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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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A study on evolutional shape modeling: parameter tuning 演化形状建模的研究:参数整定
Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI: 10.1109/KES.1997.616933
H. Watabe
{"title":"A study on evolutional shape modeling: parameter tuning","authors":"H. Watabe","doi":"10.1109/KES.1997.616933","DOIUrl":"https://doi.org/10.1109/KES.1997.616933","url":null,"abstract":"The technique of generating suitable shape model automatically using GA and FFD have already been developed. The technique has proposed using the control points of an FFD lattice as the chromosome representing evolved shapes. In the FFD technique, the shape of an object is deformed by altering the positions of the control points on the FFD lattice. The hybrid evolutional shape modeling system of GA and FFD has brought a fruitful result. However, since various parameters exist in GA and FFD, specification of those parameters is not easy, and the actual condition is depending on a human's intuition. Then, in this paper, in order to brush up the ability of the system, various parameters are tuned up experimentally.","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"83 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":"124619931","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
Human-robot coordination 人机协调
Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI: 10.1109/KES.1997.619451
P. Glorennec, K. Wolinski
{"title":"Human-robot coordination","authors":"P. Glorennec, K. Wolinski","doi":"10.1109/KES.1997.619451","DOIUrl":"https://doi.org/10.1109/KES.1997.619451","url":null,"abstract":"In some situations (e.g. transportation or cleaning tasks in a factory), humans, human-driven cars and autonomous robots can circulate on the same path and have to avoid each other. This is possible only if either behavior are foreseeable, using some implicit (highway code) or explicit (e.g. trafficator to indicate that one is about to turn) common rules. As human driving behavior is easily embedded into linguistic statements such as \"if condition then decision\", fuzzy logic is a natural way to build \"intelligent\" robot behavior. The paper is an approach to build a human-like navigation system for autonomous robots.","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"23 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120817730","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
Evolutionary CT image reconstruction 进化CT图像重建
Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI: 10.1109/KES.1997.619422
Z. Nakao, Midori Takashibu, Yenwei Chen
{"title":"Evolutionary CT image reconstruction","authors":"Z. Nakao, Midori Takashibu, Yenwei Chen","doi":"10.1109/KES.1997.619422","DOIUrl":"https://doi.org/10.1109/KES.1997.619422","url":null,"abstract":"An evolutionary algorithm for reconstructing CT gray images from projections is presented; the algorithm reconstructs two-dimensional unknown images from four one-dimensional projections. A Laplacian constraint term is included in the fitness function of the genetic algorithm for handling smooth images, and the evolutionary process reconstructs images into finer ones by partitioning the images gradually thereby increasing the chromosome size exponentially as the generation proceeds. Results obtained are compared to those obtained by the well-known algebraic reconstruction technique (ART), and it was found that the evolutionary 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":"1 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":"125780428","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
Design of intelligent controllers for electronic speed regulation of a diesel engine 柴油机电子调速智能控制器的设计
Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI: 10.1109/KES.1997.619444
F. Karray, E. Conrad
{"title":"Design of intelligent controllers for electronic speed regulation of a diesel engine","authors":"F. Karray, E. Conrad","doi":"10.1109/KES.1997.619444","DOIUrl":"https://doi.org/10.1109/KES.1997.619444","url":null,"abstract":"An investigation pertaining to identification and expert control design of a diesel engine system is carried out. Diesel engines are known for their high versatility, making them useful in a wide range of industrial applications. Despite several of their attractive features, diesel engines suffer from highly nonlinear and time varying dynamics making them hard to control. The current study provides a means of comparing several types of controllers, some of which are adaptive based and others which are knowledge based. The main goal is to obtain the best possible performance in terms of speed regulation, robustness to load disturbances, and fuel efficiency. This is very helpful in gaining insights for designing a hierarchical based controller under which the system can switch smoothly from one controller to another depending on the operating conditions of the system.","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"572 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":"132469185","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
Fuzzy agents for reactive navigation of a mobile robot 移动机器人响应式导航的模糊代理
Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI: 10.1109/KES.1997.619449
C. Barret, M. Benreguieg, H. Maaref
{"title":"Fuzzy agents for reactive navigation of a mobile robot","authors":"C. Barret, M. Benreguieg, H. Maaref","doi":"10.1109/KES.1997.619449","DOIUrl":"https://doi.org/10.1109/KES.1997.619449","url":null,"abstract":"The authors propose a sensor-based navigation algorithm built thanks to the fusion of various elementary behaviors. The proposed navigator combines two types of obstacle avoidance behavior, one for convex obstacles and one for concave ones. To avoid convex obstacles the navigator uses either a fuzzy tuned artificial potential field (FTAPF) method or a behavioral agent. The concave obstacle avoidance behavior results of \"wall-following\" behavior combined with the creation of transition subgoals. An automatically online tuned fuzzy wall-following system using a neuro-fuzzy structure is designed. The incorporation in the learning cost function of a weight decay term prevents an excessive growth of the weights and allows quick and efficient learning leading to a robust controller optimized with respect to the actual physical characteristics of the robot. The effectiveness of the proposed method is verified by carrying out experiments on the miniature mobile robot Khepera/sup (R/).","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"24 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":"115087380","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
Evolutionary parallel computation on welfare intelligent agent 福利智能体的进化并行计算
Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI: 10.1109/KES.1997.616866
Toru Yamaguchi, N. Kohata, Y. Wakamatsu, T. Baba
