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 June, 2020.

  1. Monolithic high-power QCL-based photonic integrated circuits for two-dimensional beam steering

    SBC: TransWave Photonics, LLC            Topic: N182109

    TransWave Photonics, LLC in collaboration with the University of Texas at Austin, proposes to demonstrate a mid-infrared 2-dimensional beam-steering photonic integrated circuit (PIC) with a passive InGaAs/InP platform where high performance mid infrared quantum cascade laser sources, low-loss InGaAs waveguides, and beam steering photonic elements are monolithically integrated. Low mid-infrared opt ...

    SBIR Phase I 2019 Department of DefenseNavy
  2. Multifunction-Multimodal

    SBC: SYSTEMS & TECHNOLOGY RESEARCH LLC            Topic: N182120

    Systems & Technology Research (STR) proposes the development of a novel multifunction/multimodal airborne radar architecture leveraging STRs extensive experience in the development of software, hardware, and advanced algorithms for a wide variety of airborne radar applications. On this program, we will focus on the development of a fundamentally new airborne radar architecture that optimizes airbo ...

    SBIR Phase I 2019 Department of DefenseNavy
  3. Effect of Surface Finish and Post-Processing on the Fatigue Life of Additively Manufacturing Parts

    SBC: Triton Systems, Inc.            Topic: N182126

    Triton will develop a surface finishing process that can efficiently post-process additively manufactured metallic components to a consistent finish while enhancing material properties and part performance. Naval materials of interest include titanium, aluminum, nickel, aluminum, bronze, and stainless steel alloys.

    SBIR Phase I 2019 Department of DefenseNavy
  4. Fooling Computer Vision Classifiers with Adversarial Examples

    SBC: Triton Systems, Inc.            Topic: N182127

    Triton Systems Inc. propose to create adversarial image techniques that will both fool U.S. classifiers and can applied in operationally relevant physical modification kits to military objects. We will develop a rapid process to generate adversarial images, translate them into physical modification kits and demonstrate a reliable system to camouflage the target object independent of classifier loc ...

    SBIR Phase I 2019 Department of DefenseNavy
  5. Fooling Computer Vision Classifiers with Adversarial Examples

    SBC: Lynntech Inc.            Topic: N182127

    The Lynntech team proposes to develop a Computer Vision FoolKit system that integrates cutting-edge approaches to systematically evaluate physically realizable adversarial attacks against several leading computer vision classifiers. It has been noted that most deep neural networks are demonstrably vulnerable to adversarial examples, even in the form of small-magnitude changes in intensities of the ...

    SBIR Phase I 2019 Department of DefenseNavy
  6. Submarine Sensor Environmental Inference

    SBC: Triton Systems, Inc.            Topic: N182135

    Triton Systems proposes to develop environmental inference capabilities to provide in situ characterizations of the speed and attenuation of sound in the seabed and water column to enhance the tactical decisions and warfighting posture of submarines so informed.

    SBIR Phase I 2019 Department of DefenseNavy
  7. Submarine Sensor Environmental Inference

    SBC: KSA, LLC            Topic: N182135

    The Base and Option propose applying machine learning (ML) deep learning (DL) methods to estimate the Waveguide Invariant (WGI). The ML and DL application also provide prior parameterization of the waveguide. Data fusion methods generate Energy Spectral Density (ESD) and Empirical Orthogonal Functions (EOF) to characterize the uncertainty of the sound speed profile in the water column from which t ...

    SBIR Phase I 2019 Department of DefenseNavy
  8. Compact Low Noise Acoustic Sensors for Sonobuoys

    SBC: MSI Transducers Corp.            Topic: N182136

    Through this effort, the team of MSI Transducers and QorTek will develop a compact, low-cost, low-noise acoustic sensor for sonobuoys. The MSI concept fully utilizes its expertise in the design, development, and fabrication of transducers, combined with QorTeks expertise in power electronics, underwater amplifiers and next generation piezoelectric materials, to develop a compact low-noise system.

    SBIR Phase I 2019 Department of DefenseNavy
  9. Quantum Cascade Laser Thermal Impedance Improvement

    SBC: Pendar Technologies, LLC            Topic: N182113

    Since the demonstration of the first quantum cascade laser (QCL) in 1994, there has been a steady improvement of the demonstrated power level and wall-plug efficiency. As expected for most maturing technologies, this rate of progress has slowed down as the parameter space of novel ideas has been more fully explored. R&D efforts however have not yet focused specifically on the thermal impedance of ...

    SBIR Phase I 2019 Department of DefenseNavy
  10. Mid-infrared quantum cascade lasers with highly efficient heat extraction architecture

    SBC: TransWave Photonics, LLC            Topic: N182113

    TransWave Photonics, LLC in collaboration with the University of Texas at Austin proposes to demonstrate a new active region and thermal packaging configuration for the mid-wave infrared quantum cascade lasers that provide both high modal overlap with the laser active region and a dramatically reduced thermal impedance of the laser compared to the current state-of-the-art. The proposed laser desig ...

    SBIR Phase I 2019 Department of DefenseNavy
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