Award Data

"Jaia Robotics’ low-cost, micro-sized hybrid uncrewed surface/underwater vehicles called JaiaBotsTM can be deployed from the shore or vessels. The system enables truly affordable multivehicle operations that can be scaled to provide wide area synoptic data collection. In the proposed effort the project team will develop a JaiaBot which is air-deployable from sonobuoy launch tubes to collect atmo ...

A cloud based system for sharing bathymetric survey data collected by FarSounder customers is proposed as a way(1) to improve safety of navigation on our oceans, (2) to collect measurements for the broader scientific and maritime communities and (3) to generally explore and broadly share information about our oceans in fulfillment of ideas proposed in Topic 9.3 “The Changing Ocean”, and in acc ...

"Metron proposes to develop user-friendly software to promote understanding of impacts due to cascading climate hazards and extreme weather events, in collaboration with George Mason University (GMU). Climate and extreme weather (CEW) hazards pose significant risks to life and property. As extreme events become more prevalent, risks associated with cascading, compound events come to the fore, such ...

Anthropogenic Radio-Frequency Interference (RFI), or interference from human-generated sources, continues to plague spaceborne microwave radiometer and sounder instruments. Unmitigated RFI adversely affects the quality and reliability of Earth remote sensing data used for determining water availability, quality, and risk. Proliferation of wireless technologies, Earth-orbiting commercial satellite ...

Advance microelectronic systems and defense electronics require high power electronics such as High voltage and high efficiency power diodes. Ultra-wide band gap (UWBG) devices based on GaN, SiC, Diamond, Ga2O3 have attractive electronic and thermal properties that have positioned them to their full potential with offer savings in both energy and cost in high-power, high-temperature electronic dev ...

Metal Additive Manufacturing (AM) has the potential to reduce DoD sustainment costs and delays through on demand part production. However, at present metal AM build times are too long, often require post-processing treatments, and produce parts of inconsistent quality or with defects. There are multiple factors inherent to LPBF that contribute to the variability of the build and cause defects. Thi ...

In order for manufacturers to unlock the promise of AI for data-driven decision making, they need visibility into large volumes of unstructured knowledge trapped in technical language like work order notes. The process of annotation and knowledge extraction from unstructured technical language data is currently a time consuming and challenging bottleneck to adopting machine learning at scale. In N ...

The proposed innovation uses a model-based approach to streamline understanding and application of standards. NIST standards addressing cybersecurity, presented in the form of documents, spreadsheets, and database tools, provide thousands of complimentary and overlapping items for users to track. Significant effort is expended understanding the standards before attention can be focused on the syst ...

Atmospheric Rivers (AR) transport large volumes of water vapor outside the tropics and, when making landfall, produce large quantities of rain that replenish aquifers, contribute to beneficial increases in snowpack, yet can cause flooding and significant damage to property and lives. Accurate forecasts of precipitation during landfalling ARs are critical because of their large role in water supply ...

InfraTrac aims to demonstrate the viability of spectroscopy as an effective and practical mechanism for assessing the quality of in-pharmacy 3D drug printing, thereby enabling custom compounding by bringing necessary patient safety controls to this new realm. InfraTrac’s research strategy uses state-of-the-art 3D printing of solid dose forms to create test candidates, comparing the results of ha ...