• Journal of The Korean Association of Information Education
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• v.5 no.1
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• pp.33-45
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• 2001

In order to adapt ourselves to the Informationalization Society of twenty-first century, it is required to have ability to find quickly the necessary information and solve the problem of our own. In the field of school, it should be educated to develop learner's ability that can cope with the Informationalization Society. When a learner can study in such direction, he or she will be able to plan the learning of his own as the subject of education, and develop his ability to solve the problem by collecting and examining various information. It is self-leading learning that can make education like this possible. Through computer, especially Web site, self-directed learning can develop can develop the individuality and creativity of learners. They can collect and utilize autonomously information and knowledge. To do such an education, the program that can work out self-directed learning is needed. Therefore the program I want to develop is to reconstruct the 'figure' part of mathematics in elementary school into five steps by utilizing Web site. In the first step is to learn the concept of various shape. This step enable learners to know what figure is and how it can be utilized in our real life. The second step of dot, line and angle makes it possible that learners can consolidate the foundation of the study about figure and recognize the relation between angle and figure. In the third step of plane figure, we can study how to calculate the relation of plane figures and the area of figure with various shapes by cutting and adding them. The fourth step is about congruence and symmetry. Learners can learn to know the figure in congruence, reduction and enlargement and how it is used in our real life. In the fifth step of solid figure, we can learn the relation among the plane figure, solid figure, the body of revolution, corn and pyramid etc. controling the speed of learning on the basis of his ability. In the process of the program, it is also possible to develop learner's ability of self-leading learning by solving the problem by himself. Because this program is progressed on the Web site, it is possible to learn anytime and anywhere. In addition to it, a learner can learn beyond the grade as well as do the perfect learning by controling the pace of learning on the basis of his ability. In the process of the program, it is also possible to develop learner's ability of self-leading learning by solving the problem by himself.

• Journal of Korean Home Economics Education Association
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• v.30 no.3
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• pp.91-109
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• 2018

This research aimed to develop teaching-learning plans applying character education components and STAD cooperative learning strategy focusing on the 'Housing and residential environment' unit in accordance with the 2009 revised Technology·Home Economics curriculum. In order to achieve the purpose of the research, this study was conducted in order of analysis, design, development, and evaluation. The results of this study is as follows. First, at the analysis stage, relevant literature, Technology·Home economics curriculum, and the contents of "housing and residential environment" unit from 12 textbooks published by 12 publishers were analyzed. Second, at the design stage, teaching-learning plans, teaching materials, and learning activity sheets applying character education components and STAD cooperative learning strategy were designed to increase the interest degree of the learner and character of middle school students. Third, at the development stage, a total of 8 classes of teaching-learning plan was developed. In the evaluation stage, the primary and secondary validity evaluation procedures were done by Home Economics education professors and Home Economics teachers. Teaching-learning plans and learning activity sheets were revised and complemented based on the feedback from the first validity evaluation. As a result of secondary validity evaluation, it can be seen that the teaching-learning plans and learning activity sheets developed in this research are reasonable and suitable for improving character of middle school students. It is expected that these teaching materials applying STAD and character education components will be utilized as a helpful source for curriculum developers and in-service teachers.

• Asia pacific journal of information systems
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• v.5 no.1
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• pp.36-51
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• 1995

본 논문에서는 비구조적인 의사결정문제를 효과적으로 해결하기 위하여 감독학습 인공신경망 모형과 비감독학습 인공신경망 모형을 결합한 하이브리드 인공신경망 모형인 HYNEN(HYbrid NEural Network) 모형을 제안한다. HYNEN모형은 주어진 자료를 클러스터화 하는 CNN(Clustering Neural Network)과 최종적인 출력을 제공하는 ONN(Output Neural Network)의 2단계로 구성되어 있다. 먼저 CNN에서는 주어진 자료로부터 적정한 퍼지규칙을 찾기 위하여 클러스터를 구성한다. 그리고 이러한 클러스터를 지식베이스로하여 ONN에서 최종적인 의사결정을 한다. CNN에서는 SOFM(Self Organizing Feature Map)과 LVQ(Learning Vector Quantization)를 클러스터를 만든 후 역전파학습 인공신경망 모형으로 이를 학습한다. ONN에서는 역전파학습 인공신경망 모형을 이용하여 각 클러스터의 내용을 학습한다. 제안된 HYNEN 모형을 우리나라 기업의 도산자료에 적용하여 그 결과를 다변량 판별분석법(MDA:Multivariate Discriminant Analysis)과 ACLS(Analog Concept Learning System) 퍼지 ARTMAP 그리고 기존의 역전파학습 인공신경망에 의한 실험결과와 비교하였다.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.299-311
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• 2023

