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World Congress on intelligent Control and Automation (WCICA)

作者： Jie Song Jiaxing Cheng Zhongwei Xu Key Laboratory of Intelligent Computering and signal Processing of Ministry of Education Anhui University Hefei Anhui China

This paper proposes a new approach of human face recognition using partial least square (PLS) and covering algorithm. PLS constructs the component so that the correlation between the class variable and themselves maximized. Covering algorithm is a kind of neural network method. The approach first processes the image with wavelet transform, and then eliminates the redundant features with PLS. It reduces the dimension of image by extracting the principal features. Finally, classifies the image by covering algorithm

关键词： Face recognition Humans Frequency signal processing algorithms Feature extraction Wavelet transforms Pattern recognition Computer science education Neural networks Pattern matching

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Joint detection of frequency offset and MAI for MC-CDMA systems

Joint detection of frequency offset and MAI for MC-CDMA syst...

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2006 International Conference on Communication Technology, ICCT '06

作者： Yanjun, Hu Boukerche, Azzedine Key Laboratory o Intelligent Computation and Signal Processing Ministry of Education Anhui University Hefei Anhui 230039 China PARADISE Research Laboratory SITE University of Ottawa Ont. K1N 6N5 Canada

ISBN: (纸本)1424408016

Multi-carrier (MC) CDMA technique can reduce the interference and improve the performance of the system in fading channel. But the frequency offset and multiple access interference (MAI) are obstructive to its performance. In this paper, combining the PIC multiuser detection and frequency offset estimation based on maximum likelihood function guard interval, we propose a joint detection which called M-ML-MPIC (Modified Maximum Likelihood Multistage Parallel Interference Canceller) to correction the frequency offset and MAI simultaneously. The numerical results of the performance analysis and comparisons of conventional schemes with the proposed method are given.

关键词： Code division multiple access

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The Algebraic computing Structure of Four DNA Bases

The Algebraic Computing Structure of Four DNA Bases

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International Conference on Artificial Reality and Telexistence (ICAT)

作者： Ping Zhu Xuqing Tang Zhenyuan Xu Weihong Guan School of Science Southern Yangtze University Wuxi China Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei China

In this paper, we offers a new algebraic point of view for DNA molecules and introduce the algebraic system by using the natural operation based on the Sigma = {A, C, G, T} . We characterize its structure by using the algebraic theory. We show that (L, oplus, otimes ) is the distribution lattice of rings with identical element. Furthermore,we generalize this result to the Wrho(V) , a set which elements simulates the DNA molecules with sticky ends, the element is called an incomplete double stranded molecules consist of mixed DNA molecules with double and single strands.

关键词： DNA computing Lattices Laboratories intelligent structures signal processing Computational modeling Sequences Biochemistry Biological materials Genetics

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APPLICATION OF QUOTIENT SPACE GRANULARITY COMPUTATION THEORY IN PINYIN-CHINESE CHARACTER CONVERSION

APPLICATION OF QUOTIENT SPACE GRANULARITY COMPUTATION THEORY...

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2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

作者： JIAN-GUO WU ZHENG-YI LIU JIAN-CHENG GONG Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education Department of Department of Mechanical Engineering Anhui University of Science and Technology Wuhu 241000 China

At present the most widely used technology of pinyin-Chinese character conversion combines statistics with linguistic rules. Although it basically solves such problems as long distance restriction and language recursion phenomenon,it relies on a great deal of computation because there are too many candidate paths. This paper tries to simplify the candidate paths by using quotient space granularity computation theory, first obtains the scope of the best path in the coarser granularity world, and then uses more language rules to obtain the best path. The experiments indicate that this method can reduce the computation, speed up the conversion, and enhance the rate of accuracy by nearly 2％.

关键词： Pinyin-Chinese character conversion Quotient space Natural language processing

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A Novel Approch for Clustering of Chinese Text Based on Concept Hierarchy

A Novel Approch for Clustering of Chinese Text Based on Conc...

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IEEE International Conference on Cognitive Informatics

作者： Peng Zhao Huan-Tong Geng Qing-Sheng Cai University of Science and Technology Hefei China Key Lab. Intelligent Computing & Signal Processing of Ministry of Education Anhui University Hefei China

After analyzing the disadvantages of traditional text clustering method based on keywords set, a novel approach for clustering of Chinese text based on concept hierarchy is presented. It introduces a Chinese topic classify dictionary as background knowledge to clustering of Chinese text. It adopts a hierarchical coding system which reflects concept relevance among different words and uses vector space model based on concept hierarchy to represent Chinese text. The experimental results show this approach is more effective than traditional text clustering method based on keywords set

关键词： Dictionaries Space technology Clustering methods Documentation Text mining Clustering algorithms Frequency Computer science signal processing signal analysis

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Quotient space approachability basing on measure space and fusion model of weighted graphical structure

Quotient space approachability basing on measure space and f...

