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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. FPGA-Based End-Station Security for High-Performance Networking

    SBC: Acadia Optronics, Llc            Topic: 52b

    Traditional cyber-security methods are inadequate to address the increasing number of threats within larger and higher-performance networks. The U.S. Computer Emergency Readiness Team (US-CERT), the National Institute of Standards and Technology (NIST), the Department of Energy (DOE) Office of the Chief Information Officer (CIO), and many other organizations report consistent failures within thes ...

    SBIR Phase I 2009 Department of Energy
  2. Multi-Protocol File Transfer Application For High Performance Networks

    SBC: Acadia Optronics, Llc            Topic: 52c

    High performance network users are frequently unable to achieve adequate throughput when transferring large files across wide-area networks. In general, such poor file transfer performance over ¿long fat networks¿ (LFN) is primarily caused by limitations in transport protocols and network stack configurations on end-system hosts. In addition, some traditional file transfer applications have in ...

    SBIR Phase I 2009 Department of Energy
  3. Web 2.0 Based Federated Network Management Environment

    SBC: Acadia Optronics, Llc            Topic: 52d

    There is a need for improved collaboration between and within groups of network operators and users. At present, a variety of tools exist to share network health and status between domains, reserve resources across multiple networks, and remotely access computing and storage resources. However, no unified environment exists that combines these tools into a single, easy-to-use framework. Further ...

    SBIR Phase I 2009 Department of Energy
  4. Software Management, Distribution, and Support for ESnet Network Provisioning Tools

    SBC: Acadia Optronics, Llc            Topic: 52a

    In order to enable the efficient use of high performance networks, the DOE has invested substantial resources in the development of next-generation network provisioning systems. For example, the DOE-funded tool, On-demand Secure Circuits and Advanced Reservation System (OSCARS), enables users to dynamically provision network paths with Quality of Service (QoS) guarantees. Additional work is requ ...

    SBIR Phase I 2009 Department of Energy
  5. Improving the efficiency of feed use in the cattle industry

    SBC: 3 C CATTLE FEEDERS, INC.            Topic: N/A

    3-C Cattle Feeder, in collaboration with the New Product Development Center [NPDC] at OSU will develop enhanced prototypes to be tested in the field. The doors to the feeder will be controlled by an RFID reader which actuates a motor allowing the feeder doors to open. For safety, the doors are fail-safed using an infrared safety switch to prevent the doors from closing on a cow or calf, while thei ...

    SBIR Phase II 2009 Department of Agriculture
  6. GIS Function Coupling for Virtual Globes

    SBC: WxAnalyst Ltd, Inc.            Topic: N/A

    Virtual Globe (VG) systems such as Google Earth, NASA World Winds and Microsoft Virtual Earth provide captivating animated 3D visualizations and support user queries for information at a point. NASA MSFC's VG-based Real Time Mission Monitor (RTMM) enhances management and tracking of field experiment missions. The National Weather Service's RIDGE service uses VG to disseminate radar and support dec ...

    SBIR Phase I 2009 National Aeronautics and Space Administration
  7. Techniques for Automatically Exploiting Passive Acoustic Sonar Data

    SBC: 3 Phoenix, Inc.            Topic: N06138

    The Navy reduced manning requirements drive the need for more sonar automation. Automatically detecting and classifying targets of interest meets the challenge of reduced manning and workloads required for passive anti-submarine warfare (ASW) and torpedo detection, classification and localization (TDCL). Under SBIR Phase I Topic N06-138, the team of 3 Phoenix, Inc and General Dynamics - Advanced I ...

    SBIR Phase II 2009 Department of DefenseNavy
  8. RF Over Optical Fiber

    SBC: 3 Phoenix, Inc.            Topic: AF06273

    This Small Business Innovation Research (SBIR) Phase II proposal leverages technologies developed under SBIR Topic AF06-273 to develop cost-effective technology for Radio Frequency (RF) signal distribution over fiber onboard submarines. The technology has the ability to reduce RF signal loss over long distances and across a wide frequency range; reduce the number of hull penetrations; support mast ...

    SBIR Phase II 2009 Department of DefenseNavy
  9. Embedded Training Techniques for Target Discrimination Systems

    SBC: 3 Phoenix, Inc.            Topic: N08209

    Complex systems such as the SPS-74(V) Periscope Detection Radar automatic target recognition system present difficult training challenges for enhancing and maintaining operator proficiency. Technical challenges arise from the nature of software automation. The most difficult recognition cases can usually be trained effectively only with actual sensor data. Keeping the proficiency training curren ...

    SBIR Phase I 2009 Department of DefenseNavy
  10. In situ learning for underwater object recognition

    SBC: 3 Phoenix, Inc.            Topic: N091066

    Sea mines are a cost-effective method for hostile forces to attempt to neutralize assets of the U.S. Navy by limiting mobility and creating delay. Mine detection, classification and localization (DCL) is very challenging in littoral environments due to the high clutter, increased background, and dense multipath. 3 Phoenix, Inc. has developed an innovative approach for automatic target detection an ...

    SBIR Phase I 2009 Department of DefenseNavy
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