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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. SCALABLE MULTIMEDIA DATABASE INTEGRATION AND VISUALIZATION TECHNOLOGY

    SBC: DEUMBRA, INC.            Topic: N/A

    In this proposal, we will develop a uniform framework, called a multimedia mediator, for integrating and querying multimedia data as well as heterogenous data located on a distributed network. The multimedia mediator will use distributed computing technology to scale up to real-world applications. We will develop graphical query languages and query engines whereby an end-user can query a system ...

    SBIR Phase I 1996 Department of DefenseNavy
  2. VOICE ASSISTED MISSION PLANNING VIA NATURAL LANGUAGE UNDERSTANDING ABDUCTIVE NETWORKS

    SBC: ABTECH CORPORATION            Topic: N/A

    AbTech will survey the hardware and software available to determine what capabilities should be included in a natural language understanding mission planning assistant. A language parsing and encoding system in ANN will be used to parse and encode ASCII outpuf resulting from a voice recognition system such as DragoDictate. The ASCII output from the voice recongnition system will go to the ANN la ...

    SBIR Phase I 1995 Department of DefenseNavy
  3. Sensor Fusion through Advanced Computing Techniques

    SBC: ABTECH CORPORATION            Topic: N/A

    AbTech Corporation proposes to apply its unique abductive information modeling (AIMTM) technology to develop a sensor fusion demonstration for command, control, communication, computer and information systems. Phase I is the necessary and sufficient precursor to an operational disparate sensor fusion for C4I applications. Phase I will show the feasibility of using AIM to model sensor data, threats ...

    SBIR Phase II 1997 Department of DefenseNavy
  4. Sensor Fusion through Advanced Computing Techniques

    SBC: ABTECH CORPORATION            Topic: N/A

    N/A

    SBIR Phase I 1995 Department of DefenseNavy
  5. Aircraft and Cruise Missile Mission and Route Planning in Near Real-time

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    Aircraft and cruise missile mission and route planning is a time-consuming and inflexible operation today. This effort proposes to use cooperative-competitive neural networks and Hierarchical Scene Structures for multisource and multisensor data fusion procedures that will build flexible data structures. These structures can then be accessed by a route planning neural network to generate coordinat ...

    SBIR Phase II 1995 Department of DefenseNavy
  6. NEURAL NETWORK FIGURE OF MERIT SUBSYSTEM

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    This project will develop a neural network based Figure of Merit or Target Quality Subsystem for use in Carrier and Amphibious Assult Ship Air Traffic Control Subsystem. This system will take sensor data from multiple sensors into the subsystem and determine the actual target location. This will develop confidence in the fused data. It will examine the consistence in target identification. Neural ...

    SBIR Phase I 1994 Department of DefenseNavy
  7. Develop an Expendable, Gun-Launched Observation Vehicle

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    A low risk, low cost, classical design observation vehicle will be developed for gull launching. The observation vehicle concept is based on a light-weight loitering aircraft, packaged in a "shell" that will enable the aircraft to survive the large acceleration/deceler- ation loads associated with gun launch systems. The shell encasing the observation aircraft and avionics payload is designed to ...

    SBIR Phase II 1997 Department of DefenseNavy
  8. Highly Accurate 3-Dimensional Scenario Generation

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    We will integrate existing Synthetic Scene Generation Model (SSGM) and Accurate Automation Corporation (AAC) tools into a single near-real time software package for accurate generation and visualization of scenarios. This will be directly applied ot weapons depolyment simulation and evaluation. We will also develop this into a software package for sale to the commercial market for 3-D scenario g ...

    SBIR Phase I 1995 Department of DefenseNavy
  9. Application of Neural Networks for Pattern Recognition in Logistics Data

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    In this Phase I SBIR, Accurate Automation Corporation will prototype key component technologies for a neural network-based Logistic Support Assistant that will assist Navy Supply Management personnel in planning and forecasting of logistics efforts. Fully developed as part of a Phase II effort, this system will help ensure smooth continuity of performance even when personnel are reassigned. ...

    SBIR Phase I 1996 Department of DefenseNavy
  10. Accurate Automation Corporation Fuzzy Logic/ Neural Network Processor

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    In this project we will adapt our programmable neural network processor (NNP) into a Fuzzy/neural network processor (FNNP). Already having the commercially successful NNP, we begin this program with more than half the work completed. we will define and evaluate NNP architectural modifications to optimize both data flow and data processing for both fuzzy logic and neural network- Operations- we w ...

    SBIR Phase I 1996 Department of DefenseNavy
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