• Journal of the Korean School Mathematics Society
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• v.11 no.3
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• pp.337-362
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• 2008

Nowadays the education of Mathematics is more important than any other courses in the school. But the most students have felt the difficulty and uncomfortableness in studying Mathematics, especially the geometry course. Moreover teachers also consider that the teaching of geometry is the hardest part of Mathematics. Therefore we suggest an effective method of teaching the geometry course for the middle school students. We provide the activity papers which contain mathematics problems based on the practical life of students. And we analyze the effects of the activity papers using the questionnaire.

• Communications of Mathematical Education
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• v.15
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• pp.141-146
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• 2003

중학교 기하교육의 목적은 학생들의 수학적인 상황을 보는 기하학적인 직관과 논리적 추론능력의 향상이다. 그러나 이 두 가지 모두 만족스럽지 못한 실정이다. 본 고에서는 중학교 기하교육의 문제를 직관기하와 형식기하의 단절이라는 보고, 직관기하에서 증명의 학습요소를 미리 학습하여 직관기하와 형식기하를 연결하자는 대안을 제시한다. 이를 위해 7-나 교과서의 증명요소를 분석하고자 하였다. 관련문헌을 검토하여 7가지 증명의 학습요소를 선정한 후, 교과서를 분석하였다. 분석 결과, 기호화를 제외한 다른 증명의 학습요소는 매우 빈약한 것으로 나타났다. 직관기하 영역에 대한 교과서 구성이 개선될 필요가 있음을 알 수 있다.

• Communications of Mathematical Education
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• v.13 no.2
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• pp.515-525
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• 2002

중학교 기하영역 중 피타고라스의 정리를 논증적인 증명 대신에 역동적인 방법으로 이해할 수 있도록 GSP(Geometer's Skechpad)를 활용하여 구현했으며, 멀티미디어 환경에 익숙한 중학생들에게 시 ${\cdot}$ 공간을 초월하여 웹 상에서 개별학습, 반복학습을 할 수 있도록 JAVA 언어를 사용하여 웹으로 변환시켰다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.2C
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• pp.194-199
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• 2009

This paper proposes a face detection algorithm that uses geometrical information on face and hair region. This information that face adjoins hair regions can be the important one for face detection. It is also kept in images with frontal, rotated and lateral face. The face candidates are founded by the analysis of skin regions after detecting the skin and hair color regions in an image. Next, the intersected lesions between face candidates and hair's are created. Finally, the face candidates that include the subsets of these regions turn out to be face. Experimental results showed the high detection rates for frontal and lateral faces as well as faces geometrically distorted.

• KIPS Transactions on Software and Data Engineering
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• v.8 no.10
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• pp.421-426
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• 2019

In this paper, we propose a method to visualize the geometric features of the contact region between proteins in a protein complex. When proteins or ligands are represented as curved surfaces with irregularities, the property that the two surfaces contact each other without intersections is called shape compatibility. Protein-Protein or Protein-Ligand docking researches have shown that shape complementarity, chemical properties, and entropy play an important role in finding contact regions. Usually, after finding a region with high shape complementarity, we can predict the contact region by using residual polarity and hydrophobicity of amino acids belonging to this region. In the research for predicting the contact region, it is necessary to investigate the geometrical features of the contact region in known protein complexes. For this purpose, it is essential to visualize the geometric features of the molecular surface. In this paper, we propose a method to find the contact region, and visualize the geometric features of it as normal vectors and mean curvatures of the protein complex.

• Journal of the Korean School Mathematics Society
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• v.15 no.1
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• pp.137-154
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• 2012

The purposes of this study are to develop the formative assessment program in geometry area for a 1st-grade class of middle school and to test the effect of this program. This formative assessment program was based on mathematics curriculum for the 1st graders of middle school. In addition, we examined how the 1st graders of middle school understand the geometric concepts by analyzing their response in the pretest and the posttest. This formative assessment program and the results of its analysis would be the useful information for the effective teaching and learning in geometry area for the 1st grades of middle school.

• Proceedings of the Korea Information Processing Society Conference
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• 2001.04b
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• pp.859-862
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• 2001

본 논문에서는 칼라 CCB 카메라로부터 입력된 얼굴 영상에서 HSI 정보와 눈, 코, 입 등의 얼굴 영역 특징자 및 특징자의 기하학적 특징각을 이용한 얼굴 인식 알고리즘을 제안하였다. 제안한 알고리즘에서는 인간의 시각 체계와 비교적 유사한 HSI좌표계 상에서 피부색에 대한 색상 정보와 명암값 정보를 함에 이용함으로써 얼굴영역 추출의 효율을 높였고, 또한 추출된 얼굴 영역에서 얼굴 인식율 개선을 위해 눈, 코, 입 등의 구조적 위치 정보와 특징자들의 기하학적 특징각을 이용하여 얼굴 인식율을 개선하였다. 제안한 알고리즘에서는 기존의 명암 정보를 이용하는 방법과는 달리 색상 정보와 명암 정보를 함께 이용함으로써 정확한 얼굴 영역의 검출이 가능하였으며 인식 방법에 있어서 특징자들의 기하학적 관계값을 이용함으로써 인식 효율을 개선하였다.

• Journal for History of Mathematics
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• v.26 no.1
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• pp.33-56
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• 2013

This is a literature study about the concept of 'Division into Equal Parts' in middle school geometry. First, we notice that the concept of the division into equal parts in middle school geometry is given in four themes, which are those of line segments, angles, arches and areas. Second, we investigate and analyse the historical backgrounds of these four kinds of divisions into equal parts. Third, the possibility of extension in terms of method and concept was researched. Through the result of this study, we suggest that it is desirable to use effective utility of history in mathematical teaching and learning in middle school.

• Communications of Mathematical Education
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• v.21 no.3
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• pp.451-466
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• 2007

Geometry in school mathematics is the field that has the possibility of diverse approach such as Synthetic Geometry and Analytic Geometry. Synthetic Geometry is handled in middle schools and Analytic Geometry in the first year of high schools. Therefore, this research show for the possibility of using Synthetic Geometry in high schools which was learned already in middle schools and the way of integrating both of them concretely. This is expected to help students understand the mathematical meaning of figures a lot.

• Proceedings of the KAIS Fall Conference
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• 2008.05a
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• pp.228-230
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• 2008

본 논문은 영상 내의 얼굴에 존재하는 기하학적 정보에 기반한 얼굴 검출을 제안한다. 영상안에 존재하는 피부색 영역과 헤어색 영역을 이용하여 얼굴과 헤어의 후보영역을 생성한다. 그 후 이러한 영역들의 기하학적인 정보를 이용하여 여러 얼굴 후보영역들 중 실제 얼굴 영역을 찾는다. 제안한 알고리즘은 다양한 종류의 영상을 사용하여 성능을 평가하였으며 실험결과 대부분의 영상에서 높은 검출률을 보였다.