{"title":"A computer system configuration design expert system: IDEA/C","authors":"Y. Iizuka, H. Tsuji","doi":"10.1109/AIIA.1988.13329","DOIUrl":"https://doi.org/10.1109/AIIA.1988.13329","url":null,"abstract":"An expert system, called IDEA/C (intelligent system design automation/configuration) has been developed to assist system engineers with computer system configuration. The knowledge base of this Prolog-based system contains expert knowledge concerning computer system configuration design, as well as hardware specifications of various pieces of equipment and their interconnectability relationships. Using the knowledge base, the system assists system engineers with design work. The authors focus on the following two points: (1) discussions on the effectiveness of Prolog for representation of interconnectability relationships between various pieces of equipment, for representing system components, and for implementation of knowledge base retrieval function; and (2) system structure which reflects emphasis on improved maintenance of expert systems.<<ETX>>","PeriodicalId":112397,"journal":{"name":"Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications","volume":"45 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":"116370981","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 routing model for the NCR GAPP","authors":"Jacqueline Signorini","doi":"10.1109/AIIA.1988.13341","DOIUrl":"https://doi.org/10.1109/AIIA.1988.13341","url":null,"abstract":"A routing model for the NCR Geometric Arithmetic Parallel Processor (GAPP) is described. The objective is to permit virtual reconfigurations of the array of processing elements (PEs) and nonlocal connections between arbitrarily distant PEs. The main feature of the model is the multiplexing of two instruction sets, over an additional pin, controlling either the SIMD (single-instruction, multiple-data-stream) machine or the set of router-cells organized as a hypercube network. A description is given of which structural changes are applied to the GAPP SIMD machine to support the routing scheme, and the operations concurrently executed by the router-cells for receiving, delivering or forwarding messages. A functional description of a semantic network which was designed expressly to test the routing model is given together with examples of its use.<<ETX>>","PeriodicalId":112397,"journal":{"name":"Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications","volume":"13 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":"114875193","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":"Development of the expert system for operation planning of power system","authors":"S. Osaka, Y. Kono, R. Fujiwara, A. Yamanishi","doi":"10.1109/AIIA.1988.13345","DOIUrl":"https://doi.org/10.1109/AIIA.1988.13345","url":null,"abstract":"A prototype expert system has been developed to assist the operation planning of power systems. The system consists of four subsystems: configuration planning, reliability/security planning, voltage/reactive power planning, and stability planning. The authors focus on the second and the third subsystems. Knowledge has been acquired through both interviews and verbal protocol analysis, and it is represented as production rules. Analysis tools written in Fortran, such as load flow, short-circuit calculation, sensitivity calculation, and transient stability simulation are joined to the knowledge-based system.<<ETX>>","PeriodicalId":112397,"journal":{"name":"Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications","volume":"35 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":"124136599","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":"Basic architectural features of configuration expert systems for automation engineering","authors":"W. Baginsky, H. Endres, G. Geissing, L. Philipp","doi":"10.1109/AIIA.1988.13354","DOIUrl":"https://doi.org/10.1109/AIIA.1988.13354","url":null,"abstract":"The authors explain the basic architectural features of configuration expert systems for automation engineering. They illustrate these features with a prototype expert system for rolling mill automation and analyze the results achieved thus far. The basic features of the PLAKON expert-system shell of the TEX-K joint project are described. Finally, the authors take a look at the future development in this field.<<ETX>>","PeriodicalId":112397,"journal":{"name":"Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications","volume":"37 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":"121961825","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":"JET-X: jet engine troubleshooting expert system","authors":"R. P. Shah, L. Lapierre, P. Costen, D. Doel","doi":"10.1109/AIIA.1988.13283","DOIUrl":"https://doi.org/10.1109/AIIA.1988.13283","url":null,"abstract":"JET-X is a microcomputer-based expert systems application for ground-based troubleshooting of the TF34-100 engines on the USAF A-10 aircraft. It provides fault isolation capabilities to supplement the current engine fault detection system. JET-X incorporates domain-specific knowledge from existing troubleshooting manuals, augmented and enhanced by a team consisting of a factory engineer with a background in engine performance analysis and a field technical representation with considerable on-site troubleshooting experience. The expert system shell used for this application is GEN-X. The authors describe the diagnostics scope and design objectives of JET-X as well as the development issues and the procedures used to produce this tool. Particular emphasis is placed on human-factors issues.