Award Data

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 STTR Phase I project will develop a novel toxic material storage bag with an inner liner capable of decontaminating chemical and biological warfare agents (CBWA’s).. The inner-liner technology would entail adsorption and decomposition of warfare agents without the release of toxic agents, and will result in a storage bag capable of being disposed of in an environmentally safe fashion. The ...

The enormous effort devoted to the data acquisition, signal processing, and automatic recognition of stationary targets has resulted in a generation of synthetic aperture radar (SAR) systems that are meeting the challenge of real-world conditions. However, in a practical battlefield, moving targets may pose a more severe threat than stationary targets. Many high value targets are only vulnerable w ...

The proposed research incorporates several inventions to produce structural components that can be assembled into a highly enhanced chemical-biological (CB) forensic evidence container for transport and storage of contaminated articles. Bio-hazardous materials are frequently encountered in standard investigations, and currently used evidence bags are designed to handle the containment and preserv ...

Metron, Inc. and Stanford University propose to design, develop, test and demonstrate topological data analytic algorithms to analyze hyperspectral imagery. We propose to adapt the topological data analytic techniques, including Stanford’s successful Mapper algorithm, to the hyperspectral imagery domain. Using these algorithms we will identify topological and geometric features and properties ...

Detection and identification of toxic chemical in water is vital for various military, environmental, and industrial applications. Specifically, the Joint Services have a need for rapid detection of trace levels of chemical contamination in water systems. This Small Business Technology Transfer Phase I project will focus on the development of a novel detection system for sampling and identificat ...

High efficiency, low pollution, and long lifetime make hydrogen-powered fuel cells desirable for portable power generation by the Army. However, it is impractical to transport hydrogen to where it is needed. Instead, reforming a transportable liquid fuel such as JP-8 or diesel fuel can produce the hydrogen for the fuel cell. Noble metal catalysts can speed this reforming, but they are expensive a ...

SET Corporation, together with Carnegie Mellon University''s National Robotics Engineering Center (NREC), will develop a system that leverages state-of-the-art sensing, perception, and machine learning to provide trafficability assessments for UGVs for agricultural, security and military applications. It will consist of a set of proprioceptive and exteroceptive sensors that provide rich data about ...

The overall goal of this proposed Army STTR is to demonstrate low-cost, non-destructive methodologies for non-agglomerating drying of anisotropic nanomaterials. NanoSonic and Virginia Tech will work in tandem to demonstrate novel approaches involving both high performance coatings and CO2 processing that facilitate gentle, simultaneous drying and exfoliation of nanoparticles, preventing agglomera ...

US forces are increasingly involved in asymmetric warfare, peacekeeping and humanitarian assistance missions. These scenarios can place soldiers in direct contact with harmful biological and chemical warfare organisms and agents, toxic industrial chemicals, and explosives. Current portable sensor technology solutions rely on visible and near-IR Raman or Fluorescence spectroscopy. But operations ...