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ANALYSIS OF BALLISTIC RANGE DATA USING ARTIFICIAL INTELLIGENCE

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
9463
Program Year/Program:
1990 / SBIR
Agency Tracking Number:
9463
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Arrow Tech Associates, Inc.
1233 Shelburne Road; D-8 South Burlington, VT 05403
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 1990
Title: ANALYSIS OF BALLISTIC RANGE DATA USING ARTIFICIAL INTELLIGENCE
Agency / Branch: DOD / USAF
Contract: N/A
Award Amount: $120,050.00
 

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.

Principal Investigator:

Wayne Hathaway
8028653460

Business Contact:

Small Business Information at Submission:

Arrow Tech Associates
Po Box 4218 South Burlington, VT 05401

EIN/Tax ID:
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No