Pub Date : 2009-12-18DOI: 10.1109/ISIEA.2009.5356439
Michael McCarty, T. Taufik, Andre Pratama, M. Anwari
Series Loaded Resonant (SLR) converter is a well known topology typically used in kilowatt-range power supplies. The topology may operate in either continuous or discontinuous conduction modes whose switching properties are covered in many power electronic text books. However, information related to the actual converter's efficiency for each conduction mode is lacking and thus will be addressed in this paper. The development of a lab scale SLR converter will be described along with results of computer simulation. Efficiency performance from hardware results for each conduction mode when output power and switching frequency are varied will also be discussed.
{"title":"Efficiency performance analysis of Series Loaded Resonant converter","authors":"Michael McCarty, T. Taufik, Andre Pratama, M. Anwari","doi":"10.1109/ISIEA.2009.5356439","DOIUrl":"https://doi.org/10.1109/ISIEA.2009.5356439","url":null,"abstract":"Series Loaded Resonant (SLR) converter is a well known topology typically used in kilowatt-range power supplies. The topology may operate in either continuous or discontinuous conduction modes whose switching properties are covered in many power electronic text books. However, information related to the actual converter's efficiency for each conduction mode is lacking and thus will be addressed in this paper. The development of a lab scale SLR converter will be described along with results of computer simulation. Efficiency performance from hardware results for each conduction mode when output power and switching frequency are varied will also be discussed.","PeriodicalId":6447,"journal":{"name":"2009 IEEE Symposium on Industrial Electronics & Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72791660","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 : 2009-12-18DOI: 10.1109/ISIEA.2009.5356391
Hsein-Ping Kew, Hakinjon Zaynodonov, Do-Un Jeong
In the work, the results of research for the systems of basic function of Haar and Harmut are resulted. The results of modeling and the comparative analysis of possibilities of these bases are resulted also. The structure of the specialized processor of signals processing in piecewise-polynomial bases is developed and tested herein. By modeling in MATLAB environment with application standard Simulink, components possibilities of the offered algorithms and structure of the specialized processor are shown.
{"title":"Piecewise-polynomial bases and specialized processor for digital signal processing","authors":"Hsein-Ping Kew, Hakinjon Zaynodonov, Do-Un Jeong","doi":"10.1109/ISIEA.2009.5356391","DOIUrl":"https://doi.org/10.1109/ISIEA.2009.5356391","url":null,"abstract":"In the work, the results of research for the systems of basic function of Haar and Harmut are resulted. The results of modeling and the comparative analysis of possibilities of these bases are resulted also. The structure of the specialized processor of signals processing in piecewise-polynomial bases is developed and tested herein. By modeling in MATLAB environment with application standard Simulink, components possibilities of the offered algorithms and structure of the specialized processor are shown.","PeriodicalId":6447,"journal":{"name":"2009 IEEE Symposium on Industrial Electronics & Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82144665","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 : 2009-12-18DOI: 10.1109/ISIEA.2009.5356496
I. Awaludin, R. Ibrahim, K. S. Rama Rao
This study investigates prediction of oil consumption in Malaysia. Models of oil consumption are developed and validated with respect to training and validation dataset. Available data for Malaysia is annual data from 1982 to 2006 comprises Population, GDP per Capita, and Oil Consumption data. Prediction time target is year 2020 which is commonly used by several energy outlook reports. Two models are developed in this study, conventional Autoregressive Exogenous (ARX) model and Artificial Neural Network ARX (ANN ARX) model. The difference lies on how those models work to find unknown parameters based on training dataset. Conventional model uses Least Square method to calculate the unknown parameter where ANN ARX model uses weight updating strategy to find the unknown parameter. Performance of each model is measured through Root Mean Square Error (RMSE) value. It is shown that ANN ARX model can perform better than conventional ARX especially with small number of training dataset.
