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The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.

Download all SBIR.gov award data either with award abstracts (290MB) or without award abstracts (65MB). A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.

The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.

  1. Using Stylistic Topic Models to Detect Deception Through Unusual Linguistic Activity

    SBC: KITWARE INC            Topic: N10AT029

    Analysts are faced with the challenge of sifting through enormous quantities of documents, blog posts, communications, etc. to find deceptive behaviors. We propose novel techniques for efficiently and automatically detecting deception on large data with high accuracy by using methodologies from both stylometry and topic modeling. This combined approach will learn models of authors and will detect ...

    STTR Phase I 2010 Department of DefenseNavy
  2. Unified Logging Architecture for Performance and Cybersecurity Monitoring

    SBC: INNOVATIVE DEFENSE TECHNOLOGIES, LLC            Topic: N19AT012

    In order to achieve real-time monitoring, analysis, and alerting for complex systems, a unified logging architecture must exist that can support the collection and analysis of big data. Our technical objective is to develop a unified logging architecture that supports collection, aggregation, storage, and analysis of system performance and cybersecurity logs, events, and alerts produced by Naval C ...

    STTR Phase I 2019 Department of DefenseNavy
  3. Situational Awareness as a Man-Machine Map Reduce Job

    SBC: DECISIVE ANALYTICS CORPORATION            Topic: N13AT024

    This effort is focused on the development of a system called Situational Awareness via Mixed-initiative Universal Recognition, Analysis, and Inference (SAMURAI). SAMURAI will provide a single cloud-enabled end-to-end workflow covering the full range of data analysis from data ingest to situational assessment and decision support. As part of this workflow SAMURAI will provide the ability for automa ...

    STTR Phase I 2013 Department of DefenseNavy
  4. Robust, Low Permeability, Water-Filled Microcapsules

    SBC: LUNA INNOVATIONS INCORPORATED            Topic: N19BT030

    The Navy is actively developing a self-sealing, water-activated fuel bladder to mitigate fuel leaks upon mechanical shock (e.g. penetration by a .50 caliber bullet). To circumvent the requirement of an external water source to activate the self-sealing, this system will require water-filled microcapsules that can be incorporated directly into the polymeric matrix of the fuel bladder. Upon mechanic ...

    STTR Phase I 2019 Department of DefenseNavy
  5. Refractory Metal Coating for Electromagnetic Launcher Rails

    SBC: TDA RESEARCH, INC.            Topic: N10AT025

    Electromagnetic launchers or rail guns are a key component of the Navy’s all-electric ship of the future, but they lack the durability required for repeated firings. TDA Research and the University of Nevada, Reno (UNR) are developing a tough, durable and conductive refractory metal coating that will protect the copper alloy conductors (rails) from the extreme heat and wear conditions inside the ...

    STTR Phase I 2010 Department of DefenseNavy
  6. Reduced Order Modeling (ROM) for UUV/USV Environmental Awareness-- 19-013

    SBC: METRON INCORPORATED            Topic: N19AT022

    In Phase I, Metron and the University of Miami (UM) propose to develop a theoretic reduction of dynamics framework applicable to the prediction of oceanographic fields in geophysical fluid dynamic models for use onboard unmanned platforms. Our approach leverages, extends and combines modern advances in the renormalization group and Bayesian probability combined with fluid dynamics modeling and for ...

    STTR Phase I 2019 Department of DefenseNavy
  7. Real-Time Validation of Machine Intelligence Controlling Unmanned Vehicle Autonomous Operations

    SBC: XL SCIENTIFIC LLC            Topic: N18BT032

    To realize the full potential of autonomous systems, it is imperative that they behave safely, correctly, ethically, and legally. Providing these assurances through offline verification alone is insufficient, due to the complex and changing nature of autonomous systems. Online monitoring and corrective actions are necessary to account for uncertainties, and to increase trust between a human superv ...

    STTR Phase I 2019 Department of DefenseNavy
  8. Quench Monitoring and Control System for High-Temperature Superconducting Coils

    SBC: ADVANCED CONDUCTOR TECHNOLOGIES LLC            Topic: N19AT016

    The Navy has been developing superconducting systems, based on high-temperature superconductors (HTS), for future use on Navy ships. One of the challenges associated with superconducting magnets is the possibility of a quench, which is an event where a local hot spot develops within the superconductor that quickly spreads throughout the device, driving it into its normal and dissipative state. Sen ...

    STTR Phase I 2019 Department of DefenseNavy
  9. PVDF Wire Sensor for External Monitoring of Piping Sound Pressure Level

    SBC: SMD Corporation            Topic: N10AT016

    In this project we propose to demonstrate the feasibility of an external pipe sensor for measuring sound pressure levels in submarine piping systems. The sensor consists of flexible PVDF wire wrapped a number of integral turns around the pipe exterior. The charge/voltage output of the sensor can be shown to be directly proportional and highly sensitive to the amplitude of the contained fluid pulsa ...

    STTR Phase I 2010 Department of DefenseNavy
  10. Progressive Model Generation for Adaptive Resilient System Software

    SBC: GRAMMATECH INC            Topic: N13AT014

    Software continues to be a weak link in our critical systems. A prudent operator should employ a defense-in-depth strategy whereby"safe"systems are still monitored to detect breaches and respond to them. Unfortunately, such monitoring is challenging in practice, since there is no universal pattern that characterizes misbehaving software. We will capture an application"s intended behavior as it is ...

    STTR Phase I 2013 Department of DefenseNavy
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