{"title":"Maintenance of local fuzziness in rule interpolation","authors":"Tom Gedeon, L. Kóczy, Y. Huang, P. Wong","doi":"10.1109/INES.1997.632393","DOIUrl":"https://doi.org/10.1109/INES.1997.632393","url":null,"abstract":"Approximate reasoning using fuzzy rule based systems has a wide application in, for example, industrial control, property prediction, and in pattern recognition areas. We introduce our method which is conservative with respect to the degree of local fuzziness in the rule base, and demonstrate its utility on a petroleum engineering problem.","PeriodicalId":161975,"journal":{"name":"Proceedings of IEEE International Conference on Intelligent Engineering Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134290946","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":"Geometrical and physical cost evaluation for robot assembly sequence planning","authors":"H. Mosemann, F. Rohrdanz, F. Wahl","doi":"10.1109/INES.1997.632468","DOIUrl":"https://doi.org/10.1109/INES.1997.632468","url":null,"abstract":"Assembly planning systems generate plans for the automated assembly of mechanical products by robots. The sequences to be generated underlie several physical and geometrical constraints and in addition have to be efficient to increase productivity. This paper addresses the problem of discovery and computation of new measures for assembly cost evaluation. The evaluation criteria are based on the results of the constraint checking process of a high level assembly planning system.","PeriodicalId":161975,"journal":{"name":"Proceedings of IEEE International Conference on Intelligent Engineering Systems","volume":"46 Suppl 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131508982","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":"Commonsense knowledge-based face detection","authors":"A. Kouzani, F. He, K. Sammut","doi":"10.1109/INES.1997.632419","DOIUrl":"https://doi.org/10.1109/INES.1997.632419","url":null,"abstract":"A connectionist model is presented for commonsense knowledge representation and reasoning. The representation and reasoning ability of the model is described through examples. The commonsense knowledge base is employed to develop a human face detection system. The system consists of three stages: preprocessing, face-components extraction, and final decision-making. A neural network-based algorithm is utilised to extract face components. Five networks are trained to detect mouth, nose, eyes, and full face. The detected face components and their corresponding possibility degrees allow the knowledge base to locate faces in the image and generate a membership degree for the detected faces within the face class. The experimental results obtained using this method are presented.","PeriodicalId":161975,"journal":{"name":"Proceedings of IEEE International Conference on Intelligent Engineering Systems","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133433910","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":"CapRe: a gaze tracking system in man-machine interaction","authors":"C. Collet, A. Finkel, R. Gherbi","doi":"10.1109/INES.1997.632482","DOIUrl":"https://doi.org/10.1109/INES.1997.632482","url":null,"abstract":"We present a real-time camera-based system designed for gaze tracking focused on human-computer communication. We aim to equip computer systems with a tool which can provide visual information about the user. This tool must satisfy interaction constraints and not intrusive. Therefore, we use a CCD camera placed between the keyboard and the screen. The system detects the user presence, locates his position and then tracks his face, nose and both eyes. The detection is performed by combining image processing techniques and pattern recognition methods.","PeriodicalId":161975,"journal":{"name":"Proceedings of IEEE International Conference on Intelligent Engineering Systems","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134462541","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":"Temporal classification of patient anaesthetic states","authors":"L. Vefghi, D. Linkens","doi":"10.1109/INES.1997.632427","DOIUrl":"https://doi.org/10.1109/INES.1997.632427","url":null,"abstract":"The goal of this study is to explore the ability of temporal neural network models to classification of patient anaesthetic states. Application of standard multilayer perceptron networks to recognise the states of anaesthesia already has produced impressive results. Encouraged by these results, we attempt to address the question of how such models can be expanded to capture some critical aspects of the dynamic nature of anaesthesia. An extension of the conventional multilayered feedforward networks to have memory for past values is undertaken to address the issue.","PeriodicalId":161975,"journal":{"name":"Proceedings of IEEE International Conference on Intelligent Engineering Systems","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133724459","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":"Some applications of soft computing methods in system modelling and control","authors":"B. Lantos","doi":"10.1109/INES.1997.632463","DOIUrl":"https://doi.org/10.1109/INES.1997.632463","url":null,"abstract":"The paper deals with the application of fuzzy systems, artificial neural networks (neural systems) and genetic algorithms to solve modelling and control problems in system engineering. The first part of the paper deals with the design of classical PID and fuzzy PID-type controllers for nonlinear systems with (approximately) known dynamic model. The optimal controllers are designed based on genetic algorithms. The second part considers the neural control of a SCARA robot. The third part deals with the fuzzy control of a special class of MIMO nonlinear systems and generalizes the method of Wang (1994) for such systems.","PeriodicalId":161975,"journal":{"name":"Proceedings of IEEE International Conference on Intelligent Engineering Systems","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123981655","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":"Some