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Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97最新文献

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Fuzzy rule based fusion technique to automatically detect aircraft in SAR images 基于模糊规则的融合技术在SAR图像中自动检测飞机
Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI: 10.1109/KES.1997.619420
A. Filippidis, L. Jain, N. M. Martin
{"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}
引用次数: 11
Choice of error cost function for training unobservable nodes in Bayesian networks 贝叶斯网络中不可观察节点训练误差代价函数的选择
Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI: 10.1109/KES.1997.619438
C. Kwoh, D. Gillies
{"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}
引用次数: 1
Neurosimilar computations in simulation systems with distributed intelligence 分布式智能仿真系统中的神经相似计算
Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI: 10.1109/KES.1997.619414
A. Katkov, N. Gubareny
{"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}
引用次数: 1
An automated matching technique for fingerprint identification 指纹识别的自动匹配技术
Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI: 10.1109/KES.1997.616876
D. Mital, E. Teoh
{"title":"An automated matching technique for fingerprint identification","authors":"D. Mital, E. Teoh","doi":"10.1109/KES.1997.616876","DOIUrl":"https://doi.org/10.1109/KES.1997.616876","url":null,"abstract":"The purpose of this paper is to demonstrate how a structural matching approach can be used to perform effective rotational invariant fingerprint identification. In this approach, each of the extracted features is correlated with five of its nearest neighbouring features to form a local feature group for a first-stage matching. After that, the feature with the highest match is used as a central feature whereby all the other features are correlated to form a global feature group for a second-stage matching. The correlation between the features is in terms of distance and relative angle. This approach actually makes the matching method rotational invariant. A substantial amount of testing was carried out and it shows that this matching technique is capable of matching the four basic fingerprint patterns with an average matching time of 4 seconds on a 66 Mhz, 486 DX personal computer.","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"312 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":"132470294","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}
引用次数: 21
High speed intelligent machine through programmable hardware: application to genomic systems 通过可编程硬件的高速智能机器:在基因组系统中的应用
Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI: 10.1109/KES.1997.619446
E. Lemoine, L. Maillet-Contoz, D. Merceron, J. Sallantin
{"title":"High speed intelligent machine through programmable hardware: application to genomic systems","authors":"E. Lemoine, L. Maillet-Contoz, D. Merceron, J. Sallantin","doi":"10.1109/KES.1997.619446","DOIUrl":"https://doi.org/10.1109/KES.1997.619446","url":null,"abstract":"The paper proposes a new technology for intelligent machines based on the concept of programmable hardware. To build an intelligent system, the designer has to adapt it to the problem. First we show that programmable hardware is an intermediate step for building configurations, in order to choose the best architecture. In this case, the tasks are performed in a time period that respects human cognitive capacities. Next is detailed a multi level model composed of the cognitive, software and hardware levels. An experimental platform has been built, based on programmable hardware, and used in a \"Grand Challenge\" problem: knowledge discovery in genetic sequence databases, to compare the relative efficiencies of programmable hardware and classical Von Neumann based architecture. Programmable hardware is shown to have a significantly faster response time, which is essential for modern day intelligent machine user interaction.","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":"133941337","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}
引用次数: 0
Time series modelling and forecasting using genetic algorithms 使用遗传算法的时间序列建模和预测
Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI: 10.1109/KES.1997.616918
C. Chai, Chua Hong Chuek, D. Mital, T. T. Huat
{"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}
引用次数: 9
Industrial robotic systems with fuzzy logic controller and neural network 基于模糊逻辑控制器和神经网络的工业机器人系统
Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI: 10.1109/KES.1997.619443
Sang-Bae Lee
