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检索条件"任意字段=2008 International Conference on Engineering of Reconfigurable Systems and Algorithms, ERSA 2008"

共 2738 条记录，以下是71-80 订阅

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Diversity and convergence analysis of membrane algorithms

Diversity and convergence analysis of membrane algorithms

引用

2010 IEEE 5th international conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010

作者： Zhang, Gexiang Liu, Chunxiu Gheorghe, Marian School of Electrical Engineering Southwest Jiaotong University Chengdu 610031 China Department of Computer Science University of Sheffield Regent Court Portobello Street Sheffield S1 4DP United Kingdom

ISBN: (纸本)9781424464388

This paper focuses on diversity and convergence analysis of the membrane algorithm, QEPS, introduced by Zhang et al. in 2008. This is the first attempt to analyze the dynamic behaviour of membrane algorithms. We use four convergence measures and six population diversity measures to comparatively analyze the evolution processes of QEPS and its counterpart quantum-inspired evolutionary algorithm (QIEA) in an experimental way. Results show that QEPS achieves better balance between convergence and diversity than QIEA, which indicates QEPS has a stronger ability to balance exploration and exploitation than QIEA to avoid premature convergence problem and improve the algorithm performance. This work is very helpful to understand the advantages of the introduction of P systems into evolutionary algorithms. © 2010 IEEE.

关键词： Evolutionary algorithms

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Multi-platform demonstrations using the iris architecture for cognitive radio network testbeds

Multi-platform demonstrations using the iris architecture fo...

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2010 5th international conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCom 2010

作者： Sutton, P.D. Lotze, J. Lahlou, H. Özgül, B. Fahmy, S.A. Nolan, K.E. Noguera, J. Doyle, L.E. University of Dublin Trinity College Ireland School of Computer Engineering Nanyang Technological University Singapore Singapore Xilinx Research Labs. Dublin Ireland

ISBN: (纸本)9781424458868

This paper presents three reconfigurable radio systems developed within CTVR, The Telecommunications Research Centre and demonstrated at the IEEE international Dynamic Spectrum Access Networks (DySPAN) symposium held in Chicago in October 2008. All three systems were developed using the Iris cognitive radio network architecture. Each system employs a different processing platform. Today's radio communication standards feature increasing levels of flexibility and reconfigurability as designers strive to extract as much performance as possible from the resources available. To provide the required flexibility, general processing platforms are being employed to a greater extent than ever before. At the same time, the range and scope of available processing platforms is expanding. The systems presented in this paper use three such general processing platforms;a multicore General Purpose Processor (GPP), the Cell Broadband Engine (CellBE) and a Xilinx Field Programmable Gate Array (FPGA). The paper provides an overview of Iris and looks at each demonstration system in turn, illustrating the way in which the unique features of each platform are used. The authors present a number of insights gained in the course of developing the systems and address the role of experimentation in emerging wireless networks research.

关键词： Network architecture

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Investigation of the seismic response of slender planar concrete walls

Investigation of the seismic response of slender planar conc...

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9th US National and 10th Canadian conference on Earthquake engineering 2010, Including Papers from the 4th international Tsunami Symposium

作者： Birely, Anna Lowes, Laura N. Lehman, Dawn E. Marley, Ken Hart, Chris Kuchma, Dan Dept. of Civil and Environmental Engineering University of Washington Seattle WA United States Dept. of Civil Engineering University of Illinois Urbana-Champaign IL United States

ISBN: (纸本)9781617388446

Structural walls are one of the most commonly used lateral-load resisting systems, and many previous studies have addressed the seismic performance, analysis and design of these systems. However, few previous tests have focused on the performance of structural wall systems and few have simulated the reinforcement patterns and loading distributions found in modern structures. As such, limited data have been available for validation of the models used in performance-based design of these systems. To overcome deficiencies in previous tests, large-scale reinforced concrete walls are being tested using the advanced equipment, control algorithms and instrumentation available at the NEES facility at the University of Illinois. Test specimens include planar, coupled, c-shaped and core wall subassemblages. To simulate the demand originating from the upper stories of a multi-story structure, specialized load-and-boundary- condition boxes (LBCBs) are used. Testing of the first series of specimens, four planar walls, was completed in 2008. Data from these tests show the influence of the shear-force distribution and longitudinal reinforcement configuration on wall behavior, drift capacity, the progression of damage, and the contribution to total deformation of flexural, shear, anchorage and other response mechanisms.

