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IEEE Mediterranean Electrotechnical Conference

作者： Juan I. Guerrero Carlos Leon Felix Biscarri Inigo Monedero Jesus Biscarri Rocio Millan Electronic Technology Department School of Computer Science and Engineering University of Seville Endesa Automated Metering Management and Field Works Department Borbolla Building Endesa Automated Metering Management and Field Works Department Borbolla Building

ISBN: (纸本)9781424457939

Usually, the fraud detection method in utility companies uses the consumption information, the economic activity, the geographic location, the active/reactive ration and the contracted power. This paper proposes a combined text mining and neural networks to increase the efficiency in Non-Technical Losses (NTLs) detection methods which was previously applied. This proposed framework proposes to collect all the information that normally cannot be treated with traditional methods. This framework is part of a research project. This project is done in collaboration with Endesa, one of the most important power distribution companies of Europe. Currently, the proposed framework is in the test stage and it uses real cases.

关键词： Data mining Databases Text mining Artificial intelligence Power generation economics Economic forecasting Decision support systems Testing Artificial neural networks Support vector machines

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Applying mutual information for prototype or instance selection in regression problems

Applying mutual information for prototype or instance select...

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17th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning, ESANN 2009

作者： Guillen, A. Herrera, L.J. Rubio, G. Pomares, H. Lendasse, A. Rojas, I. University of Jaén Department of Informatics Spain University of Granada Department of Computer Technology and Architecture Spain Helsinki University of Technology Information and Computer Science Department Finland

ISBN: (纸本)2930307099

The problem of selecting the patterns to be learned by any model is usually not considered by the time of designing the concrete model but as a preprocessing step. Information theory provides a robust theoretical framework for performing input variable selection thanks to the concept of mutual information. Recently the computation of the mutual information for regression tasks has been proposed so this paper presents a new application of the concept of mutual information not to select the variables but to decide which prototypes should belong to the training data set in regression problems. The proposed methodology consists in deciding if a prototype should belong or not to the training set using as criteria the estimation of the mutual information between the variables. The novelty of the approach is to focus in prototype selection for regression problems instead of classification as the majority of the literature deals only with the last one. Other element that distinguishes this work from others is that it is not proposed as an outlier identificator but as an algorithm that determines the best subset of input vectors by the time of building a model to approximate it. As the experiment section shows, this new method is able to identify a high percentage of the real data set when it is applied to a highly distorted data sets.

关键词： Information theory

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OP-KNN: Method and Applications

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Advances in Artificial Neural Systems 2010年第1期2010卷

作者： Qi Yu Yoan Miche Antti Sorjamaa Alberto Guillen Amaury Lendasse Eric Séverin Department of Information and Computer Science Aalto University School of Science and Technology FI-00076 Aalto Finlandtkk.fi Department of Computer Technology and Architecture University of Granada 18017 Granada Spainugr.es Department GEA University of Lille 1 59653 Villeneuve d′ascq cedex Franceuniv-lille1.fr

This paper presents a methodology named Optimally Pruned K-Nearest Neighbors (OP-KNNs) which has the advantage of competing with state-of-the-art methods while remaining fast. It builds a one hidden-layer feedforward neural network using K-Nearest Neighbors as kernels to perform regression. Multiresponse Sparse Regression (MRSR) is used in order to rank each k th nearest neighbor and finally Leave-One-Out estimation is used to select the optimal number of neighbors and to estimate the generalization performances. Since computational time of this method is small, this paper presents a strategy using OP-KNN to perform Variable Selection which is tested successfully on eight real-life data sets from different application fields. In summary, the most significant characteristic of this method is that it provides good performance and a comparatively simple model at extremely high-learning speed.

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CASEMANS 2009: The 3rd ACM International Workshop on Context-Awareness for Self-Managing Systems 09

CASEMANS 2009: The 3rd ACM International Workshop on Context...

