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2012 AASRI Conference on Computational Intelligence and Bioinformatics (CIB2012)

作者： Hong Liu Changling Zuo Education Ministry Key Laboratory of Intelligent Computing and Signal Processing Anhui University

Fall detection is an important problem in the application research of video surveillance. Quick and effective ways of getting the information of the people falling to the ground can help the people get timely assistance to reduce further injury. This paper proposes an improved algorithm of automatic fall detection. Three features — human aspect ratio, effective area ratio and center variation rate are used in the proposed algorithm, which can effectively prevent misjudgments and greatly increase the accuracy of detection results. This algorithm has a less computing complexity and is easy to implement. Experimental results show that the algorithm has good robustness.

关键词： video surveillance fall detection human aspect ratio effective area ratio center variation rate

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Contraction network for solving maximum flow problem

Contraction network for solving maximum flow problem

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ACM SIGKDD Workshop on Mining Data Semantics 2012, MDS'12 - SIGKDD 2012

作者： Zhao, Shu Xu, Xiansheng Hua, Bo Zhang, Yanping School of Computer Science and Technology Anhui University Hefei Anhui Province 230039 China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei Anhui Province 230039 China

ISBN: (纸本)9781450315463

In this paper, we present a novel idea to solve maximum flow problem in the directed networks. Given a directed flow network which we call original network here, we propose a method of Contracting Neighbor-node-set Approach (CNA) based on Quotient Space Theory. It selects some nodes from fine-grained original network as equivalence class to form a new node in the new network. The coarse-grained new network is called quotient network. Then we apply classic algorithms on quotient network to solve the maximum flow of original network. The performance in practice of our algorithm is better than that of classic algorithms and the method of simplifying network. Experimental results show that CNA can approximate accurately solve the maximum flow of original network . The correctness of maximum flow is over 95%. At the same time, the node scale reduces to 55.45% of node scale of original network and edge scale reduces to 32.10% of edge scale of original network, averagely. Copyright © 2012 ACM.

关键词： Equivalence classes

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Secure two-party computation of the quadratic function's extreme minimal value

Secure two-party computation of the quadratic function's ext...

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2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012

作者： Fen, Wu Hong, Zhong Runhua, Shi Hongsheng, Huang School of Computer Science and Technology Anhui University Anhui China Key Laboratory of Intelligent Computing and Signal Processing Anhui University Ministry of Education Anhui China Department of Operation and Maintence in China Mobile Xuancheng China

ISBN: (纸本)9781467300223

Privacy-Preserving Computational Geometry (PPCG) is a special Secure Multi-party Computation, which is a hot research in information security. This paper presented a special PPCG problem of secure two-party computing the quadratic function's extreme minimal value on a secret interval. Based on Paillier's additive homomorphic and secure comparison protocol, a novel protocol for this problem is proposed. Furthermore, its correctness, security and efficiency are analyzed. The analysis results show that the proposed protocol is much more efficient than current protocol, which can be applied in some military and commercial fields. © 2012 IEEE.

关键词： Computational geometry

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The structure of the sparse basis function in compressive sensing for fast analysis of wide-angle monostatic scattering problems

The structure of the sparse basis function in compressive se...

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

作者： Du, Hong-Mei Chen, Ming-Sheng Wu, Xian-Liang Key Lab. of Intelligent Computing and Signal Processing Anhui University Ministry of Education Hefei 230029 China Department of Physics and Electronic Engineering Hefei Normal University Hefei 230601 China University of Science and Technology of China Hefei 230026 China

ISBN: (纸本)9781467321839

In the theory of compressive sensing, the selection of the basis functions directly affects the sparse transformation, observation number and reconstruction accuracy. In this paper, we introduce the structure of three sparse basic functions, which are used to analyze the electromagnetic scattering problems over a wide incident angle by the method of moment and compressive sensing. According to the characteristics of the induced current of wide angle, the best basic function is selected. Compared with the DCT, the accuracy of the reconstruction for different shape object are improved and the observation number reduces about 50%. © 2012 IEEE.

关键词： Method of moments

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Novel algorithm for enhancement of hand vein images based on adaptive filtering and retinex method

Novel algorithm for enhancement of hand vein images based on...

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International Conference on Information Science and Technology (ICIST)

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

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.

