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- 저자 : 정동연 (검색결과 181 건)
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한·일 초등 역사 교과서의 자국 중심성과 그 해소 방향
정동연 역사교육연구회 2024 역사교육 Vol.169 No.-
This article compares the nation-centrism of current elementary history textbooks in Korea and Japan and explores ways to relieve it. Using the increasing nation-centrism of Japanese textbooks as a mirror, this article examines the nation-centrism of the newest Korean textbooks and suggests ways to overcome it by linking aspects of curriculum, textbooks, and teaching and learning. The nation-centrism in Korean and Japanese elementary history textbooks is mainly found in the narratives of invasion and resistance, exchange and migration. The contrast between foreign invasions and national resistance was sharply drawn, and national invasions and foreign resistance were downplayed or obscured. Interaction and migration was interpreted in selective attention, or used to support the relative superiority of their own culture. In order to relieve this nationalism, it is necessary to complement the curriculum that is composed of a national history-oriented system. In addition, it is necessary to produce textbooks that reflect the trend of multiculturalism and globalization. In teaching and learning, it is also important to provide learners with experiences that allow them to understand history from a variety of perspectives.
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정동연,김경년,이정호,김원일,한성현 한국공작기계학회 2002 한국공작기계학회 춘계학술대회논문집 Vol.2002 No.-
In this paper, we have proposed a new approach to the design of robot vision system to develop the technology for the automatic test and assembling of precision mechanical and electronic parts for the factory automation. In order to perform real time implementation of the automatic assembling tasks in the complex processes, we have developed an intelligent control algorithm based-on neural networks control theory to enhance the precise motion control. Implementing of the automatic test tasks has been performed by the real-time vision algorithm based-on TMS320C3I DSPs. It distinguishes correctly the difference between the acceptable and unacceptable defective item through pattern recognition of parts by the developed vision algorithm. Finally, the performance of proposed robot vision system has been illustrated by experiment for the similar model of fifth cell among the twelve cell for automatic test and assembling in S company.
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정동연,김홍래,한성현 한국공작기계학회 2004 한국공작기계학회 추계학술대회논문집 Vol.2004 No.-
This paper proposed trajectory tracking control of Mobile Robot. Trajectory tracking control scheme are Real coding Genetic-Algorithm and Back-propergation Algorithm. Control scheme ability experience proposed simulation.
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DSPs(TMS320C50)를 이용한 로봇 매니퓰레이터의 적응-신경제어기 실현
정동연,김용태,한성연 한국공작기계학회 2002 한국공작기계학회 추계학술대회논문집 Vol.2002 No.-
In this paper, it is presented a new scheme of adaptive-neuro control system to implement real-time control of robot manipulator. Unlike the well-established theory for the adaptive control of linear systems, there exists relatively little general theory for the adaptive control of nonlinear systems. Adaptive control technique is essential for providing a stable and robust performance for application of robot control. The proposed neuro control algorithm is one of learning a model based error back-propagation scheme using Lyapunov stability analysis method. Through simulation, the proposed adaptive-neuro control scheme is proved to be a efficient control technique for real-time control of robot system using DSPs.
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정동연,서운학,이영진,지호성,한성현 한국공작기계학회 2000 한국공작기계학회 추계학술대회논문집 Vol.2000 No.-
In this paper, we have proposed a new approach to the design of robot vision system to develop the technology for the automatic test and assembling of precision mechanical and electronic parts for the factory automation. In order to perform real time implementation of the automatic assembling tasks in the complex processes, we have developed an intelligent control algorithm based-on neural networks control theory to enhance the precise motion control. Implementing of the automatic test tasks has been performed by the real-time vision algorithm based-on TMS320C31 DSPs. It distinguishes correctly the difference between the acceptable and unacceptable defective item through pattern recognition of parts by the developed vision algoritlun. Finally, the performance of proposed robot vision system has been illustrated by experiment for the similar model of fifth cell among the twelve cell for automatic test and assembling in S company.
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정동연,김용태,한성현 경남대학교 공업기술연구소 2000 硏究論文集 Vol.18 No.-
본 논문에서는 일반적으로 고정된 위치에서 검사하는 비젼 시스템이 아닌 카메라를 로봇의 말단효파부에 장착하여 렌덤하게 움직이는 물체를 추적하여 지능적으로 매니퓰레이터의 위치 및 속도를 제어하여 정확한 위치에 납땜 작업을 한 후 비젼 검사를 실시하는 로봇 비젼 시스템을 설계한다. 자동검사를 위한 비젼기술은 실시간 실현을 위해 디지털 신호 처리기를 사용한 새로운 고성능 비젼 알고리즘을 개발해서 S사의 전자부품 조립검사라인, 즉 카메라 조립검사라인에서 라인을 따라 흘러 들어오는 백커버(Back Cover)들을 정해진 위치를 따라 로봇을 이동하여 자동 인식한다. 인식된 백커버의 납땜상태를 다양한 위치 및 이동공정에서 대해서도 유연하게 검사를 자동으로 수행하고 품질기준 통과여부를 자동 판단할 수 있는, 이른바 다공정 제품의 형상인식 및 자동검사용 로봇 비젼 기술을 개발하기 위한 연구가 수행되었다. 그리고 제안된 로봇 비젼 시스템의 성능을 컴퓨터 시뮬레이션 및 실험을 통하여 S사의 조립라인중 5번 Cell의 유사공정을 모델링하여 그에 대한 유사한 실험을 통해 그 신뢰성을 입증하고자 한다. In this paper, we have proposed a new approach to the design of robot vision system to develop the technology for the automatic test and assembling of precision mechanical and electronic parts for the factory automation. In order to perform real time implementation of the automatic assembling tasks in the complex processes, we have developed an intelligent control algorithm based-on neural networks control theory to enhance the precise motion control. Implementing of the automatic test tasks has been performed by the real-time vision algorithm based-on TMS320C31 DSPs. It distinguishes correctly the difference between the acceptable and unacceptable defective item through pattern recognition of parts by the developed vision algorithm. Finally, the performance of proposed robot vision system has been illustrated by experiment for the similar model of fifth cell among the twelve cell for automatic test and assembling in S company.
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정동연,장영희,차보남,한성현 한국공작기계학회 2004 한국공작기계학회 춘계학술대회논문집 Vol.2004 No.-
Developed shape awareness technology and vision technology for optical lens slant in this research, and including external form state of lens for the performance verification, developed so that can be good, achieve badness finding. And, establish to existing reflex data because inputting surface badness degree of scratch's standard specification condition directly, and error designed to distinguish from product more than schedule error to badness product by normalcy product within schedule extent after calculate the error comparing actuality measurement reflex data and standard reflex data mutually. Developed system to smallest 1pixel unit though measuring is possible 1pixel as 3.7μm×3.7μm(0.1369×1O^(-4)mm²) the accuracy to 10^(-4)mm minutely measuring is possible performance verification and trust ability through an experiment prove.
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