality is developed in this paper. The teleoperation command could be done in the system...
Interactive Dynamic Influence Diagrams (I-DIDs) constitute a graphic model for multi-agent decision making under uncertainty, but solving them is provably intractable. Algorithms for solving I-DIDs face the challenge of an exponentially growing space of candidate models ascribed to other agents, over time. Pruning behaviorally equivalent models is one way toward minimizing the model set, but composing...
This paper presents a new wavelet transform coding algorithm for complex Synthetic Aperture Radar (SAR) image compression. It uses a improved recursive set-partitioning procedure to compress the large blocks which are abundant in zero bits, and uses entropy coding based on adaptive context prediction model to compress the small blocks which contains non-zero bits. The experiment results showed that...
In this paper, the basic idea is to use percent of reserve capacity, the historical load and price to forecast short-term electricity price .The paper provides an example of bidding model to forecast market clear price using BP neural network trained by PSO. To compare with the result of traditional BP neural network, the proposed method has better forecasting precision and can convergence to global...
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