关键词： Veins Image segmentation Smoothing methods Lighting Skin Histograms Adaptive filters

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Rate-embedded differential space-frequency codes based on cyclic delay diversity

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Journal of Computational Information Systems 2012年第1期8卷 151-158页

作者： Zhang, Hongwei Xu, Lei Li, Xiaohui Lu, Lu Key Lab of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei 230039 China Anhui Public Security Department Hefei 230061 China

The conventional differential space-frequency codes (DSFC) based on cyclic delay diversity (CDD) only could achieve the same transmission rate with that of a single transmit antenna system, the spectral efficiency was low. To improve the spectral efficiency in a non-coherent multiple antenna system, the advantage of CDD is considered fully in this paper and then a rate-embedded differential space-frequency coding scheme based on grouped CDD is proposed. In the proposed scheme, all transmit antennas are partitioned into several groups firstly, the conventional cyclic delays are adopted to achieve spatial diversity in each group, those symbols among different groups are transmitted differentially with low rate and high rate message matrices alternately, consequently high rate transmission is obtained. Simulation results verify that, compared with the conventional DSFC based on CDD, the proposed coding scheme can achieve obviously higher transmission rates and better error performances. © 2012 Binary Information Press January 2012.

关键词： Spectrum efficiency

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Granularity analysis of fuzzy soft set

Granularity analysis of fuzzy soft set

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

作者： Yao, Dengbao Wang, Cuicui Mao, Junjun Zhang, Yanping School of Mathematical Sciences Anhui University Hefei 230039 China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 China Department of Computer Science University of Houston Houston TX 77204-3010 United States

ISBN: (纸本)9783642318993

Fuzzy soft set (FSs) is a novel mathematical tool, in order to describe and measure uncertain information of FSs perfectly, granularity analysis based on covering about FSs is originally discussed in this paper. Firstly, the α-dominance relation between any two objects is built by constructing the possibility degree or the weighted possibility degree after standardization, thus α-dominance class and α-covering approximation space could be generated on this relation. Secondly, granular capacity is proposed to measure the granular information of variable precision through introducing concepts of the description set and the indistinguishability set, Finally, an illustrative example is analysed to reflect dynamic changes of uncertain information under different granular structure. © 2012 Springer-Verlag.

关键词： Set theory

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Contracting community for computing maximum flow

Contracting community for computing maximum flow

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IEEE International Conference on Granular computing (GRC)

作者： Yanping Zhang Xiansheng Xu Bo Hua Shu Zhao School of Computer Science and Technology Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei China

In this paper, we propose a novel method named Contracting Community Approach (CCA) to get the maximum flow of flow network. Firstly, we contract communities in the original network. Then, we apply classic algorithms on the contracted network to approximately solve the maximum flow problem. Experimental results show that the efficiency of the proposed algorithm. For sparse networks, the size of network is reduced to 58.38% averagely and the correctness of maximum flow is over 95%. For middle dense networks, the size of network is reduced to 65.77% averagely. For dense networks, the size of network is reduced to 64.84% averagely. And the correctness of maximum flow even reach 100% both in many middle dense and dense cases in our experiments.

关键词： educational institutions Artificial neural networks Video recording

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Secure Cooperative Spectrum Sensing based on the Distance between Bodies of Evidence

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International Journal of Communications, Network and System Sciences 2012年第1期5卷 66-71页

作者： Yi Wang Yanjun Hu Xiwen Tang Yingguan Wang Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Key Laboratory of Wireless Sensor Network & Communication Shanghai Institute of Microsystem and Information Technolgy Chinese Academy of Sciences

In cognitive radio (CR) networks, unlicensed secondary users need to conduct spectrum sensing to gain access to a licensed spectrum band. And cooperation among CR users will solve the problems caused by multipath fading and shadowing. In this paper, we propose a multi-threshold method at local nodes to cope with noises of great uncertainty. Functions of distance between bodies of evidence are used at fusion centre to make synthetic judgment. To guarantee security which is an essential component for basic network functions, we will take selfish nodes into account which try to occupy channels exclusively. The proposed technique has shown better performance than conventional algorithms without increase the system overhead.

关键词： Cognitive Radio Spectrum Sensing Multiple Thresholds Energy Detection Evidence Theory

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A dual population parallel ant colony optimization algorithm for solving the traveling salesman problem

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Journal of Convergence Information Technology 2012年第5期7卷 66-74页

作者： Liu, Fang Software Institute Dalian Jiaotong University Dalian 116028 China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 China

In allusion to the phenomenon of stagnation and precocity during evolution in ant colony optimization (ACO) algorithm, this paper proposed a dual population parallel ant colony optimization (DPPACO) algorithm, which was applied to the traveling salesman problem. The DPPACO algorithm separated the ants into soldier ant population and worker ant population which evolve separately by parallel method and exchanges information timely. The dynamic equilibrium between solution diversity and convergence speed is achieved by using the effect of the soldier ant's distribution to worker ants' movement choice. The DPPACO algorithm can enlarge searching range and avoid local minimum, prevent local convergence caused by misbalance of the pheromone and can improve the searching performance of the algorithm effectively. The proposed algorithm is applied in the traveling salesman problem by using the 17 data sets obtained from the TSPLIB. We compare the experimental results of the proposed DPPACO method with the traditional methods. The experimental results demonstrate that the proposed algorithm has a better global searching ability, higher convergence speed and solution diversity.

关键词： Ant colony optimization

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