IEEJ Transactions on Electronics, Information and Systems
Online ISSN : 1348-8155
Print ISSN : 0385-4221
ISSN-L : 0385-4221
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Volume 126, Issue 2
Displaying 1-29 of 29 articles from this issue
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Special Issue on “Application of Intelligent Information Processing Techniques to the Electric Power Industry”
Special Issue Review
  • Applications of Intelligent Technology to Power System Supervisory Control and Protection Systems
    Takeshi Nagata
    2006 Volume 126 Issue 2 Pages 146-149
    Published: 2006
    Released on J-STAGE: May 01, 2006
    DOIhttps://doi.org/10.1541/ieejeiss.126.146
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    Power system supervisory control and protection systems provide utilities with capabilities that are key to a planning business function, i.e., delivering power in a reliable and safe manner. A quality system solution is central to effective operation of a utility's most critical and costly generation, transmission, and distribution assets. The challenging issues for these systems today are not the same as they were few years ago. Today, there is much more placed on integration, use of new IT technologies, and access to information for more purposes.
    This article presents the topics of intelligent technology to the power system supervisory control and protection systems.
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  • A Review of New Power Supply Systems with Distributed Generations and Information Technologies
    Toshihisa Funabashi, Ryuichi Yokoyama
    2006 Volume 126 Issue 2 Pages 150-155
    Published: 2006
    Released on J-STAGE: May 01, 2006
    DOIhttps://doi.org/10.1541/ieejeiss.126.150
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    The paper reviews development trends of new power supply systems with distributed generations and information technologies. In addition, some study examples are shown, such as a automatic generation control system for islanded distribution systems, a microgrid monitoring and control system, and a protection relay system for distribution systems.
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  • Using Intelligent System Approaches for Simulation of Electricity Markets
    Tomoki Hamagami
    2006 Volume 126 Issue 2 Pages 156-160
    Published: 2006
    Released on J-STAGE: May 01, 2006
    DOIhttps://doi.org/10.1541/ieejeiss.126.156
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    Significances and approaches of applying intelligent systems to artificial electricity market is discussed. In recent years, with the moving into restructuring of electric system in Japan, the deregulation for the electric market is progressing. The most major change of the market is a founding of JEPX (Japan Electric Power eXchange.) which is expected to help lower power bills through effective use of surplus electricity. The electricity market designates exchange of electric power between electric power suppliers (supplier agents) themselves. In the market, the goal of each supplier agents is to maximize its revenue for the entire trading period, and shows complex behavior, which can model by a multiagent platform. Using the multiagent simulations which have been studied as “artificial market" helps to predict the spot prices, to plan investments, and to discuss the rules of market. Moreover, intelligent system approaches provide for constructing more reasonable policies of each agents. This article, first, makes a brief summary of the electricity market in Japan and the studies of artificial markets. Then, a survey of tipical studies of artificial electricity market is listed. Through these topics, the future vision is presented for the studies.
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  • A Trend of Diagnosis for Electric Power Equipment using Image Data
    Yasushi Shinohara, Takashi Onoda
    2006 Volume 126 Issue 2 Pages 161-166
    Published: 2006
    Released on J-STAGE: May 01, 2006
    DOIhttps://doi.org/10.1541/ieejeiss.126.161
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    Japanese electric power companies aim to utilize existing equipment fully and to maintain facilities effectively. And digital camera and digital video technologies have realized high performance and low price recentlly. In this explanation, we describe a trend of diagnosis for electric power equipment using digital image data. Especially, we intorduce a cross arm reuse judgement system, an analog meter reader system, and an abnormal points of power lines detection support system.
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Special Issue Paper
<System Engineering>
  • Autonomous Decentralized Voltage Profile Control of Super Distributed Energy System using Multi-agent Technology
    Takao Tsuji, Ryoichi Hara, Tsutomu Oyama, Keiichiro Yasuda
    2006 Volume 126 Issue 2 Pages 167-176
    Published: 2006
    Released on J-STAGE: May 01, 2006
    DOIhttps://doi.org/10.1541/ieejeiss.126.167
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    A super distributed energy system is a future energy system in which the large part of its demand is fed by a huge number of distributed generators. At one time some nodes in the super distributed energy system behave as load, however, at other times they behave as generator - the characteristic of each node depends on the customers' decision. In such situation, it is very difficult to regulate voltage profile over the system due to the complexity of power flows. This paper proposes a novel control method of distributed generators that can achieve the autonomous decentralized voltage profile regulation by using multi-agent technology. The proposed multi-agent system employs two types of agent; a control agent and a mobile agent. Control agents generate or consume reactive power to regulate the voltage profile of neighboring nodes and mobile agents transmit the information necessary for VQ-control among the control agents. The proposed control method is tested through numerical simulations.
