• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.482-482
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• 2000

The essential requirements of neural network for human skill transfer are fast convergence, high storage capacity, and strong noise immunity. Bidirectional associative memory(BAM) suffering from low storage capacity and abundance of spurious memories is rarely used for skill transfer application though it has fast and wide association characteristics for visual data. This paper suggests generalization of classical BAM structure and new learning algorithm which uses supervised learning to guarantee perfect recall starting with correlation matrix. The generalization is validated to accelerate convergence speed, to increase storage capacity, to lessen spurious memories, to enhance noise immunity, and to enable multiple association using simulation work.

• 제어로봇시스템학회:학술대회논문집
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• 1992.10b
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• pp.124-129
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• 1992

The goal of the proposed Intelligent Assisting System - IAS is to assist human operators in an intelligent way, while leaving decision and goal planning instances for the human. To realize the IAS the very important issue of manipulation skill identification and analysis has to be solved, which then is stored in a Skill Data Base. Using this data base the IAS is able to perform complex manipulations on the motion control level and to assist the human operator flexibly. We propose a model for manipulation skill based on the dynamics of the grip transformation matrix, which describes the dynamic transformation between object space and finger joint space. Interaction with a virtual world simulator allows the calculation and feedback of appropriate forces through controlled actuators of the sensor glove with 10 degrees-of-freedom. To solve the sensor glove calibration problem, we learn the nonlinear calibration mapping by an artificial neural network(ANN). In this paper we also describe the experimental system setup of the skill acquisition and transfer system as a first approach to the IAS. Some simple manipulation examples and simulation results show the feasibility of the proposed manipulation skill model.

• Journal of Information Technology Applications and Management
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• v.15 no.3
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• pp.209-225
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• 2008

The purpose of this study is to examine the relationship between IT human capability and knowledge transfer and the role of absorptive capacity between them. From the test of both measurement and structural model using Partial Least Squares (PLS), IT human capability is found to be significant to absorptive capacity and knowledge transfer. Absorptive capacity is also significantly related to knowledge transfer. The interesting result found in this study is that the path of absorptive capacity drawn from IT human capability to knowledge transfer is stronger than the direct relationship between IT human capability and knowledge transfer, indicating that absorptive capacity plays an important role in knowledge transfer. This result indicates that IT personnel with stronger technical skill, interpersonal skill and management capability are more likely to acquire and learn knowledge effectively from outside expertise. Moreover, this study shows that absorptive capacity, the individual’s ability to utilize external knowledge is derived from IT human capability and strongly effects on transferring knowledge from outsourcing vendors. This study suggests IT related managers that the development of IT human capability and absorptive capacity should be recognized for a successful exploitation of outside knowledge within a firm. It is also a necessary condition for a successful IT implementation and maintenance independently and economically from outside vendors.

• Journal of the Korean Society for Precision Engineering
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• v.15 no.9
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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.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.42.3-42
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• 2001

A human is an expert in manipulation. We have acquired skills to perform dexterous operations based upon knowledge and experience attained over a long period of time. It is important in robotics to understand these human skills, and utilize them to bring about better robot control and operation It is hoped that the neurocontroller can be trained and organized by simply presenting human teaching data, which implicate human intention, strategy and expertise. In designing a neurocontroller, we must determine the size of neurocontroller. Improper size may not only incur difficulties in training neural nets, e.g. no convergence, but also cause instability and erratic behavior in machines. Therefore, it is necessary to determine the proper size of neurocontroller for human control transfer. In this paper, a new pruning method is developed, based on the penalty-term methods. This method makes ...

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1995.10a
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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.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.34 no.1
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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.

• Journal of Information Technology Services
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• v.13 no.2
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• pp.55-69
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• 2014

As Korea's global IT sourcing is sluggish and supply of qualified IT personnel does not meet the demand, IT developers currently do not worry about their job security. The sluggish global sourcing is attributed to the lack of system design and analysis skills as well as lack of communication skills of IT personnel. Most of big Korean IT service firms operate in captive market. This is also attributed to the cause of the sluggish global sourcing. Some IT managers, especially in global IT service firms, concerned about the negative long term effect of the sluggish global sourcing on competitiveness and human infra capability of Korea's IT service industry. Managers in IT service firms expect skill requirement changes in the future when global sourcing becomes active. The skills and knowledge that they wish to retain in-house is business knowledge, system analysis and design knowledge, customer relation management skills, project management skills and industry knowledge. The jobs with the above knowledge usually involve customers.

• Korean journal of food and cookery science
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• v.16 no.2
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• pp.143-150
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• 2000

A survey was carried out from 143 cooks working at the deluxe hotels in Seoul to obtain the information on the working environment, characteristics, and the satisfaction of the cooks to improve the culinary art training program and the working environment. The results were as follows: Most of the cooks(58.7%) worked for 8-9 hours/day and 51.7% of the cooks earned 1-1.5 million won in a month. The cooks had average 1.6 licenses per person, however, their licenses accorded with their work place only with 85.3%. Subjects were unsatisfied with the pay(55.2%), but 42.7% of the cooks hoped to work in their current work place. If they could transfer to other work place, they wished to run a restaurant of their own. The unsatisfaction rate was high among the cooks worked for 10-15 years, and 19.2% of them was unsatisfied with the environment of work place and 11.5% was in promotion. The longer the working period of the cook, the higher the recognition of the culinary skill. Also, the more frequently transfer to other places, the higher the self-estimation in their skills. Subjects answered that the most important factors for good cooking are the good taste and hygiene. The quality of ingredients was recognized more important among the cooks worked for longer period. The greatest hindrance for the improvement of cooking skill was indicated as insufficient knowledge among the cooks worked under one year, lack of confidence among those worked for 2-5 years, and authoritarianism of seniors for 6-15 years. They answered that the most important qualification for cook is the sincere attitude. The cooks with under 5 years of experience indicated experience and studying attitude and the ones with over 6 years of experience culinary skill as the important factors for cooks. The important factors for promotion was pointed out as culinary skill and human relationship.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.58 no.3
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• pp.276-284
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• 2009

In this paper, we develop the image transfer remote maintenance monitoring system for hand held device which can compensate defects of human mistake. The human mistakes always happen when the worker communicate information each other to check and maintenance the equipment of the power plant under bad circumstance such as small place and long distance in power plant. A worker couldn't converse with other when in noisy place like Power plant. So, we make some hand device for handy size and able to converse in noisy place. The developed system can have improvement of productivity through increasing plant operation time. And developed system is composed of advanced H/W(hard ware) system and S/W(soft ware)system. The H/W system consist of media server unit, communication equipment with hand held device, portable camera, mike and head set. The advanced s/w system consist of data base system, client pc(personal computer) real time monitoring system which has server GUI(graphic user interface) program, wireless monitoring program and wire ethernet communication program. The client GUI program is composed of total solution program as pc camera program, and phonetic conversation program etc.. We analyzed the required items and investigated applicable part in the image transfer remote maintenance monitoring system with hand held device. Also we investigated linkage of communication protocol for developed prototype, developed software tool of two-way communication and realtime recording skill of voice with image. We confirmed the efficiency by the field test in preventive maintenance of plant power.