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Prediction of multiple sequence alignment based on an improved particle swarm optimization

Journal of Bionanoscience 2013年第1期7卷 92-96页

作者： Gao, Yu-Xi Wang, Yan-Min Pei, Zhi-Li Department of Computer Science Jilin Business and Technology College China Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education College of Computer Science and Technology Jilin University China College of Computer Science and Technology Inner Mongolia University for the Nationalities Tongliao 028000 China

In this paper we use an improved Particle Swarm Optimization algorithm to solve Multiple Sequence Alignment (MSA). MSA is a key problem in bioinformatics. The thesis starts with the theory of Particle swarm optimization algorithm and the design an improved algorithm for Multiple Sequence Alignment. The simulated experiments show that the improved algorithm surpasses existing algorithms in performance. Copyright © 2013 American Scientific Publishers.

关键词： Bioinformatics

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Prediction of ncRNA based on least squares support vector machine

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Journal of Bionanoscience 2013年第1期7卷 121-125页

作者： Xing, Chong Wan, Liming Wang, Jiaxin Liang, Yanchun College of Electrical and Information Engineering Guanghua College of Changchun University Changchun 130033 China College of Computer Science and Technology Jilin University Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education Changchun 130012 China Research Institute on General Development and Evaluation of Equipment EAAF of PLA Beijing 100076 China

In this paper, on the basis of principal component analysis, we use least squares support vector machine (LS-SVM) to predict tRNA. Appearance frequencies of single nucleotide, 2-nucleotides, (G-C)% and (A-T)% were chosen as characteristic inputs. Results from tests showed that the prediction accuracy was 90.51% on prokaryotic tRNA dataset. The results indicate that the proposed method is adoptable for prokaryotic ncRNA prediction. Copyright © 2013 American Scientific Publishers.

关键词： RNA

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Optical flow computation based on spline functionals

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Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (engineering and Technology Edition) 2013年第SUPPL.1期43卷 165-168页

作者： Guo, Xiao-Xin Yang, Guang Xu, Zhi-Wen College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Jilin University Changchun 130012 China

A mathematical model using the spline functional as smooth constraints was presented. The second-and fourth-order partial differential equations constraints were two special cases in the model. The necessary condition for optical flow minimization problem solution was also presented. This model provided a basis for formal representation and numerical computation of optical flow from a methodological point of view. The significance of this mathematical model lay in the simplification of the equations for optical flow computation into linear algebraic equations. The simplification can contribute to discrete representation of the optical flow equation, and also verify that the use of smoothness constraints can ensure the existence and uniqueness of the solution from the view of the algebraic equations.

关键词： Optical flows

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Intensity preserving technology in image restoration

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Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (engineering and Technology Edition) 2013年第SUPPL.1期43卷 106-109页

作者： Guo, Xiao-Xin Xu, Zhi-Wen Che, Xiang-Jiu College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Jilin University Changchun 130012 China

A new approach of image restoration for the sequence of fluorescein angiography was proposed. First, the intensity constraint was incorporated into Miller regularization equation to obtain the ability to preserve the high intensity of pixels. Thus, the restored image would be influenced not only by the smoothness constraints, but also by the intensity constraints. Secondly, in the process of the restoration, we use an intensity template obtained from the pre-filtering procedure was used to achieve the intensity constraints. The template represented an image composed by the desired intensity value. The experiments show that the proposed scheme gains a better result in both high intensity preservation and image restoration.

关键词： Image reconstruction

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Speech separation in the vehicle environment based on fastICA algorithm

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Journal of Multimedia 2012年第1期7卷 33-40页

作者： Zhang, Jindong Qin, Guihe Liu, Ye College of computer science and technology Jilin University Changchun China Key Laboratory of Symbol Computation Knowledge Engineering of the Ministry of Education Changchun China

The speech interaction in-vehicle was mainly realized by the speech recognition. The human-machine interaction around was usually disturbed by the noise, and the speech received by the receiver was not the original pure speech, so compared to the pure environment, the accuracy of the speech recognition declined so sharply that it could not meet the demand of the practical application of human- machine interaction. So the speech recognition was required to have the strong adaptability and processing capacity to the speech with noise. In this paper, the FastICA algorithm in signal process and statistics was studied and used to separate the driver's speech in the vehicle environment, and realizes the pretreatment in recognizing driver's speech. The effectiveness of the method had been validated in actual vehicle experimental configuration. © 2012 Academy Publisher.

关键词： Speech processing

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Improving the Recommendation of Collaborative Filtering by Fusing Trust Network

Improving the Recommendation of Collaborative Filtering by F...

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International Conference on computational Intelligence and Security

作者： Bo Yang Pengfei Zhao Shuqiu Ping Jing Huang School of Computer Science and Technology Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Jilin University Changchun P.R.China

To accurately and actively provide users with their potentially interested information or services is the main task of a recommender system. Collaborative filtering is one of the most widely adopted recommender methods, whereas it is suffering the issue of sparse rating data that will severely degenerate the quality of recommendations. To address this issue, the article proposes a novel method, named the FTRA (Fusing Trust and Ratings), trying to improve the performance of collaborative filtering recommendation by means of elaborately integrating twofold sparse information, i.e., the conventional rating data given by users and the social trust network among the same users. The performance of FTRA is rigorously validated by comparing it with six representative methods on a real-world dataset. The experimental results show that the FTRA outperforms all other competitors in terms of both precision and recall. More importantly, our work suggests that the strategy of augmenting sparse rating data by fusing trust networks does significantly improve the quality of conventional collaborative filtering recommendation, and its quality could be further improved by means of designing more effective integrating schemes.

