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International Conference on Computer Design and Applications (ICCDA)

作者： Peida Xu Yong Deng Jianling Xu Xiaoyan Su Key Laboratory of Digital Agricultural Early-warning Technology Ministry of Agriculture of China Beijing China Key Laboratory of Intelligent Computing & Information Processing of Ministry of Education Xiangtan University China School of Electronics & Information Technology Shanghai Jiaotong University China School of Electronics & Information Technology Shanghai Jiaotong University Shanghai China Hangzhou Key Laboratory of E-Business and Information Security Hangzhou Normal University Shanghai Zhejiang China Grain Economics Institute Nanjing University of Finance and Economics Nanjing China

ISBN: (纸本)9781424471645;9781424471638

Risk evaluation is very important to the design and improvement of physical protection systems. In this paper, an evaluation method of multi-source information fusion is proposed based on the D-S evidence theory. In the proposed method, each individual component of the protection system in the simulated plane is modeled. Then, the threat report of each component according to the specific tactics is determined based on its real environment. Finally, the comprehensive threat distribution is obtained based on through the D-S evidence theory to combine multi-sources information. The proposed method can easily applied to the evaluation of the effectiveness of the protection system. We make the total threat of the protection system lowest through changes of the protection resources allocation. A numerical example is used to illustrate the efficiency of the proposed method.

关键词： Risk analysis Protection information security information technology Computer security Laboratories Environmental economics Educational technology Agriculture Finance

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Algorithm and axiomatization of rough fuzzy sets based finite dimensional fuzzy vectors

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中国高等学校学术文摘·计算机科学 2009年第4期3卷 560-568页

作者： Mingfen WU School of Information Science Wuyi UniversityJiangmen 529020China Key Laboratory of Intelligent Information Processing Institute of Computing TechnologyChinese Academy of SciencesBeijing 100190Ch

Rough sets,proposed by Pawlak and rough fuzzy sets proposed by Dubois and Prade were expressed with the different computing formulas that were more complex and not conducive to computer operations,In this paper,we use the composition of a fuzzy matrix and fuzzy vectors in a given non-empty finite universal,constitute an algebraic system composed of finite dimensional fuzzy vectors and discuss some properties of the algebraic system about a basis and *** give an effective calculation representation of rough fuzzy sets by the inner and outer products that unify computing of rough sets and rough fuzzy sets with a *** basis of the algebraic system play a key role in this *** give some essential properties of the lower and upper approximation operators generated by reflexive,symmetric,and transitive fuzzy *** reflexive,symmetric,and transitive fuzzy relations are charac terized by the basis of the algebraic system.A set of axioms,as the axiomatic approach,has been constructed to characterize the upper approximation of fuzzy sets on the basis of the algebraic system.

关键词： fuzzy vector fuzzy matrix fuzzy relation operation basis lower and upper approximation rough fuzzy sets unary operator

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Risk analysis of physical protection system based on evidence theory

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Journal of information and Computational Science 2010年第13期7卷 2871-2878页

作者： Xu, Peida Su, Xiaoyan Wu, Jiyi Sun, Xiaohong Zhang, Yajuan Deng, Yong College of Computer and Information Sciences Southwest University Chongqing 400715 China Hangzhou Key Lab of E-Business and Information Security Hangzhou Normal University Zhejiang 310036 China College of Food Science and Technology Shanghai Ocean University Shanghai 201306 China Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan University Hunan 411105 China Key Subject Laboratory of National defense for Radioactive Waste and Environmental Security Southwest University of Science and Technology Mianyang 621010 China School of Electronics and Information Technology Shanghai Jiao Tong University Shanghai 200240 China

关键词： information fusion

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intelligent science 1

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12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular computing, RSFDGrC 2009

作者： Shi, Zhongzhi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Science Kexueyuan Nanlu #6 Beijing 100190 China

ISBN: (数字)9783642106460

ISBN: (纸本)3642106455

Intelligence Science is an interdisciplinary subject which dedicates to joint research on basic theory and technology of intelligence by brain science, cognitive science, artificial intelligence and others. Brain science explores the essence of brain, research on the principles and models of natural intelligence at molecular, cellular, and behavior levels. cognitive science studies human mental activities, such as perception, learning, memory, thinking, consciousness etc. Artificial intelligence attempts simulation, extension, and expansion of human intelligence using artificial methods and technologies. Researchers specialized in above three disciplines work together to explore new concepts, theories, and methodologies. If successful, it will create a brilliant future in 21st century. The paper will outline the framework of intelligence science and present its ten big challenges. Tolerance Granular Space Model (TGSM) will be discussed as one of helpful approaches. © 2009 Springer-Verlag Berlin Heidelberg.

关键词： Artificial intelligence

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Lattice-based system combination for statistical machine translation

Lattice-based system combination for statistical machine tra...

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2009 Conference on Empirical Methods in Natural Language processing, EMNLP 2009, Held in Conjunction with ACL-IJCNLP 2009

作者： Feng, Yang Liu, Yang Mi, Haitao Liu, Qun Lü, Yajuan Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences P.O. Box 2704 Beijing 100190 China

Current system combination methods usually use confusion networks to find consensus translations among different systems. Requiring one-to-one mappings between the words in candidate translations, confusion networks have difficulty in handling more general situations in which several words are connected to another several words. Instead, we propose a lattice-based system combination model that allows for such phrase alignments and uses lattices to encode all candidate translations. Experiments show that our approach achieves significant improvements over the state-of-the-art baseline system on Chinese-to-English translation test sets. © 2009 ACL and AFNLP.

