Award Data

BluEyeQ LLC and Los Alamos National Laboratory are pleased to propose an interoperable network of Internet of Things (IoT) enabled CBRNE detectors.With the emergence of high performance, low cost networking equipment and Big Data cloud analytics, the opportunity exists to harness the vision and intelligence available from distributed sensor data.Our proposal demonstrates a path to modernize past C ...

The proposed low-SWaP PAPR technology improves the convenience, comfort, and protection level for respirators used in low-threat hazardous environments. Creare’s PAPR technology will be applicable to a variety of respiratory protection needs, including emergency escape, laboratory and field work in low-hazard conditions, and some combat and combat support activities. The PAPR will improve user f ...

Department of Defense personnel must wear respiratory protection continuously when deployed in regions with the danger of chemical or biological attack. Manufacturing respirators/masks using conventional molding methods limits the features that can be designed into the protection. Additive manufacturing provides an ideal approach for manufacturing respirators. Additive Manufacturing enables the ab ...

This Phase II SBIR proposal responds to a CBD need for improved Acoustically Enhanced Impaction (AEI) air purification in support of low pressure drop filtration. Prior to the SBIR Phase I effort, a first generation/benchmark (AEI) system developed by Applied Research Associates, Inc. (ARA) demonstrated AEI functionality and the potential to significantly reduce the annualized operation filtration ...

Acoustic air purification systems could be an important technology for protection of buildings from terrorist biological threats. The current limitations of these systems (e.g. cost, size, and power consumption) are mainly due to the inadequacy of commercially available sound sources for this application. What is needed to move the technology forward are sound sources that provide a higher sound p ...

In Phase I we developed a machine learning method for predicting match score errors in iris imagery to determine the quality of the image. We now propose to develop a flexible and configurable tool for creating, refining, and applying such a match score predictor to any image quality assessment problem where a training signal can be identified. The tool will enable users to supply ground truth for ...

The overall goal of this Phase II SBIR project is to develop a platform biosensor technology for rapid, multianalyte detection of biological and chemical analytes such as proteins, peptides, nucleic acids, toxins, bacteria, viruses, drugs, narcotics, explosive materials, and other molecules of interest in the biodefense and biomedical areas. We propose to build a hand-held, robust device similar t ...

DNA microarray technology, in combination with statistical and predictive modeling tools, could be used to evaluate thousands of genes against distinct gene expression patterns induced by chemical/biological agents to provide early identification and speed therapeutic intervention. The overall objective of this Phase II effort is to leverage existing public domain resources and commercial tools t ...

By continuing teaming up with one of the most reputable university teams in THz science and technology, ArkLight proposes to carry out the tasks set for a Phase-II program following our success in Phase I. We are aimed at the further development of novel spectrometers to analyze chemicals in the vapor phase based on accurate measurements of the emission and absorption spectra due to the molecular ...

The current methodology for testing the penetration resistance of textile materials to various chemical agents has a number of drawbacks, including significant uncertainties in the resulting data, inefficiency and expense, risk to test personnel, and limited range of test conditions. The objective of the proposed work is to apply unique computer models for textiles with accompanying experimental ...