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The Award database is continually updated throughout the year. As a result, data for the given year is not complete until April of the following year. Annual Reports data is a snapshot of agency reported information for that year and hence might look different from the live data in the Awards Information charts.

  1. A New Tabular Algorithm for Rapid Vector Quantization Encoding and Nearest Neighbor Classification

    SBC: Frontier Technology Inc.            Topic: n/a

    We offer an approach to a multiple-order-of-magnitude processing speed/efficiency improvement in vector quantization (VQ) data/image compression, automatic target recognition/classification, and time signal/signature classification. We base our approach on an algorithmic breakthrough, the TABULAR NEAREST-NEIGHBOR ENCODER (TNE), which we discovered and partially developed last year. This algorithm ...

    SBIR Phase II 1998 Missile Defense AgencyDepartment of Defense
  2. A New Tabular Algorithm for Rapid Vector Quantization Encoding and Nearest Neighbor Classification

    SBC: Frontier Technology Inc.            Topic: n/a

    We offer an approach to a multiple-order-of-magnitude processing speed/efficiency improvement in vector quantization (VQ) data/image compression, automatic target recognition/classification, and time signal/signature classification. We base our approach on an algorithmic breakthrough, the TABULAR NEAREST-NEIGHBOR ENCODER (TNE), which we discovered and partially developed last year. This algorithm ...

    SBIR Phase I 1995 Missile Defense AgencyDepartment of Defense
  3. Active Expendable Electronic Counter Countermeasure (ECCM)

    SBC: Frontier Technology Inc.            Topic: n/a

    The proposed Phase I research program will define and evaluate techniques and tactics intended to counter active expendable electronic countermeasures (ECM) threats to air-launched radar-guided weapon systems. Performance will be measured in terms of the missile seeker's ability to discriminate between the expendable and the true target. These performance evaluations, together with qualitative ass ...

    SBIR Phase I 1993 Air ForceDepartment of Defense
  4. Adaptive Learning for Stall Pre-cursor Identification and General Impending Failure Prediction

    SBC: Frontier Technology Inc.            Topic: N10A-T008

    Frontier Technology, Inc. (FTI) and Northeastern University propose to investigate and develop an innovative approach to predict stall events of aircraft engines prior to occurrence and in sufficient time to allow the FADEC controller to adjust engine variables. The team will utilize vector quantization and neural network techniques to develop accurate models of engine behavior that will be used t ...

    STTR Phase I 2010 NavyDepartment of Defense
  5. Advanced Algorithms for Next Generation Wide Field-of-View (WFOV) EO/IR Staring Sensor Exploitation

    SBC: Frontier Technology Inc.            Topic: AF112-077

    ABSTRACT: Frontier Technology Inc, (FTI) proposes to improve advanced algorithms in hyper-temporal imaging (HTI) to provide new capabilities in target discrimination in challenging environmental conditions. Specifically, we propose to develop a computationally efficient algorithm for target detection and discrimination under optically obscured geometries and in closely spaced formations (within ...

    SBIR Phase I 2012 Department of DefenseAir Force
  6. Advanced Algorithms for Space-Based Next-Generation Infrared Sensor Exploitation

    SBC: Frontier Technology Inc.            Topic: AF121-085

    ABSTRACT: Discrimination and tracking of low-observable targets within a cluttered viewing environment are major challenges facing the next generation of space-based wide-field-of-view (WFOV) electro optical visible and infrared (EO-IR) sensors. Low observable targets may consist of multiple, closely-spaced objects that are poorly resolved or non-resolved, objects whose signature is comparable t ...

    SBIR Phase I 2012 Department of DefenseAir Force
  7. Advanced Algorithms for Tomographic Imgaging

    SBC: Frontier Technology Inc.            Topic: A03-195

    Current LIDAR-based ATR systems generally fail to exploit orientation information preserved in multi-view image datastreams. We propose to transition and adapt a novel technique that FTI developed in 1998 for Air Force high-range-resolution (HRR) radar signature classification to the LIDAR ATR problem. The approach is based on comparative analysis of the temporal LIDAR (or HRR) signatures obtain ...

    SBIR Phase I 2004 ArmyDepartment of Defense
  8. Advanced Prognostic and Health Management (PHM) and Model Based Prognostic Useful Life Remaining Capabilities for Aircraft Tactical Information and Co

    SBC: Frontier Technology Inc.            Topic: N07-010

    Frontier Technology, Inc. (FTI) will demonstrate the feasibility of developing prognostic models that can predict current health state, future failure and remaining useful life (RUL) for electronic systems with focus on aircraft communication, navigation and identification systems (CNI) and their components. FTI will combine principles of real-time prognostic health management that analyze system ...

    SBIR Phase I 2007 NavyDepartment of Defense
  9. Advanced Prognostic and Health Management (PHM) and Model Based Prognostic Useful Life Remaining Capabilities for Aircraft Tactical Information and Co

    SBC: Frontier Technology Inc.            Topic: N07-010

    Frontier Technology, Inc. (FTI) proposes to expand and demonstrate its successful Phase I research and development of prognostic models for use in the prediction of the health state and future failure progressions for multiple aircraft communication, navigation and identification systems (CNI) and components. FTI will assess the application boundaries, accuracy, and limitations of its PHM modelin ...

    SBIR Phase II 2008 NavyDepartment of Defense
  10. Advanced Prognostic and Health Management (PHM) and Model Based Prognostic Useful Life Remaining Capabilities for Aircraft Tactical Information and Co

    SBC: Frontier Technology Inc.            Topic: N07-010

    Frontier Technology, Inc. (FTI) will enhance the Phase I prognostic and health management (PHM) technology to interface with and monitor the real-time performance of shipboard electronic legacy systems. PHM technologies will detect and identify indicators of future failures so that they can be resolved in a manner that maximizes readiness and minimizes life cycle cost. The capabilities will be int ...

    SBIR Phase II 2014 Department of DefenseNavy

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