{"title":"Conventional ARX and Artificial Neural networks ARX models for prediction of oil consumption in Malaysia","authors":"I. Awaludin, R. Ibrahim, K. S. Rama Rao","doi":"10.1109/ISIEA.2009.5356496","DOIUrl":"https://doi.org/10.1109/ISIEA.2009.5356496","url":null,"abstract":"This study investigates prediction of oil consumption in Malaysia. Models of oil consumption are developed and validated with respect to training and validation dataset. Available data for Malaysia is annual data from 1982 to 2006 comprises Population, GDP per Capita, and Oil Consumption data. Prediction time target is year 2020 which is commonly used by several energy outlook reports. Two models are developed in this study, conventional Autoregressive Exogenous (ARX) model and Artificial Neural Network ARX (ANN ARX) model. The difference lies on how those models work to find unknown parameters based on training dataset. Conventional model uses Least Square method to calculate the unknown parameter where ANN ARX model uses weight updating strategy to find the unknown parameter. Performance of each model is measured through Root Mean Square Error (RMSE) value. It is shown that ANN ARX model can perform better than conventional ARX especially with small number of training dataset.","PeriodicalId":6447,"journal":{"name":"2009 IEEE Symposium on Industrial Electronics & Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87740260","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 : 2009-12-18DOI: 10.1109/ISIEA.2009.5356498
N. Dahlan, N. Kasuan, A. S. Ahmad
Electrical power system lines sometimes pass along the coastal regions and transverse through the industrial areas of the Peninsular Malaysia. The phenomenon of salt blown from the sea to the land at the coastal area was causing salt deposition to the transformer bushing which contaminating the bushing surfaces and produced leakage current. Hence, it triggering to insulator flashover and finally the hot power arc will damage the bushing. This paper estimates leakage current level by modeling it as a function of various meteorological parameters using Hybrid Multilayered Perceptron Networks (HMLP) with Modified Recursive Prediction Error (MRPE) learning algorithms. The results are also compared with the regression analysis done previously. Meteorological parameters and leakage current data are based on the real measured data collected at YTL Paka Power Station in Terengganu.
{"title":"Modelling of various meteorological effects on leakage current level for suspension type of high voltage insulators using HMLP neural network","authors":"N. Dahlan, N. Kasuan, A. S. Ahmad","doi":"10.1109/ISIEA.2009.5356498","DOIUrl":"https://doi.org/10.1109/ISIEA.2009.5356498","url":null,"abstract":"Electrical power system lines sometimes pass along the coastal regions and transverse through the industrial areas of the Peninsular Malaysia. The phenomenon of salt blown from the sea to the land at the coastal area was causing salt deposition to the transformer bushing which contaminating the bushing surfaces and produced leakage current. Hence, it triggering to insulator flashover and finally the hot power arc will damage the bushing. This paper estimates leakage current level by modeling it as a function of various meteorological parameters using Hybrid Multilayered Perceptron Networks (HMLP) with Modified Recursive Prediction Error (MRPE) learning algorithms. The results are also compared with the regression analysis done previously. Meteorological parameters and leakage current data are based on the real measured data collected at YTL Paka Power Station in Terengganu.","PeriodicalId":6447,"journal":{"name":"2009 IEEE Symposium on Industrial Electronics & Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86116930","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 : 2009-12-18DOI: 10.1109/ISIEA.2009.5356357
S. K. Paul, N. Pandey, A. Bhattacharyya
This paper presents a transadmittance mode universal filter with two inputs and four outputs using three multiple output current controlled conveyors (MO-CCCII) and two grounded capacitors. It can realize low pass, high pass, band pass, notch and all pass responses at high output impedance. The filter enjoys low sensitivity performance and low component spread; and exhibits electronic and orthogonal tunability of filter parameters via bias currents of MO-CCCII. SPICE simulation results confirm the workability of the proposed structure.
{"title":"Current controlled conveyor based transadmittance mode universal filter","authors":"S. K. Paul, N. Pandey, A. Bhattacharyya","doi":"10.1109/ISIEA.2009.5356357","DOIUrl":"https://doi.org/10.1109/ISIEA.2009.5356357","url":null,"abstract":"This paper presents a transadmittance mode universal filter with two inputs and four outputs using three multiple output current controlled conveyors (MO-CCCII) and two grounded capacitors. It can realize low pass, high pass, band pass, notch and all pass responses at high output impedance. The filter enjoys low sensitivity performance and low component spread; and exhibits electronic and orthogonal tunability of filter parameters via bias currents of MO-CCCII. SPICE simulation results confirm the workability of the proposed structure.","PeriodicalId":6447,"journal":{"name":"2009 IEEE Symposium on Industrial Electronics & Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83959368","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}
The increasing complexity of chip design has posed great challenge for low power SoC test. Test vector reordering technique can lower circuit power dissipation. This paper proposes a new approach to low power SoC test based on ant colony optimization to find the optimal orders for test vector application. Experimental results on benchmark ITC'02 demonstrate the average improvement of 12.3% over the existing methods.
