• Proceedings of the Korea Information Processing Society Conference
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• 2018.05a
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• pp.377-380
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• 2018

인간의 추론 능력이란 문제에 주어진 조건을 보고 문제 해결에 필요한 것이 무엇인지를 논리적으로 생각해 보는 것으로 문제 상황 속에서 일정한 규칙이나 성질을 발견하고 이를 수학적인 방법으로 법칙을 찾아내거나 해결하는 능력을 말한다. 이러한 인간인지 능력과 유사한 인공지능 시스템을 개발하는데 있어서 핵심적 도전은 비구조적 데이터(unstructured data)로부터 그 개체들(object)과 그들간의 관계(relation)에 대해 추론하는 능력을 부여하는 것이라고 할 수 있다. 지금까지 딥러닝(deep learning) 방법은 구조화 되지 않은 데이터로부터 문제를 해결하는 엄청난 진보를 가져왔지만, 명시적으로 개체간의 관계를 고려하지 않고 이를 수행해왔다. 최근 발표된 구조화되지 않은 데이터로부터 복잡한 관계 추론을 수행하는 심층신경망(deep neural networks)은 관계추론(relational reasoning)의 시도를 이해하는데 기대할 만한 접근법을 보여주고 있다. 그 첫 번째는 관계추론을 위한 간단한 신경망 모듈(A simple neural network module for relational reasoning) 인 RN(Relation Networks)이고, 두 번째는 시각적 관찰을 기반으로 실제대상의 미래 상태를 예측하는 범용 목적의 VIN(Visual Interaction Networks)이다. 관계 추론을 수행하는 이들 심층신경망(deep neural networks)은 세상을 객체(objects)와 그들의 관계(their relations)라는 체계로 분해하고, 신경망(neural networks)이 피상적으로는 매우 달라 보이지만 근본적으로는 공통관계를 갖는 장면들에 대하여 객체와 관계라는 새로운 결합(combinations)을 일반화할 수 있는 강력한 추론 능력(powerful ability to reason)을 보유할 수 있다는 것을 보여주고 있다. 본 논문에서는 관계 추론을 수행하는 심층신경망(deep neural networks) 중에서 Sort-of-CLEVR 데이터 셋(dataset)을 사용하여 RN(Relation Networks)의 성능을 재현 및 관찰해 보았으며, 더 나아가 파라미터(parameters) 튜닝을 통하여 RN(Relation Networks) 모델의 성능 개선방법을 제시하여 보았다.

• Journal of Science Education
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• v.37 no.1
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• pp.68-78
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• 2013

Until now, research to integrate art activities and science education have been making steady progress in the field of primary education and early childhood education that are directly involved in the art education of students. However, some science educators were interested in visualizing the artifacts by using design principles and experimental results through STEAM education. So, when conducting lessons for integrating science education with art activities, research is needed on the changing of the students' ability. Therefore, the purpose of this study is to investigate the effect of science experiments in collaboration with art activities for students' self-directed learning skills and creative personality in elementary school. This study was applied to 30 students(16 male, 14 female) of 4th grade in Changwon C elementary school. The teaching materials of this study was extracted some of the experiments from the 2007 revised national curriculum in elementary science textbook and 'Teachers for Exciting Science'. Experimental treatment was performed over a total of 10 class 5 subjects and a pre-post test was conducted through G-TAGAS. As a result, science experiments in collaboration with art activities have improved significantly students' self-directed learning skills and creative personality.

