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Multi-agent and workflow-based web service management model

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作者： Niu, Wenjia Dou, Quansheng Han, Xu Yang, Xinghua Shi, Zhongzhi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences 100080 Beijing China Graduate School of the Chinese Academy of Sciences 100039 Beijing China Shandong Institute of Business and Technology 264005 Yantai China

ISBN: (纸本)3642163262

The coordination between agent service and Web service is the key factor for intelligent Web service management in the multi-agent based Web service framework. In view of the drawbacks of existing coordination approaches for agent service and Web service, this paper proposed a multi-agent and workflow-based Web service management model. Through analyzing the interaction relations between agent service and Web service in the logical action-based task environment, a uniform task view for intelligent Web service is built. And based on such task view, a workflow towards special task is designed to realize intelligent Web service discovery and cooperation and composition. This model provides a more flexible Web service management. © 2010 IFIP.

关键词： Web services

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Numerical Simulation of GPR based on 3-D High-order FDTD

Numerical Simulation of GPR based on 3-D High-order FDTD

引用

第九届国际天线、电波传播及电磁理论学术研讨会(ISAPE2010)

作者： Zhi-xiang Huang Hong-mei Du Yi-cai Mei Xin-gang Ren Xian-liang Wu Key Lab of Intelligent Computing & Signal Processing Anhui University Ministry of Education Hefei Department of Physics and Electronic Engineering Hefei Normal University Hefei China

The high-order finite-difference time-domain (HO-FDTD) technique is used in the simulation of ground-penetrating radar modeling in three dimensions (3-D), which can improve accuracy and reduce the error caused by numerical dispersion effectively. To absorb waves reflected from edges we implement convolutional perfectly matched layer (CPML) absorbing boundaries. It can efficiently absorb the reflections and greatly increase the computation efficiency. The surface-based reflection and cross-hole GPR modeling are simulated, and numerical results show the efficiency of the method.

关键词： Materials

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Frequent term based peer-to-peer text clustering

Frequent term based peer-to-peer text clustering

引用

International Symposium on Knowledge Acquisition and Modeling, KAM

作者： Qing He Tingting Li Fuzhen Zhuang Zhongzhi Shi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences China Chinese Academy of Sciences China

Text clustering is an important technology for automatically structuring large document collections. It is much more valuable in peer-to-peer networks. The high dimensionality of documents means much more communication could be saved if each node could get the approximate clustering result by distributed algorithm instead of transferring them into a center and do the clustering. Most of the existing text clustering algorithms in unstructured peer-to-peer networks are based on K-means algorithm. A problem of those algorithms is that the clustering quality may decreased with the increase of the network size. In this paper, we propose a text clustering algorithm based on frequent term sets for peer-to-peer networks. It requires relatively lower communication volume while achieving a clustering result whose quality will not be affected by the size of the network. Moreover, it gives a term set describing each cluster, which makes it possible for people to have a clear comprehension for the clustering result, and facilitates the users to find resource in the network or manage the local documents in accordance with the whole network.

关键词： Copper

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A Network-based Approach for Protein Functions Prediction Using Locally Linear Embedding

A Network-based Approach for Protein Functions Prediction Us...

引用

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： Haifeng Zhao Dengdi Sun Rifeng Wang Bin Luo Key Lab of Intelligent Computing & Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei 230039 P.R.China

Inferring protein functions from different data sources is a challenging task in the post-genomic era, as a large number of crude protein structures from structural genomics project are now solved without their biochemical functions characterized. Recently, many different methods have been used to predict protein functions including those based on Protein-Protein Interaction (PPI), structure, sequence relationship, gene expression data, etc. Among these approaches, methods based on protein interaction data are very promising. In this paper, we studied a network-based method using locally linear embedding (LLE). LLE is a robust learning algorithm that manipulates dimensionality reduction, neighborhood-preserving embedding for high-dimensional data. We first embed both annotated and unannotated proteins in a low dimensional Euclidean space;then, we apply semi-supervised learning techniques to classify unannotated proteins into different functional groups. Finally, we made predictions to the unknown functional proteins in yeast. 5-fold cross validation is then applied to the GO terms to compare the performance of different approaches, and the proposed method performs significantly better than the others.

关键词： Bioinformatics Semisupervised learning Genomics Protein sequence Gene expression Learning systems Sun intelligent networks intelligent structures Computer networks

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International Conference on Bio-Inspired computing: Theories and Applications, BICTA

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

Randić 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(n 2 ), 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.

关键词： Rabbits Educational institutions Bovine Humans Sun DNA Mice

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Inferring Protein Annotation from Topological Structural Analysis on Protein Interaction Network

Inferring Protein Annotation from Topological Structural Ana...

引用

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： Dengdi Sun Jin Fan Haifeng Zhao Bin Luo Key Lab of Intelligent Computing & Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei 230039 P.R.China

As more and more high-throughput protein-protein interactions data are collected, a large fraction of newly discovered proteins have an unknown functional role. A challenge to the scientific community is to assign these newly proteins with a biological function that can be verified by experiment. On the basis of thorough analysis of existing protein function prediction, we take double direction enumeration method combined with the distance constrains to find protein pathway, and propose a new predicting model based on topological structural of protein-protein interaction (PPI) network and protein pathway, which greatly increases the speed of the algorithm. To validate the method, the Yeast Saccharomyces cerevisiae protein-protein interaction network and corresponding protein pathways are analyzed. Comparing with other methods, our results can substantially improve the accuracy and robustness of functional annotation.

