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作者： Zhang, Zhizheng School of Computer Science and Engineering Southeast University Nanjing China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Suzhou University China

ISBN: (纸本)9781577355014

We propose a new interpretation for a certain kind of ASO preference rules to handling prioritized symptoms. Our interpretation is based on the idea of dependence based priority propagation. Then, we present a fixpoint based answer set optimization method under such an interpretation. Copyright © 2011, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Artificial intelligence

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Fuzzy inference mechanism based automatic elastic registration of two-dimensional gel electrophoresis images

Fuzzy inference mechanism based automatic elastic registrati...

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2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, Jointly with the 2011 7th International Conference on Natural Computation, ICNC'11

作者： Deng, Zhaohong Shitong Wang Qun Gao Yonghui Pan School of Digital Media Jiangnan University Jiangsu Wuxi China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Jiangsu Suzhou China Jiangsu Engineering R and D Center for Information Fusion Software Jiangsu Jiangyin China

ISBN: (纸本)9781612841816

A key technique for protein analysis is the geometric alignment of two-dimensional polyacrylamide gel electrophoresis (2-D PAGE), i.e. 2-D PAGE image registration. In this study, according to the characteristics of 2-D gel image registration, a fuzzy-inference-rule based flexible model (FIM-FM) is proposed to model the complex geometric transformation and intensity variation between 2-D gel image pairs. Then, by introducing the concept of motion estimation and the corresponding sum-of-squared-difference (SSD) objective function, the parameter learning rules of the proposed model are derived for registration. Accordingly, an adaptive FIR-FM-based automatic elastic image registration algorithm is presented for 2-D gel image registration here. It is distinguished by its strong ability in approximating complex nonlinear transformation inherited from fuzzy inference and its efficiency and adaptability in obtaining precise model parameters through effective parameter learning rules. Our experiments show that the proposed algorithm is highly effective for registration of 2-D gel images. © 2011 IEEE.

关键词： Fuzzy inference

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Developing software using a novel event-condition-state pattern framework: Taking mobile input method system As A Case Study

Journal of Software

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Journal of Software 2011年第8期6卷 1506-1512页

作者： Zhu, Fei Diao, Hongjun Huang, Wei School of Computer Science and Technology Soochow University Suzhou Jiangsu 215006 China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou Jiangsu 215006 China

Design patterns add more reliability, flexibility and reusability to a software system. Taking advantage of design patterns is usually beneficial to software design and makes software development relatively easier. The state pattern proposed by GoF is not a determined design and can hardly be transformed into implementation code directly. It is disable to cope with sophisticated response event either. Hereby we propose a novel event-conditionstate pattern framework, an event-based finite state machine. The framework improves GoF state pattern by resegmenting Context into two classes, one for management and the other for operation interface. Essential components for implementation, such as management, state transferring, and event triggering mechanism, are also taken into consideration in the framework. We use pattern framework to develop a thirty party input method system which has a Windows Mobile system version and a Symbian system version separately. We rewrote Context part related with system interfaces in the two different systems, and encapsulated the part related with internal logic of input method by concrete subclasses, thus avoiding redundant developing work in both systems and providing convenience for later synchronous updating and maintenance of two input methods. With the pattern framework, much effort during software development is saved. The development logic seems simpler and clearer. As a result, the whole development process is simplified. © 2011 ACADEMY PUBLISHER.

关键词： Software design

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Privacy preservation in role-based access control model

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Journal of Networks 2011年第8期6卷 1106-1113页

作者： Chen, Zuo Yang, Qiuwei Wan, Xin Tu, Yuanyan Yu, Fei Xu, Chen School of Computer and Communication Hunan University Changsha China Jiangsu Provincial Key Laboratory for Computer Information Processing Technology Soochow University Soochow China

Privacy preservation is a crucial problem in resource sharing and collab.rating among multi-domains. Based on this problem, we propose a role-based access control model for privacy preservation. This scheme avoided the privacy leakage of resources while implementing access control, and it has the advantage of lower communication overhead. We demonstrate this scheme meets the IND-CCA2 semantic security by using random oracle. The simulation result shows this scheme has better execution efficiency and application effects. © 2011 ACADEMY PUBLISHER.

