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http://dx.doi.org/10.15701/kcgs.2018.24.3.21

Visualization System for Natural Disaster Data  

Kim, Jongyong (Department of Multimedia, Dongguk University)
Jeong, Seokcheol (Department of Multimedia, Dongguk University)
Lee, Gyeweon (Department of Multimedia, Dongguk University)
Cho, Joonyoung (Department of Multimedia, Dongguk University)
Kim, Dongwook (Department of Multimedia, Dongguk University)
Park, Sanghun (Department of Multimedia, Dongguk University)
Publication Information
Journal of the Korea Computer Graphics Society / v.24, no.3, 2018 , pp. 21-31 More about this Journal
Abstract
We introduces a system that enables fast and effective visualization of natural disaster data such as typhoons, tsunamis, floods, and flooding to help make informed decisions in disaster situations. Data containing disaster information consists of a few hundred megabytes to many tens and hundreds of gigabytes, which can not be handled by a PC. This system was implemented in the form of a client-server based service to generate and output results from high-performance servers. The server in a built-in, high-performance cluster handles client requests and sends the result of visualization to the client. Clients can receive the results in any form of images, videos, or 3D graphic model by specifying a desired time frame, effectively viewing the results with a user-friendly GUI.
Keywords
Scientific visualization; Natural disaster data; Parallel.distributed computing; Client-Server computing;
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  • Reference
1 J. Kruger and R. Westermann, "Acceleration techniques for gpu-based volume rendering," in Proceedings of the 14th IEEE Visualization 2003 (VIS'03). IEEE Computer Society, 2003, p. 38.
2 B. Wylie, C. Pavlakos, V. Lewis, and K. Moreland, "Scalable rendering on pc clusters," IEEE Computer Graphics and Applications, vol. 21, no. 4, pp. 62-69, 2001.   DOI
3 W. Wong and J. Lee, Statistical analysis of geographic information with ArcView GIS and ArcGIS. Wiley, 2005.
4 정석철, 정서원, 김종용, and 박상훈, "지구환경 데이터를 위한멀티플랫폼가시화시스템," 컴퓨터그래픽스학회논문지, vol. 21, no. 3, pp. 36-45, 2015.
5 J. Bayer, O. Flege, P. Knauber, R. Laqua, D. Muthig, K. Schmid, T. Widen, and J.-M. DeBaud, "Pulse: A methodology to develop software product lines," in Proceedings of the 1999 symposium on Software reusability. ACM, 1999, pp. 122-131.
6 S. L. Olivier, A. K. Porterfield, K. B. Wheeler, and J. F. Prins, "Scheduling task parallelism on multi-socket multicore systems," in Proceedings of the 1st International Workshop on Runtime and Operating Systems for Supercomputers. ACM, 2011, pp. 49-56.
7 NetCDF, http://www.unidata.ucar.edu/, 2015.
8 VTK, http://www.vtk.org/, 2016.
9 Unity3d, https://unity3d.com/, 2018.
10 C. Ware, "Color sequences for univariate maps: Theory, experiments and principles," IEEE Computer Graphics and Applications, vol. 8, no. 5, pp. 41-49, 1988.   DOI
11 K. Nishihashi, T. Higaki, K. Okabe, B. Raytchev, T. Tamaki, and K. Kaneda, "Volume rendering using grid computing for large-scale volume data," International Journal of CAD/CAM, vol. 9, no. 1, pp. 111-120, 2009.
12 X. Zhou, R. T. Collins, T. Kanade, and P. Metes, "A masterslave system to acquire biometric imagery of humans at distance," in First ACM SIGMM international workshop on Video surveillance. ACM, 2003, pp. 113-120.
13 W. Gropp, R. Thakur, and E. Lusk, Using MPI-2: Advanced features of the message passing interface. MIT press, 1999.
14 S. Lee, S.-J. Min, and R. Eigenmann, "Openmp to gpgpu: a compiler framework for automatic translation and optimization," ACM Sigplan Notices, vol. 44, no. 4, pp. 101-110, 2009.   DOI
15 CUDA, https://developer.nvidia.com/cuda-zone/, 2015.
16 M. Levoy, "Efficient ray tracing of volume data," ACM Transactions on Graphics (TOG), vol. 9, no. 3, pp. 245-261, 1990.   DOI
17 H. Edelsbrunner, Geometry and topology for mesh generation. Cambridge University Press, 2001, vol. 7.
18 N. Gorelick, "Google earth engine," in AGU Fall Meeting Abstracts, 2012.
19 D. Eberly, "Triangulation by ear clipping," Geometric Tools, 2008.