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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. Operating System Mechanisms for Many-Core Systems

    SBC: SECURBORATION, INC.            Topic: OSD11T04

    In the Phase I portion of this STTR, Securboration and renowned multicore expert Dr. Frank Mueller from North Carolina State University designed, developed, and benchmarked the proof-of-concept Pico-kernel Adaptive and Scalable Operating-system (PICASO) for many-core architectures. The Securboration Team took a scientific, experimentation-based approach to identifying and resolving shortcomings wi ...

    STTR Phase II 2013 Department of DefenseAir Force
  2. Design and Analysis of Multi-core Software

    SBC: SECURBORATION, INC.            Topic: OSD11T03

    Modern processor design is trending increasingly toward multicore architectures. This is problematic for programmers because writing a correct parallel program is known to be difficult compared to writing the equivalent sequential program. Additionally, a wide body of sequential code has already been developed that cannot exploit the power offered by these new cores because it was written in a s ...

    STTR Phase II 2013 Department of DefenseAir Force
  3. Autonomic Performance Assurance for Multi-Processor Supervisory Control

    SBC: COLORADO ENGINEERING INC.            Topic: OSD11T01

    Multi-processor computing systems are growing in capacity and usage. They encompass multiple, distributed implementations as well as heterogeneous, embedded computing architectures. The processing density enabled by such approaches holds promise for unmanned combat air vehicles (UCAVs) with their plethora of mission sensors and command and control processing requirements. However, the software ...

    STTR Phase II 2013 Department of DefenseAir Force
  4. Porous Hybrid Composite for Enhanced Thermal Protection Systems (ComTPS)

    SBC: NEXTGEN AERONAUTICS, INC.            Topic: AF10BT27

    ABSTRACT: The proposed research will demonstrate feasibility of a high temperature insulating, load bearing thermal protection system (TPS) using a hybrid composite technology. This program will incorporate a hierarchically porous ceramic core material in a sandwich structure with a conventional polymer matrix composite (PMC) and ceramic matrix composite (CMC) to fabricate an enhanced TPS. This m ...

    STTR Phase II 2013 Department of DefenseAir Force
  5. Low Cost High Durability Reactor for Logistic Fuel Reforming

    SBC: ALTEX TECHNOLOGIES CORPORATION            Topic: A09AT018

    Altex, a small business entity, and Pennsylvania State University (PSU), a research institution, have teamed up under this STTR program to develop the Low Cost High Durability reactor that reduces the cost of logistic fuel reforming by an order of magnitude. LCHD uses the PSU’s novel low cost catalyst and an Altex innovative reactor design with low manufacturing cost. Under the proposed program ...

    STTR Phase I 2010 Department of DefenseArmy
  6. Automating the Application of Deception Detection Heuristics to Unstructured Data

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: N10AT029

    We propose to construct a deception detection system which will exploit scaffolding provided by a collection of largely domain-independent deception detection heuristics. These heuristics, integrated through a novel evidential reasoning system, will provide the proposed system, called Skeptic, with a significant advantage over purely inductive methods by allowing it to exploit the adversarial natu ...

    STTR Phase I 2010 Department of DefenseNavy
  7. Applications of Computational Command Leadership AI Models (ACCLAIM)

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: ST092002

    A military without good leadership is a mob. Identification, preparation, guidance and mentoring of potential leaders are critical functions across all services. Leadership training and support can be substantially improved by refinement of theories and models on what constitutes good leadership, and what enables individual to be effective leaders. DoD needs better models of how leaders learn, ...

    STTR Phase I 2010 Department of DefenseDefense Advanced Research Projects Agency
  8. Intelligent RF-IR Data Fusion using Artificial Intelligence Techniques

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: MDA12T002

    There may be no more important mission for the US military than protection from ballistic missile attack. For any configuration of sensors, it is therefore extremely important to make the most of the collected sensor data. Specifically, this proposal describes how this objective can be accomplished by using artificial intelligence techniques to implement human-quality reasoning on object feature ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  9. ModelSHOP- Model for Simulated Human Operator Performance

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: MDA12T006

    We propose to develop the Model for Simulated Human Operator Performance (ModelSHOP), a behavior authoring and execution capability for injecting variable Human-in-Control (HIC) actions and decisions into Ballistic Missile Defense System (BMDS) simulation. ModelSHOP will provide a generative model structure for representing key human performance moderators to combine in different ways to simulate ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  10. Pro-Active Decision Support (PADS)

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: N13AT020

    Warfighters face overwhelmingly complex and uncertain situations in which they must make life-and- death decisions. Today"s information systems often overwhelm decision makers still further. Attention to results of cognitive science can contribute to the design of a new generation of systems that are far more helpful: based on knowledge of user roles, tasks, and context, systems can help proactive ...

    STTR Phase I 2013 Department of DefenseNavy
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