Pub Date : 2002-11-07DOI: 10.1109/SCORED.2002.1033091
J. H. Leong
Design methodology and consideration for 6/4 switched reluctance motor (SRM) drive are presented. The initial geometries of the machine are estimated using a series of empirical rules. Due to the complex geometry of the doubly salient structure and the highly nonlinear nature of the motor, a detailed analysis of the electromagnetic performance of SRM is essential to fine-tune the preliminary design. Static electromagnetic modeling alone without considering the electrical transient operation of the motor is insufficient to predict the performance of the motor. Hence, a simulation model of SRM, which takes into account the nonlinear magnetization data obtained from finite element (FE) analysis, is built to study the dynamic behavior of the motor. The final design of the SRM, and its associated power converter and controller, have been prototyped. Various tests have been carried out and the measured results show that the prototype works as expected.
{"title":"Design consideration and implementation of switched reluctance motor drive","authors":"J. H. Leong","doi":"10.1109/SCORED.2002.1033091","DOIUrl":"https://doi.org/10.1109/SCORED.2002.1033091","url":null,"abstract":"Design methodology and consideration for 6/4 switched reluctance motor (SRM) drive are presented. The initial geometries of the machine are estimated using a series of empirical rules. Due to the complex geometry of the doubly salient structure and the highly nonlinear nature of the motor, a detailed analysis of the electromagnetic performance of SRM is essential to fine-tune the preliminary design. Static electromagnetic modeling alone without considering the electrical transient operation of the motor is insufficient to predict the performance of the motor. Hence, a simulation model of SRM, which takes into account the nonlinear magnetization data obtained from finite element (FE) analysis, is built to study the dynamic behavior of the motor. The final design of the SRM, and its associated power converter and controller, have been prototyped. Various tests have been carried out and the measured results show that the prototype works as expected.","PeriodicalId":6865,"journal":{"name":"2016 IEEE Student Conference on Research and Development (SCOReD)","volume":"2 1","pages":"196-199"},"PeriodicalIF":0.0,"publicationDate":"2002-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84160379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-11-07DOI: 10.1109/SCORED.2002.1033138
M. L. Sim, H. T. Chuah
In cellular WCDMA systems, power control is used to assist the receiver to achieve minimum signal power deviation from its desired mean value. By minimising the signal power variation, the desired bit error rate of the desired user can be achieved while causing minimum interference to other multiple access users. We investigate two power control algorithms. Namely, the conventional fixed step-size power control algorithm and the newly proposed adaptive step-size algorithm. Simulations on a frequency selective fading, L-resolvable multipaths reverse link system were carried out. Lastly, results in terms of bit error probability for the above mentioned algorithms were presented.
{"title":"Performance of power control algorithms in wideband CDMA systems","authors":"M. L. Sim, H. T. Chuah","doi":"10.1109/SCORED.2002.1033138","DOIUrl":"https://doi.org/10.1109/SCORED.2002.1033138","url":null,"abstract":"In cellular WCDMA systems, power control is used to assist the receiver to achieve minimum signal power deviation from its desired mean value. By minimising the signal power variation, the desired bit error rate of the desired user can be achieved while causing minimum interference to other multiple access users. We investigate two power control algorithms. Namely, the conventional fixed step-size power control algorithm and the newly proposed adaptive step-size algorithm. Simulations on a frequency selective fading, L-resolvable multipaths reverse link system were carried out. Lastly, results in terms of bit error probability for the above mentioned algorithms were presented.","PeriodicalId":6865,"journal":{"name":"2016 IEEE Student Conference on Research and Development (SCOReD)","volume":"1 1","pages":"382-385"},"PeriodicalIF":0.0,"publicationDate":"2002-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81690125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-11-07DOI: 10.1109/SCORED.2002.1033122
K. Mohammadi, A. Monfared, A. M. Nejad
This paper presents a method for analog circuit fault diagnosis by using neural networks. This method exploits a DC approach for constructing a dictionary in fault diagnosis using the neural network's classification capability. Also, Radial Basis Function (RBF) and backward error propagation (BEP) networks are considered and compared for analog fault diagnosis. The primary focus of the paper is to provide robust diagnosis using a mechanism to deal with the problem of component tolerance and reduce testing time. Simulation results show that the radial basis function network with reasonable dimension has double precision in fault classification but its classification is local, while the backward error propagation network with reasonable dimension has single precision in fault classification but its classification is global.
