Award Data

The accurate identification of seafood species and origin has become an extremely important topic in the food industry. Mislabeling a lower valued seafood product to represent a species of higher value constitute economic fraud. In addition, this mislabeling compromises proper geographic origin labeling and fishery management efforts. DNA barcoding for seafood species identification provides re ...

NOAA has identified a problem with the display and usability of satellite imagery on NWS websites. This proposal provides analysis of the feasibility and usability of a proposed system to address this concern. Our goal in the project is to create a heuristically sound conceptual design and tool set for display and interaction with satellite imagery on the NWS site. The project will also explore ...

To build a climate-smart and resilient nation, we need to foster a climate-literate public that understands its vulnerabilities to a changing climate and makes informed decisions. A core component of this challenge is to develop simple, intuitive and high-impact visualizations of climate data--data that is and will be made available through the President’s Climate Data Initiative--for education ...

The traditional view of arithmetic operations dominating the computational cost of numerical algorithms has changed. As performance of new processors increases, we are moving into a new reality in which data movement is expensive and operations are becoming nearly free. In Phase I we discovered a new theory of data compression with unprecedented capability to reduce data movement in distributed HP ...

In the near future we will see the development of space mission architectures where multiple spacecraft work cooperatively as a cluster to achieve mission objectives. Fault management (FM) is a critical challenge that must be addressed, especially when multiple spacecraft are working in proximity. Automatic fault management reduces the effort required by the ground crew when faults occur, and it ...

A novel design for an in situ air sampling sensor for CO2 and trace gases is proposed. The sensor, named AirCore, provides the advantages of existing in situ sensors (e.g. high resolution) but eliminates possible biases in analysis that often originate from imperfect measurement condition. The AirCore provides a significant savings in cost and weight while increasing the capabilities of existing i ...

The goal of this proposed program through Phase III is to build a space-worthy Drug Stability Analyzer that can determine the extent of drug degradation. It will be able to monitor the drug active pharmaceutical ingredient (API) and its degradation product concentrations as a function of time, as well as determine if a drug is suitable for use. This will be accomplished by designing and building ...

Given that SysML is becoming a standard for model-based systems engineering and Integration (SE&I), system health management (SHM)-related models will either be done in SysML, or be done outside of SysML but enabled by conversion, mapping, and traceability of information across SysML and SHM models. Given that current implementations of SysML are not particularly useful to perform analyses, and th ...

One cannot build a system-level Prognosis and Health Management (PHM) solution by cobbling together a bunch of existing prognostic techniques; it will have a very high rate of false-positive indications. On the other hand, if a system-level health management solution could identify the individual degradations and indictors associated with those degradations, and thereby decouple the problem into s ...

The key innovation of this effort is the development of an Uninhabited Aerial System (UAS) Traffic Manager Evaluator (UTME) specifically targeted at evaluating potential air traffic systems for handling low-altitude UAS flights. It has been estimated that over 90% of future UAS flights will be low altitude (less than 6,000 feet above ground level). At such low altitudes, the conventional air tra ...