• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.3
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• pp.290-297
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• 2004

The control laws for cart-pole system are studied to see the schemes on which the control laws are made. Also, the odd symmetry of the relation between the output of the control laws and the system state vector is observed. Utilizing the symmetry in quantizing the system state variables and implementing the control laws into look-up table is discussed. Then, a CMAC is trained for a nonlinear control law for a cart-pole system such that the symmetry is conserved and its learning performance is evaluated. It is found that utilizing the symmetry is to reduce the memory requirement as well as the training period while improving the learning quality in terms of preserving the symmetry.

• Journal of Elementary Mathematics Education in Korea
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• v.18 no.3
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• pp.459-474
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• 2014

The purpose of this study was to investigate the effects of mathematical instruction using GSP program on the symmetrical figures learning and self-directed learning attitude. According to the pretest result, the experiment group and the comparison group showed to be homogeneous groups. The experiment group has learned symmetrical figures for 9 hours using the GSP program and the comparison group has learned for 9 hours using the traditional method(paper and pen lesson). As the posttests, self-directed learning attitude test and symmetry figure understanding test were performed. The results obtained in this research are as follows; First, there was a significant difference in symmetry figure understanding test between the experiment group which learned through GSP program and the comparison group which learned through traditional method. Since there showed a very high achievement in the experiment group which learned using GSP, it can be inferred that GSP was very effective in the lessons of symmetrical movements. Second, there was a significant difference in self-directed learning attitude test between the experiment group and the comparison group. This seems to be because the length of the sides of the figures, size of the angles of the figures etc can be verified instantly and the students can correct by themselves and give feedbacks when they use GSP program. Students preferred drawing using the GSP over drawing using rulers and pencils, and they showed interest in the GSP program and they did not have burden in being wrong in their study and studied in various methods. And as they become familiar with the GSP program, they even studied other contents beyond the scope presented in the textbook.

• Proceedings of the Korean Society of Computer Information Conference
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• 2009.01a
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• pp.35-40
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• 2009

FCM 알고리즘은 입력 벡터와 각 클러스터의 유클리드 거리를 이용하여 구해진 소속도만를 비교하여 데이터를 분류하기 때문에 클러스터링 된 공간에서의 데이터들의 분포에 따라 바람직하지 못한 클러스터링 결과를 보일 수 있다. 이러한 문제점을 개선하기 위해 대칭적 성질을 이용하는 대칭성 측도에 퍼지 이론을 적용하여 군집간의 거리에 따른 변화와 군집 중심의 위치, 그리고 군집 형태에 따라 영향을 덜 받는 개선된 FCM이 제안되었다. 본 논문에서는 효과적으로 패턴을 분류하기 위해 개선된 FCM 알고리즘을 적용한 개선된 하이브리드 네트워크를 제안한다. 제안된 하이브리드 네트워크는 개선된 FCM 알고리즘을 입력층과 중간층의 학습구조 적용하고 중간층과 출력층의 학습구조는 일반화된 델타학습법을 적용한다. 제안된 방법의 인식성능을 평가하기 위해 2차원 좌표평면 상의 데이터를 기존의 Max_Min 신경망을 이용한 FCM 기반 RBF 네트워크와 FCM 기반 RBF 네트워크, HCM 기반 네트워크와 제안된 방법 간의 학습 및 인식 성능을 비교 및 분석하였다.

• 한국정보교육학회:학술대회논문집
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• 2007.01a
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• pp.325-334
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• 2007

수학 교육이 해결해야하는 과제 중 하나는 학습 부진아 문제이다. 수학 학습 부진아 발생 원인은 학생의 수준에 맞지 않는 교재의 사용으로 인해 수학에 대한 흥미 부족, 이를 개선할 수 있는 교재의 미비, 부진아 지도를 위한 교사의 시간 부족 등이 있다. 본 연구에서는 이러한 문제점을 개선하기 위해 '도형아 놀자'라는 수학 학습 부진아 지도를 위한 교수 학습 시스템을 설계하였다. 학습 부진아의 수준에 부합된 맞춤식 교육을 목표로 7차 수학교과서의 도형 영역에 제시된 필수 학습 요소를 중심으로 교재를 재구성하였고, 수학과에 대한 흥미 및 자기 주도적 학습 능력을 길러주기 위해 교수 학습 방법으로 게임을 활용하였으며, 상호작용부분을 강화하여 가정과 연계된 교육이 가능하도록 시스템을 구성하였다. 이 시스템의 학습단계는 여러 가지 모양, 점, 선, 각, 평면도형, 합동과 대칭, 입체도형이라는 5단계로 각 단계의 시작과 끝에 평가를 실시하여 학습부진아의 수준을 정확하게 파악할 수 있도록 설계한다.

• Communications of Mathematical Education
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• v.13 no.1
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• pp.361-379
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• 2002

본 논문은 재미있고 활동적인 기하 수업을 위한 학습자료를 제시한 것으로써 Amazing Triangle (NCTM, 1993)를 GSP를 활용하여 학교수업에서 사용할 수 있는 방안과 테셀레이션으로 확장시켜 도형의 각의 크기, 대칭과 변화, 합동 등의 학습을 통해 자연스럽게 기하에 관한 수학적 개념과 의미를 익히고 수학적 사고력과 창의력을 키우고자 하였다. 수학에 대한 정의적 측면에서의 향상과 동시에 타교과인 미술 분야에 수학이 어떻게 사용될 수 있는 가도 알 수 있다.