{"title":"Fault diagnosis of analog circuits with tolerances by using RBF and BP neural networks","authors":"K. Mohammadi, A. Monfared, A. M. Nejad","doi":"10.1109/SCORED.2002.1033122","DOIUrl":"https://doi.org/10.1109/SCORED.2002.1033122","url":null,"abstract":"This paper presents a method for analog circuit fault diagnosis by using neural networks. This method exploits a DC approach for constructing a dictionary in fault diagnosis using the neural network's classification capability. Also, Radial Basis Function (RBF) and backward error propagation (BEP) networks are considered and compared for analog fault diagnosis. The primary focus of the paper is to provide robust diagnosis using a mechanism to deal with the problem of component tolerance and reduce testing time. Simulation results show that the radial basis function network with reasonable dimension has double precision in fault classification but its classification is local, while the backward error propagation network with reasonable dimension has single precision in fault classification but its classification is global.","PeriodicalId":6865,"journal":{"name":"2016 IEEE Student Conference on Research and Development (SCOReD)","volume":"4 1","pages":"317-321"},"PeriodicalIF":0.0,"publicationDate":"2002-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81859762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-11-07DOI: 10.1109/SCORED.2002.1033149
Z. Zakaria, S. M. Bashi, N. Mailah, M. R. Othman, H. Osman
This paper describes the analytical and the experimental responses of the surges strike on the transmission line towers. A new method of calculating transmission tower surge response has been proposed. It has been found that the tower surge response calculated by the proposed method has a close agreement with the measured tower surge response obtained from scale model and field tests. Without the use of simulation program, this topic might be difficult to understand. PSCAD/EMTDC has been selected as the software used to generate the appropriate data needed to graphically demonstrate this phenomenon.
{"title":"Simulation of lightning surges on tower transmission using PSCAD/EMTDC: A comparative study","authors":"Z. Zakaria, S. M. Bashi, N. Mailah, M. R. Othman, H. Osman","doi":"10.1109/SCORED.2002.1033149","DOIUrl":"https://doi.org/10.1109/SCORED.2002.1033149","url":null,"abstract":"This paper describes the analytical and the experimental responses of the surges strike on the transmission line towers. A new method of calculating transmission tower surge response has been proposed. It has been found that the tower surge response calculated by the proposed method has a close agreement with the measured tower surge response obtained from scale model and field tests. Without the use of simulation program, this topic might be difficult to understand. PSCAD/EMTDC has been selected as the software used to generate the appropriate data needed to graphically demonstrate this phenomenon.","PeriodicalId":6865,"journal":{"name":"2016 IEEE Student Conference on Research and Development (SCOReD)","volume":"24 1","pages":"426-429"},"PeriodicalIF":0.0,"publicationDate":"2002-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82435362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-11-07DOI: 10.1109/SCORED.2002.1033130
S. Y. Koay, A. Ramli, Y. P. Lew, V. Prakash, R. Ali
This paper presents the steps involved in processing the output image obtained from image subtraction. A Web camera or Web cam is used as a video clip capture device and MATLAB version 6.01 with Image Processing Toolbox is used as the analysis software. Image frames extracted from the video clips undergo image subtraction for motion detection purposes. The continuous steps presented in this paper are thresholding, noise removal and motion region estimation. Thresholding determines the areas of output images (from subtraction) consisting of pixels with values lying within the threshold value range. Threshold value also indicates the sensitivity of motion to detection. The image still contains a small amount of noise after thresholding. Noise is removed using a median filtering method. Motion region estimation is done by executing an AND or OR operation on two subtracted images from three successive frames. Both the output image from AND and OR operations will estimate the motion region in a different time frame.
