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Scan chain design for shift power reduction in scan-based testing

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Science china(Information Sciences) 2011年第4期54卷 767-777页

作者： LI Jia 1,HU Yu 2 & LI XiaoWei 2 1 The School of Software,Tsinghua University,beijing 100084,china 2 The institute of Computing technology,Chinese Academy of Sciences,beijing 100190,china 1. The School of Software Tsinghua University Beijing 100084 China2. The Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China

Test power of VLSI systems has become a challenging issue *** scan shift power dominates the average test power and restricts clock frequency of the shift phase,leading to excessive thermal accumulation and long test *** paper proposes a scan chain design technique to solve the above *** on weighted transition metric (WTM),the proposed extended WTM (EWTM) that is utilized to guide the scan chain design algorithm can estimate the scan shift power in both the shift-in and shift-out ***,the wire length overhead of the proposed scan chain design can also be reduced by the proposed distance of EWTM (DEWTM) *** results confirm that the proposed approach can significantly reduce scan shift power with low wire length overhead.

关键词： low power DfT scan-based testing test power reduction scan chain design

An improved cross-domain role mapping mechanism

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An improved cross-domain role mapping mechanism

HEST: A Hybrid-Language-Based Expert System Tool

2010 International Conference on Circuit and Signal Processing (ICCSP 2010) & 2010 Second IITA International Joint Conference on Artificial Intelligence (IITA-JCAI 2010)

作者： Jun Zheng,Yichun Chen School of computer Science and technology beijing institute of technology beijing 100081,china Qikun Zhang,Yuan TAN and Qiongxin Liu School of computer Science and technology beijing institute of technology beijing 100081,china

Aimed at the aberrations of inter-domain role mapping issues including privilege-aberration and role aberration,an improved inter-domain role mapping mechanism was purposed in this article,and it can guarantee the consistency of the user privilege and the relationships among *** makes utility of the role-privilege relation,and maintains a "permitted privilege list" and a "forbidden privilege list" for each role,and thus provides more flexibility for role mapping,and it can determine whether a certain role-mapping is legal within constant time using closure algorithm,and to make that algorithm more efficiency,a pre-calculation method is purposed.

关键词： role mapping inter-domain role-privilege utility

来源： cnki会议评论

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Journal of Systems Engineering and Electronics 1995年第3期6卷 25-30页

作者： Huang Houkuan Hao Jigang Wang Zhaoqi & Gao Feng( Dept. of computer Set., Northern Jiaotong University, beijing 100044, china)( Dept. of computer Set., Tsinghua University, beijing 100084, china)( computer center, Research institute No.701, Shanghai 201 Dept. of computer Sci. Northern Jiaotong University Beijing 100044 China Dept. of computer Sci. Tsinghua University Beijing 100084 China computer center Research Institute No.701 Shanghai 201103 China Dept. of computer Sci Harbin Engineering University Harbin 150001 China

HEST is a practical integrated expert system tool. Its basis is a knowledge programming language FFLL, characterized by a combination of fuzzy logic and function paradigms. The tool integrates alot of important knowledge processing capabilities such as fuzzy reasoning, function computation, knowledge compilation and explanation, knowledge base maintenance, as well as practical programming functions, e.g., editing, filing, compiling, module imbedding, etc., constructing, a user--friendly knowledge application environment, HEST can enable expert system development in various domaills quickly and *** paper gives an outline of the design and implementation of HEST.

关键词： Expert system tool Fuzzy logic Function paradigm Warren abstract machine

Salient region detection and segmentation for general object recognition and image understanding

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Science china(Information Sciences) 2011年第12期54卷 2481-2490页

作者： HUANG TieJun 1 , TIAN YongHong 1 , LI Jia 2 & YU HaoNan 11 National Engineering Laboratory for Video technology, School of Electrical Engineering and computer Science, Peking University, beijing 100871, china 2 Key Laboratory of Intelligent Information Processing, institute of Computing technology, Chinese Academy of Sciences, beijing 100190, china 1. National Engineering Laboratory for Video technology School of Electrical Engineering and Computer Science Peking University Beijing 100871 China2. Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China

General object recognition and image understanding is recognized as a dramatic goal for computer vision and multimedia retrieval. In spite of the great efforts devoted in the last two decades, it still remains an open problem. In this paper, we propose a selective attention-driven model for general image understanding, named GORIUM (general object recognition and image understanding model). The key idea of our model is to discover recurring visual objects by selective attention modeling and pairwise local invariant features matching on a large image set in an unsupervised manner. Towards this end, it can be formulated as a four-layer bottom-up model, i.e., salient region detection, object segmentation, automatic object discovering and visual dictionary construction. By exploiting multi-task learning methods to model visual saliency simultaneously with the bottom-up and top-down factors, the lowest layer can effectively detect salient objects in an image. The second layer exploits a simple yet effective learning approach to generate two complementary maps from several raw saliency maps, which then can be utilized to segment the salient objects precisely from a complex scene. For the third layer, we have also implemented an unsupervised approach to automatically discover general objects from large image set by pairwise matching with local invariant features. Afterwards, visual dictionary construction can be implemented by using many state-of-the-art algorithms and tools available nowadays.

