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Brake energy regeneration is an electrical current management technology that ensures intelligent generation of electric power by restricting production to the engine overrun phases and the application of the brakes. Compressed air energy storage is a technically feasible and economically attractive method for load management. This work proposed a brake energy regeneration system based on electric-controlled compressed air energy storage technology. In the proposed system, we designed a control strategy based on system capacity estimation and driver purpose identifying. The real road driving was adopted to test the system and the control strategy. The experimental results suggest that the brake energy regeneration system enables fuel economy increase of bus more than 10%. About the system initial cost, the return on investment time is about three years. [ABSTRACT FROM AUTHOR]

Many traditional algorithms use single metric generated by multi-events to detect intrusion by comparison with a certain threshold. In this paper we present a metric vector-based algorithm to detect intrusion while introducing the sample distance for both discrete and continuous data in order to improve the algorithm on heterogeneous dataset. Experiments on MIT lab Data show that the proposed algorithm is effective and efficient. [ABSTRACT FROM AUTHOR]

This paper describes a new feature extraction method contributing to improvement of the performance of a handwritten Chinese character recognition system. By using enhanced weighted dynamic meshes based on nonlinear normalization, this method not only avoids the zigzags and other undesirable side effects introduced in the original Yamada et al.'s nonlinear normalization method but also avoids additional feature normalization process in the original Lian-Wen Jin et al.'s and WU Tian-lei et al.'s dynamic mesh method. Experiment on HCL2000, a handwritten Chinese character database, shows that our method achieves superior performance. [ABSTRACT FROM AUTHOR]