• Journal of KIISE:Software and Applications
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• v.31 no.1
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• pp.61-70
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• 2004

It is difficult to find an appropriate web site because exponentially growing web contains millions of web documents. Personalization of web search can be realized by recommending proper web sites using user profile but more efficient method is needed for estimating preference because user's evaluation on web contents presents many aspects of his characteristics. As user profile has a property of non-linearity, estimation by classifier is needed and combination of classifiers is necessary to anticipate diverse properties. Structure adaptive self-organizing map (SASOM) that is suitable for Pattern classification and visualization is an enhanced model of SOM and might be useful for web mining. Fuzzy integral is a combination method using classifiers' relevance that is defined subjectively. In this paper, estimation of user profile is conducted by using ensemble of SASOM's teamed independently based on fuzzy integral and evaluated by Syskill ＆ Webert UCI benchmark data. Experimental results show that the proposed method performs better than previous naive Bayes classifier as well as voting of SASOM's.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.2
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• pp.205-211
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• 2012

The retrieved documents have to be transformed into proper data structure for the clustering algorithms of statistics and machine learning. A popular data structure for document clustering is document-term matrix. This matrix has the occurred frequency value of a term in each document. There is a sparsity problem in this matrix because most frequencies of the matrix are 0 values. This problem affects the clustering performance. The sparseness of document-term matrix decreases the performance of clustering result. So, this research uses the factor score by factor analysis to solve the sparsity problem in document clustering. The document-term matrix is transformed to document-factor score matrix using factor scores in this paper. Also, the document-factor score matrix is used as input data for document clustering. To compare the clustering performances between document-term matrix and document-factor score matrix, this research applies two typed matrices to self organizing map (SOM) clustering.

• Journal of the Korea Convergence Society
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• v.12 no.11
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• pp.27-33
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• 2021

With increasing interest in key areas of the 4th industrial revolution such as artificial intelligence, deep learning and big data, scientific approaches have developed in order to overcome the limitations of traditional decision-making methodologies. These scientific techniques are mainly used to predict the direction of financial products. In this study, the factors of apartment prices, which are of high social interest, were analyzed through SOM. For this analysis, we extracted the real prices of the apartments and selected a total of 16 input variables that would affect these prices. The data period was set from 1986 to 2021. As a result of examining the characteristics of the variables during the rising and faltering periods of the apartment prices, it was found that the statistical tendencies of the input variables of the rising and the faltering periods were clearly distinguishable. I hope this study will help us analyze the status of the real estate market and study future predictions through image learning.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.482-482
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• 2022

하천의 합류부에서는 수질이 다른 유체가 혼합하여 합류 전과 다른 특성을 보인다. 하천의 합류부에서 수질을 효율적으로 관리하기 위해서는 수질의 공간적인 혼합 특성을 규명하는 것이 중요하다. 합류부에서 수질의 공간적인 혼합 특성을 분석하기 위해 본 연구에서는 토폴로지 데이터 분석(topological data analysis, TDA), 자기 조직화 지도(Self-Organizing Map, SOM), k-평균 알고리즘(K-means clustering algorithm) 세 가지 기법을 이용하였다. 세 가지 기법을 비교하여 어떤 알고리즘이 합류부의 수질 변화 특성을 더 뚜렷하게 나타내는지 분석하였다. 수질 변화 비교 인자들은 pH, chlorophyll, DO, Turbidity 등이 있고, 수질 인자들은 YSI를 활용해 측정하였다. 자료의 측정 지역은 낙동강과 황강이 합류하는 지역이며, 보트에 YSI 장비를 부착하고 횡단하여 측정하였다. 측정한 데이터를 R 프로그램을 통해 세 가지 기법을 적용시켜 수질 변화 비교를 분석한다. 토폴로지 데이터 분석(topological data analysis, TDA)은 거대하고 복잡한 데이터로부터 유의미한 정보를 추출하는 데 사용하고, 자기조직화지도(Self-Organizing Map, SOM) 기법은 차원 축소와 군집화를 동시에 수행한다. k-평균 알고리즘(K-means clustering algorithm) 기법은 주어진 데이터를 k개의 클러스터로 묶는 머신러닝 비지도학습에 속하는 알고리즘이다. 세 가지 방법들의 주목적은 클러스터링이다. 클러스터 분석(Cluster analysis)이란 주어진 데이터들의 특성을 고려해 동일한 성격을 가진 여러 개의 그룹으로 대상을 분류하는 데이터 마이닝의 한 방법이다. 군집화 방법들인 TDA, SOM, K-means를 이용해 합류 지역의 수질 특성들을 클러스터링하여 수질 패턴들을 분석해 하천 수질 오염을 방지할 수 있을 것이다. 본 연구에서는 토폴로지 데이터 분석(topological data analysis, TDA), 자기조직화지도(Self-Organizing Map, SOM), k-평균 알고리즘(K-means clustering algorithm) 세 가지 기법을 이용하여 합류부에서의 수질 특성을 비교하며 어떤 기법이 합류의 특성을 더욱 뚜렷하게 나타내는지 규명했다. 합류의 특성을 군집화 방법을 이용해 알게 된다면, 합류부의 수질 변화 패턴을 다른 합류 지역에서도 적용할 수 있을 것으로 기대된다.

