• 실천공학교육논문지
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• 제16권3_spc호
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• pp.367-377
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• 2024

본 연구는 직업훈련기관의 경영역량 제고를 위한 역량모델을 개발하고 교육요구의 우선순위를 도출하는 것을 목적으로 수행되었다. 직업훈련기관의 경영실태를 보면 영세하게 운영되는 경우가 많으며, 직업훈련기관 경영에 대한 교육 프로그램이 매우 부족한 상황이다. 본 연구에서는 현장에서의 요구도분석을 통해 직업훈련기관 기관장의 역량모델을 수립함으로써 국내 직업훈련기관장을 대상으로 한 경영관리 교육프로그램 개발에 활용될 수 있도록 하였다. 요구도분석을 위한 자료는 전국의 직업훈련기관을 대상으로 실시한 설문조사를 통해 수집하였다. 설문조사에서는 문헌에 기초한 잠정적 역량모델에 대하여 중요성과 현재수준을 5점 척도로 선택하도록 하였고, 설문조사 결과에서 중요도가 상대적으로 낮게 역량차원에 대해 삭제하는 작업을 하였다. 이를 통해 최종적으로 6개 역량(1.전략적 리더십, 2.변화관리, 3.마케팅, 4.인적자원관리, 5.교육훈련관리, 6.자원관리, 조직운영관리)과 26개 역량차원으로 구성된 직업훈련기관장 경영 역량모델을 수립하였다.

• 해양환경안전학회지
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• 제25권4호
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• pp.441-447
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• 2019

해사안전을 위한 비상대응훈련 및 해기교육기관의 안전교육은 정해진 시나리오와 교육내용을 기반으로 실시되기 때문에, 다양한 상황에 따른 인적오류 감소와 대응에는 한계가 있다. 이에 대한 개선 필요성이 요구되고 있으나, 기존 교육훈련에 대한 평가와 상황의 다양성 확보를 통한 대응능력 향상을 위한 방안은 부재하다. 본 연구는 비상대응훈련 개선을 위해 상황 다변성을 모델링할 수 있는 이론적 절차 분석기법을 제안한다. 선원과 시스템의 유기적 관계에 기반한 인적 및 시스템 이론적 절차 분석 모델(HSTPA)을 정의하고, 각 구성요소들이 발생시킬 수 있는 오류를 분석, 수직적 보고체계와 대응이 요구되는 화재대응 훈련 시나리오에 이를 적용하여 기존 훈련의 한계점을 식별하였다. 제안된 HSTPA 모델을 적용한 훈련 시나리오 고려요소의 세분화 및 점검은 비상대응훈련 및 교육에 있어 다양하고 현실적인 시나리오 생성과 피훈련자들의 상황판단 이해력 및 대응능력 향상에 도움이 될 것으로 판단된다.

• The Korean Journal of Physiology and Pharmacology
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• 제25권6호
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• pp.545-553
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• 2021

Fixed-dose combinations development requires pharmacokinetic drugdrug interaction (DDI) studies between active ingredients. For some drugs, pharmacokinetic properties such as long half-life or delayed distribution, make it difficult to conduct such clinical trials and to estimate the exact magnitude of DDI. In this study, the conventional (non-compartmental analysis and bioequivalence [BE]) and model-based analyses were compared for their performance to evaluate DDI using amlodipine as an example. Raw data without DDI or simulated data using pharmacokinetic models were compared to the data obtained after concomitant administration. Regardless of the methodology, all the results fell within the classical BE limit. It was shown that the model-based approach may be valid as the conventional approach and reduce the possibility of DDI overestimation. Several advantages (i.e., quantitative changes in parameters and precision of confidence interval) of the model-based approach were demonstrated, and possible application methods were proposed. Therefore, it is expected that the model-based analysis is appropriately utilized according to the situation and purpose.

