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IEEE Power and Energy Society General Meeting

作者： Mingyang Li Peter B. Luh Eugene Litvinov Peng Zhang Center for Intelligent and Networked Systems (CFINS) Department of Automation Tsinghua National Laboratory for Information Science & Technology (TNLIST) Tsinghua University Dept. of Electrical & Computer Engineering University of Connecticut ISO New England Inc.

ISBN: (纸本)9781457710001

In future power systems, the Smart Grid technologies will bring in a large number of new entities, which are different from those in the current systems in two major aspects: first, the entities are geographically distributed throughout the system with their detailed information not available to the system operator, and second, the entities tend to autonomously optimize their own benefits. In view of both aspects, it is difficult to use the current centralized framework to operate future systems. In this paper, we present and analyze a new partially decentralized framework and the corresponding mechanisms as one step from the current framework toward the future ones, and the focus is on the real time electricity markets with a dispatch cycle of five minutes. In each dispatch cycle, the system operator posts electricity price forecasts, and individual entities actively respond to the prices to dispatch themselves. The system-wide power imbalance is used as a correction term in the next dispatch cycle to iteratively update the price forecasts, so that system balance is maintained in the long term. The new framework can accommodate the large number of entities without knowing their detailed information, and enable the entities to achieve better economic benefits. Small examples are used to analyze our framework and to compare it with the current one.

关键词： System operation Autonomous entities Renewable generation Decentralized Real time market Electricity price Decentralized Operating systems Dispatching Electricity pricing Frameworks power systems correct entry Smart grids Prices

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Research and implementation on the security scheme of industrial wireless network

Research and implementation on the security scheme of indust...

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International Conference on Information Networking

作者： Min Wei Keecheon Kim Ping Wang Jongwon Choe Department of Computer Science and Engineering Konkuk University Seoul South Korea Key Laboratory of Network control & Intelligent Instrument Chongqing University of Posts and Telecommunications Chongqing China Key Laboratory of Network control & Intelligent Instrument Ministry of Education Chongqing University of Posts and Telecommunications Chongqing China Sookmyung Women's University Seoul South Korea

ISBN: (纸本)9781612846613

Industrial Wireless communications is emerging technology after the Fieldbus in industrial field. For industrial control application with wireless industrial technologies, the WIA-PA standard defines the protocol suite, system management, gateway, and security for low-data-rate wireless connectivity with fixed, portable, and moving devices supporting the limited power consumption requirements. In this paper we summary the security provision in the current standards. Then we present a new security architecture and security protocol based on WIA-PA standard. Furthermore, we design and implement the security communication services. Finally, the security test results illustrate that these security scheme may enhance the security reliability of the WIA-PA network communication.

关键词： Intrusion detection Communication system security Authentication Wireless networks Protocols

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WORKSHOP: The role of expectations in intuitive human-robot interaction

WORKSHOP: The role of expectations in intuitive human-robot ...

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ACM/IEEE International Conference on Human-Robot Interaction (HRI)

作者： Verena Hafner Manja Lohse Joachim Meyer Yukie Nagai Britta Wrede Department of Computer Science Cognitive Robotics Berlin Germany CoR-Laboratory and Applied Informatics Technical Faculty Bielefeld University Germany Department of Industrial Engineering and Management University of Negev Israel Department of Adaptive Machine Systems Graduate School of Engineering Osaka University Japan Head of CoR-Laboratory research group Hybrid Society Technical Faculty Bielefeld University Germany

Human interaction is highly intuitive: we infer reactions of our opponents mainly from what we have learned in years of experience and often assume that other people have the same knowledge about certain situations, abilities, and expectations as we do. In human-robot interaction (HRI) we cannot take for granted that this is equally true since HRI is asymmetrical. In other words, robots have different abilities, knowledge, and expectations than humans. They need to react appropriately to human expectations and behaviour. With this respect, scientific advances have been made to date for applications in entertainment and service robotics that largely depend on intuitive interaction. However, HRI today is often still unnatural, slow, and unsatisfactory for the human interlocutor. Both the sensorimotor interaction with environment and interlocutor, and the social aspects of the interaction still need to be researched and improved. Therefore, this full-day workshop aims to bring together researchers from different scientific fields to discuss these crosscutting issues and to exchange views on what are the preconditions and principles of intuitive interaction.

