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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 April, 2020.

  1. 100-W Quantum Cascade Laser (QCL) Bars and 1-kW QCL Stacks

    SBC: TeraDiode, Inc.            Topic: N142093

    There is a compelling need for compact high brightness mid-wavelength infrared (MWIR) lasers. Applications of such sources include spectroscopic detection of the fingerprint of molecular absorptions, illumination, electronic warfare (EW), and infrared countermeasure (IRCM) systems in response to increasingly sophisticated seeker technologies and increased threat ranges. Todays state-of-the-art hig ...

    SBIR Phase I 2014 Department of DefenseNavy
  2. 2.5-Ton Foldable Litter

    SBC: Physical Sciences Inc.            Topic: N142089

    PSI and ABS are teaming together again to apply their lightweight deployable litter technology to the challenge of high-g loading of the transported Marine. The PSI and ABS Principal Investigators have already collaborated on the successful development of a collapsible/deployable litter that is half as heavy as the current state of the art and folds into half the volume. In addition to meeting the ...

    SBIR Phase I 2014 Department of DefenseNavy
  3. 3D Image from Sensor Fusion

    SBC: Arete Associates            Topic: N171062

    Aret Associates proposes to develop and deliver EnhancerPro 3-D, a near real-time, modular software tool based on Arets existing EnhancerPro tool and providing 3-D video and sonar model generation using Structure from Motion (SfM) algorithm toolchain.

    SBIR Phase II 2018 Department of DefenseNavy
  4. 3D Printed Magnetic Shield

    SBC: TECHNOLOGY ASSESSMENT AND TRANSFER, INC.            Topic: N172130

    Technology Assessment & Transfer, Inc. (TA&T) and their collaborators propose a 3D printed, multilayer magnetic shielding disk to protect sensitive electronics in electromagnetic railgun hypervelocity projectiles. Topology optimization coupled with multiphysics finite element analysis modeling will be employed to optimize the thickness, arrangement, and internal geometry of various metallic and ce ...

    SBIR Phase I 2018 Department of DefenseNavy
  5. A Deep Learning based Approach to Wave Characterization from INLS Warping Tug Motions

    SBC: Intelligent Automation, Inc.            Topic: N172123

    Navys ship-to-shore cargo transfer operations, supported by the INLS, is largely dependent on local wave characteristics for decision making and throughput planning. In this proposal, Intelligent Automation Inc. (IAI), along with its subcontractor Lockheed Martin (LM), propose to develop a Wave Characteristics Measurement System (WCMS) based on state-of-the-art deep learning algorithm to estimate ...

    SBIR Phase I 2018 Department of DefenseNavy
  6. A Model-assisted Damage Diagnostics and Characterization(MoDDiaC) wireless-sensor network based Structural Health Monitoring System for Composite Roto

    SBC: ACELLENT TECHNOLOGIES, INC            Topic: N122110

    Current Structural Health Monitoring (SHM) systems can be used for composite damage monitoring. However, current systems lack the ability to accurately detect, locate and characterize damage for complex composite structures with local property variation. Acellent Technologies Inc. has therefore proposed to develop reliable and consistent damage diagnostics and characterization techniques for U.S. ...

    SBIR Phase II 2014 Department of DefenseNavy
  7. A Novel Adaptive Compression System for LCS Unmanned Vehicle Sensor Data Compression

    SBC: APPLIED RESEARCH LLC            Topic: N141048

    Most sonar and camera images in practice are inherently sparse yet highly non-stationary. Optimal prediction, sampling, representation, and estimation of such signals require locally adaptive decomposition that can quickly capture the signal characteristics within a small neighborhood. In order to achieve the demanding required level of compression performance, we propose an adaptive block-based c ...

    SBIR Phase I 2014 Department of DefenseNavy
  8. A Scalable Event Extractor for Multi-Level Event Data and Pattern Archiving: SEE

    SBC: Intelligent Automation, Inc.            Topic: N17AT022

    To address the need of auto-extracting data relevant to significant events and to archive patterns, Intelligent Automation, Inc. (IAI) team proposes to continue developing a Scalable Event Extractor for Multi-Level Event Data and Pattern Archiving: SEE. The key innovations of our proposed SEE system are (1) a large class of analytics that extract valuable and important information from raw data, a ...

    STTR Phase II 2018 Department of DefenseNavy
  9. A Variable-Fidelity, Hierarchical Toolset for Integrated Electro-Optic/Infrared Plume And Signature Analysis Of Rotorcraft

    SBC: ATA Engineering, Inc.            Topic: N181010

    ATA Engineering, Inc., in collaboration with IERUS Technologies, Inc., proposes to develop an integrated framework for rotorcraft signature prediction through a modular, variable-fidelity approach that combines a widely used EO/IR toolset and an unstructured CFD solver with native rotorcraft modeling capabilities. Specifically, the project team will integrate the NASA FUN3D unstructured CFD solver ...

    SBIR Phase I 2018 Department of DefenseNavy
  10. A-PuMPS: Aircrew Performance Measurement and Proficiency System

    SBC: APTIMA, INC.            Topic: N181026

    The Navy seeks to leverage data science-based tools, methods, and principles to achieve a warfighting advantage over our enemies. For example, aggregate data regarding Warfighter proficiency could help the Navy to make better-informed decisions on topics such as curriculum redesign, simulator acquisitions, and weapons platform acquisitions. However, in order to create such a proactive and predicti ...

    SBIR Phase I 2018 Department of DefenseNavy

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