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Advances in Modelling and Analysis A 2016年第1期53卷 145-159页

作者： Wu, Daqing Tang, Lixiang Li, Haiyan Ouyang, LiJun Computer Science and Technology Institute University of South China HangyangHunan China Antai College of Economics and Management Shanghai Jiao Tong University Shanghai200240 China Zigong643000 China Key Laboratory of Guangxi High Schools for Complex System and Computational Intelligence Guangxi University for Nationalities Nanning530006 China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University HefeiAnhui Province230039 China Department of Business Administration Hunan University of Finance and Economics Hunan410205 China

This paper proposes a multi-objective with dynamic topology particle swarm optimization (PSO) algorithm for solving multi-objective problems, named DTPSO. One of the main drawbacks of classical multi-objective particle swarm optimization algorithm is low diversity. To overcome this disadvantage, DTPSO uses two dynamic local best particles to lead the search particles with multiple populations to deal with multiple objectives, and maintains diversity of new found non-dominated solutions via partitioned the searching space into fixed number of cells. The proposed DTPSO is validated through comparisons with other two multi-objective algorithms using established benchmarks and metrics. Simulation results demonstrated that DTPSO shows competitive, if not better, performance as compared to the other algorithms. © 2016, AMSE Press. All rights reserved.

关键词： Multiobjective optimization

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An improved performance metric for multiobjective evolutionary algorithms with user preferences

An improved performance metric for multiobjective evolutiona...

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IEEE Congress on Evolutionary Computation, CEC 2015

作者： Yu, Guo Zheng, Jinhua Li, Xiaodong School of Information Engineering Xiangtan University Hunan China Key Laboratory of Intelligent Computing Information Processing of Ministry of Education China School of Computer Science and IT RMIT University Melbourne Australia

ISBN: (纸本)9781479974924

This paper proposes an improved performance metric for multiobjective evolutionary algorithms with user preferences. This metric uses the idea of decomposition to transform the preference information into m+1 points on a constructed preference-based hyperplane, then calculates the Euclidean distances and the angles between the obtained solutions by algorithms and those obtained m+1 points, respectively. By means of these distances and angles, the proposed metric can evaluate effectively both the convergence and diversity of the obtained solution set, with consideration of the preference information. This makes easier and allows meaningful comparisons between different multiobjective evolutionary algorithms using preference information. © 2015 IEEE.

关键词： Evolutionary algorithms

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Spray and Wait Routing Algorithm Based on Transfer Utility of Node in DTN

Spray and Wait Routing Algorithm Based on Transfer Utility o...

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2015 IEEE International Conference on Progress in Informatics and computing(PIC 2015)

作者： Guizhu Wang Mei Shao Run Li Yao Ma Bingting Wang Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Department of Electronic and Electrical Engineering Chuzhou University

Delay Tolerant Networks(DTNs) is a mobile wireless network, in which it is difficult to establish end-to-end paths. Meanwhile, the nodes transmit message copies randomly,resulting in a high overhead of message propagation. In this paper, a Transfer Utility of Node Spray and Wait(TUoN-SNW)routing is proposed to forward the message copies dynamically,which avoid randomness of Spray and Wait routing protocol when message copies are forwarded. And in order to reduce the overhead, a Based on Transfer Utility of Node’s Buffer Scheduling Strategy(BTUoN-BSP) is also applied. Simulation results show that compared with the Spray and Wait(SNW)routing, the algorithms could not only improve the delivery rate but also reduce the overhead of network obviously.