关键词： Reinforced concrete

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A practice-oriented framework for measuring privacy and utility in data sanitization systems 10

A practice-oriented framework for measuring privacy and util...

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2010 international conference on Extending Database Technology/international conference on Database Theory, EDBT/ICDT 2010

作者： Sramka, Michal Safavi-Naini, Reihaneh Denzinger, Jörg Askari, Mina Department of Computer Engineering and Maths Universitat Rovira I Virgili Av. Paisos Catalans 26 43007 Tarragona Spain Department of Computer Science University of Calgary 2500 University Drive NW Calgary AB T2N 1N4 Canada

ISBN: (纸本)9781605589459

Published data is prone to privacy attacks. Sanitization methods aim to prevent these attacks while maintaining usefulness of the data for legitimate users. Quantifying the trade-off between usefulness and privacy of published data has been the subject of much research in recent years. We propose a pragmatic framework for evaluating sanitization systems in real-life and use data mining utility as a universal measure of usefulness and privacy. We propose a definition for data mining utility that can be tuned to capture the needs of data users and the adversaries' intentions in a setting that is specified by a database, a candidate sanitization method, and privacy and utility concerns of data owner. We use this framework to evaluate and compare privacy and utility offered by two well-known sanitization methods, namely k-anonymity and Ε-differential privacy, when UCI's "Adult" dataset and the Weka data mining package is used, and utility and privacy measures are defined for users and adversaries. In the case of k-anonymity, we compare our results with the recent work of Brickell and Shmatikov (KDD 2008), and show that using data mining algorithms increases their proposed adversarial gains. © 2010 ACM.

关键词： Data mining

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Control methods of inverter-interfaced distributed generators in a microgrid system

Control methods of inverter-interfaced distributed generator...

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作者： Chung, Il-Yop Liu, Wenxin Cartes, David A. Collins Jr., Emmanuel G. Moon, Seung-Il Florida State University Tallahassee FL 32306 United States Klipsch School of Electrical and Computer Engineering New Mexico State University Las Cruces NM 88003-8001 United States School of Electrical Engineering and Computer Science Seoul National University Seoul 151-744 Korea Republic of

Microgrids are a new concept for future energy distribution systems that enable renewable energy integration and improved energy management capability. Microgrids consist of multiple distributed generators (DGs) that are usually integrated via power electronic inverters. In order to enhance power quality and power distribution reliability, microgrids need to operate in both grid-connected and island modes. Consequently, microgrids can suffer performance degradation as the operating conditions vary due to abrupt mode changes and variations in bus voltages and system frequency. This paper presents controller design and optimization methods to stably coordinate multiple inverter-interfaced DGs and to robustly control individual interface inverters against voltage and frequency disturbances. Droop-control concepts are used as system-level multiple DG coordination controllers, and L1 control theory is applied to device-level inverter controllers. Optimal control parameters are obtained by particle-swarm-optimization algorithms, and the control performance is verified via simulation studies. © 2006 IEEE.

关键词： Particle swarm optimization (PSO)

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Network modeling and optimization for engineering applications: A Service-oriented EC Architecture

Network modeling and optimization for engineering applicatio...

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international conference on Computers & Industrial engineering (CIE)

作者： Lin Lin Fuzzy Logic Systems Institute Japan School of Software Dalian University of Technology China

ISBN: (纸本)9781424472956

In the past decades, we have devoted our efforts to the research of evolutionary algorithms and its application to optimization problems in the fields of Industrial engineering (IE) and Operations Research (OR). We summarized our research results in our book entitled Network Models and Optimization: Multiobjective Genetic Algorithm Approach by Springer, 2008. We defined an evolutionary computation architecture and developed a software tool for the evolutionary computation researches and real-world applications, called Service-oriented Evolutionary Computation Architecture (SoECA). In this presentation, we first briefly explain the network modeling and evolutionary optimization for engineering applications. Next we give an introduction of SoECA, and present how to use this software tool for the EC researches and real-world applications. Then we show a network modeling technique to formulate the complex problems, and explain the design of evolutionary algorithms in engineering applications: logistics network models, communication network models, advanced planning and scheduling models, and advanced network models. Finally we discuss future research issues in the design of SoECA for engineering applications.

