• Proceedings of the Korean Information Science Society Conference
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• 1998.10c
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• pp.360-362
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• 1998

In the original mixtures of experts framework, the parameters of the network are determined by gradient descent, which is naturally slow. In [2], the Expectation-Maximization(EM) algorithm is used instead, to obtain the network parameters, resulting in substantially reduced training times. This paper presents the new EM algorithm for prediction. We show that an Efficient training algorithm may be derived for the HME network. To verify the utility of the algorithm we look at specific examples in time series prediction. The application of the new EM algorithm to time series prediction has been quiet successful.

• Journal of Engineering Education Research
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• v.17 no.3
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• pp.42-50
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• 2014

Since internships or field training provide students with opportunities to choose skills, business interests and aptitudes in the actual workplace, their significant role in higher education has been gradually emphasized. In particular, engineering students gain increased adaptability to the industry, enhance their research abilities and acquire field-based expertise through internships or field training. However, effective operation of such internships or field training often pose various limitations. In this regard, the development of a system to manage students properly is urgently required for the effective operation of internships or field training. Systematic management of a series of related information ranging from a survey on the demand for internships or field training, planning, development and operation of pre-training programs, student guidance through information sharing between universities and businesses, data-gathering with regard to students' difficulties and their requirements, to prospects for future employment. In line with these requirements, this study attempts to present a modeling scheme for the development of a student management system for use in internships or field training. Towards this end, a questionnaire survey is conducted with engineering professors, students and graduates, along with a review of related literature to identify the needs for system development. Based on the results, a model of the system will be proposed through expert consultation.

• Journal of the military operations research society of Korea
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• v.23 no.2
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• pp.120-134
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• 1997

This paper illustrates the process of developing and configuring the prototype computer-assisted analysis system named as Work-Expert for analyzing occupational stress. A Work-Expert was developed to allow the nonexperts or line manager to utilize the existing knowledge in the area of occupational stress estimation, and to provide intelligent and computer-aided problem solving. The purpose of the system development is for future prediction and problem solving. Creating preventive measures, such as early detection of stress, proper placement and promotion of employees, job enlargement, employee identification, employee involvement, communication, and training of managers will be possible by using this system effectively.

• Journal of Korean Institute of Industrial Engineers
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• v.12 no.2
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• pp.1-11
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• 1986

This study is concerned on computerized analysis of COG, torques and EMG amplitudes in weight-lifting motion. The results show that; (1) torques on major joints show a rather consistent relationship with respect to the sequence of four distinct motions in weight-lifting, (2) analysis of EMG amplitudes is a sensitive measure of both athlete's skill and his potential capability, and (3) range of COG variations can be used as indicator of motion stability, existence of undesirable posture, and target muscle for intensive training. A computerized routine, which includes analyses on COG, EMG and torque, is a scientific tool for coaching athletes. In addition, an Expert System which includes CAD routine was developed in order to promote better understanding for athletes and coaches.

• Journal of Korean Society of Water and Wastewater
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• v.20 no.3
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• pp.377-388
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• 2006

This paper is aimed to design for qualification structure and developing Vocational Education and Training Program of Water Treatment Plant Operator. Also job analysis was performed by the experts of education and related field though Developing A Curriculum(DACUM). The qualification structure and developing Vocational Education and Training Program of Water Treatment Plant Operator was designed and policy suggestions are made for the substantiality and activity to the government. This study is performed expert interview and job analysis The results are presented the summaries of job definitions, job models, areas of vocation activities, curriculum for education and training and guidelines for making questions in examinations.

• Journal of Fisheries and Marine Sciences Education
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• v.19 no.1
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• pp.150-160
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• 2007

The school system of fisheries high school was proper to specialist objective school system in order to training for expert human resource development.Training a field of human resources development from fisheries high school is fallow; fisheries production, seamen's training, ship engine and refrigerator, marine electronic telecommunication and information, fisheries foods production and fisheries foods production and distribution, fishery fisheries self-management, marine distribution, management and conservation of marine environment, safety and marine prevention of disasters, apparatus of marine development, under water area development.A new department opening and each department was revised toward to department name and department character. The unit-lesson hour of curriculum according to specialist objective school system of fisheries and marine highschool was revised. professional subject 98 unit-lesson hour(52%), normality subject 90 unit-lesson hour(48%), and educational activity of professional subject 10unit-lesson hour, total training activity 10 unit-lesson hour. And the special objective school system need to revise curriculum of 208 total unit-lesson hour.

• Archives of Plastic Surgery
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• v.41 no.3
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• pp.201-208
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• 2014

Microsurgery is a precise surgical skill that requires an extensive training period and the supervision of expert instructors. The classical training schemes in microsurgery have started with multiday experimental courses on the rat model. These courses have offered a low threat supervised high fidelity laboratory setting in which students can steadily and rapidly progress. This simulated environment allows students to make and recognise mistakes in microsurgery techniques and thus shifts any related risks of the early training period from the operating room to the lab. To achieve a high level of skill acquisition before beginning clinical practice, students are trained on a comprehensive set of exercises the rat model can uniquely provide, with progressive complexity as competency improves. This paper presents the utility of the classical rat model in three of the earliest microsurgery training centres and the new prospects that this versatile and expansive training model offers.

• Journal of the military operations research society of Korea
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• v.36 no.3
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• pp.83-93
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• 2010

In this paper, we propose a new expert system for close combat in military war game model for training. Simulation logic for damage assesment is one of the main simulation functions in military war game. In Changcho 21's model which is the war game model for Republic of Korea Army corps and division, the main function of close combat's damage assessment has not been calculated by Changcho 21's model, but by COBRA which was made by US Army and has been the expert system for close combat. Results which were calculated in COBRA were sent to Changcho 21's model through a cable network. And Changcho 21's model finally calculated the value of damage assessment with the results. In this paper, we develop an new expert system for close combat using decision tree. The experimental results show that the proposed expert system has similar performance to COBRA and has less computing complexity. And it can substitute for COBRA and be applicable to battlefield.

• Fire Science and Engineering
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• v.33 no.3
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• pp.128-137
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• 2019

The aim of this study was to suggest ways to improve the operation of the Incident Command System for an effective disaster response in the event of a major disaster. As a result of the study, at the 5% significance level, which affects the perception of the operation, the significant variables that influence the operation of the Incidence Command System were found to be securing the operating budget, cooperation of the related agencies, disaster resource support, and expert training. The relative influence of the variables on the operation of the Incident Command System was found to be in the order of expert training, cooperation of related organizations, disaster resource support, and securing of the operating budget.

• Journal of the Semiconductor & Display Technology
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• v.20 no.3
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• pp.65-70
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• 2021

According to the trend of increasingly sophisticated cyber threats, the need for technology research that can be applied to cyber security personnel management and training systems is constantly being raised not only overseas but also in Korea. Previously, the US and UK have already recognized the need and have been steadily conducting related research from the past. In the United States, by encouraging applications based on related research (NICE Cybersecurity Workforce Framework) and disclosing successful use cases to the outside, it is laying the groundwork for profiling cyber security experts. However in Korea, research on cyber security expert training and profiling is insufficient compared to other countries. Therefore, in this study, in order to create a system suitable for the domestic situation, research and analysis of cases in the United States and the United Kingdom were conducted over the past few years, and based on this, a prototype was produced for the study of profiling technology for domestic cyber security experts.