• 대한치과기공학회지
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• 제41권2호
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• pp.137-146
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• 2019

Purpose: This research was to examine some 4-year dental technology students perceptions of field learning environment(FLE). Methods: This study was conducted from October 15th to November 30th, 2017. 163 copies were used as the final analysis data. We surveyed questionnaire 163 of some 4-year dental technology students. The collected data were analyzed using SPSS (Statistical Package for Social Science) 22.0 for windows, and frequency analysis, chi-square test analysis, and correlation analysis were performed. Results: Satisfaction of practicing educator 3.88, satisfaction of clinical practice 3.49, major satisfaction 3.34, and university life satisfaction 3.25. Factors influencing satisfaction with clinical practice were clinical practice place, number of clinical practice sites, work done in clinical practice, and difficulties (p < .05). There was a significant positive correlation between satisfaction with clinical practice and satisfaction with major (P < .05). Conclusion: The results of this study, we were able to check the current field learning environment(FLE) and actual condition of students. Through the investigation of the desired clinical practice, it is anticipated that it will be possible to provide a field learning environment suitable for the course of the field desired by the user.

• 대한안전경영과학회지
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• 제23권4호
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• pp.93-104
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• 2021

In this paper, we propose a method for diagnosing overload and working load of collaborative robots through performance analysis of machine learning algorithms. To this end, an experiment was conducted to perform pick & place operation while changing the payload weight of a cooperative robot with a payload capacity of 10 kg. In this experiment, motor torque, position, and speed data generated from the robot controller were collected, and as a result of t-test and f-test, different characteristics were found for each weight based on a payload of 10 kg. In addition, to predict overload and working load from the collected data, machine learning algorithms such as Neural Network, Decision Tree, Random Forest, and Gradient Boosting models were used for experiments. As a result of the experiment, the neural network with more than 99.6% of explanatory power showed the best performance in prediction and classification. The practical contribution of the proposed study is that it suggests a method to collect data required for analysis from the robot without attaching additional sensors to the collaborative robot and the usefulness of a machine learning algorithm for diagnosing robot overload and working load.

• 한국의류산업학회지
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• 제23권3호
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• pp.337-346
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• 2021

In the fourth industrial revolution, fashion students are expected to work with various technologies to show creativity. This study aimed to conduct project-based learning(PBL) in collaboration with industry experts to design and operate artificial intelligence(AI) in the practice subject of fashion curation through the industrial academic teaching method. We first looked at teaching methods and strategies incorporating PBL in various academic fields. Next, we analyzed fashion projects and fashion curation services applying AI. Then through the question-and-answer method and by consulting with industry experts, we developed a curriculum for AI fashion curation, applying PBL(fashion market and trend analysis; new styles and time, place, and occasion planning; AI machine learning data set production; curation model development; and evaluation) suitable for the university's educational environment, information technology company conditions, and fashion students. As part of a close cooperation system with the industry, we conducted a 15-week Fashion Project II (Capstone Design) course and evaluated the outcomes and student satisfaction with the course. Students were able to develop new style, and time, place, and occasion categories and to utilize strategies for AI fashion curation services reflecting the unique needs of Millennials and Generation Z. Students showed high satisfaction with the curriculum. Further, it was confirmed that the study successfully applied PBL in class using AI technology in fashion education.

• 디지털콘텐츠학회 논문지
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• 제18권4호
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• pp.631-639
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• 2017

기술공학 분야 직업훈련에서 체험, 실습 중심의 학습을 위한 가상훈련 콘텐츠 개발과 활용이 증가하고 있다. 가상훈련은 실제 장비, 작업 환경과 유사한 학습 환경에서 반복적으로 안전하게 교육이 가능하고, 이는 학습자들이 실제 작업 현장에서 장비를 구동하는 데에 도움이 된다는 장점을 가진다. 본 연구에서는 가상현실 기술을 활용하여 이론 학습과 다양한 상황에서의 실습이 가능한 "토탈스테이션과 GNSS를 이용한 측량" 콘텐츠를 개발하고, 이에 대한 사용자 경험을 탐색하고자 하였다. 사용자들은 본 콘텐츠에 높은 흥미와 몰입감, 인지된 학습 효과성, 만족도를 보였다.

• International Journal of Computer Science & Network Security
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• 제21권4호
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• pp.241-248
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• 2021

The article reviews the social media as an Internet phenomenon, determines their place and level of popularity in the society, as a result of which the social networks are a resource with perspective pedagogical potential. The analysis of social media from the point of view of studying a foreign language and the possibility of their usage as a learning medium has been carried out. The most widespread and popular platforms have been considered and, based on their capabilities in teaching all types of speech activities, the "Instagram", "Twitter", and "Facebook" Internet resources have been selected as the subject of the research. The system of tasks of teaching all types of speech activities and showing the advantages of the "Instagram", "Twitter", and "Facebook" platforms has been proposed and briefly reviewed.

