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Intelligent Data Retrieval and Analysis Tool for the Testing and Evaluation of Aircraft and Rotorcraft in Proximity to Ships

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00421-05-C-0030
Agency Tracking Number: N041-016-1719
Amount: $523,410.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: N04-016
Solicitation Number: 2004.1
Timeline
Solicitation Year: 2004
Award Year: 2005
Award Start Date (Proposal Award Date): 2005-01-26
Award End Date (Contract End Date): 2007-01-26
Small Business Information
605 Ellis Street, Suite 200
Mountain View, CA 94043
United States
DUNS: 050514736
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Michael Mendenhall
 Principal Investigator
 (650) 968-9457
 mrm@nearinc.com
Business Contact
 Michael Mendenhall
Title: Vice President
Phone: (650) 968-9457
Email: info@nearinc.com
Research Institution
N/A
Abstract

Testing and Evaluation (T&E) is crucial in determining the operational limits of air vehicles aboard various classes of ships. The cost of conventional testing of air vehicles and ships continues to escalate in a world of tightening project budgets; therefore, the required flight testing time must be decreased by pursuing efforts which optimize the use of existing and future data and that support other approaches such as analytic models and wind tunnel tests. The proposed work will create an intelligent data retrieval and archiving tool which supports real and virtual testing of aircraft and rotorcraft aboard various classes of ships. The tool will assist the T&E engineer in the development and implementation of test plans for the evaluation and certification of aircraft and rotorcraft both in and out of the vicinity of ships. It will operate over a network allowing geographically dispersed test team members access during all test phases and will provide access to externally distributed data. The proposed tool will incorporate a knowledge-based system to identify and evaluate relevant data sets pertinent to a specific task; data query methods will be used for data extraction.

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

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