{"title":"Industrial robotic systems with fuzzy logic controller and neural network","authors":"Sang-Bae Lee","doi":"10.1109/KES.1997.619443","DOIUrl":"https://doi.org/10.1109/KES.1997.619443","url":null,"abstract":"Generally, when we control the robot, we should calculate exact inverse kinematics. However, inverse kinematics calculation is complex and it takes much time for the manipulator to control in real time. Therefore, the calculation of inverse kinematics can result in a significant control delay in real time. We present a method in which inverse kinematics can be calculated through fuzzy logic mapping, based on an exact solution through fuzzy reasoning instead of inverse kinematics calculation. Also, the result provides sufficient precision and transient tracking error can be controlled based on a fuzzy adaptive scheme. We also demonstrate that neural networks can be used effectively for the control of a nonlinear dynamic system with uncertain or unknown dynamics models and applied to the control robot. The advantage of using the neural approach over the conventional inverse kinematics algorithms is that neural networks can avoid time consuming calculations. We represent a good control efficiency through simulation of a 2-DOF manipulator by fuzzy logic controller, and demonstrate the effectiveness of the proposed learning scheme using feedforward neural networks, too.","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"17 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":"123700847","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}
引用次数: 3
Fuzzy auto-regressive model and its applications 模糊自回归模型及其应用
Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI: 10.1109/KES.1997.616865
K. Ozawa, Takumi Watanabe, Masayasu Kanke
{"title":"Fuzzy auto-regressive model and its applications","authors":"K. Ozawa, Takumi Watanabe, Masayasu Kanke","doi":"10.1109/KES.1997.616865","DOIUrl":"https://doi.org/10.1109/KES.1997.616865","url":null,"abstract":"The authors propose the fuzzy auto-regressive (AR) model and its applications. The identification and the estimation of the model and the model parameters are optimized by linear programming. The performance of the proposed model has already been tested by random data. They first propose an improved fuzzy AR model. The point of difference of the previous method is the objective function of the optimization. This method is applied to forecasting data of the living expenditure of a worker's household in Japan, and price index fuzzy time series. To use the fuzzy AR model, one can describe the behavior of fuzzy time series which cannot be described by the stochastic model.","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"71 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":"124688165","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}
引用次数: 4
Fuzzy logic based reinforcement learning of admittance control for automated robotic manufacturing 基于模糊逻辑的自动化机器人导纳控制强化学习
Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI: 10.1109/KES.1997.619426
S. Prabhu, D. Garg
{"title":"Fuzzy logic based reinforcement learning of admittance control for automated robotic manufacturing","authors":"S. Prabhu, D. Garg","doi":"10.1109/KES.1997.619426","DOIUrl":"https://doi.org/10.1109/KES.1997.619426","url":null,"abstract":"An approach to admittance control using fuzzy logic based reinforcement learning is proposed for the robotic automation of typical manufacturing operations. Use of fuzzy logic enables the knowledge of the manufacturing process operator to be incorporated into the controller design, which is then further refined using reinforcement learning techniques. Automated robotic deburring offers an attractive alternative to manual deburring in terms of reduced costs and improved quality of the finished parts, and hence it is used as an example of a typical manufacturing task. Simulation results are presented which demonstrate the effectiveness of the proposed controller in controlling the automated robotic deburring task.","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":"121896441","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}
引用次数: 11
A neuro-sliding control approach for a class of nonlinear systems 一类非线性系统的神经滑动控制方法
Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI: 10.1109/KES.1997.619406
Hongliu Du, S. Nair
{"title":"A neuro-sliding control approach for a class of nonlinear systems","authors":"Hongliu Du, S. Nair","doi":"10.1109/KES.1997.619406","DOIUrl":"https://doi.org/10.1109/KES.1997.619406","url":null,"abstract":"This paper proposes a learning method for the compensation of uncertainties, for a class of nonlinear systems. A sliding model control strategy is used for the robust control design after a prior stable learning phase. Gaussian networks are used to identify the uncertainties during this learning phase. Learning and control bounds are guaranteed by properly constructing the training structure. The proposed technique has been validated using a hardware example case of an electromechanical system. Experiments have shown that the inclusion of the proposed learning technique in the robust control design results in improved system performance.","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"26 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":"117094973","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}
引用次数: 6
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