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ANALYSIS OF BALLISTIC RANGE DATA USING ARTIFICIAL INTELLIGENCE

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: N/A
Agency Tracking Number: 9463
Amount: $120,050.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 1990
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
Po Box 4218
South Burlington, VT 05401
United States
DUNS: N/A
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Wayne Hathaway
 (802) 865-3460
Business Contact
Phone: () -
Research Institution
N/A
Abstract

THE ANALYSIS OF AEROBALLISTIC RANGE DATA IS A TEDIOUS AND TECHNICALLY CHALLENGING TASK. THE SOPHISTICATED ANALYSIS PROCEDURES AND REQUIRED SOFTWARE (COMPUTER PROGRAMS) HAVE BEEN REFINED EXTENSIVELY DURING THE PAST FIFTEEN TO TWENTY YEARS WITH THE ADDITION OF THE SIX-DEGREE-OF-FREEDOM CODES EMPLOYING THE MAXIMUM LIKELIHOOD METHOD. THE REQUIRED PROFICIENCY TAKES BETWEEN THREE AND FIVE YEARS UNDER THE TUTELEDGE OF AN EXPERT AEROBALLISTICIAN. THE INCORPORATION OF A USER FRIENDLY EXPERT SYSTEM INTO THE CURRENT AEROBALLISTIC RANGE DATA ANALYSIS PROCEDURES WILL ENHANCE THE QUALITY AND TIMELINESS OF THE REPORTED RESULTS, WHILE AT THE SAME TIME REQUIRE LESS ENGINEERING MANPOWER, THEREBY REDUCING COST. ARROW TECH AND WPI HAVE DEVELOPED A COMPREHENSIVE PLAN WHICH WILL RESULT IN A SUCCESSFUL DEMONSTRATION OF AN AI EXPERT SYSTEM CAPABLE OF GUIDING THE USER THROUGH THE PROCESS OF DEVELOPING THE PROPER INPUTS WHICH ASSURE AN APPROPRIATE LINEAR THEORY ANALYSIS, AND FEEDBACK WITH RESPECT TO INTERPRETATION OF THE RESULTS.

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

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