Award Data

Traditional active 3D imaging systems, such as airborne and terrestrial lidar scanners, use a transmitter and receiver typically co-located on the same platform and connected in synchronous communications. However, recent advances in laser, detector, and airborne systems technology have opened the door to smaller, higher-performance and significantly lower-cost airborne lidar systems in which it i ...

NLP pipelines available today are getting robust for general language modeling purposes. But domain-specific data, abbreviations and lingos, and text about time or space still need a lot of tuning and training that are well beyond application of standard tool sets. Deep learning for recommendation engines is quite new, and all recommender systems, in particular for specially trained users, tend to ...

The development of sophisticated anti-access/area denial (A2/AD) capabilities by our adversaries requires us to develop long range capabilities to mitigate this A2/AD threat. Extending the range of Over The Horizon Radars beyond their conventional single hop operating mode will potentially provide coverage out to 10000 km and beyond. We propose combining existing state-of-the art HF radar ray prop ...

CMC Pharmaceuticals, Inc. (Cleveland, OH) is proposing developing a stable, combination product of two small molecule drug candidates as a counter measure to chemical warfare nerve agents (NA). The combination product is expected to exploit complementary pharmacological profiles for optimal muscarinic receptor blockade and anticholinergic activity within the peripheral and central nervous system. ...

We propose a novel two-dimensional mass spectrometry (2D-MS) technique based on ion trap arrays to identify illicit and designer drugs. This approach will give an unprecedented multiplex advantage for miniature mass spectrometry, allowing novice field technicians to rapidly identify drugs affecting the central nervous system based on both the m/z ratio and fragmentation pattern of an ion. Towards ...

Newer techniques in data collection such as Lidar and photogrammetry can provide large quantities of accurate and up-to-date source data models in operational areas, but transforming this often massive amount of raw source data into a lightweight 3D representation that can be quickly consumed by defense customers using a web browser or mobile devices remains a challenging problem. While point clou ...

Creating comprehensive geospatial datasets requires that National Geospatial Agency (NGA) analysts spend large amounts of time searching for, delineating, and labeling non-moving features in overhead imagery. This tiresome and tedious task can negatively impact not only the analysts’ work satisfaction but also the resulting data quality. Fortunately, recent advances in gamification and crowdsour ...

The NGA requires an automatic, unsupervised SAR feature extraction (AUFE) technique, that can ultimately be deployed for geospatial analysis, modeling, and target detection. Our proposed “SAR Unsupervised and Robust Feature ExtractoR” (SURFER) solution includes in Phase I: (1) a sound and deterministic assessment of the underlying RF phenomenology and SAR processing theoretical basis for effec ...

Given the benefits of exercise on general health, orally active compounds that can mimic or potentiate the effects of exercise have been of keen interest as therapeutic and dietary ingredients. Our proposed approach for enhancement of USSOCOM Multi-Purpose Canine (MPC) endurance and sensory performance using an exercise mimetic is based on the observation that age-related decline of nicotinamide ...

In the proposed effort, KAC will establish a process for reverse engineering and redesigning foreign weapons, primarily the 7.62x54R PKM and the 12.7x108mm NSV. Our engineers will use laser scanning to reverse engineer weapons from our on-site museum. We will reverse engineer the bolt from the PKM in order to demonstrate the viability of the laser scanner, our engineers, and our machine shop to co ...