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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. Higher Order Mesh Generation for Simulation of Complex Systems

    SBC: PARASIM INC            Topic: AF14AT07

    ABSTRACT: In this proposal, a team comprising ParaSim Inc. and the University of Utah will examine the feasibility of generating curved high-order meshes from hybrid linear meshes while retaining a given boundary geometry. Specifically, a preliminary design of a software package for creating high-order (up to 4th order and higher) hybrid-element meshes for complex geometries will be developed. S ...

    STTR Phase I 2015 Department of DefenseAir Force
  2. Higher Order Mesh Generation for Simulation of Complex Systems

    SBC: HYPERCOMP INC            Topic: AF14AT07

    In this program, HyPerComp and University of Michigan have teamedtogether to develop a high-order grid generator for Euler and viscousmeshes. The grid generator is based on HyPerComps successful generalpurpose CAD2Mesh software and is being integrated with HyPerCompsHDphysics and U. Michigans XFlow DG high-order solvers. High-order gridgeneration methods are being implemented to accurately capture ...

    STTR Phase II 2016 Department of DefenseAir Force
  3. Heterogeneous Data Discovery Using Deep Neural Networks

    SBC: KickView Corporation            Topic: AF16AT12

    Improving feature extraction, event detection, and target classification in multi-sensor systems requires new mathematical methods and processing techniques. In addition, previous research and experience suggests that leveraging sensor data that has not experienced significant dimensionality reduction can preserve subtle features when processed jointly with other relevant data. However, traditiona ...

    STTR Phase I 2016 Department of DefenseAir Force
  4. HASLOC: Hierarchical And-Or Structures forLocalization and Object Recognition

    SBC: Intelligent Automation, Inc.            Topic: AF18AT014

    Target detection and recognition is a challenging problem because of changes in appearance, viewing direction, occlusion and other covariates. Systems that can accurately and efficiently detect and track objects can provide several benefits in surveillance, monitoring and other applications. As part of this effort, we propose to develop a robust learning-based approach to detect, track and recogni ...

    STTR Phase I 2018 Department of DefenseAir Force
  5. Harness Enhanced Awareness for Radio System (HEARS) for Dynamic Spectrum Access in Space Application

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: AF13AT02

    ABSTRACT: In this project, IFT and its academic partner GMU developed an innovative Harness Enhanced Awareness for Radio Systems (HEARS) framework and technical underpinnings for DSA systems operating under conditions of imperfect knowledge, and used the framework to address challenging problems in satellite communication (SATCOM)DSA. As the logical core of the HEARS, Multi-Entity Bayesian Network ...

    STTR Phase II 2015 Department of DefenseAir Force
  6. GUARD: A Game-theoretic Universal Anti-RFI Defense framework for Satellite Communication

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: AF14AT17

    ABSTRACT: In this proposal a Game-theoretic Universal Anti-RFI Defense (GUARD) framework for Satellite Communications is proposed. Key components of the GUARD framework include i) Radio Frequency Interferences (RFI) modeling and impact evaluation infrastructure, which allows the evaluation of the impact of RFI from various sources, and provides a comprehensive RFI knowledge base to SATCOM; ii) RF ...

    STTR Phase I 2015 Department of DefenseAir Force
  7. GeSn High-Performance IR Detectors and Emitters

    SBC: APIC CORPORATION            Topic: AF16AT28

    Tensile-strained germanium tin structures will be developed for infrared emitters and detectors that are compatible with silicon fabrication processes.Optical detectors in the wavelength range of 2-5 microns will be developed by using GeSn on silicon ...

    STTR Phase I 2016 Department of DefenseAir Force
  8. Flexible Sensor Network and Its Embedded Integrated Circuits for Structural Health Monitoring

    SBC: ACELLENT TECHNOLOGIES INC            Topic: AF16AT03

    Structural Health Monitoring (SHM) can be reliably used to perform on-line health monitoring of any type of structures with minimal human involvement. Current SHM systems can perform the functions required but are heavy, bulky and difficult to integrate with the structure to provide on-board real-time structural integrity assessment. Embedding of currently available sensors and electronics used by ...

    STTR Phase II 2018 Department of DefenseAir Force
  9. EX-SCAN: Autonomous Inspection System for Aircraft Surface Coatings

    SBC: Intelligent Automation, Inc.            Topic: AF14AT09

    ABSTRACT: Current methods for inspecting the external surface of manned and unmanned low-observable (LO) aircraft are time consuming and error prone. Technology that can reduce inspection times and minimize human error will benefit the Air Force by significantly increasing aircraft reliability and availability while reducing lifecycle maintenance costs. To address this need, Intelligent Automat ...

    STTR Phase I 2015 Department of DefenseAir Force
  10. EX-SCAN: Autonomous Inspection System for Aircraft Surface Coatings

    SBC: Intelligent Automation, Inc.            Topic: AF14AT09

    Current methods for inspecting the external surfaces of low-observable (LO) aircraft are time consuming and error prone. Technology that can reduce inspection times and minimize human error will benefit the Air Force by increasing assessment reliability and aircraft availability while reducing maintenance costs. To address this need, Intelligent Automation (IAI) and Carnegie Mellon University (CMU ...

    STTR Phase II 2016 Department of DefenseAir Force
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