See All Resources (471)
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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, ...
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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 ...
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Structural dynamics information package
A Publication, Aeroelastic Prediction Workshop - 12 years, 5 months ago
Shared By: JENNIFER HEEG
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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
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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
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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 ...
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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 ...
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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.
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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. ...