{"title":"Using ant colony optimization for test vector reordering","authors":"Jianhua Wang, Jingbo Shao, Yingmei Li, Yuyan Huang","doi":"10.1109/ISIEA.2009.5356501","DOIUrl":"https://doi.org/10.1109/ISIEA.2009.5356501","url":null,"abstract":"The increasing complexity of chip design has posed great challenge for low power SoC test. Test vector reordering technique can lower circuit power dissipation. This paper proposes a new approach to low power SoC test based on ant colony optimization to find the optimal orders for test vector application. Experimental results on benchmark ITC'02 demonstrate the average improvement of 12.3% over the existing methods.","PeriodicalId":6447,"journal":{"name":"2009 IEEE Symposium on Industrial Electronics & Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82743288","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 : 2009-12-18DOI: 10.1109/ISIEA.2009.5356308
Mohit Kumar, Akashdeep Sharma, Sushil Garg
Aspect oriented programming is a new paradigm it builds on the bases on object oriented approach. It aims at reduction of code and to provide higher cohesion. Testing aspect oriented programs may be more difficult than traditional ones, due to the large impact that aspects have on the static structure and dynamic behavior of the overall system. Aspects may be sources for failures due to new kinds of faults in their code, by affecting the overall quality of the system. New testing approaches and criteria, taking into account the aspect-oriented constructs, are needed to capture the new kind of program failures. In this paper we analyze the testing strategies of AOP. Four testing strategies have been examined and their effectiveness is measured in terms of their ability to find different kind of faults as described in a fault model [1]. Based on this analysis, conclusions have been drawn about the current state of the research in the testing of aspect oriented programs and future directions have been explored.
{"title":"A study of aspect oriented testing techniques","authors":"Mohit Kumar, Akashdeep Sharma, Sushil Garg","doi":"10.1109/ISIEA.2009.5356308","DOIUrl":"https://doi.org/10.1109/ISIEA.2009.5356308","url":null,"abstract":"Aspect oriented programming is a new paradigm it builds on the bases on object oriented approach. It aims at reduction of code and to provide higher cohesion. Testing aspect oriented programs may be more difficult than traditional ones, due to the large impact that aspects have on the static structure and dynamic behavior of the overall system. Aspects may be sources for failures due to new kinds of faults in their code, by affecting the overall quality of the system. New testing approaches and criteria, taking into account the aspect-oriented constructs, are needed to capture the new kind of program failures. In this paper we analyze the testing strategies of AOP. Four testing strategies have been examined and their effectiveness is measured in terms of their ability to find different kind of faults as described in a fault model [1]. Based on this analysis, conclusions have been drawn about the current state of the research in the testing of aspect oriented programs and future directions have been explored.","PeriodicalId":6447,"journal":{"name":"2009 IEEE Symposium on Industrial Electronics & Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82898096","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 : 2009-12-18DOI: 10.1109/ISIEA.2009.5356484
A. Hani, N. Eltegani, S. Hussein, A. Jamil, Priya Gill
Measuring changes in ulcer during treatment can indicate the effectiveness of a treatment regime. Identifying appropriate treatment regime will reduce healing time. Current methods for measuring wound size are subjective and require manual contact with the wound. With the availability of techniques which can provide accurate depth measurement and surface profile, computer programs that can construct solids out of the wounds and quantitatively compute volume are indispensable. The development of volume estimation algorithms from 3D skin surface images to monitor wounds progress throughout treatment is discussed. The performance of midpoint projection and convex hull approximation (Delaunay tetrahedralization) methods, for solid reconstruction and volume computation, is detailed. Results of calculating wound models volume indicate that convex hull reconstruction preceded by surface division outperforms midpoint projection in case of regular boundary models. The error ranged from (0–2.8%) for convex hull reconstruction, while midpoint projection error range was from (0–6.5%).
{"title":"Quantitative assessment of ulcers volume using 3D surface imaging","authors":"A. Hani, N. Eltegani, S. Hussein, A. Jamil, Priya Gill","doi":"10.1109/ISIEA.2009.5356484","DOIUrl":"https://doi.org/10.1109/ISIEA.2009.5356484","url":null,"abstract":"Measuring changes in ulcer during treatment can indicate the effectiveness of a treatment regime. Identifying appropriate treatment regime will reduce healing time. Current methods for measuring wound size are subjective and require manual contact with the wound. With the availability of techniques which can provide accurate depth measurement and surface profile, computer programs that can construct solids out of the wounds and quantitatively compute volume are indispensable. The development of volume estimation algorithms from 3D skin surface images to monitor wounds progress throughout treatment is discussed. The performance of midpoint projection and convex hull approximation (Delaunay tetrahedralization) methods, for solid reconstruction and volume computation, is detailed. Results of calculating wound models volume indicate that convex hull reconstruction preceded by surface division outperforms midpoint projection in case of regular boundary models. The error ranged from (0–2.8%) for convex hull reconstruction, while midpoint projection error range was from (0–6.5%).","PeriodicalId":6447,"journal":{"name":"2009 IEEE Symposium on Industrial Electronics & Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80682907","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 : 2009-12-18DOI: 10.1109/ISIEA.2009.5356424
H. Ghassemian
Remote sensing systems observe pixels in different portions of electromagnetic spectrum. These systems are designed within many competing constraints, among the most important being the trade off between the spatial resolution and the spectral resolution. To collect more photons and maintain image SNR, the multispectral sensors have a larger pixel compared to panchromatic sensors. With appropriate algorithms it is possible to combine these data and produce imagery with the best characteristics of both, namely high spatial and high spectral resolution. This process is known as a kind of data fusion. Some widely performed in the remote sensing community are HSI (hue-saturation and intensity) technique, PCA (principal component analyses) technique, and the Brovey transform technique. Recently, the Wavelet transform has been used for merging multi-resolution images. Normally, the objective of these procedures is to create a composite image of enhanced interpretability, but, those methods can distort the spectral characteristics of the multispectral images. This paper presents a multi-resolution data fusion scheme, based on visual channels image decomposition. This paper introduces a general issue of Retina-Inspired image analysis model, and application of the model in multispectral image fusion. A qualitative and quantitative comparison used to evaluate the spectral and spatial features performance of the proposed method with the others. Visual and statistical analyses show that the proposed algorithm significantly improves the fusion quality; compared to fusion methods including, IHS, PCA, Brovey, and discrete Wavelet transform (DWT). In this method, there is no need to resample images, which is an advantage over the other methods, it can perform in any aspect ratio between the panchromatic and MSS pixels.
