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Research of DNA sequences sets based on the improved genetic algorithm

Journal of Computational and Theoretical Nanoscience 2012年第7期9卷 969-973页

作者： Xia, Xue Zhang, Qiang Wang, Bin Zhao, Yuxia Key Laboratory of Advanced Design and Intelligent Computing Dalian University Ministry of Education Dalian 116622 China

With the continuous development of biotechnology, DNA computing will bring rapid development to the mathematics, computer science and other fields. As the foundation and the core issue of DNA computing, DNA encoding can be divided into two aspects, one is the quality optimization and the other is set design. The main research methods are theoretical analysis and algorithm design. In this paper, the traditional genetic algorithm is improved in the initialization, selection and mutation operations. We use fixed probability selection and adaptive multi-bits mutation operations in the improved genetic algorithm (IGA). The IGA is used in the DNA code set design under the combinatorial constraints satisfied the Hamming distance and Reverse Hamming distance constraint. The experimental shows our results are better than the earlier results in the literature. © 2012 American Scientific Publishers All rights reserved.

关键词： Hamming distance

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EMOTIONAL SPEECH RECOGNITION BASED ON SVM WITH GMM SUPERVECTOR

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Journal of Electronics(China) 2012年第3期29卷 339-344页

作者： Chen Yanxiang Xie Jian (Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine School of Computer Science&InformationHefei University of TechnologyHefei 230000China

Emotion recognition from speech is an important field of research in human computer interaction. In this letter the framework of Support Vector Machines (SVM) with Gaussian Mixture Model (GMM) supervector is introduced for emotional speech recognition. Because of the importance of variance in reflecting the distribution of speech, the normalized mean vectors potential to exploit the information from the variance are adopted to form the GMM supervector. Comparative experiments from five aspects are conducted to study their corresponding effect to system performance. The experiment results, which indicate that the influence of number of mixtures is strong as well as influence of duration is weak, provide basis for the train set selection of Universal Background Model (UBM).

关键词： Emotional speech recognition Support Vector Machines (SVM) Gaussian Mixture Model (GMM) supervector Universal Background Model (USB)

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CloudLCA: finding the lowest common ancestor in metagenome analysis using cloud computing

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Protein & Cell 2012年第2期3卷 148-152页

作者： Guoguang Zhao Dechao Bu Changning Liu Jing Li Jian Yang Zhiyong Liu Yi Zhao Runsheng Chen Bioinformatics Research Group Key Laboratory of Intelligent Information ProcessingAdvanced Computing Research LaboratoryInstitute of Computing TechnologyChinese Academy of SciencesBeijing 100190China Bioinformatics Laboratory and National Laboratory of Biomacromolecules Institute of BiophysicsChinese Academy of SciencesBeijing 100101China State Key Laboratory for Molecular Virology and Genetic Engineering National Institute for Viral Disease Control and PreventionChinese Center for Disease Control and PreventionBeijing 100176China Graduate School of the Chinese Academy of Sciences Beijing 100190China

Estimating taxonomic content constitutes a key problem in metagenomic sequencing data ***,extracting such content from high-throughput data of next-generation sequencing is very time-consuming with the currently available ***,we present CloudLCA,a parallel LCA algorithm that significantly improves the efficiency of determining taxonomic composition in metagenomic data *** show that CloudLCA(1)has a running time nearly linear with the increase of dataset magnitude,(2)displays linear speedup as the number of processors grows,especially for large datasets,and(3)reaches a speed of nearly 215 million reads each minute on a cluster with ten thin *** comparison with MEGAN,a well-known metagenome analyzer,the speed of CloudLCA is up to 5 more times faster,and its peak memory usage is approximately 18.5%that of MEGAN,running on a fat *** can be run on one multiprocessor node or a *** is expected to be part of MEGAN to accelerate analyzing reads,with the same output generated as MEGAN,which can be import into MEGAN in a direct way to finish the following ***,CloudLCA is a universal solution for finding the lowest common ancestor,and it can be applied in other fields requiring an LCA algorithm.