关键词： Natural language processing systems

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Weighted alignment matrices for statistical machine translation

Weighted alignment matrices for statistical machine translat...

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2009 Conference on Empirical Methods in Natural Language processing, EMNLP 2009, Held in Conjunction with ACL-IJCNLP 2009

作者： Liu, Yang Xia, Tian Xiao, Xinyan Liu, Qun Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences P.O. Box 2704 Beijing 100190 China

Current statistical machine translation systems usually extract rules from bilingual corpora annotated with 1-best alignments. They are prone to learn noisy rules due to alignment mistakes. We propose a new structure called weighted alignment matrix to encode all possible alignments for a parallel text compactly. The key idea is to assign a probability to each word pair to indicate how well they are aligned. We design new algorithms for extracting phrase pairs from weighted alignment matrices and estimating their probabilities. Our experiments on multiple language pairs show that using weighted matrices achieves consistent improvements over using n-best lists in significant less extraction time. © 2009 ACL and AFNLP.

关键词： Alignment

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Improving Tree-to-Tree Translation with Packed Forests

Improving Tree-to-Tree Translation with Packed Forests

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Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language processing of the AFNLP, ACL-IJCNLP 2009

作者： Liu, Yang Lü, Yajuan Liu, Qun Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences P.O. Box 2704 Beijing100190 China

ISBN: (纸本)9781617382581

Current tree-to-tree models suffer from parsing errors as they usually use only 1-best parses for rule extraction and decoding. We instead propose a forest-based tree-to-tree model that uses packed forests. The model is based on a probabilistic synchronous tree substitution grammar (STSG), which can be learned from aligned forest pairs automatically. The decoder finds ways of decomposing trees in the source forest into elementary trees using the source projection of STSG while building target forest in parallel. Comparable to the state-of-the-art phrase-based system Moses, using packed forests in tree-to-tree translation results in a significant absolute improvement of 3.6 BLEU points over using 1-best trees. © 2009 ACL and AFNLP.

关键词： Decoding

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Joint Decoding with Multiple Translation Models

Joint Decoding with Multiple Translation Models

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Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language processing of the AFNLP, ACL-IJCNLP 2009

作者： Liu, Yang Mi, Haitao Feng, Yang Liu, Qun Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences P.O. Box 2704 Beijing100190 China

ISBN: (纸本)9781617382581

Current SMT systems usually decode with single translation models and cannot benefit from the strengths of other models in decoding phase. We instead propose joint decoding, a method that combines multiple translation models in one decoder. Our joint decoder draws connections among multiple models by integrating the translation hypergraphs they produce individually. Therefore, one model can share translations and even derivations with other models. Comparable to the state-of-the-art system combination technique, joint decoding achieves an absolute improvement of 1.5 BLEU points over individual decoding. © 2009 ACL and AFNLP.

关键词： Decoding

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THE EFFECT OF SCALE TRANSFORMATION FOR HYPER SURFACE CLASSIFICATION METHOD

THE EFFECT OF SCALE TRANSFORMATION FOR HYPER SURFACE CLASSIF...

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2009 International Conference on Machine Learning and Cybernetics(2009机器学习与控制论国际会议)

作者： QING HE ZHONG-ZHI SHI XU-DONG MA FU-ZHEN ZHUANG The Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese The Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese

Hyper Surface Classification (HSC), which is based on Jordan Curve Theorem in Topology, has been proven to be a simple and effective method for classifying a large database in our previous work. In this paper, through theoretical analysis, we find that different scales may affect the training process of HSC, which influences its classification performance. To investigate the impact and find a suitable scale, the scale transformation of HSC is studied. The experimental results show that the accuracy increases with the shrinkage of the scale, but the effect is tiny. Furthermore, we find that some samples become inconsistent and repetitious when the scale is adequately small, because of the powerlessly providing enough precision by the data type of computer. Fortunately, HSC can get a high performance with common scales as experiments exhibit.

关键词： Hyper Surface Classification HSC Scale Transformation

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Unusual Pattern Detection Based on Hyper Surface and Minimum Spanning Tree

Unusual Pattern Detection Based on Hyper Surface and Minimum...

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2009 IEEE International Conference on information and Automation(2009年 IEEE信息与自动化国际学术会议)

作者： Qing He Weizhong Zhao Jincheng Li Zhongzhi Shi The Key Laboratory of Intelligent Information Processing Institute of Computing TechnologyChinese A The Key Laboratory of Intelligent Information Processing Institute of Computing TechnologyChinese A

More analysis has been done to discover the meaningful unusual patterns which may mean fraud or anomaly. In this paper, a novel unsupervised approach for discovering meaningful unusual observations is proposed. We firstly apply an unsupervised version of Hyper Surface Classification (HSC) algorithm to gain the separating hyper surface. It needs no domain knowledge but can not discover the local unusual pattern. To solve this problem, we additionally search the Minimum Spanning Tree (MST). Given the domain knowledge, a process of subdividing is proposed to detect unusual pattern in each Minimum Spanning Tree. Experimental results show that our approach can detect unusual patterns effectively, even some of which are overlooked by using the traditional clustering and outlier detection algorithms.

关键词： Detection algorithms Credit cards Pattern analysis Face detection Predictive models Automation Laboratories information processing Computers information analysis

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