List
The Award database is continually updated throughout the year. As a result, data for FY19 is not expected to be complete until April, 2020.
Displaying 1 - 10 of 122 results
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Record 1 TO 122
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Savart Processor Optical Tracker (SPOT)
SBC: Advanced Optical Systems, Inc Topic: N/AN/A
SBIR Phase I 1999 Department of DefenseAir Force -
Thick-Film Fabrication Process for Micro Inertial Measurement Units
SBC: AEGIS TECHNOLOGIES GROUP, INC., THE Topic: N/AN/A
SBIR Phase I 1999 Department of DefenseDefense Advanced Research Projects Agency -
Flexible, Thin Films with Low Sheet Resistance and High Transparency
SBC: AEGIS TECHNOLOGIES GROUP, INC., THE Topic: N/AN/A
SBIR Phase I 1999 Department of DefenseDefense Advanced Research Projects Agency -
LADAR Scene Projection for Hardware-in-the-Loop Testing
SBC: AEGIS TECHNOLOGIES GROUP, INC., THE Topic: N/AN/A
SBIR Phase I 1999 Department of DefenseAir Force -
Low-cost Reusable Conventional Launch Vehicle Using LOX/LNG Propellants
SBC: APPLIED ASTRONAUTICS CORP. Topic: N/AN/A
SBIR Phase I 1999 Department of DefenseAir Force -
Testability and Certification of Complex Software in Total Ship Computer Environments
SBC: ARCHITECTURE TECHNOLOGY CORPORATION Topic: N/AN/A
SBIR Phase I 1999 Department of DefenseNavy -
Smart Active Networks for Mobile Wireless Environments
SBC: ARCHITECTURE TECHNOLOGY CORPORATION Topic: N/AN/A
SBIR Phase I 1999 Department of DefenseNavy -
N/A
SBC: ARCHITECTURE TECHNOLOGY CORPORATION Topic: N/AN/A
SBIR Phase II 1999 Department of DefenseDefense Advanced Research Projects Agency -
N/A
SBC: ARCHITECTURE TECHNOLOGY CORPORATION Topic: N/AN/A
SBIR Phase II 1999 Department of DefenseAir Force -
Secure, Compressed Multimedia Data over Variable Bit Rate, ATM Adaptation Layer (AAL) Algorithm
SBC: ARCHITECTURE TECHNOLOGY CORPORATION Topic: N/ANot Available Missile defense systems rely heavily on plume signature recognition to help identify and neutralize hostile missiles. Unfortunately, plume signature modeling has proven to be extremely difficult, with modelers struggling to obtain good agreement between predictions and data. The modeled exhaust conditions display a significant lack of fidelity as compared to the actual constituents ...
SBIR Phase I 1999 Department of DefenseArmy
