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International Symposium on Communications and Information Technologies (ISCIT)

作者： Winai Jaikla Montree Siripruchyanan Electric and Electronic Program Faculty of Industrial Technology Suan Sunandha Rajabhat University Bangkok Thailand Department of Teacher Training in Electrical Engineering Faculty of Technical Education King Mongkut''s Institute of Technology North Bangkok Bangkok Thailand

This article introduces a capacitance multiplier employing operational transconductance amplifiers (OTAs). The provided capacitor is a floating element synthesized from a grounded capacitor. Its outstanding feature is that the capacitive value can be widely adjusted by input bias currents of the OTAs and is temperature-insensitive. The circuit construction comprises only four OTAs, three of them are single-output OTAs which are commercially available while one of them is a dual-output OTA, cooperating with a grounded capacitor. The circuit performances are depicted through PSPICE simulations, they show good agreement to theoretical anticipation. An application as a fifth-order Chebyshev high-pass filter is included to confirm the usability of proposed circuit

关键词： Temperature control Capacitance Capacitors Transconductance Operational amplifiers Circuit synthesis SPICE Circuit simulation Chebyshev approximation Filters

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Preliminary comparison of different neural-fuzzy mappers for load curve short term prediction

Preliminary comparison of different neural-fuzzy mappers for...

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Seminar on Neural Network Applications in electrical engineering

作者： Dzenana Malkocevic Tatjana Konjic Vladimiro Miranda TEMPUS CEFES post-graduation program Universities of Tuzla (BiH) Novi Sad Serbia Faculty of Electrical Engineering University of Tuzla Bosnia and Herzegovina INESC Porto research institute University of Porta Portugal

This paper is written with the didactic purpose of exploring and indicating possibilities to power companies in the Balkan region for the application of adaptive neuro-fuzzy inference system (ANFIS) models in load prediction with real load data set. ANFIS models were trained and tested using 15-minute load data collected in Portugal by the electric power company EDP during a 42 day period. Simulation results gave promising results especially considering small size of used data set. Although the objective of the paper is to demonstrate possibilities for practical implementation, further research and improvement including the contributions of similar approaches in the world must be done

关键词： Power system modeling Load forecasting Power system dynamics Adaptive systems Predictive models Power system control Power system planning Neural networks Fuzzy systems Power systems

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A genetic algorithm for the optimization of cable routing

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Systems and Computers in Japan 2006年第7期37卷 61-71页

作者： Ma, Xuan Iida, Kazuhiro Xie, Mengchun Nishino, Junji Odaka, Tomohiro Ogura, Hisakazu Graduate School of Engineering University of Fukui Fukui City 910-8507 Japan Wakayama National College of Technology Gobo City 644-0023 Japan Faculty of Automation and Information Engineering Xi an University of Technology B Techno College Department of Electrical and Computer Engineering Wakayama National College of Technology Information Processing Society of Japan China Mechanical Design Society Department of Systems Engineering University of Electro-Communications Japan Society for Fuzzy Theory and Intelligent Informatics Japanese Academy of Facial Studies Japan Society of Kansei Engineering Graduate Program of Nuclear Power and Energy Safety Engineering Graduate School of Engineering Fukui University IEEE CS ACM IPSJ IEICE JSMBET Department of Human and Artificial Intelligent Systems JSAI Japan SOFT IEEE

In this paper the authors propose a structural method for a genetic algorithm (GA) for the optimization problem of cable routing in which cables have to be laid optimally. When there are no limits on the layout routes, the optimal routes for the individual cables can be found using the Dijkstra method in a finite discrete graph. However, when there are limits on the capacity in the layout routes, optimization cannot be performed using the Dijkstra method. The proposed GA is a two-level hierarchical GA that uses chromosome coding involving two levels. The routes for each cable and the combinations of cable routes are defined respectively, and layout route selection is optimized overall through genetic operations involving these levels. Block crossover and block mutation are used as genetic operations in the first level. In addition, a method to take advantage of lethal genes, which do not satisfy the constraints and are generated in the second level is used. Computer simulations confirm that the two-level hierarchical GA with these genetic operations functions effectively for the optimization problem of cable routing. © 2006 Wiley Periodicals, Inc.

关键词： Electric cable laying

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Floating Positive and Negative Inductance Simulators Based on OTAs

Floating Positive and Negative Inductance Simulators Based o...

