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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

Download all SBIR.gov award data either with award abstracts (290MB) or without award abstracts (65MB). A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.

The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.

Displaying 11 - 20 of 512 results
 
  • Record 1 TO 512

  1. Field-Enhanced Carbon Monoxide Tolerance of Polymer Electrolyte Membrane (PEM) Fuel Cells

    SBC: FuelCell Energy, Inc.            Topic: N/A

    To be commercially competitive, PEM fuel cells have to be able to run on readily available fuels. Fuel reformers are practical, but fuel cell anode catalysts are severely poisoned by small quantities of carbon monoxide from the reformer. Despite mucheffort invested into increasing CO tolerance, desired performance levels have not been achieved.Our Phase I data has demonstrated excellent CO-toler ...

    STTR Phase I 2003 Department of DefenseArmy

  2. N/A

    SBC: FOSTER-MILLER, INC.            Topic: N/A

    N/A

    STTR Phase I 2000 Department of DefenseArmy

  3. N/A

    SBC: Frontier Technology Inc.            Topic: N/A

    N/A

    STTR Phase I 2000 Department of DefenseArmy

  4. Biomimetic Information Technology Systems

    SBC: Frontier Technology Inc.            Topic: N/A

    Frontier Technology, Inc. (FTI) and University of Florida (UF) propose to validate and demonstrate designs for biomimetic camouflage systems (

    STTR Phase I 2001 Department of DefenseArmy

  5. Analysis and Characterization of Pattern Classifiers

    SBC: Frontier Technology Inc.            Topic: N/A

    "Frontier Technology, Inc. (FTI) and University of Florida (UF) propose to develop designs for automatically-generated statistical pattern recognition systems (GASPs) that can classify uncooperative targets among time-varying natural and manmadebackgrounds. We also propose to analyze the performance of the envisioned GASPs to:(a) covertly acquire feature data (e.g., statistical, spectral, and spat ...

    STTR Phase I 2002 Department of DefenseArmy

  6. Overexpression of Phosphotriesterase, a Metallo-Organophosphorous Hydrolase by a Novel and Versatile Protein Expression System

    SBC: G-CEPTOR SCIENCES            Topic: N/A

    A unique recombinant protein overexpression system will be investigated for the production of phosphotriesterase, an organophosphate hydrolase from Pseudomonas diminuta MG and Flavobacterium sp. ATCC 27551. This enzyme is a leading bioremediationcandidate for large-scale detoxification of insecticides and chemical warfare agents. The hydrolase will be prepared in three different versions using t ...

    STTR Phase I 2001 Department of DefenseArmy

  7. Telemedicine and Advanced Medical Technology- Medical/Surgical, Mission Support Modeling, and Simulation

    SBC: IMMERSION MEDICAL, INC.            Topic: N/A

    Immersion Medical and the Uniformed Services University of Health Science (USUHS), aims establish the feasibility of a medical training simulator for Central Venous Catheterization (CVC). The proposed project involves several technical advances. Tactilefeedback user interface hardware designs will be researched to serve as a realistic proxy for catheters and other devices used during CVC. This in ...

    STTR Phase I 2001 Department of DefenseArmy

  8. N/A

    SBC: ICET, INC            Topic: N/A

    N/A

    STTR Phase I 2000 Department of DefenseArmy

  9. Using Evolving Curves to Track Dynamic Boundaries

    SBC: Intelligent Automation, Inc.            Topic: N/A

    The key innovation proposed in this STTR effort by Intelligent Automation, Inc. and Duke University is a hybrid level set based algorithm to achieve dynamic perimeter surveillance within a region by constructing an evolving function based on the perceiveddensity of a phenomenon. Drawing on state-of-the-art image processing methodologies, the hybrid solution offers the flexibilities of an Eulerian ...

    STTR Phase I 2003 Department of DefenseArmy

  10. Using Evolving Curves to Track Dynamic Boundaries

    SBC: Intelligent Automation, Inc.            Topic: N/A

    In the phase I effort, IAI successfully demonstrated the feasibility of co-operative swarm based approach to boundary tracking. This approach is relevant to applications such as tracking oil spills using a swarm of robots, tracking enemy troop movement using a swarm of UAV's (Future Combat System (FCS) type scenario), and tracking of static and moving mine fields . In Phase II, we continue our ef ...

    STTR Phase I 2004 Department of DefenseArmy
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