This study is to verify the development process and effectiveness of a learning strategy program for junior college students. The necessity and feasibility of learning strategy programs for junior college students were confirmed and reviewed through prior studies, and the program development process was divided into four stages: program planning, program development, program execution, and program evaluation, and integrated into program development management. In the first stage of program planning, the development direction, goals and objectives were set. In the second stage of program development, prior research analysis, content selection, program organization, and evaluation plan were conducted. In the third stage of execution, the program was executed, and in the fourth stage of evaluation, program evaluation was conducted to develop the program. In order to verify the effectiveness of the program, the test was conducted using the learning strategy diagnostic scale for junior college students to collect data, and the effectiveness was verified for the pre-, post-, and post-test scores.

• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.107-112
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• 2023

라벨 데이터 수집의 어려움에 따라 라벨이 없는 데이터로 학습하는 준지도학습, 비지도학습에 대한 연구가 활발하게 진행되고 있다. 본 논문에서는 그의 일환으로 Novel Intent Category Discovery(NICD) 문제를 제안하고 NICD 연구의 베이스라인이 될 모델을 소개한다. NICD 문제는 라벨이 있는 데이터와 라벨이 없는 데이터의 클래스 셋이 겹치지 않는다는 점에서 기존 준지도학습의 문제들과 차이가 있다. 제안 모델은 RoBERTa를 기반으로 두 개의 분류기를 추가하여 구성되며 라벨이 있는 데이터셋과 라벨이 없는 데이터셋에서 각각 다른 분류기를 사용하여 라벨을 예측한다. 학습방법은 2단계로 먼저 라벨이 있는 데이터셋으로 요인표현을 학습한다. 두 번째 단계에서는 교차 엔트로피, 이항교차 엔트로피, 평균제곱오차, 지도 대조 손실함수를 NICD 문제에 맞게 변형하여 학습에 사용한다. 논문에서 제안된 모델은 라벨이 없는 데이터셋에 대해 이미지 최고성능 모델보다 24.74 더 높은 정확도를 기록했다.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2006.05a
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• pp.389-396
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• 2006

본 연구에서는 한국어와 영어 메일을 대상으로 2단계 스팸 메일 필터링 시스템을 구축하여 성능평가를 수행한다. 2단계 스팸 메일 필터링 시스템은 블랙리스트를 활용하는 1단계와 기계학습을 통한 지능적인 분류를 하는 2단계로 구성된다. 만약 새로 도착한 메일이 블랙리스트의 내용을 포함한다면 이 메일은 스팸 메일로 분류되고 그렇지 않은 메일은 2단계로 넘어가서 스팸 메일 여부를 판단하게 된다. 메일의 본문이 영어로 작성된 영어 스팸 메일을 일반 메일로부터 분류해내기 위해서는 우선 Stemming과 Stopping 기법을 이용하여 본문에서 정형화된 어휘정보들을 추출한다. 추출된 어휘정보들을 대상으로 속성벡터를 구축한 후 SVM 기계 학습을 시켜 SVM 분류기를 생성하여 지능적인 스팸 메일 필터링을 수행한다. 속성벡터를 구축할 때 기준이 되는 자질을 어떻게 선택하느냐에 따라 스팸 메일 필터링 시스템의 성능이 좌우된다. 따라서 SYM 기계 학습을 위한 속성벡터를 구축할 때 기준이 되는 자질을 선택하는 여러 알고리즘들을 적용하여 성능을 비교 분석한다. 그리고 한국어 스팸 메일 필터링 시스템과 비교하여 영어 스팸 메일 필터링 시스템의 전체적인 성능을 비교 분석한다.

