{"title":"A multimedia interactive environment: a front-end module for modeling and simulation","authors":"J. Y. Ang, Hee King Jim","doi":"10.1109/KES.1997.616919","DOIUrl":"https://doi.org/10.1109/KES.1997.616919","url":null,"abstract":"In this paper, the \"Multimedia Interactive Environment (MIE)\" under development at Gintic is described. This environment introduces the user to simulation concepts, provides guidance during problem formulation, helps in model building and finally assists in analysing the results.","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124899742","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}
Z. Nakao, M. Noborikawa, Yenwei Chen, Yasuyuki Kina
{"title":"CT image reconstruction by the Boltzmann machine","authors":"Z. Nakao, M. Noborikawa, Yenwei Chen, Yasuyuki Kina","doi":"10.1109/KES.1997.619405","DOIUrl":"https://doi.org/10.1109/KES.1997.619405","url":null,"abstract":"The Boltzmann machine model is used in CT image reconstruction from four projections. The system is based on Boltzmann simulated annealing for adaptation of pixel values. As the temperature is decreased, the gray level of images is increased exponentially to 256. Satisfactory agreement between the original and reconstructed images was obtained in simulation, and the results obtained are compared to those obtained by the well-known algebraic reconstruction technique (ART), and it was found that the neural network method is more effective than ART when the number of projection directions is very limited.","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124039590","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}
{"title":"A multi-agent architecture for situation awareness","authors":"T. Nguyen","doi":"10.1109/KES.1997.619429","DOIUrl":"https://doi.org/10.1109/KES.1997.619429","url":null,"abstract":"The paper describes an architecture of a system for assisting an aircraft crew in enhancing its situation awareness by creating a complete surveillance picture of the environment in real time. The architecture is based on the framework of the multi agent technology where tasks are solved cooperatively among heterogeneous intelligent agents; each performs one defined function. This architecture offers a number of advantages such as synergy, scalability, reusability, reliability.","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130710015","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}
T. M. Ha, Guido Kaufmann, Matthias Zimmermann, H. Bunke
{"title":"Handwriting recognition for a postal check reading system","authors":"T. M. Ha, Guido Kaufmann, Matthias Zimmermann, H. Bunke","doi":"10.1109/KES.1997.616852","DOIUrl":"https://doi.org/10.1109/KES.1997.616852","url":null,"abstract":"This paper discusses several aspects of automatic handwriting recognition designed for a postal check reading system. We first present the general methodology, including a new approach called perturbation method. Then we explain how the general methodology is applied to three subproblems in handwriting recognition, namely, the recognition of isolated numerals: that of numeral strings, and the recognition of cursively handwritten words drawn from a small lexicon. Experimental results performed on worldwide standard databases show that our systems are either equivalent to or better than state-of-the-art systems. A preliminary experiment of reading real Swiss checks shows that the system rejects about 50% and correctly recognises the remaining checks.","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122142100","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}
{"title":"Fuzzy rule based fusion technique to automatically detect aircraft in SAR images","authors":"A. Filippidis, L. Jain, N. M. Martin","doi":"10.1109/KES.1997.619420","DOIUrl":"https://doi.org/10.1109/KES.1997.619420","url":null,"abstract":"Fuzzy reasoning through fuzzy rule combination is used to improve the accuracy of the automatic detection of aircraft in synthetic aperture radar (SAR) images using a priori knowledge derived from colour aerial photographs. A combination of the fuzzy automatic target recognition system with neural networks is used to fuse object identity attribute data derived from a SAR and a colour aerial photo image. The images taken by the two different sensors have quite different resolutions and are taken at different times. The aim of the study is to automatically detect ground based aircraft in the SAR image with greater certainty. Using the fusion techniques the authors have correctly detected five of the six aircraft (83% accuracy rate) and reduced the number of false alarms from forty to eight when compared to the output of the background discrimination algorithm.","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"283 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123470063","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}
{"title":"Time series modelling and forecasting using genetic algorithms","authors":"C. Chai, Chua Hong Chuek, D. Mital, T. T. Huat","doi":"10.1109/KES.1997.616918","DOIUrl":"https://doi.org/10.1109/KES.1997.616918","url":null,"abstract":"In this paper, Genetic Algorithms (GAs) are utilized in the investigation, design and development for modelling a given data time series. Genetic algorithms apply operations of reproduction, crossover and mutation to candidate solutions according to their relative fitness scores in the successive populations of candidates. The computer simulation results obtained demonstrate that GAs have the potential to become a powerful tool for time series modelling and forecasting.","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116374024","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}