关键词： CloudLCA metagenome analysis cloud computing

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microRNA的功能(英文)

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生物化学与生物物理进展 2012年第10期39卷 979-980页

作者：罗海涛赵屹 Bioinformatics Research Group Advanced Computing Research LaboratoryKey Laboratory of Intelligent Information ProcessingInstitute of Computing TechnologyChinese Academy of Sciences Research Center of Bioinformatics Kunshan RNAi Institute

MicroRNAs(miRNAs)are a class of small non-coding RNAs that play important roles in post-transcriptional regulation of gene expression[1].A large number of miRNAs have been found to be involved in a broad spectrum of biological functions such as regulation of innate and adaptive immunity,cell differentiation and development as well as

关键词：肾癌 IL-8 上皮细胞-间质细胞转化蛋白激酶C

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Differently implicational α-universal triple I restriction method of (1, 2, 2) type

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Journal of Systems Engineering and Electronics 2012年第4期23卷 560-573页

作者： Yiming Tang Fuji Ren Yanxiang Chen Information and Communication Engineering Postdoctoral Research Station Hefei University of TechnologyHefei 230009P.R.China State Key Laboratory of Virtual Reality Technology and Systems Beihang UniversityBeijing 100191P.R.China Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine Hefei University of TechnologyHefei 230009P.R.China Institute of Technology and Science The University of TokushimaMinami Josanjima770-8506Japan

From the viewpoints of both fuzzy system and fuzzy reasoning, a new fuzzy reasoning method which contains the α- triple I restriction method as its particular case is proposed. The previous α-triple I restriction principles are improved, and then the optimal restriction solutions of this new method are achieved, especially for seven familiar implications. As its special case, the corresponding results of α-triple I restriction method are obtained and improved. Lastly, it is found by examples that this new method is more reasonable than the α-triple I restriction method.

关键词： fuzzy reasoning fuzzy system triple I method triple Irestriction method compositional rule of inference method.

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A novel image encryption algorithm based on DNA subsequence operation

The Scientific World Journal

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The Scientific World Journal 2012年第1期2012卷 286741页

作者： Zhang, Qiang Xue, Xianglian Wei, Xiaopeng Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education of Dalian University Dalian 116622 China

We present a novel image encryption algorithm based on DNA subsequence operation. Different from the traditional DNA encryption methods, our algorithm does not use complex biological operation but just uses the idea of DNA subsequence operations (such as elongation operation, truncation operation, deletion operation, etc.) combining with the logistic chaotic map to scramble the location and the value of pixel points from the image. The experimental results and security analysis show that the proposed algorithm is easy to be implemented, can get good encryption effect, has a wide secret key's space, strong sensitivity to secret key, and has the abilities of resisting exhaustive attack and statistic attack. © 2012 Qiang Zhang et al.

关键词：

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Adaptive facial expression recognition based on a weighted component and global features

Adaptive facial expression recognition based on a weighted c...

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4th International Conference on Digital Home, ICDH 2012

作者： Li, Rui Hu, Min Wang, XiaoHua Xu, Liangfeng Huang, Zhong Chen, Xing AnHui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine School of Computer and Information Hefei University of Technology Hefei China School of Computer and Information Hefei University of Technology Hefei China

ISBN: (纸本)9781467313483

An adaptive facial expression recognition method based on component and global features is presented in this paper. The facial component features are highlighted for purpose of improving facial expression percent correct rate. Firstly, eyebrows, eyes, nose and mouth are divided from a facial expression image and then the component features would be gotten from these organ images which are processed by Gabor wavelets. The weighted adaptive algorithm would be used to calculate the component feature weights, the weighted component features fuse with the global feature to get a feature fusion matrix. Finally, Weighted Principal Component Analysis (WPCA) and Fisher Linear Discriminant (FLD) methods are used to reduce dimensions and classify facial expression. Experimental results show that the algorithm proposed in this paper has much more accurate recognition rate compared with the global Gabor wavelets, PCA and FLD integrated algorithm. © 2012 IEEE.

关键词： Adaptive algorithms

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A MMSM-based Hybrid Method for Chinese MicroBlog Word Segmentation 2

A MMSM-based Hybrid Method for Chinese MicroBlog Word Segmen...

