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An associative memory system for incremental learning and temporal sequence

An associative memory system for incremental learning and te...

2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010

作者： Shen, Furao Yu, Hui Kasai, Wataru Hasegawa, Osamu State Key Laboratory for Novel Software Technology Jiangyin Information Technology Research Institute Nanjing University Nanjing 210093 China Department of Computer Intelligence and Systems Science Tokyo Institute of Technology Yokohama 226-8503 Japan Imaging Science and Engineering Lab. Tokyo Institute of Technology R2-52 4259 Nagatsuda Midori-ku Yokohama 226-8503 Japan

ISBN: (纸本)9781424469178

An associative memory (AM) system is proposed to realize incremental learning and temporal sequence learning. The proposed system is constructed with three layer networks: The input layer inputs key vectors, response vectors, and the associative relation between vectors. The memory layer stores input vectors incrementally to corresponding classes. The associative layer builds associative relations between classes. The proposed method can incrementally learn key vectors and response vectors;store and recall both static information and temporal sequence information;and recall information from incomplete or noise-polluted inputs. Experiments using binary data, real-value data, and temporal sequences show that the proposed method works well. © 2010 IEEE.

关键词： Vectors

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Middleware Support for Context-awareness in Asynchronous Pervasive Computing Environments

Middleware Support for Context-awareness in Asynchronous Per...

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IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC

作者： Jianping Yu Yu Huang Jiannong Cao Xianping Tao Department of Computer Science and Technology Nanjing University Nanjing China State Key Laboratory for Novel Software Technology Nanjing University Nanjing China Internet and Mobile Computing Lab Department of Computing Hong Kong Polytechnic University Hong Kong China

Context-awareness is an essential feature of pervasive applications, and runtime detection of contextual properties is one of the primary approaches to enabling context awareness. However, existing context-aware middleware does not provide sufficient support for detection of contextual properties in asynchronous environments. We argue that in asynchronous environments, the concept of time needs to be reexamined. Instead of assuming the availability of global time or synchronous interaction, we should rely on logical time. To this end, we present the Middleware Infrastructure for Predicate detection in Asynchronous environments (MIPA), which supports context-awareness based on logical time. Design and operation of MIPA are explained in detail. We also evaluate MIPA with a comprehensive case study. The evaluation results show the cost-effectiveness and scalability of MIPA.

关键词： Context Radiofrequency identification Context modeling Middleware Memory management Pervasive computing

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Iterative Design of MIMO Radar Transmit Waveforms and Receive Filter Bank

Iterative Design of MIMO Radar Transmit Waveforms and Receiv...

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IEEE International Conference on Acoustics, Speech, and Signal Processing

作者： Y.-C. Wang Hongwei Liu Z.-Q. Luo State Key Laboratory on Integrated Service Networks Xidian University Xi'an 710071 China. Currently Y.-C Wang is a post doctorial fellow at the University of Minnesota National Lab of Radar Signal Processing Xidian University Xi'an 710071 China Department of Electrical Computer Science Engineering University of Minnesota Minneapolis 55455 USA

ISBN: (纸本)9781424442959

In this paper, we propose an iterative design approach to jointly optimize probing signal waveforms and a receive filter bank for a multiple-input multiple-output (MIMO) radar under a constant modulus constraint. The design goals are to approximate a desired beampattern and to minimize the auto/cross- correlation levels of the probing signal waveforms for different time lags and between different spatial angles. Since the overall design problem is nonconvex, we propose to optimize the transmit probing signals and receive filter bank separately and alternately. The optimization of receive filter bank is a standard least squares problem, while the optimization of the constant modulus transmit signal waveforms is a norm-constrained least squares problem which can be approximately solved using a low-rank semidefinite relaxation procedure. We demonstrate the effectiveness of our proposed approach through a simulation example.

