• 한국정밀공학회지
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• 제10권3호
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• pp.175-181
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• 1993

In this paper, a practical method to generate task strategies applicable to chamferless and high-precision assembly, is proposed. The difficulties in devising reliable assembly strategies result from various forms of uncertainty such as imperfect knowledge on the parts being assembled and functional limitations of the assembly devices. In approach to cope with these problems, the robot is provided with the capability of learning the corrective motion in response to the force signal trrough iterative task execution. The strategy is realized by adopting a learning algorithm and represented in a binary tree type database. To verify the effectiveness of the proposed algorithm, a series of simulations and experiments are carried out under assimilated real production environments. The results show that the sensory signal-to-robot action mapping can be acquired effectively and, consequently, the chamferless assembly can be performed successfully.

• 통상정보연구
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• 제12권2호
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• pp.161-182
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• 2010

This study tried to analyzed the relationship between market orientation, localization and performance in order to suggest to a methodology for performance 7hypothesis were constructed for analysis based on previous literature review. The results of empirical analysis shows that market orientation gave significant effect on firm's performance and localization. Localization also positively related to firm's performance. These result explains that firms which try to take superior of performance must build high level of market orientation should be realized and reacted the complicated market situation. such as consumer needs, competitor's action, change of technology and provider's action, etc. For this, management of uncertainty should be required through the high level of information-oriented.

• 대한안전경영과학회지
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• 제6권2호
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• pp.177-186
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• 2004

Decision analysis has becomes an important technique for decision making in the face of uncertainty. It is characterized by enumerating all the available courses of action, identifying the payoffs for all possible outcomes, and quantifying the subjective probabilities for the all possible random events. When the data are available, decision analysis becomes a powerful tool for determining an optimal course of action. We study the multi-attribute decision making in a compensatory models. In this paper, we use the entropy methods in weights calculating. For the purpose of making optimal decision, the data of five different car models are used. For computing, we used Visual Numerica Version 1.0 software package.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2009년도 춘계 학술대회 제21권1호
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• pp.337-338
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• 2009

본 연구는 마이크로파 가열기술 및 마찰 마쇄 작용에 의한 순환잔골재 표면에 고착되어 있는 시멘트 페이스트를 효율적으로 분리, 제거함으로써 구조체 콘크리트용 고품질 순환잔골재를 생산하는데 그 목적을 두었다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 하계학술대회 논문집 B
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• pp.791-793
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• 1999

In this paper, neural network-supervisory control method is proposed to minimize the effect of system uncertainty by load change and disturbance in the PID control system. In the proposed method, PID controller performs main control action by performing control within constraint error. And neural network-supervisory controller performs control action when error reaches the boundary of constraint error. Combining neural network-supervisory controller to guarantee the stability into PID control system, the resulting PID control system is expected to show better performance in the system with load change and disturbance. Simulation applying PID controller and neural network-supervisory controller showed excellence of proposed method.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
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• pp.89-91
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• 2005

In this paper, we propose a robust visual feedback controller with integral action for tracking control of n-link robot manipulators in the presence of constant bounded parametric uncertainties. The proposed control input has robustness to the parametric uncertainty and reduces tracking error in the steady-state. The stability of the closed-loop system is shown by Lyapunov method. The effectiveness of the proposed method is shown by simulation results on the 5-link robot manipulators with two degree of freedom.

• International Journal of Reliability and Applications
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• 제2권1호
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• pp.37-48
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• 2001

This paper presents a new dynamic human reliability analysis method and its application for quantifying the human error probabilities in implementing management action. For comparisons of current HRA methods with the new method, the characteristics of THERP, HCR, and SLIM-MAUD, which are most frequency used method in PSAs, are discussed. The action associated with implementation of the cavity flooding during a station blackout sequence is considered for its application. This method is based on the concepts of the quantified correlation between the performance requirement and performance achievement. The MAAP 3.0B code and Latin Hypercube sampling technique are used to determine the uncertainty of the performance achievement parameter. Meanwhile, the value of the performance requirement parameter is obtained from interviews. Based on these stochastic obtained, human error probabilities are calculated with respect to the various means and variances of the things. It is shown that this method is very flexible in that it can be applied to any kind of the operator actions, including the actions associated with the implementation of accident management strategies.

