• Proceedings of the Korean Information Science Society Conference
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• 1998.10a
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• pp.659-661
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• 1998

다목적위성 관제 시스템의 한 부분만 위성운용 서브시스템의 실시간 처리 성능을 분석하기 위한 알고리즘과 이를 구현한 프로그램이 개발되었다. 이 프로그램은 위성운용 서브시스템에서 발생되는 event들과 이에 대한 response들의 속성에 관한 파라미터 값이 입력되었을 때, 각 event의 반응 시간과 스케줄 가능성을 계산하고 스케줄된 event들을 시각화한다. 실험 결과, event의 blocking delay, 주기 및 첫 action의 우선 순위가 해당 event 또는 다른 event의 반응 시간에 많은 영향을 준다는 것이 밝혀졌다.

• Proceeding of EDISON Challenge
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• 2015.03a
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• pp.201-206
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• 2015

이 논문에서는 역학적 지식파 EDISON 구조동역학 서버에서 지원하는 이공계 교육 및 연구용 시뮬레이션 프로그램 중 Co-rotational Plane Beam with Arbitrary Section을 이용하여 캔틸레버 보의 처짐을 기하 비선형적으로 해석한다. 또한 해석에 사용된 프로그램이 실제 교육에 적용이 가능한 지를 고찰함에 그 목적이 있다. 처짐을 해석하기 위하여 수계산, 프로그램을 이용하여 얻은 결과값을 비교하였고 캔틸레버 보의 변화 형상을 시각화 하였다.

• The Journal of the Korea Contents Association
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• v.13 no.2
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• pp.19-31
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• 2013

Since the high readable source codes help us to understand and modify the program, it is much easy to maintain them. The readability of source code is not only affected by the complexity of algorithms such as control structures but also affected by the coding styles such as naming and indentation. Although various coding standards have been presented for promoting the readability of source codes, it has been usually lost or ignored in a programming course. One of the reasons is that the coding standard is not a hard-and-false rule since it does not contribute to the performance of software. In this paper, we propose a simple automatic system, namely StyleJigsaw, which checks the style of the source codes written by C/C++ or Java. In this system, the coding style score is calculated and visualized as a jigsaw puzzle. To measure the educational effectiveness of StyleJigsaw, several experiments have been conducted on a class students in C++ programming course. According to the experimental results, the coding style score increased about 8.0 points(10.9%) on average using StyleJigsaw. Further, according to a questionnaire survey targeting the students who attended the programming course, about 88.5% of the students responded that StyleJigsaw was of help to learn the coding standards. We expect that the StyleJigsaw can be effectively used to encourage the students to obey the coding standards, resulting in high readable programs.

• Spatial Information Research
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• v.23 no.2
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• pp.21-29
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• 2015

Recently, according to the increasingly populated data, many media and organizations focus on big data, data visualization, information visualization and infographics. Domestically, Chosun.com and Hankyoreh online have improved on the data visualization field and internationally, the Guardian, Wall Street Journal, and New York Times are the leading companies on that area. Until now, many people have recognized infographics as a design-oriented product in Korea. However, one of significant data visualization programs, Tableau Public, can visualize data more efficiently. In this paper, Data Visualization Methods Quadrant for Policy Making is defined, and data analysis and producing infographics are executed. As used data, World Bank open source was adopted and using the number of passenger cars per 1,000 people, two analysis results are extracted. First, in high income group, the more GNI per capita, the lesser Slope is represented and in mid income group, the more GNI per capita positively affects to Slope. Second, in the global finance crisis, the car ownership rate was about 1.7 times than the usual state in the global economy. Through the case study, this paper suggests that the direction of producing infographics should be changed from design-oriented to data-oriented. Moreover, the data-oriented infographics should be propagated as means of scientific research and policy making.

• Journal of the Korean Chemical Society
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• v.53 no.2
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• pp.166-174
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• 2009

Quantum chemistry has many concepts that are either abstract or counterintuitive, giving students difficulties in understanding them. Fortunately, the advancement of web technologies provides us with hordes of powerful tools to produce rich multimedia web applications that supplement traditional classroom teaching. In this paper we present an approach to address this issue that combines interactive simulations and visualization on the web browser using Shockwave technology. With several examples, we show how to take advantage of the features of the Shockwave technology in developing web-based course material with ease.

