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2012 IEEE International Conference on Information Science and Technology, ICIST 2012

作者： Wang, Hua-Bin Tao, Liang Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei Anhui 230039 China

ISBN: (纸本)9781457703454

Based on adaptive filtering and retinex method, this paper presents a novel algorithm for Enhancement of hand vein images. First of all, the principle of the near-infrared hand vein image acquisition is introduced. Secondly, the Retinex method is used to normalize hand vein images, and the adaptive smoothing method is selected to estimate the illumination. Thirdly, Gray cosine transform is used to enhance the discrimination of the skin and the vein in hand vein images. Finally, a determination criterion of hand vein is established to remove the false vein blocks from the segmented hand vein images. We developed a hand vein recognition system in Microsoft VC6.0 and the experimental results demonstrate the high efficiency of the proposed algorithm in runtime and correct recognition rate. © 2012 IEEE.

关键词： Adaptive filtering

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A uniform solution to the independent set problem through tissue P systems with cell separation

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Frontiers of Computer Science 2012年第4期6卷 477-488页

作者： Xingyi ZHANG Xiangxiang ZENG Bin LUO Zheng ZHANG Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and TechnologyAnhui UniversityHefei 230039China Department of Computer Science Xiamen UniversityXiamen 361005China Key Laboratory of Image Processing and Intelligent Control Department of Control Science and EngineeringHuazhong University of Science and TechnologyWuhan 430074China

Membrane computing is an emergent branch of natural computing, which is inspired by the structure and the functioning of living cells, as well as the organization of cells in tissues, organs, and other higher order structures. Tissue P systems are a class of the most investigated computing mod- els in the framework of membrane computing, especially in the aspect of efficiency. To generate an exponential resource in a polynomial time, cell separation is incorporated into such systems, thus obtaining so called tissue P systems with cell separation. In this work, we exploit the computational efficiency of this model and construct a uniform family of such tissue P systems for solving the independent set problem, a well-known NP-complete problem, by which an efficient so- lution can be obtained in polynomial time.

关键词： membrane computing tissue P system cell sep- aration independent set problem

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A novel anonymous secret sharing scheme based on BP Artificial Neural Network

A novel anonymous secret sharing scheme based on BP Artifici...

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2012 8th International Conference on Natural Computation, ICNC 2012

作者： Zhong, Hong Wei, Xiaodong Shi, Runhua Key Laboratory of Intelligent Computing and Signal Processing Anhui University Ministry of Education China School of Computer Science and Technology Anhui University China

ISBN: (纸本)9781457721311

In an anonymous secret sharing scheme, the secret can be reconstructed without knowledge of which participant hold which share. That is, in such scheme the secret can be recovered from the shares without the identities of shareholders. However, the previous anonymous schemes are not very efficient and the existing bounds make optimization work difficult. In this paper, we present a novel anonymous secret sharing scheme by using BP Artificial Neural Network. The scheme can ensure that the shareholders' identities are completely anonymous when the secret is recovered. Unlike previous schemes, our scheme is an ideal (t, n) threshold scheme which parameter t doesn't have lower bounds and need less storage space. Furthermore, the shares can be chosen by shareholders and the communication between dealer and participants doesn't need secure channel. In addition, the participants can verify the correctness of their shares and the secret S. © 2012 IEEE.

关键词： Neural networks

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Numerical dispersion analysis of symplectic and ADI schemes

Numerical dispersion analysis of symplectic and ADI schemes

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2012 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2012

作者： Ren, Xin-Gang Huang, Zhi-Xiang Wu, Xian-Liang Lu, Si-Long Mei, Yi-Cai Du, Hong-Mei Wang, Hui Shen, Jing Key Lab. of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China Department of Physics and Electronic Engineering Hefei Normal University Hefei China

ISBN: (纸本)9781467321839

In this paper, Maxwell's equations are taken as a Hamiltonian system and then written as Hamiltonian canonical equations by using the functional variation method. The symplectic and ADI schemes, which can be extracted by applying two types of approximation to the time evolution operator, are explicit and implicit scheme in computational electromagnetic simulation, respectively. Since Finite-difference time-domain (FDTD) encounter low accuracy and high dispersion, the more accurate simulation methods can be derived by evaluating the curl operator in the spatial direction with kinds of high order approaches including high order staggered difference, compact finite difference and scaling function approximations. The numerical dispersion of the symplectic and ADI schemes combining with the three high order spatial difference approximations have been analyzed. It has been shown that symplectic scheme combining with compact finite difference and ADI scheme combining with scaling function performance better than other methods. Both schemes can be usefully employed for simulating and solving the large scale electromagnetic problems. © 2012 IEEE.

关键词： Maxwell equations

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A novel distributed machine learning method for classification: Parallel covering algorithm

A novel distributed machine learning method for classificati...

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7th International Conference on Rough Sets and Knowledge Technology, RSKT 2012

作者： Zhang, Yanping Wang, Yuehua Zhao, Shu Anhui University Computer Science and Technology Institute Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Hefei Anhui Province 230039 China

ISBN: (纸本)9783642318993

In this paper, we propose a novel distributed machine learning method: Parallel Covering Algorithm, which is inspired by the module feature of CA (Covering Algorithm). Classic method of CA is presented, and we analyze its independent part. Then we develop the Parallel CA by utilizing its modularity as well as data-set decomposition. Detailed implementation of the parallel computing process is described. In the experiment, three data sets are used to evaluate the Parallel CA, and the comparison with classic CA is also shown in the paper. Speedup and efficiency are two criterions to evaluate the performance of the algorithm. Both the analysis and the comparison indicate that the Parallel CA is more effective than CA. We also empirically compare the results obtained by Parallel SVM on a large data set, and it shows that our proposed algorithm is effective. © 2012 Springer-Verlag.