{"title":"Multi-sensor remote sensing image fusion based on Retina-Inspired model","authors":"H. Ghassemian","doi":"10.1109/ISIEA.2009.5356424","DOIUrl":"https://doi.org/10.1109/ISIEA.2009.5356424","url":null,"abstract":"Remote sensing systems observe pixels in different portions of electromagnetic spectrum. These systems are designed within many competing constraints, among the most important being the trade off between the spatial resolution and the spectral resolution. To collect more photons and maintain image SNR, the multispectral sensors have a larger pixel compared to panchromatic sensors. With appropriate algorithms it is possible to combine these data and produce imagery with the best characteristics of both, namely high spatial and high spectral resolution. This process is known as a kind of data fusion. Some widely performed in the remote sensing community are HSI (hue-saturation and intensity) technique, PCA (principal component analyses) technique, and the Brovey transform technique. Recently, the Wavelet transform has been used for merging multi-resolution images. Normally, the objective of these procedures is to create a composite image of enhanced interpretability, but, those methods can distort the spectral characteristics of the multispectral images. This paper presents a multi-resolution data fusion scheme, based on visual channels image decomposition. This paper introduces a general issue of Retina-Inspired image analysis model, and application of the model in multispectral image fusion. A qualitative and quantitative comparison used to evaluate the spectral and spatial features performance of the proposed method with the others. Visual and statistical analyses show that the proposed algorithm significantly improves the fusion quality; compared to fusion methods including, IHS, PCA, Brovey, and discrete Wavelet transform (DWT). In this method, there is no need to resample images, which is an advantage over the other methods, it can perform in any aspect ratio between the panchromatic and MSS pixels.","PeriodicalId":6447,"journal":{"name":"2009 IEEE Symposium on Industrial Electronics & Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84765080","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 : 2009-12-18DOI: 10.1109/ISIEA.2009.5356309
A. Mohan, N. Sudha
This paper describes a new eigenface based face detection using boosted eigen features. Eigenfaces have long been used for face detection and recognition. The basic detection and recogniton system works by projecting the face images onto a feature space that spans significant variations among the training set. But the distance from the face space is not a reliable measure to classify faces from non-faces as some of the non-faces may also lie close to the face space. We propose to build a better classifier by boosting a set of weak classifiers built from the projections onto the eigen vectors of the face space. The proposed system provides significantly better performance compared to the distance measure. Also, we propose to improve the speed of detection in real images using FFT.
{"title":"Fast face detection using boosted eigenfaces","authors":"A. Mohan, N. Sudha","doi":"10.1109/ISIEA.2009.5356309","DOIUrl":"https://doi.org/10.1109/ISIEA.2009.5356309","url":null,"abstract":"This paper describes a new eigenface based face detection using boosted eigen features. Eigenfaces have long been used for face detection and recognition. The basic detection and recogniton system works by projecting the face images onto a feature space that spans significant variations among the training set. But the distance from the face space is not a reliable measure to classify faces from non-faces as some of the non-faces may also lie close to the face space. We propose to build a better classifier by boosting a set of weak classifiers built from the projections onto the eigen vectors of the face space. The proposed system provides significantly better performance compared to the distance measure. Also, we propose to improve the speed of detection in real images using FFT.","PeriodicalId":6447,"journal":{"name":"2009 IEEE Symposium on Industrial Electronics & Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87380296","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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