{"title":"A motion region estimation technique for Web camera application","authors":"S. Y. Koay, A. Ramli, Y. P. Lew, V. Prakash, R. Ali","doi":"10.1109/SCORED.2002.1033130","DOIUrl":"https://doi.org/10.1109/SCORED.2002.1033130","url":null,"abstract":"This paper presents the steps involved in processing the output image obtained from image subtraction. A Web camera or Web cam is used as a video clip capture device and MATLAB version 6.01 with Image Processing Toolbox is used as the analysis software. Image frames extracted from the video clips undergo image subtraction for motion detection purposes. The continuous steps presented in this paper are thresholding, noise removal and motion region estimation. Thresholding determines the areas of output images (from subtraction) consisting of pixels with values lying within the threshold value range. Threshold value also indicates the sensitivity of motion to detection. The image still contains a small amount of noise after thresholding. Noise is removed using a median filtering method. Motion region estimation is done by executing an AND or OR operation on two subtracted images from three successive frames. Both the output image from AND and OR operations will estimate the motion region in a different time frame.","PeriodicalId":6865,"journal":{"name":"2016 IEEE Student Conference on Research and Development (SCOReD)","volume":"28 1","pages":"352-355"},"PeriodicalIF":0.0,"publicationDate":"2002-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83664377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-11-07DOI: 10.1109/SCORED.2002.1033131
Q. Salih, A. Ramly
In this paper, we present an application of the bicubic filter for interpolation of medical images. Our method is based multi-scale medical image interpolation for zooming images. Magnetic resonance "MR" scans diffusion imaging of the brain. Images based on these parameters show potential for use in the differentiation of gray and white matter, edema, and tumor. A bicubic filter was implemented to recognize the tumor in digital images of the brain. This paper describes the basic achievement in the detection of tumors in medical images. The basic concept is that local textures in the images can reveal the typical regularities of the biological structures. The analysis of the level of correction has permitted us to decrease the number of the features to only the significant components. The level of recognition is among three possible types of image area: tumor non-tumor and background. The essential characteristics of the bicubic such as high resolution and accuracy, are exploited to distinguish between the three features. In fact, the concept of distinguishing normal and tumor tissue with MR imaging goes back to the contrast agents, who described substantial differences between normal and cancerous tissue. In gray scale images the determination of the tumor margin based on contrast margin in MRI images makes an unclear view for normal brain tissue and tumor tissue. Multi-scale images are required for obtaining the detection accuracy of the MRI view.
{"title":"Multi-scale zooming of medical image using bicubic filter","authors":"Q. Salih, A. Ramly","doi":"10.1109/SCORED.2002.1033131","DOIUrl":"https://doi.org/10.1109/SCORED.2002.1033131","url":null,"abstract":"In this paper, we present an application of the bicubic filter for interpolation of medical images. Our method is based multi-scale medical image interpolation for zooming images. Magnetic resonance \"MR\" scans diffusion imaging of the brain. Images based on these parameters show potential for use in the differentiation of gray and white matter, edema, and tumor. A bicubic filter was implemented to recognize the tumor in digital images of the brain. This paper describes the basic achievement in the detection of tumors in medical images. The basic concept is that local textures in the images can reveal the typical regularities of the biological structures. The analysis of the level of correction has permitted us to decrease the number of the features to only the significant components. The level of recognition is among three possible types of image area: tumor non-tumor and background. The essential characteristics of the bicubic such as high resolution and accuracy, are exploited to distinguish between the three features. In fact, the concept of distinguishing normal and tumor tissue with MR imaging goes back to the contrast agents, who described substantial differences between normal and cancerous tissue. In gray scale images the determination of the tumor margin based on contrast margin in MRI images makes an unclear view for normal brain tissue and tumor tissue. Multi-scale images are required for obtaining the detection accuracy of the MRI view.","PeriodicalId":6865,"journal":{"name":"2016 IEEE Student Conference on Research and Development (SCOReD)","volume":"61 1","pages":"356-359"},"PeriodicalIF":0.0,"publicationDate":"2002-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86288778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-11-07DOI: 10.1109/SCORED.2002.1033162
S. Nor, M. Yusof
This technical paper presents aspects of Web-based applications using JavaScript (JScript) and Visual Basic Scripting Edition (VBScript). By integrating JScript and VBScript into HTML pages, it can make elements of the Web page respond to user action. This paper focused on developing a Web site about loans, specifically national car loans through an intranet or the Internet using any Web browser. The function of this system is to assist users in evaluate their bank loan. This will serve as guidance for users before they apply directly to any bank in Malaysia. This system will directly reduce the cost and time that a user needs to obtain information from each dealer.
