• 한국전자통신학회논문지
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• 제16권1호
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• pp.95-100
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• 2021

본 논문에서는 수중 건설 로봇을 제어하기 위한 모델 기반 메타 강화 학습 방법을 제안한다. 모델 기반 메타 강화 학습은 실제 응용 프로그램의 최근 경험을 사용하여 모델을 빠르게 업데이트한다. 다음으로, 대상 위치에 도달하기 위해 매니퓰레이터의 제어 입력을 계산하는 모델 예측 제어로 모델을 전송한다. MuJoCo 및 Gazebo를 사용하여 모델 기반 메타 강화 학습을 위한 시뮬레이션 환경을 구축하였으며 수중 건설 로봇의 실제 제어 환경에서의 모델 불확실성을 포함하여 제안한 방법을 검증하였다.

• International Journal of Computer Science & Network Security
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• 제23권5호
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• pp.73-88
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• 2023

Brain tumors can also be an abnormal collection or accumulation of cells in the brain that can be life-threatening due to their ability to invade and metastasize to nearby tissues. Accurate diagnosis is critical to the success of treatment planning, and resonant imaging is the primary diagnostic imaging method used to diagnose brain tumors and their extent. Deep learning methods for computer vision applications have shown significant improvements in recent years, primarily due to the undeniable fact that there is a large amount of data on the market to teach models. Therefore, improvements within the model architecture perform better approximations in the monitored configuration. Tumor classification using these deep learning techniques has made great strides by providing reliable, annotated open data sets. Reduce computational effort and learn specific spatial and temporal relationships. This white paper describes transfer models such as the MobileNet model, VGG19 model, InceptionResNetV2 model, Inception model, and DenseNet201 model. The model uses three different optimizers, Adam, SGD, and RMSprop. Finally, the pre-trained MobileNet with RMSprop optimizer is the best model in this paper, with 0.995 accuracies, 0.99 sensitivity, and 1.00 specificity, while at the same time having the lowest computational cost.

• 한국수학교육학회지시리즈D:수학교육연구
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• 제1권2호
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• pp.107-116
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• 1997

The purpose of this study is to develop a teaching/learning model for the mathematical enculturation of elementary and secondary school students. It is clear that the development of teaching and learning in the classroom is essential for the realization of global innovations in mathematics education. Research questions for this purpose are as follow: (1) What can be learned from literatures reviews of the socio-cultural perspective on mathematics education, and of ethnomathematics as a mathematics intrinsic to cultural activities? (2) What is the direction of teaching and learning from the perspective of mathematical enculturation? (3) What is the teaching /learning model for mathematical enculturation? (4) What is the instructional exemplification based on the developed model? This study promotes the establishment of mathematics education theory from the review of literatures on the socio-cultural perspective, the development of a teaching/learning model, and the instructional exemplification based on the developed model.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 춘계학술대회
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• pp.72-74
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• 2021

다양한 분야에서 현재 활용되고 있는 딥러닝 과정은 데이터 준비, 데이터 전처리, 모델 생성, 모델 학습, 모델 평가로 구성 된다. 이중 모델 학습 과정에서 손실함수는 모델이 학습하면서 출력한 값을 실제 값과 비교하여 그 차이를 출력하게 되고, 출력된 손실값을 기반으로 모델은 역전파 알고리즘을 통해 손실값이 감소하는 방향으로 가중치를 수정해가며 학습을 진행한다. 본 논문에서는 바이오마커 추출을 위한 딥러닝 모델에서 사용될 신경망 출력 값의 손실도를 측정하여 출력해주는 다양한 손실함수를 분석하고 실험을 통해 최적의 손실함수를 찾아내고자 한다.

• 한국정보시스템학회지:정보시스템연구
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• 제21권1호
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• pp.117-152
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• 2012

The purpose of this study was to identify the negative factors affecting personnel u-Learning acceptance and to analyze the interrelation among the factors in this research model. The two independent variables avoidable convenience and reliant convenience, based on pilot test results, and learning performance and perceived interactivity, based on the relevant literature, are used to examine the research model. The research problem was tested with data collected from 577 respondents in 23 universities. This study developed and empirically analyzed a model representing the relationship by using the Structural Equation Model. The major findings of this study are, firstly, that the higher reliant convenience is negatively affecting the degree of system use and learner’s satisfaction, whereas avoidable convenience is only affecting the learner’s satisfaction. Secondly, the higher learning performance and stronger perceived interactivity affects the degree of system use as well as learner’s satisfaction. Finally, the degree of system use affects the learner’s satisfaction.

