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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.
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Universal Multivariate Information Measures for Multisensor Inference (UMIMMI)SBC: BOSTON FUSION CORP Topic: AF16AT29
Automatic target recognition (ATR)the identification of a potential target based on signatures in sensor datais fundamentally a question of information content. While ATR has been studied for decades, it remains a challenge because multifarious tar...STTR Phase I 2016 Department of DefenseAir Force
M-PATCHES: Measurement of Performance And Team Coordination in Heterogeneous EnvironmentsSBC: APTIMA INC Topic: AF16AT09
The Air Support Operations Center (ASOC) is a complex sociotechnical system that requires teams to coordinate to effectively manage both routine and crisis events. Maintaining readiness within this environment is challenging due to the variety of tasks a...STTR Phase I 2016 Department of DefenseAir Force
Highly-mobile Autonomous Rapidly Relocatable Integrated Electro-optical Resources (HARRIER)SBC: Exoanalytic Solutions, Inc. Topic: AF16AT05
ExoAnalytic Solutions, teamed with Texas A&M University, will develop Highly-mobile Autonomous Rapidly Relocatable Integrated Electro-optical Resources (HARRIER) with the goal being to design and demonstrate tracking of resident space objects (RSOs) in n...STTR Phase I 2016 Department of DefenseAir Force
Integrated Adaptive Control with Thermal and Power Management System for Gas Turbine EnginersSBC: INTELLIGENT FIBER OPTIC SYSTEMS CORP Topic: AF16AT16
Future gas turbine propulsion designs, in addition to incorporating variable geometrical engine features, will require controlling and integrating large power generation/extraction, as well as, managing thermal limits of the components. The engine contro...STTR Phase I 2016 Department of DefenseAir Force
Intelligent and Multiplexable Ultra-High-Temperature Fiber-Optic Pressure Sensors for Robust Distributed Engine ControlSBC: INTELLIGENT FIBER OPTIC SYSTEMS CORP Topic: AF16AT18
Next-generation intelligent engines will operate at higher temperatures for increased efficiency and will migrate from centralized to distributed control. There is critical need for sensors for operation at ultra-high temperatures (3000F). Conven...STTR Phase I 2016 Department of DefenseAir Force
Hypersonic Experimental Aerothermoelastic Test (HEAT)SBC: Global Aerospace Corporation Topic: AF16AT24
The Air Force is interested in developing technology that would enable long duration hypersonic flight with reusable aircraft. Hypersonic flow presents many design challenges that can be encapsulated into an aerothermoelastic problem, i.e., a complex dyn...STTR Phase I 2016 Department of DefenseAir Force
Higher Order Mesh Generation for Simulation of Complex SystemsSBC: HYPERCOMP INC Topic: AF14AT07
In this program, HyPerComp and University of Michigan have teamedtogether to develop a high-order grid generator for Euler and viscousmeshes. The grid generator is based on HyPerComps successful generalpurpose CAD2Mesh software and is being integrated with HyPerCompsHDphysics and U. Michigans XFlow DG high-order solvers. High-order gridgeneration methods are being implemented to accurately capture ...STTR Phase II 2016 Department of DefenseAir Force
Novel Polymer-Derived Carbide and Boride Refractory CeramicsSBC: TRITON SYSTEMS, INC. Topic: AF16AT26
Triton is proposing to develop a family of preceramic polymers and polymer formulations that will produce group 4 (Zr and Hf) carbides and carbide/boride mixtures in good yield. The target yield for the program is 60 vol%. The goal is to develop material...STTR Phase I 2016 Department of DefenseAir Force
ENHANCING MOTION IMAGERY CLASSIFIERS BY PRINCIPAL COMPONENT FEATURE CLUSTERINGSBC: LONGSHORTWAY INC. Topic: AF15AT35
LongShortWay Inc. and Northeastern University propose a family of feature reduction and ensemble classifier methods based on Principal Component and Dynamic Logic feature clustering algorithms. New methods combine feature clustering with non-linear feature reduction via manifold learning, and bagging, boosting, and stacking ensemble algorithms.STTR Phase II 2016 Department of DefenseAir Force