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2009中国宁波国际计算机科学与技术学术大会

作者： Yong Wang Yanqin Zhu Xizhao Luo School of Computer Science and Technology Soochow University Jiangsu Provincial Key Lab of Computer Information Processing Technology

YCH scheme is a multi-secret sharing scheme based on two-variable one-way function and Shamir's threshold secret sharing scheme,but the scheme does not have the property of *** paper presents a verifiable multi-secret sharing scheme based on YCH scheme,RSA cryptosystem, and Schnorr *** dose not need a secure channel and each participant chooses his secret shadow by himself, and it can defend positive attack of dealer and participants.

关键词： Multi-Secret Sharing RSA Cryptosystem Schnorr Signature Verification

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AN IMPROVED(k,m)-DOT1n SCHEME FOR ARBITRARY K

AN IMPROVED(k,m)-DOT1n SCHEME FOR ARBITRARY K

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2009中国宁波国际计算机科学与技术学术大会

作者： Juan Xie Yanqin Zhu Xizhao Luo School of Computer Science and Technology Soochow University Jiangsu Provincial Key Lab of Computer Information Processing Technology

In (k,m) -DOT1n scheme, the sender's privacy can not be guaranteed,even if the protocol itself is security,if we can not ensure that a receiver gets information from at most k *** Naor and Pinkas's scheme, they give two solutions that are applicable for the case k >m/2,in Nikov et al.'s scheme, they avoid this problem by means of implementing a m-out-of-m access *** this paper,we put forward a settlement for arbitrary k, in which the receiver only can choose k servers to interactive and solve the problem getting the desired security.

关键词： Distributed Oblivious Transfer Polynomial Interpolation Privacy Preserving

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Semantic role lab.ling using Chinese dependency parsing tree

Semantic role labeling using Chinese dependency parsing tree

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IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS)

作者： Hongling Wang Xiaohong Yuan Guodong Zhou Jiangsu Provincial Key Lab for Computer Information Processing Technology Soochow University Suzhou China

Although recent years have seen much progress in semantic role lab.ling in English, only a little research focuses on Chinese dependency relationship. This paper presents an SRL system on Chinese dependency relation by using the similar method in an English SRL system. We also explore dependency-based predicate analysis in Chinese SRL. We perform our experiments on two datasets. Our results show that dependency-based Chinese SRL is not only feasible but also superior to the constituent-based SRL in some respects.

关键词： lab.ling Gold information processing computer science Data mining Feature extraction Educational programs Performance analysis Natural languages

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Secure and efficient VSS scheme based on partial broadcast channels

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Journal of Computational information Systems 2009年第3期5卷 1149-1155页

作者： Wang, Jialing Zhu, Yanqin Luo, Xizhao School of Computer Science and Technology Soochow University Suzhou 215006 China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Suzhou 215006 China

In the conventional verifiable secret sharing scheme, a dealer uses point-to-point secure channels to distribute the shares of a secret to a number of participants. Rei and Wang proposed a secret sharing scheme based on partial broadcast channels, which reduced the number of the channels. But it supposed that both the dealer and participants were honest. In this paper, we present a secure and efficient verifiable secret sharing (VSS) scheme based on partial broadcast channels, which solves the problem in Rei and Wang's scheme. Through the analysis of the scheme, we get that it is secure and efficient, and has the advantage of the number of channels and the total communications needed compared with the conventional verifiable secret sharing scheme. 1553-9105/ Copyright © 2009 Binary information Press.

关键词： Codes (symbols)

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Extracting Protein-Protein Interaction from Biomedical Text Using Additional Shallow Parsing information

Extracting Protein-Protein Interaction from Biomedical Text ...

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International Conference on BioMedical Engineering and Informatics (BMEI)

作者： Huanhuan Yu Longhua Qian Guodong Zhou Qiaoming Zhu Jiangsu Provincial Key Laboratory of Computer Information Processing Technology School of Computer Science and Technology Soochow University Suzhou China

This paper explores protein-protein interaction extraction from biomedical literature using support vector machines (SVM). Besides common lexical features, various overlap features and base phrase chunking information are used to improve the performance. Evaluation on the AIMed corpus shows that our feature-based method achieves very encouraging performances of 68.6 and 51.0 in F-measure with 10-fold pair-wise cross-validation and 10-fold document-wise cross-validation respectively, which are comparable with other state-of-the-art feature-based methods.

