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International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications (MAPE)

作者： S. Karimkashi A. R. Mallahzadeh J. Rashed-Mohassel Center of Excellence on Applied Electromagnetic Systems School of Electrical and Computer Engineering Faculty of Engineering University of Tehran Iran ECE Department University of Shahed Tehran Iran

This paper presents a new shaped reflector antenna for wide beam azimuthal patterns and a cosecant squared elevation pattern. Elliptical strips instead of parabolic strips are used in horizontal planes of the reflector surface to achieve this purpose. Simulation and measurement results of the shaped reflector fed by a ridged horn antenna are presented.

关键词： Reflector antennas Antenna radiation patterns Microwave antennas Antennas and propagation Horn antennas Feeds Directive antennas Design methodology Diffraction Equations

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Chunk Segmentation of Chinese Sentences Using a Combined Statistical and Rule-based Approach (CSRA)

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International Journal of computer Processing of Languages 2007年第2N03期20卷 197-218页

作者： RONGBO WANG XIAOHUA WANG ZHIQUN CHEN ZHERU CHI Institute of Computer Application Technology School of Computer and Software Engineering Hangzhou Dianzi University Xiasha Higher Education Park Hangzhou Zhejiang China Center for Multimedia Signal Processing Department of Electronic and Information Engineering The Hong kong Polytechnic University Hong Kong

Deep parsing of Chinese sentences is a very challenging task due to their complexity such as ambiguous word boundaries and meanings. An alternative mode of Chinese language processing is to perform shallow parsing of Chinese sentences in which chunk segmentation plays an important role. In this paper, we present a chunk segmentation algorithm using a combined statistical and rule-based approach (CSRA). The decision rules for refining chunk segmentation are generated from incorrectly segmented chunks from a statistical model which is built on a training corpus. Experimental results show that the CSRA works well and produces satisfactory chunk segmentation results for subsequent processes such as chunk tagging and chunk collocation extraction.

关键词： Chinese language processing Chinese chunk segmentation Machine translation Language modeling Decision rules

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Text Segmentation from Complex Background Using Sparse Representations

Text Segmentation from Complex Background Using Sparse Repre...

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International Conference on Document Analysis and Recognition

作者： W. Pan T. Bui C. Suen Center for Pattern Recognition and Machine Intelligence Concordia University USA Department Computer Science and Software Engineering Concordia University USA

A novel text segmentation method from complex background is presented in this paper. The idea is inspired by the recent development in searching for the sparse signal representation among a family of over-complete atoms, which is called a dictionary. We assume that the image under investigation is composed of two components: the foreground text and the complex background. We further assume that the latter can be modeled as a piece-wise smooth function. Then we choose two dictionaries, where the first one gives sparse representation to one component and non-sparse representation to another while the second one does the opposite. By looking for the sparse representations in each dictionary, we can decompose the image into the two composing components. After that, text segmentation can be easily achieved by applying simple thresholding to the text component. Preliminary experiments show some promising results.

关键词： Dictionaries Image segmentation Pattern recognition Machine intelligence Signal representations Image analysis computer science software engineering Image resolution Filtering algorithms

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A Bayesian approach to conceptualization using reinforcement learning

A Bayesian approach to conceptualization using reinforcement...

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IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： Saeed Amizadeh Majid Nili Ahmadabadi Babak N. Araabi Roland Siegwart Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran Iran ASL ETHZ Zurich Switzerland

Abstraction provides cognition economy and generalization skill in addition to facilitating knowledge communication for learning agents situated in real world. Concept learning introduces a way of abstraction which maps the continuous state and action spaces into entities called concepts. Of computational concept learning approaches, action-based conceptualization is favored because of its simplicity and mirror neuron foundations in neuroscience. In this paper, a new biologically inspired concept learning approach based on the Bayesian framework is proposed. This approach exploits and extends the mirror neuron's role in conceptualization for a reinforcement learning agent in nondeterministic environments. In the proposed method, an agent sequentially learns the concepts from both of its successes and its failures through interaction with the environment. These characteristics as a whole distinguish the proposed learning algorithm from positive sample learning. Simulation results show the correct formation of concepts' distributions in perceptual space in addition to benefits of utilizing both successes and failures in terms of convergence speed as well as asymptotic behavior. Experimental results, on the other hand, show the applicability and effectiveness of our method for a real robotic task such as wall-following.

关键词： Bayesian methods Learning Mirrors Neurons Decision making Orbital robotics Uncertainty Encoding Biological information theory Signal processing

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Adaptive control for real-time computing system

Adaptive control for real-time computing system

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26th Chinese Control Conference, CCC 2007

作者： Chen, Yi Gao, Ge Liu, Hao National Engineering Research Center For-Multimedia Software Wuhan University Wuhan Hubei 430072 China Department of Computer Scienc Central China Normal University Wuhan Hubei 430079 China School of Info. Science. and Tech. Southwest Jiaotong University Chengdu 610031 China

ISBN: (纸本)7900719229

There may be great degradation in service level management (e.g., an email server) due to dynamical variants of real systems and measured disturbance in the network. An adaptive predictive congestion control is presented for service systems to prevent oscillation and delay induced by highly stochastic behaviors of computing system which can not be got rid of by conventional control. We analyze the controller in detail and prove the error can be reduced to zero in steady state. The effectiveness of the proposed methods is demonstrated bv the simulation results.

关键词： Adaptive control systems

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Achieving dependable systems by synergistic development of architectures and assurance cases

Achieving dependable systems by synergistic development of a...

