• Proceedings of the Korean Society of Applied Entomolohy Conference
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• 2004.05a
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• pp.141-141
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• 2004

• Proceedings of the Korean Society of Sericultural Science Conference
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• 2004.04a
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• pp.57-57
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• 2004

• 한국문화재보존과학회:학술대회논문집
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• 2003.09a
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• pp.71-72
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• 2003

• The KSFM Journal of Fluid Machinery
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• v.3 no.3 s.8
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• pp.25-30
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• 2000

Thermodynamic method of pump performance measurement calculates pump efficiency and flowrate by measuring fluid temperature increase and pressure rise through the pump. The theory of this method is investigated and precise comparison experiment with classical hydraulic method was conducted to verify the accuracy. Classical hydraulic pump performance measurement results and Yatesmeter results based on the thermodynamic method showed good agreement in measured performance.

• Proceedings of the Zoological Society Korea Conference
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• 2000.10a
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• pp.226.3-227
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• 2000

No Abstract, See Full Text

• Proceedings of the Zoological Society Korea Conference
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• 2000.10a
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• pp.227-227
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• 2000

No Abstract, See Full Text

• Proceedings of the Korean Society of Applied Entomolohy Conference
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• 2002.11a
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• pp.143-143
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• 2002

• Proceedings of the Korean Society of Applied Entomolohy Conference
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• 2003.10a
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• pp.113-113
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• 2003

• Proceedings of the Korea Information Processing Society Conference
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• 2003.11c
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• pp.1625-1628
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• 2003

컴포넌트 기반 시스템의 개발 생산성과 유지 보수성을 향상시키기 위해 기존에 생성된 소프트웨어 컴포넌트를 재사용할 수 있는 컴포넌트 기반 시스템 개발 방법론을 제시하고 종합적이고 체계적인 형태로 재사용 프로세스를 구성하고 각 단계별로 필요한 작업과 핵심 산출물을 살펴보도록 한다.

• Proceedings of the KIEE Conference
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• 2003.07d
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• pp.2441-2443
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• 2003

This paper proposes an indirect adaptive fuzzy controller for general SISO nonlinear systems. No a priori information on bounding constants of uncertainties including reconstruction errors and optimal fuzzy parameters is needed. The control law and the update laws for fuzzy rule structure and estimates of fuzzy parameters and bounding constants are determined so that the Lyapunov stability of the whole closed loop system is guaranteed. The computer simulation results for an inverted pendulum system show the performance of the proposed robust adaptive fuzzy controller.