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3rd ACM International Workshop on Context-Awareness for Self-Managing Systems, Casemans 2009

作者： Dargie, Waltenegus Kuwahara, Noriaki Technical University of Dresden Institute for Systems Architecture Department of Computer Networks Dresde Germany Kyoto Institute of Technology Graduate School of Science and Technology Kyoto Japan

ISBN: (纸本)9781605584393

This year, the 3rd ACM International Workshop on Context-Awareness for Self-Managing Systems (Devices, Applications and Networks) (CASEMANS 2009) is organized in Nara, Japan. This article summarizes the objectives of the CASE-MANS 2009 workshop and gives an overview of the papers that are selected for presentation and publication. Copyright 2009 ACM.

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The fifth international conference on intelligent environments (IE09): A report

The fifth international conference on intelligent environmen...

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作者： Callaghan, Vic Korneas, Achilles Royo, Dolors Reyes, Angelica Navarro, Leandro Computer Science University of Essex United Kingdom Inhabited Intel-ligent Environments Group United Kingdom Hellenic Open University Greece Computer Technology Institute Greece Technical University of Catalonia Spain Spain Techni-cal University of Catalonia Department of Computer Architecture Spain

The development of intelligent environments is considered an important step toward the realization of the ambient intelligence vision. Intelligent environments are technologically augmented everyday spaces that intuitively support human activity. The IE conferences traditionally provide a leading-edge forum for researchers and engineers to present their latest research and to discuss future directions in the area of intelligent environments. This article briefly presents the content of the Fifth International Conference on Intelligent Environments (IE09), which was held July 20-21 at the Castelldefels campus of the Technical university of Catalonia near Barcelona, Spain. Copyright © 2009, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Ambient intelligence

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SAR Image segmentation using kernel density estimation on region adjacency graph

SAR Image segmentation using kernel density estimation on re...

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2009 Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2009

作者： Zhang, Daming Fu, Maosheng Luo, Bin School of Computer Science and Technology Anhui University Hefei 230039 China Department of Mathematics and Physics Anhui Institute of Architecture and Industry Hefei 230022 China

ISBN: (纸本)9781424427314

In this paper, we propose a new synthetic aperture radar (SAR) image segmentation scheme. Firstly, the SAR image is over-segmented using the mean shift (MS) algorithm while the original image discontinuity characteristics are preserved. Secondly, we propose a novel method to estimates the probability density function of each node on region adjacency graph (RAG) using kernel density estimation (KDE) method. This estimation includes the information of similarity and proximity of any pairs of nodes at the same time. Our approach yields superior performance and also is feasible for real-time processing. ©2009 IEEE.

关键词： Synthetic aperture radar

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Gradient-dependent damage constitutive: The second-order gradient damage model

Gradient-dependent damage constitutive: The second-order gra...

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2009 GeoHunan International Conference - Characterization, Modeling, and Performance of Geomaterials

作者： Zhao, Bing Zheng, Ying-Ren Zeng, Ming-Hua Tang, Xue-Song Yan, Xiao-Qiang School of Civil Engineering and Architecture Changsha University of Science and Technology Changsha China Department of Architectural Engineering Logistic Engineering University of PLA Chongqing China School of Mathematics and Computer Science Ningxia University Yinchuan China

ISBN: (纸本)9780784410417

When the strain tensor, the scalar damage quantity and the Laplacian thereof serve as the state variables of Helmholtz free energy, the general expressions of elasticity-gradient damage constitutive equations are derived directly from the basic law of irreversible thermodynamics by constitutive functional expansion method at the initial state. When damage variable equals to zero, the expressions can be simplified to linear elastic constitutive equations, when the damage gradient vanishes, the expressions can be simplified to the classical damage constitutive equations based on the strain equivalence hypothesis. © 2009 ASCE.

