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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. Deep Inference and Fusion Framework Utilizing Supporting Evidence (DIFFUSE)

    SBC: BOSTON FUSION CORP            Topic: MDA15T001

    Combining information from disparate sensors can lead to better situational awareness and improved inference performance; unfortunately, traditional multi-sensor fusion cannot capture complex dependencies among different objects in a scene, nor can it exploit context to further boost performance. Integrating context information within a fusion architecture to reason cohesively about scenes of inte ...

    STTR Phase I 2016 Department of DefenseMissile Defense Agency
  2. Weapon Inspection, Sustainment and Recorder Device

    SBC: MAINSTREAM ENGINEERING CORP            Topic: MDA14T001

    Mainstream Engineering Corporation is developing a prognostic health monitoring system for missile electronics. Called the Weapon Inspection, Sustainment, and Recorder Device (WISARD), this stamp-sized health monitoring system operates on 3.6 mW of power and measures temperature, vibration, and humidity to estimate the remaining life of an electronics assembly. In Phase I, we developed the failure ...

    STTR Phase II 2016 Department of DefenseMissile Defense Agency
  3. Real-Time Health Management Portable Sensor for Solid Rocket Motors

    SBC: PHYSICAL SCIENCES INC.            Topic: MDA14T004

    Physical Sciences Inc. (PSI) proposes to design, develop, and demonstrate a portable, non-invasive, real-time sensor to assess the chemical and physical health of solid rocket motors as a function of age without affecting the motors integrity nor having direct contact with the propellant. In Phase II, a sensor to monitor specific gas species that are markers of the chemical and mechanical aging pr ...

    STTR Phase II 2016 Department of DefenseMissile Defense Agency
  4. Advanced Electroanalytical Methods for Failure Mode Analysis and Screening of Base Metal Capacitors

    SBC: MAINSTREAM ENGINEERING CORP            Topic: MDA14T003

    Over 95% of the multilayer ceramic capacitors manufactured worldwide use base metal electrode (BME) technology and they are one of the key components in much of the modern electronics. BME capacitors have, over the last 20 years, made significant improvements in performance and reliability; making them more competitive for a wide range of applications. However, there remains significant concerns ...

    STTR Phase I 2015 Department of DefenseMissile Defense Agency
  5. Weapon Inspection Sustainment and Recording Device (WISARD)

    SBC: MAINSTREAM ENGINEERING CORP            Topic: MDA14T001

    The process by which weapon systems go from point of manufacture to field usage is not a simple one. Devices can be held in storage for decades before use, and they can be subjected to significant and potentially damaging environmental conditions throughout the systems lifecycle. Latent and intermittent failures occur, and it is difficult to detect these malfunctions without actively monitoring ...

    STTR Phase I 2015 Department of DefenseMissile Defense Agency
  6. Real-Time Health Management Portable Sensor for Solid Rocket Motors

    SBC: PHYSICAL SCIENCES INC.            Topic: MDA14T004

    Physical Sciences Inc. (PSI) proposes to design, develop, and demonstrate a portable, non-invasive, real-time sensor to assess the chemical and physical health of solid rocket motors (SRMs) as a function of age without affecting the motors integrity. In Phase I, a sensor to monitor specific gas species that are markers of the chemical and mechanical aging processes of composite and double base pr ...

    STTR Phase I 2015 Department of DefenseMissile Defense Agency
  7. Adaptive Management and Mitigation of Uncertainty in Fusion (AMMUF)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: MDA13T001

    In our Adaptive Management and Mitigation of Uncertainty in Fusion (AMMUF) project, we will model the entire multi-sensor fusion process as a probabilistic model and reason about the different design and algorithmic decisions that can be made by system engineers. This fusion model will use standard fusion system representations and ideas from statistical relational learning field to create flexibl ...

    STTR Phase II 2015 Department of DefenseMissile Defense Agency
  8. Uncertainty Characterization Using Copulas (UC)2

    SBC: BOSTON FUSION CORP            Topic: MDA13T001

    Boston Fusion, together with our teammate Syracuse University, propose a program of research and development, Uncertainty Characterization Using Copulas (UC)2, that will result in a parametric framework based on the statistical theory of copulas for modeling uncertainties for the problem of object classification. (UC)2 will produce a mathematical framework, founded on rigorous theoretical analysis ...

    STTR Phase II 2015 Department of DefenseMissile Defense Agency
  9. Adaptive Management and Mitigation of Uncertainty in Fusion (AMMUF)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: MDA13T001

    Missile defense takes place in an uncertain and dynamic environment, so multi-sensor fusion must be employed to aggregate and merge disparate data from the battlefield. However, the fusion process is hindered by the vast amount of uncertainty in operational contexts, such as imprecise measurements and varying environmental conditions. Various algorithms and fusion processes have been developed to ...

    STTR Phase I 2014 Department of DefenseMissile Defense Agency
  10. Uncertainty Characterization Using Copulas (UC)2

    SBC: BOSTON FUSION CORP            Topic: MDA13T001

    Boston Fusion, together with our teammate Syracuse University, propose a program of research and development, namely Uncertainty Characterization Using Copulas, which will lead to a parametric framework based on the statistical theory of copulas for modeling uncertainties in a centralized fusion architecture for the problem of target classification for ballistic missile defense applications. This ...

    STTR Phase I 2014 Department of DefenseMissile Defense Agency
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