• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1996년도 춘계학술대회 논문집
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• pp.685-688
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• 1996

In debureing process. Human experts who have long experenc in performing deburring tasks can manipulate tools efficiently and adapt the tool motions according to the state of the process based on their skills. However, human experts have difficulties in describing linguistically their control schemes and strategies because teey don't aware the detailed process in interpreting wensory information and adapting tool motion. Therefore, it is important to develop a mean of understanding the skills and acquiring the control schemes so that the robot can perform the same skillful motion as the human experts. In this paper, an expert's skill model is developed so that it can be transferred effectively from the expertt to the robot. Skills are represented by a mapping which is generated by using a neural network. Expert's skill shows that the robot is able to associate a correct control strategy with process characteristics which is acquired from a vision image in a similar manner to a human expert's

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1995년도 추계학술대회 논문집
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• pp.1110-1113
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• 1995

This study presents the new method which can transfer the expert's skill to deburring robot through neural network. The expert's skill is expressed as associationmapping between the characteristics of the burr and human expert's action. Under the fundamental idea that the state of the deburring processcan be extracted via the visual sense of the human,we employ vision system for the perception and identification of the changing burr. Form the demonstration of human experts, force data are measured. Finally the characteristics of the burr and coressponding force are associated by the neural network which is trained through many demonstrations. The proposed method is verified in the deburring process of welding burr.

• 한국정밀공학회지
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• 제15권9호
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• pp.93-100
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• 1998

This study presents the new method which can transfer the expert's skill to deburring robot through neural network. The expert's skill is expressed as association mapping between the characteristics of the burr and human expert's action. Under the fundamental idea that the state of the deburring process can be extracted via the visual sense of the human, we employ vision system for the perception and identification of the changing burr. From the demonstration of human experts, force data are measured. Finally the characteristics of the burr and corresponding force are associated by the neural network which is trained through many demonstrations. The proposed method is verified in the deburring process of welding burr.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1994년도 추계학술대회 논문집
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• pp.553-558
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• 1994

In this paper, we present a new approach for the automation of deburring process. An algorithm for teaching skills of a human expert to a robot manipulator is developed. This approach makes use of TSK fuzzy model that can express a highly nonlinear functional relation with small number of rules. Burr features such as height, width, area, cutting area are extracted from image processing by use of the vision system. Cutting depth, repeative number and normal cutting force are chosen as control signals representing actions of the human expert. It is verified that our processed fuzzy model can accurately express the skills of human experts for the deburring process.

• 무역상무연구
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• 제47권
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• pp.403-428
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• 2010

Our country's sustainable trade growth fundamentally depends on the supply of excellent labors called global trade expert. He or she is required several knowledge and skills not only trade, marketing, information technology, foreign languages but also global mind. Universities have to supply excellent global trade expert to companies according to needs and wants. The object of this paper is to propose some ideas for training of global trade expert of Korea university under global trade environment. First, global companies prefer labors who have not only some skills about specialty and communication skill but also personality on passion, creativity, leadership and so on. Second, The university's curriculum needs to improved in terms of "convergence" and "specialty". In nature, trade major treats lots of subjects such as trade, business adminstration, economics, international law, international commerce, logistics, marketing, etc to catch up changing global business circumstances and companies' needs. Therefore convergence of adjacent field is very important in study and training. Finally, Universities need to use field-specialist to supplement of trade working experience as instructors and practitioners. The concept of convergence and specialty is not separated but harmonious each other.

• 한국정밀공학회지
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• 제12권6호
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• pp.37-44
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• 1995

Grinding is used for machining high precision parts with high additional value. However, the grinding operation needs high skill and long experience of an operator because of a lack of the scientific knowledge and engineering principles. Also, the wheel and grinding conditions affect grinding results. For these reasons, it is difficult to construct computer integrated manufacturing system(CIMA). Therefore, it is necessary for Expert System to be informed of qualitative knowledge of grinding expert's skills and experiences. In this research, the Grinding Expert System is constructed by Fuzzy Decision Making Algorithm. Using this system, unskilled workers will be able to use the knowledge and experience of an expert.