关键词： Multiple-input multiple-output (MIMO) radar Beampattern Mismatched filter bank Constant modulus probing signal Auto correlation peak sidelobes Cross correlation Level signal waveform Filter banks design target Banks MIMO radar TRANSMITTING Exploration with a probe Iterative design problems

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Terahertz response of electromagnetic metamaterials

Terahertz response of electromagnetic metamaterials

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The 5th International Symposium on Ultra-fast Phenomena & Terahertz Waves(第五届超快现象与太赫兹波国际研讨会)

作者： Ranjan Singh Jianqiang Gu Abul K.Azad Jiaguang Han Weili Zhang Department of Physics National University of Singapore 2 Science Drive 3 Singapore 117542 Center for Terahertz Waves College of Precision Instrument & Optoelectronics Engineering and Key Lab of Opto-electronics Information and Technical Science(Ministry of Education) Tianjin University Tianjin 300072China CINT Los Alamos National Laboratory P.O.Box 1663 MS K771 Los Alamos NM87545 USA Center for Terahertz Waves College of Precision Instrument & Optoelectronics Engineering and Key Lab of Opto-electronics Information and Technical Science(Ministry of Education) Tianjin University Tianjin 300072China School of Electrical and Computer Engineering Oklahoma State University Stillwater Oklahoma 74078 USA School of Electrical and Computer Engineering Oklahoma State University Stillwater Oklahoma 74078 USA

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Convex experimental design using manifold structure for image retrieval 09

Convex experimental design using manifold structure for imag...

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17th ACM International Conference on Multimedia, MM'09, with Co-located Workshops and Symposiums

作者： Zhang, Lijun Chen, Chun Chen, Wei Bu, Jiajun Cai, Deng He, Xiaofei Zhejiang Key Laboratory of Service Robot College of Computer Science Zhejiang University Hangzhou China State Key Lab. of CAD and CG College of Computer Science Zhejiang University Hangzhou China

ISBN: (纸本)9781605586083

Content Based Image Retrieval (CBIR) has become one of the most active research areas in computer science. Relevance feedback is often used in CBIR systems to bridge the semantic gap. Typically, users are asked to make relevance judgements on some query results, and the feedback information is then used to re-rank the images in the database. An effective relevance feedback algorithm must provide the users with the most informative images with respect to the ranking function. In this paper, we propose a novel active learning algorithm, called Convex Laplacian Regularized Ioptimal Design (CLapRID), for relevance feedback image retrieval. Our algorithm is based on a regression model which minimizes the least square error on the labeled images and simultaneously preserves the intrinsic geometrical structure of the image space. It selects the most informative images which minimize the average predictive variance. The optimization problem of CLapRID can be cast as a semidefinite programming (SDP) problem, and solved via interior-point methods. Experimental results on COREL database have demonstrate the effectiveness of the proposed algorithm for relevance feedback image retrieval. Copyright 2009 ACM.

关键词： Convex optimization

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A risk-aware reputation mechanism for resource sharing on grids

A risk-aware reputation mechanism for resource sharing on gr...

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IEEE 9th International Conference on computer and Information Technology, CIT 2009

作者： Du, Wei Cui, Guohua Liu, Wei College of Computer Science and Technology Huazhong University of Science and Technology Wuhan China College of Computer Science and Technology Wuhan University of Technology Wuhan China State Key Laboratory for Novel Software Technology Nanjing University Nanjing China State Key Lab of Software Engineering Wuhan University Wuhan China

ISBN: (纸本)9780769538365

Because of highly dynamics, openness and autonomy of grid, effective access control mechanism is required to guarantee secure resource sharing on it. To resolve such problem, reputation and risk are formalized based on cloud model theory in this paper firstly. Subsequently, risk-aware reputation inference, combination and evolvement algorithms are designed respectively. Simulation results show higher risk sensitiveness and effectiveness of our proposal. © 2009 IEEE.

关键词： Inference engines

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Democratic Group Signatures with Threshold Traceability

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Journal of Shanghai Jiaotong university(science) 2009年第1期14卷 98-101页

作者：李祥学钱海峰李建华 School of Information Security Engineering Shanghai Jiaotong UniversityShanghai 200240China State Key Lab of Information Security Graduate School of Chinese Academy of SciencesBeijing 100039China State Key Laboratory of Integrated Service Networks Xidian UniversityXi'an 710071China Computer Science and Technology Department East China Normal UniversityShanghai 200241China

This paper presents a concrete democratic group signature scheme which holds （t, n）-threshold traceability. In the scheme, the capability of tracing the actual signer is distributed among n group members. It gives a valid democratic group signature such that any subset with more than t members can jointly reconstruct a secret and reveal the identity of the signer. Any active adversary cannot do this even if he can corrupt up to t - 1 group members.

