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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. Reverberation Mitigation of Speech

    SBC: IN-DEPTH ENGINEERING CORPORATION            Topic: AF15AT17

    Speech data corrupted by reverberation, especially in combination with noise, has a drastically negative effect on the performance of speaker identification algorithms. Current approaches to the removal of reverb and noise rely on specific knowledge of room characteristics causing the reverb.The team of In-Depth Engineering and the University of Maryland propose to apply an innovative, generalized ...

    STTR Phase II 2016 Department of DefenseAir Force
  2. Active Control of a Scramjet Engine

    SBC: Ahmic Aerospace LLC            Topic: AF15AT19

    Scramjet engines are designed to operate across a wide Mach number range and typically incorporate isolator sections to provide sufficient back-pressure margin and prevent unstart. As military requirements become increasingly demanding, an active, closed-loop control system is necessary to maintain engine stability and power output. During Phase I, key components of a scramjet control system were ...

    STTR Phase II 2016 Department of DefenseAir Force
  3. MHz-rate Nonlinear Spectroscopy and Imaging Platform for Transient and Nonequilibrium Flows

    SBC: SPECTRAL ENERGIES LLC            Topic: AF15AT20

    The goal of the proposed work is to demonstrate 100 kHz to MHz rate nonlinear spectroscopy for measurements of molecular energy distributions, energy transfer, major species, and temperature in transient combusting and nonequilibrium flows. This will be accomplished, in part, by extending burst-mode laser technology to the fs/ps regime for three-orders of magnitude higher probe-pulse energy at MHz ...

    STTR Phase II 2016 Department of DefenseAir Force
  4. Spectrum Sensing and Sharing by Cognitive Radios in Position, Navigation and Timing (PNT) Systems

    SBC: Echo Ridge, LLC            Topic: AF15AT23

    Echo Ridge proposes to prototype and demonstrate an architecture and key algorithms to support spectrum sharing for Position, Navigation, and Timing (PNT) that focuses on spectrally congested and high likelihood operational scenarios. Four key results are proposed to be delivered: 1) end-to-end Hardware-in-the-Loop (HiTL) lab demonstration of all segments of the solution in Air Force-relevant oper ...

    STTR Phase II 2016 Department of DefenseAir Force
  5. Securing the Internet of Things in Tactical Environments

    SBC: Kalos Technologies, Inc.            Topic: AF16AT10

    Kalos Technologies Inc. (Kalos) and Temple University submit together this STTR Phase I proposal entitled Securing the Internet of Things in Tactical Environments to the Air Force in response to solicitation topic AF16-AT10: Securing the Internet of Things. It is the Kalos and Temples effort in the development of hardware-based security, embedded system security, secure communication, and secure I ...

    STTR Phase I 2016 Department of DefenseAir Force
  6. Topological Signal Analysis for Multi-Modal Data Analysis

    SBC: GEOMETRIC DATA ANALYTICS INC.            Topic: AF16AT12

    Extracting information from different modalities of data is one of the greatest challenges in this era of exponential data growth, as well as one of the most promising horizons for the development of new capabilities for military, commercial, and scientific applications. Virtually all areas of defense, industry, and science are becoming increasingly dependent on the ability to analyze multimodal d ...

    STTR Phase I 2016 Department of DefenseAir Force
  7. Bayesian Fusion of Heterogeneous Data for Unanticipated Event Detection

    SBC: METRON INCORPORATED            Topic: AF16AT12

    Metron, Inc. and Portland State University propose to design, develop, test and demonstrate algorithms that fuse heterogeneous sensor data at an information theoretic level and process these data as detection and tracking algorithms that can identify when new events or targets emerge that are not currently modeled. These algorithms have the potential to provide dramatic improvements in the capabil ...

    STTR Phase I 2016 Department of DefenseAir Force
  8. Heterogeneous Data Discovery Using Deep Neural Networks

    SBC: KickView Corporation            Topic: AF16AT12

    Improving feature extraction, event detection, and target classification in multi-sensor systems requires new mathematical methods and processing techniques. In addition, previous research and experience suggests that leveraging sensor data that has not experienced significant dimensionality reduction can preserve subtle features when processed jointly with other relevant data. However, traditiona ...

    STTR Phase I 2016 Department of DefenseAir Force
  9. Customizing Security for Diverse IoT Endpoints

    SBC: Samraksh Company, The            Topic: AF16AT10

    Endpoints in the Internet of Things (IoT) vary considerably in their hardware-software architecture and their functional capability. The IoT marketplace is unlikely to converge on a single or a few dominant endpoint platforms in the near term and potentially even long term future.This creates a major problem and an opportunity for securing IoT endpoints that are being increasingly integrated in cr ...

    STTR Phase I 2016 Department of DefenseAir Force
  10. Computation of Structural Energetic Materials Under Shock Loading: a Meso-Scale Framework

    SBC: STREAMLINE NUMERICS INC            Topic: AF16AT23

    Structural energetic materials or multifunctional energetic materials offer the ability to combine the high energy release rates of traditionalhigh explosives with structural strength. When successfully formulated therefore they can lead to light-weight, high-performance and hithertoinaccessible designs of munitions. The key feature of structural energetic materials (SEMs), perhaps even more so th ...

    STTR Phase I 2016 Department of DefenseAir Force
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