关键词： Data mining Proteins Kernel Support vector machines Biomedical computing Feature extraction Paper technology Birth disorders information processing computer science

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Image retrieval based on character-matching technology

Image retrieval based on character-matching technology

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5th International Conference on information Assurance and Security, IAS 2009

作者： Shan, Zhao Jing, Liu School of Computer Science and Technology Henan Polytechnic University Jiaozuo 454003 China Jiangsu Province Key Lab. on Image Processing and Image Communication Nanjing University of Posts and Communication Nanjing 210003 China

ISBN: (纸本)9780769537443

In order to introduce effective text-retrieval technologies into content-based image retrieval, a novel method based on string-matching technology was presented incorporating the different sensitivity along variant directions of human visual system. The image is firstly divided into non-overlapped blocks and sub-feature is extracted according to the human visual feature. Then, a novel descriptor is defined. Based on which, the sub-features is mapping into characters and the image into the text. Finally, the technology of the character string matching is adopted as the similarity measurement. Meantime, the situation information of character is considered, an adjusted method is proposed. Experimental results show that the proposed method has sound and robust retrieval performance. © 2009 IEEE.

关键词： Content based retrieval

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Identifying query interfaces of deep web entries automatically

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Journal of Computational information Systems 2009年第3期5卷 1477-1485页

作者： Cui, Zhiming Fang, Wei Huang, Li Xian, Xuefeng Zhang, Shukui Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Soochow University Suzhou 215006 China Institute of Intelligent Information Processing and Application Soochow University Suzhou 215006 China

A large number of high-quality web information is deeply hidden in the Web, which can not be indexed by conventional search engines, be called Deep Web. Because query interface is the only entrance to the Deep Web, we should find Deep Web query entries firstly. In this paper, we propose a new strategy that automatically and accurately identifies Deep Web entries based on Maximum Entropy and Bayes classifier from features that extracted from web form, link and page. Our experiments over real web pages show that the new approach can classify Deep Web entries accurately and efficiently. 1553-9105/ Copyright © 2009 Binary information Press.

关键词： Search engines

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Image retrieval based on bit-plane distribution feature

Image retrieval based on bit-plane distribution feature

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6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009

作者： Shan, Zhao Jing, Lui School of Computer Science and Technology Henan Polytechnic University Jiaozuo 454003 China Jiangsu Prov. Key Lab. on Image Processing and Image Communication Nanjing University of Posts and Communication Nanjing 210003 China

ISBN: (纸本)9780769537351

Based on the analysis of color histogram for image retrieval, a new descriptor, bit-plane distribution feature(BPDF), is proposed in this paper. The image is firstly divided into eight bit-planes. Meantime, the Gray code of bit-planes is used to avoid the effect of changes in the intensity values on bit-planes. Then, according to the distribution of each bit-plane, a feature vector is constructed by the first four significant planes which contain most of the structural information of the image. Finally, the Mahalanobis distance is adopted to measure the similarity because of the correlation between the concerned vectors after designing a correlation-weighted matrix. Comparisons are conducted between BPDF and other descriptors. Experimental results show that the proposed method provides more significantly retrieval results than the traditional ones. © 2009 IEEE.

关键词： Image retrieval

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An efficient strategy for enhancing robustness and immunization in wireless sensor networks

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Journal of Networks 2009年第3期4卷 170-177页

作者： Shu-Kui, Zhang Sheng-Rong, Gong Zhi-Ming, Cui Quan, Liu Institute of Computer Science and Technology Soochow University Suzhou 215006 China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Soochow University Suzhou 215006 China

To provide cost-effective protection for sensor networks, We introduce an immunization method where the percentage of required vaccinations for immunity are close to the optimal value of a targeted immunization scheme. Our strategy retains the advantage of being purely local, without the need of knowledge on the global network structure. The method consists of selecting the vertex with the highest degree within a distance d and asking for a neighbor that has more links than himself or more than a given threshold and immunizing him. Analysis and simulation results show that the above method is valid. It enhances network robustness against virus and provide useful hints in the search of optimal immunization strategies as the development and deploying of a sensor network system. © 2009 ACADEMY PUBLISHER.

关键词： Complex networks

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Exploring Syntactic Features for Pronoun Resolution Using Context-Sensitive Convolution Tree Kernel

Exploring Syntactic Features for Pronoun Resolution Using Co...

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International Conference on Asian Language processing (IALP)

作者： Kong Fang Yancui Li Guodong Zhou Qiaoming Zhu Jiangsu Provincial Key Lab for Computer Information Processing Technology School of Computer Science and Technology Soochow Univ. Suzhou China College of Information Technology Henan Institute of Science and Technology Xinxiang Henan China Jiangsu Provincial Key Lab. for Comput. Inf. Process. Technol. Soochow Univ. Suzhou Suzhou China

This paper proposes to use a convolution kernel over parse tree to model syntactic structure information for pronoun resolution. Our study reveals that the syntactic structure features embedded in a parse tree are very effective for pronoun resolution and these features can be well captured by the context-sensitive convolution tree kernel. Evaluation on the ACE 2003 corpus shows that among all structured syntactic feature space, shortest path tree achieves the best performance. Then we incorporate more features into SPT, result shows that SPT can use successfully with normal features. Finally, we compare our system with other pronoun resolution systems, our results are outstanding in success rate than normal features and tree kernel-based method of Yang.

关键词： Convolution Kernel information processing computer science Educational institutions information technology Paper technology Electronic mail Data mining lab.ling

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