• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.29 no.1
• /
• pp.87-93
• /
• 2006

In order to implement Artificial Intelligence, various technologies have been widely used. Artificial Intelligence are applied for many industrial products and machine tools are the center of manufacturing devices in intelligent manufacturing devices. The purpose of this paper is to present the design of Decision Support Agent that is applicable to machine tools. This system is that decision whether to act in accordance with machine status is support system. It communicates with other active agents such as sensory and dialogue agent. The proposed design of decision support agent facilitates the effective operation and control of machine tools and provides a systematic way to integrate the expert's knowledge that will implement Intelligent Machine Tools.

• Computers and Concrete
• /
• v.3 no.2_3
• /
• pp.145-161
• /
• 2006

This article involves architecting prototype-fuzzy expert system for designing the nominal cover thickness by means of fuzzy inference for quantitatively representing the environment affecting factor to reinforced concrete in chloride-induced corrosion environment. In this work, nominal cover thickness to reinforcement in concrete was determined by the sum of minimum cover thickness and tolerance to that defined from skill level, constructability and the significance of member. Several variables defining the quality of concrete and environment affecting factor (EAF) including relative humidity, temperature, cyclic wet and dry, and the distance from coast were treated as fuzzy variables. To qualify EAF the environment conditions of cycle degree of wet-dry, relative humidity, distance from coast and temperature were used as input variables. To determine the nominal cover thickness a qualified EAF, concrete grade, and watercement ratio were used. The membership functions of each fuzzy variable were generated from the engineering knowledge and intuition based on some references as well as some international codes of practice.

• The KIPS Transactions:PartB
• /
• v.13B no.4 s.107
• /
• pp.421-428
• /
• 2006

Intelligent Tutoring System(ITS), which offers individualized learning environment that consider many learners' variable, is realized by the effective alternative to take the place of domain expert. Accordingly, research on Learning Companion System(LC) is currently noticing. However, to develop LCS which applies effective interaction, it is necessary to combine several LCs, and personalized knowledge base have to be made first. Therefore, in this paper, we propose the 'Knowledge Base Object Medel', which is based on connectionist' in cognition structure, represents learner's knowledge to self-learnig object, and grows adaptive object by proprietor, verify the validity. This model lays the groundwork for design of personalized knowledge base, offers clue to development of adaptive ITS using knowledge base object.

• Journal of the Korean Society for Precision Engineering
• /
• v.15 no.2
• /
• pp.107-113
• /
• 1998

Grinding operation has difficulty in satisfying the qualitative knowledge based on the skilful expert as well as the quantitative data for all user. Design of grinding database based on the frame-based model is more effective method for utilizing the empirical and qualitative knowledge. In this paper. basic strategy to develop the grinding database by taking frame-based model, which is strongly dependent upon experience and intuition, is described. Grinding database based on the frame based model for designing the interaction and inference among the slots is accomplised by the object-oriented paradigm system.

• Journal of Intelligence and Information Systems
• /
• v.4 no.2
• /
• pp.45-59
• /
• 1998

다양한 산업영역에서 수행되는 스케줄링 문제를 해결하기 위하여 AI분야에서는 지식을 기반으로한 방법이 적용되어 왔다. 그러나 최근 CSP(Constraints Satisfaction Problem) 개념이 소개되어 그 효율성이 입증되고 있으며 스케줄링 응용 문제들이 CSP로 정형화되면서부터 지식 기반 기법과 제약만족 기법의 적용이 공존하고 있다. 지식을 기반으로 한 방법은 도메인 전문가(domain expert)의 지식을 습득하여 시스템에 반영하는데 이러한 지식은 문제해결에 중심적 역할을 수행하게 된다. 제약조건을 기반으로 한 방법은 문제를 CSP로 정형화 한 후 제약조건에 따른 일관성 유지 및 휴리스틱 탐색 방법을 적용하여 문제의 해를 효율적으로 구하게 된다. 본 연구에서는 스케줄링 문제를 해결하기 위한 지식기반 기법과 제약만족 기법을 주기장 할당 문제에 적용하여 실제 항공사의 운항 데이터를 바탕으로 실험하고 분석 및 비교를 통해 제약 만족 기법이 시스템의 유지 및 보수 측면에서 효율적이며 근사해가 아닌 최적해를 통한 문제 해결이 가능함을 보였다.

