Award Data

deciBel Research and our university partner, Rochester Institute of Technology (RIT)-Center for Imaging Science, propose to develop a dual MWIR/LWIR imaging polarimeter for the detection and discrimination of aerosolized biological spores. The system will exploit spectral absorption and MIE scattering-induced radiometric and polarimetric phenomenon exhibited by clouds of aerosolized biological spo ...

Topological data analysis is a new mathematical method used to study these massive data sets that arise in a variety of situations including military operations and national security. The use of passive infrared sensors for a wide area detection system involving chemical and biological contaminants produces massive amounts of hyperspectral image data. Recent research in this area include fast al ...

This Small Business Technology Transfer Research program will develop narrow band plasmonic resonant cavity filters with integrated microbolometer sensors operating in the long wave infrared (LWIR) atmospheric transmission band for IR absorption measurements of low concentration chemicals. IR spectroscopy can identify a wide range of contaminants, including chemical/biological warfare agents, exp ...

This proposed project is to develop a rapid assay for T-2 Toxin. Under this project we will develop DIPAIN-derivative based test-strips that indicate the presence of trace quantities of trichothecene mycotoxins in aqueous solutions. The T-2 toxin will be used as a test case for this effort. We will use of 2-(diphenylacetyl)-l,3-indanedione-l-hydrazone (DIPAIN II) and its derivatives as reagents o ...

New Jersey Microsystems proposes to develop an economical thermopile array with sensitivity maximum in the long wave infrared region (LWIR). Current infrared detectors are too expensive to be widely deployed in large numbers. The proposed MEMS technology is simpler, more manufacturable, and therefore less expensive than bolometer and ferroelectric devices with competitive D* sensitivity. The th ...

Highly scalable parallel random number generators (RNGs) will be developed, evaluated and implemented for use in high performance computing on thousands of multi-core processors and general purpose graphics processing units. The main contributions are: (a) design and implementation of new parallel test methods that capture the inter-stream correlations exhibited in practice and complement the curr ...

This proposal addresses key open challenges identified during the LAGR program for the practical use of adaptive, vision-based robot navigation in commercial settings. First, the adaptive vision system learns quickly, but forgets as quickly. This will be addressed by using an ensemble of "expert" classifiers, each of which specializes for a particular environment and can be quickly activated when ...

Sensor development researchers and engineers have perpetually sought novel methods to reduce sensor size and improve performance. Continued miniaturization of sensors through micromachining has enabled novel applications and introduced new paradigms for engineered systems to interact with the world. The challenge has always been to improve performance while continually reducing size. In the cur ...

Accurate real-time waterborne pathogen detection is of paramount importance to security of U.S. military forces and installations. Fieldable high-throughput pathogen concentration is a critical analytical need for enhanced detection performance. Existing concentration methods are time-consuming, bulky, labor-intensive, power- and reagent-hungry, and consequently ill-suited for battlefield deployme ...