Results 61 to 70 of about 987 (227)

STOCHASTIC FINITE ELEMENT MODEL UPDATING BASED ON POLYNOMIAL CHAOTIC EXPANSION AND KL DIVERGENCE

Jixie qiangdu, 2021
Considering the influence of structural parameter uncertainty on response and the problem of large calculation of stochastic model updating, a stochastic finite element model updating method based on polynomial chaotic expansion and KL divergence is ...
XU ZeWei, PENG ZhenRui, ZHANG YaFeng, BAI Yu   +3 more
doaj  

Assessing the impact of model biases on subseasonal forecast skill

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Relaxation experiments where the nudging was performed towards bias‐corrected integrations of the same model display significantly improved skill at weeks 3 and 4, particularly in the northern extratropics. This indicates that there is a large potential for improving dynamical subseasonal forecasting skill by improved treatment of model biases.
Frédéric Vitart, Magdalena Balmaseda
wiley   +1 more source

The Influence of Random Element Displacement on DOA Estimates Obtained with (Khatri–Rao-)Root-MUSIC

Sensors, 2014
Although a wide range of direction of arrival (DOA) estimation algorithms has been described for a diverse range of array configurations, no specific stochastic analysis framework has been established to assess the probability density function of the ...
Veronique Inghelbrecht, Jo Verhaevert, Tanja van Hecke, Hendrik Rogier   +3 more
doaj   +1 more source

All‐sky assimilation impacts of the Tomorrow.io microwave sounder constellation on global weather forecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Key Findings: An assimilation methodology is established for the Tomorrow.io microwave sounder (TMS) flying on CubeSats in sun‐synchronous and inclined orbits, and in all cloud scenes. The TMS has a significant impact on weather forecast lead times up to 3 days in the Tropics in a research‐quality numerical weather prediction setting, and yields water ...
Jonathan J. Guerrette, Ryan Honeyager, Stephen Joseph Munchak, Xiaoxu Tian   +3 more
wiley   +1 more source

Control of Accuracy on Taylor-Collocation Method for Load Leveling Problem

Известия Иркутского государственного университета: Серия "Математика", 2019
High penetration of renewable energy sources coupled with decentralization of transport and heating loads in future power systems will result even more complex unit commitment problem solution using energy storage system scheduling for efficient load ...
S. Noeiaghdam, D.N. Sidorov, I.R. Muftahov, A.V. Zhukov   +3 more
doaj   +1 more source

Estimating the Effective Permittivity for Reconstructing Accurate Microwave-Radar Images. [PDF]

PLoS ONE, 2016
We present preliminary results from a method for estimating the optimal effective permittivity for reconstructing microwave-radar images. Using knowledge of how microwave-radar images are formed, we identify characteristics that are typical of good ...
Benjamin R Lavoie, Michal Okoniewski, Elise C Fear   +2 more
doaj   +1 more source

An $hp$-adaptive multi-element stochastic collocation method for surrogate modeling with information re-use [PDF]

, 2022
Armin Galetzka, Dimitrios Loukrezis, Niklas Georg, Herbert De Gersem, Ulrich Römer   +4 more
openalex   +1 more source

A Posteriori Error Estimation for the Stochastic Collocation Finite Element Method [PDF]

SIAM Journal on Numerical Analysis, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Guignard, Diane, Nobile, Fabio
openaire   +1 more source

Model‐Based Systems Engineering in Space Applications: A Comprehensive Literature Review

Systems Engineering, EarlyView.
ABSTRACT The growing complexity of space engineering is driving the demand to embrace the adoption of Model‐Based Systems Engineering (MBSE). Although the MBSE is well‐practiced in the space industry, the level of effort and need required to obtain the benefits of MBSE vastly differ across enterprises; this disparity presents a significant challenge to
Rehobot Bekele Buruso, Sara Himmiche, Taiwo Tejumola, Yeshirun Alemayehu, Bertrand Rose   +4 more
wiley   +1 more source

Walsh function-based numerical approach for nonlinear stochastic integral equations: Application to stochastic logistic models

Boundary Value Problems
The current research study proposes an efficient numerical method for obtaining an approximate solution to nonlinear stochastic integral equations implementing the collocation method and the Walsh operational matrices.
Prit Pritam Paikaray, Sanghamitra Beuria, Nigam Chandra Parida, Mohammad Izadi   +3 more
doaj   +1 more source