Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 19 of 19 for “"Stochastic Method"”.
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Random-vortex-particle methods applied to broadband fan interaction noise
… thesis is to investigate the suitability of a stochastic method for computational aeroacoustics, the specific objective being to devise a stochastic method to generate synthetic turbulence and combine it with the linearised Euler equations to predict broadband fan interaction noise. In modern …
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Modification of the simulated annealing optimization technique and its application to both a dynamic control and gas tagging problem
… technique is simulated annealing, a Monte Carlo (stochastic) method. Although it has been used primarily for the solution of combinatorial optimization problems, it is just starting to be applied to problems with continuous domains as well as to linear programming problems.
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Semiconductor yield analysis and prediction using a stochastic layout sensitivity model
… these models effort and time consuming. The stochastic method of yield modeling presents a much faster and easier approach. This thesis contributes to the stochastic method of yield modeling by offer-ing an efficient model that predicts the layout sensitivity to defects using very basic …
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Profit maximization of a kanban-based supply chain
In this paper, we propose a stochastic method to model a multi-stage Kanban-based supply chain, constructed strictly under the JIT philosophy.This model decides the optimum number of Kanban with a trade-off between inventory cost and customer service level.After developing this model, we implement …
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Characterization of uncertainty in remotely-sensed precipitation estimates
… rates are generally higher. Next, a new stochastic method is developed to generate spatially intermittent precipitation replicates. These replicates constitute a prior population that can be updated in a Bayesian framework using observations. Bayesian approach allows us to both merge …
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Avaliação da eficiência técnica hospitalar do SUS na Paraíba
… System (DATASUL). It was applied using a border stochastic method in which literature is used to check the technical inefficiency of a production unit. This mathematical method uses variable inputs and products that generate scores from zero to one. Generated values will indicate if the …
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A three-dimensional analytical study of spatial variability of seismic ground motions
"A hybrid deterministic and stochastic method is developed to estimate the spatial variation of seismic ground motions which is necessary for the analysis and design of lifeline systems. An analytical model for wave propagating through a three-dimensional half-space is first proposed to evaluate …
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Data Center Load Forecast Using Dependent Mixture Model
… forces industries to come up with techniques and methodologies to reduce the data center energy use. Load forecasting plays a vital role in both efficient scheduling and operating a data center as a virtual power plant. In this thesis work a stochastic method, based on dependent mixtures is …
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Resource management in wireless heterogeneous networks: an optimization perspective
… is incomplete/inexact. We propose a general stochastic successive upper-bound minimization approach to optimize the average/ergodic utility of the system. We specialize our method to obtain an efficient stochastic sum-rate maximization algorithm. The proposed algorithm can use the statistical …
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Stochastic modelling of silicon nanoparticle synthesis
This thesis presents new methods to study the aerosol synthesis of nano-particles and a new model to simulate the formation of silicon nanoparticles. Population balance modelling is used to model nanoparticle synthesis and a stochastic numerical method is used to solve the governing equations. The …
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Detailed population balance modelling of industrial titania synthesis
… synthesis of structured particles using a stochastic method. This is developed in the context of the industrial titania (TiO2) process to enable extensive numerical characterisation of the pigmentary product. A reactor network model is used to provide a modular treatment of the reactor and …
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Structure Function Relation of Porous 2D Material via SGCMC Simulation and Statistical Models
… simulation for fracture mechanics, which is a stochastic method that is capable of capturing both the initiation and the propagation of fractures in a medium. We then optimize the performance of our SGCMC simulation to reduce its time complexity from O(n²·³⁸) to O(n¹·²⁴) and its space …
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Computational Techniques for the Analysis of Large Scale Biological Systems
… yellow fever mosquito. Cell cycle system evolves stochastic effects when there are a small number of molecules react each other. Consequently, the stochastic effects of the cell cycle are important, and the evolution of cells is best described statistically. Stochastic simulation algorithm (SSA), …
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On-line Nonlinear Characterization of Anisotropic Materials
… information of anisotropic materials. A stochastic method is developed to characterize the linear behavior of anisotropic materials under the influence of full-field strain measurement noise. This method first derives stochastic equations based on the formulas of energy-based …
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Stochastic and Renewal Methods Applied to Epidemic Models
… demographically open population. The analytical methods are used to show that the cumulative force of infection for the closed population and the endemic force of infection in the demographically open population can be significantly reduced by combining two factors: the vaccine effectiveness and …
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Models of stand basal area distributions, individual tree basal area growth, and height-diameter relationships for loblolly pine
The study dealt with developing methodologies for predicting basal area distributions and individual tree basal areas. Data for the study was from the Hill Farm Experiment Station at Homer, Louisiana. Five height-diameter (basal area) curves were examined to determine which was most appropriate for …
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Evolutionary and genetic strategies for topology optimization of frameworks: pareto-comparisons and hybrid methods
… and cost-effective topology optimization methods for framework structures. The first part of the thesis concentrates on the assessment of the effectiveness of the Evolutionary Structural Optimization (ESO) method of designing frameworks. This method is critically examined by studying the …
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Detailed Population Balance Modelling of Titanium Dioxide Nanoparticle Synthesis
… wall reactor is simulated. A two-step simulation methodology is presented to apply the model to a stagnation flame. The methodology extends an existing two-step method, where a detailed population balance model is applied as a post-processing step to flame profiles obtained from a fully-coupled …
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Models for grain microstructure evolution and grain statistics
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms