Award Data

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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 September, 2020.

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


    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. TACTS: Tactical Artificial Intelligence Cybersecurity Training System

    SBC: EpiSys Science, Inc.            Topic: MDA18001

    U.S. Government computer networks have seen an increase in the number and complexity of data breaches over the last few years. The only solution to combat this situation is to incentivize cybersecurity defenders to train more frequently with a purpose to continuously learn new skills regardless of their current skill level and to increase the speed of their Cyber Observe, Orient, Decide and Act (O ...

    SBIR Phase I 2018 Department of DefenseMissile Defense Agency
  4. Fast Algorithms for Real-Time Hypervelocity Trajectory Adjustment

    SBC: OPTIMAL SYNTHESIS INC.            Topic: MDA18002

    The proposed effort puts forward a novel methodology of real-time trajectory generation and optimization for hypervelocity projectiles based on real-time threat data. The proposed method has its roots in the model-predictive closed-loop control technique. The threats, which may consist of multiple missiles, are being observed by ground-based radars or electro-optical/infrared sensors. The hypervel ...

    SBIR Phase I 2018 Department of DefenseMissile Defense Agency
  5. Advanced Solid Axial Stage (ASAS) with Fast ResponseSecondary Hot Gas Injection TVC

    SBC: Valley Tech Systems, Inc.            Topic: MDA18004

    The United States has fielded a layered missile defense system to counter and defeat current hostile missile threats. However, evolving adversarial capabilities requires new propulsion technologies that are highly responsive, agile and compatible to current MDA interceptor platforms. To meet this evolving need, Valley Tech Systems (VTS) is proposing the development of a high performance Affordable ...

    SBIR Phase I 2018 Department of DefenseMissile Defense Agency
  6. Advanced High End Gyroscopes for Small Form Factor Inertial Measurement Unit Applications

    SBC: Freedom Photonics LLC            Topic: MDA18005

    In this program, Freedom Photonics will develop a novel, miniature gyroscope that meets the requirements of the MDA. This gyroscope will be based on our prior work and demonstration of the gyroscope with similar performance, but larger footprint.Approved for Public Release | 18-MDA-9710 (6 Jul 18)

    SBIR Phase I 2018 Department of DefenseMissile Defense Agency
  7. Lightweight Structures for Future Interceptors

    SBC: The Peregrine Falcon Corporation            Topic: MDA18006

    The Peregrine Falcon Corporation utilizing its proprietary technology in the fabrication of exotic materals will produce kinetic vehicle components such as sensor baffles, bulkheads, protective covering, shielding, interfaces, deployment systems, separations systems, housing structures for electronics, and even primary structure that will yield the lightest weight, highest performance structures p ...

    SBIR Phase I 2018 Department of DefenseMissile Defense Agency
  8. Nanoscale Vacuum Channel Transistor (NVCT)

    SBC: Innoflight, Inc.            Topic: MDA18007

    Nanoscale Vacuum Channel Transistor (NVCT) technology has been demonstrated as intrinsically insensitive to ionizing radiation effects and robust enough to operate in elevated thermal environments. Nanofabrication processes need to be matured and methods need to be developed to enable advance circuits. The Ballistic Missile Defense System (BMDS) sensor and countermeasure elements can leverage NVCT ...

    SBIR Phase I 2018 Department of DefenseMissile Defense Agency
  9. Radiation Hardened Electronics and Techniques

    SBC: INNOSYS, INC.            Topic: MDA18007

    The MDA has needs for radiation-hardened electrical components and circuits. Thermionic-based vacuum devices have demonstrated their ruggedness and insensitivity to radiation, making them the top choice for space based operation.However, manual and cumbersome fabrication does not render it to circuit integration in an integrated circuit (IC) format to ensure best reliability and performance possib ...

    SBIR Phase I 2018 Department of DefenseMissile Defense Agency
  10. Variational Object Recognition and Grouping Network

    SBC: Intellisense Systems, Inc.            Topic: NGA181005

    To address the National Geospatial-Intelligence Agency (NGA) need for overhead imagery analysis algorithms that provide uncertaintymeasures for object recognition and aggregation, Intellisense Systems, Inc. (ISS) proposes to develop a new Variational Object Recognition andGrouping Network (VORGNet) system. It is based on the innovation of implementing a Bayesian convolutional neural network (CNN) ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
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