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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.

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.

  1. Proactive Contextual Decision Support for Decision Making Under Uncertainty

    SBC: PACIFIC SCIENCE & ENGINEERING GROUP, INC.            Topic: N13AT020

    Current decision tools often omit important situational context. Unfortunately, this can lead to dangerous and costly errors, as context drives decision making. For example, in operational navigation planning tasks, decisions must be made that rely on multiple information sources of different fidelities and uncertainties. Furthermore, after obtaining additional information the necessity for replan ...

    STTR Phase II 2015 Department of DefenseNavy
  2. Integrated learning-based and regularization-based super resolution for extreme MWIR image enhancement

    SBC: Opto-knowledge Systems, Inc.            Topic: N17AT016

    OKSI and Northwestern University propose to develop a single-image super-resolution (SR) methodology for mid-wave infrared (MWIR) imagery that combines learning-based and regularization-based approaches to produce extreme enhancement of low-resolution images. We will also develop a detector-limited imaging system specifically designed to be used with the SR methodology for which even higher levels ...

    STTR Phase II 2019 Department of DefenseNavy
  3. High Density Capacitors for Compact Transmit and Receive Modules

    SBC: Bioenno Tech, LLC            Topic: N17AT011

    Development of high-energy-density, low-loss capacitors for power conversion/conditioning systems is an enabling technology to achieve the objective of reducing size, weight, and cost of transmit and receive (T/R) modules in modern radar and electronic warfare transmitters. Among capacitor technologies available, multilayer ceramic capacitors (MLCCs) are receiving more attentions. At present, howe ...

    STTR Phase II 2019 Department of DefenseNavy
  4. Soliloquy Ph II

    SBC: SOAR TECHNOLOGY INC            Topic: N17AT010

    Automatic Speech Recognition (ASR) allows trainees to practice verbal communication skills in representative training environments without the need for human role players. However, these technologies have yet to become a feature of most training systems. Building on Phase I work, SoarTech along with our academic partners at UC Davis, proposes developing Soliloquy, a novel interface that allows non ...

    STTR Phase II 2019 Department of DefenseNavy
  5. Optimization of Fatigue Test Signal Compression Using The Wavelet Transform

    SBC: ATA Engineering, Inc.            Topic: N18BT029

    ATA Engineering has developed a wavelet-based damage squeezing methodology for generating optimally compressed fatigue test signals that produce an equivalent amount of fatigue damage in a predictably reduced amount of time compared to the baseline (uncompressed) signals. Fatigue-critical signal characteristics (e.g., magnitude, phase, frequency, and sequencing relationships) are identified in the ...

    STTR Phase II 2020 Department of DefenseNavy
  6. Twiner Ph II

    SBC: SOAR TECHNOLOGY INC            Topic: N18AT019

    Human interaction in cyberspace leaves indicators in the three layers that define cyberspace: persona, logical and physical. The proposed effort seeks to develop algorithms and software to integrate data and context across all three layers, “intertwining” data to create a more holistic and complete picture of cyber activity. Such an integrated perspective will allow cyber professionals to bett ...

    STTR Phase II 2020 Department of DefenseNavy
  7. Non-Destructive Evaluation (NDE) of Missile Launcher Ablatives

    SBC: Texas Research Institute, Austin, Inc.            Topic: N18AT011

    MK-41 VLS exhaust paths are lined with ablative insulation that chars and ablates with each missile firing. There is no way to inspect, in-situ, chemical and physical changes to the ablatives. Such measurements are complicated because ablative materials: vary with location, are low density, and degrade non-linearly with firings.Failure of VLS insulation is not an option – but the usage life of t ...

    STTR Phase II 2020 Department of DefenseNavy
  8. Comprehensive Surf Zone Modeling Tool

    SBC: Arete Associates            Topic: N19AT010

    The objective of this project is to advance the capabilities of the Coastal Battlefield Reconnaissance and Analysis (COBRA) system by creating a Surf Zone Modelling Tool (SZT) that can create realistic synthetic imagery of the surf zone (SZ). Through the use of this synthetic imagery the COBRA Program will be enabled to inform concept of operations (CONOPS) in unfamiliar environments as well as mo ...

    STTR Phase II 2020 Department of DefenseNavy
  9. Protocol Feature Identification and Removal

    SBC: P & J ROBINSON CORP            Topic: N18AT018

    Protocols used for communication suffer bloat from a variety of sources, such as support for legacy features or rarely used (and unnecessary) functionality. Traditionally, the Navy subscribes to a blanket adoption of a standard protocol "as is". Unnecessary features are active and can be accessed by both internal and external systems creating security vulnerabilities. PJR Corporation's (PJR's) Pha ...

    STTR Phase II 2019 Department of DefenseNavy
  10. Triton™: Active Imaging through Fog

    SBC: SA Photonics, Inc.            Topic: N18AT021

    Active imaging systems are used in degraded visual environments, like those found in marine fog and other areas with a high level of attenuation and scattering from obscurants like rain, smoke and dust. These systems are still limited in range and resolution. SA Photonics is taking advantage of new eyesafe, hybrid fiber-bulk laser technology capable of high pulse energy at high repetition rate to ...

    STTR Phase II 2020 Department of DefenseNavy
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