• Journal of the Korea Computer Graphics Society
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• v.20 no.4
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• pp.1-7
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• 2014

The volume rendering has become an important technique in many applications along with hardware development. Understanding and perception of volume visualization benefit from visual cues which are available from shading. Better visual cues can be obtained from global illumination models but it's huge amount of computation and extra GPU memory need cause a lack of interactivity. In this paper, in order to improve visual cues on volume rendering, we propose an image space occlusion shading model which requires no additional resources.

• Journal of the Korean earth science society
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• v.45 no.3
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• pp.173-191
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• 2024

Typhoons are significant meteorological phenomena that cause interactions among the ocean, atmosphere, and land within Earth's system. In particular, wind speed, a key characteristic of typhoons, is influenced by various factors such as central pressure, trajectory, and sea surface temperature. Therefore, a comprehensive understanding based on actual observational data is essential. In the 2015 revised secondary school textbooks, typhoon wind speed is presented through text and illustrations; hence, exploratory activities that promote a deeper understanding of wind speed are necessary. In this study, we developed a data visualization program with a graphical user interface (GUI) to facilitate the understanding of typhoon wind speeds with simple operations during the teaching-learning process. The program utilizes red-green-blue (RGB) image data of Typhoons Mawar, Guchol, and Bolaven -which occurred in 2023- from the Korean geostationary satellite GEO-KOMPSAT-2A (GK-2A) as the input data. The program is designed to calculate typhoon wind speeds by inputting cloud movement coordinates around the typhoon and visualizes the wind speed distribution by inputting parameters such as central pressure, storm radius, and maximum wind speed. The GUI-based program developed in this study can be applied to typhoons observed by GK-2A without errors and enables scientific exploration based on actual observations beyond the limitations of textbooks. This allows students and teachers to collect, process, analyze, and visualize real observational data without needing a paid program or professional coding knowledge. This approach is expected to foster digital literacy, an essential competency for the future.

• Proceedings of the Korea Society for Simulation Conference
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• 2000.04a
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• pp.148-152
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• 2000

본 연구는 사용자 인터페이스를 고려한 시뮬레이션 방법을 이용한 단거리 미사일시스템의 성능 평가모델의 연구이다. 주요 접근 방법으로 먼저 시스템성능산정을 위한 시뮬레이션 방법을 제시하였으며 이는 관련 Data를 수집하고 이로부터 미사일의 폭발지점을 산정하고 표적의 피해산출을 위한 방법과 종합표적살상확률을 산정하는 방법 등을 포함하였다. 다음 단계로 사용자를 위한 그래픽 사용자 인터페이스(Graphic User Interface)를 고려한 입출력과정을 시각화환경으로 구현하였다. 본 연구를 위하여 전산프로그램을 개발하고 가상 Data를 이용한 예를 들고 결과를 보였다.

• Journal of KIISE:Software and Applications
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• v.30 no.7_8
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• pp.696-702
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• 2003

This paper presents a static analysis based on set-based framework which estimates exception propagation paths of Java programs, and a visualization tool which visualizes propagation paths of exceptions using the static analysis information. We have implemented the exception propagation analysis and a visualization tool, which can guide programmers to handle exceptions more effectively.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.290-293
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• 2017

최근 IoT 기술발달로 인한 스마트폰 및 대용량 미디어기기 사용증가로 인터넷 네트워크 사용량이 폭발적으로 증가되고 있고, 이러한 데이터 사용량 급증으로 대량의 데이터를 지칭하는 빅데이터 수집 및 분석에 많은 기업과 정부가 주목하고 있다. 빅데이터는 기존에 없던 새로운 데이터의 구축이 아니며, 그동안 축적된 다방면의 방대한 데이터의 집합이라 할 수 있다. 빅데이터의 이용 및 분석에 대한 기업 정부 학계의 수요는 증가하고 있지만, 고난도의 빅데이터 분석을 위한 인프라 구축이 선결과제이어서, 이러한 인프라구축 비용 때문에 빅데이터 분석이 일선 산업분야에 바로 적용하는데 많은 장애요인이 되어 데이터 분석가들의 빅데이터 분석에 애로사항으로 존재하고 있다. 이러한 어려움을 해소하기 위한 방안으로 새로운 인프라 구축 없이 Google Analytics API를 연동한 R 프로그래밍의 데이터 시각화를 활용한 데이터 분석 방안을 제시하고자 한다. 본 연구에서는 구글 애널리틱스 API를 연동하여 사용자 웹사이트의 사용자접속, 사이트운영, 이벤트 발생 등의 데이터를 R 프로그램을 활용하여 사이트 현황을 데이터 시각화로 분석하고 운영중인 웹사이트에 적용 가능한 콘텐츠 개발 방안에 대해 연구하였다.