• Journal of the Society of Naval Architects of Korea
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• v.33 no.1
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• pp.161-172
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• 1996

Although conventional computer programs use efficient and precise optimization algorithms, they can not emulate the problem solving capabilities of human experts. A design optimization process involves a number of tasks which require human expertise and experience. Traditional optimization systems have concentrated on numerical aspects of a design process and have not been successful in integrating the numerical parts with human expertise. On the other hand, most knowledge-based systems focus on symbolic reasoning and have been little concerned with the numerical processes. The objective of this paper is to develop a knowledge-based multiobjective optimum design system which has the capabilities of knowledge processing and numerical computation by integrating the multiobjective optimization method and the knowledge-based system. The knowledge-based system for symbolic processing is developed. Rules for knowledge representation and the inference mechanism of the system are written in LISP. The knowledge-based multiobjective optimum design system is finally developed by integrating the multiobjective optimization method and the knowledge-based system by applying shell programming technique. The system is applied to an optimum design model of a LNG carrier in the preliminary design stage. It is found that the system well simulate design variables and objective functions of the design model.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.11a
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• pp.271-275
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• 2005

In this research, we propose a Unified Fuzzy rule-based knowledge Inference Systems UFIS) to help the expert in cosmetic brand detection. Users' preferred cosmetic product detection is very important in the level of CRM. To this Purpose, many corporations trying to develop an efficient data mining tool. In this study, we develop a prototype fuzzy rule detection and inference system. The framework used in this development is mainly based on two different mechanisms such as fuzzy rule extraction and RDB (Relational DB)-based fuzzy rule inference. First, fuzzy clustering and fuzzy rule extraction deal with the presence of the knowledge in data base and its value is presented with a value between $0\∼1$. Second, RDB and SQL(Structured Query Language)-based fuzzy rule inference mechanism provide more flexibility in knowledge management than conventional non-fuzzy value-based KMS(Knowledge Management Systems)

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.10a
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• pp.1202-1206
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• 2004

In the future, a machine-tool will be more improved in the form of a knowledge evolution based device. In order to develop the knowledge evolution based machine-tool, this paper proposes the structure of knowledge evolution and the scheme of a dialogue agent among agent-based modules such as a sensory module, a dialogue module, and an expert system. The dialogue agent has a role of interfacing with another machine for cooperation. To design of the dialogue agent module in M2M(Machine To Machine) environment, FIPA-OS and ping agent based on FIPA-OS are analyzed in this study. Through this, it is expected that the dialogue agent module can be more efficiently designed and the knowledge evolution based machine-tool can be hereafter more easily implemented.

• Journal of the Korea Safety Management & Science
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• v.2 no.4
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• pp.59-70
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• 2000

To keep enterprise's competitiveness on condition of the automatic manufacturing system such as FA, FMS and CIM, all the maintenance problems should be considered seriously in not only production and maintenance but also related industrial safety. As we analyze in the surveys for the maintenance management of domestic enterprises and the causes of Industrial accident, there will be necessity of drawing up countermeasures for prevention of industrial accidents and for ensuring expertise maintenance technologies. Based on these analyses, this study studied the safety information system, maintenance management information system, and the machinery condition diagnosis technique by using of the knowledge-based system under the internet environment. This web based knowledge-based diagnosis system can easily provide not only the knowledge of expert about deterioration phenomenon of industrial robot, but also the knowledge of relating safety and facility on everywhere, everytime. Therefore, when we use this system, it is expected to improve the efficiency of business processes in the production and safety.

• International Commerce and Information Review
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• v.9 no.4
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• pp.329-347
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• 2007

Knowledge-based Service evolution and the e-business has emerged as a new economic activity and beyond the time and space limitations. But the Enterprises have been too inactive in their willingness and readiness to adopt e-business models and processes owing to the lack of the directions of e-business, the insufficient network infrastructures and capitals, etc., In this circumstance, as part of this research, This Papers have conducted a survey on the e-business and information conditions and status among the Enterprises. In Conclusions, this study Study on the Informationalization of the Enterprises and Knowledge-based Service Industry Enlarge Strategics for building competition of Enterprises. This study has suggested potential plans to reinforce based in the Knowledge-based Service.

• International Commerce and Information Review
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• v.10 no.4
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• pp.23-45
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• 2008

As Knowledge Management (KM) has taken an essential position of managing businesses in the knowledge-oriented society, many companies have adopted Knowledge Management System (KMS) into their organization. Many have questioned, however, in the result and the effectiveness in KMS. The purpose of this study is to explore ways to improve the current KMS by analyzing and identifying the causes that affect effectiveness of KMS. Blog which is an effective tool for communication could be used for KMS in order to make KMS more user friendly and more effective. This research is intended to conduct an empirical study on the differences between Blog-based KMS and Non-Blog-based KMS and suggest resolutions to potential issues of KMS. Blog-based KMS users show higher degree of satisfaction and usage toward their system. The result of this study suggests that the differences between two groups are primarily on system quality and knowledge quality, and many of these differences come from functions and characteristics of Blog.

• Proceedings of the Safety Management and Science Conference
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• 2000.11a
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• pp.269-279
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• 2000

To keep enterprise's competitiveness on condition of the automatic manufacturing system such as FA, FMS and CIM, all the maintenance problems should be considered seriously in not only production and maintenance but also related Industrial safety. As we analyze in the surveys for the maintenance management of domestic enterprises and the causes of industrial accident, there will be necessity of drawing up countermeasures for prevention of industrial accidents and for ensuring expertise maintenance technologies. Based on these analyses, this study studied the safety information system, maintenance management information system, and the machinery condition diagnosis technique by using of the knowledge-based system under the internet environment. This web based knowledge-based diagnosis system can easily provide not only the knowledge of expert about deterioration phenomenon of industrial robot, but also the knowledge of relating safety and facility on everywhere, everytime. Therefore, when we use this system, it is expected to improve the efficiency of business processes in the production and safety.

• Journal of the Korean Society for Precision Engineering
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• v.19 no.2
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• pp.17-25
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• 2002

• Proceedings of the Korea Society of Design Studies Conference
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• 2001.10a
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• pp.18.1-18
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• 2001

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2007.06a
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• pp.801-802
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• 2007