Award Data

Navy needs a real-time graph embedding tool for analyzing huge graphs (millions of nodes and billions of edges) from diverse sources. However, current approaches cannot provide dynamic and scalable graph analytics to signify the military value of tactical data. In this project, InfoBeyond advocates EStreaming (Embedding & Streaming) for scalable and efficient graph streaming. EStreaming promotes b ...

Makel Engineering, Inc. and Sandia National Laboratories propose to demonstrate an advanced multi-modal sensor system suitable for in-situ analysis of exhaled VOCs for pilots, divers and field patients. Our proposed system will combine a micro-gas chromatograph (GC) and miniature ion mobility spectrometer (IMS) for detection of trace amounts of exhaled breath VOCs with miniature solid state sensor ...

The goal of this program is to develop and construct a thin, light weight, low power, large aperture, electro-optic (EO) transmissive scanner that utilizes electro-optically active nanomaterial structures, suitable for UAVs platform. The nano-material beam-steering technology aperture system offers an ultra-thin Size, Weight, and Power (SWAP) to fit on UAV;s airframe and achieve ultrafast and wide ...

Filamentation of ultra-short laser pulse propagation in non-linear media offers significant potentials allowing to address numerous problems in military and commercial sectors. However, practical implementation of this requires an ability to control the USLP at its propagation through inhomogeneous media, like turbulent atmosphere. On the basis of our approach for combating turbulence effects on p ...

BaySpec Inc., in collaboration with Pacific Northwest National Laboratory, proposes to develop an innovative orthogonal sensor systemthat would be able to detect, identify and quantify the inorganic components of breathing mixes, (i.e., nitrogen, oxygen, carbon dioxide, argon, helium, and water vapor), as well as individual detectable VOCs within the exhaled breath in real-time. The Phase I resear ...

OKSI and Northwestern University propose to develop a super-resolution (SR) methodology for mid-wave infrared (MWIR) imagery that produces extreme enhancement of low resolution images. Image enhancement of at least 4x is expected using a standard imaging system. OKSI and Northwestern University will also develop a detector-limited imaging system specifically designed to be used with the SR methodo ...

OKSI and Professor Matthew Taylor will develop the Cognitive Adaptation and Mission Optimization (CAMO) command and control tool for teams of UAS platforms. CAMO will incorporate existing databases (e.g., NASA population maps, FAA airspace maps, etc.) as well as real-time data from UAS into a learning-based cognitive control solution that maximizes mission performance while minimizing risk for a t ...

Karagozian & Case, Inc. (K&C) and the Georgia Institute of Technology (Georgia Tech) will develop a re-usable, cost-effective, and accurate dynamic characterization methodology capable of measuring the dynamic material properties of various materials of interest under very high strain rates. Materials property data for various ductile materials (e.g., steel and aluminum) are required as input to f ...

Modern defense systems place high cognitive demands on warfighters, often taxing the limit of human capabilities and causing operators to suffer Acute Cognitive Strain (ACS), wherein performance deteriorates markedly, leading to a loss of situational awareness and control, and decrements in team cooperativity. ACS leads to physiological changes driven by sympathetic system activation, including i ...

Subsequent Phase II Proposal, extension of Phase II contract N00039-12-C-0082. This contract involves the development of an underwater vehicle that can reliably and autonomously interconnect power and data cables to undersea nodes after they have been deployed. The Auto-Docking Autonomous Burial Vehicle (AD-ABV) is a cable-connecting adaptation of Makai’s proven ABV, which has been successfully ...