{"title":"Loan assessment through Internet","authors":"S. Nor, M. Yusof","doi":"10.1109/SCORED.2002.1033162","DOIUrl":"https://doi.org/10.1109/SCORED.2002.1033162","url":null,"abstract":"This technical paper presents aspects of Web-based applications using JavaScript (JScript) and Visual Basic Scripting Edition (VBScript). By integrating JScript and VBScript into HTML pages, it can make elements of the Web page respond to user action. This paper focused on developing a Web site about loans, specifically national car loans through an intranet or the Internet using any Web browser. The function of this system is to assist users in evaluate their bank loan. This will serve as guidance for users before they apply directly to any bank in Malaysia. This system will directly reduce the cost and time that a user needs to obtain information from each dealer.","PeriodicalId":6865,"journal":{"name":"2016 IEEE Student Conference on Research and Development (SCOReD)","volume":"27 1","pages":"480-483"},"PeriodicalIF":0.0,"publicationDate":"2002-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85703674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-11-07DOI: 10.1109/SCORED.2002.1033109
F.B. Lazim, N. Hamzah, P.M. Arsad
This paper presents the computer architecture development using Artificial Neural Network (ANN) as an approach for predicting fault in a large interconnected transmission system. Transmission line faults can be classified using the bus voltage and line fault current. Monitoring the performance of these two factors are very useful for power system protection devices. The ANN is designed to be incorporated with a matrix based software tool MATLAB Version 6.0, which deals with fault diagnosis in power system. In MATLAB software modules, the balanced and unbalanced fault can be simulated. The data generated from this software are to be used as training and testing sets in the Neural Ware Simulator.
本文介绍了利用人工神经网络(ANN)作为大型互联输电系统故障预测方法的计算机体系结构开发。传输线故障可以根据母线电压和线路故障电流进行分类。监测这两个因素的性能对电力系统保护装置非常有用。该神经网络设计与基于矩阵的MATLAB 6.0软件工具相结合，用于电力系统的故障诊断。在MATLAB软件模块中，可以对平衡故障和不平衡故障进行仿真。该软件生成的数据将用作Neural Ware Simulator的训练和测试集。
{"title":"Application of ANN to power system fault analysis","authors":"F.B. Lazim, N. Hamzah, P.M. Arsad","doi":"10.1109/SCORED.2002.1033109","DOIUrl":"https://doi.org/10.1109/SCORED.2002.1033109","url":null,"abstract":"This paper presents the computer architecture development using Artificial Neural Network (ANN) as an approach for predicting fault in a large interconnected transmission system. Transmission line faults can be classified using the bus voltage and line fault current. Monitoring the performance of these two factors are very useful for power system protection devices. The ANN is designed to be incorporated with a matrix based software tool MATLAB Version 6.0, which deals with fault diagnosis in power system. In MATLAB software modules, the balanced and unbalanced fault can be simulated. The data generated from this software are to be used as training and testing sets in the Neural Ware Simulator.","PeriodicalId":6865,"journal":{"name":"2016 IEEE Student Conference on Research and Development (SCOReD)","volume":"280 1","pages":"269-273"},"PeriodicalIF":0.0,"publicationDate":"2002-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73391739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-11-07DOI: 10.1109/SCORED.2002.1033081
L. Khuan, N. Hamzah, R. Jailani
This paper investigates the effectiveness of artificial neural network models for predicting the water quality index for rivers in Malaysia. The network was trained with reference to seven major parameters for the determination of the water pollutant index, water quality index and water quality class, for Malaysian rivers in Pahang and Selangor. The data collected comprises of data for the previous three years, beginning from 1999. The water quality index plays an important role in evaluating the water quality of rivers. The artificial neural network simplifies and speeds up the computation of the water quality index, as compared to the currently existing method. By optimizing the calculation, a significant saving in terms of money and time can be achieved. Artificial neural network models with different learning approaches, such as back propagation neural network, modular neural network and radial basis function network, are considered and adopted to model the water quality index.