• Proceedings of the Korean Society for Information Management Conference
• /
• 2000.08a
• /
• pp.89-94
• /
• 2000

본 연구에서는 경제, 비즈니스 분야의 정보원을 좀 더 효율적으로 검색하기 위해서 정보/주제 전문가들이 갖고 있는 정보원 선택과 이용에 대한 지식을 획득, 표현하여 정보검색사 또는 최종 이용자들이 공유할 수 있는 웹 기반 전문가 시스템을 구현하였다.

• Journal of the Korean Society of Food Science and Nutrition
• /
• v.30 no.5
• /
• pp.993-999
• /
• 2001

The purpose of the study was to develop a nutritional counseling program using expert system to assist obese people to lose weight through behavior modification in the internet. The counseling internet program for weight loss was developed by the accumulation of knowledge for dealing with eating habits and exercising behaviors into expert system tool, Knowledge Engineering Agent (KEA) by a dietitian without any help of computer expert. KEA was built based on the theory of Multiple Classification Ripple Down Rules. To accumulate knowledge into KEA, survey was performed in 150 obese people, the dietitian reviewed and consulted each survey case, and the consulted contents were learned and accumulated into KEA. Survey questionnaires were the same as those of the internet consulting program, and they included general characteristics, dietary habits, lifestyle, and exercise patterns related to obesity. KEA was used for nutritional counseling of obese people after KEA had enough knowledge for weight loss based on behavior modification by the dietitian. To accumulate knowledge to KEA, the dietitian selected proper factors inferred from the survey questionnaire of each case, and added the conclusions for them. Conclusions were made for helping clients to correct bad eating behaviors and accumulate good behaviors for losing weight. When clients answered survey questionnaires in a counseling internet program, KEA gave the recommendation how to eat, to exercise and the deal with stress in a real time for each case. If KEA did not have enough knowledge for a specific case, the conclusion window wrote no conclusion and the dietitian needed to add conclusions for the case. The conclusions for the new case added to the KEA knowledge base. In conclusions, a counseling internet program for weight reduction can be used for give advices how to deal with obesity in a man-to-man way in a real time using KEA where nutritional knowledge based on behavior modification for weight loss was accumulated.

• Journal of Bio-Environment Control
• /
• v.12 no.1
• /
• pp.30-37
• /
• 2003

An expert system was developed for the stress diagnosis of cucumber and tomato using FoxPro. The principle points in building the system were integration with Korean, effective processing of mass information, and easy access for non-experts such as farmers. The method of inferencing was forward chaining based on pattern matching. Knowledge base was expressed with IF∼THEN rules and was expressed in the form of tree. Also, the expert system was designed so that additions and modifications of all information could easily be performed on windows. The results tested by farmers with the developed system showed that the expert system was reliable for the practical use. It was expected the expert system could be directly applied to the stress diagnosis of other vegetable plants by modifying only data bases.

• Journal of Environmental Health Sciences
• /
• v.41 no.2
• /
• pp.102-115
• /
• 2015

Objectives: A learning organization was designed and implemented on the basis of the selection criteria and essential elements of knowledge translation theory. Methods: The learning organization was designed on the basis of biosafety harmonization criteria and risk management strategy and was implemented as the learning organization for biosafety management by the National Institute of Health, Korea Centers for Disease Control & Prevention. The effect of knowledge translation in the research institutions by evidence-based policy was verified. Results: The result of applying the knowledge translation theory involving all stakeholders showed a positive reaction in establishing and implementing biosafety management strategy and embodied risk assessment criteria and evoked sympathy with the necessity of learning and using of expert knowledge about risk assessment and risk management. All stakeholders initiated voluntarily action toward new human-network construction and communication between similar organizations. The learning organization's capability expanded the base of knowledge translation. Conclusion: These results showed that a learning organization could enhance the autonomous safety management system by diffusion of knowledge translation.

• Journal of the Korean Society for information Management
• /
• v.7 no.2
• /
• pp.35-57
• /
• 1990

Knowledge-based system is interpreted from the viewpoint of library and information science, and the concept of knowledge is defined in relation to information and data. Knowledge representation techniques are illustrated with examples from intelligent information retrieval systems and expert systems developed in library and information science field.