Now showing items 1-12 of 12

  • Advances in stochastic models of manufacturing and service operations 

    Tan, B.; Gershwin, S. B.; Liberopoulos, G.; Meerkov, S. M.; Papadopoulos, C. T. (2015)
    The special issue on advances in stochastic models of manufacturing and service operations presents state-of-the art research results in the area of stochastic models for the analysis, design, coordination, and control of ...
  • Bayesian Hierarchical Models for Uncertainty Quantification in Structural Dynamics 

    Ballesteros, G. C.; Angelikopoulos, P.; Papadimitriou, C.; Koumoutsakos, P. (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 ...
  • Bayesian uncertainty quantification and propagation in molecular dynamics simulations 

    Angelikopoulos, P.; Papadimitriou, C.; Koumoutsakos, P. (2012)
    A comprehensive Bayesian probabilistic framework is developed for quantifying and calibrating the uncertainties in the parameters of the models (e.g. force-field potentials) involved in molecular dynamics (MD) simulations ...
  • Bayesian uncertainty quantification and propagation in nonlinear structural dynamics 

    Giagopoulos, D.; Papadioti, D. C.; Papadimitriou, C.; Natsiavas, S. (2013)
    A Bayesian uncertainty quantification and propagation (UQ&P) framework is presented for identifying nonlinear models of dynamic systems using vibration measurements of their components. The measurements are taken to be ...
  • Efficient techniques for bayesian inverse modeling of large-order computational models 

    Papadimitriou, C.; Angelikopoulos, P.; Koumoutsakos, P.; Papadioti, D. C. (2013)
    Bayesian tools for inverse modeling are based on asymptotic approximations and Stochastic Simulation Algorithms (SSA). Such tools require a number of moderate to large number of system re-analyses. For large-order numerical ...
  • Fast Bayesian structural damage localization and quantification using high fidelity FE models and CMS techniques 

    Papadioti, D. C.; Papadimitriou, C. (2012)
    Bayesian estimators are proposed for damage identification (localization and quantification) of civil infrastructure using vibration measurements. The actual damage occurring in the structure is predicted by Bayesian model ...
  • Joint quantizer optimization for scalable coding 

    Koziri, M.; Eleftheriadis, A. (2010)
    Scalability is an attractive solution to the problems posed by modern multimedia transmission systems. The key for better performance in scalable coding is joint rate distortion optimization. We present a new stochastic ...
  • New results on turbulence modeling for free-space optical systems 

    Chatzidiamantis, N. D.; Sandalidis, H. G.; Karagiannidis, G. K.; Kotsopoulos, S. A.; Matthaiou, M. (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 ...
  • Planning of dynamic mobile optical virtual network infrastructures supporting cloud services 

    Anastasopoulos, M. P.; Tzanakaki, A.; Rofoee, B.; Peng, S.; Zervas, G.; Simeonidou, D.; Landi, G.; Bernini, G.; Ciulli, N.; Riera, J. F.; Escalona, E.; Garcia-Espin, J. A.; Katsalis, K.; Korakis, T. (2014)
    This paper proposes a next generation ubiquitous converged infrastructure to support Cloud and mobile Cloud computing services. The proposed infrastructure facilitates interconnection of fixed and mobile end users with ...
  • Reliability sensitivity analysis of stochastic finite element models 

    Jensen, H. A.; Mayorga, F.; Papadimitriou, C. (2015)
    This contribution presents a scheme for integrating a model reduction technique into a simulation-based method for reliability sensitivity analysis of a class of medium/large nonlinear finite element models under stochastic ...
  • Uncertainty calibration of large-order models of bridges using ambient vibration measurements 

    Papadimitriou, C.; Argyris, C.; Papadioti, D. C.; Panetsos, P. (2014)
    A computational efficient Bayesian inference framework based on stochastic simulation algorithms is presented for calibrating the parameters of large-order linear finite element (FE) models of bridges. The effectiveness ...
  • What makes a web site 

    Kavassalis, P.; Lelis, S.; Rafea, M.; Haridi, S. (2004)
    Several factors which affect the popularity of the web sites are discussed. A computational model involving two superimposed interaction networks with random connections is developed which links the sites as well as organizes ...