关键词： delay tolerant networks transfer utility spray and wait buffer scheduling strategy

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Cloud removal of remote sensing image based on multi-output support vector regression

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Journal of Systems Engineering and Electronics 2014年第6期25卷 1082-1088页

作者： Gensheng Hu Xiaoqi Sun Dong Liang Yingying Sun Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University School of Electronics and Information Engineering Anhui University

Removal of cloud cover on the satellite remote sensing image can effectively improve the availability of remote sensing images. For thin cloud cover, support vector value contourlet transform is used to achieve multi-scale decomposition of the area of thin cloud cover on remote sensing images. Through enhancing coefficients of high frequency and suppressing coefficients of low frequency, the thin cloud is removed. For thick cloud cover, if the areas of thick cloud cover on multi-source or multi-temporal remote sensing images do not overlap, the multi-output support vector regression learning method is used to remove this kind of thick clouds. If the thick cloud cover areas overlap, by using the multi-output learning of the surrounding areas to predict the surface features of the overlapped thick cloud cover areas, this kind of thick cloud is removed. Experimental results show that the proposed cloud removal method can effectively solve the problems of the cloud overlapping and radiation difference among multi-source images. The cloud removal image is clear and smooth.

关键词： remote sensing image cloud removal support vector regression multi-output

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A full-rate distributed transmission scheme for two-way multi-antenna wireless cooperative relay networks

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Journal of Computational Information Systems 2014年第24期10卷 10593-10601页

作者： Zhang, Hongwei Li, Fengzhen Zhang, Gongquan Li, Ruzi Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei China

A full-rate distributed transmission scheme for two-way multi-antenna wireless cooperative relay networks is proposed in this paper, which is suitable for the universal bidirectional relay communication model that two source terminals and all relays are equipped with multiple antennas. Orthogonal frequency division multiplexing (OFDM) ways are adopted to complete all information transmissions among different nodes. One whole bidirectional data exchange and transmission process between both source terminals mainly includes two stages. In the first stage, the symbols to be transmitted are jointly coded appropriately at two source terminals during several time slots on each sub-carrier, and then broadcasted to all relay nodes respectively. In the second stage, each OFDM modulation symbol is cyclically delayed with proper cyclic delay value at each relay in time domain. In the amplification and forwarding (AF) process, the operated signals at all relays are transmitted to both source terminals successively in time division (TD) ways, only those antennas performing cooperative relay transmissions at each relay node work together during several proper AF time slots. According to the coding and forwarding rules, one source terminal can obtain the original data from the other terminal after eliminating self-interferences. Finally, the proposed scheme can realize full-rate transmissions with low coding and detection complexity, which is applicable to the general bidirectional relay communication case, the coding process is simple and can be extended to design similar relay schemes easily. Simulation results verify the superiority and effectiveness of the proposed scheme.

关键词： Electronic data interchange

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An adaptive Spray and Wait routing algorithm based on Capability of Node in DTN

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Journal of Information and Computational Science 2014年第6期11卷 1975-1982页

作者： Wang, Guizhu Wang, Jie Wang, Bingting Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei 230039 China

Delay Tolerant Network (DTN) is an intermittently connected network where there is no complete path from source to destination for most of the time, and routing becomes one of the most challenging and open problems in DTN. To deal with this issue and avoid random and blindfold forwarding in Binary Spray and Wait (BSW) routing, we present the concept of CoN (Capability of Node), then propose the CoN-ASW routing algorithm, which uses the CoN to calculate the number of message copies to be forwarded and determine whether to forward messages to the encounter node. The simulation results show that the proposed algorithm can significantly improve the delivery utility while enhancing delivery rate and reduce the overhead. © 2014 Binary Information Press.

关键词： Delay tolerant networks

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Speech intelligibility enhancement using convolutive non-negative matrix factorization with noise prior

International Journal of Multimedia and Ubiquitous Engineeri...

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International Journal of Multimedia and Ubiquitous Engineering 2014年第7期9卷 73-86页

作者： Zhou, Jian Fang, Xianyong Tao, Liang Zhao, Li Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University 230601 Hefei China Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education Southeast University 210096 Nanjing China

We propose a convolutive non-negative matrix factorization method to improve the intelligibility of speech signal in the context of adverse noise environment. The noise bases are prior learned with Non-negative Matrix Factorization (NMF) algorithm. A modified convolutive NMF with sparse constraint is then derived to extract speech bases from noisy speech. The divergence function is selected as an objective function to get a multiplicative update of speech base and its corresponding weight. The weights of prior learned noise bases are also updated in the update rule. Listening experiments are conducted to assess the intelligibility performance of speech synthesized using the proposed algorithm. Experimental results indicate that the proposed method is very effective to improve the intelligibility of the noisy speech in various noise contexts and it outperforms conventional algorithms. © 2014 SERSC.

