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Methods of utilizing surveillance and reconnaissance assets to enable command and control schema analysis

Published: 03 December 2006 Publication History

Abstract

Using the Army Intelligence Master Plan, we can explain features and concept of operations (CONOPS) of a physics-based analytical toolset that assists decision makers in the planning and development of a command and control schema. The analytical insights determine boundary conditions, identify target and environmental characteristics and adjust behaviors of simulated surveillance assets and combat systems they can direct. Based on observed activity, intent, and capability, the deployed forces can be redirected toward high-valued targets. A discussion of the force development and integration will be provided to satisfy tactical and strategic issues, as well as its applicability to broader theater and campaign level issues. The results of this effort will help define requirements for enhancing command and control, based upon allocation of reconnaissance resources.

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Published In

cover image ACM Conferences
WSC '06: Proceedings of the 38th conference on Winter simulation
December 2006
2429 pages
ISBN:1424405017

Sponsors

  • IIE: Institute of Industrial Engineers
  • ASA: American Statistical Association
  • IEICE ESS: Institute of Electronics, Information and Communication Engineers, Engineering Sciences Society
  • IEEE-CS\DATC: The IEEE Computer Society
  • SIGSIM: ACM Special Interest Group on Simulation and Modeling
  • NIST: National Institute of Standards and Technology
  • (SCS): The Society for Modeling and Simulation International
  • INFORMS-CS: Institute for Operations Research and the Management Sciences-College on Simulation

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Winter Simulation Conference

Publication History

Published: 03 December 2006

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WSC06
Sponsor:
  • IIE
  • ASA
  • IEICE ESS
  • IEEE-CS\DATC
  • SIGSIM
  • NIST
  • (SCS)
  • INFORMS-CS
WSC06: Winter Simulation Conference 2006
December 3 - 6, 2006
California, Monterey

Acceptance Rates

WSC '06 Paper Acceptance Rate 177 of 252 submissions, 70%;
Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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