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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.

Displaying 205241 - 205250 of 207725 results
  1. A New Integrated Approach to Intrusion Prevention, Detection, and Response

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: N/A

    We propose an innovative combination of artificial intelligence (AI) techniques in the design of a unique system for defensive information warfare. By drawing on our experience developing intrusion detection systems, software agents, and machine learning techniques, we propose to integrate configuration checking tools, an intrusion detection system, and software agents to provide system administra ...

    SBIR Phase II 1998 Department of DefenseAir Force
  2. A Case-Based Reasoning Approach to Parts Obsolescence Prediction

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: N/A

    The ultimate aim of this research is to develop a computer system to aid in producing accurate parts obsolescence predictions. This can be accomplished through the automated use of previous experience, which consists of information on existing parts. The feasibility of an automated system which uses existing components as cases to aid the obsolescence prediction for a current part will be demonstr ...

    SBIR Phase I 1994 Department of DefenseNavy
  3. Artificial Intelligence Techniques for SAF Based on Potential Tactics

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: N/A

    The current Semi-Automated Forces (SAF) OPFOR does not provide a realistic interactive opponent for the Close Combat Tactical Trainer (CCTT). This problem exists because the SAF in CATT only encodes Soviet doctrine utilized in Central Europe. The U.S. Army does not anticipate meeting an army based on Soviet doctrine in Central Europe, therefore the U.S. Army requires a more varied SAF OPFOR. Th ...

    SBIR Phase I 1996 Department of DefenseArmy
  4. Artificial Intelligence Techniques for Reusable Tactics Expert Systems

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: N/A

    We will develop a general schema for naval warfare tactics representation using Artificial Intelligence (AI) and Expert System technology to capture the human decision processes. Since the representation and automatic execution of tactics is a complex problem we will take an integrated approach using a variety of AI techniques. These techniques include knowledge-based representations (rules ...

    SBIR Phase I 1996 Department of DefenseNavy
  5. A Case-based Reasoning Approach to Intelligent Tutoring Systems

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: N/A

    In Phase I, we will investigate a case-based reasoning (CBR) approach to intelligent tutoring systems (ITSs) and explore the feasibility of semi-automated/automated course authoring techniques to speed collection and structuring of domain knowledge. We will develop a prototype example-based ITS, enhanced with multimedia, within a specific Navy instructional domain and a generic ITS architec ...

    SBIR Phase I 1996 Department of DefenseNavy
  6. A Case-based Reasoning Approach to Intelligent Tutoring Systems

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: N/A

    In Phase I, we will investigate a case-based reasoning (CBR) approach to intelligent tutoring systems (ITSs) and explore the feasibility of semi-automated/automated course authoring techniques to speed collection and structuring of domain knowledge. We will develop a prototype example-based ITS, enhanced with multimedia, within a specific Navy instructional domain and a generic ITS architec ...

    SBIR Phase II 1998 Department of DefenseNavy
  7. Automated Recovery Planning Assistance for Unknown Anomaly Resolution

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: N/A

    The identification and resolution of unknown satellite anomalies currently demands a significant portion of costly technical resources. We have done work demonstrating the feasibility of employing a synergistic combination of model-based and case-based reasoning methods to the anomaly identification task. We now propose to apply this technology to the recovery aspect of the problem. We propose ...

    SBIR Phase I 1997 Department of DefenseAir Force
  8. A Case-based Reasoning Approach to Internet Intelligent Tutoring System Authoring

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: N/A

    Intelligent tutoring systems (ITSs) have shown great promise in military training domains and can achieve many of the same benefits as one-on-one instruction, in a cost-effective manner. However, the key to the effectiveness of this instruction is the successful transition of laboratory systems to real-world domains and the extent of the technical knowledge the system contains. Traditional appro ...

    SBIR Phase I 1997 Department of DefenseAir Force
  9. Artificial Intelligence Support for Graphics-Based Information Access

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: N/A

    We propose an innovative combination of artificial intelligence and data visualization techniques in the design of a tool for graphical manipulation and browsing of document collections. By drawing on our experience with information processing environments and our work developing useful graphical representations of complex information, we have devised an eclectic approach which incorporates a vari ...

    SBIR Phase I 1997 Department of DefenseAir Force
  10. A Uniform Interface for Active and Intelligent Information Access and Discovery

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: N/A

    We propose an innovative combination of artificial intelligence (AI) techniques in the design of a software agent based tool for the discovery of information in networks of heterogeneous information resources. Specifically, our agent would act as a meta level interface to database resources in order to aid users in data analysis tasks. Within this framework we will offer tools which enable interac ...

    SBIR Phase I 1997 Department of DefenseAir Force
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