关键词： Educational institutions computer science Robot sensing systems Electronic mail Humans Industrial engineering

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Training ANFIS system with DE algorithm

Training ANFIS system with DE algorithm

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International Workshop on Advanced Computational Intelligence (IWACI)

作者： Allahyar Z. Zangeneh Mohammad Mansouri Mohammad Teshnehlab Ali K. Sedigh Computer Engineering Department Science and Research Branch Islamic Azad university of Tehran Iran Intelligent System laboratory (ISLAB) Control Department K. N. Toosi University of Technology Tehran Iran Advanced Process Automation & Control laboratory (APAC) Control Department K. N. Toosi University of Technology Tehran Iran

In this study, a new type of training the adaptive network-based fuzzy inference system (ANFIS) is presented by applying different types of the Differential Evolution branches. The TSK-type consequent part is a linear model of exogenous inputs. The consequent part parameters are learned by a gradient descent algorithm. The antecedent fuzzy sets are learned by basic differential evolution (DE/rand/1/bin) and then with some modifications in it. This method is applied to identification of the nonlinear dynamic system, prediction of the chaotic signal under both noise-free and noisy conditions and simulation of the two-dimensional function. Instead of DE/rand/1/bin, this paper suggests the complex type (DE/current-to-best/1+1/bin & DE/rand/1/bin) on predicting of Mackey-glass time series and identification of a nonlinear dynamic system revealing the efficiency of proposed structure. Finally, the method is compared with pure ANFIS to show the efficiency of this method.

关键词： Vectors Adaptive systems Input variables Training Mathematical model Equations Firing

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An Empirical Study of Unsupervised Sentiment Classification of Chinese Reviews

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Tsinghua science and Technology 2010年第6期15卷 702-708页

作者：翟忠武徐华贾培发 State Key Laboratory of Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology Department of Computer Science and Technology Tsinghua University

This paper is an empirical study of unsupervised sentiment classification of Chinese reviews. The focus is on exploring the ways to improve the performance of the unsupervised sentiment classification based on limited existing sentiment resources in Chinese. On the one hand, all available Chinese sentiment lexicons - individual and combined - are evaluated under our proposed framework. On the other hand, the domain dependent sentiment noise words are identified and removed using unlabeled data, to improve the classification performance. To the best of our knowledge, this is the first such attempt. Experiments have been conducted on three open datasets in two domains, and the results show that the proposed algorithm for sentiment noise words removal can improve the classification performance significantly.

关键词： sentiment noise words unsupervised sentiment classification domain dependent

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Welcome from the technical program chairs

Welcome from the technical program chairs

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IEEE International Conference on Pervasive Computing and Communications (PerCom)

作者： Jadwiga Indulska Claudio Bettini Roy Campbell Cecilia Mascolo Centro E. Piaggio and the Department of Information Engineering University of Pisa Pisa Italy Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge MA USA “Soft Robotics for Human Cooperation and Rehabilitation” Lab Istituto Italiano di Tecnologia Genoa Italy

A warm welcome to the Ninth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom 2011). We are very excited to introduce you to the technical program of our conference that this year includes 27 papers representing high-quality research conducted over the broad spectrum of topics related to pervasive computing.

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Decentralized Task Sequencing and Multiple Mission Control for Heterogeneous Robotic Networks

Decentralized Task Sequencing and Multiple Mission Control f...

