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检索条件"机构=Key Laboratory of Intelligent Computing and Signal Processing of the MoE"

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Motor Imagery EEG Classification based on Dynamic ICA Mixing Matrix

Motor Imagery EEG Classification based on Dynamic ICA Mixing...

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The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

作者： Xiaojing Guo Xiaopei Wu The Key Laboratory of Intelligent Computing & Signal Processing of MOE Anhui University Hefei city Anhui province China

Recently the mu rhythm by motor imagination has been used as a reliable EEG pattern for brain-computer interface (BCI) system. To motor-imagery-based BCI, feature extraction and classification are two critical stages. This paper explores a dynamic ICA base on sliding window Infomax algorithm to analyze motor imagery EEG. The method can get a dynamic mixing matrix with the new data inputting, which is unlike the static mixing matrix in traditional ICA algorithm. And by using the feature patterns based on total energy of dynamic mixing matrix coefficients in a certain time window, the classification accuracy without training can be achieved beyond 85% for BCI competition 2003 data set Ⅲ. The results demonstrate that the method can be used for the extraction and classification of motor imagery EEG. In the present study, it suggests that the proposed algorithm may provide a valuable alternative to study motor imagery EEG for BCI applications.

关键词： Electroencephalography Independent component analysis signal processing algorithms Brain computer interfaces Computer interfaces Rhythm Laboratories signal processing Cities and towns Feature extraction

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A distributed group signature scheme with traceable signers for mobile Ad hoc networks

A distributed group signature scheme with traceable signers ...

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2010 International Conference on Computer Application and System Modeling, ICCASM 2010

作者： Zhong, Hong Shi, Runhua Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 China School of Computer Science and Technology Anhui University Hefei 230039 China

ISBN: (纸本)9781424472369

In this paper, we propose a distributed group signature scheme with traceable signers for mobile Ad hoc networks. In such scheme, there isn't a trusted center, and all members of Ad hoc group cooperate to generate all system parameters and all private/public keys. Any t members in Ad hoc group can collaboratively generate the group signature with the help of a designated clerk, where the signer respectively generates the partial signature by using his private key and the clerk can check the correctness of the partial signature. Furthermore, anyone can verify the validity of the group signature by the group public key and trace back to find the identities of signers from the warrant created by the clerk. What's more, it can dynamically increase the parameter values of t and n , according to the actual security needs of mobile Ad hoc networks, but the private and public keys of the whole Ad hoc group still are not changed for relatively long-term stability. © 2010 IEEE.

关键词： Mobile ad hoc networks

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Analysis of mode characteristic of guided electromagnetic wave in mine tunnels

Analysis of mode characteristic of guided electromagnetic wa...

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International Conference on intelligent computing and intelligent Systems

作者： Yao, Shan-Hua Wu, Xian-Liang School of Electric and Information Engineering Anhui University of Science and Technology Huainan China Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei China

ISBN: (纸本)9781424465835

According to the surface impedance method, the equations of both monofilar mode and bifilar mode of guided electromagnetic waves in mine tunnels were presented, the distribution of synthesized electromagnetic field in tunnels was given by utilizing image approach. The attenuation constant of monofilar mode in a circular tunnel was solved. The simulation results show that propagation attenuation of monofilar mode of low frequency would increase as increasing of frequency. The skin effect and attenuation would be fearful as cable closing tunnel wall nearby, and the attenuation would be reduced if cable was located in tunnel locate. The field of binIar mode is concentrated in space between double cable and around area, the effects are stronger due to space between double cables than space between double cables and tunnel wall, in same time that attenuation of mononIar mode would be increasing with the decreasing of space between cables and tunnel wall. ©2010 IEEE.

关键词： Cables

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Inferring protein-protein interactions from sequence using sequence order information

Inferring protein-protein interactions from sequence using s...

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The 5th International Conference on Computer Science & Education(第五届国际计算机新技术与教育学术研讨会 ICCSE'10)

作者： Xiuquan Du Jiaxing Cheng Key Laboratory of Intelligent Computing & Signal Processing Ministry of EducationAnhui UniversityH Key Laboratory of Intelligent Computing & Signal Processing Ministry of EducationAnhui University

Identification of protein-protein interaction is crucial for nearly all biological process. In this paper, we introduce a new transformation of protein sequence based on sequence order information. We use 5594 interacting pairs of yeast organism from DIP core database as training data set, seven types organism as independent data set. The model with a new protein coding scheme obtains 88.927％ accuracy, 88.243％ sensitivity, 89.468％ specificity, 77.864％ MCC. The average performance on independent data set is 79.4999％.

关键词： protein-protein interaction:sequence order information:support vector machine:auto covariance

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A secure scheme for data statistics

A secure scheme for data statistics

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International Conference on E-Business and E-Government (ICEE)

作者： Huang, Hongsheng Zhong, Hong Shi, Runhua Key Laboratory of Intelligent Computing and Signal Processing Anhui University Ministry of Education Hefei Anhui 230039 China School of Computer Science and Technology Anhui University Hefei Anhui 230039 China

ISBN: (纸本)9780769539973

Secure Multi-party Computation (SMC) is a hot point concerning with information security and it is widely used in many fields, such as e-voting, e-auction and e-payment systems et al. This paper mainly discusses a special issue, data statistics, of SMC and its practical application background. Based on the oblivious transfer protocol and the homomorphic encryption scheme, a solution scheme is proposed. Furthermore, the security and the computational complexity of this scheme are as well analyzed. The results of analysis show that the proposed scheme is secure and efficient. © 2010 IEEE.