关键词： Optimization Evolutionary computation Computational modeling Biological system modeling Computer architecture Books Genetic algorithms

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Diversity and convergence analysis of membrane algorithms

Diversity and convergence analysis of membrane algorithms

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international conference on Bio-Inspired Computing: Theories and Applications, BICTA

作者： Gexiang Zhang Chunxiu Liu Marian Gheorghe School of Electrical Engineering Southwest Jiaotong University Chengdu China Department of Computer Science University of Sheffield Sheffield UK

关键词： Algorithm design and analysis Heuristic algorithms Barium

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Dynamic Features of Social Tagging Vocabulary: Delicious, Flickr and YouTube

Dynamic Features of Social Tagging Vocabulary: Delicious, Fl...

引用

international conference on Advances in Social Network Analysis and Mining, ASONAM

作者： Daifeng Li Ying Ding Zheng Qin Staša Milojevic Bing He Erjia Yan Tianxi Dong School of Information management and engineering Shanghai University of Finance and Economics Shanghai China School of Library and Information Science Indiana University Bloomington IN USA

This article investigates the dynamic features of social tagging vocabularies in Delicious, Flickr and YouTube from 2003 to 2008. It analyzes the evolution of the usage of the most popular tags in each of these three social networks. We find that for different tagging systems, the dynamic features reflect different cognitive processes. At the macro level, the tag growth obeys power-law distribution for all three tagging systems with exponents lower than one. At the micro level, the tag growth of popular resources in all three tagging systems follows a similar power-law distribution. Moreover, we find that the exponents of tag growth varied in different evolving stages of popular individual resources.

关键词： Tagging Vocabulary YouTube Heuristic algorithms Probability distribution Crawlers Collaboration

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Detection of video copies based on robust descriptors

Detection of video copies based on robust descriptors

引用

international conference on Apperceiving Computing and Intelligence Analysis, ICACIA

作者： Juan Chen School of Computer Science and Engineering University of Electronic Science and Technology China

ISBN: (纸本)9781424480258

In this paper, robust descriptors are extracted to detect video copies generated by complicated transformations. The main contribution of the proposed method lies in three aspects. Firstly, the complicated transformations on video copies are identified and tackled to guarantee the extraction of robust descriptors. Secondly, a motion classification approach is proposed to divide the video into video groups. Thirdly, a two-stage matching scheme is implemented and the support vector machine is utilized to detect video copies. Extensive experiments are carried out using the data from TRECVID 2008 content-based video copy detection task. The proposed framework for video copy detection is very effective, and robust against spatial and temporal variations, in comparison with TRECVID participants and state-of-art algorithms.

关键词： Robustness Trajectory Pixel Tracking Noise Streaming media Circuits and systems

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Improving N Calculation of the RSI Financial Indicator Using Neural Networks

Improving N Calculation of the RSI Financial Indicator Using...

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2010 2nd IEEE international conference on Information and Financial engineering(ICIFE2010)

作者： Alejandro Rodríguez-González Fernando GuldrisIglesias Ricardo Colomo-Palacios Giner Alor-Hernandez Ruben Posada-Gomez Computer Science Department Universidad Carlos Ⅲ de Madrid Leganés Spain

Trading and Stock Behavioral Analysis systems require efficient Artificial Intelligence techniques for analyzing large financial datasets and have become in the current economic landscape a significant challenge for multidisciplinary ***,Trading-oriented Decision Support systems based on the Chartist or Technical Analysis Relative Strength Indicator(RSI) have been published and used ***,its combination with Neural Networks as a branch of evolutionary computing which can outperform previous results remain a relevant approach which has not deserved enough *** this paper,we present the Chartist Analysis Platform for Trading(CAST,in short) platform,a proof-of-concept architecture and implementation of a Trading Decision Support System based on the RSI N value calculation and Feed-Forward Neural Networks(FFNN).CAST provides a set of relatively more accurate financial decisions yielded by the combination of Artificial Intelligence techniques to the N calculation for RSI and a more precise and improved upshot obtained from feed-forward algorithms application to stock value datasets.

关键词： neural networks,RSI,trading,prediction

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