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International Symposium on Communications and Information Technologies (ISCIT)

作者： Winai Jaikla Montree Siripruchyanan Electric and Electronic Program Suan Sunandha Rajabhat University Bangkok Thailand Department of Teacher Training in Electrical Engineering Faculty of Technical Education King Mongkut's Institute of Technology North Bangkok Bangkok 10800 Thailand. Tel: +66-2-913-2500 Ext. 3328 Fax. +66-2-587-8255 E-mail: mts@kmitnb.ac.th

This paper reviews 2 circuits which are floating positive and negative inductance simulators using operational transconductance amplifiers (OTAs). The simulated inductance values can be controlled electronically by adjusting the bias current of the OTA. Each inductance simulator comprises only 2 OTAs and 1 grounded capacitor without any external resistor and component matching requirements. The circuit performances are depicted through PSPICE simulations, they show good agreement to theoretical anticipation. Some applications as resonant circuit and inductance cancellation circuit are included to confirm the usability of proposed circuits

关键词： Inductance Circuit simulation Operational amplifiers Capacitors RLC circuits Capacitance Transconductance Active filters Industrial training Educational technology

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Adaptive neuro-fuzzy inference system based optimal spinning reserve identification in competitive electricity market

Engineering Intelligent Systems

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engineering Intelligent Systems 2005年第1期13卷 53-59页

作者： Ongsakul, W. Chayakulkheeree, K. Energy Field of Study Sch. of Environ. Rsrc. and Devmt. Asian Institute of Technology Pathumthani 12120 Thailand Department of Electrical Engineering Faculty of Engineering Sripatum University Bangkok 10900 Thailand

This paper proposes an adaptive neuro-fuzzy inference system based optimal spinning reserve identification (ANFIS-OSR) in competitive electricity market. The probability of generation outage or forced outage rate (FOR), the value of lost load (VOLL), the daily load forecast uncertainty (LFU) and the spinning reserve price are used as the input values. The spinning reserve requirement in percentage of total real power generation is the output of the proposed ANFIS-OSR. The method can evaluate several uncertain factors affecting spinning reserve requirements in a soft computing manner. The ANFIS-OSR is tested on the IEEE one area reliability test system (RTS-96) and compared to the largest unit real power generation, ten percent of total real power generation and the minimum expected reliability cost (ERC) condition. It is shown that the solution of ANFIS-OSR is very close to the minimum ERC condition with a much faster CPU time. © 2005 CRL Publishing Ltd.

关键词： Neural networks

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Design of robust load-frequency stabilizers of SMES in coordination with SSSC

Design of robust load-frequency stabilizers of SMES in coord...

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International Power engineering Conference (IPEC)

作者： Ngamroo, I. Dechanupaprittha, S. Hongesombut, K. Mitani, Y. Kunakorn, A. Electrical Power Engineering Program Sirindhom International Institute of Technology Thammasat University Thailand Graduate School of Electrical Engineering Kyushu Institute of Technology Fukuoka Japan Electrical Engineering Department Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand

ISBN: (纸本)9810557027

This paper presents a design of robust load-frequency stabilizers of a superconducting magnetic energy storage (SMES) in coordination with a static synchronous series compensator (SSSC). As large load disturbances with changing frequency in the vicinity of the inter-area oscillations mode occur in an interconnected power system, a system frequency may be heavily perturbed and oscillatory. To stabilize frequency oscillations, a coordinated SMES with SSSC can be applied. On the other hand, variations of system parameters, several load changes etc., cause system uncertainties. To take such uncertainties into account, the multiplicative uncertainty is included in a system modeling. The structure of frequency stabilizer equipped with SMES and SSSC is a second-order lead/lag compensator. Control parameters of frequency stabilizers are automatically tuned by a tabu search. Simulation studies in a two-area interconnected power system confirm the effect of coordinated SMES with SSSC.

关键词： load-frequency stabilization SMES SSSC robust stability system uncertainties

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Edge detection using clustering algorithms

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WSEAS Transactions on Computers 2005年第5期4卷 417-423页

作者： Sirin, Tuba Saglam, Mehmet Izzet Erer, Isin Gokmen, Muhittin Informatics Institute Advanced Technologies in Engineering Computer Science and Engineering Istanbul Technical University Istanbul 34469 Turkey Informatics Institute Advanced Technologies in Engineering Satellite Communication and Remote Sensing Program Istanbul Technical University Istanbul 34469 Turkey Faculty of Electrical and Electronic Engineering Electronics and Communication Department Istanbul Technical University Istanbul 34469 Turkey Faculty of Electrical and Electronic Engineering Computer Engineering Department Istanbul Technical University Istanbul 34469 Turkey

Edge detection is an important topic in image processing and a main tool in pattern recognition and image segmentation. Many edge detection techniques are available in the literature. 'A number of recent edge detectors are multiscale and include three main processing steps: smoothing, differentiation and labeling' (Ziau and Tabbone, 1997). This paper, presents a proposed method which is suitable for edge detection in images. This method is based on the use of the clustering algorithms (Self-Organizing Map (SOM), K-Means) and a gray scale edge detector (Canny, Generalized Edge Detector (GED)). It is shown that using the grayscale edge detectors may miss some parts of the edges which can be found using the proposed method.