• Nuclear Engineering and Technology
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• 제54권8호
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• pp.3027-3033
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• 2022

Background: In this study, various types of deep-learning models for predicting in vitro radiosensitivity from gene-expression profiling were compared. Methods: The clonogenic surviving fractions at 2 Gy from previous publications and microarray gene-expression data from the National Cancer Institute-60 cell lines were used to measure the radiosensitivity. Seven different prediction models including three distinct multi-layered perceptrons (MLP), four different convolutional neural networks (CNN) were compared. Folded cross-validation was applied to train and evaluate model performance. The criteria for correct prediction were absolute error < 0.02 or relative error < 10%. The models were compared in terms of prediction accuracy, training time per epoch, training fluctuations, and required calculation resources. Results: The strength of MLP-based models was their fast initial convergence and short training time per epoch. They represented significantly different prediction accuracy depending on the model configuration. The CNN-based models showed relatively high prediction accuracy, low training fluctuations, and a relatively small increase in the memory requirement as the model deepens. Conclusion: Our findings suggest that a CNN-based model with moderate depth would be appropriate when the prediction accuracy is important, and a shallow MLP-based model can be recommended when either the training resources or time are limited.

• Structural Engineering and Mechanics
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• 제90권2호
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• pp.189-208
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• 2024

Artificial intelligence is one of the efficient methods that can be developed to simulate nonlinear behavior and predict the response of building structures. In this regard, an adaptive method based on optimization algorithms is used to train the TSK model of the fuzzy inference system to estimate the seismic behavior of building structures based on analytical data. The optimization algorithm is implemented to determine the parameters of the TSK model based on the minimization of prediction error for the training data set. The adaptive training is designed on the feedback of the results of previous time steps, in which three training cases of 2, 5, and 10 previous time steps were used. The training data is collected from the results of nonlinear time history analysis under 100 ground motion records with different seismic properties. Also, 10 records were used to test the inference system. The performance of the proposed inference system is evaluated on two 3 and 20-story models of nonlinear steel moment frame. The results show that the inference system of the TSK model by combining the optimization method is an efficient computational method for predicting the response of nonlinear structures. Meanwhile, the multi-vers optimization (MVO) algorithm is more accurate in determining the optimal parameters of the TSK model. Also, the accuracy of the results increases significantly with increasing the number of previous steps.

• 한국항행학회논문지
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• 제22권3호
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• pp.189-197
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• 2018

우리나라는 국토 면적의 대부분이 산악 지역으로 이루어져 공항을 운영할 만한 지역, 즉 공항이나 비행장을 운영할 수 있는 개활지가 부족하여 공항 개발이 활발하지 못하였다. 하지만 현재와 같은 항공운송산업의 발달, 항공수요의 급증에 따른 환경 속에서, 안전하고 원활한 비행훈련을 위해 훈련용 비행장 인프라 구축은 더욱 적극 검토되어야 할 것으로 본다. 본 연구에서는 적정한 수준의 훈련 인프라 구축을 위해 국내 훈련비행장 운영실태 분석과 해외 훈련전용 비행장 사례를 검토하여 우리에게 필요한 훈련전용 비행인프라 구축시 적합한 표준 모델을 제시하고자 한다. 그리고 이를 통해 훈련비행 인프라의 적정 규모와 운영 효율성 부분에 대한 시사점을 제시하고자 한다.

• The Journal of Asian Finance, Economics and Business
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• 제10권1호
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• pp.169-179
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• 2023

This study aims to determine the factors that influence training programs in increasing entrepreneurial success as a new model for developing entrepreneurship training in a new era. It intended to provide a suggestion for building an entrepreneurship training model for Beginner Young Entrepreneurs (BYE) organized by the Ministry of Youth and Sports of Indonesia. The study used a quantitative method by collecting data through a Google form questionnaire distributed via the WhatsApp group. This study employs samples from 358 BYE training participants for 2017-2020, and data was processed using Amos SEM software to analyze factors that influence the success of entrepreneurship. The results showed that entrepreneurial motivation is a partial mediator in increasing the effect of training on its success by BYE participants. Furthermore, the key factor for increasing entrepreneurial motivation is challenging young people to start businesses. This study recommends that BYE program policymakers build a training model by considering many practical case studies to increase motivation as an important mediator in influencing entrepreneurial success. Meanwhile, to boost the morale of training participants, it is necessary to add significant real challenges for participants to start entrepreneurship. Moreover, future studies should add other independent variables, such as personality.