关键词： Cryptography

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Enriched format text categorization using a component similarity approach

Journal of Software

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Journal of Software 2011年第9期6卷 1713-1720页

作者： Zhu, Fei Yang, Jiong Zhou, Yong School of Computer Science and Technology Soochow University Suzhou Jiangsu 215006 China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou China

Text categorization has been widely studied for years. However, conventional plain text categorization approaches which work good in plain text behave poor when they are simply applied to enriched format texts. An categorization approach that is applicable to enriched format text is proposed. During feature selection, we get feature structure distribution weight by using extended structure model so that structure affections to categorization are fully considered. Text formats are also taken into account in feature weighting. The combined feature weighting approach strengthens important parts and weakens less important ones. The text categorization is fulfilled by document component similarity, which first decomposes document, gathers features by components and other user-defined rules, completes document component tree, and then achieves categorization by it. We implement a CSBC based Naïve Bayes classifier in which the final result is the combination of all classifiers of component tree. Finally we parse *** document, draw components that are most related to classification from *** documents, and then use the classifier to categorize *** documents. The experiment results show that the classifier can automatically classify *** documents and work quite well. © 2011 ACADEMY PUBLISHER.

关键词： Classifiers

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Automated trust negotiation with time behavior

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Journal of Networks 2011年第8期6卷 1091-1098页

作者： Chen, Zuo Yang, Qiuwei Wan, Xin Tu, Yuanyan Yu, Fei Xu, Chen School of Computer and Communication Hunan University Chang sha China Jiangsu Provincial Key Laboratory for Computer Information Processing Technology Soochow University Soochow China

In automated trust negotiation(ATN), strangers build trust relationship by disclosing attributes credentials alternately. In the recent study of ATN, there was no rigorous formal definition of ATN abstract model, and have nothing to do with the time behavior. It exist denial of service attack which can lead system to paralysis. We present the basic components of ATN abstract model. It defines ATN abstract model by bringing state-transition system. Based on this formalized basis, the time behavior will be explored. We analyze and discuss some time semantics of ATN, and describe the extended ATN by constructing a state-transition system with time behavior. It can describe the ATN abstract model more comprehensive and secure. The satiability of security policies in ATN is discussed. © 2011 ACADEMY PUBLISHER.

关键词： Denial-of-service attack

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Assigning method for decision power based on linguisitc 2-tuple judgment matrices

Journal of Software

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Journal of Software 2011年第3期6卷 508-515页

作者： Zhang, Xixiang Yue, Guangxue Zheng, Xiajie Yu, Fei Business School of Jiaxing University Jiaxing China Mathematics and Information Engineering School of Jiaxing University Jiaxing China Department of Computer Science and Technology Huaihua University Huaihua China Jiangsu Provincial Key Laboratory for Computer Information Processing Technology Soochow University Soochow China

Decision power is very important in group decision making, which effects the final decision making result. When there exists uncertainty in group decision making, it is easy for an expert to express his/her preferences using fuzzy linguistic term such as 'good', 'very good'. The linguistic 2-tuple representation model was selected to represent fuzzy linguistic term for its accuracy in representing fuzzy terms and less loss of information in processing. To obtain the objective decision power in group decision making where the experts express their opinions using linguistic 2-tuple judgment matrices, the paper put forward a new approach to assign decision power based on element consistency level. And the method for calculating the contribution degree of each expert was also provided. The proposed method thought of calculating the different weight to aggregate different element according to the element consistent level. An illustrated example was used to demonstrate the proposed method. And a GDSS based on the method was also developed to simplify the application in ***. The GDSS was applied to building non-financial performance system for listed company in small and medium enterprise board in China, which showed its reasonability. © 2011 ACADEMY PUBLISHER.