关键词： Cryptography

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Two protocols for computing the sub-polygon's areas divided by a line

Two protocols for computing the sub-polygon's areas divided ...

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International Conference on Advanced Computer Theory and Engineering

作者： Zhong, Hong Huang, Hongsheng Shi, Runhua Key Laboratory of Intelligent Computing and Signal Processing Anhui University Ministry of Education Hefei Anhui 230039 China School of Computer Science and Technology Anhui University Hefei Anhui 230039 China

ISBN: (纸本)9781424465408

Secure Multi-party Computation (SMC) plays an important role in information security under the circumstance of cooperation calculation, so SMC on privacy-preservation is of great interest. In this paper we discuss an issue which is a special SMC problem. Based on Scalar Product Protocol, Monte Carlo Method and Oblivious Transfer, we give two solutions to the problem about how to decide the areas. That is, a polygon is divided into two parts by a line: SI and S2. Furthermore, we analyze the security and computational complexity, as well as the comparison of these two protocols. The results of analysis show that the proposed protocols are secure and efficient. We believe the two protocols will be useful in other geometric and combinatorial problems. © 2010 IEEE.

关键词： Computational geometry

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Face recognition using fuzzy rough set and support vector machine

Face recognition using fuzzy rough set and support vector ma...

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IEEE International Conference on intelligent computing and intelligent Systems (ICIS)

作者： Shi-yi Wang Tao Liang Computer Department of Chaohu College Chaohu P.R. China MOE Key Laboratory of Intelligent Computing & Signal Processing Anhui University Hefei Anhui P.R. China MOE Key Laboratory of Intelligent Computing & Signal Processing Anhui University Hefei 230039 China

This paper proposes a method of face recognition using the support vector machine (SVM) based on the fuzzy rough set theory (FRST). Firstly, features from human face images are extracted by combining the 2-D wavelet decomposition technique with the grayscale integral projection technique. And then, the attribute reduction algorithm based on FRST is applied in face recognition. The reduction algorithm based on FRST can eliminate the redundant features of sample dataset and reduce the space dimension of the sample data. The proposed method avoids losing of information caused by dispersing before original rough set attribute reduction. Experimental results show that it can improve the classification accuracy in face recognition as compared with the method using the original rough set.

关键词： Face

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Improved particle swarm algorithm for portfolio optimization problem

Improved particle swarm algorithm for portfolio optimization...

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2010 2nd International Conference on Industrial Mechatronics and Automation, ICIMA 2010

作者： Cao, Jianguo Tao, Liang Department of Computer Science Anhui Vocational and Technical College of Industry and Trade Huainan 232007 China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 China

ISBN: (纸本)9781424476541

Particle swarm optimization (PSO) is a recently proposed population-based random search algorithm, which performs well in some optimization problems. In this paper, we proposed an improved PSO algorithm to solve portfolio selection problems. The proposed approach IPSO employs an opposite mutation operator to enhance the performance of the standard PSO. In order to verify the performance of IPSO, we test it on five well-known benchmark function optimization problems. At last, we use IPSO to solve a classical portfolio selection problem. The results show that the proposed approach is effective and achieves better results than standard PSO. ©2010 IEEE.

关键词： Particle swarm optimization (PSO)

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2010 IEEE 5th International Conference on Bio-Inspired computing: Theories and Applications, BIC-TA 2010

作者： Zhang, Zhujin Wang, Shuo Zhang, Xingyi Zhang, Zheng Department of Control Science and Engineering Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China School of Computer and Information Science University of South Australia Adelaide SA 5095 Australia Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei 230039 China

ISBN: (纸本)9781424464388

Randí et al. proposed a significant graphical representation for DNA sequences, which is very compact and avoids loss of information. In this paper, we build a fast algorithm for this graphical representation with time complexity O(n2), and find another important advantage in the representation: no degeneracy. Moreover, we propose a new method to do similarity analysis of DNA sequences based on the representation. The approach adopts four elements of covariance matrix as a descriptor, and is illustrated on the first exon of beta-globin genes from 11 different species. © 2010 IEEE.

关键词： DNA sequences

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Motor imagery classification based on the optimized SVM and BPNN by GA

Motor imagery classification based on the optimized SVM and ...

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International Conference on intelligent Control and Information processing (ICICIP)

作者： Yingying Jiao Xiaopei Wu Xiaojing Guo Key Laboratory of Intelligent Computing & Signal Processing MOE Anhui University Hefei China School of Computer Science and Technology Anhui University China

Brain-computer interface (BCI) is a specific Human-Computer interface in which the brain wave is employed as the carrier of control information. The ultimate goal of BCI is to build a direct communication pathway between human brain and external environment that does not depend on the limb mobility and language. In this paper, we carry out the experiment about the left or right hand motor imagery, and support vector machine with genetic algorithm (GA-SVM) and back propagation neural network with genetic algorithm (GA-BP) are employed to classify the μ rhythm evoked by movement imagination. The experiment results prove that GA-SVM can easily find out the appropriate parameters of SVM and GA-BP can avoid getting into local minimization to great extend. So higher accuracy of classification is achieved.

关键词： Support vector machines Classification algorithms Kernel Biological cells Accuracy Educational institutions Biological neural networks

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