{"title":"Evolutionary parallel computation on welfare intelligent agent","authors":"Toru Yamaguchi, N. Kohata, Y. Wakamatsu, T. Baba","doi":"10.1109/KES.1997.616866","DOIUrl":"https://doi.org/10.1109/KES.1997.616866","url":null,"abstract":"The paper proposes the realization of evolutionary computation on an intelligent agent using knowledge creation based on chaotic retrieval and parallel processing. This intelligent agent has the ability to self-organize knowledge, and the authors intend to introduce a kind of evolutionary computation into intelligent agents to make use of the flexibility in a group of various agents. This agent model consists of hierarchical parts which memorize fuzzy knowledge. Each hierarchical part retrieves the knowledge based on fuzzy associative inference on associative memories. Essentially, this inference in each part is parallel processing, and these hierarchical parts also work in parallel. Furthermore, a large number of agents work in parallel on the multi-agent model and its evolutionary computation. They realize parallel processing according to these parallel properties in the brain and in nature. When they realize a welfare intelligent robot, robots have to move in a suitable formation, in cooperation with the outer environment. Therefore, they apply the knowledge creation method to multi-agent robots which move abreast and simulate parallel processing of the multi-agent model as the basis for realizing evolutionary computation. They implement a parallel processing algorithm on an A-NET (Actors NETwork) parallel object-oriented computer, and show the usefulness of parallel processing for future evolutionary computation.","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"13 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":"123483053","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
Error correction using fuzzy logic in vehicle load measurement 基于模糊逻辑的车辆载荷测量误差校正
Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI: 10.1109/KES.1997.619442
L. Su, C. Komata
{"title":"Error correction using fuzzy logic in vehicle load measurement","authors":"L. Su, C. Komata","doi":"10.1109/KES.1997.619442","DOIUrl":"https://doi.org/10.1109/KES.1997.619442","url":null,"abstract":"In vehicle load measurement, there is an accuracy problem caused by variations in the measuring condition, sensor characteristics, and so on. The problem can be explained by changes of loading states with a diversity of uncertainties. In this study, we consider an in-vehicle-type load indicator and propose an error correction technique to compensate the error contained in the load measurement, by using fuzzy logic for dealing with changes in the loading states with a diversity of uncertainties.","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"1 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":"124812966","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: 2
Neural network based self-organized fuzzy logic control in arc welding process 基于神经网络的弧焊过程自组织模糊逻辑控制
Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI: 10.1109/KES.1997.619453
Li Di, I. Katsunori
{"title":"Neural network based self-organized fuzzy logic control in arc welding process","authors":"Li Di, I. Katsunori","doi":"10.1109/KES.1997.619453","DOIUrl":"https://doi.org/10.1109/KES.1997.619453","url":null,"abstract":"A neural network based fuzzy logic control algorithm is set up for welding process control. This control strategy embeds a feedforward neural network into a fuzzy logic controller with the advantages of learning ability of the neural network as well as the explanatory ability of the fuzzy logic system. It can regulate the parameters of a membership function using sample data and generate fuzzy logic rules automatically without consulting the experts. Computer simulation shows that it is feasible for weld geometry regulation.","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"57 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":"127259209","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
A proposal of interpretations on numerical degrees of confidence for fuzzy If-Then rules and a mathematical verification of properties under various reasoning methods 提出了模糊If-Then规则的数值置信度的解释，并在各种推理方法下对其性质进行了数学验证
Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI: 10.1109/KES.1997.619434
T. Nomura
{"title":"A proposal of interpretations on numerical degrees of confidence for fuzzy If-Then rules and a mathematical verification of properties under various reasoning methods","authors":"T. Nomura","doi":"10.1109/KES.1997.619434","DOIUrl":"https://doi.org/10.1109/KES.1997.619434","url":null,"abstract":"Some fuzzy expert systems have used fuzzy rules with numerical values which represent degrees of confidence for rules. We discuss two kinds of interpretations for these numerical degrees of confidence for rules, called \"direct degrees\" and \"indirect degrees\". Then, we apply Zadeh's, Baldwin's, and Tsukamoto's reasoning method to the rules under the two interpretations using general T-norms, and verify their properties. Moreover, in cases where fuzzy sets in descendant parts of rules are defined on a finite set, we present conditions for equivalence between rules with numerical degrees of confidence where descendant parts are singleton form and conventional rules, under usage of *-max or *-sum composition for conclusions of reasoning.","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"68 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":"127750281","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
Inverse kinematic neuro-control of robotic systems 机器人系统的逆运动学神经控制
Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI: 10.1109/KES.1997.619407
N. A. Deshpande, M. Gupta
{"title":"Inverse kinematic neuro-control of robotic systems","authors":"N. A. Deshpande, M. Gupta","doi":"10.1109/KES.1997.619407","DOIUrl":"https://doi.org/10.1109/KES.1997.619407","url":null,"abstract":"The emergence of the theory of dynamic neural computing has made it possible to develop neural learning and adaptive schemes that can be used to obtain feasible solutions to complex control problems, such as inverse kinematic control for robotic systems. In this paper, such a neural learning scheme using a multilayered dynamic neural network (MDNN) is proposed. The basic dynamic computing element of MDNN is a dynamic neural unit (DNU) developed in this paper. The learning and adaptive capabilities of DNU can be used for developing complex dynamic structures. In this paper, we have used DNU for developing a MDNN for the inverse kinematic control of a two-link robot. The validity of the proposed scheme is demonstrated through computer simulation studies.","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"65 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":"126460437","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: 7
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