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Federal
Identification of Spatial Fault Patterns in Semiconductor Wafers
National Aeronautics and Space Administration —
Abstract The semiconductor industry is constantly searching for new ways to increase the rate of both process development and yield learning. As more data is being... -
Federal
An Integrated Approach to Battery Health Monitoring using Bayesian Regression, Classification and State Estimation
National Aeronautics and Space Administration —
The application of the Bayesian theory of managing uncertainty and complexity to regression and classification in the form of Relevance Vector Machine (RVM), and to... -
Federal
Decadal Variations in NDVI and Food Production in India
National Aeronautics and Space Administration —
In this study we use long-term satellite, climate, and crop observations to document the spatial distribution of the recent stagnation in food grain production... -
Federal
A Bayesian Framework for Remaining Useful Life Estimation
National Aeronautics and Space Administration —
The estimation of remaining useful life (RUL) of a faulty component is at the center of system prognostics and health management. It gives operators a potent tool in... -
Federal
HIRENASD Unstructured Grids - VGRID software
National Aeronautics and Space Administration —
These grids were constructed using VGRID software from NASA Langley. The grids designed for node based (labeled 'nc') and cell-centered solvers are supplied. Grids... -
Federal
Solving a prisoner's dilemma in distributed anomaly detection
National Aeronautics and Space Administration —
Anomaly detection has recently become an important problem in many industrial and financial applications. In several instances, the data to be analyzed for possible... -
Federal
Comparison of Unsupervised Anomaly Detection Methods
National Aeronautics and Space Administration —
Several different unsupervised anomaly detection algorithms have been applied to Space Shuttle Main Engine (SSME) data to serve the purpose of developing a... -
Federal
AISRP Presentations
National Aeronautics and Space Administration —
AISRP Presentations from CIDU/AISRP 2009. -
Federal
Health Monitoring and Prognostics for Computer Servers
National Aeronautics and Space Administration —
Abstract Prognostics solutions for mission critical systems require a comprehensive methodology for proactively detecting and isolating failures, recommending and... -
Federal
Privacy Preserving Distributed Data Mining
National Aeronautics and Space Administration —
Distributed data mining from privacy-sensitive multi-party data is likely to play an important role in the next generation of integrated vehicle health monitoring... -
Federal
BSCW Unstructured Grids - VGRID software
National Aeronautics and Space Administration —
These grids were constructed using VGRID software from NASA Langley. The grids designed for node based (labeled 'nc') and cell-centered solvers are supplied. Grids... -
Federal
On the Statistics and Predictability of Go-Arounds
National Aeronautics and Space Administration —
This paper takes an empirical approach to identify operational factors at busy airports that may predate go-around maneuvers. Using four years of data from San... -
Federal
ASIAS - Some History
National Aeronautics and Space Administration —
The ASIAS effort builds on demonstrations that an open exchange of information contributes to improved aviation safety. ASIAS is a comprehensive effort, covering the... -
Federal
Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework
National Aeronautics and Space Administration —
This paper explores how the remaining useful life (RUL) can be assessed for complex systems whose internal state variables are either inaccessible to sensors or hard... -
Federal
Theoretically Optimal Distributed Anomaly Detection
National Aeronautics and Space Administration —
A novel general framework for distributed anomaly detection with theoretical performance guarantees is proposed. Our algorithmic approach combines existing anomaly... -
Federal
Ensemble Approach to Building Mercer Kernels
National Aeronautics and Space Administration —
This paper presents a new methodology for automatic knowledge driven data mining based on the theory of Mercer Kernels, which are highly nonlinear symmetric positive... -
Federal
ASIAS Symposium Presentations
National Aeronautics and Space Administration —
Aviation Safety Information Analysis and Sharing (ASIAS) Symposiusm Presentations: July 27-28, 2009 -
Federal
A KNOWLEDGE DISCOVERY STRATEGY FOR RELATING SEA SURFACE TEMPERATURES TO FREQUENCIES OF TROPICAL STORMS AND GENERATING PREDICTIONS OF HURRICANES UNDER 21ST-CENTURY GLOBAL WARMING SCENARIOS
National Aeronautics and Space Administration —
A KNOWLEDGE DISCOVERY STRATEGY FOR RELATING SEA SURFACE TEMPERATURES TO FREQUENCIES OF TROPICAL STORMS AND GENERATING PREDICTIONS OF HURRICANES UNDER 21ST-CENTURY... -
Federal
SAR Image Enhancement using Particle Filters
National Aeronautics and Space Administration —
In this paper, we propose a novel approach to reduce the noise in Synthetic Aperture Radar (SAR) images using particle filters. Interpretation of SAR images is a... -
Federal
A Discussion on Uncertainty Representation and Interpretation in Model-based Prognostics Algorithms based on Kalman Filter Estimation Applied to Prognostics of Electronics Components
National Aeronautics and Space Administration —
This article presented a discussion on uncertainty representation and management for model-based prog- nostics methodologies based on the Bayesian tracking framework...