Pub Date : 2006-06-07DOI: 10.1109/ICCIS.2006.252344
W. Wettayaprasit, P. Nanakorn
This paper presents the algorithm for feature extraction and interval filtering technique for time-series forecasting using multilayer perceptron neural networks. The algorithm has four parts. The first part is data filtering and interval process. The second part is input feature extraction process from neural networks. The third part is time-series input variables forecasting process. The fourth part is time-series rainfall forecast process. The study uses weather data from the Meteorological Department of Thailand and the United States of America. The experimental results for rainfall forecast receive high accuracy comparing with other methods
{"title":"Feature Extraction and Interval Filtering Technique for Time-series Forecasting Using Neural Networks","authors":"W. Wettayaprasit, P. Nanakorn","doi":"10.1109/ICCIS.2006.252344","DOIUrl":"https://doi.org/10.1109/ICCIS.2006.252344","url":null,"abstract":"This paper presents the algorithm for feature extraction and interval filtering technique for time-series forecasting using multilayer perceptron neural networks. The algorithm has four parts. The first part is data filtering and interval process. The second part is input feature extraction process from neural networks. The third part is time-series input variables forecasting process. The fourth part is time-series rainfall forecast process. The study uses weather data from the Meteorological Department of Thailand and the United States of America. The experimental results for rainfall forecast receive high accuracy comparing with other methods","PeriodicalId":296028,"journal":{"name":"2006 IEEE Conference on Cybernetics and Intelligent Systems","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123498694","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 : 2006-06-07DOI: 10.1109/ICCIS.2006.252321
Chunyu Bao, S. Guan
Hierarchical incremental class learning (HICL), proposed by Guan and Li in 2002, is a recently proposed task decomposition method that addresses the pattern classification problem. HICL is proven to be a good classifier but closer examination reveals areas for potential improvement. This paper presents an approach to improve the classification accuracy of HICL by applying the concept of reduced pattern training (RPT). The procedure for RPT is described and compared with the original training procedure. RPT systematically reduces the size of the training data set based on the order of sub-networks built. The results from benchmark classification problems show much promise for the improved model
{"title":"Reduced Training for Hierarchical Incremental Class Learning","authors":"Chunyu Bao, S. Guan","doi":"10.1109/ICCIS.2006.252321","DOIUrl":"https://doi.org/10.1109/ICCIS.2006.252321","url":null,"abstract":"Hierarchical incremental class learning (HICL), proposed by Guan and Li in 2002, is a recently proposed task decomposition method that addresses the pattern classification problem. HICL is proven to be a good classifier but closer examination reveals areas for potential improvement. This paper presents an approach to improve the classification accuracy of HICL by applying the concept of reduced pattern training (RPT). The procedure for RPT is described and compared with the original training procedure. RPT systematically reduces the size of the training data set based on the order of sub-networks built. The results from benchmark classification problems show much promise for the improved model","PeriodicalId":296028,"journal":{"name":"2006 IEEE Conference on Cybernetics and Intelligent Systems","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125249736","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 : 2006-06-07DOI: 10.1109/ICCIS.2006.252262
R. Ramteke, S. Mehrotra
This paper presents an experimental evaluation of the effectiveness of various techniques based upon moment invariants (Hu, 1961). The features that have been extracted are based on moments, image partition, principal component axes (PCA), correlation coefficient and perturbed moments. In image partition method, the image is divided into four parts with three different ways. The principal component axes (PCA) method has been used to balance the distribution of pixels in different regions of the image. Correlation coefficient provides dependencies of different moments on each other. In perturbed moment method, moment invariants are computed by small perturbation in image and information is extracted from the perturbation. All techniques have been applied on 2000 handwritten Devanagari numerals. The Gaussian distribution function has been adopted for classification. The success rate can be enhanced to 92% using image partition method