关键词： Proteins Fungi Databases Computer networks Biological system modeling Predictive models Organisms signal analysis Sun intelligent networks

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Collaborative dual-PLSA: Mining distinction and commonality across multiple domains for text classification

Collaborative dual-PLSA: Mining distinction and commonality ...

引用

作者： Zhuang, Fuzhen Luo, Ping Shen, Zhiyong He, Qing Xiong, Yuhong Shi, Zhongzhi Xiong, Hui Key Laboratory of Intelligent Information Processing Institute of Computing Technology CAS China Graduate University of Chinese Academy of Sciences China Hewlett Packard Labs China China Innovation Work Australia MSIS Department Rutgers University United States

The distribution difference among multiple data domains has been considered for the cross-domain text classification problem. In this study, we show two new observations along this line. First, the data distribution difference may come from the fact that different domains use different key words to express the same concept. Second, the association be-tween this conceptual feature and the document class may be stable across domains. These two issues are actually the distinction and commonality across data domains. Inspired by the above observations, we propose a gen- erative statistical model, named Collaborative Dual-PLSA (CD-PLSA), to simultaneously capture both the domain dis-tinction and commonality among multiple domains. Dif-ferent from Probabilistic Latent Semantic Analysis (PLSA) with only one latent variable, the proposed model has two latent factors y and z, corresponding to word concept and document class respectively. The shared commonality in-tertwines with the distinctions over multiple domains, and is also used as the bridge for knowledge transformation. We exploit an Expectation Maximization (EM) algorithm to learn this model, and also propose its distributed ver-sion to handle the situation where the data domains are geographically separated from each other. Finally, we con-duct extensive experiments over hundreds of classification tasks with multiple source domains and multiple target do-mains to validate the superiority of the proposed CD-PLSA model over existing state-of-the-art methods of supervised and transfer learning. In particular, we show that CD-PLSA is more tolerant of distribution differences. ©Copyright The Ninth IEEE International Conference on Data Mining, 2009.

关键词： Semantics

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An Improved Wiener Filtering Algorithm Based On Dynamic Noise Power Spectrum Estimation

An Improved Wiener Filtering Algorithm Based On Dynamic Nois...

引用

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： Zhao Lv Xiaopei Wu Mi Li The First Aeronautical College of Air-Force Xinyang Henan Province China The Key Laboratory of In The Key Laboratory of Intelligent Computing & Signal Processing Anhui University Hefei Anhui Prov The First Aeronautical College of Air-Force Xinyang Henan Province China

The problem of enhancing speech degraded by uncorrelated additive noise, when only the noisy speech is available, has been widely studied in the past and it is still an active field of research. Wiener filter, which is the most fundamental approach, has been delineated in different forms and adopted in diversified applications. An improved wiener filtering algorithm is proposed in this study, which utilizes band-partitioning spectral entropy to achieve accurate and robust speech endpoint detection and a dynamic noise power spectrum is estimated for updating a priori SNR. Experimental results reveal that the proposed algorithm can extract the embedded speech segments from utterances containing a variety of background noise successfully.

关键词： Wiener filter Heuristic algorithms Filtering algorithms Spectral analysis Speech enhancement Additive noise Degradation Active noise reduction Entropy Noise robustness

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Preservative translations between logical systems

引用

作者： Shen, Yuming Ma, Yue Cao, Cungen Sui, Yuefei Wang, Ju Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences 100190 China Graduate University of Chinese Academy of Sciences 100049 China School of Computer Science and Information Engineering Guangxi Normal University 541004 China

ISBN: (纸本)3642163262

This paper investigates a subclass of translations between logical systems, called the preservative translations, which preserve the satisfiability and the unsatisfiability of formulas. The definition of preservative translation is given and connections between the preservative translation and other definitions of translations in the literature are discussed. Some properties of logical systems, such as the compactness and the decidability, which are characterized by the existence of preservative translations between logical systems are also studied. © 2010 IFIP.

关键词： Artificial intelligence

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Research on Network Chinese Pornography Characteristic and Corresponding Filtering System's Model

Research on Network Chinese Pornography Characteristic and C...

引用

International Conference on Internet Technology and Applications (iTAP)

作者： Yu-zhong Peng School of Computer & Information Engineering Key Laboratory of Scientific computing & intelligent information processing Guangxi Teachers Education University Nanning China

At present,the internet pornographic text is in varied forms and changeful, although it is prohibited ever. It severely harms people's mental and physical health development and social stability. There are IP-based,keyword-based and intelligent content analysis filtering system against it today. But they are difficult to deal with manifestations of diversity, changeful, and increasingly concealed porn. In this paper, a in-depth research has done for the appeared characteristics of such undesirable information on our statistical analysis. And based on this characteristics, a new text pre-processing algorithm PA-PTCI is proposed, and a effective model combined with content filtering technology to the current text information filtering pornography problem is designed. The experimental result shows the PA-PTCI algorithm and the model of Chinese pornography text filtering are quite effective.

关键词： Support vector machines Information filtering Educational institutions Internet Computational modeling Artificial intelligence

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