S. Matsushita, T. Furuhashi, H. Tsutsui, Y. Uchikawa
{"title":"Efficient fuzzy modeling and evaluation criteria","authors":"S. Matsushita, T. Furuhashi, H. Tsutsui, Y. Uchikawa","doi":"10.1109/KES.1997.616921","DOIUrl":"https://doi.org/10.1109/KES.1997.616921","url":null,"abstract":"Hierarchical fuzzy modeling using fuzzy neural networks (FNN) is one of the effective approaches for modeling of nonlinear systems. Decision of antecedent structures of fuzzy models of nonlinear systems is made possible by a combination of FNN and genetic algorithm (GA). The disadvantage of this fuzzy modeling method is that the learning of FNN is time consuming. This paper presents an efficient fuzzy modeling method using simple fuzzy inference. The results of fuzzy modeling are heavily dependent on evaluation criteria. This paper also studies effects of evaluation criteria for the decision of the antecedent structure. Numerical experiments are done.","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115493784","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}
{"title":"Choice of error cost function for training unobservable nodes in Bayesian networks","authors":"C. Kwoh, D. Gillies","doi":"10.1109/KES.1997.619438","DOIUrl":"https://doi.org/10.1109/KES.1997.619438","url":null,"abstract":"In the construction of a Bayesian network from observed data, the fundamental assumption that the variables starting from the same parent are conditionally independent can be met by introduction of hidden node (C.K. Kwoh and D.F. Gillies, 1994). We show that the conditional probability matrices for the hidden node for a triplet, linking three observed nodes, can be determined by the gradient descent method. As in all operational research problems, the quality of the result depends on the ability to locate a feasible solution for the conditional probabilities. C.K. Kwoh and D.F. Gillies (1995) presented a paper in which they detailed the methodologies for estimating the initial values of unobservable variables in Bayesian networks. We present the concept of determining the best conditional matrices as an estimation problem. The discrepancies between the observed and predicted values are mapped into a monotonic function where its gradients are used for adjusting the parameters to be estimated. We present our investigation of choosing among various popular error cost functions for training the networks with hidden nodes and determined that both cross entropy and sum of squared error cost functions work equally well for our implementation.","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116544405","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}
{"title":"Neurosimilar computations in simulation systems with distributed intelligence","authors":"A. Katkov, N. Gubareny","doi":"10.1109/KES.1997.619414","DOIUrl":"https://doi.org/10.1109/KES.1997.619414","url":null,"abstract":"A simulation system with distributed intelligence realised by means of chaotic speed-independent integrators is considered. A fixation method for transient processes in combinational logical circuits is discussed. A chaotic integration procedure is proposed and a circuit design variant is presented for a chaotic integrator. The connection between chaotic and fuzzy integration is investigated. The method of determining the time at which the transient processes end in chaotic integrators is discussed, and the results of some experimental investigations are presented. Problems connected with the hardware realisation of functional integration elements in the simulation system for solving parabolic partial differential equations are considered. The results of a computer simulation of a system with chaotic integrators for solving this problem are presented.","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129442381","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}
{"title":"A proposed model of human consciousness system with applications in pattern recognition","authors":"K. Le","doi":"10.1109/KES.1997.616883","DOIUrl":"https://doi.org/10.1109/KES.1997.616883","url":null,"abstract":"Human recognition is a complex, efficient process which, for thousands of years, people have tried to analyse but have not yet fully understood. Recently, with advances in psychology, medicine and computer engineering in some research fields such as neural networks, fuzzy set theory, genetic algorithms, etc., people have tried to simulate the human brain and received significant results in the pattern recognition field. This paper proposes a model of a human consciousness system with applications in pattern recognition. The model explains how our brain saves, extracts and retrieves data. The model can recognise patterns with noise. Furthermore, when part of the model is damaged, the model can be required and re-used. An implementation of the model and some experimental results are also presented.","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129879813","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}