关键词： Free energy

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Symmetric Multiprocessor Systems on FPGA

Symmetric Multiprocessor Systems on FPGA

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International Conference on Reconfigurable Computing and FPGAs (ReConFig)

作者： Pablo Huerta Javier Castillo Cesar Pedraza Javier Cano Jose Ignacio Martinez Department of Computer Architecture and Technology Computer Science and IA Rey Juan Carlos University Mostoles Spain

Advances in FPGA technologies allow designing highly complex systems using on-chip FPGA resources and intellectual property (IP) cores. Furthermore, it is possible to build multiprocessor systems using hard-core or soft-core processors, increasing the range of applications that can be implemented on an FPGA. In this paper we propose a symmetric multiprocessor architecture using the Microblace soft-core processor, and the operating system support needed for running multithreaded applications. Four systems with different shared memory configurations have been implemented on FPGA and tested with parallel applications to show its performance.

关键词： Multiprocessing systems Field programmable gate arrays Operating systems computer architecture computer science System-on-a-chip Intellectual property Application software System testing Taxonomy

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Adaptive video-on-demand broadcasting in ubiquitous computing environment

Adaptive video-on-demand broadcasting in ubiquitous computin...

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作者： Peng, Chao Tan, Yasuo Xiong, Naixue Yang, Laurence T. Park, Jong Hyuk Kim, Soon-Seok Network Architecture Group National Institute of Information and Communications Technology 4-2-1 Nukui-Kitamachi Koganei Tokyo 184-8795 Japan Graduate School of Information Science Japan Advanced Institute of Science and Technology 1-1 Asahidai Nomi Ishikawa 923-1292 Japan Department of Computer Science Georgia State University Atlanta GA United States Department of Computer Science St. Francis Xavier University Antigonish NS B2G 2W5 Canada Department of Computer Science and Engineering Kyungnam University Masan Korea Republic of Department of Computer Engineering Halla University Wonju Korea Republic of

Video-on-demand (VOD) is a service that allows users to view any video program from a server at the time of their choice, such kind of services are expected to be popular in future ubiquitous computing environment. Lots of broadcasting protocols for VOD services have been proposed, but they usually focus only on the tradeoff between bandwidth and delay, thus they are usually not efficient for the local storage. Since the ubiquitous network is heterogeneous and users will have different resource and communication capability, we need to address the storage issue in VOD systems. In this paper, we present several new effective broadcasting schemes, which can intelligently adjust the solution according to available bandwidth and local storage to achieve an ideal waiting time. © Springer-Verlag London Limited 2009.

关键词： Video on demand

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Localizing Loads Execution in a Data Cache Distributed Processor architecture

Localizing Loads Execution in a Data Cache Distributed Proce...

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International Association of computer science and Information technology - Spring Conference, IACSITSC

作者： Ruiling Dou Hong An Rui Guo Wenting Han Ming Cong Yongqing Ren Department of Computer Science and Technology University of Science and Technology Hefei China Key Laboratory of Computer System and Architecture Chinese Academy and Sciences Beijing China

To scale with the on-chip wire delay, the inside of a processor will further be partitioned into more small banks. As the amount of data cache bank scales, the load routing latency will contribute a considerable portion to program executing time. In a tiled processor like T-Flex, we observed that the average load routing latency (hit in data cache) can be largely reduced (by 72.1%) when data is perfectly placed in where the load issues. To reduce the long routing latency of critical loads, we give out a solution for localizing load execution at issuing side in this paper. However, this method will induce overhead of data copies and extra communications to maintain coherence and memory order. We explore the design space for localizing data access, with special respect to maximizing benefits at expense of relatively small overhead. We observed the access frequency and load store behaviors for different copies vary largely, with large amount of successive load accesses concentrating on small amount of data blocks. Our experiments show that with special replication and data copy invalidation strategies, copying overhead will be controlled while maintaining considerable performance profits.

关键词： Delay Tiles computer architecture Routing Processor scheduling computer science Springs Wire Space exploration Art

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