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SBC: Arete Associates Topic: ST15C002
It has long been known that analog computers can be faster and more power efficient than digital processors by many orders of magnitude. Until the 1970s analog computers were the dominant controllers in most industrial and military applications. Even today digital processors are still slower and more power consumptive than analog, but offer much more flexibility (programmability) and precision. ...STTR Phase I 2016 Department of DefenseDefense Advanced Research Projects Agency
SBC: Logistic Gliders Inc. Topic: ST14B004
We propose to mature LG-X glider technology by manufacturing full-scaled prototypes and characterizing them in land-based flight-testing by using commercial aircraft to drop the gliders. Validated components such as the landing parachute, folding wing mechanism, and autopilot control system will undergo integrated flight-testing. Logistic Gliders will provide a considerable cost share to support ...STTR Phase II 2016 Department of DefenseDefense Advanced Research Projects Agency
SBC: Morton Photonics Incorporated Topic: A14AT005
In this STTR program, technology created in Professor John Bowers research group at the University of California at Santa Barbara (UCSB) to fabricate silicon photonics based integrated lasers, including wafer bonded III-V gain elements and ultra-low loss silicon nitride waveguides and microresonators, will be utilized to develop ultra-coherent integrated laser devices that are widely tunable. Nov ...STTR Phase II 2016 Department of DefenseDefense Advanced Research Projects Agency
SBC: MAYACHITRA, INC. Topic: N14AT008
Thousands of years of evolution have produced the human vision system that computers cannot replicate well. Humans are still unsurpassed in their ability to search for objects in visual scenes. To successfully detect objects in cluttered scenes, the human brain is thought to rely on multiple factors: prior probabilities of object occurrence, global scene statistics and object co-occurrence. Machin ...STTR Phase II 2015 Department of DefenseNavy
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
Prototype for Rapid Reconstitution for Ground-based Space Situational Awareness Capability for Near-geosynchronous ObjectsSBC: DFM Engineering Inc Topic: AF16AT05
We propose to research the feasibility of rapidly reconstituting a ground based sensor system for space situational awareness with a large fraction of the capability of the GEODSS sensor system. This system can be deployed quickly to a GEODSS site where ...STTR Phase I 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
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: 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