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Displaying 1576 - 1600 of 7107

CT head-scan dosimetry in an anthropomorphic phantom and associated measurement of ACR accreditation-phantom imaging metrics under clinically representative scan conditions

July 24, 2013
Author(s)
Ronaldo Minniti, Claudia Brunner, Stanley H. Stern, Marie I. Parry, Kish Chakrabarti
The purpose of this work was to measure radiation absorbed dose and its distribution in an anthropomorphic head phantom under clinically representative scan conditions in three widely-used computed tomography (CT) scanners, and to relate those dose values

Interface History on Strain Field Evolution in Epoxy Resins

January 21, 2022
Author(s)
Edward Garboczi, Newell Moser, Jena McCollum, Jared Strutton, Abby Jennings, Brandon Runnels
To determine the viability of digital image correlation in the analysis of additively manufactured thermosets, we devised a testing method to examine the effect of interface history (i.e., time between interface formation and original material deposition)

Using S-Check ML Version 3.0

February 1, 1998
Author(s)
Robert D. Snelick, N V. Drouin, John K. Antonishek, Michael D. Indovina, M M. Courson
S-Check is a tool for detecting performance bottlenecks in programs on computer systems with multiple processors. S-Check automates the techniques of Synthetic Perturbation Screening. Synthetic Perturbation Screening systematically perturbs selected

Simulation of the Hydration Kinetics and Elastic Moduli of Cement Mortars by Microstructural Modeling

September 15, 2014
Author(s)
Luca Valentini, Matteo Parisatto, Vincenzo Russo, Giorgio Ferrari, Jeffrey W. Bullard, Ross J. Angel, Maria C. Dalconi, Gilberto Artioli
The ability of the VCCTL microstructural model to predict the hydration kinetics and elastic moduli of cement materials was tested by coupling a series of computer simulations and laboratory experiments, using different cements. The novel aspects of this

On Deep Reinforcement Learning Security for Industrial Internet of Things

February 15, 2021
Author(s)
Xing Liu, Wei Yu, Fan Liang, David W. Griffith, Nada T. Golmie
Industrial Internet of Things (IIoT), also known as Industry 4.0, empowers manufacturing and production processes by leveraging automation and Internet of Things (IoT) technologies. In IIoT, the information communication technologies enabled by IoT could

Monte Carlo Sampling Bias in the Microwave Uncertainty Framework

June 27, 2019
Author(s)
Michael R. Frey, Benjamin Jamroz, Amanda Koepke, Jake Rezac, Dylan Williams
The Microwave Uncertainty Framework (MUF) is a software suite created, supported, and made publicly available by the Radio Frequency Division of the U.S. National Institute of Standards and Technology. The general purpose of the MUF is to provide automated

Categorical Models for Process Planning

November 19, 2018
Author(s)
Spencer J. Breiner, Eswaran Subrahmanian, Albert W. Jones
Process plans provide a structure for 1) identifying the tasks involved in a given process, 2) the resources needed to accomplish them, and 3) a variety of relationships and constraints between these. This information guides important operational decisions

A Survey on Knowledge Transfer for Manufacturing Data Analytics

November 5, 2018
Author(s)
Seung Hwan Bang, Ronay Ak, Anantha Narayanan Narayanan, Yung-Tsun T. Lee, Hyunbo Cho
Data analytics techniques have been used for numerous manufacturing applications in various areas. A common assumption of data analytics models is that the environment that generates data is stationary, that is, the feature (or label) space or distribution
Displaying 1576 - 1600 of 7107
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