{"title":"Feature Extraction Based on Moment Invariants for Handwriting Recognition","authors":"R. Ramteke, S. Mehrotra","doi":"10.1109/ICCIS.2006.252262","DOIUrl":"https://doi.org/10.1109/ICCIS.2006.252262","url":null,"abstract":"This paper presents an experimental evaluation of the effectiveness of various techniques based upon moment invariants (Hu, 1961). The features that have been extracted are based on moments, image partition, principal component axes (PCA), correlation coefficient and perturbed moments. In image partition method, the image is divided into four parts with three different ways. The principal component axes (PCA) method has been used to balance the distribution of pixels in different regions of the image. Correlation coefficient provides dependencies of different moments on each other. In perturbed moment method, moment invariants are computed by small perturbation in image and information is extracted from the perturbation. All techniques have been applied on 2000 handwritten Devanagari numerals. The Gaussian distribution function has been adopted for classification. The success rate can be enhanced to 92% using image partition method","PeriodicalId":296028,"journal":{"name":"2006 IEEE Conference on Cybernetics and Intelligent Systems","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114456078","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 : 2006-06-07DOI: 10.1109/ICCIS.2006.252251
C. Cornelis, Peng Yan, Xing Zhang, Guoqing Chen
This paper is concerned with discovering positive and negative association rules, a problem which has been addressed by various authors from different angles, but for which no fully satisfactory solution has yet been proposed. We catalogue and critically examine the existing definitions and approaches, and we present an a priori-based algorithm that is able to find all valid positive and negative association rules in a support-confidence framework. Efficiency is guaranteed by exploiting an upward closure property that holds for the support of negative association rules under our definition of validity
{"title":"Mining Positive and Negative Association Rules from Large Databases","authors":"C. Cornelis, Peng Yan, Xing Zhang, Guoqing Chen","doi":"10.1109/ICCIS.2006.252251","DOIUrl":"https://doi.org/10.1109/ICCIS.2006.252251","url":null,"abstract":"This paper is concerned with discovering positive and negative association rules, a problem which has been addressed by various authors from different angles, but for which no fully satisfactory solution has yet been proposed. We catalogue and critically examine the existing definitions and approaches, and we present an a priori-based algorithm that is able to find all valid positive and negative association rules in a support-confidence framework. Efficiency is guaranteed by exploiting an upward closure property that holds for the support of negative association rules under our definition of validity","PeriodicalId":296028,"journal":{"name":"2006 IEEE Conference on Cybernetics and Intelligent Systems","volume":"518 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116244415","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 : 2006-06-07DOI: 10.1109/ICCIS.2006.252299
Hong-da Liu, Zhong-li Ma, Sheng Liu, H. Lan
This paper introduces a kind of immune genetic algorithm which regards objective function as antigen, solution as antibody and updates the population using evolutionary strategy. After economic emission load dispatch which belongs to multi-objective constrained optimization problems is discussed, main processes of immune genetic algorithm to solve this matter is given. Through tests a power system model with five coal-burning generating units, feasibility and validity of this algorithm is proved. And by comparing with genetic algorithm and Hopfield neural network, optimization and quick constringency of this algorithm to solve similar problems are proved
{"title":"A New Solution to Economic Emission Load Dispatch Using Immune Genetic Algorithm","authors":"Hong-da Liu, Zhong-li Ma, Sheng Liu, H. Lan","doi":"10.1109/ICCIS.2006.252299","DOIUrl":"https://doi.org/10.1109/ICCIS.2006.252299","url":null,"abstract":"This paper introduces a kind of immune genetic algorithm which regards objective function as antigen, solution as antibody and updates the population using evolutionary strategy. After economic emission load dispatch which belongs to multi-objective constrained optimization problems is discussed, main processes of immune genetic algorithm to solve this matter is given. Through tests a power system model with five coal-burning generating units, feasibility and validity of this algorithm is proved. And by comparing with genetic algorithm and Hopfield neural network, optimization and quick constringency of this algorithm to solve similar problems are proved","PeriodicalId":296028,"journal":{"name":"2006 IEEE Conference on Cybernetics and Intelligent Systems","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130062641","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}
