Award Data

Detection systems for aeropathogens require the concentration of airborne particles from large volumes of air into small volumes of liquid. This proposal addresses this need through droplet encapsulation of airborne particles, with subsequent capture into a microliter-sized collection reservoir. Droplet encapsulation is accomplished through our company¿s proven, patented growth tube technology. T ...

Alameda Applied Sciences Corp proposes to develop a fast pulse, portable, fast neutron source to detect SNM in the field. Our source offers a 20ns neutron pulse with a repetition rate up to 1kHz. The goal is to develop a source with 1000hrs of continuous operation at 1E8 n/s. The Ph I program will demonstrate the critical features of the source including pulse width, reproducibility and neutron yi ...

We propose to develop a portable, rugged, handheld multi-gas sensor that is well within the solicitation requirements. We will leverage a mature class of mass sensors that include, for example: quartz crystal microbalances (QCMs) and capacitive micromachined ultrasonic transducers (CMUTs). These sensors boast extraordinary sensitivity to changes in mass (e.g., 50 femtograms for CMUTs) and are u ...

Multi-energy radiography is a promising Non-Intrusive Inspection (NII) technique for detection of Special Nuclear Materials (SNM). RadiaBeam Technologies proposes to develop an ultra-high repetition rate commercial linac system capable of pushing the multipleenergy pulse repetition rate above 1 KHz. The proposed approach utilizes an innovative, proprietary design and manufacturing technique devel ...

This proposal addresses the need for detection of multiple biological threats in a manner that mitigates the current challenges with short analysis times without environmental interferences. This proposal will lead to a near-real-time in-situ reagentless portable sensor that enables detection and identification of multiple biological threats using deep UV laser induced native fluorescence/Raman sp ...

The team of Signature Research, Inc. and Michigan Technological University will develop and demonstrate methods and metrics to evaluate the performance of machine learning-based computer vision algorithms with low numbers of samples of labeled EO imagery. We will use the existing xView panchromatic dataset to demonstrate a proof-of-concept set of tools. If successful, in Phase II, we will extend t ...

Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

Yotta Navigation proposes to develop the MOUTman, a rugged, handheld, secure, high-precision real-time navigation system suitable for military operations. This system will take advantage of Yotta's existing expertise in several areas: inertial and differential GPS-assisted navigation, user interface design, efficient integration of components from mainstream suppliers, and our deep knowledge of r ...

Due to the lack of consistency in existing automated methods for assigning VNIIRS levels to motion imagery, and the overwhelming human resources required to manually assign levels, a new method of automated/semi-automated VNIIRS assessment is needed. In recent years, advancements in deep learning have provided solutions to previously intractable computer vision problems. In many cases, automated d ...

ATA Engineering, Inc., (ATA) proposes to develop and demonstrate a multiphysics framework for the radar cross-section (RCS) analysis of an ablating hypersonic vehicle in an ionized plasma flow field. ATA has developed a software toolset, known as the Multiphysics Engine, capable of modeling many of these hypersonic phenomena. It couples state-of-the-art solvers for CFD (Loci/CHEM), ablation (CHAR) ...