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 ...

This proposal from Climate Forecast Applications Network addresses the challenge of providing business-relevant subseasonal forecasts for the energy and agricultural sectors, including applications to renewable energy. An innovative multi-model prediction system using the CFSv2 and ECMWF forecasts will be developed to exploit the advantages of each model. An interactive web-based dashboard system ...

The DOD has a need to leverage state of the art technologies remotely detect, collect, and evaluate physiological signals of interest. Applications and concepts-of-operations (CONOPs) that would benefit from this capability include, but are not limited to: building-clearing, warfighter health monitoring or battle damage assessment and triage, situational awareness and assessment. The main goal o ...

The objective of this research is to enable pre-process milling parameter selection for"first part correct"production. In the proposed solution the Receptance Coupling Substructure Analysis (RCSA) approach will be used to couple the measured spindle-machine dynamics to models of the tool and holder and predict the assembly"s dynamic response. Given this information, frequency/time-domain algorithm ...

As an alternative to near-obsolete double-base or triple-base propellants, Digital Solid State Propulsion (DSSP) is developing Electric Solid Propellants (ESP) as a safe, green, higher performance highly manufacturable alternative for high velocity electro-thermal-chemical (ETC) gun rounds. These electric energetic materials are inherently safe, with ignition only possible via the sustained suppl ...

As an alternative to double-base propellants we propose electric solid propellants (ESP) as a safe, green, higher performance alternative to double-base propellants for high velocity electro thermal chemical (ETC) canons. These new energetic materials are inherently safe, with ignition only possible via the sustained supply of electrical power and not by spark, flame or even bullet impact. A maj ...

CPU technology has progressed to a point of diminishing marginal returns in its current direction. The great success of the highly pipelined sequential processor has now become a hindrance to the efficient scalability for the evolutionary escape route of cookie-cutter chip multi-processor (CMP) designs. RISC instruction sets exist because they are easy to decode and pipeline, but they have relativ ...

This project describes research that will lead to the commercialization of the Tool Dashboard, a new technique for pre-process milling parameter selection. In this approach, dynamic models of the cutting tool and holder will be analytically coupled to spindle-machine measurements to predict the tool point dynamics. Given this information, stability lobe diagrams, which display stable and unstable ...

Existing machine tool metrology methods measure the quasistatic errors of a machine tool and, thus, evaluate its static positioning accuracy. Yet machine tools are dynamic, they do not stop and pause in an effort to reach a programmed position. Additionally, current techniques do not identify all of the errors, many of which significantly impact the volumetric accuracy of the machine. Almost immed ...

In modern battlespace, deployment of chemical and biological agents by our adversaries is a threat that needs to be addressed. These agents are cheap to manufacture and easily available. Their effects can be devastating to our troops. Detecting chemical and biological agents often require bulky equipment in a laboratory. Identifying the agents could take many minutes in such facilities. A more eff ...