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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. A Sparse Information Processing Refinery for Aviation Sustainment

    SBC: Oceanit Laboratories, Inc.            Topic: A18004

    Oceanit proposes to develop a Sparse Information Processing Refinery (SIPR) targeted to the sustainment of aviation platforms, which is a graphical environment for managing and extracting information from aviation data.Unlike most existing platforms, SIPR is designed for the case where data are sparse and/or difficult to obtain.To make the most of a limited data set, SIPR leverages recent advances ...

    SBIR Phase I 2019 Department of DefenseArmy
  2. Wireless Blast Gauge with BOP Impulse Noise Tracking for Artillery & Mortar Personnel

    SBC: BLACKBOX BIOMETRICS, INC.            Topic: A18078

    We propose advancing our proven Wireless Blast Gauge System to extend the BOP range to capture impulse noise. Ultimately, the Blast Gauge System will be integrated with the weapons DFCS to automatically provide data to the crew chief and platoon / battery leadership to support informed decisions during live fire training and combat missions.

    SBIR Phase I 2019 Department of DefenseArmy
  3. Vascularized Tissue Construction Using Specialized 3D Bioprinting Techniques

    SBC: Lynntech Inc.            Topic: A17068

    Tissue engineering technology is of particular import to the Army for the matter of producing tissue replacements for the repair and regeneration of various organ systems (liver, heart, muscle, lung, etc.) for wounded patients. Unfortunately, the production of masses of tissue with thicknesses greater than ~1 mm presents a challenge due to diffusion limits of nutrients into the tissue and waste ou ...

    SBIR Phase II 2019 Department of DefenseArmy
  4. Lead Acid Battery Monitoring, Diagnostics, and Prognostics

    SBC: Oceanit Laboratories, Inc.            Topic: A17023

    In this Phase II, Oceanit proposes to further the impedance approach and battery analyzer device developed in Phase I to demonstrate an optimized technique for monitoring, diagnosis and prognosis of lead acid batteries. Oceanit shall design an integrated lead-acid battery health monitoring tool prototype for testing in an operationally relevant environment. Impedance model will be further refined ...

    SBIR Phase II 2019 Department of DefenseArmy
  5. 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
  6. EROSION RESISTANT HYBRIDSIL ICEPHOBIC COATINGS FOR AIRCRAFT PROPULSION TURBOMACHINERY INLET COMPONENTS

    SBC: Nanosonic Inc.            Topic: N182115

    Through the proposed Navy SBIR program, NanoSonic will molecularly engineer and empirically optimize its HybridSil Icephobic coating technology for imparting long-term passive ice protection to aircraft propulsion turbomachinery inlet components. Unlike competing icephobic coating technologies that rely on unreacted, surface enriching / lubricating oils that impart temporary ice protection, NanoSo ...

    SBIR Phase I 2019 Department of DefenseNavy
  7. Multifunction-Multimodal Airborne Radar in Maritime/Littoral Environments

    SBC: Azure Summit Technology, Inc.            Topic: N182120

    Airborne surveillance radars continue to advance towards more flexible architectures that enable them to address evolving adversary tactics facilitated by global proliferation of RF and High Performance Embedded Computing (HPEC) technologies. Aided by these technologies, the adversary can use multiple electronic counter measures that can confuse traditional monostatic radars and obscure the true o ...

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

    SBC: TECHNICAL DATA ANALYSIS, INC.            Topic: N182126

    Additive manufacturing technology is becoming more popular for the fabrication of 3D metal products as it offers rapid prototyping and large design freedom. However, with more complex geometric features due to topology optimization, it becomes infeasible to carry out traditional surface machining process to improve surface roughness for fatigue performance. In this effort, we will develop a novel ...

    SBIR Phase I 2019 Department of DefenseNavy
  9. 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
  10. Computer Learning Obfuscating Adversarial Kit (CLOAK)

    SBC: DECISIVE ANALYTICS CORPORATION            Topic: N182127

    In 2013, Szegedy et al. identified a series of intriguing properties of neural networks. One property introduced in the paper, adversarial examples, describes the possibility of instability in neural network classification when a small perturbation is added to input. Specifically, the authors found that a small strategic perturbation to an input image could cause a classifier to misclassify an obj ...

    SBIR Phase I 2019 Department of DefenseNavy
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