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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. TheSieve

    SBC: Cyber Point International, LLC            Topic: None

    CyberPoint International presents the design of a cross platform product for the autonomous execution of live forensic investigations of Personal Computers, Laptops and Servers leveraging the NIST NSRL corpus and a combination of at least 3 forms of machine learning/artificial intelligent algorithms for the processing of preliminary digital evidence titled TheSieve. We build upon work from our pha ...

    SBIR Phase II 2019 Department of CommerceNational Institute of Standards and Technology
  2. Physics-Based Improvements for Continuous Active Sonar (CAS)

    SBC: Signal Systems Corporation            Topic: N181057

    Signal Systems Corporation proposes to develop and evaluate a novel motion-adaptive matched filter, tuning standard replicas to account for time-varying delays observed in received continuous active sonar (CAS) echoes. The method directly incorporates detailed physics models of the time-varying delays of linear frequency modulation (LFM) sweeps into the estimation algorithms, accounting for unknow ...

    SBIR Phase II 2019 Department of DefenseNavy
  3. Distributed Intelligence Gathering System (DIGS) Network Development


    An ad hoc network of small computing nodes is used to gather sensor measurements available from distributed sensor systems. Traditional communications (comm) systems used by sensor networks rely on a hub and spoke architecture that is prone to bottle-necks and routing disruptions. In a cluster or formation or mobile systems, routing of data must be more dynamic and ideally would make use of divers ...

    SBIR Phase II 2019 Department of DefenseNavy
  4. Rapid Prototype Portable Combat and Launch System


    SEA CORP will leverage the innovative technologies developed under the prior SBIR Phase II project and extend the Research & Development (R&D) activities to the development of critical submarine combat system payload integration efforts. In the previous effort, components were successfully developed facilitating integration of Improved Submarine Launched Mobile Mine (ISLMM) capability aboard subma ...

    SBIR Phase II 2019 Department of DefenseNavy
  5. Non-collinear Wave-front Curvature Range Measurement

    SBC: MIKEL, INC.            Topic: N02025

    The goal of this Phase II SBIR is to extract more information from existing submarine acoustic sensors through a highly innovative inter- and intra-sensor correlation algorithmic, in order to provide U.S. submarines with increased acoustic superiority over increasingly quiet adversaries. U.S. adversaries are continuously improving their acoustic quieting technologies through efforts such as marine ...

    SBIR Phase II 2019 Department of DefenseNavy
  6. Ignition Modeling for Present and Future Combustors and Augmentors


    The ability to predict the ignitibility potential of a combustor at various operating conditions is not practical at this time due to the complexity of this process. Ignition within a gas turbine combustor is dependent on various parameters; including spark (or plasma) energy, flow conditions, fuel/air ratio, and fuel spray density. All these parameters must be properly predicted in order to effec ...

    STTR Phase II 2018 Department of DefenseNavy
  7. Reliable Target Area of Uncertainty from an Underwater Acoustic Source(s)

    SBC: Signal Systems Corporation            Topic: N172122

    The Phase II Buoy Localization and Uncertainty Estimation (BLUE) program is developing advanced algorithms and software to improve target localization error in air ASW multistatic sonar missions. Significant improvements in target localization come from three distinct technology advancements: better knowledge of sonobuoy motion, more accurate target tracks, and improved fine bearing measurements f ...

    SBIR Phase II 2018 Department of DefenseNavy
  8. Deep Learning for Clutter Reduction in Multi-static Coherent Active Sonar Systems

    SBC: Signal Systems Corporation            Topic: N171005

    Pattern Recognition on Bayesian Estimates (PROBE) is a set of software enhancements for the Multistatic Active Coherent System (MAC) which improve clutter screening and reduce operator workload by using a convolutional deep neural network that interprets the outputs of a Likelihood Ratio Tracker (LRT). PROBE will improve MAC operations by providing earlier contact follower creation, improving trac ...

    SBIR Phase II 2018 Department of DefenseNavy
  9. Onsite Structural Restoration Methods for Aircraft Components

    SBC: Product Innovation And Engineering, LLC            Topic: N162087

    Aircraft designed for todays Navy are being pressed into service beyond their design life resulting in increase in failure rates of parts that were not expected to fail. The Phase II base project will be based on Phase I and Phase I Option work to develop a full restoration system that can be used to restore various aircraft components. The components in a damaged aircraft component will be used f ...

    SBIR Phase II 2018 Department of DefenseNavy
  10. 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

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