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Gas Cloud Simulation

A simulation of how a gas cloud that has been observed approaching the supermassive black hole at the centre of the galaxy.

Advanced Test Reactor Simulation

Advanced simulation capabilities can model reactors, such as INL's Advanced Test Reactor shown here, from atomic scales to full-sized reactor assemblies.

Underwater EVA Simulation

Underwater simulation of extravehicular activity (EVA).

Combat Simulation

A screen capture depicts a combat situation in a digital world during a command post exercise inside the Joint Multinational Simulations Center.

Motorcycle Simulator

Testing motorcycle simulator at the Pentagon to get a feel for how the bike would handle some situations.

Wake Turbulence Simulation

Wake turbulence simulation for an Airbus A340 on final approach, just before touchdown.

Driving Conditions Simulator

View from the cockpit of the simulator. Multiple screens provide a view similar to what one would see in a snowplow on the road.

Molecules Simulation

Dynamic computer simulations of molecular systems.

Global Aerosols Simulation

This portrait of global aerosols was produced by a Goddard Earth Observing System Model, Version 5 (GEOS-5) simulation at a 10-kilometer resolution.

Driving Simulation

Simulation for driving training.

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Special Interest Group (SIG) on SImulation and Modeling (SIM)
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Introduction to Modeling and Simulation


Osman Balci

Department of Computer Science
Virginia Polytechnic Institute and State University (Virginia Tech)
Blacksburg, VA 24061, USA


Course Contents


  Overview of M&S Areas
  Example Visual Simulations
  Video of a Demonstration of Distributed Interactive Simulation (DIS) for Military Training
Modeling Fundamentals: Concepts of Models and Systems, Concepts of Modeling, Classifications of Models
Solving Problems Using Monte Carlo Simulation
M&S Life Cycle
  Osman Balci (2012), “A Life Cycle for Modeling and Simulation,” Simulation: Transactions of the Society for Modeling and Simulation International 88, 7, 870–883.

Verification and Validation (V&V) and Quality Assurance (QA) throughout the M&S Life Cycle
Problem Formulation
  Osman Balci and Richard E. Nance (1985), “Formulated Problem Verification as an Explicit Requirement of Model Credibility,” Simulation 45, 2 (Aug.), 76-86.

M&S Requirements Engineering
  Osman Balci and William F. Ormsby (2000), “Well-Defined Intended Uses: An Explicit Requirement for Accreditation of Modeling and Simulation Applications,” In Proceedings of the 2000 Winter Simulation Conference (Orlando, FL, Dec. 10-13). IEEE, Piscataway, NJ, pp. 849-854.

  Simulation Model Intended Use Documentation Template and Guidelines
  Use Case Documentation Template and Guidelines
Conceptual Modeling
  Osman Balci, James D. Arthur, and William F. Ormsby (2011), “Achieving Reusability and Composability with a Simulation Conceptual Model,” Journal of Simulation 5, 3 (Aug.), 157-165.

  Osman Balci and William F. Ormsby (2007), “Conceptual Modeling for Designing Large-Scale Simulations,” Journal of Simulation 1, 3 (Aug.), 175–186.

Architecting a Network-Centric M&S Application
  Amine Chigani and Osman Balci (2012), “The Process of Architecting for Software / System Engineering,” International Journal of System of Systems Engineering 3, 1, 1-23.

  David S. Myers and Osman Balci (2009), “A Web-Based Visual Simulation Architecture,” International Journal of Modelling and Simulation 29, 2, 137-148.

  Osman Balci and William F. Ormsby (2008), “Network-Centric Military System Architecture Assessment Methodology,” International Journal of System of Systems Engineering 1, 1-2, 271-292.

  The U.S. Department of Defense Architecture Framework (DoDAF) Version 2.0
Design of an M&S Application
Simulation Input Data Modeling
M&S Implementation / Programming
  Osman Balci, Anders I. Bertelrud, Charles M. Esterbrook, and Richard E. Nance (1998), “Visual Simulation Environment,” In Proceedings of the 1998 Winter Simulation Conference (Washington, DC, Dec. 13-16). IEEE, Piscataway, NJ, pp. 279-287.

Random Number Generation
Random Variate Generation
  Mohammad Sabah and Osman Balci (2005), “Web-based Random Variate Generation for Stochastic Simulations,” International Journal of Simulation and Process Modelling 1, 1-2, 16-25.

  Video of a Demonstration of the Random Variate Generation Web Service

Procedural Programming Conceptual Frameworks
  Osman Balci (1988), “The Implementation of Four Conceptual Frameworks for Simulation Modeling in High-Level Languages,” In Proceedings of the 1988 Winter Simulation Conference (San Diego, CA, Dec. 12-14). IEEE, Piscataway, NJ, pp. 287-295.

M&S Application Integration
Experimentation with, Exercise or Use of an M&S Application
Presentation of M&S Project Results
Certification of an M&S Application
  Osman Balci (2001), “A Methodology for Certification of Modeling and Simulation Applications,” ACM Transactions on Modeling and Computer Simulation (TOMACS) 11, 4 (Oct.), 352-377.

Storage and Reuse of Certified M&S Applications
Principles of Verification, Validation, Quality Assurance, and Certification of M&S Applications
  Osman Balci (2010), “Golden Rules of Verification, Validation, Testing, and Certification of Modeling and Simulation Applications,” SCS M&S Magazine, Oct. 2010 Issue 4, The Society for Modeling and Simulation International (SCS), Vista, CA.

M&S Verification, Validation, and Testing Techniques
  Osman Balci (1998), “Verification, Validation, and Testing”, In The Handbook of Simulation, J. Banks, Editor, John Wiley & Sons, New York, NY, August, Chapter 10, pp. 335-393.


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