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  • An Evaluation and Consideration on Prototype Power Control System based on Distributed Object and Mobile Agent Technologies
    Shigeki Katayama, Takehiko Tsuchiya, Tatsuji Tanaka, Kazuya Omata, Hir ...
    2006 Volume 126 Issue 2 Pages 177-186
    Published: 2006
    Released on J-STAGE: May 01, 2006
    DOIhttps://doi.org/10.1541/ieejeiss.126.177
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    In this paper, the authors develop a prototype cooperative VQC system using distributed object and mobile agent technologies as an actual application of DRNA. DRNA is the architecture of power system communications for achieving seamless, real-time, adaptive and secure information exchange among distributed power equipments.
    The authors apply this architecture to an analog power system simulator, and confirm that it can properly control the voltages of the simulator in real-time. And the authors make two studies. The former is to apply such technologies into real-time power control systems. The latter is the intellectual agent technologies as the method to develop concept-based power system.
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<Software and Information Processing>
  • A Distributed Autonomous Approach for Bulk Power System Restoration by Means of Multi-Agent System
    Takeshi Nagata, Yoshiki Tahara, Daisuke Kunisa, Hideki Fujita
    2006 Volume 126 Issue 2 Pages 187-193
    Published: 2006
    Released on J-STAGE: May 01, 2006
    DOIhttps://doi.org/10.1541/ieejeiss.126.187
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    In recent years, the electric utility industry worldwide has been facing pressure to be deregulated. Along with it, risk of blackout in large area will also increase. Actually, it is still vivid in our memory that the northeastern US and southern Canada suffered the worst blackout in history. Consequently, a method to find the optimal solution rapidly is needed all the more. In this paper, we propose a new multi-agent method for a bulk power system restoration. In order to demonstrate the capability of the proposed multi-agent system, it has been applied to a model bulk power system, which consists of three local areas including twelve generating units and twelve loads, and three remote areas with twelve loads. A large number of simulations are carried out on this model network with changing conditions. The simulation results show that the proposed multi-agent approach is effective and promising.
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Special Issue Letter
<Control and Measurement>
Paper
<Integrated Electronic-Circuits>
  • Advanced Neuron MOS Variable Logic Circuit
    Yohei Ishikawa, Sumio Fukai, Masayoshi Aikawa
    2006 Volume 126 Issue 2 Pages 196-202
    Published: 2006
    Released on J-STAGE: May 01, 2006
    DOIhttps://doi.org/10.1541/ieejeiss.126.196
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    With the rapid development of integrated circuit technology, reconfigurable circuit attracts much attention. Neuron MOS transistors have been studied as biological neuron-like flexible circuits. Dramatic reduction in the number of transistors and interconnections were achieved by employing the neuron MOS transistors in binary logic circuit designs. This paper proposes the two-input variable logic circuit composed of neuron MOS transistors. The general design technique of the variable logic circuit hasn't been proposed yet. Therefore, as the design technique of the variable logic circuit, the simple neuron MOS comparator is also proposed in this paper. The new design technique using expanded Floating-Gate Potential Diagram (FPD) is shown. A proposed circuit reduces a circuit area drastically in comparison with the conventional circuit. Neuron MOS variable logic circuit is capable of realizing fundamental logic functions. Moreover, 16 kinds of logic functions are realizable by carrying out external signal dynamically. Proposed circuits were fabricated by On-Semiconductor 1.2 μm double-polysilicon CMOS process through VDEC and the circuit operation was experimentally confirmed.
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<Sound and Image Processing and Recognition>
  • Rotation Invariant Image Matching Using Geometrical Edge Histogram Space
    Hiroki Hayashi, Fumihiko Saitoh
    2006 Volume 126 Issue 2 Pages 203-209
    Published: 2006
    Released on J-STAGE: May 01, 2006
    DOIhttps://doi.org/10.1541/ieejeiss.126.203
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    The template matching is a method to search the target image area that is similar to the registered template image. The template matching is a general-purposed and simple method. But the target image must have the right position as the template image generally. Therefore it requires large computational cost when the location and the inclination of a target image area are unknown. This paper proposes a template matching method to search a target image area that has a free location and a free inclination using the two-dimensional histogram space spread by the relative edge angle at an objective pixel in the image area to the direction angle from the center of the image area to the objective pixel and the distance from the center to the objective pixels. The experimental results show that the proposed method had high reliability for matching without influence of the changes about inclinations and locations of the target image areas.