• 한국정보기술학회 영문논문지
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• 제10권2호
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• pp.103-110
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• 2020

The course evaluations was used to collect the students' opinion and verify the learning performance for a long time. However, many evaluations' methods are not consider each characteristics of the course, and many courses were presented to students with the same question for the course evaluations. This research aims to make a learning success model considering the questionnaire of course evaluations and relationship between the factors of learning and learning satisfaction/benefit. In order to make a model, we identify the items of the questionnaire and distinguish the factors considering the items. The factors are Information Quality, Knowledge Quality, System Quality and Service Quality. Consequently, the research shows the connection and relationship between them and learning satisfaction/benefit.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.338-344
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• 2009

Organizational learning of construction team has been long addressed in the literatures, but the mechanism of learning and the influence of leader in the team still remain vague. This paper presents a computational model (OLT) depicting the mechanism and the influence of leader in a systemic way. The OLT model is a multi-agent system based on some eloquent propositions proposed in previous researches. The proposed model is preliminarily validated by some toy-problem simulations. In the OLT model, the leader is assigned as a project manager. The results show that a proper leader can effectively improve the learning process and the result-in performance, in which the team learning is mainly affected by both the leader and the majority in a team. Based on our findings, two propositions are concluded accordingly: (1) Learning of a team would be enhanced if a proper leader is assigned; (2) The effectiveness of learning would increase in a team, in which the members retain explorative attitudes.

• 교육심리연구
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• 제32권1호
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• pp.1-27
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• 2018

본 연구의 목적은 창의적 문제해결(CPS) 기반으로 대학생을 위한 학습컨설팅 모형을 개발하고 나아가 이의 실증적 효과를 검증하는 것이었다. 창의적 문제해결 기반 학습컨설팅 모형은 ADDIE 모형에 근거하여 개발하였다. 분석과정에서 컨설팅 과정과 내용 영역을 확인하여 구성요소를 추출하고, 설계과정에서는 모형의 목적에 적합한 컨설팅 과정과 세부내용을 구체화하였다. 개발과정에서는 구체화된 내용으로 창의적 문제해결 기반 학습컨설팅 주요과정과 세부과정 및 주요활동을 구조화하였다. 그리고 실행과정에서는 개발된 모형을 대학생 15명에게 적용하여 모형의 효과성을 확인하였다. 마지막으로 평가과정에서는 학습컨설팅전문가 4명을 포커스 그룹으로 구성하여 인터뷰 한 다음 모형 타당도 검증을 거쳐 최종모형을 개발하였다. 그리고 최종모형을 대학생 20명에게 적용한 결과 자기주도학습능력과 창의적 문제해결능력이 통제집단에 비해 향상되었음을 확인하였다. 이러한 결과를 토대로 창의적 문제해결 기반 학습컨설팅 모형 개발 및 활용에 대한 시사점과 제한점을 논의하였다.

• 융합정보논문지
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• 제9권3호
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• pp.36-43
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• 2019

본 연구의 목적은 간호대학생의 직소모형과 플립러닝 융합교육의 효과를 확인하기 위함이며 비동등성 대조군 전 후 설계 실험연구이다. 연구대상자는 J지역에 소재한 간호학과 3학년 통합실습II를 수강한 81명의 학생으로 자료는 설문지를 이용하여 융합교육 전 후에 수집되었다. 연구결과, 직소모형과 플립러닝 융합교육이 학습만족도(t=-3.783, p=.001)에서 유의하게 나타났다. 따라서 직소모형과 플립러닝 융합교육을 교수학습방법으로 활용하면 학습만족도를 향상시켜 학습성과를 극대화 시킬 수 있을 것으로 사료되며, 본 연구는 그 기초자료로 의의가 있다. 이러한 연구결과를 토대로 직소모형과 플립러닝을 융합한 후속연구와 교수학습 프로그램 개발 및 적용이 필요하다.

• 기술혁신연구
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• 제5권2호
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• pp.22-47
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• 1997

This paper suggests a model of Living & Learning Nation as a new ploicy framework. It is a combination of Living Nation and Learning Nation. Living Nation model takes the nation as a living entity composed of spirit, resource, and communication : it grows but healthy and balanced growth is needed, its organs are closely connected, it has a circulation system, the 'spirit' factor plays the central role, etc.. Learning Nation model is a national level version of learning organization concept. The model defines new perspectives on the objectives, span of means, and the role of government in S&T policy. Therefore, the model can be used to give new insights to policymakers of developing countries facing the knowledge-based economy.