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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: Metacomp Technologies, Inc. Topic: AF16AT14
The ability of Large-eddy simulation (LES) techniques to accurately predict combustion instabilities and the onset of lean blow-out is not yet firmly established, especially in realistic operating conditions. A number of modeling choices play an importan...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: EDWARD POPE DR Topic: AF16AT26
In this Air Force Phase I STTR program, MATECH proposes to demonstrate novel pre-ceramic polymer systems complimenting the development of Ultra High Temperature (UHT), high ceramic yield, refractory ceramic matrix composites (CMCs). A leader in developme...STTR Phase I 2016 Department of DefenseAir Force
SBC: 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
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. Two variants of laser-based Rayleigh scattering will be investigated, each of wh...STTR Phase I 2016 Department of DefenseAir Force
SBC: VURONYX TECHNOLOGIES LLC Topic: AF16AT27
In this Phase 1 proposal, Vuronyx Technologies in collaboration with Georgia Institute of Technology, Atlanta (GT) intends to fabricate composite panels using high strength and high modulus carbon fibers synthesized from polyacrylonitrile (PAN) precursor...STTR Phase I 2016 Department of DefenseAir Force
SBC: BUSEK CO., INC. Topic: AF16AT20
Busek Co. Inc. and The University of Notre Dame propose to develop room-temperature ionic liquids (ILs) that are robust, non-volatile, transparent, radiation hard, and atmospherically tolerant for use in electrolytes for reversible electroplating applica...STTR Phase I 2016 Department of DefenseAir Force
SBC: FREEDOM PHOTONICS LLC Topic: AF16AT30
allowing the sensitive RF front-end to be located away from the now more compact phased array antenna. We are proposing a rugged photonic integrated spatial division multiplexing RF link for phased array system with low cost, size, weight and power cons...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