关键词： democratic group signature （DGS） anonymity traceability threshold traceability

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CED: A community-based event delivery protocol in publish/subscribe systems for Delay Tolerant Sensor Network (DTSN)

CED: A community-based event delivery protocol in publish/su...

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38th International Conference on Parallel Processing, ICPP-2009

作者： Zhu, Jinqi Liu, Ming Cao, Jiannong Chen, Guihai Gong, Haigang Xu, Fulong Dept. of Computer Science and Engineering University of Electronic Science and Technology of China Cheng du China Internet and Mobile Computing Lab. Department of Computing Hong Kong Polytechnic University Hong Kong State Key Laboratory for Novel Software Technology Nanjing University China

ISBN: (纸本)9780769538020

The basic operation of Delay Tolerant Sensor Network (DTSN) is to finish pervasive data gathering in networks with intermittent connectivity, while the publish/subscribe (Pub/Sub for short) paradigm is used to deliver events from a source to interested clients in an asynchronous way. Recently, to extend a Pub/Sub system in DTSN has become a promising topic. However, due to the unique characteristic of frequent partitioning in DTSN, to extend a Pub/Sub system in DTSN is a considerably difficult and challenging problem, and there is no good solution to it in existing works. To adapt Pub/Sub systems to DTSN, we propose CED, a community-based event delivery protocol. In our design, event delivery is based on several unchanged communities, which are formed by sensor nodes in the network according to their connectivity. CED consists of two components: Event delivery and queue management. In event delivery, events in a community are delivered to mobile subscribers once a subscriber comes into the community, for improving the data delivery ratio. The queue management employs both the event successful delivery time and the event survival time to decide whether an event should be delivered or dropped for minimizing the transmission overhead. The effectiveness of CED is demonstrated through comprehensive simulation studies. © 2009 IEEE.

关键词： Sensor nodes

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Model-based bridge recognition in high resolution SAR image

Model-based bridge recognition in high resolution SAR image

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MIPPR 2009 - Automatic Target Recognition and Image Analysis: 6th International Symposium on Multispectral Image Processing and Pattern Recognition

作者： Pei, Deli Sun, Fuchun Wang, Hongqiao Chen, Ning Department of Computer Science and Technology Tsinghua University Beijing 100084 China State Key Lab. of Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology Tsinghua University Beijing 100084 China Xi'an High Tech. Research Institute Xi'an Shanxi 710025 China

ISBN: (纸本)9780819478061

A new bridge recognition method in Synthetic Aperture Radar (SAR) image using bridge model and SVM is presented in this paper. Firstly, water region is extracted from original SAR image by self-adapt segmentation and mathematic morphological method. Then based on bridge model, the bridge candidates in water region can be found out and their texture feature can also be ***, with the usage of SVM, whether these objects are bridges or not can be identified and the real bridges can be mark ed in the SAR image, as well as the corresponding information such as position. Experiment results show that, with the help of water region segmentation and bridge model, the efficiency of the algorithm is greatly promoted, meanwhile, the recognition accuracy is guaranteed by high quality classifier of SVM. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Synthetic aperture radar

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Structuring and manipulating hand-drawn concept maps 09

Structuring and manipulating hand-drawn concept maps

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13th International Conference on Intelligent User Interfaces, IUI'09

作者： Jiang, Yingying Tian, Feng Wang, Xugang Zhang, Xiaolong Dai, Guozhong Wang, Hongan State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences Beijing China Intelligence Engineering Lab. Institute of Software Chinese Academy of Sciences China Pennsylvania State University United States

ISBN: (纸本)9781605581682

Concept maps are an important tool to knowledge organization, representation, and sharing. Most current concept map tools do not provide full support for hand-drawn concept map creation and manipulation, largely due to the lack of methods to recognize hand-drawn concept maps. This paper proposes a structure recognition method. Our algorithm can extract node blocks and link blocks of a hand-drawn concept map by combining dynamic programming and graph partitioning and then build a concept-map structure by relating extracted nodes and links. We also introduce structure-based intelligent manipulation technique of hand-drawn concept maps. Evaluation shows that our method has high structure recognition accuracy in real time, and the intelligent manipulation technique is efficient and effective. Copyright 2009 ACM.

关键词： Dynamic programming

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