In this paper, we propose an effective noise reduction method for image sequences corrupted by the Gaussian noise or impulse noise. The basic strategy is to combine the spatial just noticeable distortion (JND) with local image characteristics for spatial filtering and utilize the motion compensation for temporal filtering. For spatial filtering, an adaptive scheme composed of the harmonic mean filter, weighted arithmetic mean filter, alpha-trimmed mean filter, median filter and thresholding filter is dedicated to reducing noises on an image. Then, a motion-compensation based temporal filter is focused on refining the spatial-filtered image frame with the previous and following frames. Experimental results show that the proposed noise-reduction method is better than four previous methods with a PSNR improvement rate of 8.85% on Gaussian noise, 11.69% on fixed-value impulse noise and 11.64% on random-value impulse noise over the average of these four methods
{"title":"An Intelliegent Video Noise Reduction Method Using Adaptive Spatial and Motion-Compensation Temporal Filter","authors":"Thou-Ho Chen, Chao-Yu Chen, Tsong-Yi Chen, Ming-Kun Wu","doi":"10.1109/ICCIS.2006.252302","DOIUrl":"https://doi.org/10.1109/ICCIS.2006.252302","url":null,"abstract":"In this paper, we propose an effective noise reduction method for image sequences corrupted by the Gaussian noise or impulse noise. The basic strategy is to combine the spatial just noticeable distortion (JND) with local image characteristics for spatial filtering and utilize the motion compensation for temporal filtering. For spatial filtering, an adaptive scheme composed of the harmonic mean filter, weighted arithmetic mean filter, alpha-trimmed mean filter, median filter and thresholding filter is dedicated to reducing noises on an image. Then, a motion-compensation based temporal filter is focused on refining the spatial-filtered image frame with the previous and following frames. Experimental results show that the proposed noise-reduction method is better than four previous methods with a PSNR improvement rate of 8.85% on Gaussian noise, 11.69% on fixed-value impulse noise and 11.64% on random-value impulse noise over the average of these four methods","PeriodicalId":296028,"journal":{"name":"2006 IEEE Conference on Cybernetics and Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129240261","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 : 2006-06-07DOI: 10.1109/ICCIS.2006.252360
D. Sofge
Biological evolution provides an immensely powerful toolset for problem solving, while evolutionary computation attempts to harness the power of biological evolution for solving problems using classical computing paradigms. Quantum computing offers many apparent advantages over classical computing for certain types of problems, such as searching or optimizing over large solution sets. Once practical quantum computers are available, we would like to take advantage of their highly parallel computing capabilities for use in evolutionary computation. In this work we explore the nexus between quantum and evolutionary computation, and propose an approach toward a practical framework for performing evolutionary computation on quantum computers
{"title":"Toward a Framework for Quantum Evolutionary Computation","authors":"D. Sofge","doi":"10.1109/ICCIS.2006.252360","DOIUrl":"https://doi.org/10.1109/ICCIS.2006.252360","url":null,"abstract":"Biological evolution provides an immensely powerful toolset for problem solving, while evolutionary computation attempts to harness the power of biological evolution for solving problems using classical computing paradigms. Quantum computing offers many apparent advantages over classical computing for certain types of problems, such as searching or optimizing over large solution sets. Once practical quantum computers are available, we would like to take advantage of their highly parallel computing capabilities for use in evolutionary computation. In this work we explore the nexus between quantum and evolutionary computation, and propose an approach toward a practical framework for performing evolutionary computation on quantum computers","PeriodicalId":296028,"journal":{"name":"2006 IEEE Conference on Cybernetics and Intelligent Systems","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126839634","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 : 2006-06-07DOI: 10.1109/ICCIS.2006.252266
J. Vitayapirak, P. Ratiroch-anant
This research project reflects an increased awareness of the need to improve the flow of information on control engineering technology and the current lack of bilingualized (English-Thai-English) dictionary in this field. The central aim of this project is to develop a corpus of control engineering text. It starts with a survey of users' needs in control engineering English from 3 areas, i.e. control systems, automation and instrumentation, extracted from textbooks and journals. The corpus comprises 2,141,293 words (tokens) of running text. The linguistic data of the corpus provides insights into the sublanguage of control engineering. The corpus was then analysed by concordance program named WordSmith Tools Package to discover the frequency list of individual words, and collocations. The corpus findings in terms of word frequencies, corpus evidence on word combinations and typical usage from the concordance are used to find out the technical terms and to develop 665 entries for the bilingualized learners' dictionary of control engineering
