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Award Data

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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. Optical Periodontal Probe

    SBC: ABIOMED, INC.            Topic: N/A

    The objective is an optical periodontal probe tailored to automatically measure and record multiple tissue parameters deemed important for disease detection and treatment monitoring. As a first step in the development of a multi-functional device, a probe designed to mimic the visual measurements made by dental clinicians to determine pocket depth, bleeding on probing (BOP) and tissue coloration w ...

    SBIR Phase II 1996 Department of Health and Human Services
  2. Sensor Fusion in a Dynamic Model-Based System

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    An approach to object identification and sensor fusion of images is proposed. Preprocessing techniques which perform a useful and computationally efficient transformation on the image will be considered. Once the image has been transformed to a more efficient format, mathematical morphology and neural networks are proposed to address the issues of edge detection, identification, sensor fusion and ...

    SBIR Phase II 1994 Department of DefenseAir Force
  3. Neural Network Methods for Preventing Unstarts

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    We will use an innovative neural network algorithm to perdict and control National Aero-Space Plane(NASP) unstarts at the earliest possible moment. Unstarts present a design challenge to hypersonic aircraft. An unstart occurs when the pressure at the aft end of the engine flow path reaches a critical level. This overpressure causes a "choking" of the air flow. The flow tends to spill around the in ...

    SBIR Phase II 1994 Department of DefenseAir Force
  4. Advanced Neurocontrol Methods for a Remotely Piloted Vehicle

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    During Phase I we will advance and develop innovative Adaptive Critic based neural network control methodologies specifically for a Remotely Piloted Vehicle (RPV) based upon the aerodynamics of the National AeroSpace Plane (NASP). Phase II will involve the actual implementation which will prove these neurocontrol concepts. This work will be the first step in creating the complex aerocontroller for ...

    SBIR Phase I 1994 Department of DefenseAir Force
  5. Investigation of Neural Network Hardware for Electronic Warfare Applications

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    Accurate Automation Corporation (AAC) has developed a new artificial neural network processor (NNP) based upon a sparse Multiple Instruction Multiple Data (MIMD) structure which is ideally suited for Electronic Warfare (EW) applications. The proposed research will investigate the use of the AAC NNP for EW applications such as emitter identification which is used in ELINT, ESM, and RWR receivers. T ...

    SBIR Phase II 1996 Department of DefenseAir Force
  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. Hypersonic UAV Flowpath Design and Control

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    We will design a flowpath and a neural network based propulsion system controller for LoFlyte I, a remotely piloted vehicle (RPV) based upon the aerodynamics of the National AeroSpace Plane (NASP). This work will be the first step to a highly innovative RAM/SCRAM propulsion system and to a propulsion controller for the ultimate aircraft in the LoFlyte Unmanned Autonomous Vehicle (UAV) program seri ...

    SBIR Phase I 1994 Department of DefenseAir Force
  8. Hypersonic Neurocontrol Actuator and Testbed

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    The purpose of this proposal is to develop a new generation of "SMART" neurocontrol actuator systems for use on hypersonic aircraft. Develop a testbed to see that the actuator system will work. This will also optimize and scale the testbed vehicle sizing. This concept using adaptive neural network technology will improve performance and behavior for hypersonic aircraft like the National AeroSpace ...

    SBIR Phase I 1994 Department of DefenseAir Force
  9. Nondestructive Evaluation of Advanced Material Substances

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    The manufacture of composite materials for use as high confidence components in aircraft has resulted in a requirement for rigorous defect analysis. This proposal researches the use of neural network technology combined with Laser Ultrasonics to provide the quality assurance inspector with the capability of identifying potential defects in composite structures. Neural network technology is used to ...

    SBIR Phase I 1994 Department of DefenseAir Force
  10. Neural Network Compensation Strategy for Preventing Pilot-Induced Oscillations

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    We propose to develop an automated Pilot Induced Oscillation (PIO) detection and compensation system. This will use artificial neural networks to increase speed and the envelope of operation. PIO is caused when a pilot overcompensates during a "high gain" task such as landing, takeoff, refueling, dropping stores, or tracking. It can also be caused by inefficiencies in the inner loop controllers ...

    SBIR Phase II 1996 Department of DefenseAir Force
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