DOI QR코드

DOI QR Code

교전급 시뮬레이션 시스템의 통제를 위한 사용자 개입

User Intervention for Controllable Engagement Simulation System

  • Ham, Won K. (Department of Industrial Engineering, Ajou University) ;
  • Chung, Yongho (Department of Industrial Engineering, Ajou University) ;
  • Park, Sang C. (Department of Industrial Engineering, Ajou University)
  • 투고 : 2013.07.09
  • 심사 : 2013.11.07
  • 발행 : 2013.12.15

초록

This paper introduces user intervention to control simulation states during the execution of a simulation for military engagements. In an engagement simulation, it covers both a discrete event system and a continuous state system. Thus a system for the engagement simulation can have numerous simulation states, because there are lots of factors to decide states of an engagement that are derived during an execution of the simulation (e. g. detection probability, moving speed, moving path, and so on). It means both a result and progression of simulations are important outputs. Configuration of an engagement simulation scenario and expectation of simulation states, though, is hindered by the number of generate-able states. In order to solve the obstacle, the engagement simulation system should be controllable by user intervention during a simulation execution. This paper is to define objects of user intervention, and to design control processes of defined objects.

키워드

참고문헌

  1. Ahn, E., Ko, M., Cheon, S. U., and Park, S. C. (2013), A Proposal of Scenario Generation Process for Small Scale Engagement, Transaction of the Society of CAD/CAM Engineers, 18(2), 104-112. https://doi.org/10.7315/CADCAM.2013.104
  2. Bradley, D. L. and Stern, R. (2008), Underwater Sound and the Marine Mammal Acoustic Environment : A Guide to Fundamental Principles, U. S. Marine Mammal Commsision.
  3. Cha, J. S. (2007), Application of Defense M&S, Journal of IEEK, 25 (11), 102-108.
  4. Choi, S.-Y. (2008), Future and Technology Development of Defense Modeling and Simulation, The magazine of the IEEK, 35(10), 1157-1166.
  5. Choi, S. Y. and Pyun, J. J. (2008), Development Outlook and Concepts of SBA(Suimulation Based Acquisition), Journal of KIISE, 26(11), 6-12.
  6. DOSITS (2012), How fast does sound travel?, University of Rhode Island, URL : http://www.dosits.org/science/soundmovement/sofar/.
  7. Hawley, P. A. and Blauwkamp, R. A. (2010), Six-Degree-of-Freedom Digital Simulations for Missile Guidance, Navigation, and Control, Johns hopkins APL technical digest, 29(1), 71-84.
  8. Hill, R. R. and McIntyre, G. A. (2001), Applications of Discrete Event Simulation Modeling To Military Problems, Proceedings of the 2001 winter simulation conference.
  9. Hwam, W. K., Kim, J-H., Na, Y-N., Cheon, S. U., and Park, S. C. (2012), Generation of the Battlefield in Distributed Simulation System Based on Synthetic Environment Representation and Interchange Standard(SEDRIS), Journal of Information Technology and Architecture, 9(3), 253-263.
  10. Keane, J. F., Lutz, R. R., Myers S. E., and Coolahan J. E. (2000), An Architecture for Simulation Based Acquisition, Johns Hopkins APL Technical Digest, 21(3), 348-358.
  11. Kim, T. G. (2009), DEVSIM++ v3.0 User's Manual, KAIST.
  12. Lee, D. J. and Hong, Y. G. (2007), Agent Based Modeling and Simulation for Command and Control, Journal of KSS, 16(3), 39-48.
  13. MAK, V. T. (2011), VR-Forces User Guide.
  14. MSCO (2012), Description of M&SCO, URL : http://www.msco.mil/descMSCO.html.
  15. Park, S. C., Kwon, Y., Seong, K., and Pyun, J. (2010), Simulation Framework for Small Scale Engagement, Computer and Industrial Engineering, 59, 463-472. https://doi.org/10.1016/j.cie.2010.06.003
  16. Park, S. C. and Seong, K. Y. (2010), A Synthetic Environment Based Engagement Simulation Model, Transactions of the Society of CAD/CAM Engineers, 15(4), 271-278.
  17. Park, S., Shin, H., Lee, T., and Choi, B. (2010), Design of the Agentbased Network-Centric Warfare Modeling System, Journal of KSS, 19(4), 271-280.
  18. ROKSA (2007), History of War, Global Books, Korea.
  19. Son, M. J. and Kim, T. W. (2012), Torpedo Evasion Simulation of Underwater Vehicle using Fuzzy-Logic-based Tactical Decision Making in Script Tactics Manager, Expert Systems with Applications, 39(9), 7995-8012. https://doi.org/10.1016/j.eswa.2012.01.113
  20. Virtual Prototypes Inc (1999), STAGE Technical Overview.
  21. Yoon, S. (2004), Analysis of Current Military Modeling/Simulation Technology and Ways to Improve, Study of Korean Defense Policy, 63, 1-32.