• KIPS Transactions on Software and Data Engineering
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• v.5 no.6
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• pp.273-282
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• 2016

Visualization tool can be divided by three components - data I/O, visual transformation and interactive rendering. In this paper, we present requirements of three major components on visualization tools for massive scientific dataset and propose strategies to develop the tool which satisfies those requirements. In particular, we present how to utilize open source softwares to efficiently realize our goal. Furthermore, we also study the way to combine several open source softwares which are separately made to produce a single visualization software and optimize it for realtime visualization of massiv espatio-temporal scientific dataset. Finally, we propose a distributed shared memory based scientific visualization tool which is called "GLOVE". We present a performance comparison among GLOVE and well known open source visualization tools such as ParaView and VisIt.

• Journal of the Korean Society of Visualization
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• v.8 no.2
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• pp.3-13
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• 2010

• Journal of the Korean Society of Visualization
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• v.14 no.1
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• pp.9-14
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• 2016

• Journal of the Korean Society of Visualization
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• v.19 no.3
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• pp.3-14
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• 2021

• The KIPS Transactions:PartA
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• v.16A no.3
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• pp.153-158
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• 2009

Analysis of 3-dimensional (3D) protein structure plays an important role of structural bioinformatics. The protein structure visualization is the one of the structural bioinformatics and the most fundamental problem. As the number of known protein structure increases rapidly and the study of protein-protein interaction is prevalent, the fast visualization of large scale protein structure becomes essential. The fast protein structure visualization system we proposed is sophisticated and well designed visualization system using geometry instancing technique. Because this system is optimized for recent 3D graphics hardware using geometry instancing technique, its rendering speed is faster than other visualization tools.

• Journal of the Korean Society of Marine Environment & Safety
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• v.21 no.2
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• pp.215-222
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• 2015

To improve the ocean waves of the ship maneuvering simulator, we study and summarize the visualization elements of the ocean waves and the overall direction of their implementation in detail. We categorize the visualization elements of the ocean waves into five groups, including wave surface, wave breaking, interaction, lighting effects, and underwater. We also analyze the design and implementation issues of the visualization of the ocean waves for ship maneuvering simulator with respect to realistic and real-time ocean visualization, ship dynamics, and application purposes. Through the analysis, we have found that the realistic visualization of ocean waves plays an important role in the generation of immersiveness, more accurate ship motion, and the various and controllable simulation scenarios for the ship maneuvering simulator. Additionally, we have confirmed that there are many visualization elements, methods, and limitations to be considered for the visualization of the ocean waves for ship maneuvering simulator, and we have concluded that the systematic design is required before implementation.

• Journal of the Korean Society of Visualization
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• v.2 no.2
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• pp.16-19
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• 2004

• Proceedings of the Korea Multimedia Society Conference
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• 2000.04a
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• pp.429-432
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• 2000

일반사용자들이 쉽게 웹을 통하여 컴퓨터 그래픽스, 이미지(CT, MARI) 컴퓨터공학, 지리정보, 수치적 통계, 데이터분석 데이터를 그래픽으로 표현하고자 한다. VRML Visualization Server 구축하여 웹 기반 Visualizer 설계한다. 궁극적으로는 가시화의 실시간 표현에 있다. 모델링 기법에 있어서는 객체지향 그래픽 라이브러인 Visualization Toolkit을 이용하여 데이터의 Surface, Contour, Plane, Streamline, Probe 등을 구현하며, VRML 파일형태로 변환하여 클라이언트 웹으로 보내지게된다. 클라이언트 측 웹은 자신이 원하는 형태의 가시화 항목들을 선택하면 HTTP 에 의해 Visualization Server로 전송되어지고 Server의 ISAP는 전송되어져온 가시화항목을 가지고 가시화하여 VRML화일 형식으로 클라이언트 측으로 보내게된다.

• Journal of the Korean Society of Visualization
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• v.1 no.1
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• pp.22-27
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• 2003

• Journal of the Korean Society of Visualization
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• v.4 no.1
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• pp.3-7
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• 2006

This study reviews on the classification of the scientific visualization and the tools in ocean-atmospheric sciences. We have classified scientific visualization according to the purpose and data size; the visualization tools used commonly in the field are also enlisted. The examples of visualization using scalar and vector data are presented, and their distinctions are noted. Lastly, it is contemplated on the near future trend in the field and provided future directions.