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Workshop on Architecting Dependable Systems, WADS 2006

作者： Graydon, Patrick J. Knight, John C. Strunk, Elisabeth A. Department of Computer Science University of Virginia 151 Engineer's Way Charlottesville VA 22904-4740 United States Software Systems Engineering Dept. Aerospace Corporation 15049 Conference Center Drive CH3/320 Chantilly VA 20151-3824 United States

ISBN: (纸本)9783540740339

Assurance Based Development (ABD) is an approach to the construction of critical computing systems in which the system and an argument that it meets its assurance goals are developed simultaneously. ABD touches all aspects of the system lifecycle, but in this paper we focus on how the evolving assurance argument can guide architectural choices to increase system dependability. The goals with this approach to architectural choice are twofold. The first is to develop the architecture so that it provides the required evidence. The second is to refine the assurance case as architectural choices are made so that the evidence that will be provided supports the assurance claims. Combining development and assurance in this way facilitates detection-and thereby avoidance-of potential assurance difficulties as they arise, rather than after development is complete. © Springer-Verlag Berlin Heidelberg 2007.

关键词： computer architecture

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Improve text classification accuracy based on classifier fusion methods

Improve text classification accuracy based on classifier fus...

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International Conference on Information Fusion

作者： Ali Danesh Behzad Moshiri Omid Fatemi Department of Elec. & Computer Engineering University of Tehran Tehran Iran Control & Intelligent Processing Center of Excellence University of Tehran Tehran Iran

ISBN: (纸本)9780662478300;0662478304

Naive-Bayes and k-NN classifiers are two machine learning approaches for text classification. Rocchio is the classic method for text classification in information retrieval. Based on these three approaches and using classifier fusion methods, we propose a novel approach in text classification. Our approach is a supervised method, meaning that the list of categories should be defined and a set of training data should be provided for training the system. In this approach, documents are represented as vectors where each component is associated with a particular word. We proposed voting methods and OWA operator and decision template method for combining classifiers. Experimental results show that these methods decrese the classification error 15 percent as measured on 2000 training data from 20 newsgroups dataset.

关键词： Text categorization Machine learning Training data Voting Open wireless architecture Classification tree analysis Linear discriminant analysis Neural networks Process control Intelligent control

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Parallel association rule mining based on FI-growth algorithm

Parallel association rule mining based on FI-growth algorith...

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International Conference on Parallel and Distributed Systems (ICPADS)

作者： Bundit Manaskasemsak Nunnapus Benjamas Arnon Rungsawang Athasit Surarerks Putchong Uthayopas MIKE Laboratory Department of Computer Engineering Kasetsart University Bangkok Thailand HPCNC Laboratory Department of Computer Engineering Kasetsart University Bangkok Thailand Thai National Grid Center Software Industry Promotion Agency Ministry of Information and Communication Technology Thailand ELITE Laboratory Department of Computer Engineering Chulalongkom University Bangkok Thailand

Association rule mining is one of the most important techniques in data mining. It extracts significant patterns from transaction databases and generates rules used in many decision support applications. Many organizations such as industrial, commercial, or even scientific sites may produce large amount of transactions and attributes. Mining effective rules from such large volumes of data requires much time and computing resources. In this paper, we propose a parallel Fl-growth association rule mining algorithm for rapid extraction of frequent itemsets from large dense databases. We also show that this algorithm can efficiently be parallelized in a cluster computing environment. The preliminary experiments provide quite promising results, with nearly ideal scaling on small clusters and about half of ideal (15 fold speedup) on a thirty-two processor cluster.

关键词： Association rules Data mining Itemsets Transaction databases Concurrent computing Grid computing Data engineering Clustering algorithms Marketing and sales Partitioning algorithms

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DATA-ROBUST DESIGN OF PID CONTROLLERS VIA INTERVAL LINEAR PROGRAMMING

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IFAC Proceedings Volumes 2007年第20期40卷 632-636页

作者： Sandipan Mitra L.H. Keel S.P. Bhattacharyya Department of Electrical & Computer Engineering Texas A&M University College Station TX USA Center of Excellence in Information Systems Tennessee State University Nashville TN USA

In this paper, the problem of finding the set of Proportional Integral Derivative (PID) controllers that can robustly stabilize a system based on its frequency response has been solved. The model of the system is not necessary for this problem. A band of uncertainty is assumed in the frequency response of the plant. The controller is so designed that it can robustly stabilize this plant in the entire range of its uncertainties. Interval coefficient linear inequalities are used to arrive at the final result.

关键词： PID Controllers Robust Stability Bode diagrams Uncertainty

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A Web Database Security Model Using the Host Identity Protocol

A Web Database Security Model Using the Host Identity Protoc...

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International Symposium on Database engineering and Applications (IDEAS)

作者： Xueyong Zhu J. William Atwood Network Information Center University of Science and Technology Hefei Anhui China Department of Computer Science and Software Engineering Concordia University Montreal QUE Canada

Web database security is a very important issue in e-commerce. This paper presents a new Web database security model. It utilizes the host identity protocol (HIP), which is being defined by the IETF, and a proposed user identity exchange, to achieve authentication of host identity and user identity, and combines it with the database system itself and encryption to guarantee Web database security and confidentiality of the data. For these purposes, we define a new concept of the user identity namespace for the user, and using it to realize the binding-authentication of the host identity and user identity of the client, and build a relationship between the host and the user. In the new model, we set up a high strength shell of security for the database.

关键词： Data security Protocols Hip Information security Spatial databases Web server Internet Cryptography Service oriented architecture Public key

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