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International Conference on intelligent Computation Technology and Automation, ICICTA

作者： Chao Han Sui Wei Kaifeng Liu Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China

In order to reduce the complexity of hologram generation and holographic display, for the first time the paper combines Gerchberg-Saxton iterative algorithm with Lohmann coding to make phase-only hologram and designs a digital micromirror device (DMD) display system. Thus we not only solve the problem that the amplitude of the frequency spectrum of object function fluctuates very greatly but also avoid the complicated process for producing hologram produced by the plotter, which is controlled by computer. And by this method we can further avoid the complicated technology by etching silicon crystal and improve the quality of imaging.

关键词： Holography Iterative algorithms Holographic optical components Computer displays Micromirrors Mirrors Image reconstruction Optical modulation Optical interferometry Frequency

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Classification of four-class motor imagery EEG data using spatial filtering

Classification of four-class motor imagery EEG data using sp...

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The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

作者： Lu Wang Xiao-pei Wu The Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education Anhui Univesity HefeiChina

An efficient discrimination method of different brain states is important in order to implement a suitable system. This paper applies the One Versus the Rest CSP to the EEG data recorded during motor imagery tasks consisting of four different classes, namely the imagination of right hand, left hand, foot and tongue movements. The best correct classification results for the three subjects are73.3％, 81.7％, and 76.7％.

关键词： Brain Computer Interface (BCI) EEG Common Spatial Patterns(CSP) one-versus-rest

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Prediction of protein-protein interaction sites using Granularity computing of quotient space theory

Prediction of protein-protein interaction sites using Granul...

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The International Conference on Theory and Applications of Computational Chemistry 2008(2008理论与计算机化学国际会议)

作者： Xiuquan Du Jiaxing Cheng The Key Laboratory of Intelligent Computing and Signal Processing Ministry of EducationAnhui UniversityHefei230039China

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A Watermarking Sharing Scheme for Gray-Level Images Using Multiple-Based Number System

A Watermarking Sharing Scheme for Gray-Level Images Using Mu...

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International Symposium on intelligent Information Technology Application, IITA

作者： Bin Luo Youqing Wu Jin Tang Wanli Lv Wei Gu Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei Anhui China

A novel watermarking sharing scheme for gray-level images is proposed, which has the ability of sharing secret (the gray-level image) with multi-users. Multiple-based number system is used to split the secret into n meaningless shares, each share is embedded into cover image with controlled distortion and to be assigned to each user afterwards. The main feature of the proposed scheme is sharing a secret of gray-level image among multi-users; another application of such scheme is ownership verification. To reveal the secret, the necessary amount of shares has to be presented. That is, the secret can be recovered even if some shares are lost. Simulation results show that the recovered secret has robustness against a wide range of imaging processing operations.

关键词： Watermarking Cryptography Image converters Information technology signal processing Control systems Robustness Security Digital images Internet

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Model of granular computing

Model of granular computing

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2008 International Conference on Theoretical and Mathematical Foundations of Computer Science, TMFCS 2008

作者： Zhao, Liquan Zhang, Ling Province Key Laboratory of Electronic Business Nanjing University of Finance and Economics Nanjing 210003 China Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei 230039 China Artificial Intelligence Institute Anhui University Hefei 230039 China

ISBN: (纸本)9781615677207

Granular computing which imitates the manner of human thinking is a mathematical tool to deal with incomplete, uncertain, imprecise and inconsistent knowledge. Just as a great umbrella, it may be regarded as a lab.l of theories, methodologies, techniques and tools about granules, mainly including fuzzy set theory, rough set theory and quotient space theory. In this paper we discuss the relationship of three theories. Then we introduce a general model of granular computing and present a macrocosmic (microcosmic) hierarchical representation of granules.

关键词： Rough set theory

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An Efficient Method for Sampling and computing Molecular Surface

An Efficient Method for Sampling and Computing Molecular Sur...

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International Conference on BioMedical Engineering and Informatics (BMEI)

作者： Junping Xiang Maolin Hu Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education and School of Mathematics and Computational Science Anhui University China

An atom-centered protocol based method for surface sampling in grid space is proposed. Van der Waals, solvent-accessible and solvent-excluded surface can be generated in a unified framework. A spherical hash function is used to mark whether the points are inside a sphere, and the hash tables are used to record which spheres the surface points locate on. The proposed method can be modified to apply in the parallel computation directly, which is useful for molecular dynamics simulation, docking and surface comparison and so on. Our tests indicate that the proposed method is efficient and the generated surfaces are suitable for quantitative analysis and visualization.

关键词： Sampling methods Synthetic aperture sonar Solvents Atomic measurements Grid computing Probes Biomedical computing signal sampling Concurrent computing Visualization

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An Artificial Immune Model with Vaccine Operator for Network Intrusion Detection

An Artificial Immune Model with Vaccine Operator for Network...

