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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.

  1. Physical Sub-Model Development for Turbulence Combustion Closure

    SBC: COMBUSTION RESEARCH AND FLOW TECHNOLOGY INC            Topic: AF13AT12

    ABSTRACT: The innovation proposed is a computationally-tractable, physics-based, portable turbulent combustion modeling strategy for application to a wide range of Air Force aero-propulsive systems, including augmentors, liquid rockets and scramjets. This modeling strategy will be implemented within an Application Programming Interface (API) library suitable for easy integration within Air Force ...

    STTR Phase I 2014 Department of DefenseAir Force
  2. Decision Making under Uncertainty for Dynamic Spectrum Access

    SBC: INFOBEYOND TECHNOLOGY, LLC            Topic: AF13AT02

    ABSTRACT: Due to scarcity of spectrum, Dynamic Spectrum Access (DSA) becomes a needed technology to improve the utilization of electromagnetic spectrum for DoD satellite communication. However, current DSA approaches are developed for terrestrial communications without addressing the unique challenges for SATCOM environments such as error-prone spectrum sensing, high mobility, and large coverage. ...

    STTR Phase I 2014 Department of DefenseAir Force
  3. Secure Efficient Cross-domain Protocols

    SBC: INFOBEYOND TECHNOLOGY, LLC            Topic: AF13AT08

    ABSTRACT: Coordinating and sharing information across multi-level security (MLS) networks are of great interest in many military applications. However, it is very challenging to accomplish those goals due to the heterogeneous security classifications of different network domains. The recent proposed cross-domain solutions (CDS) provide initial steps to make such applications possible. However, th ...

    STTR Phase I 2014 Department of DefenseAir Force
  4. High Speed High Accuracy Artificial Neural Networks for UAV based Target Identification

    SBC: UHV TECHNOLOGIES, INC.            Topic: AF18BT007

    The machine learning and artificial intelligence community has recently garnered much attention for ground breaking performance of novel neural network architectures for self-driving cars. One of the machine learning methods used in self-driving cars is semantic segmentation. In this fashion each pixel in an image is label with a class, allowing for contour-based image segmentation which is differ ...

    STTR Phase I 2019 Department of DefenseAir Force
  5. Contour Based Image Segmentation

    SBC: VY CORPORATION            Topic: AF18BT007

    We propose to detect and identify moving objects in airborne imagery and full-motion video in unconstrained environments. Conventional techniques result in too many false positives; a new topology is needed to automatically detect and identify moving targets from a moving platform in airborne imagery. Our software is designed to analyze video imagery and deliver curve metadata that can be organize ...

    STTR Phase I 2019 Department of DefenseAir Force
  6. Multiphysics Modeling of Dynamic Combustion Processes

    SBC: COMBUSTION RESEARCH AND FLOW TECHNOLOGY INC            Topic: AF18BT010

    The objective of this effort is to develop a zonal, multi-physics modeling framework for dynamic combustion processes that can capture relevant local physics and simulate system behavior. The primary focus will be on liquid rocket combustors with secondary application to gas turbines. The goal is to obtain an order of magnitude reduction in current simulation time within acceptable error limits. T ...

    STTR Phase I 2019 Department of DefenseAir Force
  7. Low-Energy Adiabatic Circuits for Space Applications

    SBC: SIGNAL SOLUTIONS, LLC            Topic: AF18BT013

    Adiabatic logic-based energy-conserving circuits have potential to significantly improve energy efficiency. Adiabatic circuits recycle charge stored in load capacitance resulting in lower power dissipation as compared to conventional CMOS. However, these circuits have only targeted low-frequency operations. Research is needed to develop adiabatic logic circuits for high performance applications wi ...

    STTR Phase I 2019 Department of DefenseAir Force
  8. Technical training software platform using machine learning and AR for Air Force maintenance and service operation

    SBC: Distat Co.            Topic: AF19BT001

    A comprehensive technical training software platform combining computer vision and Augmented Reality (AR) technologies can transform the human learning process and experience. Computer vision is leveraged to understand the physical environment, while AR is used to superimpose contextual information onto the physical world. We aim to provide software solution using AR tools and systems to address s ...

    STTR Phase I 2019 Department of DefenseAir Force
  9. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: ESTAT Actuation, Inc.            Topic: AF19BT001

    Designing actuation hardware for autonomous systems is challenging due to the high weight and power consumption of conventional actuators and clutches. Compared to existing clutch technologies, the electroadhesive clutches produced by ESTAT have exceptional holding force as a ratio of both mass and power consumption. They weigh 10x less and consumes 1000x less power than other clutching technologi ...

    STTR Phase I 2019 Department of DefenseAir Force
  10. NEUTRON: Network Enforcement Using TRansctiONs

    SBC: Smart Information Flow Technologies, LLC            Topic: AF17BT004

    SIFT proposes Network Enforcement Using TRansactONs (NEUTRON) a dynamic fine-grained network enforcement policy design that captures network dependencies. NEUTRON closes the knowledge gap between mission needs and observed network traffic to increase mission network awareness. Then using that knowledge develops a revolutionary security enforcement policy based on network transactions. It reduces t ...

    STTR Phase II 2019 Department of DefenseAir Force
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