Award Data

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The Award database is continually updated throughout the year. As a result, data for FY19 is not expected to be complete until June, 2020.

  1. Decontamination storage bags for chemical and biological warfare agents

    SBC: Materials Modifications Inc.            Topic: A10AT003

    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 ...

    STTR Phase I 2010 Department of DefenseArmy
  2. Non-destructive Exfoliation and Drying of Anisotropic Nanomaterials

    SBC: Nanosonic Inc.            Topic: A09AT021

    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 ...

    STTR Phase I 2010 Department of DefenseArmy
  3. Incremental Learning for Robot Sensing and Control

    SBC: SET ASSOC. CORP.            Topic: A09AT030

    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 ...

    STTR Phase I 2010 Department of DefenseArmy
  4. Multi-input Multi-output Synthetic Aperture Radar with Collocated Antennas

    SBC: Trident Systems Incorporated            Topic: A10AT005

    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 ...

    STTR Phase I 2010 Department of DefenseArmy
  5. Random Number Generation for High Performance Computing

    SBC: Silicon Informatics, Inc.            Topic: A10AT012

    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 ...

    STTR Phase I 2010 Department of DefenseArmy
  6. Improved Sensing Using Simultaneous Orthogonal Spectroscopic Detection

    SBC: Applied Systems Research, Inc.            Topic: A09AT019

    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 ...

    STTR Phase I 2010 Department of DefenseArmy
  7. Topological Data Analysis and Wide Area Detection of Chemical and Biological Contamination MP 39-10

    SBC: Metron, Incorporated            Topic: A10AT020

    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 ...

    STTR Phase I 2010 Department of DefenseArmy
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