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SBC: PHYSICAL SCIENCES INC. Topic: AF14AT13
Physical Sciences Inc. (PSI) and the research group of Professor Richard Osgood at Columbia University propose to develop a compact optical transceiver based on devices fabricated on a complementary metal-oxide semiconductor (CMOS) platform. The recent development of novel integrated structures in silicon including waveguides, resonators, and photodetectors will enable dramatic reductions in size, ...STTR Phase II 2016 Department of DefenseAir Force
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
SBC: Tier 1 Performance Solutions, LLC Topic: AF15AT14
Our Phase I work focused on improving modeling and simulations so that the impact of autonomous systems in the battlespace could be better understood. As we have trained our attention on Phase II, it has become increasingly clear that the work we are doing to improve the modeling and simulation of autonomous systems also provides significant leverage for the development of the intelligent behavior ...STTR Phase II 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: 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: 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
SBC: Third Dimension Technologies LLC Topic: AF16AT07
The Air Force has identified a need for the creation of a common streaming model for 3D data that is agnostic to the display technology. To address this need, Third Dimension Technologies (TDT) and Oak Ridge National Laboratory (ORNL) propose to form a c...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: 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