{"title":"Dam Gate Diagnosing Advisor-an expert system for steel structures","authors":"T. Terano, Y. Sinohara, S. Matsui, H. Nakamura","doi":"10.1109/AIIA.1988.13282","DOIUrl":"https://doi.org/10.1109/AIIA.1988.13282","url":null,"abstract":"The Dam Gate Diagnosing Advisor (DGDA) is a frame-based expert system developed in the field of civil and structural engineering for diagnosing dam gates at hydro power stations. The function of DGDA is to diagnose the current status of each dam gate and to predict its remaining life term based on both structural engineering and empirical standpoints. To make the diagnoses reliable, the authors have developed an easy-to-use structural analysis program using the finite-element method and a flexible relational database consisting of questionnaire surveys, measurement data, and design information on each dam gate. Also developed is a method for handling data and knowledge uncertainty, which combines the analytic hierarchy process, a nonBayesian decision theory, with ordinary frame-/rule-based knowledge representation.<<ETX>>","PeriodicalId":112397,"journal":{"name":"Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133569734","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":"Analysis of parallel inference machines to achieve dynamic load balancing","authors":"M. Sugie, M. Yoneyama, A. Goto","doi":"10.1109/AIIA.1988.13340","DOIUrl":"https://doi.org/10.1109/AIIA.1988.13340","url":null,"abstract":"A parallel inference machine (PIM) prototype modelled on loosely coupled clusters was simulated on a hardware simulator. Performance of the PIM prototype is limited by suspension/resumption overhead in the fine granularity region and by low utilization, due to load distribution imbalance, in the coarse granularity region. It is shown that the load dispatch strategy in which loads are dispatched to the cluster with minimum loads at an AND-fork time is effective on the loosely-coupled cluster level, resulting in 20% higher performance than in the random dispatch strategy, and that the load status modification delay should be less than half of the reduction time to limit the degradation to within 5%.<<ETX>>","PeriodicalId":112397,"journal":{"name":"Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131292628","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":"Expert supervision and auto-tuning of digital control systems","authors":"A. García-Cerezo, A. Ollero, J. Aracil","doi":"10.1109/AIIA.1988.13343","DOIUrl":"https://doi.org/10.1109/AIIA.1988.13343","url":null,"abstract":"The authors present results on the expert supervision of digital control system of continuous processes. They discuss the general characteristics and functions of a supervisory level designed to cope with the expertise of process operators and control engineers. They present the implementation of three supervisory functions by using approximate reasoning to improve the performance of conventional digital regulators. Simulations and real-time experiments are included.<<ETX>>","PeriodicalId":112397,"journal":{"name":"Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134370802","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}
Y. Kojima, S. Warashina, S. Nakamura, K. Matsumoto
{"title":"A knowledge-based guidance system for trunk power transmission system restoration","authors":"Y. Kojima, S. Warashina, S. Nakamura, K. Matsumoto","doi":"10.1109/AIIA.1988.13311","DOIUrl":"https://doi.org/10.1109/AIIA.1988.13311","url":null,"abstract":"Proposes a practical approach to the restorative control problem. An approach that combines a knowledge-engineering technique with conventional analytical tools has been adopted. This architecture gives sufficient processing speed and various kinds of flexibility. It gives operators an appropriate restoration plan and restorative procedures. And it modifies the restoration plan automatically if unexpected occurrences such as new faults happen, and accepts the operator's restoration plan and restorative operations which are different from the system's proposed ones. A prototype has been developed to verify these functions on a real-size power system model.<<ETX>>","PeriodicalId":112397,"journal":{"name":"Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134322469","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":"Circuit pack troubleshooting via semantic control. I. Goal selection","authors":"Y. Lirov, On-ching Yue","doi":"10.1109/AIIA.1988.13280","DOIUrl":"https://doi.org/10.1109/AIIA.1988.13280","url":null,"abstract":"Design and analysis issues of automated diagnostic and repair stations for circuit packs are discussed. It is shown that an adoption of a control-theoretic point of view of the entire diagnostic process yields several advantages over the traditional approaches. First, the functionality of the system may be naturally modeled. Second, using the constructed model it is possible to define an adaptive control system which performs in real-time the optimal diagnostic/repair sequence of actions. Third, a natural decomposition of the control system into three cooperating yet independent subsystems is obtained, the techniques of artificial intelligence are used for efficient implementation of the subsystems. In particular, an expert systems approach is used for two of the above systems. The third (supervising) system is implemented as a heuristic search procedure. The paper concentrates on the design and implementation issues of the supervising subsystem.