关键词： Non-negative matrix factorization

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Design for the Parameters' Transfer of A Hybrid Real-Time Communication Network in TD-LTE

Design for the Parameters' Transfer of A Hybrid Real-Time Co...

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International Symposium on Computational Intelligence and Design, ISCID

作者： Wanyu Cai Yanjun Hu Haowen Wang Key laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China Shanghai Research Center for Wireless Communications Shanghai China

ISBN: (纸本)9781467395885

In TD-LTE test verification system, a proper method is needed for the parameters' transfer, which is based on software and hardware co-simulation platform. In this paper, the hybrid Real-Time communication network, which is composed of TCP/IP protocol, UDP protocol and reflective memory technology on account of hardware board, was built and a loopback test system between system simulation and link system for parameters' interface has been formed. The entire system has realized the sending and receiving of the parameters, which is fast, scalable and flexible link by either the optical fibers or LAN cable. Results show that the latency of the data could prove the key microsecond-level delay. That not only ensures the complex Real-Time of communication system, but also does not lose the parameters' information of the whole system.

关键词： Real-time systems Hardware Protocols Delays Servers TCPIP Field programmable gate arrays

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Independent component analysis combined with compressed sensing for EEG compression in BCI

Independent component analysis combined with compressed sens...

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International Conference on Information, Communications and signal processing

作者： Bangyan Zhou Xiaopei Wu Zhao Lv Lei Zhang Chao Zhang Ministry of Education Key Laboratory of Intelligent Computing & Signal Processing Co-Innovation Center for Information Supply & Assurance Technology Anhui University Hefei China

Considering the limitation of hardware requirement and power dissipation in wearable brain-computer interface (BCI), the electroencephalogram (EEG) data compression implemented by independent component analysis (ICA) combined with compressed sensing (CS) is proposed in this paper. A simple and effective ICA spatial filtering method is used to obtain motor related independent components (MRICs). Furthermore, CS algorithm is introduced to compress MRICs, which have advantage of frequency sparse. So the proposed scheme can make few MRICs compressed transmission instead of the multi-channel EEG data transmission. Based on the measured motor imagery EEG data, the proposed EEG compression scheme is compared with the traditional CS compression scheme. The experimental results show that, the two system schemes have the similar classification accuracy. However, in the proposed compression scheme, the amount of transmission data can be reduced by 75%.

关键词： Electroencephalography Biomedical monitoring Image reconstruction Image coding signal processing algorithms Electrodes Dictionaries

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An improved precoding of Approximative Matrix Inverse Computations based on norm minimization algorithm in massive MIMO system

An improved precoding of Approximative Matrix Inverse Comput...

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IEEE International Conference on Progress in Informatics and computing (PIC)

作者： Hongliu Tu Yanjun Hu Yaohua Xu Fengrong Li Key laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China Key Laboratory of Wireless Sensor Network & Communication Chinese Academy of Sciences Shanghai China

In massive multiple-input multiple-output (MIMO) system, scaling up the antennas of base station (BS) has a clear benefit on sum rate and energy efficiency, but the signal processing complexity can be very high and many algorithms cannot be implemented in practice for high hardware cost. Approximative Matrix Inverse Computations (AMIC) algorithm is a kind of low-complexity precoding for large multiuser MIMO systems, but the Bite Error Rate (BER) performance is shown to be not better than the classical MMSE precoding. To improve the BER performance of AMIC algorithm, in this paper, we use norm minimization algorithm to change the coefficient of the precoding matrix to improve the BER performance of AMIC algorithm. It can verify that the proposed algorithm can achieve better BER performance than the AMIC algorithm by using only a limited number of Neumann series iterations, and keep lower complexity. The proposed scheme is a compromise solution between complexity and BER performance.

关键词： Approximation algorithms Antennas Bit error rate Precoding signal to noise ratio

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