• 한국CDE학회논문집
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• 제9권2호
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• pp.148-157
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• 2004

Interactive simulators that simulate mechanical systems are being developed for the purpose of performance evaluation of product design, replacement of physical training, and entertainment game. Use of flight simulator is increasing to reduce risk and cost of physical training, and we need virtual environment which covers large area terrain. We need a method that can reduce development cost and construction time of virtual environment that simulate the real environment. There have been attempts to link GIS or remote sensing field with virtual reality. This paper examines a method that helps to construct virtual environment, and attempts to link geographic information with virtual reality. A construction method of virtual environment based on digital map and satellite image has been studied.

• 한국응급구조학회지
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• 제10권2호
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• pp.15-23
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• 2006

Simulators were introduced in education as a tool to make advanced training standardized, less expensive, and without danger to those involved. In 1922 in the Unites States, Edward Link presented his homemade flight simulator, which became common place in both military and civilian aviation, known as the "Link Trainer". The development of mannequin simulators used for education, training, and research is reviewed, tracing the motivations, evolution to commercial availability, and efforts toward assessment of efficacy of those for teaching cardiopulmonary resuscitation, cardiology skills, anaesthesia clinical skills, and crisis management. This will provide a brief overview of simulators and trainers in several domains.

• 대한산업공학회지
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• 제26권4호
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• pp.306-314
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• 2000

In this paper we present a new approach to estimate link travel speed based on the hybrid neuro-fuzzy network. It combines the fuzzy ART algorithm for structure learning and the backpropagation algorithm for parameter adaptation. At first, the fuzzy ART algorithm partitions the input/output space using the training data set in order to construct initial neuro-fuzzy inference network. After the initial network topology is completed, a backpropagation learning scheme is applied to optimize parameters of fuzzy membership functions. An initial neuro-fuzzy network can be applicable to any other link where the probe car data are available. This can be realized by the network adaptation and add/modify module. In the network adaptation module, a CBR(Case-Based Reasoning) approach is used. Various experiments show that proposed methodology has better performance for estimating link travel speed comparing to the existing method.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1989년도 한국자동제어학술회의논문집; Seoul, Korea; 27-28 Oct. 1989
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• pp.772-775
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• 1989

It is difficult to obtain a swinging-up control sequence of a one-link pendulum analytically or numerically. In this paper, we obtain a proper control sequence through manual control experiments. However, no proper control sequence will be obtained if the rotational velocity of the pendulum is fast for the human operator. To overcome such a disadvantage, we propose a method for training the operator by using a pendulum simulator.

• 공학교육연구
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• 제13권1호
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• pp.52-61
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• 2010

이 연구는 포장분야 교육과정과 자격시험의 연계 운영방안을 마련하는 것을 목적으로 한다. 구체적인 연구 목적은 첫째, 포장분야에 대한 직무체계를 마련하고, 둘째, 포장분야 교육과정과 연계한 자격시험 운영방안을 마련하고자 한다. 연구방법으로는 문헌연구, 전문가 협의회 등의 방법을 활용하였다. 포장 산업의 교육과정과 자격시험 연계 및 운영방안 마련의 기본방향은 포장 분야의 직무체계(Skills Framework)를 개발하고, 직무체계에 근거하여 직무분야별 국가직무능력표준은 개발하고, 이에 근거하여 교육과정을 개발 운영하고 자격시험에 활용할 수 있을 것이다.

