Listar por tema "Probability density function"
Mostrando ítems 1-20 de 21
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Bayesian damage characterization based on probabilistic model of scattering coefficients and hybrid wave finite element model scheme
(2019)Ultrasonic Guided Wave(GW) has been proven to be sensitive to small damage. Motivated by the fact that the quantitative relationship between wave scattering and damage intensity can be described by scattering properties, ... -
Bayesian inference for damage identification based on analytical probabilistic model of scattering coefficient estimators and ultrafast wave scattering simulation scheme
(2020)Ultrasonic Guided Waves (GW) actuated by piezoelectric transducers installed on structures have proven to be sensitive to small structural defects, with acquired scattering signatures being dependent on the damage type. ... -
Bayesian optimal sensor placement for crack identification in structures using strain measurements
(2018)A Bayesian framework is presented for finding the optimal locations of strain sensors in a plate with a crack with the goal of identifying the crack properties, such as crack location, size, and orientation. Sensor grids ... -
Cascaded Composite Turbulence and Misalignment: Statistical Characterization and Applications to Reconfigurable Intelligent Surface-Empowered Wireless Systems
(2022)Reconfigurable intelligent surfaces (RISs) empowered high-frequency wireless systems are expected to become the supporting pillar for several reliability and data rate hungry applications. Such systems are, however, sensitive ... -
A computational framework of kinematic accuracy reliability analysis for industrial robots
(2020)A new computational method to evaluate comprehensively the positional accuracy reliability for single coordinate, single point, multipoint and trajectory accuracy of industrial robots is proposed using the sparse grid ... -
Downlink mobile OFDMA resource allocation with minimum user rate requests
(2009)The problem of resource allocation (RA) in a downlink OFDMA system with minimum user rate requests is examined under the realistic scenario of partial (imperfect) channel state information (CSI) at the base station. The ... -
Energy-Momentum for a Charged Nonsingular Black Hole Solution with a Nonlinear Mass Function
(2017)The energy-momentum of a new four-dimensional, charged, spherically symmetric, and nonsingular black hole solution constructed in the context of general relativity coupled to a theory of nonlinear electrodynamics is ... -
Enhancing QoS Through Fluid Antenna Systems over Correlated Nakagami-m Fading Channels
(2022)Fluid antenna systems (FAS) enable mechanically flexible antennas that offer adaptability and flexibility for modern communication devices. In this work, we present a conceptual model for a single-antenna N-port (SANP) FAS ... -
Estimation of the prediction error correlation model in bayesian model updating
(2013)In Bayesian model updating, probability density functions of model parameters are updated accounting both for the information contained in the data and for uncertainties present in the measurements and model predictions, ... -
A fast Bayesian inference scheme for identification of local structural properties of layered composites based on wave and finite element-assisted metamodeling strategy and ultrasound measurements
(2020)Reliable verification and evaluation of the mechanical properties of a layered composite ensemble are critical for industrially relevant applications, however it still remains an open engineering challenge. In this study, ... -
Fatigue reliability predictions in vibrating structures under uncertainty
(2008)This work addresses the problem of predicting the reliability due to fatigue of MDOF structures subjected to uncertain random loading. Uncertainties in loading characteristics as well as in structural and degradation models ... -
A hierarchical Bayesian framework for force field selection in molecular dynamics simulations
(2016)We present a hierarchical Bayesian framework for the selection of force fields in molecular dynamics (MD) simulations. The framework associates the variability of the optimal parameters of the MD potentials under different ... -
Impact of a Randomly Placed Terminal on LiFi Performance
(2022)The ambitious goal of light-fidelity (LiFi) technology to provide seamless user mobility in indoor environments requires strong link connections to confront any stochasticity that possibly comes out. In this context, a ... -
Influence of the prediction error correlation model on Bayesian FE model updating results
(2012)Bayesian finite element (FE) model updating is a probabilistic method for uncertainty quantification in FE model updating, where the well-known Bayes' theorem is used to update probability density functions of model ... -
LaUV: A Physics-Based UV Light Simulator for Disinfection and Communication Applications
(2021)The sterilization properties of the C-band of the ultraviolet (UV) light have been well-known for many years; however, their application has become more vital and widespread today due to the Covid-19 pandemic. Nevertheless, ... -
Mixed THz/FSO Relaying Systems: Statistical Analysis and Performance Evaluation
(2022)In this paper, the performance of a mixed Terahertz/free-space optical (THz/FSO) wireless transmission system is studied, where the joint effects of channel fading and pointing errors are considered for both THz and FSO ... -
New results on turbulence modeling for free-space optical systems
(2010)In this paper, we propose a statistical channel model, named as Double-Weibull, to describe the irradiance fluctuations in moderate and strong turbulence for free-space optical (FSO) systems. The proposed stochastic model ... -
Optimal sensor placement for response predictions using local and global methods
(2020)A Bayesian framework for model-based optimal sensor placement for response predictions is presented. Our interest lies in determining the parameters of the model in order to make predictions about a particular response ... -
Statistics-based Bayesian modeling framework for uncertainty quantification and propagation
(2022)A new Bayesian modeling framework is proposed to account for the uncertainty in the model parameters arising from model and measurements errors, as well as experimental, operational, environmental and manufacturing ... -
Treatment of unidentifiability in structural model updating
(2000)The present study addresses the issues of non-uniqueness and unidentifiability arising in structural model updating. A Bayesian probabilistic frame-work is used for model updating which properly handles the uncertainties ...