Πλοήγηση ανά Θέμα "Computationally efficient"
Αποτελέσματα 1-14 από 14
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Approximate Bayesian computation for granular and molecular dynamics simulations
(2016)The effective integration of models with data through Bayesian uncertainty quantification hinges on the formulation of a suitable likelihood function. In many cases such a likelihood may not be readily available or it may ... -
Bayesian Hierarchical Models for Uncertainty Quantification in Structural Dynamics
(2014)The Bayesian framework for hierarchical modeling is applied to quantify uncertainties, arising mainly due to manufacturing variability, for a group of identical structural components. Parameterized Gaussian models of ... -
Computationally efficient hierarchical Bayesian modeling framework for learning embedded model uncertainties
(2020)A hierarchical Bayesian modeling (HBM) framework has recently been developed for estimating the uncertainties in the parameters of physics-based models of systems, as well as propagating these uncertainties to estimate the ... -
Design and optimization of a Holweck pump via linear kinetic theory
(2012)The Holweck pump is widely used in the vacuum pumping industry. It can be a self standing apparatus or it can be part of a more advanced pumping system. It is composed by an inner rotating cylinder (rotor) and an outer ... -
Efficient Hotspot Thermal Simulation Via Low-Rank Model Order Reduction
(2018)Efficient full-chip thermal simulation is among the most challenging problems facing the EDA industry today, due to the need for solution of very large systems of equations that require unreasonably long computational ... -
Efficient IC hotspot thermal analysis via low-rank Model Order Reduction
(2019)Efficient full-chip thermal simulation is among the most challenging problems facing the EDA industry today, due to the need for solution of very large systems of equations that require unreasonably long computational ... -
Experiments in acoustic source localization using sparse arrays in adverse indoors environments
(2014)In this paper we experiment with 2-D source localization in smart homes under adverse conditions using sparse distributed microphone arrays. We propose some improvements to deal with problems due to high reverberation, ... -
A heuristic approach for overlay content-caching network design in 5G wireless networks
(2016)With a wide variety of mobile applications and social networks, there is a growing demand for anytime, anywhere access to high quality video and other multimedia content. Fifth generation wireless networks are aiming to ... -
Information-driven modeling of structures using a Bayesian framework
(2018)This work presents a comprehensive Bayesian framework for integrating information from data and models of civil infrastructure systems. In the proposed framework, modeling uncertainties are quantified and propagated through ... -
A Low Complexity Indoor Visible Light Positioning Method
(2021)The continuous positioning of a mobile user equipment (MU) in a prompt way is a fundamental requirement in several indoor applications related to ubiquitous computation, assisted living environments, and security/surveillance ... -
Multi-objective optimization algorithms for finite element model updating
(2008)A multi-objective optimization method is presented for estimating the parameters of finite element structural models based on modal residuals. The method results in multiple Pareto optimal structural models that are ... -
A parallel iterative approach for efficient full chip thermal analysis
(2018)Efficient full-chip thermal simulation is among the most challenging problems facing the EDA industry today, especially for modern 3D integrated circuits, due to the huge linear systems resulting from thermal modeling ... -
Performance evaluation of a production line operated under an echelon buffer policy
(2018)We consider a production line consisting of several machines in series separated by intermediate finite-capacity buffers. The line operates under an Echelon Buffer (EB) policy according to which each machine can store the ... -
THANOS: Eliminating Redundant States in Transient Thermal Analysis
(2019)Efficient thermal simulation has recently become a cutting edge research topic, as it requires the solution of very large equation systems. However, in most cases, temperature is not required to be computed at every point ...