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2011 7th International Conference on Natural Computation, ICNC 2011

作者： Wang, Zhenxin Ouyang, Jihong Liu, Zeyang Li, Xueyan College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation Knowledge Engineering of Ministry of Education Jilin University Changchun 130012 China College of Electronic Science and Engineering Jilin University Changchun 130012 China Economics School of Jilin University Changchun 130012 China

ISBN: (纸本)9781424499533

This paper presents a novel representation and matching method for deformable shapes. The proposed approach finds most expressive segments of a deformable shape category called similar and discriminative parts, which is able to distinguish the learned shape class from other groups. And it leads a learning strategy together with a matching algorithm. Then we test our method with MPEG-7 data set. © 2011 IEEE.

关键词： Deformation

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Formal Analysis of Trusted Computing: One Case Study

Formal Analysis of Trusted Computing: One Case Study

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WRI International Conference on Communications and Mobile Computing, CMC

作者： HongWei Zhou JinHui Yuan Key Laboratory of Data Engineering and Knowledge Engineering Ministry of Education Beijing China School of Information Renmin University of China Beijing China Institute of Electronic Technology Zhengzhou Information Engineering University of China Zhengzhou China

LS 2 is the logic to reason about the property of trusted computing. However, it lacks the capability of modeling the isolation provided by virtualization which is often involved in previous trusted computing system. With the support of changed LS 2 , we model three types of isolation. Moreover, we formally analyze the integrity measurement property of TrustVisor proposed recently which provides the isolated execution environment for security-sensitive code.

关键词： TV Computational modeling Analytical models Virtual machining Time measurement Access control

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B-IRP: An Improving Integrity Report Protocol for Remote Attestation

B-IRP: An Improving Integrity Report Protocol for Remote Att...

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WRI International Conference on Communications and Mobile Computing, CMC

Trusted platform module (TPM) has little computation capability, and it is the performance bottleneck of remote attestation. In the scenario where the server is the attestation-busy entity which answers attestation requirement frequently, the massive delay is inevitable. Without the modification to TPM, we propose Batch Integrity Report Protocol (BIRP) to overcome the performance bottleneck. B-IRP bundles these requirements in interval as a batch requirement, and creates the response messages for these requirements with one expensive TPM operation. Discussion shows that B-IRP has improved the performance without loss of security.

关键词： Protocols Servers Security Software Software measurement Computer architecture Delay

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H function based tamper-proofing software watermarking scheme

Journal of Software

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Journal of Software 2011年第1期6卷 149-155页

作者： Zhu, Jianqi Liu, Yanheng Wang, Aimin Yin, Kexin College of Computer Science and technology Ministry of Education Jilin University Changchun China Key Laboratory of Computation and Knowledge Engineering Ministry of Education Jilin University Changchun China College of computer and science and engineering ChangChun University of Technology Changchun China

A novel constant tamper-proofing software watermark technique based on H encryption function is presented. First we split the watermark into smaller pieces before encoding them using CLOC scheme. With the watermark pieces, a many-to-one function (H function) as the decoding function is constructed in order to avoid the pattern-matching or reverse engineering attack. The results of the function are encoded into constants as the parameters of opaque predicates or appended to the condition branches of the program to make the pieces relevant. The feature of interaction among the pieces improves the tamper-proofing ability because there being one piece destroyed, the program will not work correctly. The simulation shows that the performance of the proposed scheme is good and can resist many kinds of attacks. © 2011 ACADEMY PUBLISHER.

关键词： Pattern matching

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A NEW HYBRID COLLECTIVE CLASSIFICATION METHOD BASED ON RANDOM WALK AND LINK PATTERN

A NEW HYBRID COLLECTIVE CLASSIFICATION METHOD BASED ON RANDO...

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2011 IEEE International Conference on Cloud Computing and Intelligence Systems(2011年第一届IEEE云计算与智能系统国际会议 IEEE CCIS2011)

作者： Lina Li Jihong Ouyang Dayou Liu Hong Qi Huiling Chen Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education College of Computer Science and Technology Jilin University Changchun China

Collective classification, which is represented to classify unobserved nodes simultaneously in networked data is becoming an important research area with applications in several domains, such as the classification of documents, image processing. Most algorithms are based on the hypothesis that nearby nodes tend to have the same label. However, there are many networks that do not necessarily satisfy this hypothesis. In this paper, we present a new method based on random walk and link pattern of the network. It adopts the pseudoinverse laplacian matrix of the graph as similarity measure to identify nearby nodes and assigns an initial label for each unlabeled node, then iteratively update the label of unlabeled nodes based on the link pattern. The experimental results on two real world datasets demonstrate that the proposed method outperforms the other state-of-art approaches for this problem.

关键词： collective classification random walk link pattern networked data

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Visual group identification method of technical competitors using LinLog graph clustering algorithm

Visual group identification method of technical competitors ...

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IEEE International Conference on Computer Science and Automation engineering (CSAE)

作者： Hong-qi Han Xiaomi An Donghua Zhu Xuefeng Wang Key Laboratory of Data Engineering and Knowledge Engineering (Renmin University of China) Ministry of Education School of Information Resource Management Beijing 100872 China School of Management and Economics Beijing Institute of Technology 100872 China

Visualization technique is a powerful method used by science and technology intelligence analysis experts to identify technical competitor groups. Common visualization methods tend to create graphs meeting the aesthetic criteria instead of finding better clusters, and their analysis results may provide misleading information. A process model of technical group identification method was presented using LinLog graph clustering algorithm to find better competitor groups. In the model, technical similarity value of each pair of competitors is measured based on their R&D output in sub-fields, and two competitors have a link when they have high similarity value; LinLog algorithm, which is aimed at producing better clusters, was employed to layout graph with competitors as nodes, their links as edges and technology similarity values as weights of edges. Experiment results show the efficiency of presented method.