{"title":"Prediction of water quality index (WQI) based on artificial neural network (ANN)","authors":"L. Khuan, N. Hamzah, R. Jailani","doi":"10.1109/SCORED.2002.1033081","DOIUrl":"https://doi.org/10.1109/SCORED.2002.1033081","url":null,"abstract":"This paper investigates the effectiveness of artificial neural network models for predicting the water quality index for rivers in Malaysia. The network was trained with reference to seven major parameters for the determination of the water pollutant index, water quality index and water quality class, for Malaysian rivers in Pahang and Selangor. The data collected comprises of data for the previous three years, beginning from 1999. The water quality index plays an important role in evaluating the water quality of rivers. The artificial neural network simplifies and speeds up the computation of the water quality index, as compared to the currently existing method. By optimizing the calculation, a significant saving in terms of money and time can be achieved. Artificial neural network models with different learning approaches, such as back propagation neural network, modular neural network and radial basis function network, are considered and adopted to model the water quality index.","PeriodicalId":6865,"journal":{"name":"2016 IEEE Student Conference on Research and Development (SCOReD)","volume":"50 1","pages":"157-161"},"PeriodicalIF":0.0,"publicationDate":"2002-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74829348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-11-07DOI: 10.1109/SCORED.2002.1033088
Muhammad Murtadha Othman, A. Mohamed, A. Hussein
In the deregulated power system, it is important to accurately and rapidly quantify the available transfer capability (ATC) of the transmission system. This paper presents a case study of the ATC assessment on the Malaysian power system. The ATC is evaluated using both the proposed quadratic sensitivity method and the AC power flow method. The ATC are evaluated by considering both the point-to-point transfer and the area-to-area transfer. Initially, contingency screening and ranking techniques are used to define the critical lines in the system and these lines are considered in the ATC assessment. Numerous simulations have been carried out to calculate the ATCs by considering voltage and line security limits as well as voltage stability limits. Simulation results are analyzed with regard to the effectiveness and accuracy of the proposed quadratic sensitivity and the AC power flow methods.
{"title":"Available transfer capability assessment of the Malaysian power system","authors":"Muhammad Murtadha Othman, A. Mohamed, A. Hussein","doi":"10.1109/SCORED.2002.1033088","DOIUrl":"https://doi.org/10.1109/SCORED.2002.1033088","url":null,"abstract":"In the deregulated power system, it is important to accurately and rapidly quantify the available transfer capability (ATC) of the transmission system. This paper presents a case study of the ATC assessment on the Malaysian power system. The ATC is evaluated using both the proposed quadratic sensitivity method and the AC power flow method. The ATC are evaluated by considering both the point-to-point transfer and the area-to-area transfer. Initially, contingency screening and ranking techniques are used to define the critical lines in the system and these lines are considered in the ATC assessment. Numerous simulations have been carried out to calculate the ATCs by considering voltage and line security limits as well as voltage stability limits. Simulation results are analyzed with regard to the effectiveness and accuracy of the proposed quadratic sensitivity and the AC power flow methods.","PeriodicalId":6865,"journal":{"name":"2016 IEEE Student Conference on Research and Development (SCOReD)","volume":"326 1","pages":"184-187"},"PeriodicalIF":0.0,"publicationDate":"2002-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74974631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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