关键词： Edge detection

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A static reliability assessment for combined cycle power plant in Thailand

A static reliability assessment for combined cycle power pla...

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IASTED International Conference on Energy and Power Systems, EPS 2005

作者： Ongsakul, Weerakorn Chayakulkheeree, Keerati Energy Field of Study School of Environment Resources and Development Asian Institute of Technology Pathumthani 12120 Thailand Department of Electrical Engineering Faculty of Engineering Sripatum University Bangkok 10900 Thailand

This paper proposes a static reliability assessment for the combined cycle and thermal power plants in Thailand. A recursive algorithm for capacity model building is used to calculate the loss of load probability (LOLP), expected energy not serve (EENS), and the expected energy served by each generator. The annualized capital investment is taken into account as well as the value of lost load. The load duration curve and the generators forced outage rate data are obtained from the historical data of Thai power system. The result shown that the total expected cost of the system with combined cycle power plants is much lower than that of the system with thermal power plants due to the lower investment, fuel cost, and the expected outage cost. In addition, combined cycle power plants are the better candidates than thermal plants for the future power plants in Thailand.

关键词： Combined cycle power plants

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Suggestions for new features to support collaborative learning in virtual worlds

Proceedings - Third International Conference on Creating, Co...

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Proceedings - Third International Conference on Creating, Connecting and Collaborating through Computing, C5 2005 2005年 2005卷 127-134页

作者： Champion, Erik Sekiguchi, Sachiyo Information Environments Program School of Information Technology and Electrical Engineering University of Queensland QLD 4072 Australia Melbourne Institute of Asian Languages and Societies Faculty of Arts University of Melbourne Vic. 3010 Australia

ISBN: (纸本)0769523250

The authors have some experience in building virtual worlds for education purposes, in archaeology and for language learning. However, many mainstream world-building applications do not offer quick and appropriate ways of developing interactive and user-driven content that can be easily shared with other users. Many education-orientated applications also require built-in tracking and evaluation mechanisms. Evaluation of virtual worlds and communities is difficult enough as it is. While commercial game engines offer a form of task performance tracking, they typically lack non-violent ways of supporting interaction and collaborative teamwork. The chance to help students and the public to learn by creating and collaborating through the development of contextually relevant worlds is exciting. It is perhaps best served by an application containing a feature set designed specifically for content designers to create learning environments. In this paper we suggest some features that might help educational designers build better 'learning as sharing' experiences.

关键词： Computer supported cooperative work

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A comparative evaluation of competitive learning algorithms for edge detection enhancement

A comparative evaluation of competitive learning algorithms ...

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13th European Signal Processing Conference, EUSIPCO 2005

作者： Sirin, Tuba Saglam, Mehmet Izzet Erer, Isin Gokmen, Muhittin Ersoy, Okan Informatics Institute Advanced Technologies in Engineering Computer Science and Engineering Maslak Istanbul 34469 Turkey Informatics Institute Advanced Technologies in Engineering Satellite Communication and Remote Sensing Program Maslak Istanbul 34469 Turkey Faculty of Electrical and Electronic Engineering Electronics and Communication Department Maslak Istanbul 34469 Turkey Faculty of Electrical and Electronic Engineering Computer Engineering Department Istanbul Technical University Maslak Istanbul 34469 Turkey Purdue University School of Electrical and Computer Engineering West Lafayette IN United States

ISBN: (纸本)1604238216

Most edge detection algorithms include three main stages: smoothing, differentiation, and labeling. In this paper, we evaluate the performance of algorithms in which competitive learning is applied first to enhance edges, followed by an edge detector to locate the edges. In this way, more detailed and relatively more unbroken edges can be found as compared to the results when an edge detector is applied alone. The algorithms compared are K-Means, SOM and SOGR for clustering, and Canny and GED for edge detection. Perceptionally, best results were obtained with the GED-SOGR algorithm. The SOGR is also considerably simpler and faster than the SOM algorithm.

关键词： Edge detection

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