关键词： Linguistics

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A Survey of Game Theory in Wireless Sensor Networks Security

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Journal of Networks 2011年第3期6卷 521-532页

作者： Shen, Shigen Yue, Guangxue Cao, Qiying Yu, Fei College of Information Science and Technology Donghua University Shanghai China College of Mathematics and Information Engineering Jiaxing University Jiaxing China College of Computer and Communication Hunan University Changsha China Department of Computer Science and Technology Huaihua University Huaihua China Jiangsu Provincial Key Laboratory for Computer Information Processing Technology Soochow University Soochow China

Wireless Sensor Networks (WSNs) are becoming an integral part of our lives. There are not widespread applications of WSNs without ensuring WSNs security. Due to the limited capabilities of sensor nodes in terms of computation, communication, and energy, providing security to WSNs is challenging. In fact, the process of implementing WSNs security is adaptive and dynamic, which evolves continually. The essence of attack-defend in WSNs security can be expressed by mutual strategies of interdependence while game theory can be used for the purpose of accounting for interactions among strategies of rational decision makers. Therefore, studying WSNs security with game theory has higher scientificity and rationality. This paper presents a survey of security approaches based on game theory in WSNs. According to different applications, a taxonomy is proposed, which divides current existing typical game-theoretic approaches for WSNs security into four categories: preventing Denial of Services (DoS) attacks, intrusion detection, strengthening security, and coexistence with malicious sensor nodes. The main ideas of each approach are overviewed while advantages and disadvantages of various approaches are discussed. Then, this paper overviews related work and highlights the difference from other surveys, and points out some future research areas for ensuring WSNs security based on game theory, including Base Station (BS) credibility, Intrusion Detection System (IDS) efficiency, WSNs mobility, WSNs Quality of Service (QoS), real-world applicability, energy consumption, sensor nodes learning, and expanding game theory applications and different games. Thus, a global view of WSNs security approaches based on game theory is provided. To our best knowledge of knowing, it is the first paper centrally focusing on game theory in WSNs security. It will make the researchers a better understanding of game-theoretic solutions to WSNs security and further research directions. © 2011 ACADEMY PU

关键词： Game theory

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A tree kernel-based unified framework for Chinese zero anaphora resolution

A tree kernel-based unified framework for Chinese zero anaph...

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Conference on Empirical Methods in Natural Language processing, EMNLP 2010

作者： Kong, Fang Zhou, Guodong JiangSu Provincial Key Lab. for Computer Information Processing Technology School of Computer Science and Technology Soochow University China

ISBN: (纸本)1932432868

This paper proposes a unified framework for zero anaphora resolution, which can be divided into three sub-tasks: zero anaphor detection, anaphoricity determination and antecedent identification. In particular, all the three sub-tasks are addressed using tree kernel-based methods with appropriate syntactic parse tree structures. Experimental results on a Chinese zero anaphora corpus show that the proposed tree kernel-based methods significantly outperform the feature-based ones. This indicates the critical role of the structural information in zero anaphora resolution and the necessity of tree kernel-based methods in modeling such structural information. To our best knowledge, this is the first systematic work dealing with all the three sub-tasks in Chinese zero anaphora resolution via a unified framework. Moreover, we release a Chinese zero anaphora corpus of 100 documents, which adds a layer of annotation to the manually-parsed sentences in the Chinese Treebank (CTB) 6.0. © 2010 Association for Computational Linguistics.

关键词： Trees (mathematics)

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Topic-driven multi-document summarization

Topic-driven multi-document summarization

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International Conference on Asian Language processing

作者： Wang, Hongling Zhou, Guodong Jiangsu Provincial Key Lab. for Computer Information Processing Technology School of Computer Science and Technology Soochow University Suzhou 215006 China

ISBN: (纸本)9780769542881

This paper presents a topic-driven framework for generating a generic summary from multi-documents. Our approach is based on the intuition that, from the statistical point of view, the summary's probability distribution over the topics should be consistent with the multi-documents'probability distribution over the inherent topics. Here, the topics are defined as weighted "bag-of-words" and derived by Latent Dirichlet Allocation from a collection of documents, either the given multi-documents or a related large-scale corpus. In this sense, we could represent various kinds of text units, such as word, sentence, summary, document and multi-documents, using a single vector space model via their corresponding probability distributions over the derived topics. Therefore, we are able to extract a sentence or summary by calculating the similarity between a sentence/summary and the given multi-documents via their topic probability distributions. In particular, we propose two methods in similarity measurement: the static method and the dynamic method. While the former is employed to detect the salience of information in a static way, the later further controls redundancy in a dynamic way. In addition, we integrate various popular features to improve the performance. Evaluation on the TAC 2008 update summarization task shows encouraging results. © 2010 IEEE.

关键词： Probability distributions

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