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A Local Asynchronous Distributed Privacy Preserving Feature Selection...
In this paper we develop a local distributed privacy preserving algorithm for feature selection in a large peer-to-peer environment. Feature selection is often used in machine... -
Proactive Management of Aviation System Safety Risk
Aviation safety systems have undergone dramatic changes over the past fifty years. If you take a look at the early technology in this area, you'll see that there was a lot of... -
RSW Fully Tet Cell-Centered Fine Mesh
This is the RSW dataset for a fine fully tetrahedral grid designed for a cell-centered unstructured solver. UG3 : Grid File Name = rsw_fine_tetcc.b8.ugrid UG3 : Quad Surface... -
Flight Data For Tail 683
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 following: -sensor... -
Evaluating the Impact of Unrestricted Operation of Unmanned Aircraft Systems...
Unmanned aircraft systems (UAS) can be used for scientific, emergency management, and defense missions, among others. The existing federal air regulations, procedures, and... -
CDDIS_GNSS_products_orbit_ultrarapid
Precise satellite orbits derived from analysis of Global Navigation Satellite System (GNSS) data. Analysis Centers (ACs) of the International GNSS Service (IGS) retrieve GNSS... -
NEW RSW & Wall Medium Fully Tetrahedral Grid
New Medium Fully Tetrahedral RSW Grid with viscous wind tunnel wall at the root. This grid is for a node-based unstructured solver. Medium Tet: Quad Surface Faces= 0 Tria... -
A Bayesian Framework for Remaining Useful Life Estimation
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 decision... -
Integrated fatigue damage diagnosis and prognosis under uncertainties
An integrated fatigue damage diagnosis and prognosis framework is proposed in this paper. The proposed methodology integrates a Lamb wave-based damage detection technique and a... -
Ramakrishnan: Semantics on the Web
It is becoming increasingly clear that the next generation of web search and advertising will rely on a deeper understanding of user intent and task modeling, and a... -
2010_09_09 Lab
Ballscrew jam fault datasets (diagnostic and prognostic) -
The Case for Software Health Management
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... -
Flight Data For Tail 687
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 following: -sensor... -
Flight Data For Tail 673
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 following: -sensor... -
Distributed Prognostics System Implementation on Wireless Embedded Devices
Distributed prognostics is the next step in the evolution of prognostic methodologies. It is an important enabling technology for the emerging Condition Based... -
Long-term prediction of nonlinear time series
This paper is about applying recurrent least squares support vector machines (LS-SVM) on three ESTSP08 competition datasets. Least squares support vector machines are used as... -
Flight Data For Tail 667
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 following: -sensor... -
2010_09_03 Lab
Nominal, ballscrew jam fault, and spall fault scenarios (diagnostic and prognostic) -
Modeling of non-stationary autoregressive alpha-stable processe
In the literature, impulsive signals are mostly modeled by symmetric alpha-stable processes. To represent their temporal dependencies, usually autoregressive models with time-... -
Workshop Presentations: HIRENASD Analysts
These slides were presented at the AePW, April 21-22, 2012. They detail the analytical results generated by each of the participating analysis teams for the HIRENASD.