• 한국치위생학회지
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• 제12권1호
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• pp.225-233
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• 2012

Objectives : This thesis aims to provide basic materials for exploring trends and operational strategy of the cyber training. To achieve study purpose, it analyzed the satisfaction of trainees in regard to the education of field training course of Cyber Oral Health Promotion Program, established and operated between 2007 and 2009. Methods : This study conducted questionnaire surveys after the completion of training to utilize the satisfaction level of 989 respondents among 1,310 employees of public institutions who completed the field training course of Cyber Oral Health Promotion Program. Results : Respondents showed satisfaction on the training course throughout three years in terms of satisfaction of instructional methods (screen characteristics, educational techniques, and so on) according to educational contents, the connection and realization of online education and service satisfaction, necessary for learning in association with educational guidance, offered to learners by a tutor and rapidity in questions and answers. A majority of respondents in all years answered that they participated in training program voluntarily for self-development and improvement in work ability, and they thought that the completion of course would be helpful to their current work and future work. In addition, cyber training program was primarily conducted in the working place by 72.5%, and the most difficult thing in cyber training was to combine work and learning by 60.6%. Conclusions : As shown in the results above, workers in public institutions were satisfied with cyber job training and it was evaluated that cyber job training would be helpful to performing their actual work. Therefore, it is needed to collect and evaluate more diverse requirements of trainees with regard to cyber job training, and the development and operation of job training program that reflects these results sufficiently is required.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권6호
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• pp.1877-1891
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• 2022

As a part of cloud computing technology, algorithms for cloud task scheduling place an important influence on the area of cloud computing in data centers. In our earlier work, we proposed DeepEnergyJS, which was designed based on the original version of the policy gradient and reinforcement learning algorithm. We verified its effectiveness through simulation experiments. In this study, we used the Proximal Policy Optimization (PPO) algorithm to update DeepEnergyJS to DeepEnergyJSV2.0. First, we verify the convergence of the PPO algorithm on the dataset of Alibaba Cluster Data V2018. Then we contrast it with reinforcement learning algorithm in terms of convergence rate, converged value, and stability. The results indicate that PPO performed better in training and test data sets compared with reinforcement learning algorithm, as well as other general heuristic algorithms, such as First Fit, Random, and Tetris. DeepEnergyJSV2.0 achieves better energy efficiency than DeepEnergyJS by about 7.814%.

• 한국안전학회지
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• 제33권5호
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• pp.177-185
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• 2018

The school space is a place for learning activities and community activities, and it is used as a shelter for various disasters. Recently, the frequency and magnitude of damages of school facilities due to various disasters are increasing, and similar accidents occur repeatedly every year, causing enormous damage to school classes. Furthermore, damage to school facilities will require considerable time and safety confirmation measures to restore disaster and normalize the class. In this regards, based on the questionnaire survey on the difficulties and improvement measures of the disaster recovery work of the school safety manager, we propose the application of in-kind compensation for damage to school facilities to ensure rapid disaster recovery, simplification of administrative procedures, and quality of restoration work.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2009년도 춘계 종합학술대회 논문집
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• pp.45-50
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• 2009

이러닝의 발전과 더불어 다양한 학습도구의 개발 그리고 이러닝 콘텐츠의 공동활용 등 이러닝을 통한 교류가 활발하게 이루어 지고 있다. 그러나 각각 LMS의 상호 연동을 고려하지 않고 개발되었기 때문에 이러닝 교류시 문제점이 나타나게 되었다. 특히 대학간 이러닝 교류는 학습자 정보교환 중심의 교류, 강의(교수자) 정보교환 중심의 교류 등 여러 가지가 있으나, 이들 모두 직접적인 연계가 이루어지지 않기 때문에 여러 가지로 문제점이 많이 나타났다. 이에 본 논문에서는 이러닝 교류의 사례를 분석하고, 문제점을 도출하여 효율적인 LMS 상호 연동에 대한 모형을 설계하여 제시하였다. 우선 먼저 학습에 가장 필요로 하는 학습요소 즉, 강좌개설정보, 강의정보, 사용자정보, 수강정보, 학습이력정보를 연동 데이터로 정의하였으며, 뷰를 이용한 데이터 연동 테이블을 통해 LMS를 연동하였다. 실험결과 학습자와 교수자의 접근성이 편리하게 나타났으며, 데이터 교환이 없기 때문에 업무 프로세스가 현저히 줄었다. 향후에는 다양한 학습요소에 대한 연동과 세션처리, 보안을 고려한 LMS 연동이 연구과제로 남아있다.

• 한국항행학회논문지
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• 제15권4호
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• pp.640-645
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• 2011

이러닝의 발전과 더불어 다양한 학습도구의 개발 및 이러닝 콘텐츠의 공동 활용 등 이러닝을 통한 교류가 활발하게 이루어지고 있다. 또한 이러닝 교류는 학습자 정보교환 중심의 교류, 교수자 정보교환 중심의 교류 등 여러 가지가 있다. 그러므로 각각 LMS의 상호 연동을 고려하지 않고 개발되었기 때문에 이러닝 교류시 문제점이 나타나게 되었다. 이 문제점을 해결하기 위하여 본 논문에서는 우선 먼저 학습에 가장 필요로 하는 학습요소들 즉, 과목정보, 강의정보, 사용자정보, 수강신청정보, 학습이력정보를 연동데이터로 정의하였으며, 가상의 테이블인 뷰를 이용하여 데이터 연동 테이블을 구성하여 이러닝간 운영관리를 위한 LMS 연동 모델 구현한다. 향후에는 다양한 학습요소에 대한 연동과 세션처리, 보안을 고려한 LMS 연동이 연구과제로 남아있다.