• Journal of the Korean Chemical Society
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• v.58 no.5
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• pp.463-477
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• 2014

The purpose of this study is to investigate the teaching-learning effects in the experimental classes for the 'Redox' unit of science textbook of 11th grade using self-regulated learning strategy. Simultaneously, the effects of teaching-learning through the student's characteristics of the scientific high school were also included. The experimental and the controlled groups were selected by the teaching-learning method established on self-regulated learning strategy and regular laboratory activity based on the teacher' instruction, respectively. The questionaries of the scientific inquiry and scientific attitude were examined by the student. For their achievement, the total score which was obtained from the formative evaluation and performance assessment was utilized. After the laboratory activity for the unit grounded on the self-regulated learning strategy, the mean values of the scientific inquiry, scientific attitude, and achievement by the experimental group were higher than those of the controlled group. There was significant difference between the two groups in the post-test. By the results of the post-test for the experimental group, there has been somewhat relationship between the self-regulated learning strategy and the scientific inquiry, the scientific attitude, and the scientific achievement.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.32B no.1
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• pp.180-188
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• 1995

A modified Kohonen's self-organizing feature map (SOFM) algorithm which has binary reinforcement function and a constant learning rate is proposed. In contrast to the time-varing adaptaion gain of the original Kohonen's SOFM algorithm, the proposed algorithm uses a constant adaptation gain, and adds a binary reinforcement function in order to compensate for the lowered learning ability of SOFM due to the constant learning rate. Since the proposed algorithm does not have the complicated multiplication, it's digital hardware implementation is much easier than that of the original SOFM.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2021.06a
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• pp.183-186
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• 2021

인간 자세 추정 연구는 최근 크게 주목 받고 있는 연구 분야이다. 본 연구는 또한, 자기 지도 학습이라고 명명된 딥러닝 기법이 부상하면서 여러 문제가 해결되고 있다. 본 논문에서는, 이러한 문제를 해결하는 딥러닝 기반 인간 자세 추정 방법들을 유형별로 분류해본다. 그리고 각 분류별 설명과 함께 대표적인 방법들을 소개한다. 마지막으로, 결론에서는 본 연구가 앞으로 나아갈 방향에 대한 논의를 제시한다.

• Journal of The Korean Association of Information Education
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• v.4 no.1
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• pp.57-71
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• 2000

Generally, Web Based Instruction has been deployed through whole studies, but the characteristic that is suit various WBI materials to a course of study is a important problem of instructional practice and it also has not to overlook. Therefore, Today's problem that is application of learning materials about the regional autonomy for Web Based Instruction, A plan that it can be solved in the social studies is propelling in this paper. Each of the whole country's region, the learning about the regional autonomy with centering around text, it is a text book, 'Social Investigation', that is developed specially is teaching until now, but developmental model of learning materials about the regional autonomy for Web Based Instruction is proposed by the efforts for improve this problem. Various learning materials about the regional autonomy for Web Based Instruction applied to learn our regional cultural life through the school homepage with based on this proposal. As a result of this study, By sloughing off old sensibility with centering around text, Student's Ability of self directed learning and solving problem is expanded with the dynamic multimedia regional Webpage's environment

• Journal of The Korean Association For Science Education
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• v.35 no.4
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• pp.573-584
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• 2015

Inquiry has been consistently emphasized in science education as a crucial element for learning. Although many researchers came to agree on the importance of scientific inquiry, authentic inquiry activities are hard to be actualized in an educational context. Therefore it is required to critically examine what teachers have difficulty in teaching inquiry. In this article, we looked into inquiry-based science activities in a small group setting where pre-service science teachers faced dilemmas between cognition and practice of inquiry. A case study was conducted on eight undergraduate students who are majoring in science education. The participants attended a weekly science program for middle school students in low SES as teaching assistants and mentors, and took full care of his/her mentees during open-inquiry activities. The results were drawn by analyzing participants' personal and group interviews, participant observations, self-reports, and others. The pre-service teachers viewed the knowledge and procedure of science as an essential factor in inquiry activities along with student's spontaneous attitude. However, in the process of performing inquiry, they faced several dilemmas between ideal cognition and real activities. The aspects of dilemmas could be summarized in three pairs of opposing concepts: 'diverging inquiry or converging science', 'interest-centered inquiry or learning-centered inquiry', and 'student as the subject or student with the insufficient expertise.' We discussed ways of resolving dilemmas and alternative perspectives on scientific inquiry.

• Journal of The Korean Association For Science Education
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• v.30 no.6
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• pp.681-692
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• 2010

The purpose of this study is to analyze the teaching-learning effect of using self-regulated learning strategy on experimental classes for the 'kinetics' unit of 10th grade science textbook. Six classes were chosen and classified into two groups: the first group, the control group, was taught with the regular laboratory activity and the other group, the experimental group, was taught with the teaching-learning method using self-regulated learning program. After the laboratory activity for the unit using self-regulated learning program, the mean values of the scientific inquiry, scientific attitudes, and performance assessment of the experimental group were larger than those of the control group. There were significant differences between the two groups in the post-test. With the results of the post-test for the experimental group, the self-regulated learning program has significant relationships on scientific inquiry, scientific attitudes, and scientific achievements.