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An improved investment priority decision method for the electrical facilities considering reliability of distribution networks

An improved investment priority decision method for the elec...

引用

2005 IEEE Power engineering Society General Meeting

作者： Choi, J.H. Park, C.H. Chae, W.K. Jang, S.I. Kim, K.H. Park, K. IEEE Korea Republic of Power System Laboratory Korea Electric Power Research Institute Korea Electric Power Corporation Taejeon 103-16 Korea Republic of BK21 Research Division for Information Technology Seoul National University Seoul 151-742 Korea Republic of Department of Electrical and Computer Engineering Kangwon National University Chuncheon 200-701 Korea Republic of Next-Generation Power Technology Center Korea Republic of School of Electrical Engineering Seoul National University Seoul 151-742 Korea Republic of Power System Laboratory Korea Electric Power Research Institute Korea Electric Power Corporation Korea Republic of KIEF United States KIIEE Korea Republic of BK21 Research Division for Information Technology Seoul National University Korea Republic of Department of Electrical and Computer Engineering Kangwon National University Korea Republic of School of Electrical Engineering Seoul National University Korea Republic of

ISBN: (纸本)078039156X

This paper proposes an improved investment priority decision method of the facilities considering the reliability of distribution networks. The proposed method decides an investment order of the facilities combining, by fuzzy rules, the investment priority decision by KEPCO and it by reliability evaluation indices. Where reliability evaluation indices are SAIFI(system Average Interruption Frequency Index) and SAIDI(system Average Interruption Duration Index). The reliability analysis method of distribution networks applied in this paper utilizes analytic method, where the used reliability data is historical data of KEPCO. Particularly, we assumed that the failure rate increased as the equipment ages. To verify the performance of the proposed method, we applied it with the planned projects to reinforce the weak facility electrical facilities in KEPCO in 2004. The evaluation result showed that, under a limited budget, the reliability of the KEPCO in the Busan region using the proposed method could be enhanced than using the conventional KEPCO's method. Therefore, the results verify the proposed method can be efficiently used in the actual priorities method for investing the electrical facilities. © 2005 IEEE.

关键词： Electric utilities

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The ISI and the CTW

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Cognition, Technology & Work 2005年第1期7卷 1-2页

作者： Hollnagel, Erik Cacciabue, Pietro C. Department of Computer and Information Science Cognitive Systems Engineering Laboratory (CSELAB) University of Linköping Linköping Sweden EC Joint Research Centre Institute for System Informatics and Safety Human Factors Sector Ispra (VA) Italy

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Neural network based framework for goal event detection in soccer videos

Neural network based framework for goal event detection in s...

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IEEE International Symposium on Multimedia

作者： K. Wickramaratna Min Chen Shu-Ching Chen Mei-Ling Shyu Distributed Multimedia Information System Laboratory School of Computing and Information Sciences Florida International University Miami FL USA Department of Electrical and Computer Engineering University of Miami Coral Gables FL USA

In this paper, a neural network based framework for semantic event detection in soccer videos is proposed. The framework provides a robust solution for soccer goal event detection by combining the strength of multimodal analysis and the ability of neural network ensembles to reduce the generalization error. Due to the rareness of the goal events, the bootstrapped sampling method on the training set is utilized to enhance the recall of goal event detection. Then a group of component networks are trained using all the available training data. The precision of the detection is greatly improved via the following two steps. First, a pre-filtering step is employed on the test set to reduce the noisy and inconsistent data, and then an advanced weighting scheme is proposed to intelligently traverse and combine the component network predictions by taking into consideration the prediction performance of each network. A set of experiments are designed to compare the performance of different bootstrapped sampling schemes, to present the strength of the proposed weighting scheme in event detection, and to demonstrate the effectiveness of our framework for soccer goal event detection.

