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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 April, 2020.

  1. Vegetable Oil Conditioning for Combustion

    SBC: RESODYN CORPORATION            Topic: A08T030

    The development of a straight vegetable oil (SVO) blending technology for combustion in boilers and in diesel engines is proposed. The overall objective of the proposal is to address the problems associated with using SVO as fuel; such as high viscosity, poor low temperature flow behavior, fuel inject and combustion chamber carbon deposition and engine power loss due to long term use. Vegetable oi ...

    STTR Phase I 2008 Department of DefenseArmy
  2. Small Aperture X-Band Antenna (SAXBA)

    SBC: Minerva Systems & Technologies, LLC            Topic: A07134

    We propose a low-cost, low-profile, electronically scanned, in both Azimuth and Elevation, X-band communications on-the-move (OTM) antenna. All electronics and power modules including MIL-1275 type power supply are enclosed inside the radome. There are no moving parts in the system. The antenna is designed to interface, using L-band, with VSAT type modems to provide the required services. In Phase ...

    SBIR Phase I 2008 Department of DefenseArmy
  3. Tools and Materials for Hands-On Climate and Weather Science Education

    SBC: Anasphere, Inc            Topic: N/A

    The majority of students and educators would probably agree that students are better able to grasp scientific concepts from the use of hands-on activities and other inquiry-based educational practices than from typical lecture problem solving methods. Anasphere, Inc is working to make inquiry based tools and materials for weather and climate education more readily available for students and educat ...

    SBIR Phase I 2008 Department of Education
  4. Learning-Based Source Separation Methodologies Applicable to the Multiple Target Problem

    SBC: Coprime            Topic: N/A

    "Coprime proposes to investigate the applicability of learning-based source separation methodologies to the problem of multiple targets in a complex acoustic environment. The Phase I effort will focus on identifying viable learning-based source separationalgorithms specifically tuned to the multiple combat vehicle scenario. A prototype architecture will be developed and numerical software rapidly ...

    SBIR Phase I 2002 Department of DefenseArmy

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