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SBC: TIER 1 PERFORMANCE SOLUTIONS LLC Topic: AF16AT08
There are many challenges in creating Air Force systems that are resilient against cyber threats. The cyber environment and its threats are highly dynamic, requiring practices and training to be dynamic as well. Cyber threats must be considered during th...STTR Phase I 2016 Department of DefenseAir Force
SBC: 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
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: CFD RESEARCH CORPORATION Topic: AF16AT14
Next-generation turbulent combustion models must enable accurate prediction of lean blow-out and flashback for complex geometries, fuels and operating conditions relevant to the Air Force. Improved models are needed to better predict kinetically and hydr...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: 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: MICROELECTRONICS RESEARCH DEVELOPMENT CORPORATION Topic: AF16AT17
Micro-RDC proposes to demonstrate the feasibility of developing low-cost, low-weight, reliable packaging materials and processes to produce low-power advanced Integrated Circuits (ICs) that can operate continuously at temperatures between -55C and +225...STTR Phase I 2016 Department of DefenseAir Force
SBC: GLOBAL CIRCUIT INNOVATIONS INC Topic: AF16AT17
Global Circuit Innovations (GCIs) die extraction and reassembly technology(DER) generated initial interest in and demand by the commercial industry through demonstrating the value of remanufacturing an original integrated circuit (IC) from a plas...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