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  • Multiple Objects Tracking based on Auto-selection of Color Image Processing Methods
    Kazuyuki Morioka, Yoichi Kuroda, Joo-Ho Lee, Hideki Hashimoto
    2006 Volume 126 Issue 2 Pages 210-219
    Published: 2006
    Released on J-STAGE: May 01, 2006
    DOIhttps://doi.org/10.1541/ieejeiss.126.210
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    In order to achieve the applications using vision sensors, it is impotrant to extract and track the moving objects from image sequences. Some tracking systems often prepare the models of the objects in advance. It is difficult to adopt this model based tracking in the general environment where many kinds of objects exist. On the other hand, model based tracking is efficient for the tracking in the crowded environment. We propose the color histogram based tracking system including the object model construction and object correspondence between frames by the fusion of the bottom-up process and top-down process.
    In this paper, two processes that configure the tracking sysytem are described. Then, process selection method in the proposed tracking system is explained. Finally, experimental results of objects are shown and effect of the proposed tracking system is also explained.
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  • Pictogram Extraction Algorithm for Local and Parallel Processing
    Satohi Iwakata, Daisuke Fujita, Yoshiaki Ajioka, Masafumi Hagiwara
    2006 Volume 126 Issue 2 Pages 220-227
    Published: 2006
    Released on J-STAGE: May 01, 2006
    DOIhttps://doi.org/10.1541/ieejeiss.126.220
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    In this paper, we propose a new pictogram extraction algorithm which consists of only local processings. The proposed algorithm preserves accuracy with simple and local processing instead of high cost and global processings. This approach is very important for parallel image processing by a low cost device, because each pixel can be processed in parallel. The proposed algorthm can estimate degree of square by pixel count method to extract pictograms. The proposed algorithm has been tested using 100 scenery images. The effectiveness has been confirmed from the results of the computer simulations.
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  • Image Contrast Improvement Based on Differential Gray-levels Histogram
    Fumihiko Saitoh
    2006 Volume 126 Issue 2 Pages 228-236
    Published: 2006
    Released on J-STAGE: May 01, 2006
    DOIhttps://doi.org/10.1541/ieejeiss.126.228
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    When a captured image does not have good contrast, a method for improving its contrast that converts gray-levels based on the distribution of gray-levels included in the image is generally applied. A resultant image with good contrast does not always generated because the conventional method does not use a spatial feature included in an input image. This paper proposes a method for contrast improvement that can enhance differential gray-levels in an image in order to generate a resultant image with clearness and good contrast. The proposed method determines a gray-level of each pixel according to a Look-up-table generated from a histogram to represent a distribution of differential gray-levels. The experimental results show that the resultant images with natural and clear contrast were generated by the proposed method.
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  • Noise Removal for Medical X-ray Images in Wavelet Domain
    Ling Wang, Jianming Lu, Yeqiu Li, Takashi Yahagi, Takahide Okamoto
    2006 Volume 126 Issue 2 Pages 237-244
    Published: 2006
    Released on J-STAGE: May 01, 2006
    DOIhttps://doi.org/10.1541/ieejeiss.126.237
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    Many important problems in engineering and science are well-modeled by Poisson noise, the noise of medical X-ray image is Poisson noise. In this paper, we propose a method of noise removal for degraded medical X-ray image using improved preprocessing and improved BayesShrink (IBS) method in wavelet domain. Firstly, we pre-process the medical X-ray image, Secondly, we apply the Daubechies (db) wavelet transform to medical X-ray image to acquire scaling and wavelet coefficients. Thirdly, we apply the proposed IBS method to process wavelet coefficients. Finally, we compute the inverse wavelet transform for the thresholded coefficeints. Experimental results show that the proposed method always outperforms traditional methods.
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<Control and Measurement>
  • Glossiness of Colored Papers based on Computer Graphics Model and Its Measuring Method
    Teizo Aida
    2006 Volume 126 Issue 2 Pages 245-254
    Published: 2006
    Released on J-STAGE: May 01, 2006
    DOIhttps://doi.org/10.1541/ieejeiss.126.245
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    In the case of colored papers, the color of surface effects strongly upon the gloss of its paper. The new glossiness for such a colored paper is suggested in this paper. First, using the Achromatic and Chromatic Munsell colored chips, the author obtained experimental equation which represents the relation between lightness V ( or V and saturation C ) and psychological glossiness Gph of these chips. Then, the author defined a new glossiness G for the colored papers, based on the above mentioned experimental equations Gph and Cook-Torrance's reflection model which are widely used in the filed of Computer Graphics. This new glossiness is shown to be nearly proportional to the psychological glossiness Gph. The measuring system for the new glossiness G is furthermore descrived. The measuring time for one specimen is within 1 minute.
