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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. Layered Inference for Cyber Network Knowledge Synthesis (LINKS)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: N18AT019

    Providing effective cyber defense for the DoD is compounded by the fact there is not a single physical or logical entity that defines cyberspace. In reality, DoD networks are often composed of three disparate but interacting layers: a physical layer that defines the structure of the network (e.g., computers and routers), a logical layer that represents the static or dynamic state of data within th ...

    STTR Phase I 2018 Department of DefenseNavy
  2. Closed-Loop Extracranial Activation using Reinforcement-learning (CLEAR)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: AF17BT002

    Increased workloads and operational pressures can degrade human analysts cognitive performance, jeopardizing their ability to safely and effectively carry out mission-critical tasks. To avoid overload and maximize the potential of human operators, a method for conducting real-time evaluation of cognitive state, combined with means to dynamically enhance performance, is required. Novel technologies ...

    STTR Phase I 2018 Department of DefenseAir Force
  3. Mentoring and Responsive Learning through Intelligent Nautical Skill-modeling, Prompting, Intervention, and Feedback during Instructor-Controlled Exer

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: N18AT014

    The safety and operational success of the U.S. Navy (USN) depends on expert navigation, seamanship, and shiphandling skills. Tragically, the Navy experienced four major incidents in 2017. The resulting USN Comprehensive Review identified lapses in basic seamanship and safe navigation skills as contributing factors, reinforcing the critical need for rigorous shiphandling training and proficiency as ...

    STTR Phase I 2018 Department of DefenseNavy
  4. Closed-Loop Feedback Control for Transcranial Direct Current Stimulation

    SBC: QUANTUM APPLIED SCIENCE & RESEARCH INC            Topic: AF17BT002

    Because of rising demand for human analysts and more efficient processing of increasingly large and challenging amounts of intelligence, human limitations on mental workload, cognitive fatigue, and attentionor task engagement, need to be accurately monitored in real-time in order to provide sensitive detection of impaired cognitive states. It is a challenge to continuously monitor these cognitive ...

    STTR Phase I 2018 Department of DefenseAir Force
  5. Algorithms for Look-down Infrared Target Exploitation

    SBC: SIGNATURE RESEARCH, INC.            Topic: 1

    Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  6. Smallsat Cryocooler System

    SBC: IRIS TECHNOLOGY CORPORATION            Topic: MDA17T003

    The Iris Technology team which also include Northrop Grumman Aerospace Systems (NGAS) and the University of Wisconsin, is attacking the problem of high-efficiency, low-volume, space-qualified cryocooler systems.The team has a firm starting point by leveraging the Northrop Grumman Microcryocooler and the Iris Technology mLCCE (Miniature Low Cost Control Electronics).TMU enhancement will start with ...

    STTR Phase I 2018 Department of DefenseMissile Defense Agency
  7. Active Imaging through Fog

    SBC: SA PHOTONICS, LLC            Topic: N18AT021

    Active imaging systems are used to for imaging in degraded visual environments like that found in marine fog and other environments with a high level of attenuation and scattering from obscurants like fog, rain, smoke, and dust.These systems are still limited in range and resolution. SA Photonics is taking advantage of multiple image enhancement techniques, like wavelength tunability, pulse contro ...

    STTR Phase I 2018 Department of DefenseNavy
  8. AgileBeam Reconfigurable Free Space Optical Communication System

    SBC: SA PHOTONICS, LLC            Topic: AF18AT010

    Free Space Optical (FSO) communication systems provide many benefits for satellite communications, including high data rates and low Size, Weight and Power (SWaP) compared to traditional RF communication systems.Additionally, FSO systems operate without RF emissions and are inherently immune to RF interference and jamming.The narrow optical beams and small Field-of-View of the optical receivers al ...

    STTR Phase I 2018 Department of DefenseAir Force
  9. Operational Sand and Particulate Sensor System for Aircraft Gas Turbine Engines

    SBC: HAL Technology, LLC            Topic: N18AT023

    Gas turbine engines with prolonged exposure to sand and dust are susceptible to component and performance degradation and ultimately engine failure. Hal Technology’s proprietary, compact, rugged, flush-mounted, fiber-optic sensor platform measures particulate size, size distributions, and concentration for real-time engine health monitoring. Our proposed sensor will use an innovative hybrid disc ...

    STTR Phase I 2018 Department of DefenseNavy
  10. Accurate Flow-Through Conductivity Sensor for Autonomous Systems

    SBC: D 2 INC            Topic: N18AT022

    UUVs have become increasingly important tools in the collection of environmental data. Their unique ability to operate independent of surface vessel conditions allows oceanographic seawater measurements when traditional means is not possible. Historically sensor packages for UUVs have been based on adaptions of ship deployed equipment. Recent development in sensors, such as the Hybrid Flow Through ...

    STTR Phase I 2018 Department of DefenseNavy
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