Dual-Use Visualization Tools For Aircraft System/Subsystem Performance Assessments

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: F33615-02-M-1213
Agency Tracking Number: 021SN-2197
Amount: $99,968.00
Phase: Phase I
Program: SBIR
Awards Year: 2002
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
6785 Hollister Avenue, Goleta, CA, 93117
DUNS: 153927827
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Ronald Grider
 Principal Investigator
 (805) 685-6672
Business Contact
 Linda Sparks
Title: Mgr - Contracts & Legal
Phone: (805) 685-6672
Email: lsparks@fti-net.com
Research Institution
"Modeling and simulation are being utilized extensively for prediction and analysis of aircraft performance, at both the system and subsystem levels. Primary among the challenges of utilizing M&S is that analysis of simulation data requires substantialtime, manpower, and cost to translate the results into meaningful information for rapid system/subsystem design and performance assessment. Since more information can be presented in a given space and is more easily understood when represented visuallyrather than textually, data visualization tools can often be more effective than text-based data reduction methods for increasing productivity and reducing time/cost/manpower in M&S results analysis.FTI proposes to develop a concept in Phase I for an innovative, user friendly, dual-use (military and commercial) visualization technologies and tools system that automatically translates simulation results into high fidelity formats where the analyst canreadily visualize the predicted performance. This system, called "Visualization Integration from Simulations & Tools for Assessment" (VISTA) will address the critical M&S visualization challenges by (1) incorporating the results of investigation andexperimentation with effective dual-use visualization technologies/tools, (2) leveraging existing COTS audio, visual, and data stream near-real-time capture and multi-cast technologies, and (3) leveraging our previous common data object modeling and

* Information listed above is at the time of submission. *

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