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Search Publications by: Antonio Possolo (Fed)

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Displaying 51 - 75 of 115

Additive Manufacturing Round Robin Protocols: A Pilot Study

August 12, 2015
Author(s)
Shawn P. Moylan, Joshua Land, Antonio M. Possolo
As the number of users of additive manufacturing (AM) steadily increases, and considering their demand for material and process specifications, the need for standard protocols for round robin studies is increasing accordingly. Researchers at the National

A Data-Driven Predictor of the Discharge Coefficient of Orifice Plates

April 1, 2015
Author(s)
James R. Whetstone, Antonio M. Possolo
We have developed a new functional relationship to predict the value of the discharge coefficient of an orifice plate used to measure volumetric flow rate in cylindrical pipes, as a function of the beta ratio of the orifice and pipe combination, and of the

Energy Harvesting from the Human Leg Motion

July 23, 2014
Author(s)
Kamran Sayrafian, Antonio M. Possolo, Nathalie Yarkony
Kinetic energy harvested from the human body motion seems to be one of the most attractive and convenient solution for wearable wireless sensors in healthcare applications. Due to their small size, such sensors typically have a very limited battery-powered

Statistical Models and Computation to Evaluate Measurement Uncertainty

July 11, 2014
Author(s)
Antonio M. Possolo
In the course of the twenty years since the publication of the GUM, the recognition has been steadily growing, of the value that statistical models and statistical computing bring to the evaluation of measurement uncertainty, and of how they enable its

Evaluating the Uncertainty of Input Quantities in Measurement Models

May 28, 2014
Author(s)
Antonio M. Possolo
The Guide to the Expression of Uncertainty in Measurement gives guidance about how values and uncertainties should be assigned to the input quantities that appear in measurement models. This contribution offers a concrete proposal for how that guidance may

R Implementation of a Polyhedral Approximation to a 3D Set of Points Using the Alpha-Shape

January 1, 2014
Author(s)
Thomas V. Lafarge, Beatriz Pateiro Lopez, Antonio M. Possolo, Joy P. Dunkers
This work describes the implementation in R of the alpha-shape of a finite set of points in three-dimensional space. This geometric construct generalizes the convex hull and estimates the shape of non-convex and even non-connected sets in 3D, given random

Statistical Methods for Change-Point Detection in Surface Temperature Records

September 12, 2013
Author(s)
Adam L. Pintar, Antonio M. Possolo, Nien F. Zhang
We describe several statistical methods to detect possible change-points in a time series of values of surface temperature measured at a meteorological station, and to assess the statistical significance of such changes, taking into account the natural

Uncertainty Machine --- User's Manual

July 10, 2013
Author(s)
Antonio M. Possolo, Thomas V. Lafarge
NIST's Uncertainty Machine is a software application to evaluate the measurement uncertainty associated with an output quantity defined by a measurement model of the form y = f(x[1],...,x[n]), where the real-valued function f is specified fully and