• Culinary science and hospitality research
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• v.2
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• pp.149-167
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• 1996

A computer expert system for guiding Japanese style meal menu has been developed by using EXSYS Professional which is one of expert system developing software tools. The expert system nunderstands the situations of clients, and can guide the menu as human experts do by its software program with expert knowledge about the meal menu. In developing the expert system, the elements the clients consider when selecting menu were arranged as questions of the expert system, and the final outcome of the expert system resulted in selecting the final menu appropriate for the client demand, weather, health, etc. In hotel, the expert system can be shared by whole restaurants, and be directly a computer guider to the clients to tell the best choice of the menu. Besides, it can be used for various kinds of bangquets and events. Expert system has been developed and studied by business managers, manufactures, medical fields, and military field. But the studies for applying the expert system in the fields of foods have been scare. Through this study, therefore, the expert system is going to be applied more widely in many fields fo food events.

• Journal of the Korea Computer Industry Society
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• v.5 no.4
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• pp.503-510
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• 2004

The summary of this paper is as follows. The literature on existing expert system maintenance software technique are reviewed in Module program, a case of assembly line process problem at construction industry and planning expert system to solve this problem at construction as a standard configured process system are discussed. the regenerative expert system approach for the construction process expert system and its example for the assembly line construction process appear in the research also, this paper shows the architecture and some feature of the CES.(Construction Expert System), which is a prototype implemented for the regenerative expert system approach. the paper introduce the framework of the regenerative expert approach as a general framework of developing and maintaining a large-scale expert systems.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.1570-1575
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• 2009

The purpose of this research is to propose the conceptual model of Scenario-based Project Planning Expert System which has not been used in domestic LNG plant industry. This research examines data on the plant project planning expert system of domestic and oversea, analyzes the components of project planning expert systems and benchmark excellent cases. The conceptual model of LNG plant project planning expert system is established through the procedure as has been noted above. The results of this research are as follows: First, this research draws out such components of LNG plant project planning expert system as feasibility, cost control, contract management and risk management. Second, this research proposes the conceptual model of LNG plant project planning expert system which core module is consist of feasibility evaluation, life cycle cost evaluation and decision making. Finally, each module of LNG plant project planning expert system would be integrated into the Scenario-based Project Planning Expert System.

• Journal of the military operations research society of Korea
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• v.16 no.1
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• pp.56-66
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• 1990

Expert systems are in an early evolutionary phase, but it already has significant impacts on business operations. More and more organizations are becoming interested in applying expert systems as solutions to their business problems. This paper describes how systems started, what is their current situation, and what are their application areas. It outlines what is expert system and how to develop an expert system. And it analyzes expert system shells and shows some current available expert system shells. Lastly, it concludes and predicts the main attributes of the future expert systems.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.10a
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• pp.938-941
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• 2005

Recently We make a study of the process expert system model in 2005 process expert system concepts is applied to the digital meister expert system development. Well-designed expert systems imitate the reasoning processes experts use to solve specific problem. Specially, expert systems are used to the engineer in manufacturing industry fur the process control, production management and system management. In this paper, we propose the digital moister expert system fur product design process in manufacturing industry and we present introduction and contents of design process expert system methodology and software far the air purifier design system.

• Journal of Korean Library and Information Science Society
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• v.19
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• pp.35-57
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• 1992

This study is an attempt to provide some helpful data for the design and the implementation of the expert system for the book-classification based on the analysis of various cases of the classification-expert system models. Following the introduction, the concepts and some features of an expert system were overviewed in the second chapter, on the basis of which the following concrete cases were introduced and analyzed in the third chapter : (1) ACN System for NC, (2) Expert System for NDC, (3) Expert System for UDC, (4) Herba Medica System, (5) Expert System for IPC, (6) Stratcyclode Project, (7) Expert System for Classification of INIS Database, (8) AutoBC System, and etc. In the conclusion, for the development of the classification-expert system, it was turned out that constructing a new system by using an AI language such as Prolog or LISP is more desirable than employing any one of expert system shells. Together it is necessary for the following requirements to be met : (1) The subject concept of a document elicited should be accurate. (2) Not only a domain knowledge but also the knowledge covering all the subjects should be represented in the knowledge-bases. (3) The knowledge-bases should be organized in such a way that the characteristics of the knowledge about classification should be well defined. (4) rule-base consisting of accurate rules about classification should be made. (5) It should be possible for classification code wanted to be generated immediately.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.39 no.1
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• pp.16-21
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• 1990

