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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. Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: 1

    On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  2. 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
  3. Detection of Radio Frequency and Magnetic Field Bioeffects in Living Cells

    SBC: Quinc.Tech Inc            Topic: AF18AT001

    The Biomagnetics Micro Dosimetry System (BMDS) program will design, model, and simulate a microdosimetry system that can measure and create a three dimensional map of weak radiofrequency signals in biological organisms. The heart of the BMDS project is the front end called a Quinc, that delivers very sensitive, broad band measurements with high spatial resolution.The Quinc based front end is a val ...

    STTR Phase I 2018 Department of DefenseAir Force
  4. AgileBeam Reconfigurable Free Space Optical Communication System

    SBC: SA Photonics, Inc.            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
  5. Miniaturized Optical WDM Transmitter/Transceiver

    SBC: Freedom Photonics LLC            Topic: AF18AT010

    The objective of this program is to develop, demonstrate and implement a low reconfigurable, reliable Free Space Optical (FSO) link supporting high bandwidth communications for satellite to satellite or satellite to ground communication. The FSO Transceiver (Transmitter/Receiver) to be implemented will be small Size, Weight, Power and Cost (SWaP-C) such that it can be easily carried by compact spa ...

    STTR Phase I 2018 Department of DefenseAir Force
  6. Directional Cross-Layer Networking Solution

    SBC: Fuse Integration, Inc.            Topic: AF17BT003

    Currently networks are not taking advantage of the inherent benefits of high multi-beam directional networking. For example, the current MADL implementation simply daisy chains the nodes in the network creating multiple single points of network failure (of course retaining self-healing properties.) The Fuse Directional Cross-Layer Networking Solution (DCLNS) optimized architecture features a robus ...

    STTR Phase I 2018 Department of DefenseAir Force
  7. Closed-Loop Feedback Control for Transcranial Direct Current Stimulation

    SBC: Quantum Applied Science And 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
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