关键词： Neural networks Event detection Intelligent networks Videos Hidden Markov models Robustness Sampling methods Feature extraction Multimedia systems Multimedia computing

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Research on the link traffic based edge measurement

Research on the link traffic based edge measurement

引用

International Conference on Communications, Circuits and systems (ICCCAS)

作者： Feng-jun Shang Key Laboratory of Opto-Electronic Technology and System of Ministry of Education College of Opto-Electronic Engineering Chongqing University Chongqing China College of Computer Science and Technology University of Posts and Telecommunications Chongqing China

In order to manage the whole network, a novel traffic model is proposed based the active probe method. The core of the model has three parts: first, we measure the routing probability matrix by injecting a probe packet train into the network based on the Internet protocol measurement protocol (IPMP) by the Poisson law. Second, we use a passive measurement method to acquire sd traffic. Last, we can compute link traffic by means of network tomography. We prove the validity of the edge measurement method. Our computing results show the competing link traffic error within about 30% by the edge measurement model.

关键词： Traffic control Telecommunication traffic Communication system traffic control computer networks Educational institutions computer network management Probes Routing protocols Tomography Time measurement

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State of Art of the Distributed Measurement systems for Industrial and Educational Purposes

State of Art of the Distributed Measurement Systems for Indu...

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IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing systems: Technology and Applications

作者： D. Grimaldi S. Rapuano T. Laopoulos Department of Electronics Computer and System Science University of Calabria Rende Cosenza Italy Department of Engineering University of Sannio Benevento Italy Electronics Laboratory Physics Department Aristotle University of Thessaloniki Thessaloniki Greece

The large diffusion of the distributed measurement systems (DMS) aims to providing innovative solutions to different situations which appear for both industrial and educational applications. Consequently, advanced hardware platforms and innovative software architectures are demanded. In these situations, the development of novel approaches in software and hardware tools for DMS has fundamental importance. The paper provides an overview of the hardware and software architectures which are currently used to develop DMSs, focusing on advanced topics concerning the DMS management. In particular, the workload, the synchronization and the communication delay aspects are taken into account.

关键词： Art Instruments Application software computer networks Industrial electronics Laboratories Hardware computer network reliability Industrial training Distributed computing

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Collaborative Filtering by Mining Association Rules from User Access Sequences

Collaborative Filtering by Mining Association Rules from Use...

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International Workshop on Challenges in Web Information Retrieval and Integration (WIRI)

作者： Mei-Ling Shyu C. Haruechaiyasak Shu-Ching Chen Na Zhao Department of Electrical and Computer Engineering University of Miami Coral Gables FL USA Information Research and Development Division National Electronics and Computer Technology Center Pathum Thani Thailand Distributed Multimedia Information System Laboratory School of Computer Science Florida International University Miami FL USA

Recent research in mining user access patterns for predicting Web page requests focuses only on consecutive sequential Web page accesses, i.e., pages which are accessed by following the hyperlinks. In this paper, we propose a new method for mining user access patterns that allows the prediction of multiple non-consecutive Web pages, i.e., any pages within the Web site. Our approach consists of two major steps. First, the shortest path algorithm in graph theory is applied to find the distances between Web pages. In order to capture user access behavior on the Web, the distances are derived from user access sequences, as opposed to static structural hyperlinks. We refer to these distances as minimum reaching distance (MRD) information. The association rule mining (ARM) technique is then applied to form a set of predictive rules which are further refined and pruned by using the MRD information. The proposed approach is applied as a collaborative filtering technique to recommend Web pages within a Web site. Experimental results demonstrate that our approach improves performance over the existing Markov model approach in terms of precision and recall, and also has a better potential of reducing the user access time on the Web

关键词： Collaboration Data mining Association rules Web pages Predictive models Information filtering Information filters Web server Research and development Distributed computing

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Research on the link traffic based on passive measurement

Research on the link traffic based on passive measurement

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Feng-Jun Shang Ying-Jun Pan Key Laboratory of Opto-electronic Technology and System of Ministry of Education College of Opto-electronic Engineering Chongqing University Chongqing China College of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongqing China

In order to manage the whole network, a novel traffic model is proposed based on the active probe method. The core of the model has three parts: first, we measure routing probability matrix by injecting probe packet train into the network based on the Internet protocol measurement protocol (IPMP) by Poisson law. Second, we use passive measurement method to acquire sd traffic. Last, we can compute link traffic by means of network tomography. We prove the validity of edge measurement method. Our computing results show the competing link traffic error within about 30% by edge measurement model.

