Award Data

We propose a high-impact innovation for weather forecasting that integrates global ensemble weather forecasts with an AI-driven post-processing model of extreme weather indices. This innovation will provide the basis for skillful probabilistic forecasts of compound extreme weather events at extended lead times. Extreme weather/climate events of relevance to electric utilities focused on in Phase I ...

Temperature is the critical signal that allows monitoring of a myriad of Earth’s processes. From direct measurements of wildfire and urban heat to more complex relationships with drought, agriculture, aquaculture, and biodiversity, maintaining a steady pulse on Earth’s surface temperature enables us to mitigate for and adapt to the impacts of extreme events and increasingly variable water avai ...

The brevetoxins (PbTx) produced by Karenia brevis cause harmful algal blooms (HAB) or "red tide" in seawater. Currently, the only available ways of detecting PbTx are laboratory tests such as enzyme-linked immunosorbent assays, which are expensive and slow, and require complex instrumentation and multiple processing steps. In previous work Intelligent Optical Systems (IOS) demonstrated a compact l ...

Special Operations Forces (SOF) require an intuitive LCNC platform and tailored trainings to enable members of its operational units to prep field data for decision making. SOF are charged with conducting military missions of high significance on behalf of the United States and its allies. SOF encounter a diverse and nuanced series of data during missions and during preceding ISR operations; as su ...

LI-COR proposes to continue development of a next-generation CO2/CH4/H2O analyzer that will offer an unprecedented combination of high precision and stability, making it the first highperformance gas analyzer suitable for long-term unattended operation. The instrument will be smaller, lighter, and far less expensive than competing technologies. LI-COR’s approach exploits a proprietary, revolutio ...

We propose to develop a commercially adequate, robust and perfomant OWL-based Integrity Constraint (IC) validation system with several innovations, including novel debugging and explanation support for data integrity errors; incremental and optimized validation of data integrity; and a unified system for validating structured, semi-structured, and semantic data. A rigorous and formal specification ...

We propose to evaluate tree dominant semantics for description logic integrity constraints, as well as multiple proposals for adding syntax for integrity constraint axioms, to the Web Ontology Language standard, OWL. Further, we propose to implement a semantics, in the form of a syntax compiler and data set validator, in order to establish the feasibility and utility of such work for the validatio ...

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This proposal outlines an SBIR Phase I supercharged uniflow diesel non-gasoline burning outboard engine design capable of diesel fuel operation and lightweight construction. Inherent specific weight penalties of the Diesel cycle being inversely proportional to specific displacement, indicates a scale reduction of these engines demand greater design discipline relative to the combustion physics th ...

OF REACTOR THERMAL-HYDRAULICS CODES. THESE CODES HAVE INTERNATIONAL APPLICABILITY. TRADING THESE CODES, WITH APPROPRIATE SUPPORT, TO OTHER COUNTRIES IN EXCHANGE FOR USEFUL DATA OR OTHER RESOURCES WOULD ENHANCE THEIR UTILITY AND REDUCE THE COST TO THE U.S. OF GENERATING EQUIVALENT DATA. THE OBJECTIVE OF THE PROPOSED EFFORT IS TO PROVIDE A SOUND TECHNICAL BASIS FOR SUCH AN EXCHANGE BY: IDENTIFYING C ...