A Knowledge based expert system is a computer program that emulates the reasoning process of a human expert in a specific problem domain. Expert system has the potential to solve a wide range of problems which require knowledge about the problem rather than a purely analytical approach. This papaer presents the application of knowledge based expert system to power system fault diagnosis. The contents of expert system develpped in this paper is judgement of fault section from a given alarm sets and production of all possible hypothesis for the single fault. Both relay failures and circuit breaker failures are considered simultaneously. Although many types of relay are used in actual system, experts recognize ones as several typical signals corresponding to the fault types. Therefore relays are classified into several types. The expert system is written in an artificial intelligence language "PROLOG" . Best-first search method is used for problem solving. Both forward chaining and backward chaining schemes are used in reasoning process. The application to a part of actual power system proves the availability of the developed expert system.

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.120.6-120
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• 2002

This paper presents an application of rule based expert system to GDS. Expert system is a computer-based system that uses knowledge, facts, and reasoning techniques to solve problems that normally require the abilities of human experts. Expert system can be classified as synthesis expert system, classification expert system or combination of these. The Expert system of GDS belongs to the synthesis type of expert system. GDS is a graphic design environment that automates complex and time consuming processes in the design phase of the grating production. There are methodical procedures in the design phase of gratings and each process needs the know-how of a skillful designer. User has to know...

• Proceedings of the KIEE Conference
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• 1989.07a
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• pp.241-245
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• 1989

A knowledge based expert system is a computer program that emulates the reasoning process of a human expert in a specific problem domain. This paper presents an expert system to diagnose the various faults in power system. The developed expert system is represented considering two points; the possibility of solution and the fast processing speed. As uncertainties exist in the facts and rules which comprise the knowledge base of the expert system, Certainty Factor, which is based on the confirmation theory is used for the inexact reasoning. Also, as the diagnosis problem requires the inductive reasoning process in nature, the solution is imperfect and not unique in general. So the expert system is designed to generate all the possible hypothesis in order of the possibility and also it can explain the propagation procedure of the faults for each solution using the built in backtracking mechanism. In realization of the expert system, the processing speed is greatly dependent upon the problem representation, reasoning scheme and search strategy. So, in this paper the fault diagnosis problem itself is analysed from the view point of Artificial Intelligence and as a result, the expert system has the following basic features. 1) The certainty factor is adopted in the inference engine for inexact reasoning. 2) Problem apace is represented using the problem reduction technique. 3) Bidirectional reasoning scheme is used. 4) Best first search strategy is adopted for rapid processing. The expert system was developed us ing PROLOG language.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1995.10a
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• pp.852-855
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• 1995

In modern plant lndustry, dignosis system is an essential implement because a human operator cannot check the state of system all the time. The recent facility needs a computer system which is able to replace and extense the function of the human expert. Checking the state of the plant system, the computer system uses signals form sensors attached to the plant systems. But, It is difficult to predict the cause of the failure from the sensing signals. Because the relationship among the signals cannot be easily represented by mathematical models. So expert system based on a fuzzy rule and Neural network method is sugguested. Expert system decide whether aa state of the system is ordinary of failure by the evaluation of the signals. If the state of the system is unstable, expert system preprocess the signals. When fault is occurred in the machine, the expert system dignoses the state of the system and find the cause as a primary tool. If the expert system dose not find the adequate cause successfully, neural network system uses the preprocessed signals as an input and propose a cause of the failure.