关键词： Traffic control Telecommunication traffic Communication system traffic control computer networks Time measurement Tomography Routing protocols Educational institutions Educational technology computer network management

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Five-phase interior permanent magnet motor for hybrid electric vehicle application

Five-phase interior permanent magnet motor for hybrid electr...

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IEEE Conference on Vehicle Power and Propulsion (VPPC)

作者： L. Parsa A. Goodarzi H.A. Toliyat Department of Electrical Computer and System Engineering Rensselaer Polytechnic Institute Troy NY USA US Hybrid Company Torrance CA USA Advanced Electric Machines & Power Electronics Laboratory Department of Electrical Engineering Texas A and M University College Station TX USA

Five-phase interior permanent magnet motors are very good candidates for hybrid electric vehicle applications. High torque pulsation is the major disadvantage of most IPM motor configurations. Choosing proper number of stator slots as well as winding distribution and increasing number of phases are among the possible solutions for reducing torque pulsation. In this paper, five-phase interior permanent magnet motor with fractional-slot stator is studied. It is shown that despite other IPM motors; the proposed five-phase IPM motor with fractional slot has a very low torque pulsation. The mathematical model of five phase interior permanent magnet motor is given. Also it is shown that the MMF of the five-phase motor can remain unchanged by applying proper control algorithm in case of loss of up to two phases. A prototype four pole, IPM motor with 15 stator slots has been built and is used for experimental verification.

关键词： Permanent magnet motors Hybrid electric vehicles Torque Reluctance motors Synchronous motors Rotors Stator windings Forging Application software Propulsion

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Unknown Input Detection Using Receding Horizon Approach

Unknown Input Detection Using Receding Horizon Approach

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IEEE International Symposium on Intelligent Control (ISIC)

作者： B. Kulcsar J. Bokor Department of Transport Automation Faculty of Transportation Engineering Budapest University슠of슠Technology슠and슠Economics Budapest Hungary System and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

The paper offers the possibility of the design of unknown input detection for dynamic systems under external noise effect. The presented geometric based fundamental problem in residual generation (FPRG) method uses on the one hand the Kalman filtering and on the other hand the moving horizon estimation (MHE) when stochastic noise on the input and on the output, with additive failure directions, are presents. The paper combines the optimal Kalman and MHE method with geometric based unknown input observer strategy. The MHE solution makes to treat constraints during the estimation process possible. A numerical example supports the necessity of constrained unknown input estimation

关键词： Fault detection State estimation Control systems Kalman filters Space technology Additive noise Automation Stability Predictive models Predictive control

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Long retention and low voltage operation using IrO/sub 2/HfAlO/HfSiO/HfalO gate stack for memory application

Long retention and low voltage operation using IrO/sub 2/HfA...

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International Electron Devices Meeting (IEDM)

作者： Y.Q. Wang P.K. Singh W.J. Yoo Y.C. Yeo G. Samudra A. Chin W.S. Hwang J.H. Chen S.J. Wang D.-L. Kwong Silicon Nano Device Laboratory Department of Electrical and Computer Engineering National University of Singapore Singapore Nano-Science Technology Center Department of Electro.Engineering National Chiao Tung University University System of Taiwan Hsinchu Taiwan Institute of Microelectronics Singapore University of Texas Austin USA

We demonstrate electrical properties of an advanced memory structure with high-k dielectric stack of HfAlO/HfSiO/HfXIO and p-type metal gate IrO 2 . Combining advantages of high-k HfAlO, good trapping capability of HfSiO, and high work function of the IrO 2 gate, we were able to attain much better retention with 10-year DeltaV th decay ratio within 18%, higher erasing speed with DeltaV th of 3V within 0.5ms at Vg equiv -12V, and lower operation voltage as well as lower reading voltage, compared to other contending device structures

关键词： Low voltage High-K gate dielectrics High K dielectric materials Annealing Hafnium oxide Tunneling Plasma properties Argon Sputtering Application software

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