关键词： Learning algorithms

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Study of periodic dispersive structures at oblique incidence by split-field FDTD method

Study of periodic dispersive structures at oblique incidence...

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2012 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2012

作者： Lu, Si-Long Wu, Bo Huang, Zhi-Xiang Wu, Xian-Liang Ren, Xin-Gang Mei, Yi-Cai Du, Hong-Mei Key Lab. of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China Department of Physics and Electronic Engineering Hefei Normal University Hefei China

ISBN: (纸本)9781467321839

In this paper, the periodic structures are simulated by the split-field finite difference time domain (FDTD) method. By using this method, a set of auxiliary elements are introduced to represent the discretization of the Floquet transformed Maxwell's equations with oblique incidence. We here extend the split-field method to the study of 2D dispersive structures of Drude model combining with the Z transformation method. Some numerical experiments are presented to validate the code, and the obtained results are in good with the analytic results. © 2012 IEEE.

关键词： Finite difference time domain method

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Spectral matching algorithm based on nonsubsampled contourlet transform and scale-invariant feature transform

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Journal of Systems Engineering and Electronics 2012年第3期23卷 453-459页

作者： Dong Liang Pu Yan Ming Zhu Yizheng Fan Kui Wang Key Lab of Intelligent Computing ＆ Signal Processing Ministry of Education Anhui University Hefei 230039 E R. China School of Electronics and Information Engineering Anhui University Hefei 230039 P. R. China School of Mathematics and Computation Sciences Anhui University Hefei 230039 P. R. China

A new spectral matching algorithm is proposed by us- ing nonsubsampled contourlet transform and scale-invariant fea- ture transform. The nonsubsampled contourlet transform is used to decompose an image into a low frequency image and several high frequency images, and the scale-invariant feature transform is employed to extract feature points from the low frequency im- age. A proximity matrix is constructed for the feature points of two related images. By singular value decomposition of the proximity matrix, a matching matrix （or matching result） reflecting the match- ing degree among feature points is obtained. Experimental results indicate that the proposed algorithm can reduce time complexity and possess a higher accuracy.

关键词： point pattern matching nonsubsampled contourlet transform scale-invariant feature transform spectral algorithm.

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UPML-FDTD parallel computing on GPU

UPML-FDTD parallel computing on GPU

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2012 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2012

作者： Ma, Weiwei Sun, Dong Wu, Xianliang Key of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei 230039 China School of Electrical Engineering and Automation Anhui University Heifei 230039 China

ISBN: (纸本)9781467321839

Finite-Difference Time-Domain method (FDTD) which is known with its simple and flexible is widely used for the calculating of electromagnetic fields. However, it costs a lot of time in simulating the electrical-large object. To sovle the promble, parallel method for UPML-FDTD algorithm was put forward using GPU based-on Compute Unified Device Architecture (CUDA) in this paper. The algorithm is further optimized by using texture memory. Comparing with the calculation with traditional CPU, The result of simulation shows that this algorithm has enough precision and the remarkable increased efficiency was acquired in different sizes of Yee cells. © 2012 IEEE.

关键词： Finite difference time domain method

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Perfect plane wave injection for symplectic finite-difference time-domain scheme

Perfect plane wave injection for symplectic finite-differenc...

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2012 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2012

作者： Wang, Hui Huang, Zhi-Xiang Wu, Xian-Liang Wu, Bo Shen, Jing Key Lab. of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 China Department of Physics and Electronic Engineering Hefei Normal University Hefei 230061 China

ISBN: (纸本)9781467321839

In this paper, the method of splitting plane wave finite-difference time-domain (SP-FDTD) algorithm is presented for the initiation of plane wave sources in symplectic finite-difference time-domain (SFDTD) scheme. By splitting the fields on one-dimensional (1D) grid and using the nature of numerical plane wave in FDTD, an efficient plane wave sources is simulated on 1D grid, and a perfect match is achieved for a plane wave propagating at any angle forming an integer grid cell ratio. Numerical examples show the valid of the proposed method. © 2012 IEEE.

关键词： Wave propagation

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A full-rate wireless cooperative relay transmission scheme with low detection complexity

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Journal of Computational Information Systems 2012年第13期8卷 5279-5285页

作者： Zhang, Hongwei Liu, Yanru Zhang, Ye Li, Xiaohui Key Lab. of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei 230039 China

To achieve low detection complexity and full-rate wireless cooperative transmissions, pre-coding and cyclic delay diversity (CDD) techniques are fully considered and properly combined for a two-path successive relay network with multiple relay nodes in this paper. Firstly, the symbols to be transmitted at source node are encoded with linear complex field coding methods, and then these coded symbols are divided into two data streams. Both streams are transmitted to two groups of relay nodes respectively during two consecutive time slots. After having been amplified and forwarded by relay nodes using CDD ways, all transmit signals are received by the destination node finally. At receiver, only two symbols are needed to be jointly detected in each transmission process, the complexity is low. Simulation results show that the proposed scheme can achieve full-rate cooperative relay transmissions and obtain high diversity gains of the distributed wireless systems. © 2011 by Binary Information Press.

关键词： Orthogonal frequency division multiplexing

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