<<ETX>>","PeriodicalId":112397,"journal":{"name":"Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications","volume":"54 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":"121963782","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":"An on-line mobility model for robotic assemblages using orthogonal physical constraints","authors":"C. Orgill","doi":"10.1109/AIIA.1988.13324","DOIUrl":"https://doi.org/10.1109/AIIA.1988.13324","url":null,"abstract":"A symbolic reasoning system is implemented which allows a wide class of assembly products to be reasoned about in all worlds which lead to a correctly assembled product. External sources of metric knowledge and expertise are described which provide entirely symbolic input to the model, which then infers the incremental mobility of the assemblage as it is built. This produces an online relational ATMS structure which can participate in flexible assembly systems in a number of roles. The model may direct the manipulation processes and answer hypothetical questions about the effects of manipulating the assemblage. By explicating the motion-part classes that the model can reason about, it is possible to provide metaknowledge about those classes which are beyond the bounds of the representation. This allows the system to participate more effectively in a framework of other domain experts.<<ETX>>","PeriodicalId":112397,"journal":{"name":"Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications","volume":"37 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":"126323113","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":"Resource planning support system","authors":"K. Ohmori","doi":"10.1109/AIIA.1988.13276","DOIUrl":"https://doi.org/10.1109/AIIA.1988.13276","url":null,"abstract":"An approach to facilitating the task of resource planning by using knowledge-based techniques is attempted and examined. Resources are taken to mean manpower, materials, tools, and money. It is assumed that plans are made for each year. The goal of this system is not to make plans automatically, but to do so with the deep understanding of a planner. To achieve this goal, a bidirectional calculation feature and a rule-based simulation feature with heuristics are adopted. These features make it possible to examine the side-effects of modifying a plan, and thus enable a planner to confirm his decisions. The system has been applied to resource planning in an IBM-Japan factory, and has been shown to be helpful in improving the quality of the plan.<<ETX>>","PeriodicalId":112397,"journal":{"name":"Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications","volume":"81 15","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120821089","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":"An expert system to assist production planning","authors":"N. Kanai, S. Yokoi, K. Fukunaga, Y. Tozawa","doi":"10.1109/AIIA.1988.13297","DOIUrl":"https://doi.org/10.1109/AIIA.1988.13297","url":null,"abstract":"Describes the approach and implementation of the Production Planning Consultant system (PPC). PPC is an expert system designed to support production planning for a semiconductor device line. Its purpose is not to generate an initial plan, but to deal with modifications to the plan. The planner's revision process consists of three subtasks; PPC supports each subtask by providing a bidirectional update propagation mechanism, a monitoring mechanism, and an inference engine. One of the characteristics of PPC is that it cooperates with the planner in revising a plan to make it satisfactory. An example of PPC execution is provided.<<ETX>>","PeriodicalId":112397,"journal":{"name":"Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications","volume":"161 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":"133933850","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":"Application of the Klopfian neuron model to function minimization","authors":"D. Politis","doi":"10.1109/AIIA.1988.13344","DOIUrl":"https://doi.org/10.1109/AIIA.1988.13344","url":null,"abstract":"The author discusses the use of the adaptive learning controller (ALC) algorithms developed by A.G. Barto and R.S. Sutton (1981), based on the Klopfian neuron model, for function minimization. In this application the ALC is placed directly into the signal processing loop of a synthetic aperture radar and the task assigned to it is to minimize the 3-dB width of the system impulse response function. This results in the correction of the quadratic and possibly higher-order system phase errors.<<ETX>>","PeriodicalId":112397,"journal":{"name":"Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications","volume":"18 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":"134400608","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":"An expert system in process design-analysis of process safety and reliability","authors":"P. Heino, J. Suokas, I. Karvonen","doi":"10.1109/AIIA.1988.13298","DOIUrl":"https://doi.org/10.1109/AIIA.1988.13298","url":null,"abstract":"Describes HAZOPEX, an expert system supporting the safety analysis of process systems. It is being developed in the Technical Research Centre of Finland, and is based on the hazard and operability study (HAZOP), which is widely used in the European process industry. Advanced programming techniques are used in the development of HAZOPEX. All entities in the application are represented as objects in an object hierarchy. Techniques like inheritance of characteristics and rule-based reasoning are available in the development environment in addition to Lisp and interactive graphics. The structure and application of HAZOPEX are described, and its implementation using an advanced development environment is discussed. As an example, the problem of high temperature is analyzed in an example process system consisting of tanks, valves, pumps and a heat exchanger.<<ETX>>","PeriodicalId":112397,"journal":{"name":"Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications","volume":"33 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":"132778874","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}