possibilities for including knowledge into models of mechanical parts","authors":"L. Horváth, I. Rudas, T. Varga","doi":"10.1109/INES.1997.632473","DOIUrl":"https://doi.org/10.1109/INES.1997.632473","url":null,"abstract":"Mechanical and production engineers use sophisticated modeling systems for design and planning purposes. The model itself is result of a complex engineering work and does not describe the knowledge that may be necessary for re-evaluation and modification as well as application of the model. Therefore, iterative steps of the model development are encountered. This results in long throughput time in the innovation procedure. The authors studied this problem and have elaborated a methodology for definition, storage and transfer of knowledge which is associated with the model. This knowledge helps the engineer with handling the model and is used by modeling procedures for evaluation and modification of the model for a given application. In this paper first the importance of product modeling and characteristics of integrated and open architecture CAD/CAM systems are explained. Following this, types and features of the knowledge associated with the product model are outlined. Finally, the suitable knowledge representations and the possibilities of attaching knowledge to the model are presented.","PeriodicalId":161975,"journal":{"name":"Proceedings of IEEE International Conference on Intelligent Engineering Systems","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127321641","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":"History and recent trends in soft computing: research and application aspects in Japan","authors":"K. Hirota","doi":"10.1109/INES.1997.632390","DOIUrl":"https://doi.org/10.1109/INES.1997.632390","url":null,"abstract":"Japanese industrial research and applications in the field of soft computing that covers fuzzy logic, neurocomputing and chaos have been surveyed. In the middle of the 1980's in Japan fuzzy technology became a central issue for mainly process control and the year 1990 became a so called \"fuzzy-home electronics year.\" These technologies are mainly based on if-then rule based fuzzy inference with instrumentation (i.e., sensor and actuator) engineering. Then neural network technology merged with fuzzy technology in 1991 and again many consumer products were sent to the real market in Japan. Such neuro-fuzzy technologies are classified into nine categories. In 1993 chaos technologies were included in research and development of such high-tech issues. Very recently other technologies such as chaos, genetic algorithms and artificial life have been investigated by company engineers in Japan. These kinds of practical, technological aspects in Japan are discussed and the future trends are also indicated by giving many examples.","PeriodicalId":161975,"journal":{"name":"Proceedings of IEEE International Conference on Intelligent Engineering Systems","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126330424","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":"Integrating expert modules by local receptive neural network","authors":"P. Tam, C.H. Li","doi":"10.1109/INES.1997.632417","DOIUrl":"https://doi.org/10.1109/INES.1997.632417","url":null,"abstract":"In this paper, the task of integrating conflicting experts' opinions is achieved through a training of local receptive gating network using backpropagation. The front layers of the gating network consist of local-receptive fields which form feature maps of the input that enable modulations to experts' output. The resulting network achieves accurate modelling of the solution mapping through the efficient combination of existing experts. Experimental results on a histogram thresholding problem show the superior performance of the modular network over classical algorithms.","PeriodicalId":161975,"journal":{"name":"Proceedings of IEEE International Conference on Intelligent Engineering Systems","volume":"29 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114238367","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}
A. Várkonyi-Kóczy, Tadeusz P. Dobrowiecki, Gábor Péceli
{"title":"Measurement uncertainty: a soft computing approach","authors":"A. Várkonyi-Kóczy, Tadeusz P. Dobrowiecki, Gábor Péceli","doi":"10.1109/INES.1997.632466","DOIUrl":"https://doi.org/10.1109/INES.1997.632466","url":null,"abstract":"Measurements of any kind are characterized on one hand by their uncertainty due to modeling and measurement errors. Unfortunately for several reasons this characterization is not easy and requires further (human and/or machine based) considerations and intensive computing. As an alternative measurements are characterized also by their accuracy which can be improved also at the price of further data acquisition and computation. All these computations require time and therefore additional requirements like speed, costs, etc. may strongly limit the system designer in achieving the specified precision. Moreover the complexity of the measurement problems of current interest has considerably increased. Recent advances in time-critical computing and new modeling techniques provide promising tools to meet these requirements. Due to some of their features hereafter these techniques will be referred as \"soft\" computational methods. For a system engineer the most important knowledge is when and how to apply such new tools, what are the decisions not covered by the theory and how to characterize the final results. Based on the analysis of some measurement problems the authors discuss these questions and point out that the importance of these \"soft\" calculations is much higher than anticipated. The investigations are followed by an example demonstrating the application of fuzzy logic to a particular measurement problem.","PeriodicalId":161975,"journal":{"name":"Proceedings of IEEE International Conference on Intelligent Engineering Systems","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115871831","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}