Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Aimee E. Holmes"'
Autor:
Ryan M. Meyer, Aimee E. Holmes, Romarie Morales, Iikka Virkkunen, Thiago Seuaciuc-Osorio, Bruce Lin
Publikováno v:
2021 48th Annual Review of Progress in Quantitative Nondestructive Evaluation.
This paper presents efforts to overcome challenges with empirical probability of detection (POD) estimations in the nuclear power industry through the utilization of a novel virtual flaw method. A virtual round robin (VRR) study was conducted under t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81121c426f706f4d6783546cf2e7d46c
https://doi.org/10.1115/qnde2021-75055
https://doi.org/10.1115/qnde2021-75055
Publikováno v:
AIP Conference Proceedings.
The U.S. Nuclear Regulatory Commission (NRC) in cooperation with the nuclear industry has developed a probabilistic fracture mechanics code called xLPR (extremely Low Probability of Rupture). xLPR is a modular-based probabilistic assessment tool for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dfe949f27ea69e794282a773d61f95b
https://doi.org/10.1063/1.5099823
https://doi.org/10.1063/1.5099823
Publikováno v:
Advances in Statistical Climatology, Meteorology and Oceanography, Vol 2, Iss 1, Pp 49-62 (2016)
Knowledge of cloud phase (liquid, ice, mixed, etc.) is necessary to describe the radiative impact of clouds and their lifetimes, but is a property that is difficult to simulate correctly in climate models. One step towards improving those simulations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d30c3433e16cecc3c06b0e37670f35a
https://www.adv-stat-clim-meteorol-oceanogr.net/2/49/2016/
https://www.adv-stat-clim-meteorol-oceanogr.net/2/49/2016/
Autor:
Landon H. Sego, Aimee E. Holmes, David S. Wunschel, Daniel Watkins, Courtney D. Corley, Mark F. Tardiff, Helen W. Kreuzer, Amanda M. White, Bobbie-Jo M. Webb-Robertson
Publikováno v:
2013 IEEE International Conference on Technologies for Homeland Security (HST).
Chemical and biological forensic programs rely on laboratory measurements to determine how a threat agent may have been produced. In addition to laboratory analyses, it may also be useful to identify institutions where the same threat agent has been
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7467d395b2584e1e7fc9776041995ae1
https://doi.org/10.1109/ths.2013.6699019
https://doi.org/10.1109/ths.2013.6699019
This report documents the statistical analyses performed (by Pacific Northwest National Laboratory for Washington River Protection Solutions) on data from 26 tests conducted using two scaled tanks (43 and 120 inches) in the Small Scale Mixing Demonst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a333fd9c6f356040e84e02d59648b41
https://doi.org/10.2172/1097939
https://doi.org/10.2172/1097939
Autor:
Landon H. Sego, Aimee E. Holmes, Luke J. Gosink, Bobbie-Jo M. Webb-Robertson, Helen W. Kreuzer, Richard M. Anderson, Alan J. Brothers, Courtney D. Corley, Mark R. Tardiff
Publikováno v:
ISI
We present a mathematical framework for assessing the quality of signature systems in terms of fidelity, risk, cost, other attributes, and utility-a method we call Signature Quality Metrics (SQM). We demonstrate the SQM approach by assessing the qual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::468d28673a8f36794f0482d55a395de6
https://doi.org/10.1109/isi.2013.6578856
https://doi.org/10.1109/isi.2013.6578856