• Journal of the Korean Society for Precision Engineering
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• v.21 no.5
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• pp.64-72
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• 2004

An extension of interaction matrix formulation to the problem of system and disturbance identification for a plant that is corrupted by both process and output disturbances is presented. The teaming control develops controllers that learn to improve their performance at executing a given task, based on experience performing this task. The simplest forms of loaming control are based on the same concept as integral control, but operating in the domain of the repetitions of the task. This paper studies the use of such controllers in a decentralized system, such as a robot moving on the vertical plane with the controller for each link acting independently. The basic result of the paper is to show that stability and iterative precision of the learning controllers for all subsystems when the coupling between subsystems is turned off, assures stability of the decentralized teaming in the coupled system, provided that the sample time in the digital teaming controller is sufficiently short. The methods of teaming system are shown up for the iterative precision of each link.

• Journal of the Korean Society for Precision Engineering
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• v.22 no.4
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• pp.92-98
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• 2005

The learning control develops controllers that learn to improve their performance at executing a given task, based on experience performing this specific task. In a previous work, the authors presented an iterative precision of linear decentralized learning control based on p-integrated learning method for the vertical dynamic multiple systems. This paper develops an indirect decentralized teaming control based on adaptive control method. The original motivation of the teaming control field was loaming in robots doing repetitive tasks such as on an assembly line. This paper starts with decentralized discrete time systems, and progresses to the robot application, modeling the robot as a time varying linear system in the neighborhood of the nominal trajectory, and using the usual robot controllers that are decentralized, treating each link as if it is independent of any coupling with other links. Some techniques will show up in the numerical simulation for vertical dynamic robot. The methods of learning system are shown up for the iterative precision of each link.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.39 no.12
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• pp.1213-1220
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• 2015

A deep seabed integrated mining system consists of a mining vessel, a lifting pipe, a buffer station, a flexible pipe, and a mining robot for collecting manganese nodules. Recently, the concept of multiple mining robots was introduced to enhance to mining productivity. In this paper, the subsystem synthesis method was applied to the deep seabed integrated mining system in order to improve the efficiency of system analysis and to facilitate its extension to the system of multiple mining robots. Large deflections of the lifting and flexible pipe were considered by dividing a flexible pipe into several substructures, and applying flexible multibody dynamics to each substructure. Theoretical study has been carried out for the efficiency of the subsystem synthesis method for the integrated mining system, by comparing the arithmetic operational counts of the subsystem synthesis method with those of the conventional method.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2006.05a
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• pp.211-217
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• 2006

The learning control develops controllers that learn to improve their performance at executing a given task, based on experience performing this specific task. In a previous work, the authors presented an iterative precision of linear decentralized learning control based on p-integrated learning method for the vertical dynamic multiple systems. This paper develops an indirect decentralized learning control based on adaptive control method. The original motivation of the teaming control field was teaming in robots doing repetitive tasks such as on an assembly line. This paper starts with decentralized discrete time systems, and progresses to the robot application, modeling the robot as a time varying linear system in the neighborhood of the nominal trajectory, and using the usual robot controllers that are decentralized, treating each link as if it is independent of any coupling with other links. Error wave propagation method will show up in the numerical simulation for five-bar linkage as a vertical dynamic robot. The methods of learning system are shown up for the iterative precision of each link at each time step in repetition domain. Those can be helped to apply to the vertical multiple dynamic systems for precision quality assurance in the industrial robots and medical equipments.

• Journal of Korea Society of Industrial Information Systems
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• v.11 no.2
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• pp.40-47
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• 2006

The learning control develops controllers that learn to improve their performance at executing a given task, based on experience performing this specific task. In a previous work the authors presented an iterative precision of linear decentralized learning control based on p-integrated teaming method for the vertical dynamic multiple systems. This paper develops an indirect decentralized learning control based on adaptive control method. The original motivation of the loaming control field was learning in robots doing repetitive tasks such as on a]1 assembly line. This paper starts with decentralized discrete time systems, and progresses to the robot application, modeling the robot as a time varying linear system in the neighborhood of the nominal trajectory, and using the usual robot controllers that are decentralized, treating each link as if it is independent of any coupling with other links. Error wave propagation method will show up in the numerical simulation for five-bar linkage as a vertical dynamic robot. The methods of learning system are shown up for the iterative precision of each link at each time step in repetition domain. Those can be helped to apply to the vertical multiple dynamic systems for precision quality assurance in the industrial robots and medical equipments.