{"title":"Computational Approach for Processing of Control Engineer Text: Applications for Corpus Lexicography","authors":"J. Vitayapirak, P. Ratiroch-anant","doi":"10.1109/ICCIS.2006.252266","DOIUrl":"https://doi.org/10.1109/ICCIS.2006.252266","url":null,"abstract":"This research project reflects an increased awareness of the need to improve the flow of information on control engineering technology and the current lack of bilingualized (English-Thai-English) dictionary in this field. The central aim of this project is to develop a corpus of control engineering text. It starts with a survey of users' needs in control engineering English from 3 areas, i.e. control systems, automation and instrumentation, extracted from textbooks and journals. The corpus comprises 2,141,293 words (tokens) of running text. The linguistic data of the corpus provides insights into the sublanguage of control engineering. The corpus was then analysed by concordance program named WordSmith Tools Package to discover the frequency list of individual words, and collocations. The corpus findings in terms of word frequencies, corpus evidence on word combinations and typical usage from the concordance are used to find out the technical terms and to develop 665 entries for the bilingualized learners' dictionary of control engineering","PeriodicalId":296028,"journal":{"name":"2006 IEEE Conference on Cybernetics and Intelligent Systems","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126215023","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 : 2006-06-07DOI: 10.1109/ICCIS.2006.252363
D. Van der Weken, V. De Witte, M. Nachtegael, S. Schulte, E. Kerre
In this paper we give an overview of the possible application of fuzzy similarity measures to colour images. First of all, we review the component-based approach for the extension of similarity measures for greyscale image to colour images. And secondly, we discuss a vector-based approach using vector morphological operators. Both approaches are compared using several experiments
{"title":"Fuzzy Similarity Measures for Colour Images","authors":"D. Van der Weken, V. De Witte, M. Nachtegael, S. Schulte, E. Kerre","doi":"10.1109/ICCIS.2006.252363","DOIUrl":"https://doi.org/10.1109/ICCIS.2006.252363","url":null,"abstract":"In this paper we give an overview of the possible application of fuzzy similarity measures to colour images. First of all, we review the component-based approach for the extension of similarity measures for greyscale image to colour images. And secondly, we discuss a vector-based approach using vector morphological operators. Both approaches are compared using several experiments","PeriodicalId":296028,"journal":{"name":"2006 IEEE Conference on Cybernetics and Intelligent Systems","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126509523","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 : 2006-06-07DOI: 10.1109/ICCIS.2006.252257
M. Miki, E. Asayama, T. Hiroyasu
In recent years, various types of equipment have become more intelligent. In this research, we propose an intelligent lighting system using visible-light communication technology for direct communication between lighting fixtures and illuminance sensors in order to provide the necessary illuminance to a desired location. We actually constructed an experiment simulator based on this concept and verified the effectiveness of the newly developed control method. Verification tests were conducted using an optimization algorithm specialized for lighting control, and the results showed that the various illuminance sensors converged to the preset target illuminance in a very short time. We also confirmed that the system can respond adaptively to the movement of illuminance sensors
{"title":"Intelligent Lighting System using Visible-Light Communication Technology","authors":"M. Miki, E. Asayama, T. Hiroyasu","doi":"10.1109/ICCIS.2006.252257","DOIUrl":"https://doi.org/10.1109/ICCIS.2006.252257","url":null,"abstract":"In recent years, various types of equipment have become more intelligent. In this research, we propose an intelligent lighting system using visible-light communication technology for direct communication between lighting fixtures and illuminance sensors in order to provide the necessary illuminance to a desired location. We actually constructed an experiment simulator based on this concept and verified the effectiveness of the newly developed control method. Verification tests were conducted using an optimization algorithm specialized for lighting control, and the results showed that the various illuminance sensors converged to the preset target illuminance in a very short time. We also confirmed that the system can respond adaptively to the movement of illuminance sensors","PeriodicalId":296028,"journal":{"name":"2006 IEEE Conference on Cybernetics and Intelligent Systems","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121030155","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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