关键词： Clustering algorithms Patents Algorithm design and analysis Visualization Springs Layout Companies

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A kind of improving HMM model and using in the visual speech recognition

A kind of improving HMM model and using in the visual speech...

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2011 International Conference on Computer Science and Service System, CSSS 2011

作者： Zhang, Zeliang Li, Xiongfei Yang, Chengjia Key Laboratory of Symbol Computation and Knowledge Engineering Ministry of Education Jilin University Changchun China Beihua University Jilin China

ISBN: (纸本)9781424497638

Visual speech-lip reading, making the computer understands what do speakers want to express through observing the lip direction of them. The most simply method of lip reading in early stage is to compare between characters from the frozen pictures and templates being stored. It neglects the character is changing with time. This method is very simply, but it only can classify the simple elements not the words, so it couldn't render great serves to speech recognition. Afterwards the adoption of behavioral characteristics is becoming more widespread. Because of the superior of Hidden Markov model (HMM), it can be applied in speech recognition widely. In recent years, it is also used in the research of lip-reading recognition. The classical HMM model makes two hypotheses: hidden expropriation hypothesis: the state at t+1 is only conditioned by the state at t, not the state before;the expropriation hypothesis from hidden state to visible state: the visible state at t only conditioned by the hidden state at t, not the state before. Such kind of hypothesis is not very reasonable in some practical application (such as lip-reading). In some kind condition, the state at t is not only conditioned by t-1, but also t-2. Therefore this thesis revises the assumed condition classical HMM to derive a new HMM model and algorithm, and applying it into lip-reading recognition to increase the discrimination. © 2011 IEEE.

关键词： Hidden Markov models

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A kind of improving HMM model and using in the visual speech recognition

A kind of improving HMM model and using in the visual speech...

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International Conference on Computer Science and Service System (CSSS)

作者： Zeliang Zhang Xiongfei Li Chengjia Yang Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China Beihang University Jilin China

Visual speech-lip reading, making the computer understands what do speakers want to express through observing the lip direction of them. The most simply method of lip reading in early stage is to compare between characters from the frozen pictures and templates being stored. It neglects the character is changing with time. This method is very simply, but it only can classify the simple elements not the words, so it couldn't render great serves to speech recognition. Afterwards the adoption of behavioral characteristics is becoming more widespread. Because of the superior of Hidden Markov model (HMM), it can be applied in speech recognition widely. In recent years, it is also used in the research of lip-reading recognition. The classical HMM model makes two hypotheses: hidden expropriation hypothesis: the state at t+1 is only conditioned by the state at t, not the state before; the expropriation hypothesis from hidden state to visible state: the visible state at t only conditioned by the hidden state at t, not the state before. Such kind of hypothesis is not very reasonable in some practical application (such as lip-reading). In some kind condition, the state at t is not only conditioned by t-1, but also t-2. Therefore this thesis revises the assumed condition classical HMM to derive a new HMM model and algorithm, and applying it into lip-reading recognition to increase the discrimination.

关键词： Hidden Markov models Viterbi algorithm Speech recognition knowledge engineering Laboratories Electronic mail Medical services

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Community Mining in Dynamic Social Networks-Clustering Based Improved Ant Colony Algorithm

Community Mining in Dynamic Social Networks-Clustering Based...

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The 6th International Conference on Computer Science & education(第六届国际计算机新科技与教育学术会议 ICCSE 2011)

作者： Zhang Nan Wang Zhe Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education College of Computer Science and Technology Jilin University Changchun China

Community mining has been the focus of many recent researches on dynamic social networks. In this paper, we propose a clustering based improved ant colony algorithm (CIACA) for community mining in social networks. The CIACA combines the local pheromone update rule with the global update rule and utilizes heuristic function to adjust the clustering solution dynamically, assisted by decay coefficient of dynamic network model. In order to improve clustering accuracy and convergence rate in the process of ant migration, a structure tightness between nodes based clustering centers initializing method is proposed, which can provide us initial clustering centers with certain clustering precision and high diversity. In addition, random number and specific parameter are used in the ant transition probability, which strengthens the search stochastic properties of CIACA effectively. The proposed CIACA is tested on some benchmark social networks, and is compared with current representative algorithms in community mining. Experimental results show the feasibility and validity of CIACA.

关键词： complex network community mining ant colony algorithm clustering

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An Approach for Calculating Semantic Similarity between Words Using WordNet

An Approach for Calculating Semantic Similarity between Word...

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International Conference on Digital Manufacturing and Automation (ICDMA)

作者： Dou Hao Wanli Zuo Tao Peng Fengling He College of Computer Science and Technology Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Jilin University Changchun China

This paper presents a new edge-counting based method using Word Net to compute the similarity. The method achieves a similarity that perfectly fits with human rating and effectively simulate the human tHought process that is people prefer to consider more differences when the semantic distance between two word is closer, and vice versa. At last, we weigh up our model against a benchmark set by human similarity judgment, and obtain a much improved result compared with other methods.

关键词： Semantics Humans Computational modeling Correlation educational institutions Benchmark testing Smoothing methods

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