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IEEE International Conference on Granular computing (GRC)

作者： HongBin Fang Ling Zhang Department of Mathmatics Anhui University Hefei China Department of Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education Institute of Artifical Intelligence Anhui University Hefei China

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Strong Convergence of Empirical Distribution for a Class of Random Matrices

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Chinese Quarterly Journal of Mathematics 2006年第1期21卷 28-32页

作者： LIANG Qing-wen MIAO Bai-qi WANG Da-peng Department of Statistics and Finance University of Science and Technology of China Hefei 230026 China Key Lab of intelligent Computing and Signal Processing of the Ministry of Education AnhuiUniversity Hefei 230026 China

Let {vij}, i, j = 1, 2, …, be i.i.d, random variables with Ev11 = 0, Ev11^2 = 1 and a1 = （ai1,…, aiM） be random vectors with {aij} being i.i.d, random variables. Define XN =（x1,…, xk） and SN =XNXN^T,where xi=ai×si and si=1/√N（v1i,…, vN,i）^T. The spectral distribution of SN is proven to converge, with probability one, to a nonrandom distribution function under mild conditions.

关键词： empirical spectral distribution function sample covariance matrix Stieltjes transform strong convergence

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Automatic Recognition of Noisy Code-39 Barcode

Automatic Recognition of Noisy Code-39 Barcode

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International Conference on Artificial Reality and Telexistence (ICAT)

作者： Xianyong Fang Fuli Wu Bin Luo Haifeng Zhao Peng Wang Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University China College of Information Engineering Zhejiang University of Technology China Motorola China Electronics Limited Corporation China

Barcode has been widely applied in the modern world. This paper presents a fast and robust recognition method of noisy code 39 barcode. The proposed method can be divided into two steps: search and decoding. In the first step, all asterisks in the image are found with evenly defined scan lines and then those with the same directions are matched together to get a valid barcode region. In the second step, a local denoise method is first applied to eliminate noise in the barcode region and then a middle band filter is used to decode the barcode. Our method is simple in comparison with former methods and experimental results show that it is efficient for fast barcode recognition on noisy images.

关键词： Decoding Bars Image edge detection Robustness Equations Low pass filters signal processing educational institutions educational technology Image recognition

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Granular Analysis of Time Sequence Based on Quotient Space

Granular Analysis of Time Sequence Based on Quotient Space

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International Conference on Computational Intelligence for Modelling, Control and Automation, and International Conference on intelligent Agents, Web Technologies and Internet Commerce

作者： Liquan Zhao Ling Zhang Bo Zhang Province Key Laboratory of Electronic Business Nanjing University of Finance and Economics Nanjing China Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education Anhui University Hefei China Computer Science Department Tsinghua University Beijing China

This paper aims to carry out granular analysis of time sequence based on quotient space. Granular methods have long before been adopted to analyze time sequence, but the granularity was based on time, for example, day mean, month mean, year mean and so on in finance forecast. In this paper, the granularity is based on space and some significant results are obtained: we can, in certain circumstances, get characteristics of time sequence in an original space when carrying out granular analysis of it in its coarser-grain space; granular analysis of a Markov chain is equivalent to an hidden Markov model (HMM), contrarily, any HMM is equivalent to granular analysis of a Markov chain. These results deepened our understanding of HMM from the perspective of granular analysis. We can not only use the methods of HMM to study time sequence, but also use the methods of granular analysis based on quotient space theory to solve the problems of HMM.

关键词： Hidden Markov models Laboratories Artificial intelligence signal analysis Finance signal processing Computer science education Space technology Computational intelligence Economic forecasting

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Joint Detection of Frequency Offset and MAI for MC-CDMA Systems

Joint Detection of Frequency Offset and MAI for MC-CDMA Syst...

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International Conference on Communication Technology (ICCT)

作者： Yanjun Hu Azzedine Boukerche Key Laboratory o Intelligent Computation and Signal Processing Ministry of Education Anhui University Hefei Anhui China PARADISE Research Laboratory SITE University of Ottawa ONT Canada

Multi-carrier (MC) CDMA technique can reduce the interference and improve the performance of the system in fading channel. But the frequency offset and multiple access interference (MAI) are obstructive to its performance. In this paper, combining the PIC multiuser detection and frequency offset estimation based on maximum likelihood function guard interval, we propose a joint detection which called M-ML-MPIC (modified maximum likelihood multistage parallel interference canceller) to correction the frequency offset and MAI simultaneously. The numerical results of the performance analysis and comparisons of conventional schemes with the proposed method are given.

关键词： Multicarrier code division multiple access Multiple access interference Frequency estimation Maximum likelihood detection Maximum likelihood estimation Multiaccess communication Fading Multiuser detection Interference cancellation Performance analysis

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