Πλοήγηση ανά Θέμα "Statistics"
Αποτελέσματα 1-20 από 22
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Aerodynamic shape optimization for minimum robust drag and lift reliability constraint
(2016)A methodology for shape optimization of aerodynamic bodies under uncertainties is presented. Flow-related and geometrical uncertainties are considered and quantified by probability distribution functions. The optimal shape ... -
A bayesian framework for optimal experimental design in structural dynamics
(2016)A Bayesian framework for optimal experimental design in structural dynamics is presented. The optimal design is based on an expected utility function that measures the value of the information arising from alternative ... -
Bayesian optimal experimental design for parameter estimation and response predictions in complex dynamical systems
(2017)A Bayesian optimal experimental design (OED) framework is revisited and applied to a number of structural dynamics problems. The objective is to optimize the design of the experiment such that the most informative data are ... -
Bayesian optimal experimental design using asymptotic approximations
(2017)Bayesian optimal experimental design (OED) tools for model parameter estimation and response predictions in structural dynamics include sampling (Huan and Marzouk, J. Comput. Phys., 232:288–317, 2013) and asymptotic ... -
Development of a novel model for co-modal emission calculation and inventory methodology
(2019)This paper presents a novel model for co-modal emission calculation and inventory methodology combining the various modes of public transport. A number of available emission calculation models have been reviewed and the ... -
A distributed data allocation scheme for autonomous nodes
(2018)The limited computational and storage capabilities of the devices interconnected in Internet of Things (IoT) make them to host only a sub-set of the the collected data. Every device, i.e., an IoT node, should keep only the ... -
Distributed skip air index for smart broadcasting in intelligent transportation systems
(2012)Wireless data broadcast received a lot of attention from industries and academia in recent years. In any form of a push-based broadcast, access latency and tuning time are vital issues, and in order to address the tradeoff ... -
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, ... -
An information theoretic framework for optimal experimental design
(2017)An information theoretic framework for optimal experimental design is presented. The objective function is rooted in information theory, and is the expected Kullback-Leibler divergence between the prior and posterior pdf ... -
Inter-comparison of statistical downscaling methods for projection of extreme flow indices across Europe
(2016)The effect of methods of statistical downscaling of daily precipitation on changes in extreme flow indices under a plausible future climate change scenario was investigated in 11 catchments selected from 9 countries in ... -
Limiting the impact of statistics as a proverbial source of falsehood
(2019)This paper presents an early version of a decision-making “eco” system. We refer to it as an “eco” system because it is primarily based on mathematical logic and combines concepts and principles from the fields of statistics, ... -
Optimal experimental design for structural health monitoring applications
(2008)Successful structural health monitoring and condition assessment depends to a large extent on the sensor and actuator networks place on the structure as well as the excitation characteristics. An optimal experimental design ... -
Optimal Experimental Design Methodology for Parameter Estimation of Nonlinear Models
(2021)Experimental data are used to improve structural models and model-based predictions of output quantities of interest (QoI), that are crucial in making decisions regarding structural health, safety and performance. The ... -
Predicting the effectiveness of road safety campaigns through alternative research designs
(2016)Introduction A large number of road safety communication campaigns have been designed and implemented in the recent years; however their explicit impact on driving behavior and road accident rates has been estimated in a ... -
Predictive intelligence to the edge through approximate collaborative context reasoning
(2018)We focus on Internet of Things (IoT) environments where a network of sensing and computing devices are responsible to locally process contextual data, reason and collaboratively infer the appearance of a specific phenomenon ... -
Probabilistic data allocation in pervasive computing applications
(2020)Pervasive Computing (PC) deals with the placement of services and applications around end users for facilitating their everyday activities. Current advances on the Internet of Things (IoT) and the Edge Computing (EC) provide ... -
Robust and Reliability-Based Structural Topology Optimization Using a Continuous Adjoint Method
(2016)A unified framework for robust and reliability-based structural topology optimization, considering structural model and loading uncertainties, is presented using a continuous adjoint formulation. The topology optimization ... -
A statistical study of precursor activity in earthquake-induced landslides
(2017)In this paper, a statistical study of precursor activity in earthquake-induced landslides by means of spring block models is presented. The dynamic behavior of the rock/soil slope can be studied by using the statistics of ... -
Stochastic comparisons for a static routing problem with resequencing
(2004)In communication networks, packets from the same source-destination pair may be routed along several paths and arrive at their receiver out of order. This often necessitates the use of a resequencing buffer at the destination. ... -
Uncertainty propagation for robust aerodynamic shape optimization
(2014)Three algorithms for uncertainty propagation and robust aerodynamic optimization are presented in this paper. The perturbation method based on first and second-order Taylor expansion, the asymptotic expansion based on ...