Titlebook: Uncertainty Modeling for Engineering Applications; Flavio Canavero Book 2019 Springer Nature Switzerland AG 2019 Uncertainty Quantificatio

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Data-Efficient Sensitivity Analysis with Surrogate Modeling,to reduce costs and improve efficiency. However, the computational demands of these simulators are also growing as their accuracy and complexity keeps increasing. Surrogate modeling is a powerful framework for data-efficient analysis of these simulators. A common use-case in engineering is sensitivi

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Application of Polynomial Chaos Expansions for Uncertainty Estimation in Angle-of-Arrival Based Loc standards methods of positioning, such as Global Navigation Satellite System or Time-of-Arrival methods, are not applicable. Therefore, Angle-of-Arrival (AoA) based localization is considered, using a densely deployed set of anchors equipped with arrays of antennas able to measure the Angle-of-Arri

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Reducing the Statistical Complexity of EMC Testing: Improvements for Radiated Experiments Using Sto) issues. Indeed, the evaluation of margins and risks are inherent to EMC/EMI: many standards and/or guidelines require the accurate prediction of mean, standard deviation and/or extreme quantities of interest (voltages, currents, E-/H-fields, S-parameters, impedances …). It is well known that EMC/E

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Measurement Uncertainty Cannot Always Be Calculated,ways possible to calculate measurement uncertainty? In order to answer this question the conditions that should be met in order to calculate measurement uncertainty are briefly reviewed. Further, it is here provided an example related to a worldwide known and applied electromagnetic compatibility te

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Book 2019 research, future challenges and applications in various domains, such as aerospace and mechanical applications, structure health and seismic hazard, electromagnetic energy (its impact on systems and humans) and global environmental state change. Written by leading international experts from differe

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