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  1. Simulation Driven Virtual Reality A Framework for Large Scale Virtual Simulation Lacey Duckworth August 20,2010 Dissertation Dr. Andrew Strelzoff, Chair Dr. TulioSulbaran , Co-Chair Dr. Ray Seyfarth Dr. Nan Wang Dr. Chaoyang Zhang

  2. Agenda • Introduction (slide 1 – hi I’m Lacey), (Slide 2-4 … – this is what I’m working on) • Problem Statement and Objective (slide 5) • Game Plan (informal – build generalized problem decomposition strategy by examination of case studies…) • Methodology • Objctive 1 – trial with Purdue – • Objective 2 – test of generalizable with HAL • Case Study with Purdue University + video • Generalizing Results for a Reusable and Extendible Communication Protocol- extension of traditional client/server • Test Case with Cal Poly University • Impact and Relevance to USACE • Questions

  3. Problem and Objective • Problem • A robust and reusable communication method does not exist to connect external simulation languages with a compelling and accessible client-server Virtual Reality Environments. • Objective • Develop a robust and scalable communication method that connects external simulation languages with client-server Virtual Reality Environments

  4. Reason for selecting Topic • While simulations are currently available in CVRES, the calculations required to execute these simulations bog down the system. • A lot of server time is spent updating the actual environment itself • Implementing simulations using existing methods does not allow for quick changes

  5. Reason for Selecting Topic

  6. Case Study with Purdue University • Partnership • Dr. Randy Rapp • Associate Professor, Purdue University • Disaster Restoration and Reconstruction Management, concentration • Ex-military commander US-ACE • Application • Simulate the phases of construction project excavation while allowing the students to make the selections and give feedback in response to their actions

  7. Case Study with Purdue University • Task: • A simulator for training individuals how to properly excavate a construction site. • Goal: • Present the individual with questions relating to the sequential process of excavating a construction site and show them the how their answer effects the construction site.

  8. Case Study with Purdue University • Dr. Rapp provided specifications necessary to execute the excavation training simulator, three project bid plans, and three soil types. • Task: • A simulator for training individuals how to properly excavate a construction site. • Goal: • Present the individual with questions relating to the sequential process of excavating a construction site and show them the how their answer effects the construction site.

  9. Case Study with Purdue University • Process: • Students are presented with a bid plan and soil type then asked the following questions: • What is the soil type described? • What type of slope should be used? • What is the volume of soil to be excavated? • If all the questions are answered correctly, the construction site is excavated. • If all the questions are answered incorrectly, the construction site is excavated improperly.

  10. Case Study with Purdue University • Implementation Tasks • Developed Project Flow Charted • Preliminary Design • Implementation of the project • Project Testing

  11. Case Study with Purdue University

  12. Case Study with Purdue University

  13. Case Study with Purdue University

  14. Case Study with Purdue University

  15. Case Study with Purdue University

  16. Derived Communication Protocol

  17. Derived Communication Protocol

  18. Derived Communication Protocol This design allows for states to be manipulated or added in an easier fashion

  19. Test Case with Cal Poly • Partnership • Hal • Cal Poly Tech • COINS • An abstract project bid training simulator • All information is abstract with no visual results or intermediate information except raw data.

  20. Test Case with Cal Poly • Game Rules • Players bid on a project by selecting what method of completing the task they feel is best. • Their bids are totally based on the CEU of the project. • A project costing x CEUs correlates to one appropriate method • The user does not know if their selection is correct until the bid period is over

  21. Test Case with Cal Poly • Project Goal • Develop a simulator to show the user what their selection of method will give them in the field. • Project Requirement • Requires connecting to the COINS database and listening for a selection of method. • When a method is selected a simulation is displayed so the user can see what their selection will yield before they actually make the bid .

  22. Questions ?