Papers by Author: Liang Zhang

Abstract: Hybrid electric technology had been introduced into construction machinery from vehicle field. Hybrid electric bulldozer was focused by researchers recently. For constructing a simulation platform of the series tracked hybrid electric bulldozer on whole working condition, a model was built through the secondary development of ADvanced VehIcle SimulatOR (ADVISOR), which could simulate its performance on straight and steering working conditions. In the modeling process, bulldozer’s dynamics model, track walking mechanism model and oil pump model etc., were established and inserting by Matlab/Simulink. The field experiments were performed. The data from experiments and simulation outputs were compared to validate the correct of the model. The results showed that the operating parameters of model were in close proximity to those of experiments, which verifying the established model had significant high accuracy.

Abstract: A novel sparse weighted LSSVM classifier is proposed in this paper, which is based on Suykens weighted LSSVM. Unlike Suykens weighted LSSVM, the proposed weighted method is more suitable for classification. The distance between sample and classification border is used as the sample importance measure in our weighted method. Based on this importance measure, a new weight calculating function, using which can adjust the sparseness of weight, is designed. In order to solve the imbalance problem, a kind of normalization weights calculating method is proposed. Finally, the proposed method is used on digit recognition. Comparative experiment results show that the proposed sparse weighted LSSVM can improve the recognition correct rate effectively.

Abstract: SiO2/ SiO2 nanocomposites dipped with silicon resin was ablated and the physical state and phase transformation were characterized. Trace impurity in raw material and compound obtained by chemical reaction were analyzed. Moreover, the high-temperature dielectric properties were investigated. On the basis of above, it is found that the impurity carbon and silicon carbide are the key factors influencing dielectric properties.