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컨테이너 크레인 시뮬레이터 개발을 위한 환경설정에 관한 기초연구
소명옥(Myung-Ok So),최한우(Han-Woo Choi),이윤형(Yeun-Hyung Lee),윤학진(Hak-Jin Yeun),최재준(Jae-Jun Choir),손정기(Jung-Ki Son) 한국마린엔지니어링학회 2003 한국마린엔지니어링학회 학술대회 논문집 Vol.2003 No.-
The skill of the crane operator has influence on the overall profitability of a transport. But, It is very hard to train crane operators effectively by actual crane. Therefore, it is desirable for the crane simulator to be used properly, considering various condition of the crane operation. The purpose of the container crane simulator is to provide a facility for training and evaluation of crane operators and aspirants. Training using crane simulator provides crane operators with the increased safety and high efficiency. Hence, as the basic study on crane simulator, this paper introduces developers the kinds of training education programs and the setting up of environmental conditions for virtual reality crane simulator
컨테이너 크레인 시뮬레이터 개발을 위한 크레인 및 고장 설정에 관한 기초연구
소명옥(Myung-Ok So),진선호(Sun-Ho Jin),이윤형(Yeun-Hyung Lee),안종갑(Jong-Kab Ahn),최우철(Woo-Chul Choi) 한국해양대학교 해사산업연구소 2004 海事産業硏究所論文集 Vol.15 No.-
As demands for operational safety and efficiency of crane have been intensified, the requirements for crane drivers' skill have becoming complicated and intricate. Thus, the need exists for effective training devices to better prepare crane drivers for the challenges that they will encounter in the actual crane operating environment. Utilizing simulation technology, even the most skillful and experienced crane drivers are able to improve their operation skills. Crane simulator can provide as much valuable experience as actual crane operation. Situations requiring high skill levels can be practiced repeatedly and, even though mistakes may be made, damage to actual equipment and injury to personnel do not occur. As the basic study on crane simulator, this paper introduces the setting of crane speed, weights, wind, sway, and the fault setting of twist lock, flippers, spreader lamps, and hydraulic systems, etc.
소명옥(Myung-Ok So),진선호(Sun-Ho Jin),최한우(Han-Woo Choi),이윤형(Yeun-Hyung Lee),최우철(Woo-Chul Choi),윤학진(Hak-Jin Yeun),최재준(Jae-Jun Choi) 한국마린엔지니어링학회 2003 한국마린엔지니어링학회 학술대회 논문집 Vol.2003 No.-
In this paper, we present a adaptive fuzzy neural network controller which unifies both fuzzy logic and multi layered feedforward neural networks. In the proposed adaptive fuzzy neural network controller, the parameters of membership functions in the antecedent part of fuzzy inference rules are identified by using the error backpropagation algorithm as a learning rule, while the coefficients of the linear combination of input variables in the consequent part are determined by using the least squared estimation method. Finally, the effectiveness of the proposed controller is verified through computer simulation of a container crane system.