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  • Privacy Preservation through Random Nonlinear Distortion

    A Publication, Ashok Srivastava's Collection - 10 years, 3 months ago

    Shared By: Ashok Srivastava

    Consider a scenario in which the data owner has some private or sensitive data and wants a data miner to access them for studying important ...

    meatball
  • Trajectory Clustering with Applications to Airspace Monitoring

    A Publication, Ashok Srivastava's Collection - 10 years, 3 months ago

    Shared By: Ashok Srivastava

    This paper presents a framework aimed at monitoring the behavior of aircraft in a given airspace. Trajectories that constitute typical operations are determined and learned ...

    meatball
  • Efficient Keyword-Based Search for Top-K Cells in Text Cube

    A Publication, Ashok Srivastava's Collection - 10 years, 3 months ago

    Shared By: Ashok Srivastava

    Previous studies on supporting free-form keyword queries over RDBMSs provide users with linked-structures (e.g.,a set of joined tuples) that are relevant to a given keyword ...

    meatball
  • Vehicle-Level Reasoning Systems: Integrating System-Wide data to Estimate Instantaneous Health State

    A Publication, Ashok Srivastava's Collection - 10 years, 3 months ago

    Shared By: Ashok Srivastava

    One of the primary goals of Integrated Vehicle Health Management (IVHM) is to detect, diagnose, predict, and mitigate adverse events during the flight of an ...

    meatball
  • Sparse Machine Learning Methods for Understanding Large Text Corpora

    A Publication, Ashok Srivastava's Collection - 10 years, 3 months ago

    Shared By: Ashok Srivastava

    Sparse machine learning has recently emerged as powerful tool to obtain models of high-dimensional data with high degree of interpretability, at low computational cost. This ...

    meatball
  • The Case for Software Health Management

    A Publication, Ashok Srivastava's Collection - 10 years, 3 months ago

    Shared By: Ashok Srivastava

    Software Health Management (SWHM) is a new field that is concerned with the development of tools and technologies to enable automated detection, diagnosis, prediction, and ...

    meatball
  • Space Shuttle Main Propulsion System Anomaly Detection: A Case Study

    A Publication, Ashok Srivastava's Collection - 10 years, 3 months ago

    Shared By: Ashok Srivastava

    The space shuttle main engine (SSME) is part of the Main Propnlsion System (MPS) which is an extremely complex system containing several sub-systems and components, ...

    meatball
  • Greener Aviation with Virtual Sensors: A Case Study

    A Publication, Ashok Srivastava's Collection - 10 years, 3 months ago

    Shared By: Ashok Srivastava

    The environmental impact of aviation is enormous given the fact that in the US alone there are nearly 6 million flights per year of commercial ...

    meatball
  • Structural dynamics information package

    A Publication, Aeroelastic Prediction Workshop - 12 years, 5 months ago

    Shared By: JENNIFER HEEG

    meatball
  • Symbolic identification for fault detection in aircraft gas turbine engines

    A Publication, PSU-AMES FOQA Project - 12 years, 5 months ago

    Shared By: soumalya sarkar

  • Wavelet-based feature extraction using probabilistic finite state automata for pattern classification

    A Publication, PSU-AMES FOQA Project - 12 years, 5 months ago

    Shared By: soumalya sarkar

  • HIRENASD analysis Information Package

    A Publication, Aeroelastic Prediction Workshop - 11 years, 9 months ago

    Shared By: JENNIFER HEEG

    Updated November 2, 2011 Contains summary information and analysis condition details for the Aeroelastic Prediction Workshop Information plotted in this package is found in data ...

    meatball
  • Discriminative Mixed-Membership Models

    A Publication, Nikunj Oza's Collection - 12 years, 6 months ago

    Shared By: Nikunj Oza

    Although mixed-membership models have achieved great success in unsupervised learning, they have not been widely applied to classification problems. In this paper, we propose a ...

    meatball
  • Detection of Anomalous Flights in Airline Daily Operations Based on Onboard Recorded Flight Data

    A Publication, Ames-ICAT/MIT - 12 years, 7 months ago

    Shared By: Santanu Das

    These are presentation slides.

  • ANOMALY DETECTION IN ONBOARD-RECORDED FLIGHT DATA USING CLUSTER ANALYSIS

    A Publication, Ames-ICAT/MIT - 12 years, 7 months ago

    Shared By: Santanu Das

    A method has been developed to support Flight Operations Quality Assurance (FOQA) by identifying anomalous flights based on onboard-recorded flight data using cluster analysis techniques. ...