Visualization of the Synthetic Environment Data Representation & Interchange Specification data for verifying large-scale synthetic environment data

被引:1
|
作者
Kang, Yuna [1 ]
Kim, Hyunki [2 ]
Han, Soonhung [3 ]
机构
[1] Agcy Def Dev, R&D Inst 3 1, Daejeon, South Korea
[2] Korea Adv Inst Sci & Technol, Dept Mech Engn, Daejeon, South Korea
[3] Korea Adv Inst Sci & Technol, Dept Ocean Syst Engn, Daejeon, South Korea
关键词
Visualization; Synthetic Environment Data Representation & Interchange Specification; synthetic environmental data; conversion;
D O I
10.1177/1548512914548601
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The need for reusing synthetic environment data that are employed in the field of modeling and simulation has recently been rising. SEDRIS (Synthetic Environment Data Representation & Interchange Specification) is a standard to exchange synthetic environment data, and is the specification utilized in various military simulations of the Pentagon for representing and exchanging three-dimensional data. SEDRIS represents environmental areas based on a data model; it can represent wind speed, wind directions, weather changes, and the information of buildings, as well as terrain data. In some situations, however, the synthetic environment data stored in SEDRIS format should be converted to various visualization formats. Firstly, because SEDRIS is a form of a super-set, it is necessary to verify whether large-scale SEDRIS files are stored successfully through visualization. In addition, the synthetic environment data should be visualized in some visualization programs for the simulation results to provide an immersive and realistic sense. In this study, we suggest several methods for visualizing synthetic environmental data stored in the SEDRIS format. We developed the converters for converting SEDRIS to the several visualization formats and developed the direct visualization programs using an open-source visualization engine. These results allow us to visualize the stored SEDRIS file and to verify whether the saving stage with native data is performed normally or not.
引用
收藏
页码:507 / 518
页数:12
相关论文
共 50 条
  • [1] Synthetic Evironment Data Representation and Interchange Specification (SEDRIS)
    Cox, RM
    Schaefer, JR
    [J]. 16TH INTERNATIONAL CONFERENCE ON INTERACTIVE INFORMATION AND PROCESSING SYSTEMS (IIPS) FOR METEOROLOGY, OCEANOGRAPHY AND HYDROLOGY, 2000, : 62 - 65
  • [2] Large-scale data visualization
    Ma, KL
    [J]. IEEE COMPUTER GRAPHICS AND APPLICATIONS, 2001, 21 (04) : 22 - 23
  • [3] Large-Scale Generation and Validation of Synthetic PMU Data
    Idehen, Ikponmwosa
    Jang, Wonhyeok
    Overbye, Thomas J.
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2020, 11 (05) : 4290 - 4298
  • [4] Data representation for sensor models within a synthetic natural environment (SEDRIS)
    Proctor, MD
    Connors, PE
    [J]. TRANSACTIONS OF THE SOCIETY FOR COMPUTER SIMULATION INTERNATIONAL, 2000, 17 (02): : 46 - 53
  • [5] Large-scale data visualization using parallel data streaming
    Ahrens, J
    Brislawn, K
    Martin, K
    Geveci, B
    Law, CC
    Papka, M
    [J]. IEEE COMPUTER GRAPHICS AND APPLICATIONS, 2001, 21 (04) : 34 - 41
  • [6] Linking Visualization and Scientific Understanding through Interactive Rendering of Large-Scale Data in Parallel Environment
    Cao, Yi
    Wang, Huawei
    Ai, Zhiwei
    [J]. 2015 5TH INTERNATIONAL CONFERENCE ON VIRTUAL REALITY AND VISUALIZATION (ICVRV 2015), 2015, : 260 - 263
  • [7] A distributed execution environment for large data visualization
    Huang, Jian
    Liu, Huadong
    Beck, Micah
    Gao, Jinzhu
    Moore, Terry
    [J]. SCIDAC 2006: SCIENTIFIC DISCOVERY THROUGH ADVANCED COMPUTING, 2006, 46 : 570 - 576
  • [8] BitDew: A Programmable Environment for Large-Scale Data Management and Distribution
    Fedak, Gilles
    He, Haiwu
    Cappello, Franck
    [J]. INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS, 2008, : 138 - +
  • [9] Agent paradigm in clinical large-scale data mining environment
    Ouali, A
    Ramdane-Cherif, Z
    Ramdane-Cherif, A
    Levy, N
    Krebs, MO
    [J]. SECOND IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS, PROCEEDINGS, 2003, : 143 - 150
  • [10] Failure data analysis of a large-scale heterogeneous server environment
    Sahoo, RK
    Sivasubramaniam, A
    Squillante, MS
    Zhang, YY
    [J]. 2004 INTERNATIONAL CONFERENCE ON DEPENDABLE SYSTEMS AND NETWORKS, PROCEEDINGS, 2004, : 772 - 781