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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.

  1. Adaptive Optics controlled nonlinear propagation of USLP

    SBC: ADVANCED SYSTEMS & TECHNOLOGIES INC            Topic: N17AT024

    Filamentation of ultra-short laser pulse propagation in non-linear media offers significant potentials allowing to address numerous problems in military and commercial sectors. However, practical implementation of this requires an ability to control the USLP at its propagation through inhomogeneous media, like turbulent atmosphere. On the basis of our approach for combating turbulence effects on p ...

    STTR Phase I 2017 Department of DefenseNavy
  2. Video and Audio Data Extraction for Retrieval, Ranking, and Recapitulation

    SBC: ONAI INC.            Topic: N17AT021

    We propose a multi-part system to process, understand, and summarize video streams. Our approach involves processing video and audio jointly; uses the latest advances in captioning and automatic speech-recognition to construct text narratives for the video; and uses NLP techniques to summarize and produce a reliable relevance ranking of these videos. We address all six technical challenges identif ...

    STTR Phase I 2017 Department of DefenseNavy
  3. Multi-Phase Flame Propagation Modeling for Present and Future Combustors and Augmentors

    SBC: Metacomp Technologies, Inc.            Topic: N17AT002

    The proposed project will develop advanced modeling capabilities for high-fidelity liquid-fuel spray calculations. State-of-the-art multiphase combustion models will be implemented in a volume-filtered Eulerian-Lagrangian framework that can easily be ported into existing CFD codes. Unlike traditional methods, the proposed strategy will ensure convergence under mesh refinement of the interphase exc ...

    STTR Phase I 2017 Department of DefenseNavy
  4. Visual Tools and Progressive Automation for Complex Knowledge Management and Decision Support

    SBC: Stottler Henke Associates, Inc.            Topic: N17AT004

    We propose to adapt and automate the processes and technologies associated with evidence based decision support to the Navyproviding a tool that can synthesize current cognitive and learning science knowledge and inform decisions so as to maximize the value gained for each training expenditure. We will develop a plug-play architecture that will allow us to make the best use of emerging technologie ...

    STTR Phase I 2017 Department of DefenseNavy
  5. Graphical Speech Recognition Tool

    SBC: BCL Technologies            Topic: N17AT010

    BCL proposes developing a Graphical Speech Recognition Tool (GSRT) that will allow Navy Training Operators and Developers to customize Automatic Speech Recognition (ASR) Systems to their scenarios within minutes and without the need for external support. In addition, the GSRT System will have a Train the Speaker module that will allow users to familiarize themselves with the ASR System so that the ...

    STTR Phase I 2017 Department of DefenseNavy
  6. Software Tools for Implementing Speech Agents in Crew Resource Management Training Systems

    SBC: OPTIMAL SYNTHESIS INC.            Topic: N17AT010

    Crew resource management training systems are often constrained by the high cost and lack of flexibility in coordinating a large groups of human role players for part-task training. Motivated by the recent maturation of the speech synthesis and recognition technologies, speech-enabled crew role-player agents are being introduced to address these limitations. However, difficulties remain in customi ...

    STTR Phase I 2017 Department of DefenseNavy
  7. Prediction of Rotor Loads from Fuselage Sensors for Improved Structural Modeling and Fatigue Life Calculation

    SBC: ATA ENGINEERING, INC.            Topic: N17AT009

    ATA Engineering and researchers at the Georgia Institute of Technology will develop a framework for the accurate reconstruction of rotor loads from a suite of fixed-frame fuselage sensors that are utilized to augment physics-based simulations. The loads reconstruction framework will consist of two modules: the physics module, which provides first-principles predictions from simulations, and the se ...

    STTR Phase I 2017 Department of DefenseNavy
  8. Electro-Optic Transmissive Scanner

    SBC: ULTIMARA INC            Topic: N17AT001

    The goal of this program is to develop and construct a thin, light weight, low power, large aperture, electro-optic (EO) transmissive scanner that utilizes electro-optically active nanomaterial structures, suitable for UAVs platform. The nano-material beam-steering technology aperture system offers an ultra-thin Size, Weight, and Power (SWAP) to fit on UAV;s airframe and achieve ultrafast and wide ...

    STTR Phase I 2017 Department of DefenseNavy
  9. Reliable Manufacturing of Scandia-doped Tungsten Powders for Thermionic Cathodes

    SBC: NGIMAT, LLC            Topic: N15AT010

    In this Phase II STTR effort, nGimat will partner with the University of Kentucky (UK) and 3M/Ceradyne to continue development of W-scandate cathode composite materials. Compared to conventional M-type cathodes, these composite scandate nanomaterials will enable longer cathode lifetime by lowering the required operating temperature. nGimat is an established and successful powder manufacturing comp ...

    STTR Phase II 2017 Department of DefenseNavy
  10. Auto-Docking Autonomous Burial Vehicle (AD-ABV)

    SBC: MAKAI OCEAN ENGINEERING INC            Topic: N11AT017

    Subsequent Phase II Proposal, extension of Phase II contract N00039-12-C-0082. This contract involves the development of an underwater vehicle that can reliably and autonomously interconnect power and data cables to undersea nodes after they have been deployed. The Auto-Docking Autonomous Burial Vehicle (AD-ABV) is a cable-connecting adaptation of Makai’s proven ABV, which has been successfully ...

    STTR Phase II 2017 Department of DefenseNavy
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