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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. Optimized Higher Power Microwave Sources

    SBC: Epirus, Inc.            Topic: N19AT001

    Epirus presents a high powered microwave source that leverages ultra high power density solid state materials, called Leonidas, to meet all of the governments objectives for the vehicle stop and vessel stop mission. The Leonidas unit has already achieved over 10 kW of effective radiated power (ERP) in laboratory tests using software definable solid state technology and we show how this scales to a ...

    STTR Phase I 2019 Department of DefenseNavy
  2. Conjugate heat transfer for LES of gas turbine engines

    SBC: CASCADE TECHNOLOGIES, INC.            Topic: N19BT027

    Current design tools for gas turbine engines invoke a variety of simplifying assumptions to estimate heat transfer to solid/metal engine components (e.g., isothermal boundary conditions). These approximations are often not valid, result in inaccurate predictions of heat transfer, and ultimately compromise the thermal integrity of propulsion and power systems. Wall-modeled large eddy simulation (WM ...

    STTR Phase I 2019 Department of DefenseNavy
  3. Data Science Techniques for Various Mission Planning Processes and Performance Validation

    SBC: Perceptronics Solutions, Inc.            Topic: N19BT029

    Mission and planning is a difficult and time-consuming process that places a heavy burden on manpower and critical thinking and is performed under significant pressure. Existing and emerging artificial intelligence (AI) and machine learning (ML) techniques are well-suited to assisting humans with these challenges. While the promise of AI/ML is great, there are significant obstacles to operationali ...

    STTR Phase I 2019 Department of DefenseNavy
  4. Homopolar AC Electric Machines for Naval Applications

    SBC: McCoy Consulting, LLC            Topic: N19AT007

    The objective of this proposed effort is to increase the power and torque density of rotating electric machinery for Naval applications by up to 50%. This aggressive goal will be achieved by developing the novel homopolar AC machine (HAM) topology. This relatively un-studied topology relies on solenoidal field and armature coils, making manufacturing simpler than traditional machines. The HAM elim ...

    STTR Phase I 2019 Department of DefenseNavy
  5. Comprehensive Surf Zone Modeling Tool

    SBC: Arete Associates            Topic: N19AT010

    Aret Associates, along with STTR partner Rochester Institute of Technology (RIT), are proposing a comprehensive software capability for scene generation, object insertion, and performance modeling for passive and active EO COBRA sensors over the surf zone. The Surf Zone Modeling Tool (SZT) will incorporate several technologies, including: open-source and Aret-designed SZ ocean physics models, an i ...

    STTR Phase I 2019 Department of DefenseNavy
  6. Quantum Cascade Laser Array with Integral Wavelength Beam Combining

    SBC: Mirios, Inc.            Topic: N19AT005

    Mirios Inc., in collaboration with UCSB and NRL, proposes to construct a high-brightness MWIR (~4.5-4.9 m) light source, consisting of a single silicon chip with an array of Quantum Cascade Lasers which are fully-integrated with wavelength beam combiners.

    STTR Phase I 2019 Department of DefenseNavy
  7. Unified Logging Architecture for Performance and Cybersecurity Monitoring

    SBC: Real-time Innovations, Inc.            Topic: N19AT012

    We propose to develop an open, highly scalable, extensible and secure unified logging architecture for performance and cybersecurity monitoring for Naval Control Systems (NCSs). The primary goal of this architecture is to realize a centralized logging infrastructure for monitoring the status of the entire NCS through collecting and aggregating logs from all subsystems. It will be built upon widely ...

    STTR Phase I 2019 Department of DefenseNavy
  8. 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
  9. 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
  10. 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
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