Parcourir par sujet "Monte Carlo methods"
Voici les éléments 1-20 de 50
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Assessment of heavy metal(loid)s contamination risk and grain nutritional quality in organic waste-amended soil
(2020)Studies that evaluate the human health risk of heavy metal(loid)s pollution have not been widely performed for organic waste-amended soils on the Loess Plateau of China. With this respect, we conducted a 3-year field trial ... -
Bayesian annealed sequential importance sampling: An unbiased version of transitional Markov chain Monte Carlo
(2018)The transitional Markov chain Monte Carlo (TMCMC) is one of the efficient algorithms for performing Markov chain Monte Carlo (MCMC) in the context of Bayesian uncertainty quantification in parallel computing architectures. ... -
Bayesian methodology for structural damage identification and reliability assessment
(2009)A Bayesian framework is presented for structural model selection and damage identification utilizing measured vibration data. The framework consists of a two-level approach. At the first level the problem of estimating the ... -
Bayesian uncertainty quantification and propagation in molecular dynamics simulations: A high performance computing framework
(2012)We present a Bayesian probabilistic framework for quantifying and propagating the uncertainties in the parameters of force fields employed in molecular dynamics (MD) simulations. We propose a highly parallel implementation ... -
Block error rate performance of OOK freespace optical links over gamma-gamma turbulence channels with generalised nonzero boresight pointing errors
(2018)The authors consider a point-to-point optical wireless communication link with on-off keying (OOK) modulation scheme. The propagation is deteriorated by the joint effects of gamma-gamma atmospheric turbulence and misalignment ... -
Cognitive d2d finite blocklength transmissions with the presence of time-selective interference
(2021)In this paper, we study an underlay device-to-device (D2D) communication system where the secondary D2D transmitter (DTx) communicates with D2D receiver (DRx) under ultra-reliable low-latency communication (URLLC) constraints. ... -
Comparison of safety indexes for chemical processes under uncertainty
(2021)The fatal consequences of industrial incidents have made evident the need for suitable tools to develop inherently safer process design options. Traditionally, in a process design project, the evaluation of safety aspects ... -
Damage detection in flexible plates through reduced-order modeling and hybrid particle-Kalman filtering
(2016)Health monitoring of lightweight structures, like thin flexible plates, is of interest in several engineering fields. In this paper, a recursive Bayesian procedure is proposed to monitor the health of such structures through ... -
Effect of vibrational degrees of freedom on the heat transfer in polyatomic gases confined between parallel plates
(2016)Conductive stationary heat transfer through rarefied nonpolar polyatomic gases, confined between parallel plates maintained at different temperatures, is investigated. It is assumed that gas molecules possess both rotational ... -
Enhancing design space exploration by extending CPU/GPU specifications onto FPGAs
(2015)The design cycle for complex special-purpose computing systems is extremely costly and time-consuming. It involves a multiparametric design space exploration for optimization, followed by design verification. Designers of ... -
EVT-based worst case delay estimation under process variation
(2018)Manufacturing process variation in sub-20nm processes has introduced ever increasing overhead in Static Timing Analysis (STA) in order to guarantee the reliable operation of the circuit. Chip designers apply corner-based ... -
Exploiting cross-layer packet overhearing for opportunistic distributed STC in wireless relay networks
(2013)In this paper we propose a distributed Alamoutibased space-time code (STC) where opportunistic listening of packets from independent sources is exploited. Relays overhear broadcasted packets from multiple sources and ... -
Feedback-Based SSK Modulation: Constellation Design and Performance Results
(2020)In this article, we propose a limited feedback-based space-shift keying (SSK) modulation scheme where transmitter (Tx) obtains partial channel state information (CSI) via a feedback link from receiver (Rx). More specifically, ... -
Framework for Design under Uncertainty Including Inherent Safety, Environmental Assessment, and Economic Performance of Chemical Processes
(2019)Typically, analysis and design of chemical processes is carried out considering average values of inherently uncertain data that pertain to key design and process variables that shape its performance. In this work, a ... -
FSO links with spatial diversity over strong atmospheric turbulence channels
(2008)Free-space optical (FSO) communication has received much attention in recent years as a cost-effective, license-free and wide-bandwidth access technique for high data rates applications. The performance of FSO communication, ... -
Fusing heterogeneous data for the calibration of molecular dynamics force fields using hierarchical Bayesian models
(2016)We propose a hierarchical Bayesian framework to systematically integrate heterogeneous data for the calibration of force fields in Molecular Dynamics (MD) simulations. Our approach enables the fusion of diverse experimental ... -
Gas mixing and final mixture composition control in simple geometry micro-mixers via DSMC analysis
(2019)The mixing process of two pressure driven steady-state rarefied gas streams flowing between two parallel plates was investigated via DSMC (Direct Simulation Monte Carlo) for different combinations of gases. The distance ... -
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 ... -
Hierarchical Bayesian operational modal analysis: Theory and computations
(2020)This paper presents a hierarchical Bayesian modeling framework for the uncertainty quantification in modal identification of linear dynamical systems using multiple vibration data sets. This novel framework integrates the ... -
Implementation of an adaptive meta-model for Bayesian finite element model updating in time domain
(2017)This work explores the feasibility of integrating an adaptive meta-model into a finite element model updating formulation using dynamic response data. A Bayesian model updating approach based on a stochastic simulation ...