• Journal of the Korean Society of Earth Science Education
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• v.12 no.1
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• pp.64-81
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• 2019

The purpose of this study is to analyze elementary science gifted students' characteristics of the thinking in the problem solving process through a MEA(Model Eliciting Activity)activity. The subjects of this study are 40 elementary science gifted students who passed the first screen for the admission to the science gifted education institute in P university in 2018. The MEA activity was 'Coffee cup challenge', which is to find the best way to place cup side and bottom to save paper in a given material. Three drawings from each student and explanations of each drawing through out the design process were collected as the main data source. The data were analyzed by statistically (correlation coefficient) and qualitatively to find the relationship between; 1) the intuitive thinking and visual representation and 2) analytical thinking ability and communication skills that reflect MEA activities. In conclusion, first, intuitive thinking plays an important role in the ability of visual representation through pictures and the whole problem solving process. Second, the analytical thinking and elaboration process which are reflected through reflection on the arrangement of the drawings have a great influence on the communication skills. Therefore, this study investigated that MEA activities are useful activities to stimulate both intuitive and analytical thinking in elementary science gifted students, and to develop communication ability, by organizing their own ideas and providing learning opportunities for various solutions.

• Journal of Elementary Mathematics Education in Korea
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• v.14 no.3
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• pp.701-722
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• 2010

Students have to investigate, experiment and inquire using the manipulative materials and real-world thing for studying Geometry. Manipulative materials activities encourage to understand mathematical concept and connection of symbol. Experiment activities using the computer focused the student's intuitive and inquisitive activities because of visualization of an abstract mathematics concept. This study developed a workbook through the use of manipulative materials and computer for operating and experimenting, and suggested a method for inquiry of geometrical properties and proved an effect. Manipulative materials-experiment activities was proven effective to middle level and lower level students in understanding the geometrical properties, and was proven effective to high level and lower level students when it comes to mathematical communication ability. When students operate, at first, they have to know about the feature and information of the materials, and the teacher has to make an elaborate plan and encourages the students to discuss about this.

• Journal of KIISE:Software and Applications
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• v.28 no.12
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• pp.875-884
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• 2001

Although the self organizing map (SOM) is widely utilized in such fields of data visualization and topology preserving mapping, since it should have the topology fixed before trained, it has some shortcomings that it is difficult to apply it to practical problems, and classification capability is quite low despite better clustering performance. To overcome these points this paper proposes the dynamic topology preserving self-organizing map(DTSOM) that dynamically splits the output nodes on the map and trains them, and attempts to improve the classification capability by combining multiple DTSOMs K-Winner method has been applied to combine DTSOMs which produces K outputs with winner node selection method. This produces even better performance than the conventional combining methods such as majority voting weighting, BKS Bayesian, Borda, Condorect and reliability sum. DTSOM remedies the shortcoming of determining the topology in advance, and the classification rate increases significantly by combing multiple maps trained with different features. Experimental results with handwritten digit recognition indicate that the proposed method works out to problems of conventional SOM effectively so to improve the classification rate to 98.1%.

• Journal of Korea Game Society
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• v.15 no.4
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• pp.189-198
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• 2015

This paper is about a serious game controlled by EEG and motion capture. We developed our game for 2 users competitive and its method is as follows. One player uses a controlling interface using EEG signals based on the premise that the player's facial movements are a depiction of the player's emotion and intensity throughout the game play. The other player uses a controlling interface using kinect's motion capture technology which captures the player's vertical and lateral movements as well as state of running. The game shows the first player's EEG as a real-time graphic along the map on the game screen. The player will then be able to pace himself based on these visualization graphics of his brain activities. This results in higher concentration for the player throughout the game for a better score in the game. In addition, the second player will be able to improve his physical abilities since the game action is based on real movements from the player.

• Journal of the Korea Society of Computer and Information
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• v.18 no.1
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• pp.185-192
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• 2013

The development of hardware, popularization of 3D graphics software could get to easily use 3d graphics tool in the school. And learning difficulties of a shape section increased through more being enforced a shape section of an elementary school. Thus we try to improve learning effectiveness in a shape section using Sketech Up software. To do this, we analyzed existing studies, classified 3D graphics software, provided the selection criteria of vector graphics software. And we explained how to select 3D graphics software. We selected and reorganized the shape contents to use Sketch Up, which make and rotate 3D figures, understand aspects of a shape. And we inserted the content about piling 3D figures in the beginning state of the curriculum. we composed 10 periods and practiced our reorganized curriculum to the teaching and learning using Sketch Up. And we conducted before & after survey to check out t-verified. And we acquired meaningful results statistically. Thus applying Sketch Up to the shape learning can be analyzed effectively.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2006.06a
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• pp.159-181
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• 2006

