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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. High Efficiency Low Weight W-Band PolyStrata Antenna

    SBC: Nuvotronics, LLC            Topic: N132087

    Nuvotronics is proposing to Navy SBIR number N132-087 to develop novel high efficiency, light weight, low manufacturing cost 94 GHz antenna modules toward future Active Denial Technology systems. RF passive components based on waveguides are generally very low loss but are heavy, expensive to machine at high frequency and bulky. Components based on substrate material such as ceramic or printed cir ...

    SBIR Phase I 2014 Department of DefenseNavy
  2. Development of Adaptive Vorticity Confinement Based CFD Methodology for Rotorcraft Applications

    SBC: Illinoisrocstar, L.L.C.            Topic: N132092

    The accurate representation of the rotor wake, especially the tip vortex structure, in a computationally efficient and algorithmically straight forward way is crucial for prediction of rotor aerodynamic performance, noise emission, and rotor structural dynamics. A promising approach for design and optimization is the vorticity confinement (VC) method that minimizes the numerical diffusion of vorti ...

    SBIR Phase I 2014 Department of DefenseNavy
  3. Automated Concept Map Elicitation (ACME)


    Rapid response missions to remote, unknown areas are becoming a primary focus for U.S. military forces. These missions require time-sensitive development of intelligence from all available sources including open source data, historic imagery, and live collections. Capabilities currently exist to extract low-level information (i.e. entities, relationships, and actions) from these large scale data s ...

    SBIR Phase I 2014 Department of DefenseNavy
  4. Automatic Concept Maps:asA and:inA Dynamic Wiki

    SBC: Commonwealth Computer Research Inc            Topic: N132128

    Representing knowledge in a triple store is trivial, yet querying and visualizing the resulting knowledge is difficult and inefficient when the number of triples is large. Needing to understand the data models from each of the contributing processes and how these data models overlap or interact further complicates this problem. Visualization tools for knowledge stored in the Resource Description F ...

    SBIR Phase I 2014 Department of DefenseNavy
  5. Generalized Query Planner for Distribute Fusion

    SBC: Harmonia Holdings Group, LLC            Topic: N132135

    Our military"s ability to dominate the battlespace depends on the ability to first"see"the battlespacethat is, for our military commanders to have awareness of the environment, entities, activities, and intent of both our adversaries and ourselves. The things we don"t control must be observed, interpreted, and analyzed to understand a situation and predict potential outcomes."Observations"come fro ...

    SBIR Phase I 2014 Department of DefenseNavy
  6. Resolving Independent Perspectives by Providing Learning-Enabled Enhanced Fusion For Elastic Cloud Technologies (RIPPLE-EFFECT)


    To maintain situational awareness, analysts must sift through and fuse information across multiple documents, data sources, and modalities (text, imagery, and biometrics). The emergence of Big Data has placed an enormous burden on the analyst as the volume of data to examine has increased dramatically while the analyst"s capacity to understand and fuse information remains constant. Additionally, t ...

    SBIR Phase I 2014 Department of DefenseNavy
  7. Distributed Relational Learning for Cloud Data Fusion

    SBC: Commonwealth Computer Research Inc            Topic: N132135

    The US military and intelligence community has been successfully fusing the data it gathers into actionable intelligence. However, the volume of data is increasing such that it cannot be processed on a single server, calling for distributed data fusion algorithms that operate across a cloud. As data grows to the point of requiring distributed storage, machine learning algorithms capable of produci ...

    SBIR Phase I 2014 Department of DefenseNavy
  8. Mine Drift Prediction Tactical Decision Aid (TDA)

    SBC: ADAPTIVE METHODS, INC.            Topic: N132136

    Adaptive Methods, teamed with Navmar Applied Sciences Corporation (NASC), proposes to develop algorithms for a Tactical Decision Aid (TDA) capable of adaptively tracking and predicting the locations of drifting mines. The TDA is capable of optimizing Mine Counter Measure (MCM) asset deployment plans and producing maneuver routes that minimize ship risks. Our approach develops new technologies for ...

    SBIR Phase I 2014 Department of DefenseNavy
  9. Mine Drift Prediction Tactical Decision Aid (TDA)- MP 65-13

    SBC: Metron, Incorporated            Topic: N132136

    The goal of the proposed work is to use real-time environmental observations, wind and ocean current models, and other sources of information to predict the drift of mines. The predicted trajectories of the mines will be used as inputs to modules that will be developed to recommend (1) search plans to search for or neutralize mines and (2) ship paths that minimize risk.

    SBIR Phase I 2014 Department of DefenseNavy
  10. High Data Rate Acoustic Communication

    SBC: Azure Summit Technology, Inc.            Topic: N132138


    SBIR Phase I 2014 Department of DefenseNavy
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