Results 31 to 40 of about 43,829 (264)
Capture, Propagate, and Control Distributional Uncertainty
2023 62nd IEEE Conference on Decision and Control (CDC), 2023 We study stochastic dynamical systems in settings where only partial statistical information about the noise is available, e.g., in the form of a limited number of noise realizations. Such systems are particularly challenging to analyze and control, primarily due to an absence of a distributional uncertainty model which: (1) is expressive enough to ...
Liviu Aolaritei +2 more
openaire +2 more sources
Configuration Stability Analysis for Geocentric Space Gravitational-Wave Observatories
Aerospace, 2022 Long-term configuration stability is essential for a space-based gravitational-wave observatory, which can be affected by orbit insertion errors. This paper investigated the stability of a geocentric gravitational-wave observatory from the view of the ...
Xingyu Zhou, Feida Jia, Xiangyu Li
doaj +1 more source
Bank liquidity and the propagation of uncertainty in the U.S.
Finance Research Letters, 2022 Does the banking sector matter for the propagation of uncertainty? We apply local projections to study the dynamic response of U.S. real GDP to exogenous changes in uncertainty conditional on the liquidity of the banking sector. We find that uncertainty has a stronger impact when the banking sector is less liquid.
Max Breitenlechner +2 more
openaire +1 more source
Química Nova, 2011 Asphaltenes are fractions of crude oils that can precipitate and one of the parameters used in the prediction of the conditions in which this phenomenon occurs is the Hildebrand solubility parameter.
Lyzette Gonçalves Moraes de Moura +4 more
doaj +1 more source
International Biomechanics, 2022 Joint kinematics are typically described using Cardan angles or the attitude vector and its projection on the joint axes. Whichever the notation used, the uncertainties present in gait measurements affect the computed kinematics, especially for the knee ...
Mickael Fonseca +2 more
doaj +1 more source
Error Estimation for the Linearized Auto-Localization Algorithm
Sensors, 2012 The Linearized Auto-Localization (LAL) algorithm estimates the position of beacon nodes in Local Positioning Systems (LPSs), using only the distance measurements to a mobile node whose position is also unknown.
Fernando Seco +3 more
doaj +1 more source
International Journal of Thermofluids, 2023 Engine design heavily relies on numerical simulation of engine environments, which greatly accelerates the design iteration and increases efficiency. Nonetheless, for a long time, the uncertainty associated with numerical modeling has been overlooked due
Linying Li +4 more
doaj +1 more source
Uncertainty propagation in nuclear forensics
Applied Radiation and Isotopes, 2014 Uncertainty propagation formulae are presented for age dating in support of nuclear forensics. The age of radioactive material in this context refers to the time elapsed since a particular radionuclide was chemically separated from its decay product(s).
Pommé, S. +2 more
openaire +2 more sources
Atmosphere, 2020 In distributed land surface modeling (LSM) studies, uncertainty in the rainfields that are used to force models is a major source of error in predicted land surface response variables.
Bernard Cappelaere +11 more
doaj +1 more source
Determination of the Variance of Complex Calculated Clinical Chemistry Tests; Application in Calculated Low Density Lipoprotein and Atherogenic Index of Plasma [PDF]
Journal of Clinical and Diagnostic Research, 2020 Introduction: Measurement uncertainty is the random error component of the measurement and is an interval around the measured value, into which the true value lies with some probability.
Christina Tsigalou +4 more
doaj +1 more source