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In adaptive signal processing, joint process estimation plays an important role in various estimation problems. It is well known that a joint process estimator consists of two...

RSW Wing Grid. Structured single-block grid with viscous tunnel wall. PLOT3D Format

Model-based prognostics exploits domain knowl- edge of the system, its components, and how they fail by casting the underlying physical phenom- ena in a physics-based model that...

World Wind allows any user to zoom from satellite altitude into any place on Earth, leveraging high resolution LandSat imagery and SRTM elevation data to experience Earth in...

These grids were constructed using Centaur software at DLR in Germany. The grids designed for node based (labeled 'cv') and cell-centered solvers (labeled 'cc') are supplied....

Link to Sharepoint website containing a repository of more detailed internal information for authorized users

Prognostics is an emerging concept in condition based maintenance (CBM) of critical systems. Along with developing the fundamentals of being able to confidently predict...

Prognostics is an emerging concept in condition basedmaintenance(CBM)ofcriticalsystems.Alongwith developing the fundamentals of being able to confidently predict Remaining...

A supervised learning task involves constructing a mapping from an input data space (normally described by several features) to an output space. A set of training...

Each agency is expected to post a JSON file for their Bureau IT Leadership Directory. Each dataset should include one record for each agency employee with the title of “chief...

This is the publically accessible website for AePW What will be posted here: Outline: Rectangular Supercritical Wing Benchmark Supercritical Wing HIRENASD A. Grids A....

Electrolytic capacitors are used in several applications rang- ing from power supplies on safety critical avionics equipment to power drivers for electro-mechanical actuators....

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...

In this paper we propose an innovative learning algorithm - a variation of One-class  Support Vector Machines (SVMs) learning algorithm to produce sparser solutions with much...

The analysis of spectral signals for features that represent physical phenomenon is ubiquitous in the science and engineering communities. There are two main approaches that can...

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 Francisco...

This paper introduces a novel Prognostics-enhanced Automated Contingency Management (or ACM+P) paradigm based on both current health state (diagnosis) and future health state...

Prior research into metrics and design for autonomy were presented. At this time, the prospect of adding significant autonomous decision-making on a piloted aircraft is viewed...

This data set is a simulated data set based on the flight simulator "FLTz" used by the Intelligent Flight Control (IFC) group at NASA ARC. Flights were preprogrammed to fly...