Papers by Keyword: GaP

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Authors: Vineet Khanna, Hari Singh Choudhary, Prakrati Trivedi
Abstract: This paper presents a new image lossless compression technique for natural images. The proposed algorithm uses the switching of existing Edge Directed Prediction algorithm and gradient Adaptive Predictor (GAP ) methods. The proposed algorithm is a switching based algorithm and the criteria of switching are based upon the adaptive threshold. We know that EDP has higher computational complexity due to the estimation of LS (Least Square ) based paramter whereas GAP has relatively lower computational complexity. So, in order to reduce the computational complexity we had made a hybrid combination of EDP and GAP Method which the proposed algorithm is a generic algorithm and it produces the best results in different varieties of images in terms of both compression ratio and computational complexity.
Authors: De Quan Yao, Shuai Zhao, Hong Jie Jia, Hao Liang
Abstract: Input features selection is the premise of transient stability assessment base on neural network method. This paper adopts sensitivity analysis method to calculate the sensitivity-matrix of input features. And on this basis it defines important indexes and impact factors. Based on the gap information of impact factors, it selects the optimal subset of input features, which helps to decrease the redundant information and reduce the dimension of input features. This approach can improve the efficiency and accuracy of transient stability assessment effectively. The results of New England test system demonstrate the validity of the approach.
Authors: Zhong Jie Wang, Yong Rui Dong, Xin Du
Abstract: In this paper, the abnormal phenomenon of fixed series compensation GAP is discussed. The main reason, too large attenuation of the fiber communication between the GAP trigger equipment and control protection screen input plate is analyzed. The improved measurement to the fixed series compensation system operation and design is proposed.
Authors: Hao Xu, Wang Ping, Jing Mang Xu
Abstract: The finite element method was used to analyze the deformation and stress of track in different length and height of gaps under the train load. In order to study the influence of gap between the slab and emulsified cement asphalt mortar of china railway track system II slab track on the subgrade, a model of CRTS II slab track was established on the base of elastic foundation beam theory and finite element software ANSYS. The results show that gap between slab and CA mortar has significance effect on the stress and deformation of track structure. The deformation of rail and slab, the longitudinal stress of slab were increase with the increase of gap length, but has less effect on lateral stress of slab. When the length of gap exceed to 1.95m, the deformation and stress have the tendency of increase sharply, the length of gap between slab and CA mortar should not exceed 1.95m. The gap between slab and CA mortar has effect on the durability and lifetime of ballastless track, so the gap should be maintenance timely.
Authors: Guo Hua Dong, Yan Li, De Wen Hu
Abstract: Independent Component Analysis (ICA) is a powerful method which aims at representing a given random signal as a sum of independent sources. The engineering community, however, works at the distribution function or characteristic function level while makes assertions at the random variable level. This legitimacy of this jump has never been established and consists of a longstanding gap in the ICA literature. In this paper, it is proved that existence of a factorization of characteristic function does imply existence of a corresponding decomposition of random variable into independent sum and thus the gap is bridged. The proof relies on two nontrivial results from probability theory.
Authors: Takayuki Arai, Kazuo Uchida, Hiroki Tokunaga, Koh Matsumoto
Authors: M.A. Zaidi, H. Maaref, M. Zazoui, J.C. Bourgoin
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