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SBC: COLDQUANTA, INC. Topic: AF17AT028
ColdQuanta is partnering with Dr. Zoya Popovic at the University of Colorado, Boulder, to develop a three-dimensional quantum-enhanced radio-frequency (RF) signal sensor and direction finder. Our approach combine Rydberg-atom-based RF electrometry and discrete lens arrays (DLAs) of planar antennas. The DLA will serve as a Fourier optic for an incident wave, and a Rydberg-atom RF electrometer will ...STTR Phase I 2018 Department of DefenseAir Force
SBC: Global Aerospace Corporation Topic: AF16AT24
The U.S. Air Force is interested in developing hypersonic vehicles including reusable transport aircraft, cruise missiles, and unmanned systems. Hypersonic flight regimes result in multifaceted and very difficult design challenges that can be encapsulated into an aerothermoelastic problem, which is a complex interaction of structural, thermal, and aerodynamic mechanisms. When a flexible structural ...STTR Phase II 2018 Department of DefenseAir Force
SBC: METROLASER, INCORPORATED Topic: AF16AT06
A diagnostic is proposed for obtaining instantaneous three-dimensional volumetric distributions of density in a flow field at velocities ranging from subsonic to supersonic. Multiple Sheet Filtered Rayleigh Scattering (MSFRS) will be developed, which enables a series of two-dimensional images to be rapidly obtained making up a volumetric image while suppressing background scattering from wind tunn ...STTR Phase II 2018 Department of DefenseAir Force
Subspace Tracking and Manifold Learning Based Heterogeneous Data Fusion for Unexpected Event DiscoverySBC: INTELLIGENT FUSION TECHNOLOGY, INC. Topic: AF16AT12
We aim to develop data-driven heterogeneous data fusion approaches for unanticipated event/target detection, which will be more robust and immune to model mismatch problems encountered by model-based approaches. Considering the low intrinsic dimensionality of the sensor data, we propose several data-level fusion approaches based on some state-of-the-art dimensionality reduction techniques. For lin ...STTR Phase I 2016 Department of DefenseAir Force
SBC: KickView Corporation Topic: AF16AT12
Improving feature extraction, event detection, and target classification in multi-sensor systems requires new mathematical methods and processing techniques. In addition, previous research and experience suggests that leveraging sensor data that has not experienced significant dimensionality reduction can preserve subtle features when processed jointly with other relevant data. However, traditiona ...STTR Phase I 2016 Department of DefenseAir Force
SBC: Enig Associates, Inc. Topic: AF15AT22
Enig Associates, Inc., a small business providing advanced modeling and simulation capabilities to the DoD and DoE, is proposing an innovative and novel electrical approach, using explosive-driven flux compression generators to Joule heat light metal load in sub millisecond time scale from a solid metal state to a first ionization plasma state going through multi-phase transitions to generate an a ...STTR Phase II 2016 Department of DefenseAir Force
SBC: Analysis and Applications Associates, Inc. Topic: AF15AT40
EO/IR sensors can provide high spatial resolution images using multiple frequency bands ranging from the visible to mid-wave IR. EO/IR sensors have been very successful for terrain imaging from subsonic aircraft and from satellites. Imaging using these platforms has been studied extensively. EO/IR sensors can provide high spatial resolution images using multiple frequency bands ranging from the v ...STTR Phase II 2016 Department of DefenseAir Force
SBC: UTOPIACOMPRESSION,CORPORATION Topic: AF15AT34
Unmanned aircraft systems (UAS) are increasingly seen as a cornerstone in developing the future Defense infrastructure and it is critical that they collaborate efficiently and execute complex missions in denied environments. Although great progress has been made in GPS-denied navigation, the target handoff problem in GPS-denied environments has not been extensively studied. In this problem, a trac ...STTR Phase II 2016 Department of DefenseAir Force
SBC: 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
Environmentally-Compliant Kinetic Metallization Coating Materials for Corrosion and Wear Protection of Military Aircraft and Weapon SystemsSBC: INNOVATIVE TECHNOLOGY INC Topic: AF15AT31
Coating materials and coating methods used to protect U.S. military aircraft and weapon systems from corrosion and wear are in need of environmentally benign alternatives in order to keep up with dynamic regulations associated with environment, safety, and occupational health. Thus, the Air Force is supporting research to develop alternatives to the dangerous materials identified on the OSD Emergi ...STTR Phase II 2016 Department of DefenseAir Force