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Pacific-Asia Workshop on Computational Intelligence and Industrial Application, PACIIA

作者： Xianjin Fang Longshu Li Key Lab of Intelligent Computing & Signal Processing of Ministry of Education Anhui University Hefei China Computer School Anhui University Hefei China

This paperpsilas purpose is to design a novel artificial immune model for network intrusion detection. This novel model can satisfy three main requirements of an efficient network intrusion detection system, namely, distributed, lightweight and self-organizing, can also quicken the process of affinity maturation of detector population and improve the efficiency of anomaly detection. The algorithms of adaptive extracting vaccines and vaccine operator are given in detail. And then, on the basis of Kimpsilas conceptual model for network intrusion detection, a novel artificial immune model and relevant algorithm for real-time network intrusion detection is proposed, which integrates vaccine operator with negative selection algorithm and clonal selection algorithm.

关键词： Vaccines Intrusion detection Detectors Computer networks Distributed computing Conferences Computational intelligence Computer industry Application software Computational and artificial intelligence

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Comparisons of Protein Structure Alignment Methods: Rigid and Flexible, Sequential and Non-Sequential

Comparisons of Protein Structure Alignment Methods: Rigid an...

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International Conference on Bioinformatics and Biomedical Engineering (ICBBE)

作者： Junping Xiang Maolin Hu Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education School of Mathematics and Computational Science Anhui University Hefei Anhui China

We try to evaluate the sequential and non-sequential and flexible structural alignment methods on SCOP 1.71. Firstly, we compare the flexible method with rigid methods and compare the sequence order dependent methods with sequence order independent methods by two typical cases. Secondly, the performances of the above methods are evaluated using ten protein pairs which are considered as "hard to detect" similarities. Thirdly, we evaluate the methods by comparing the ROC curves based on their native score and geometric measure Qscore. Then we compare the methods directly using geometric match measure Qscore, which also allows the creation of a 'Best- of-All' method. The main conclusions are: (1) we find that the best alignments found by sequential methods are more consistent with the SCOP classification; (2) we show that ROC curves are of limited value and that their ranking of the methods is not consistent with the ranking implied by the quality of the alignments the methods find; (3) we also find that the alignments of flexible method and non-sequential methods are better than the corresponding alignments of rigid sequential method from the viewpoint of geometric superposition, and flexible method and non-sequential methods can find more cross-fold similarities.

关键词： Proteins Gold Performance evaluation Amino acids Fasteners lab.ratories Computational intelligence intelligent structures Biomedical signal processing educational programs

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Verification of Controller Synthesis Based on Completely Specified Finite State Machine

Verification of Controller Synthesis Based on Completely Spe...

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International Symposium on Information Science and Engineering, ISISE

作者： Wei Li Yichao Zhang Zhengyi Liu Jianguo Wu Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education Anhui University Hefei China Anhui University Hefei Anhui CN

Controller synthesis uses hardware description language and synthesis optimization tools from a higher abstract level. State transition graph of completely specified finite state machine is adopted to describe the behavior of controller. State transition graph STG_org was generated before synthesized and state transition graph STG_ext was reversely extracted from structure realization of controller synthesis. If STG_org and STG_ext were equivalent then corresponding process of controller synthesis was correct. The paper gives a formal verification algorithm of controller synthesis with time complexity O(B 2 /Aldrt 1 (n)+A ldr t 2 (m,n)) .In order to further improve time complexity of algorithm, a verifying algorithm with synthetic information guidance was proposed. The algorithm is proved efficient in theory for its time complexity is decreased to O(Bldrt 1 (n) + Aldrt 2 (m,n)).

关键词： Automata Circuit synthesis signal processing algorithms Sequential circuits signal synthesis Hardware design languages Process control Formal verification Control system synthesis Combinational circuits

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DIRECTIONAL CLASSIFICATION OF CORTICAL signalS USING A LIQUID STATE MACHINE

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IFAC Proceedings Volumes 2008年第2期41卷 9596-9600页

作者： Jiangshuai Huang Huijuan Fang Yongji Wang Key Lab. for Image Processing & Intelligent Control of Education Ministry of China Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China

Liquid State Machine (LSM) is a newly developed computational model with many interesting properties. It has great advantages of dealing with biologic computing when compared to the traditional computational model. In this paper, the LSM was used to deal with the direction classification problem of the spike series which were distilled from the neurons in motor cortex of a monkey. In the output layer, a linear regression and back-propagation are employed as the training algorithms. Compare to outcomes of the two algorithms, it is showed that ideal classification results were derived when using BP as the training algorithm.

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