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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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A Design of Temperature and Humidity Remote Monitoring System Based on Wireless Sensor Network Technology

A Design of Temperature and Humidity Remote Monitoring Syste...

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International Conference on Control Engineering and Communication Technology (ICCECT)

作者： Zhiyuan Gao Yingju Jia Hongwei Zhang Xiaohui Li Key Lab of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei China

ISBN: (纸本)9781467344999

In recent years, WSN (Wireless Sensor Network) technology has been developed rapidly, and been widely used in the fields of industry, agriculture, medicine and so on. To solve the low communication rate and short-distance data transmission in the current temperature and humidity monitoring system, this paper designs a temperature and humidity remote monitoring system based on WSN technology. In this system, microprocessor Atmega128L is adopted as the control core of network node, and wireless transceiver module nRF905 is used to realize wireless data transmission. The data of temperature and humidity is sampled by using digital temperature sensor DS18B20 and humidity sensor SHT75 in the system. The proposed network protocol in this paper not only can realize long-rang wireless data transmission, but also can realize self-organizing and manual networking. The results of practical test show that this system has the stable and reliable performance and the advantage of scalability.

关键词： Temperature sensors Wireless sensor networks Humidity Routing Wireless communication Temperature measurement Monitoring

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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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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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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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A novel approach based on domain ontology for web information extraction

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International Journal of Advancements in computing Technology 2012年第7期4卷 185-194页

The effect of Web information extraction depends on the quality of extraction rules. But for most approaches for Web information extraction, independence of extraction rules is their common shortages. In this paper, we propose a novel approach based on ontology for Web information extraction. We sum up four features for information items and induce these features to a group of extraction rules. Then according to a group of mapping rules between elements of ontology and extraction rules, extraction rules are well organized in ontology. According to properties of concept in ontology, the initial result of information extraction is got and then the final result is obtained by simplifying the initial results. Experiments show that our approach has higher precision.

关键词： Ontology

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A heuristic particle swarm optimization with quasi-human strategy for weighted circles packing problem

A heuristic particle swarm optimization with quasi-human str...

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International Conference on Natural Computation (ICNC)

作者： Ziqiang Li Yanfang Xie Zuijun Tian Zhou Lichao School of Information and Engineering Xiangtan University China 411105 Key Laboratory of Intelligent Computing & Information Processing of Ministry of Education Xiangtan 411105 China Key Laboratory of Intelligent Computing & Information Processing of Ministry of Education Xiangtan China

The weighted circles layout problem belongs to the layout optimization problem with performance constraints. Due to its NP-hard property, it is difficult to solve in polynomial time. In this paper, a heuristic particle swarm optimization approach with quasi-human strategy (HQHPSA) is presented for this problem. Its layout scheme is constructed through the proposed heuristic method: that both circular radius and the norm of row vector of the matrix and sub-vector are taken as the probability factors of the roulette selection and the circles are located by arranging round existing circles in peripheral with counterclockwise. The complexity of the proposed heuristic method is only O(n) for one layout scheme. The better layout solution obtained through the proposed heuristic method is taken as the elite particle individual. The PSO with quasi-human strategy is used to optimize the elite particle into the optimal solution. The numerical experiments show that the performance of proposed algorithm is superior to the existing algorithms.

关键词： Layout Algorithm design and analysis Particle swarm optimization Optimization Computers Genetic algorithms educational institutions

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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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Analytical optimization for collaborative double threshold energy detection in cognitive radio network

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Journal of Information and Computational Science 2012年第13期9卷 3875-3882页

作者： Zhu, Jun Bai, Yun Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 China School of Electronic Information Engineering Anhui University Hefei 230601 China

The conventional 'OR' fusion rule is frequently applied in two pre-determined limits energy detection networks but its overall performance of the false alarm and miss detection probability is generally. The new method to optimize the total error probability in three combination schemes is proposed and the presented approach focuses on combining the k-out-of-N decision fusion with data fusion. General expressions for these probabilities are derived and an analytical solution for the optimal value of k is found minimizing the overall error probability. It provides performance analysis and comparison due to the different parameters such as SNR, the threshold coefficient, for the Additive White Gaussian Noise (AWGN) channel. Numerical experiment results show there are superior performances of above fusion strategies as opposed to traditional hard rule, by selecting the right system parameters. 1548-7741/Copyright © 2012 Binary Information Press.

关键词： Data fusion

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Clustering based on fuzzy tolerance quotient spaces

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Journal of Computational Information Systems 2012年第24期8卷 10105-10112页

作者： Zhao, Shu Zhang, Ling Liu, Qianqian Zhang, Yanping School of Computer Science and Technology Anhui University Hefei 230039 China Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei 230039 China

The quotient space theory based on fuzzy tolerance relation is put forward to solve the problem of clustering in this paper. The similarity matrix does not always satisfy ultrametric inequality, theoretically and practically. We give the method to construct the hierarchical quotient space chain if the similarity matrix is only reflexive and symmetric. We consider not only the subset of data (cluster) but also the structure of the different granular clusters. The main contributions in this paper include four parts. (1) We introduce sufficient and necessary condition that normalized distance d(x;y) is an equicrural distance;(2) The relation between equicrural distance and ultrametric inequality is discussed;(3) We propose a method to get the proximate partition of a covering from a tolerance relation;(4) An example for using fuzzy tolerance quotient spaces to clustering is given. © 2011 by Binary Information Press.

关键词： Information systems

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