Search Results - "Loper, M. L."

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  1. 1

    Lessons from a conceptual modeling exercise by Loper, M. L., Birta, L. G., Arbez, G.

    “…There is considerable need to educate students in the process of developing conceptual models within the modeling and simulation discipline. The challenge is…”
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    Conference Proceeding
  2. 2

    Educating the workforce: M&S professional education by Loper, M. L., Diem, J. W., Henninger, Amy, Petty, Mikel D., Tolk, Andreas

    “…As Modeling & Simulation (M&S) becomes increasingly important, there is a significant and growing need to educate and train M&S practitioners and researchers…”
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    Conference Proceeding
  3. 3
  4. 4

    DIS today [Distributed interactive simulation] by Hofer, R.C., Loper, M.L.

    Published in Proceedings of the IEEE (01-08-1995)
    “…As the power and potential to create robust distributed interactive simulation (DIS) environments using the technical principles introduced by the SIMNET…”
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    Journal Article
  5. 5

    Modeling an emergency operations center with agents by Loper, M.L., Presnell, B.

    “…The Georgia Emergency Management Agency (GEMA) operates the State Operations Center, which is the centralized hub for all communications regarding state…”
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    Conference Proceeding
  6. 6

    Traffic characterization of manned-simulators and computer generated forces in DIS exercises by Cheung, S.E., Loper, M.L.

    “…Distributed interactive simulation (DIS) is an ambitious attempt to seamlessly integrate heterogeneous simulators of various fidelity levels via a…”
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    Conference Proceeding
  7. 7

    Exploiting temporal uncertainty in process-oriented distributed simulations by Loper, Margaret L., Fujimoto, Richard M.

    “…Existing research has defined a new type of simulation time called Approximate Time, where the simulation's knowledge about the values that represent time is…”
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    Conference Proceeding
  8. 8

    Pre-sampling as an approach for exploiting temporal uncertainty by Loper, M.L., Fujimoto, R.M.

    “…We describe an approach to exploit temporal uncertainty in parallel and distributed simulation by utilizing time intervals rather than precise time stamps…”
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    Conference Proceeding