• Journal of Biosystems Engineering
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• v.22 no.3
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• pp.343-350
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• 1997

In farm management, many factors should be considered to select optimum farm machinery Some factors such as fm size can be quantified, but other factors such as working experience can not be. Futhermore, as several factors are missed and assumptions are made for the selection using conventional computer programs, the result is sometimes questionable. This problem can be solved using artificial intelligent techniques such as expert system. In this study, an expert system was developed to select optimum machinery by considering available working days, machinery to on, farming environments, labor cost, population, etc. It also took into account the characteristics of machinery, turning radius, easiness of operation, subsidy, loan to purchase, asset. farmers age, Rest Metabolic Rate, and working experience, etc. Expertise and experience of human experts were utilized to develop the expert system. The developed expert system was evaluated by the human experts and others, and it was proved to be practically useful fir farmers.

• The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.8 no.1
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• pp.46-52
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• 1994

In this paper, we implemented the variable speed controller of an induction motor by the Fuzzy control algorithms, which recently is invoking the remarkable interest. As the fuzzy controller is designed on the base of expert's knowlede and experience, it is difficult to expect the perfect control performance of fuzzy controller. Therefore, the adjustment techniques for optimization of scale factors were presented to design the robust fuzzy controller comparing with conventional PI control the usefullness of proposed fuzzy controller was showed by the experimental results.