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2nd CIPS-SIGHAN Joint Conference on Chinese Language Processing, CLP 2012

作者： Sun, Xiao Li, Chengcheng Tang, Chenyi Ye, Jiaqi AnHui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine School of Computer and Information Hefei University of Technology Anhui Hefei230009 China School of Computer Science and Engineering Dalian University of Technology Liaoning Dalian116023 China

After years of researches, Chinese word segmentation has achieved quite high precisions for formal style text. However, the performance of segmentation is not so satisfying for MicroBlog corpora. In this paper we describe a scheme for Chinese word segmentation for, MicroBlog which integrates the character-based and word-based information in the directed graph generated by MMSM model. Word-level information is effective for analysis of known words, while character-level information is useful for analysis of unknown words. A multi-chain unequal states CRF model is proposed. The proposed multi-chain unequal states CRF has two state chains with unequal states which can recognize the POS tag simultaneously. The hybrid model was effective and adopted in real-world system. © 2021 CLP 2012 - 2nd CIPS-SIGHAN Joint Conference on Chinese Language Processing. All Rights Reserved.

关键词： Directed graphs

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Comparison of wavelet, contourlet and dual-tree complex wavelet for palmprint recognition

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ICIC Express Letters, Part B: Applications 2012年第8期6卷 2005-2010页

作者： Wei, Xiaopeng Liu, Jianyang Zhang, Jianxin Zhang, Qiang Key Lab of Advanced Design and Intelligent Computing Ministry of Education Dalian University Economic Technological Development Zone No. 10 Xuefu Ave Dalian 116622 China

Many multi-resolution analysis methods have been proposed for palmprint recognition due to the fact that there are three types of lines in human palm. In this pa- per, we make a systematic comparison of discrete wavelet transform (DWT), contourlet transform (CT) and dual-tree complex wavelet transform (DT-CWT) for palmprint recognition to find a better palmprint multi-resolution representation. In each method, the detail palmprint images or subbands are divided into several non-overlapping blocks, and the energy of each block is computed as recognition feature. The three methods are tested on the public PolyU Palmprint Database with various resolution levels and block numbers. Experiment results show that the best equal error rates achieved by DWT, CT and DT-CWT are 2.46%, 1.61% and 1.50%, respectively, which are mainly obtained by using smaller size non-overlapping blocks. The directional information can significantly improve the recognition accuracy, and the shift invariance property makes little contribution to the improvement of the recognition performance because the palmprint images for feature extraction have been preprocessed and normalized. © 2012 ICIC International.

关键词： Discrete wavelet transforms

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Comparison of wavelet, contourlet and dual-tree complex wavelet for palmprint recognition

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ICIC Express Letters 2012年第8期6卷 2005-2010页

作者： Wei, Xiaopeng Liu, Jianyang Zhang, Jianxin Zhang, Qiang Key Lab of Advanced Design and Intelligent Computing Ministry of Education Dalian University No. 10 Xuefu Ave Economic Technological Development Zone Dalian 116622 China

Many multi-resolution analysis methods have been proposed for palmprint recognition due to the fact that there are three types of lines in human palm. In this paper. we make a systematic comparison of discrete wavelet transform (DWT), contourlet transform (CT) and dual-tree complex wavelet transform (DT-CWT) for palmprint recognition to find a better palmprint multi-resolution representation. In each method, the detail palmprint images or subbands are divided into several non-overlapping blocks, and the energy of each block is computed as recognition feature. The three methods are tested on the public PolyU Palmprint Database with various resolution levels and block numbers. Experiment results show that the best equal error rates achieved by DWT. CT and DT-CWT are 2.46%, 1.61% and 1.50%. respectively, which are mainly obtained by using smaller size non-overlapping blocks. The directional information can significantly improve the recognition accuracy, and the shift invariance property makes little contribution to the improvement of the recognition performance because the palmprint images for feature extraction have been preprocessed and normalized. © 2012 ICIC International.

关键词： Discrete wavelet transforms

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