• 한국보육지원학회지
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• 제9권5호
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• pp.5-35
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• 2013

본 연구는 유아교사로 살아가면서 교육대학원에 진학하여 현장연구를 실행해 본 유아교사 3인을 대상으로 심층 면담하여 그들의 경험을 드러내고 그 의미를 알아보고자 하였다. 현장연구의 실행과정은 그들의 현장에서 출발하였고, 연구주제, 자신의 관점과 맞는 적합한 연구방법을 고려하게 되며, 현장 속으로 다시 들어가게 된다. 익숙하게 느껴졌던 현장은 예상치 못한 반응에 낯설게 느껴지기도 하고 연구과정의 불확실성으로 불안하기도 했지만 점차 연구의 탄력을 더하여 드디어는 해냈다는 희열을 맛보게 되었다. 이러한 경험을 통해 자신을 돌아보고 집중과 열정을 통해 타성에서 벗어날 수 있는 기회를 갖게 되었다. 또한 일상을 의미있게 하는 기록의 중요성을 깨닫고, 실패가 아닌 새로운 출발로서의 과정의 소중함을 느꼈으며, 폭넓은 관점으로 스스로 의미를 부여하려 노력하였다. 그리고 실행연구자적 삶을 살아가고 있는 자신을 발견하였다. 본 연구를 통해 현장교사들이 충분히 연구자가 될 수 있음과 교사 자신이 이를 자각해나가는 것이 필요함도 확인할 수 있었다.

• 한국환경복원기술학회지
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• 제18권6호
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• pp.85-95
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• 2015

Recent years, nationwide projects for ecological restoration are implemented with emerging issues on the stream ecosystem. In order to enhance effectiveness of the ecosystem restoration and reduce negative impact, the appraisal of effectiveness through the follow-up monitoring and the adaptive management process are executed in consecutive phase. In this study, planning phase, monitoring and adaptive management in Hakui stream which is part of An Yang stream restoration project is introduced as representative ongoing case of effective adaptive management. The aim of this study is to verify the adaptive management process and suggest direction of effective restoration. Restoration project of Hakui stream resulted in increasing number and diversity of species (vegetation, fish, bird, invertbrates, amphibian and reptilia) according to monitoring from 2004 to 2013, and enhancing natural river landscape by evaluation of river naturalness among 2001(before restoration), 2007 (after), 2015 (recent). However, excessive vegetation expansion or sediment deposition on channel over time caused unexpected results such as terrestrialization or degradation of habitats. Adaptive management action such as removing disturbance species (Humulus japonicus)(2007), coppicing willow (2007), release of march snail (2007), creation of wetland (2014) were implemented based on monitoring results. And then appraisal of management action was discussed.

• 한국지구과학회지
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• 제28권5호
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• pp.635-642
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• 2007

Using data from 132 telephone interviewees, we examined the role of affective-cognitive ambivalence in forming overall attitude and behavior toward toxic chemical and radioactive waste issues in Marion, Ohio in the U.S. In order to compare attitudinal preference, participants were divided into four A-C groups: action-group (Affective+/Cognitive+), detached-group (A-/C+), concerned-group (A+/C-), and inaction-group (A-/C-). Affective and cognitive components interacted, producing redundant influences on overall attitudes and judgments as frequently observed and postulated in previous attitude studies. The results showed that the action-group who were feeling unsafe and believed that environmental accidents had happened or are happening in Marion were less willing to move to the area than other three groups who were feeling safe and/or doubted reports of contamination and its relation with leukemia. Affective and cognitive components were found to have redundant influences on overall attitude. It was also observed that affective-cognitive ambivalence theory has a great potential for explaining the mechanism by which people form attitudes, especially when people have moderate or positive feelings (e.g. sympathy or eagerness for resources) toward the objects and/or when uncertainty is a major feature of environmental issue under consideration (e.g. global climate change).