본 연구에서는 청주와 그 인근 지역에서 정보시스템을 개발하거나 운영하고 있는 업체의 IS 실무자들에게 (1) IS 실무자의 업무 수행 성과, (2) 소프트웨서 및 IT 전문기술수준, (3) IS 지식 및 능력 수준, 그리고 (5) 재교육 수요에 대해서 설문 조사하였다. 본 연구의 조사 대상자들은 주로 Sl(system integration) 업체에 종사하는 IT(information technology) 실무자들과 e-Business를 수행하는 일반 기업에서 전산 업무를 담당하고 있는 실무자들이며, 구체적으로는 전산시스템 운영자, 시스템/데이터베이스 분석/설계자, 어플리케이션/웹 프로그래머, 최종사용자 지원 담당자, e-Business를 위한 IT 지원 인력 등이다. 조사 결과는 다음과 같다. 충북 지역에서 IS 실무자들은 자신들의 업무를 성공적으로 수행하기 위한 지식 및 기술의 다양한 영역에서 광범위하게 지식 및 기술의 결핍을 느끼고 있으며, 자신의 업무 성과가 전반적으로 좋지 않다고 판단하고 있고, 업무 관련 지식 및 기술에 대한 재교육의 필요성을 강하게 느끼고 있다. 또한, 충북 지역의 IS 실무자들은 주된 활동이나 업무가 시스템 개발과 유지보수, 최종 사용자 지원 등의 활동이며, 이에 대한 최신의 기술과 고객 중심의 시각화된 도구(GUI)를 제공하는데 많은 시간을 투자하며, 기존의 반복적인 개발 업무에서 점차 경력이 쌓임에 따라 고객 중심적인 새로운 시스템 개발을 위한 기획과 관리에 많은 관심을 기울이고 있으나, 조직 운영 및 의사결정 등과 같은 기술/지식들에는 낮은 관심을 보였다. IT전문 기술들 중 IS 실무자들이 필요로 하고 보유해야 한다고 응답한 기술들은 대다수가 웹 개발에 관련된 기술이며, IS 실무자들은 대규모 프로젝트의 수행에 필요한 공동 작업 수행 능력의 제고와 그를 위한 재교육에 높은 관심을 나타내었다. 본 조사는 충북의 IS 실무자들을 위한 대학 교육과 재교육을 포함하는 최적의 평생 교육계획 수립을 위한 기초적이고 필수적인 정보를 제공할 것으로 기대된다.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.3
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• pp.297-302
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• 2014

The AR(Augmented Reality) is the technique that make the fusion between real world and virtual object. The augmented object on real world can provide the visualization of digital information to user. Also, the real-time AR system makes the interaction between user and computers. Therefore, the immersion of user be increasing and help the information transfer to user with AR system. In this paper, we implement the AR system with the modeled VRML as a three-dimensional object using programming language. The application technique is proposed that augment the various virtual clothes to three-dimensional avatar. Moreover, we propose the novel interface by using marker that can be increase the immersion of user.

• Communications for Statistical Applications and Methods
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• v.18 no.2
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• pp.171-177
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• 2011

In order to construct approximation functions for real data, it is necessary to remove the outliers from the measured raw data before constructing the model. Conventionally, visualization and maximum residual error have been used for outlier detection, but they often fail to detect outliers for nonlinear functions with multidimensional input. Although the standard support vector regression based outlier detection methods for nonlinear function with multidimensional input have achieved good performance, they have practical issues in computational cost and parameter adjustments. In this paper we propose a practical approach to outlier detection using support vector regression that reduces computational time and defines outlier threshold suitably. We apply this approach to real data examples for validity.