关键词： Collaboration Recommender systems Measurement Social network services Web sites Educational institutions

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A hybrid optimization algorithm for the multi-chromosomal reversal median problem

A hybrid optimization algorithm for the multi-chromosomal re...

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1st International Conference on engineering and Technology Innovation, ICETI 2011

作者： Zhang, Yi Zhang, Meng Department of Computer Science Jilin Business and Technology College Changchun 130062 China Military Simulation Technology Institute Air Force Aviation University Changchun130022 China Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education College of Computer Science and Technology Jilin University Changchun 130012 China

ISBN: (纸本)9783037853245

In this paper, we introduce a hybrid optimization algorithm with the Branch-and-Bound Method and the Ant Colony Optimization to solve the multi-chromosomal reversal median problem. We convert the large-scale genome into TSP maps at first. Then we use a hybrid optimization algorithm with the Branch-and-Bound Method and the Ant Colony Optimization to solve the problem. In our improved algorithm, we increase the search speed by implement multi-branch parallel search of ACO. Our extensive experiments on simulated datasets show that this median solver is efficient.

关键词： Ant colony optimization

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Improved cross-media relevance model for automatic image annotation

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ICIC Express Letters, Part B: Applications 2012年第5期3卷 1231-1237页

作者： Song, Haiyu Li, Xiongfei Wang, Pengjie Bao, Cuizhu Liu, Yongkui Xu, Lu Institute of Computer Graphics and Image Processing Dalian Nationalities University No. 18 Liaohe Road Economic and Technological Development Zone-Dalian 116600 China Key Laboratory of Symbol Computation and Knowledge Engineering Ministry of Education Jilin University No. 2699 Qianjin Avenue Changchun 130012 China

Automatic image annotation has been an active research topic in the last decade due to its potentially large impact on image retrieval, object recognition and image understanding. Many approaches have been proposed for image annotation in recent years. The most influential annotation model is relevance model, whose representative algorithm is Cross-Media Relevance Model (CMRM). In this paper, to overcome the shortcomings of the original CMRM, we propose improved CMRM. In the improved CMRM, the annotation word distribution is estimated using binary probability, the significance of blob is discriminately depicted using TF-IDF (term frequency-inverse document frequency) schemes, and the similarity measurement of blob is based on blob and continuousvalued feature vector. The experimental results on the standard Corel5K dataset show that our proposed approach outperforms the original CMRM by about 111% and 73% in terms of F1 and N+ measures respectively. The improved CMRM can get better performance in specific domains such as cultural heritage and special necessities digitization for ethnic minorities. © 2012 ICIC International.

关键词： Image retrieval

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Introducing system-centered ontology to hierarchical workflow abstraction modeling

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Journal of Convergence Information Technology 2012年第17期7卷 156-163页

作者： Shanwu, Sun Nan, Wang Hui, Li College of Management Science and Information Engineering Jilin University of Finance and Economics Changchun 130117 China Laboratory of Logistics Industry Economy and Intelligent Logistics Jilin University of Finance and Economics Changchun 130117 China College of Communication and Engineering Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of MOE Jilin University Changchun 130012 China

knowledge Reformulation and Abstraction model have been proposed to be a model of representation change that includes both syntactic reformulation and abstraction. We furthermore extended the process on the basis of the ontology classes and the mappings between them and particularly the concept of goal perception is proposed to formalize the goal-based hierarchical process of workflow abstraction modeling. This paper furthermore introduces system-centered ontology to formalize the hierarchical workflow modeling process. We propose the concept of workflow fragment-based ontology class and provide its hierarchical abstraction process respectively from the object-based perspective and the flow-based perspective, i.e., workflow fragment abstraction and workflow fragment aggregation. Workflow fragment-based ontology class gives the mechanism of system-centered knowledge learning, sharing and reuse to save the cost of redesign and remodeling of workflow models. The hierarchical workflow abstraction model based on workflow fragments (from the perspective on the basis of system-centered ontology) is constructed which is more abstract than based on object-centered and simplifies the reasoning.

关键词： Ontology

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Formalizing multi-domain workflow modeling process

International Journal of Digital Content Technology and its ...

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International Journal of Digital Content Technology and its Applications 2012年第15期6卷 28-34页

作者： Nan, Wang Shanwu, Sun Hui, Li College of Management Science and Information Engineering Jilin University of Finance and Economics Changchun 130117 China Laboratory of Logistics Industry Economy and Intelligent Logistics Jilin University ofFinance and Economics Changchun 130117 China College of Communication and Engineering Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation Knowledge Engineering of MOE Jilin University Changchun 130012 China

Abstraction is a pervasive behavior of people's perception, conceptualization and reasoning. The knowledge reformulation and abstraction model has been introduced to formalize the workflow abstraction modeling process which is an iterative learning process of "Perception-Abstraction". The concept of domain is introduced into the general knowledge reformulation and abstraction model to extensionally extend the reasoning ability. In this paper, we provide the process of multi-domain workflow abstraction modeling on the basis of the extended general knowledge reformulation and abstraction model. We think of the steps of the workflow as multi-domain tasks, i.e., they can play different roles in different workflows. By perceiving the tasks that work in multiple domains, we define the multi-domain tasks and through them build the multi-domain relations between different workflow, so that the multi-domain workflow perception is constructed which shows more reasoning perspectives than the single-domain workflow model.

关键词： Abstracting

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