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 ...

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 ...

The goal of this Phase I proposal is to develop a synthetic, low cost, and benign simulant for biowarfare agents (BWA) to be used in the testing of standoff sensors. Orono Spectral Solutions Inc. (OSS) has performed preliminary work leading to the identification of benign ingredients that, when combined in a predefined mass ratio, mimic UV-Vis and infrared signatures of BG spores. This work was pe ...

The overall goal of this Phase I project is to demonstrate the feasibility of an infrared transparent, micro-fluidic sampling system that will lead to a field-deployable detection system capable of detecting low ppb levels of chemical warfare (CW) agents in water. To accomplish this goal, the proposed detection system will combine high surface area, organically modified mesoporous oxide absorptiv ...

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 ...

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 ...

The rapid ascent and adoption of social media as the dominant form of communication has led to significant analysis challenges. In particular, there is a gap in theoretically informed methods to analyze data mined and collected from social media. One primary cause of this gap is the lack of fusing structural sources of information (e.g. social network topology) with non-structural sources (message ...

Sciperio with team members Georgia Institute of Technology and Centecorp have teamed up to develop an Additive Manufacturing Composite using nano and micro fillers. The team will develop multi-scale models that are supported by experimental characterization for advanced 3D Printable materials. Inelastic response of high strength hierarchical structures composed of engineered materials and specif ...

The project will remove a key difficulty that currently hampers many existing methods for computing unsteady electromagnetic waves on unbounded regions. Numerical accuracy and/or stability may deteriorate over long times due to the treatment of artificial outer boundaries. We propose to develop a universal algorithm and software that will correct this problem by employing the Huygens'principl ...

This Phase I program is focused on enhancement of the performance of MgZnO based solar blind detectors. MgZnO alloys have superior optoelectronic properties with bandgaps suitable for solar blind detection. Issues related to doping and miscibility will be addressed. This will involve the use of advanced MOCVD and MBE growth techniques and consideration of both Schottky and p-n junction devices. No ...