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  • Traffic Flow Forecasting using the DESFM Model
    Cao Kai, Zhao Mo, Yoshio Hamamatsu
    2006 Volume 126 Issue 2 Pages 255-263
    Published: 2006
    Released on J-STAGE: May 01, 2006
    DOIhttps://doi.org/10.1541/ieejeiss.126.255
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    Acquiring the real-time information about traffic flow is one of the important steps toward the realization of ITS. For this purpose, we propose an approach for forecasting traffic flow. The proposed approach uses a double exponential smoothing (DES) model, first, to predict the future datum. Then, a Fourier series is employed to fit a residual series between the predicted series produced by the DES model and the actual observed series for all previous time steps, and to give a estimated value at the next step so as to correct the prediction of DES model. Furthermore, a Markov model is adopted to describe the transition behavior of the residual series and to construct a forecast trend adjustment scheme. Smoothing parameters of the DES model is determined by using Levenberg-Marquardt algorithm. The model integrated the Fourier residual correction scheme with the Markov forecast trend adjustment scheme is called DESFM model. The DESFM model is applied to predict the traffic flow of Route 23 in Nagoya-shi, Aichi-ken, and the performed results is compared with ARIMA prediction approach.
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  • Continuous Mass Measurement on Conveyor Belt
    Yuki Tomobe, Ryosuke Tasaki, Takanori Yamazaki, Hideo Ohnishi, Masaaki ...
    2006 Volume 126 Issue 2 Pages 264-269
    Published: 2006
    Released on J-STAGE: May 01, 2006
    DOIhttps://doi.org/10.1541/ieejeiss.126.264
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    The continuous mass measurement of packages on a conveyor belt will become greatly important. In the mass measurement, the sequence of products is generally random. An interesting possibility of raising throughput of the conveyor line without increasing the conveyor belt speed is offered by the use of two or three conveyor belt scales (called a multi-stage conveyor belt scale). The multi-stage conveyor belt scale can be created which will adjust the conveyor belt length to the product length. The conveyor belt scale usually has maximum capacities of less than 80kg and 140cm, and achieves measuring rates of more than 150 packages per minute and more. The output signals from the conveyor belt scale are always contaminated with noises due to vibrations of the conveyor and the product to be measured in motion. In this paper an employed digital filter is of Finite Impulse Response (FIR) type designed under the consideration on the dynamics of the conveyor system. The experimental results on the conveyor belt scale suggest that the filtering algorithms are effective enough to practical applications to some extent.
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<Neural Network, Fuzzy and Chaos Systems>
  • Adaptive Particle Swarm Optimization Using Information about Global Best
    Teruyoshi Yamaguchi, Nobuhiro Iwasaki, Keiichiro Yasuda
    2006 Volume 126 Issue 2 Pages 270-276
    Published: 2006
    Released on J-STAGE: May 01, 2006
    DOIhttps://doi.org/10.1541/ieejeiss.126.270
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    The Particle Swarm Optimization method is one of the most powerful optimization methods available for solving global optimization problems. However, knowledge of adaptive strategies for tuning the parameters of the method for application to large-scale nonlinear non-convex optimization problems is as yet limited. This paper describes an adaptive strategy for tuning the parameters of the PSO method based on some numerical analysis of the behavior of PSO. The proposed adaptive tuning strategy is based on self-tuning of the parameters of PSO, which strategy utilize the information about the frequency of an updated global best of a swarm. The feasibility and advantages of the proposed adaptive PSO algorithm are demonstrated through some numerical simulations using three different typical global optimization test problems.
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<System Engineering>
  • Distributed Video Data Management System with Search Interface based on Virtual Wall
    Yiqun Wang, Yoshinori Hijikata, Shogo Nishida
    2006 Volume 126 Issue 2 Pages 277-289
    Published: 2006
    Released on J-STAGE: May 01, 2006
    DOIhttps://doi.org/10.1541/ieejeiss.126.277
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    Monitoring cameras with the capability of connecting to the Internet are increasing. This paper proposes a system which manages the distributed video data efficiently and has an interface which can be operated easily. For managing video data, the raw video data is stored in a local PC which directly connects to the camera and only the recording information is managed in the server by using a spatio-temporal indexing algorithm. The data communication is conducted through HTTP and the search input and output is realized in Web browser. For the search interface, we propose an input method of search key which does not insist users to care the locations of cameras by introducing the idea of virtual wall. We also provide a search result interface which allows users to narrow down the video data in the search result.
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<Software and Information Processing>
Letter
<Communication and Networks>
  • A Home Health Care System for Family Doctor
    Ryuji Hamabe, Norihiro Taketa
    2006 Volume 126 Issue 2 Pages 295-296
    Published: 2006
    Released on J-STAGE: May 01, 2006
    DOIhttps://doi.org/10.1541/ieejeiss.126.295
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    We propose a constitution technique of small-scale Home Health Care system for family doctor that has been developed by applying various API of JAVA. One function is vital data transmission which allows a family doctor to check the data of elderly persons with ease via Internet. Vital data is encrypted and transmitted for the purpose of security. The other function is telecommunication with voice and face image for care consulting.
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<Sound and Image Processing and Recognition>
Errata
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