Nuclear data uncertainty propagation on a sodium fast reactor
Sign Up to like & getrecommendations! Published in 2017 at "Nuclear Engineering and Design"
DOI: 10.1016/j.nucengdes.2017.08.018
Abstract: Abstract Uncertainties on criticality parameters and reactivity effects in a SFR (Sodium Fast Reactor) were calculated and characterized. An SFR model loaded with ≈ 10 % MAs (Minor Actinides) was chosen as test case of… read more here.
Keywords: data uncertainty; uncertainty; sodium fast; fast reactor ... See more keywords
Combining Total Monte Carlo and Unified Monte Carlo : Bayesian nuclear data uncertainty quantification from auto-generated experimental covariances
Sign Up to like & getrecommendations! Published in 2017 at "Progress in Nuclear Energy"
DOI: 10.1016/j.pnucene.2016.11.006
Abstract: The Total Monte Carlo methodology (TMC) for nuclear data (ND) uncertainty propagation has been subject to some critique because the nuclear reaction parameters are sampled from distributions which ... read more here.
Keywords: data uncertainty; monte carlo; carlo; total monte ... See more keywords
Nuclear data uncertainty propagation to the main physical parameters of NUR research reactor
Sign Up to like & getrecommendations! Published in 2020 at "Progress in Nuclear Energy"
DOI: 10.1016/j.pnucene.2020.103557
Abstract: Abstract An accurate nuclear reactor model with less statistical uncertainty is not enough to have an accurate assessment of the calculated physical parameter value. It is worthwhile to note that another source of uncertainties originating… read more here.
Keywords: data uncertainty; uncertainty; code; group ... See more keywords
Effect of data uncertainty and inversion non-uniqueness of surface wave tests on VS,30 estimation
Sign Up to like & getrecommendations! Published in 2018 at "Soil Dynamics and Earthquake Engineering"
DOI: 10.1016/j.soildyn.2018.02.030
Abstract: Abstract The effect of data measurement uncertainty and inversion uncertainty on VS,30 estimation is studied in this article. An attempt has also been made to separate out the inversion and data measurement uncertainties, and their… read more here.
Keywords: data uncertainty; inversion; effect data; uncertainty ... See more keywords
Sonifying data uncertainty with sound dimensions
Sign Up to like & getrecommendations! Published in 2019 at "Cartography and Geographic Information Science"
DOI: 10.1080/15230406.2018.1495103
Abstract: ABSTRACT The communication of data uncertainty is a crucial problem in data science, information visualization, and geographic information science (GIScience). Effective ways to communicate the uncertainty of data enables data consumers to interpret the data… read more here.
Keywords: communicate uncertainty; information; data uncertainty; uncertainty ... See more keywords
Evaluation of the Impact of Data Uncertainty on the Prediction of Physiological Patient Deterioration
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2853701
Abstract: In this paper, we investigate the impact of data uncertainty on the prediction of a vital sign of abnormalities. We analyze the evolution of mean arterial blood pressure (MAP) and heart rate (HR) vital signs… read more here.
Keywords: data uncertainty; uncertainty; impact data; uncertainty prediction ... See more keywords
Multivariate Time-Series Prediction in Industrial Processes via a Deep Hybrid Network Under Data Uncertainty
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3198670
Abstract: With the rapid progress of the industrial Internet of Things (IIoT), reducing data uncertainty has become a critical issue in predicting the development trends of systems and formulating future maintenance strategies. This article proposes an… read more here.
Keywords: network; time; data uncertainty; time series ... See more keywords