• Journal of Engineering Education Research
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• v.15 no.5
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• pp.125-130
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• 2012

This study proposes content and instruction of leadership education based on the results of evaluation and analysis of leadership skill of present levels of students who registered for 'leadership development and training' course which is liberal arts elective course of the 'Accreditation Board of Engineering Education in Korea' and provides best practices to develop leadership skill and to attain academic achievement 2, 4, 6, 7 of 12 academic achievement required by KEC2005. To accomplish a purpose of the study, I divide leadership skill into technical skill, human skill and conceptual skill that suggested by Katz and then measure students' leadership skill. The contents of leadership education to develop and enforce three leadership skills are as follows. First, for developing technical skill, there is a need for systematic education of basic working experience relevant to a major field of study. Second, for developing human skill, there is a need for education of leadership, motivation, conflict management, communication, group dynamics and presentation etc. Third, for developing conceptual skill, there is a need for education of founding vision, business strategy and creative idea etc.

• Journal of Engineering Education Research
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• v.19 no.6
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• pp.32-37
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• 2016

The purpose of this study is to extract a skill level of human resource in the field of science and technology. To accomplish the goal of this study, precedent research was conducted and then, the draft of skill level for Human Resource in the field of Science and Technology (HRST) was created by wrap-up meeting. The skill level of the HRST was finalized after confirming verification of 20 SMEs (Subject Matter Experts) from January to February 2016 by two times. The conclusions are as follows; First, the skill level of the HRST consists five categories. Each of the level has educational background, work experience, certification, duty, major and so on. Second, the contents of the skill level were found to be mostly valid.

• 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.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.1741-1744
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• 2005

In this paper, we proposed an adaptive skill element based on error signal. We assume that human progress their skills of actions based on errors, then an inverse dynamic of human motion have to changes. Human controller consists from feedback element (FB) and feed forward element (FF) and their elements cooperate to control actions. Under the assumption, we vary the connection of FF and FB by error signal. We propose the index function for change of a skill parameter. From results of the numerical simulations for the varying skill parameter with index function, we consider that the position error given by our vision changes the skill element and we confirm that the position error is the one of the estimate function for the improvement in our skill.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2006.11a
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• pp.133-137
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• 2006

Can examine cause that the construction industry is faced in crisis of skill exhaustion in two sides. One is the tribe of actuality production manpower by entry evasion and graying of young man class specially new manpower to the tribe of skill manpower. Another is qualitative decline of skill manpower. Generally, problem of the systematic knowledge tribe and the picking up tribe about new technology etc, exists because learn skill for shoulder beyond in spot. In cutting phenomenon of skill that is depended on personal relationships availability with skilled worker in hereafter, problem that worker who is old or enter through rain skilled worker does not learn all life skill is detected. These problems institute entry of young man class and necessity of systematic vocational education training specially new human strength strongly. This study does presentation of way to promote construction industry entry of young man class and improvement way of vocational education training system that can do to train these by function manpower by purpose.

• Journal of Information Technology Services
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• v.6 no.2
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• pp.81-97
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• 2007

Nowadays, IT becomes one of the core competencies in a business. So defining appropriate responsibilities & roles of IT human resources as well as setting the professionalism of them is getting more important. However, there are lots of problems between the supply and the demand of IT human resource. The efforts to arrange workers who have expert knowledge and skill in right place are needed to strengthen national competitiveness. Recently, several leading countries are setting IT skill standards to solve such problems. Therefore, this paper aims at analyzing IT skill standards of developed countries such as ITSS of Japan, SFIA of United Kingdom, and SSIT of USA. By doing comparative analysis of current status of Korea with them, we derive some meaningful insights to develop a national IT skill standard.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10a
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• pp.19-23
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• 1996

A full automatic interpretation of awake electroencephalogram (EEG) had been developed by the authors and presented at the past KACCs in series. The automatic EEG interpretation consists of four main parts: quantitative EEG interpretation, EEG report making, preprocessing of EEG data and adaptable EEG interpretation. The automatic EEG interpretation reveals essentially the same findings as the electroencephalographer's (EEG's), and then would be applicable in clinical use as an assistant tool for EEGer. The method had been developed through collaboration works between the engineering field (Saga University) and the medical field (Kyoto University). This work can be understood as an artificial realization of human expert skill. The procedure for the artificial realization was summarized in a methodology for artificial realization of human skill which will be applicable in other fields of systems control.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.1759-1764
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• 2005

Human Adaptive Mechatronics(HAM) is a new concept which was proposed in our university's research project sponsored by Japanese Ministry of Education, Sports, Culture, Science and Technology(MEXT), and is defined as "intelligent mechanical systems that adapt themselves to the user's skill under various environments, assist to improve the user's skill, and assist the human-machine system to achieve best performance". In this paper, the concept and key-items of HAM are mentioned. And the control strategy to realize a HAM human-machine system is explained in the case of physical-interface system, i.e. haptic system. The proposed assist-control of a force-feedback type haptic system includes online estimation of a operator's control characteristics, and a `force assist' function implemented as a change in the support ratio according to the identified skill level. We developed a HAM-haptic device test system, executed evaluation experiments with this apparatus, and analyzed the measured data. It was confirmed that the operator's skill could be estimated and that operator's performance was enhanced by the assist-control.

• Journal of Engineering Education Research
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• v.20 no.4
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• pp.12-20
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• 2017

This study aims to suggest implications on develop and operate NCS curriculum by analyzing of differences in perception and educational needs of university students, graduates, human resource managers(HR managers) on NCS basic job skill. The respondents of survey are composed of 533 university students in K university, 730 graduates and 106 HR managers. The major findings are as follows: first, the results showed that the importances of all competencies recognized by HR managers was higher than those of university students and graduates. And graduates perceived their level of competencies as higher than those of university students. Second, the needs for self-development skill, technical skill, and problem-solving skill was the highest within the students and graduates, meanwhile, the needs for the mathematical skill, resource management skill, and the organization understanding skill were low. In contrast, the results of this study showed that the HR managers has the high needs for self-development skill, communication skill and problem-solving skill. Also, HR managers has the low needs for mathematical skill, resource management skill, information skill, technical skill, organizational understanding skill, and job ethics. Based on the above results, we proposed the necessity to develop and apply the NCS curriculum considering the education needs recognized by current students, graduates, and HR managers.

• 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.