• Journal of Korean Home Economics Education Association
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• v.30 no.4
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• pp.187-207
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• 2018

The purpose of this study was to develop a teaching-learning plan applicable to high school technology·home economics and home science classes in order to prevent adolescents' dating violence which is one of the serious social problems we are facing lately. This research has following three steps: 1. Analyzing contents and selecting content elements, 2. Developing teaching-learning materials, and 3. Performing a pilot test and making corrections. In the first step, this author analyzes how the contents associated with dating violence are presented in the 2015 curriculum of technology·home economics and the textbooks and reviews related literatures to select content elements necessary to prevent dating violence for those going through adolescence. Based on that, in the second step, this researcher develops a teaching-learning plan for six lessons and then makes it verified by two experienced teachers of home economics. In the last step, the teaching-learning plan for six sessions developed is implemented to two high school classes, and then, based on the results of examining the opinions of the teachers implementing the plan and students about the class, this researcher modifies and complements the parts of the plan showing low applicability to the field and develops the final dating violence prevention teaching-learning plan. In order to prevent adolescents' dating violence, it is necessary to create a social environment safe from violence and provide violence prevention education before they begin to have relationship. This researcher expects that this teaching-learning plan is applied in home economics class and it can contribute to enhancing students' sensitivity about violence and improving their competencies to make wise judgments in problematic situations and cope with them properly.

• Journal of the Korea Computer Graphics Society
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• v.30 no.2
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• pp.21-29
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• 2024

Although there is an increasing demand for capturing various natural motions, collecting climbing motion data is difficult due to technical complexities, related to obscured markers. Additionally, scanning climbing structures and preparing diverse routes further complicate the collection of necessary data. To tackle this challenge, this paper proposes a climbing motion synthesis using reinforcement learning. The method comprises two learning stages. Firstly, the hanging policy is trained to grasp holds in a natural posture. Once the policy is obtained, it is used to extract the positions of the holds, postures, and gripping states, thus forming a dataset of favorable initial poses. Subsequently, the climbing policy is trained to execute actual climbing maneuvers using this initial state dataset. The climbing policy allows the character to move to the target location using limbs more evenly in a natural posture. Experiments have shown that the proposed method can effectively explore the space of good postures for climbing and use limbs more evenly. Experimental results demonstrate the effectiveness of the proposed method in exploring optimal climbing postures and promoting balanced limb utilization.

• The Journal of the Korea Contents Association
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• v.19 no.1
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• pp.37-46
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• 2019

The purpose of this study is to develop a flipped-learning based education model for vocational education and training. Based on previous studies, we have developed a training model that includes definitions of flipped-learning, major learning activities, and operational strategies in each occupation. In addition, delphi surveys were carried out to confirm the validity of the educational model for HRD and vocational education and training specialists. Finally, the flipped-learning model for vocational education and training consists of three stages: Pre-learning, Main-learning, and Post-learning. Pre-learning stage include Online lectures, Simple tasks, Main-learning stage include Active learning and Coaching-Debriefing lecture, Post-learning stage includes Individual reflection-Additional task performance activities. The educational model developed through this study was developed with the focus on improving the linkage and the performance of the goal of vocational education and training.

• Annual Conference on Human and Language Technology
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• 2022.10a
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• pp.307-312
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• 2022

상호참조해결은 주어진 문서에서 멘션을 추출하고 동일한 개체의 멘션들을 군집화하는 작업이다. 기존 상호참조해결 연구의 멘션탐지 단계에서 진행한 가지치기는 모델이 계산한 점수를 바탕으로 순위화하여 정해진 비율의 멘션만을 상호참조해결에 사용하기 때문에 잘못 예측된 멘션을 입력하거나 정답 멘션을 제거할 가능성이 높다. 또한 멘션 탐지와 상호참조해결을 종단간 모델로 진행하여 학습 시간이 오래 걸리고 모델 복잡도가 높은 문제가 존재한다. 따라서 본 논문에서는 상호참조해결을 2단계 파이프라인 모델로 진행한다. 첫번째 멘션 탐지 단계에서 후보 단어 범위의 점수를 계산하여 멘션을 예측한다. 두번째 상호참조해결 단계에서는 멘션 탐지 단계에서 예측된 멘션을 그대로 이용해서 서로 상호참조 관계인 멘션 쌍을 예측한다. 실험 결과, 2단계 학습 방법을 통해 학습 시간을 단축하고 모델 복잡도를 축소하면서 종단간 모델과 유사한 성능을 유지하였다. 상호참조해결은 Light에서 68.27%, AMI에서 48.87%, Persuasion에서 69.06%, Switchboard에서 60.99%의 성능을 보였다.