关键词： object recognition image understanding visual saliency salient object segmentation visual dictionary

Communication network designing:Transmission capacity,cost and scalability

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Science china(Information Sciences) 2012年第11期55卷 2454-2465页

作者： ZHANG GuoQiang1,2,3 & ZHANG GuoQing1 1institute of Computing technology,Chinese Academy of Sciences,beijing 100190,china 2School of computer Science and technology,Nanjing Normal University,Nanjing 210046,china 3Provincial Key Laboratory for computer Information Processing technology,Soochow University,Suzhou 215000,china 1. institute of Computing technology Chinese Academy of Sciences Beijing 100190 China2. School of Computer Science and Technology Nanjing Normal University Nanjing 210046 China3. Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou 215000 China

Despite the growing number of works centering around the traffic dynamics on complex networks,these researches still have some common shortcomings,e.g.,too simple traffic flow model and lack of considerations for the designing cost and scalability *** paper builds on a more realistic traffic flow model,and offers a holistic view on the network designing *** addition to the extensively studied transmission capacity,this paper takes designing cost and scalability as two other designing objectives,and presents a quantitative study of how different designing choices independently and collectively influence these objectives by the introduction of a cartesian coordinate *** is shown that different kinds of network topologies display different shapes of achievable solution spaces and exhibit different abilities to achieve cost-effective and scalable *** particular,we find the philosophy underlying empirical network designing and engineering today fails to meet the cost-effective and scalable designing requirements,and propose a cost-effective and scalable designing scheme for BA-like networks,i.e.,the efficient routing combined with effective betweenness based link bandwidth *** addition,when designing a thoroughly new network from the beginning,we find that ER network is a good candidate to achieve cost-effective and scalable designing in most settings.

关键词： cost-effective communication network designing network transmission efficiency network topology traffic dynamics next generation network scalable network designing

Another ID-Based Proxy Signature Scheme and Its Extension

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Wuhan University Journal of Natural Sciences 2007年第1期12卷 33-36页

作者： ZHANG Jianhong1,2 , ZOU Wei3 1. College of Science, North china University of technology, beijing 100041,china 2. institute of Software of Chinese Academy of Sciences /State Key Laboratory of Information Security, beijing 100080, china 3. institute of computer Science and technology, Peking University, beijing 100871, china College of Science North China University of Technology Beijing China State Key Laboratory of Information Security Institute of Software of Chinese Academy of Sciences Beijing China institute of computer Science and technology Peking University Beijing China

So fur, the security of many proxy signatures has seldom been considered in a formal way and most of them cannot satisfy nonepudiation. In this work, a novel ID-based （Identity-based） proxy signature scheme is proposed by combining the proxy signature with ID-based public cryptography, and they formalize the notion of security for ID-based proxy signature schemes. And show that the security of the proposed scheme is secure. Compured with other proxy signature schemes, it does not need a secure channel. Thus, it is particularly suitable for the unreliable network computation environment. Finally, they extend proposed scheme to a proxy multi-signature which has the following advantages （1） the size of proxy multi- signature is independent of the number of delegating users; （2） the computation cost of proxy multi-signature only need two Weil paring.

关键词： proxy signature multisignature security proof

The Machine Recognition for Population Feature of Wheat Images Based on BP Neural Network

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Agricultural Sciences in china 2002年第8期1卷 885-889页

作者： LI Shao-kun, SUO Xing-mei, BAI Zhong-ying, QI Zhi-li, Liu Xiao-hong, GAO Shi-ju and ZHAO Shuang-ning( institute of Crop Breeding and Cultivation /Key Laboratory of Crop Genetic & Breeding, Ministry of Agriculture, ChineseAcademy of Agricultural Sciences, beijing 100081 , P . R . china Department of computer Science and technology, CentralUniversity for Nationalities, beijing 100081 , P. R . china School of computer Science and technology, beijing Universityof Posts and Telecommunications, beijing 100876, P. R . china Research center of Xinjiang Crop High-yield,Shihezi University, Shihezi 832003, P.R. china) institute of Crop Breeding and Cultivation/Key Laboratory of Crop Genetic (ж) Breeding Ministry of Agriculture Chinese Academy of Agricultural Sciences Beijing 100081 P.R.China Research center of Xinjiang Crop High-yield Shihezi University Shihezi 8 Department of computer Science and technology Central University for Nationalities Beijing 100081 P. R . China School of computer Science and technology Beijing University of Posts and Telecommunications Beijing 100876 P. R . China institute of Crop Breeding and Cultivation/Key Laboratory of Crop Genetic (ж) Breeding Ministry of Agriculture Chinese Academy of Agricultural Sciences Beijing 100081 P. R . China

Recognition and analysis of dynamic information about population images during wheat growth periods can be taken for the base of quantitative diagnosis for wheat growth. A recognition system based on self-learning BP neural network for feature data of wheat population images, such as total green areas and leaves areas was designed in this paper. In addition, some techniques to create favorable conditions for image recognition was discussed, which were as follows: (1) The method of collecting images by a digital camera and assistant equipment under natural conditions in fields. (2) An algorithm of pixel labeling was used to segment image and extract feature. (3) A high pass filter based on Laplacian was used to strengthen image information. The results showed that the ANN system was availability for image recognition of wheat population feature.

关键词： Wheat Population Leaves areas Image recognition BP neural network

SOME ALGORITHMS IN GRAPHICS AND IMAGE PROCESSING

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Science in china,Ser.A 1988年第2期31卷 234-246页

作者：唐守文 Department of computer Science beijing computer institute

In this paper, we present an O（logN） space algorithm and an O(N1/2. logN) space, O（NlogN） time algorithm to deal with the filling problem and components counting problem. Besides, we give a fast parallel algorithm... 详细信息

关键词： mode length 关关 SOME ALGORITHMS IN GRAPHICS AND IMAGE PROCESSING

A new method of special words identification in security filtering

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A new method of special words identification in security fil...