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2011 IEEE International Conference on robotics and Automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)

作者： Donato Di Paola Andrea Gasparri Giovanni Ulivi David Naso Frank L. Lewis Institute of Intelligent Systems for Automation (ISSIA) National Research Council (CNR)70126 BariI Faculty of Engineering Computer Science and Automation DepartmentUniversity "Roma Tre"00146 RomeI Department of Electrical and Electronic Engineering (DEE) Polytechnic of Bari70126 BariItaly the Automation and Robotics Research Institute University of Texas at ArlingtonFort WorthTX 76118-

In this paper a novel decentralized approach for task sequencing within a multiple missions control framework is presented. The main contribution of this work concerns the decentralization of a control framework for multiple mission execution in order to enhance the robustness of the system, and the application of the latter to a heterogeneous robotic network. The proposed approach is based on the Matrixbased Discrete Event Framework (MDEF). This formalism is adapted to networks of heterogeneous robots, i.e., robots with different capabilities, and to the decentralized control of mission execution using a consensus-based approach which guarantees the agreement among robots on executed actions and their consequences.

关键词： Mathematical model Equations Resource management Robot sensing systems Availability Multiagent systems

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Automatic Partition of Chinese Sentence Group

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Journal of Donghua University(English Edition) 2010年第2期27卷 177-180页

作者：陈怡疆史晓东周昌乐 Department of Computer Science Xiamen University Department of Cognitive Science Fujian Key Laboratory of the Brain-like Intelligent SystemsXiamen University

Automatic partition of Chinese sentence group is very important to the statistical machine translation system based on discourse. This paper presents an approach to this issue： first, each sentence in a discourse is expressed as a feature vector; second, a special hierarchical clustering algorithm is applied to present a discourse as a sentence group tree. In this paper, local reoccurrence measure is proposed to the selection of key phras and the evaluation of the weight of key phrases. Experimental results show our approach promising.

关键词： sentence group automatic partition of sentence group sentence group tree local reoccurrence measure

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Visual saliency detection by spatially weighted dissimilarity

Visual saliency detection by spatially weighted dissimilarit...

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Conference on computer Vision and Pattern Recognition (CVPR)

作者： Lijuan Duan Chunpeng Wu Jun Miao Laiyun Qing Yu Fu College of Computer Science and Technology Beijing University of Technology Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China School of Information Science and Engineering Chinese Academy and Sciences Beijing China Department of Computing University of Surrey Guildford Surrey UK

In this paper, a new visual saliency detection method is proposed based on the spatially weighted dissimilarity. We measured the saliency by integrating three elements as follows: the dissimilarities between image patches, which were evaluated in the reduced dimensional space, the spatial distance between image patches and the central bias. The dissimilarities were inversely weighted based on the corresponding spatial distance. A weighting mechanism, indicating a bias for human fixations to the center of the image, was employed. The principal component analysis (PCA) was the dimension reducing method used in our system. We extracted the principal components (PCs) by sampling the patches from the current image. Our method was compared with four saliency detection approaches using three image datasets. Experimental results show that our method outperforms current state-of-the-art methods on predicting human fixations.

关键词： Humans Color Visualization Image color analysis Principal component analysis Correlation Computational modeling

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Sparsely Encoded Local Descriptor for face recognition

Sparsely Encoded Local Descriptor for face recognition

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International Conference on Automatic Face and Gesture Recognition

作者： Zhen Cui Shiguang Shan Xilin Chen Lei Zhang School of Computer Science and Technology Huaqiao University Xiamen China Chinese Academy and Sciences Beijing China Key Laboratory of Intelligent Information Processing Institute of Computer Technology Chinese Academy and Sciences Beijing China Chinese Academy of Sciences Beijing Beijing CN Department of Computing Hong Kong Polytechnic University Hong Kong China

In this paper, a novel Sparsely Encoded Local Descriptor (SELD) is proposed for face recognition. Compared with K-means or Random-projection tree based previous methods, sparsity constraint is introduced in our dictionary learning and sequent image encoding, which implies more stable and discriminative face representation. Sparse coding also leads to an image descriptor of summation of sparse coefficient vectors, which is quite different from existing code-words appearance frequency(/histogram)-based descriptors. Extensive experiments on both FERET and challenging LFW database show the effectiveness of the proposed SELD method. Especially on the LFW dataset, recognition accuracy comparable to the best known results is achieved.

关键词： Face Dictionaries Pixel Training Feature extraction Face recognition Databases

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