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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

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. High Density Capacitors for Compact Transmit and Receive Modules

    SBC: BIOENNO TECH, LLC            Topic: N17AT011

    Development of a new generation of high-energy-density capacitors for power conversion/conditioning systems will be beneficial to reduce the size, weight, and cost of resultant transmit and receive (T/R) modules in modern radar and electronic warfare transmitters. Among capacitor technologies available, multilayer ceramic capacitors (MLCCs) and polymer-ceramic composite dielectric based capacitors ...

    STTR Phase I 2017 Department of DefenseNavy
  2. 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
  3. Vertical GaN Substrates

    SBC: Sixpoint Materials, Inc.            Topic: N/A

    SixPoint Materials will create low-cost, high-quality vertical gallium nitride (GaN) substrates using a multi-phase production approach that employs both hydride vapor phase epitaxy (HVPE) technology and ammonothermal growth techniques to lower costs and maintain crystal quality. Substrates are thin wafers of semiconducting material needed for power devices. In its two-phase project, SixPoint Mate ...

    STTR Phase I 2014 Department of EnergyARPA-E
  4. 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 super-resolution (SR) methodology for mid-wave infrared (MWIR) imagery that produces extreme enhancement of low resolution images. Image enhancement of at least 4x is expected using a standard imaging system. OKSI and Northwestern University will also develop a detector-limited imaging system specifically designed to be used with the SR methodo ...

    STTR Phase I 2017 Department of DefenseNavy
  5. Multi-Sensor Autonomous Hydrothemal Vent Detection System

    SBC: 10dBx LLC            Topic: N17AT028

    Development of a concept of operations is proposed for autonomous hydrothermal vent detection in a single sortie. The concept involves active sonars (forward looking and swath mapping sonars, plus possibly a 1-2 MHz acoustic Doppler current profiler (ADCP) for measuring midwater turbulence) mounted on a commercial AUV equipped with environmental sensors (e.g., CTD, fluorometer, MAPR-ORP). The AUV ...

    STTR Phase I 2017 Department of DefenseNavy
  6. Cognitive Adaptation and Mission Optimization (CAMO) for Autonomous Teams of UAS Platforms

    SBC: OPTO-KNOWLEDGE SYSTEMS, INC.            Topic: N17BT035

    OKSI and Professor Matthew Taylor will develop the Cognitive Adaptation and Mission Optimization (CAMO) command and control tool for teams of UAS platforms. CAMO will incorporate existing databases (e.g., NASA population maps, FAA airspace maps, etc.) as well as real-time data from UAS into a learning-based cognitive control solution that maximizes mission performance while minimizing risk for a t ...

    STTR Phase I 2017 Department of DefenseNavy
  7. Cyberspace Operations Degraded Exercise & Synthetic Training Architecture (CODESTAR)

    SBC: SOAR TECHNOLOGY, INC.            Topic: N17AT023

    The majority of todays cyberspace training is conducted on dedicated, closed network virtual ranges that provide the basic services and controls necessary to train DoD Cyberspace Mission Forces on their primary tasks and missions [Wells,2015]. These ranges operate independently from the traditional M&S environments used to conduct battlestaff and Fleet synthetic training (FST) that, in the real wo ...

    STTR Phase I 2017 Department of DefenseNavy
  8. VISCARO- Video Information Summarization, Captioning, Analysis, and Rank Ordering

    SBC: DECISIVE ANALYTICS CORPORATION            Topic: N17AT021

    Military and open-source videos contain a wealth of information about entities, concepts, and events of interest to US and coalition forces. Intelligence analysts have access to these video data sources but are severely limited in exploiting the information contained within due to manpower and technical limitations. Unlike most data sources, video data is actually multi-modal. Relevant information ...

    STTR Phase I 2017 Department of DefenseNavy
  9. Minimum-Risk Planning and On-Board Replanning for UAS Operations

    SBC: BARRON ASSOCIATES, INC.            Topic: N17BT034

    Current aircraft operations within the National Airspace System (NAS) rely heavily on the presence of an on-board pilot to safely manage the flight. Integration of Unmanned Aircraft Systems (UAS) into the NAS requires a high confidence that these unmanned aircraft operations can meet or exceed the safety afforded through manned operations. Specifically, these UAS operations must not pose an undue ...

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

    SBC: TECHNICAL DATA ANALYSIS, INC.            Topic: N17AT009

    For rotorcraft, accurate loads prediction is required across the full flight regime, including turbulent flow, blade-vortex interaction, as well as interactions with the fuselage and tail rotor. Predictive capabilities of modern computational fluid dynamics coupled with computational structural dynamics software must be addressed in the context of technology integration into a real aircrafts fatig ...

    STTR Phase I 2017 Department of DefenseNavy
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