<<ETX>>","PeriodicalId":112397,"journal":{"name":"Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115603340","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":"Performance evaluation of Integrated Prolog Processor IPP","authors":"S. Abe, K. Kiriyama, Ken-ichi Kurosawa, T. Bandoh","doi":"10.1109/AIIA.1988.13339","DOIUrl":"https://doi.org/10.1109/AIIA.1988.13339","url":null,"abstract":"The IPP was developed to realize high-speed execution of Prolog and procedural languages on the same computer with less overhead. Previously developed optimization techniques such as clause indexing by optimal argument and global register assignment across determinate built-in predicates were intended to utilize mode information. The main extensions are as follows: to select as the optimal argument the variable that exists in a type checking predicate and to eliminate type checking from a clause code if such a predicate exists; and to detect unification failure as early as possible, and to resolve register conflicts by changing execution order in each unification that may fail and the remaining unification plus goal generation. The performance of the IPP for the append, quick sort, and eight-queen programs was found to be 1.1, 0.49, and 1.1 MLIPS, respectively.<<ETX>>","PeriodicalId":112397,"journal":{"name":"Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122899477","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":"Knowledge representation for image based robot operation","authors":"T. Hamada, K. Kamejima, I. Takeuchi","doi":"10.1109/AIIA.1988.13326","DOIUrl":"https://doi.org/10.1109/AIIA.1988.13326","url":null,"abstract":"A knowledge-representation method is proposed for understanding operator messages to generate motion in a robot mechanism. With this method, a generation process which activates a set of rewrite rules, translates the operator's message to a sequence of symbolic motion modules called motion schema. Further, an instantiation process of the motion schema, which binds schemata with geometric data stored in the work-space model, generates instant motion. Through an experimental study using a prototype system, certain aspects of the method were verified.<<ETX>>","PeriodicalId":112397,"journal":{"name":"Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications","volume":"581 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122541503","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":"Multi paradigm expert system architecture based upon the inverse design concept","authors":"T. Hirano, T. Yamada","doi":"10.1109/AIIA.1988.13301","DOIUrl":"https://doi.org/10.1109/AIIA.1988.13301","url":null,"abstract":"The architecture consists of an inference engine, an analysis engine, a graphic engine, and a database management system. A multiparadigm expert-system architecture based on the inverse design concept is proposed. The iterative method for the solution of inverse problems, which is interpreted as a general design process, is implemented in a Prolog environment. This environment is used as a kernel of the architecture, which connects symbolic and numerical computation and realizes the automation of the design process. Functionally gradient material (FGM) design is considered as an example.<<ETX>>","PeriodicalId":112397,"journal":{"name":"Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128507445","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":"From classification solving problem to constraint solving paradigm (medical computing)","authors":"F. Mizoguchi","doi":"10.1109/AIIA.1988.13335","DOIUrl":"https://doi.org/10.1109/AIIA.1988.13335","url":null,"abstract":"Three approaches to the constraint-solving problem in knowledge systems are examined: (1) the development of a domain-dependent constraint solver for qualitative simulation, implementing Kuiper's algorithm in logic programming; (2) the building of a general constraint solver by extending Prolog unification into the inequality and real arithmetic domain; and (3) the use of committed choice nondeterministic languages such as Prolog, CP, and GHC for a concurrent constraint language. Knowledge acquisition for medical diagnostics is considered as an example application.<<ETX>>","PeriodicalId":112397,"journal":{"name":"Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127271489","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 study on a comparison between the ERES/WCS and the ERES/CCS in the advanced teleoperator system","authors":"S.Y. Lee, M. Nagamachi, K. Ito","doi":"10.1109/AIIA.1988.13314","DOIUrl":"https://doi.org/10.1109/AIIA.1988.13314","url":null,"abstract":"A world-model teleoperator expert system with the ERES/WCS (error recovery expert system/world coordinate system) has been developed. Its superiority to the ERES/CCS (CCS=Cartesian coordinate system) has been demonstrated experimentally. The ERES/WCS which uses heuristics requires less error recovery time in the manual mode than the ERES/CCS, which uses inverse kinematics. The results are pertinent to developing a man-robot system for tasks in hostile environments.<<ETX>>","PeriodicalId":112397,"journal":{"name":"Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129903825","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}