• 한국정보교육학회:학술대회논문집
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• 2007.08a
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• pp.294-299
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• 2007

도형의 합동은 도형의 대칭이나 도형그리기를 배우는 데에 기본이 되며, 도형의 성질을 이해하고 모양을 그리는 능력을 기르게 할 수 있다. 도형의 합동을 공부해야 일상 생활에서 필요로 하는 디자인이나 아름다운 예술 작품에 대한 소양을 가질 수 있다. 하지만 합동 학습을 할 때에 개념을 형성하는데 드는 시간보다 종이를 자르고 도형의 본을 뜨는 행동과 같은 구체적 조작 시간이 많이 소요되기 때문에 학생들 간의 상호작용은 물론 교사와 학생들과의 상호작용 시간도 기대하기 어렵다. 따라서 본 연구에서는 초등학교 학생들에게 학습효과를 높일 수 있도록 상호작용 이론을 합동학습에 적용하여 학습자들이 합동의 개념을 쉽게 이해할 수 있도록 하였고 동시에 동시적 비동시적 의사소통이 가능한 웹상에서 실시하는 합동학습 코스웨어를 개발하고 적용하였다.

• Journal of Elementary Mathematics Education in Korea
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• v.22 no.3
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• pp.267-282
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• 2018

The purpose of this study is to develop and apply a Convergence program for teaching of congruence and symmetry and to investigate the effects of the mathematical creativity and convergence talent. For these purposes, research questions were set up as follows: 1. How is a Convergence program for teaching of congruence and symmetry developed? 2. How does a Convergence program affect the mathematics creativity and convergence talent of fifth grade student in elementary school? The subjects in this study were 16 students in fifth-grade class in elementary school located in Songpa-gu, Seoul. A Convergence program was developed using the integrated unit design process chose the concept of congruence and symmetryas its topic. The developed program consisted of a total 12 class activities plan, lesson plans for 5 activities. Mathematics creativity test, a test on affective domain related with convergence talent measurement were carried out before and after the application of the developed program so as to analyze the its effects. In addition, students' satisfaction for the developed program was investigated by a questionnaire. The results of this study were as follows: First, A convergence program should be developed using the integrated unit design process to avoid focusing on the content of any one subject area. The program for teaching of congruence and symmetry should be considered students' learning style and their preferences for media. Second, the convergence program improved the students' mathematical creativity and convergence talent. Among the sub-factors of mathematical creativity, originality was especially improved by this program. Students thought that the program is good for their creativity. Plus, this program use two subject class, Math and Art, so student do not think about one subject but focus on topic 'congruence and symmetry'. It help students to develop their convergence talent.

• Communications of Mathematical Education
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• v.29 no.4
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• pp.699-722
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• 2015

Based on Lagrange's general theory of algebraic equations, by applying the solution of the equation using the relationship between roots and coefficients to the high school 1st grade class, the purpose of this study is to recognize the significance of symmetry associated with the solution of the equation. Symmetry is the core idea of Lagrange's general theory of algebraic equations, and the relationship between roots and coefficients is an important means in the solution. Through the lesson, students recognized the significance of learning about the relationship between roots and coefficients, and understanded the idea of symmetry and were interested in new solutions. These studies gives not only the local experience of solutions of the equations dealing in school mathematics, but the systematics experience of general theory of algebraic equations by the didactical organization, and should be understood the connections between knowledges related to the solutions of the equation in a viewpoint of the mathematical history.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.9
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• pp.1905-1912
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• 2009

Clustering results based on the FCM algorithm sometimes produces undesirable clustering result through data distribution in the clustered space because data is classified by comparison with membership degree which is calculated by the Euclidean distance between input vectors and clusters. Symmetrical measurement of clusters and fuzzy theory are applied to the classification to tackle this problem. The enhanced FCM algorithm has a low impact with the variation of changing distance about each cluster, middle of cluster and cluster formation. Improved hybrid network of applying FCM algorithm is proposed to classify patterns effectively. The proposed enhanced FCM algorithm is applied to the learning structure between input and middle layers, and normalized delta learning rule is applied in learning stage between middle and output layers in the hybrid network. The proposed algorithms compared with FCM-based RBF network using Max_Min neural network, FMC-based RBF network and HCM-based RBF network to evaluate learning and recognition performances in the two-dimensional coordinated data.

• Transactions of the Korean Society of Mechanical Engineers
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• v.16 no.7
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• pp.1322-1331
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• 1992

The conventional neural networks are built without considering the underlying structure of the problems. Hence, they usually contain redundant weights and require excessive training time. A novel neural network structure is proposed for symmetric problems, which alleviate some of the aforementioned drawback of the conventional neural networks. This concept is expanded to that of the constrained neural network which may be applied to general structured problems. Because these neural networks can not be trained by the conventional training algorithm, which destroys the weight structure of the neural networks, a proper training algorithm is suggested. The illustrative examples are shown to demonstrate the applicability of the proposed idea.