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나노부품 초정밀가공기용 마이크로스테이지의 절삭력 예측모델 시뮬레이션
김우진(Woojin Kim),김재열(Jaeyoul Kim),문정기(Jeungki Moon) 한국트라이볼로지학회 2005 한국트라이볼로지학회 학술대회 Vol.2005 No.6
Recently, according to the development of mechatronics industry that was composed of NT, ST, IT, RT and etc, the necessity of nano-parts was increased. Because of the necessity, this research was started for improving work precision of the parts as fixing UPCU (Ultra Precision Cutting Unit) on lathe. So, in this research, we executed the modeling of UPCU (Ultra Precision Cutting Unit) by the application of PZT, the relationship between the displacement of tool in UPCU and the cutting force of it has been in take a triangular position in the case of plane cutting. The modeling of system, that is containing the fine displacement, was performed. Also, we would like to find the optimal cutting condition through the simulation of relationship between the displacement and the cutting force.
최승현(Seunghyun Choi),권수호(Sooho Kwon),김재열(Jaeyoul Kim),오경수(Kyungsu Oh) 한국HCI학회 2012 한국HCI학회 학술대회 Vol.2012 No.1
본 논문에서는 밸런싱 시스템을 적용하여 사용자의 흥미를 높이고 학습 효율을 향상시키는 어플리케이션을 소개한다. 우리는 밸런싱 시스템을 적용하여 문제 나이도와 문제수를 조절하고, 틀린 문제는 습득할 때까지 반복적으로 출제한다. 사용자는 자신의 수준에 맞는 난이도의 문제와 문제수를 학습한다. 틀린 문제는 다음 학습에 반복적으로 학습한다. 우리는 사용자가 지속적인 학습 욕구를 느낄 수 있는 문제 수와 적정 난이도를 도출하기 위하여 영단어 학습 어플리케이션을 개발하고 사용자에게 테스트를 한 후 나온 결과를 토대로 학습 어플리케이션에 적용하였다. 밸런싱 시스템은 다양한 학습 어플리케이션이나 기능성 게임에 적용이 가능하다. 사용자는 자신의 능력에 따른 난이도의 문제를 학습하고 틀린 문제는 반복적으로 학습하면서 학습에 대한 흥미와 학습의 효율을 높일 수 있다. This paper introduces an application that uses the balancing system to enhance the users' interest and also could improve the users learning ability. We use the balancing system to control the number of problems, and the level of difficulty. The problems that get incorrect continue to appear on the application.The user can learn by the problems and the number of problems that are in the level fit for the user. The problems that get incorrect answers come out automatically in the next level so that the user can learn to get the right answer. In order to develop an English word learning application that could make the user feel the need to learn and both let the user learn in a level fit for the users English skill, we had to test users and we applied the results to the application. The balancing system could be applied in various learning applications or in serious games. The user can learn by the level that is right for their ability, and they could learn through the problems that they've gotten wrong. That way they can feel interest and enhance their learning ability.