Award Data

We propose a novel two-dimensional mass spectrometry (2D-MS) technique based on ion trap arrays to identify illicit and designer drugs. This approach will give an unprecedented multiplex advantage for miniature mass spectrometry, allowing novice field technicians to rapidly identify drugs affecting the central nervous system based on both the m/z ratio and fragmentation pattern of an ion. Towards ...

Newer techniques in data collection such as Lidar and photogrammetry can provide large quantities of accurate and up-to-date source data models in operational areas, but transforming this often massive amount of raw source data into a lightweight 3D representation that can be quickly consumed by defense customers using a web browser or mobile devices remains a challenging problem. While point clou ...

Guild Associates, Inc. proposes to develop and evaluate an active electrochemical sensor based residual life indicator (RLI) for adsorptive carbon filters. The sensing system of the RLI will operate by analyzing the electrochemical state of the carbon within the filter and evaluate the remaining adsorptive reactive capacities of the filter. The sensor design will be challenged against an array of ...

Creating comprehensive geospatial datasets requires that National Geospatial Agency (NGA) analysts spend large amounts of time searching for, delineating, and labeling non-moving features in overhead imagery. This tiresome and tedious task can negatively impact not only the analysts’ work satisfaction but also the resulting data quality. Fortunately, recent advances in gamification and crowdsour ...

The NGA requires an automatic, unsupervised SAR feature extraction (AUFE) technique, that can ultimately be deployed for geospatial analysis, modeling, and target detection. Our proposed “SAR Unsupervised and Robust Feature ExtractoR” (SURFER) solution includes in Phase I: (1) a sound and deterministic assessment of the underlying RF phenomenology and SAR processing theoretical basis for effec ...