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Federal
RSW Node Centered Coarse Grid w/ Split Walls Coarse/Med/Fine
National Aeronautics and Space Administration —
This contains the remaining 5 tarballs (5 grids and associated files) for the RSW node centered grids. Each tarball contains a stream-AFLR3 grid, CGNS grid, surface... -
Federal
A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks
National Aeronautics and Space Administration —
This paper describes a local and distributed expectation maximization algorithm for learning parameters of Gaussian mixture models (GMM) in large peer-to-peer (P2P)... -
Federal
A Local Scalable Distributed EM Algorithm for Large P2P Networks
National Aeronautics and Space Administration —
his paper describes a local and distributed expectation maximization algorithm for learning parameters of Gaussian mixture models (GMM) in large peer-to-peer (P2P)... -
Federal
Stable and Efficient Gaussian Process Calculations
National Aeronautics and Space Administration —
The use of Gaussian processes can be an effective approach to prediction in a supervised learning environment. For large data sets, the standard Gaussian process... -
Federal
Determining the Value of Information for Minimizing Controller Taskload: A Graph-Based Approach
National Aeronautics and Space Administration —
not available -
Federal
Integrated Fault Diagnostics of Networks and IT Systems
National Aeronautics and Space Administration —
The lecture of the Stanford-IVHM lecture series will give an overview of the... -
Federal
Flight Data For Tail 662
National Aeronautics and Space Administration —
The following zip files contain individual flight recorded data in Matlab file format. There are 186 parameters each with a data structure that contains the... -
Federal
Model Adaptation for Prognostics in a Particle Filtering Framework
National Aeronautics and Space Administration —
One of the key motivating factors for using particle filters for prognostics is the ability to include model parameters as part of the state vector to be estimated.... -
Federal
Effect of Electrostatic Discharge on Electrical Characteristics of Discrete Electronic Components
National Aeronautics and Space Administration —
This article reports on preliminary results of a study conducted to examine how temporary electrical overstress seed fault conditions in discrete power electronic... -
Federal
Developing Large-Scale Bayesian Networks by Composition
National Aeronautics and Space Administration —
In this paper, we investigate the use of Bayesian networks to construct large-scale diagnostic systems. In particular, we consider the development of large-scale... -
Federal
HIRENASD Modeshapes Nov 2011 model
National Aeronautics and Space Administration —
This documents the modal results for the final HIRENASD Finite element models TET model with instrumentation, modelcart, balance and OML modified. Post your comments... -
Federal
Distributed Decision-Tree Induction in Peer-to-Peer Systems
National Aeronautics and Space Administration —
This paper offers a scalable and robust distributed algorithm for decision-tree induction in large peer-to-peer (P2P) environments. Computing a decision tree in such... -
Federal
RSW Fully Tet Fine Mesh
National Aeronautics and Space Administration —
This dataset is the fully tetrahdral fine mesh for the RSW configuration. -
Federal
Workshop on IVHM and Aviation Safety: Invited Speakers
National Aeronautics and Space Administration —
Confirmed Speakers from the United States Ashok N. Srivastava, NASA Ames Research Center Robert Mah, NASA Ames Research Center Gary Hunter, NASA Glenn Research Center... -
Federal
2010_09_09 Lab
National Aeronautics and Space Administration —
Ballscrew jam fault datasets (diagnostic and prognostic) -
Federal
Second International Diagnostic Competition - DXC'10
National Aeronautics and Space Administration —
A framework to compare and evaluate diagnosis algorithms (DAs) has been created jointly by NASA Ames Research Center, Palo Alto Research Center, and Delft University...