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Search Publications by: Antonio Possolo (Fed)

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Displaying 26 - 50 of 61

Development of a Northern Continental Air Standard Reference Material

February 18, 2016
Author(s)
George C. Rhoderick, Duane Kitzis, Michael E. Kelley, Walter R. Miller Jr., Bradley Hall, Edward Dlugokencky, Pieter Tans, Antonio M. Possolo, Jennifer Carney
The National Institute of Standards and Technology (NIST) recently began to develop standard mixtures of greenhouse gases as part of a broad program mandated by the 2009 United States Congress to support research in climate change. To this end, NIST made

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

Five Examples of Assessment and Expression of Measurement Uncertainty

February 12, 2013
Author(s)
Antonio M. Possolo
It is a long accepted tenet of scientific practice that every measurement result ought to include a statement of uncertainty associated with the measured value, and that such uncertainty should be propagated to derivative products. It is also widely

Meteorological extremes

December 28, 2012
Author(s)
Franklin T. Lombardo, Adam L. Pintar, Antonio Possolo, Emil Simiu, DongHun Yeo
This entry reviews basic principles of the statistical analysis of large extreme values (EVs), the role of simulations for the development of relevant meteorological data sets, the interaction between the extreme value modeling process and its application

Three-dimensional Shape Metrology for Tissue Engineering

April 21, 2012
Author(s)
Joy P. Dunkers, Antonio M. Possolo, Thomas V. Lafarge, Beatriz Pateiro-Lopez, Jeffrey Coles, Carl G. Simon Jr.
The physical and chemical properties of a tissue scaffold influences cell response and therefore the success of the resulting tissue construct. Scaffold structure from nanometers to millimeters can direct cell behavior, from viability to proliferation to

Model-Based Interpolation, Prediction, and Approximation

January 1, 2012
Author(s)
Antonio M. Possolo
Model-based interpolation, prediction, and approximation are contingent on the choice of model: since multiple alternative models typically can reasonably be entertained for each of these tasks, and the results are correspondingly varied, this often is a

Social and Physical Aspects of Seismic Risk

December 31, 2011
Author(s)
Carmen D. Gon?alves, Antonio Possolo
Seismic risk has social and physical aspects: although very different in nature, they are intertwined and share striking similarities. Seismic risk assessment involves models and data, and judgments of the potential impact of earthquakes, which must be

Examination of United States Carbon Dioxide Emission Databases

June 10, 2011
Author(s)
Robert P. Borthwick, James Whetstone, Jiann C. Yang, Antonio Possolo
This paper compared carbon dioxide emissions from plants obtained in two ways, first from the US Department of Energy, Energy Information Administration EIA-767 database and EIA-1605 Greenhouse Gas Reporting Program guidelines and second from the U.S. Envi

Nodal Analysis Estimates of Fluid Flow from the BP Macondo MC252 Well

March 10, 2011
Author(s)
George Guthrie, Rajesh Pawar, Curt Oldenburg, Todd Weisgraber, Grant Bromhal, Phil Gauglitz, John Bernardin, David Dixon, Rick Kapernick, Bruce Letellier, Brett Okhuysen, Robert Reid, Barry M. Freifeld, Karsten Pruess, Lehua Pan, Stefan Finsterle, George J. Moridis, Matthew T. Reagan, Thomas A. Buscheck, Christopher M. Spadaccini, Roger D. Aines, Brian Anderson, Robert Enick, Roy Long, Shahab Mohaghegh, Bryan Morreale, Neal Sams, Doug Wyatt, L A. Mahoney, J A. Bamberger, J Blanchard, J Bontha, C W. Enderlin, J A. Fort, P A. Meyer, Y Onishi, D M. Pfund, D R. Rector, M L. Stewart, B E. Wells, S T. Yokuda, Antonio Possolo, William F. Guthrie, Pedro I. Espina
The Nodal-Analysis Team within the Flow Rate Technical Group predicted the flow-related pressure drops from the reservoir to release points to estimate flow rates for various time periods for the Macondo well. These estimates were based on predictions from
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