• 한국컴퓨터정보학회논문지
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• 제17권10호
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• pp.185-192
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• 2012

콜센터는 고객과의 접촉에 있어 비대면 채널에 의해 커뮤니케이션이 이루어지기 때문에 대면 접촉에 의한 것보다 더 많은 상담사의 능력을 요구한다. 이러한 상담사의 능력개발을 위해 콜센터들은 경력과 직무에 따라 다양한 교육훈련을 실시하고 있으며, 교육훈련의 성과로 상담품질이나 생산성 향상을 실현하고자 한다. 한편, 교육훈련에는 많은 시간과 예산이 투입되기 때문에 교육훈련의 평가를 통해 현업수행에 도움이 얼마나 되고 있는지 그 효과성이 파악되고 관리되어야 할 것이다. 지금까지의 교육훈련의 평가에 대한 연구들을 보면 만족도와 학습정도를 측정하거나 학습이 행동에 전이되는 정도를 측정하는 연구가 주류를 이루어 전체적인 평가모형에 관한 연구가 필요하다. 본 연구에서는 콜센터교육훈련의 효과성을 상담사들의 인식수준에서 Kirkpatrick의 4단계 평가모형을 반영하여 반응, 학습, 행위, 결과에 대한 각 단계별 평가기준 간에 어떠한 영향관계가 있는지 알아보고, 구조방정식 모델을 사용하여 전체적인 모형의 적합도를 살펴보았다, 또한 대안모형으로 반응요인과 행위요인의 직접적인 관계를 고려하여 연구모형과 대안모형의 구조모델 적합도를 비교 분석하였다.

• 한국항공운항학회지
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• 제31권1호
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• pp.68-78
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• 2023

This study aims to provide information necessary for developing a "Competency-Based Training and Evaluation Plan" for general aviation flight instructors in Korea. General aviation training experts designed a survey by selecting "Behavior Indicators" from the ICAO Flight Instructor Competency Model. This study analyses the importance of Behavioral Indicators, the level of instructor performance, and the training needs for flight instructors. According to the factor analysis, ICAO "Flight Instructor Competency Model" is found as a valid tool to measure general aviation flight instructor competencies. According to the training needs analysis, flight instructors training program needs to be improved on "Training Environment Management", "Teaching Method", and "Interaction" competencies. When compared with trainee group, flight instructors & examiners have a higher training demand for "Teaching & Learning Environment Management". This study suggests the flight instructor training program requires to be reorganized based on the competencies related to the flight instructor duties in the training environments.

• 수산해양기술연구
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• 제59권4호
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• pp.336-343
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• 2023

The aging fishery training vessels from the past have mostly been decommissioned, and many universities are introducing state-of-the-art large fishery training vessels. The purpose of these training vessels is to train marine professionals and above all, safety to prevent marine accidents should be of utmost priority as many students embark on the vessel. This study estimated the impact of the hydrodynamic interaction forces acting on the model vessel (fishery training vessel) from the bank when the vessel pass near the semi-circle bank wall in various conditions through the numerical calculation, especially concerning maneuvering motions of the vessel. For estimation, variables were mainly set as the size of the semi-circle shape, the lateral distance between the bank and the model vessel, and the depth near the bank. As a result, it was estimated that, in order for the model vessel to safely pass the semi-circle bank wall at a speed of 4 knots, the water depth to the vessel draft ratio should be 1.5 or more (approximately 8 m of water depth), and the lateral distance from the semi-circle bank wall should be 0.4 times the model vessel's length (L_pp) or more (a distance of 34 m or more). Under these conditions, it was expected that the model vessel would pass without significantly being affected by the bank wall.