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The Award database is continually updated throughout the year. As a result, data for FY19 is not expected to be complete until April, 2020.

  1. Open Call for Innovative Defense-Related Dual-Purpose Technologies/Solutions

    SBC: Inductive Ventures, LLC            Topic: AF182005

    Inductive Ventures (IV) has successfully demonstrated a new electromagnetic based system built on low cost of ownership, high-torque to low-weightperformance, high reliability, and higher level of safety control of braking forces would better serve the aerospace industry and offer significant advantages over carbon brakes, including:1.Recapture some of the available kinetic energy during the landi ...

    SBIR Phase II 2019 Department of DefenseAir Force
  2. Advanced back-illuminated CMOS image sensors for adaptive optics applications

    SBC: SCIMEASURE ANALYTICAL SYSTEMS, INC.            Topic: AF171022

    An existing 128x128 pixel CMOS image sensor design will be revised and fabricated in a thicker format more suitable for backthinning with the goal of increasing the quantum efficiency from 59% to > 80% at 589 nm. Increasing the epitaxial layer material from 5.2 microns to 14.2 microns is estimated to increase the absorption of 589 nm photons by 48%. A batch of 20 devices will be fully backthinned ...

    SBIR Phase II 2019 Department of DefenseAir Force
  3. Big Data Cyber Analytics

    SBC: Dynamite Analytics LLC            Topic: AF171042

    Vlabs will develop a prototype of a big data analytics solution for cyber threat intelligence. The solution will be built on top of a big data platform with a goal to improve detection of complex adversarial behaviors. The system will analyze various data sources stored in a scalable data lake. Vlabs is well positioned to perform this work from the extensive experience in big data analytics and th ...

    SBIR Phase II 2018 Department of DefenseAir Force
  4. Network Sensing and Analytics for Low Bandwidth Cyber Protection Team (CPT) Deployment Scenarios

    SBC: Notos Technologies LLC            Topic: AF191065

    Many existing network intrusion detection systems (IDS) employ expensive deep packet inspection (DPI) andsophisticated pattern matching algorithms to spot evidence of known threats in the network traffic. WhileIDS are a valuable component of a defense-in-depth strategy, they often require significant compute power,tend to miss new (previously unknown) threats, run on heavy hardware, may require ac ...

    SBIR Phase I 2019 Department of DefenseAir Force
  5. Machine Learning Methods to Catalog Sources from Diverse, Widely Distributed Sensors

    SBC: GLOBAL TECHNOLOGY CONNECTION, INC.            Topic: AF19AT012

    The USAF seek innovative technology solutions to develop automated algorithms to process variety of different sensor data from around the world, using Machine Learning methods and classify different seismic events from possible nuclear tests.In Phase I of this proposal, a research team from Global Technology Connection Inc. and our university partner Georgia Tech (RI) plans to work together to eva ...

    STTR Phase I 2019 Department of DefenseAir Force
  6. Molecular Beam Epitaxy Automation and Machine Learning to Accelerate the Design of Materials

    SBC: Innovative Advanced Materials, Inc.            Topic: AF19AT020

    Innovative Advanced Materials (IAM), Inc., founded by Dr. W. Alan Doolittle, proposes to demonstrate machine learning methods for MBE growth that will lead to the development of an autonomous control system.IAM will use its Ubiquitous Control software, built based on MATLAB technologies, for eventual control of the MBE process with the primary in-situ sensor being RHEED image analysis.Both 2D diff ...

    STTR Phase I 2019 Department of DefenseAir Force
  7. Accurate and Rapid Measurement of Adsorption Capacity of Fly Ash in Concrete Mixtures

    SBC: PHOSPHORTECH            Topic: 171FH1

    Proposal title: Accurate and Rapid Measurement of Adsorption Capacity of Fly Ash in Concrete Mixtures Interference of unburned and activated carbon in fly ash with air-entraining admixtures (AEAs) in fresh concrete mixtures is a major concern in the concrete industry. Therefore, a rapid and accurate measurement of adsorption capacity of fly ash is of great interest to this industry. In Phase I, ...

    SBIR Phase II 2018 Department of Transportation
  8. Field Level Transparency Inspection System

    SBC: COMPASS TECHNOLOGY GROUP, LLC            Topic: AF183042

    Aircraft transparency systems incorporate conductive layers which require inspection during manufacture and throughout the life of the aircraft to ensure proper electrical performance is achieved and maintained. Transparencies on fielded aircraft are subject to damage as a result of bird strikes, thermal stresses, weather erosion, static discharge, and even during routine maintenance activities (e ...

    SBIR Phase I 2019 Department of DefenseAir Force
  9. Ultra Wideband Receiver (UWR)Sample Clock Modulation

    SBC: TELEDEVICES, LLC            Topic: AF18CT003

    The objective of this effort is to develop a novel prototype receiver architecture capable of 20+ GHz of instantaneous bandwidth (IBW).The main performance benefit from this type of technology will be very fast detection times. Combining ultra wideband hardware technology with sample clock modulation will result in a high probability of seeing every pulse associated with all signals of interest (S ...

    STTR Phase I 2019 Department of DefenseAir Force
  10. Nondestructive Inspection/Evaluation (NDI/E) Probe & Aircraft Structure Coordinate Mapping

    SBC: COMPASS TECHNOLOGY GROUP, LLC            Topic: AF183035

    Nondestructive evaluation and inspection (NDE/I) measurements are routinely performed on aircraft in the field and depot during maintenance and after repairs. Ensuring that these procedures have performed properly and completely, as well as enabling the efficient use and storage of the measurement data are critical to the sustainment mission. This effort addresses the US Air Forces need to map and ...

    SBIR Phase I 2019 Department of DefenseAir Force

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