• 한국콘텐츠학회논문지
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• 제19권8호
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• pp.1-9
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• 2019

본 연구는 지방자치단체 무기계약직의 평가관리가 성과에 미치는 영향을 실증적으로 분석하였다. 이와 더불어, 교육훈련이 평가관리와 성과의 관계에서 유의미한 조절효과가 있는지를 검증하였다. 분석 결과, 무기계약직의 평가관리는 성과관리에 긍정적이며 유의미한 영향을 미치는 것으로 확인되었다. 또한, 조절효과의 크기는 작지만, 교육훈련은 평가관리와 성과의 관계에 있어 유의미한 조절효과를 가지는 것으로 나타났다. 본 연구는 지방자치단체 무기계약직을 대상으로 인사관리의 구성요소들 간의 양적관계를 검증함으로써 무기계약직 선행연구들의 연구 범위 및 영역의 확장과 후속연구 수행의 활성화에 기여할 수 있다고 판단된다. 또한, 본 연구는 무기계약직의 인사관리를 담당하는 공무원과 조직이 보다 실질적이고 합리적인 무기계약직을 위한 인사관리 지침 및 방안을 구축하는 것에 활용될 수 있을 것이다.

• The Journal of Asian Finance, Economics and Business
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• 제7권11호
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• pp.1021-1031
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• 2020

This study aims to invest in empirical relationships in a model that becomes the process of Team-Performance due to participation in practical training through causality between Training Effectiveness variables, soft-skill competence, Employee-Creativity, and team performance. This study uses a quantitative approach. The analytical tool used is structural equation modeling (SEM) using AMOS version 23 software. Accidental sampling technique is used to collect the sample. As many as 202 respondents filled up a survey questionnaire with complete and valid answers. This study's results significantly contribute to fill the gap of inadequate empirical evidence that can answer critical questions about the missing link between training and employee-performance, more specifically between training-effectiveness and team-performance. The results showed that practical training would encourage employees' soft-skill competence, improve Employee-Creativity, and improve Team-Performance. Furthermore, training-effectiveness also plays a significant role in enhancing employee-creativity and helping in optimal team-performance. This study also found that the relationship between employee-creativity and team-performance did not show positive and significant results; therefore, empirically, it did not support the hypothesis built in this study. Practical training targeted towards increasing soft-skills and creativity is a fundamental reason which not only aims to contribute toward organizational performance but also provides personal feedback for self-development.

• 한국컴퓨터정보학회논문지
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• 제22권11호
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• pp.169-175
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• 2017

In this paper, we propose the elementary school teacher's training direction for effective SW education. In an effort to better understand the efficient SW training contents and methods for teachers, 200 of elementary teachers had been selected from different places in South Korea. The results showed that 1)it should be operated by focusing on the training of female teachers, especially, strengthening the contents of SW ethics. 2)It will need to actively operate the teacher training program to foster the necessary computational thinking and programing for elementary school teacher who work in big cities. 3)It need to create a training program for expanding the SW studying groups. 4)In order to improve the effectiveness of training courses in the development of in-service training programs, the SW ethics contents need to be coordinated with the link the computational thinking and programing. These results are expected to provide the efficient methods to design the future SW training programs.

• ETRI Journal
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• 제32권1호
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• pp.160-162
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• 2010

For the acoustic models of embedded speech recognition systems, hidden Markov models (HMMs) are usually quantized and the original full space distributions are represented by combinations of a few quantized distribution prototypes. We propose a maximum likelihood objective function to train the quantized distribution prototypes. The experimental results show that the new training algorithm and the link structure adaptation scheme for the quantized HMMs reduce the word recognition error rate by 20.0%.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제5권1호
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• pp.141-156
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• 2011

In this paper we develop a link cost function for data delivery in sensor network. Usually most conventional methods determine the optimal coefficients in the cost function without considering the surrounding environment of the node such as the wireless propagation environment or the topological environment. Due to this reason, there are limitations to improve the quality of data delivery such as data delivery ratio and delay of data delivery. To solve this problem, we derive a new cost function using the concept of Partially Connected Neural Network (PCNN) which is modeled according to the input types whether inputs are correlated or uncorrelated. The correlated inputs are connected to the hidden layer of the PCNN in a coupled fashion but the uncoupled inputs are in an uncoupled fashion. We also propose the training technique for finding an optimal weight vector in the link cost function. The link cost function is trained to the direction that the packet transmission success ratio of each node maximizes. In the experimental section, we show that our method outperforms other conventional methods in terms of the quality of data delivery and the energy efficiency.