• 실천공학교육논문지
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• 제15권1호
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• pp.143-154
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• 2023

본 연구의 목적은 기존 「근로자직업능력개발법」이 「국민 평생 직업능력 개발법」으로 개정되면서 직업능력개발의 지원대상과 직업능력개발훈련의 범위가 확대됨에 따라, 스마트직업훈련플랫폼(STEP)이 맞춤형 평생직업능력개발을 위해 지향해야 하는 공공 온라인 플랫폼으로서의 역할과 기능을 제시하는 것이다. 이를 위해 국내 공공 온라인 플랫폼 서비스 사례연구, 전문가 FGI 등을 바탕으로 STEP의 공공서비스 역할과 기능을 도출하였고, 이에 대한 전문가 검증회의를 진행하였다. 이를 바탕으로 STEP의 공공 온라인 플랫폼으로서의 역할과 기능에 대한 시사점을 제시하였다.

• 수산해양기술연구
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• 제34권1호
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• pp.1-5
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• 1998

This study presents intelligent deburring system which can transfer the exper's skill to deburring robot through neural network. The expert's skill is expressed as associate mapping between the characteristics of the burr and human expert's action. Under the fundamental idea that the state of the deburring process can be extracted via the visual sense of the human, we employ vision system for the perception and identification of the changing burr. From the demonstration of human experts, force data are measured and fitted impedance model. Finally the characteristics of the burr and coressponding force are associated by the neural network which is trained through many demonstrations. The proposed method is verified in the deburring process of welding burr.

• Asia-Pacific Journal of Atmospheric Sciences
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• 제54권4호
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• pp.563-573
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• 2018

An Expert Seasonal Prediction System for operational Seasonal Outlook (ESPreSSO) is developed based on the APEC Climate Center (APCC) Multi-Model Ensemble (MME) dynamical prediction and expert-guided statistical downscaling techniques. Dynamical models have improved to provide meaningful seasonal prediction, and their prediction skills are further improved by various ensemble and downscaling techniques. However, experienced scientists and forecasters make subjective correction for the operational seasonal outlook due to limited prediction skills and biases of dynamical models. Here, a hybrid seasonal prediction system that grafts experts' knowledge and understanding onto dynamical MME prediction is developed to guide operational seasonal outlook in Korea. The basis dynamical prediction is based on the APCC MME, which are statistically mapped onto the station-based observations by experienced experts. Their subjective selection undergoes objective screening and quality control to generate final seasonal outlook products after physical ensemble averaging. The prediction system is constructed based on 23-year training period of 1983-2005, and its performance and stability are assessed for the independent 11-year prediction period of 2006-2016. The results show that the ESPreSSO has reliable and stable prediction skill suitable for operational use.

• 경영정보학연구
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• 제4권2호
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• pp.343-360
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• 2002

IS 프로젝트 성공요인의 하나로서 프로젝트 관리자는 항상 관심의 대상이 되어왔다. 본 연구는 IS 프로젝트 관리자가 갖추어야 될 지식과 기술이 무엇이며, 그러한 기술을 위하여 어떠한 경력개발 경로가 필요한지를 알아보고자 하는 것이다. 프로젝트 관리자에게 필요한 지식과 기술은 기업의 경영전략을 이해하고 IS 전략계획으로 연결하는 능력, 전사적 업무기능을 이해해야 하는 현업 업무력, 새로운 업무를 위한 혁신, 프로젝트 계획과 통제와 같은 일반관리, 의사소통과 리더십과 관련된 인간관계의 관리력, IS 개발에 관련된 기술적 전문성 등의 6 가지로 밝혔다. IS 프로젝트 관리자를 양성하기 위한 경력개발 경로로는 엔지니어, 분석가, 기획가, 프로젝트 리더 등을 거치면서 프로젝트 관리자로 성장하게 되는 모형을 제시하였다. 이러한 연구는 우수한 프로젝트 관리자를 양성하여 IS 프로젝트의 성공 확률을 높이고, 나아가 정보산업의 경쟁력 제고에 도움이 되는 방안을 모색하게 해 줄 것이다.