Award Data

We propose a novel computational framework for discrimination that incorporates sensor data from observations of the engagement and from kill assessment (KA) that such sensors can provide. The KA information is combined with data from other sensors to improve the discrimination decision and to reduce the probability of correlated shots. Approved for Public Release 16-MDA-8620 (1 April 16)

DeepDive is a system for extracting relational databases from dark data: the mass of text, tables, and images that are widely collected and stored but which cannot be exploited by standard relational tools. If the information in dark data --- scientific papers, Web classified ads, customer service notes, and so on --- were instead in a relational database, it would give analysts access to a massiv ...

Advanced infrared imaging techniques are of great interest but associated high costs of III-V and II-VI SWIR and MWIR materials prohibit their widespread deployment and integration with other optoelectronic devices. Freedom Photonics and its team partner...

The goal of this program is to design a lightweight optical bench capable of remaining stable under temperature and moisture changes, while isolating the precision optical array from vibrations such as engine noise and air turbulence. By integrating a customizable periodic stack in the bench, vibrations are attenuated more effectively than commercially available mounts. Additionally, the periodic ...

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 ...

Achieving strong and durable polymer adhesion to inorganic substrates under various environmental conditions is challenging. The required long-term durability tests are over long time- and length-scales, beyond the capability of current modeling, and extensive experimental testing is needed. Currently, no commercially available method exists for monitoring how a polymer/substrate system evolves du ...

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 ...

Using advanced ion optics that was developed by Pacific Northwest National Laboratory (PNNL), BaySpec will develop a prototype of portable mass spectrometer (less than 40 lb. and 300W) with continuous atmospheric pressure inlet that is fully capable of uninterrupted on-line sampling from an ambient environment. The continuous nature of the inlet ensures full compatibility with separation technique ...

In this effort, tOSC and the University of New Mexico COSMIAC (Configurable Space Microsys- tems Innovation Applications Center) will combine to generate a Target-in-the-Loop (TIL) system concept that can simultaneously measure the strength of atmospheric turbulence and scintillation, as well as the refractivity occurring at the measurement time. For this system concept, we will leverage existing ...

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...