• Transactions of the Korean Society of Automotive Engineers
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• v.2 no.4
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• pp.80-90
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• 1994

Basic constraint equations derived from orthogonality conditions between a pair of body-fixed vectors and a body-fixed vector or a vector between two bodies are reformulated by using relative coordinate kinematics between two adjacent reference frames. Arithmetic numbers of operations required to compute derivatives of the constraint equations are drastically reduced. A mixed formulation of relative and cartesian coordinates is developed to further simplify derivatives of the constraints. Advantages and disadvantages of the new formulation are discussed. Possible singularity problem of para llelism constraints is resolved by introducing an extra generalized coordinate. Kinematic analysis of a McPherson strut suspension system are carried out to illustrate use and efficiency of the new formulation.

• Proceedings of the Korean Institute of Surface Engineering Conference
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• 2018.06a
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• pp.46-46
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• 2018

메모리 소자의 수요가 데스크톱 컴퓨터의 정체와 모바일 기기의 폭발적인 증가로 NAND flash 메모리의 고집적화로 이어져서 3차원 집적 기술의 고도화가 중요한 요소가 되고 있다. 1 mm 정도의 얇은 웨이퍼 상에 만들어지는 메모리 소자는 실제 두께는 몇 마이크로미터 되지 않는다. 수직방향으로 여러 장의 웨이퍼를 연결하면 폭 방향으로 이미 거의 한계에 도달해있는 크기 축소(shrinking) 기술에 의지 하지 않고서도 메모리 소자의 용량을 증대 시킬 수 있다. CPU, AP등의 논리 연산 소자의 경우에는 발열 문제로 3D stacking 기술의 구현이 쉽지 않지만 메모리 소자의 경우에는 저 전력화를 통해서 실용화가 시작되었다. 스마트폰, 휴대용 보조 저장 매체(USB memory, SSD)등에 수 십 GB의 용량이 보편적인 현재, FEOL, BEOL 기술을 모두 가지고 있는 국내의 반도체 소자 업체들은 자연스럽게 TSV 기술과 이에 필요한 장비의 개발에 관심을 가지게 되었다. 특히 이 중 TSV용 스퍼터링 장치는 transistor의 main contact 공정에 전 세계 시장의 90% 이상을 점유하고 있는 글로벌 업체의 경우에도 완전히 만족스러운 장비를 공급하지는 못하고 있는 상태여서 연구 개발의 적절한 시기이다. 기본 개념은 일반적인 마그네트론 스퍼터링이 중성 입자를 타겟 표면에서 발생시키는데 이를 다시 추가적인 전력 공급으로 전자 - 중성 충돌로 인한 이온화 과정을 추가하고 여기서 발생된 타겟 이온들을 웨이퍼의 표면에 최대한 수직 방향으로 입사시키려는 노력이 핵심이다. 본 발표에서는 고전력 이온화 스퍼터링 시스템의 자기장 해석, 냉각 효율 해석, 멀티 모듈 회전 자석 음극에 대한 동역학적 분석 결과를 발표한다. 그림1에는 이중 회전 모듈에 대한 다물체 동역학 해석을 Adams s/w package로 해석하기 위하여 작성한 모델이고 그림2는 180도 회전한 서브 모듈의 위상이 음극 냉각에 미치는 효과를 CFD-ACE+로 유동 해석한 결과를 나타내고 있다.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.1966-1972
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• 2011

Optical flow estimation based on multi constraint approaches is frequently used for recognition of moving objects. This paper proposed the method to monitor passenger boarding using image processing when a train is operated based on Automatic Train Operation(ATO). The movement of passenger can be detected to compare two images, one is a basic image and another is immediately captured by CCTV. Optical Flow helps to find the movement of passenger when two images are compared. The movement of passenger is one of important informations for ATO system because it needs to decide door status.