نتایج جستجو برای: sequential gaussian simulation sgsim

تعداد نتایج: 703419  

Journal: interface and thin films 2018

In previous work, one of us calculated the Solvation force of hard ellipsoid fluid with hard Gaussian overlap potential using hard needle wall interaction and non-linear equation proposed by Grimson- Rickyazen. In present work, using density functional theory and extended restricted orientation model, the solvation force of hard ellipsoid fluid in presence of more realistic rod- sphere and rod-...

Mohamad Hoseinpour Gollo Mohammad Riahi Seiied Nader Ameli Kalkhoran

Laser forming is a modern process which is mainly used for forming metals. Different Lasers are used in this regard that includes Nd: YAG and CO2. In this study, forming bi-layer sheets of Aluminum/Ceramic by Laser was investigated. Furthermore, effect of Uniform and Gaussian heat flux distribution in different power, velocity, and beam diameters on bending angle was studied. FEM simulation ind...

2010
Estefan Ortiz Xudong Wang

Fault detection and failure prediction for nonlinear non-Gaussian systems is an important issue both from the economic and safety point of view. Most of the fault detection techniques assume the system model to be linear and the noise to be Gaussian. These linearization assumptions tend to suffer form poor detection and imprecise prediction. Also, they may lead to false alarms which would incur...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه صنعت آب و برق (شهید عباسپور) - دانشکده مهندسی برق و کامپیوتر 1392

abstract according to increase in electricity consumption in one hand and power systemsreliability importance in another , fault location detection techniqueshave beenrecentlytaken to consideration. an algorithm based on collected data from both transmission line endsproposed in this thesis. in order to reducecapacitance effects of transmission line, distributed parametersof transmission line...

Journal: :Monthly Notices of the Royal Astronomical Society 2005

Journal: :Computational Statistics & Data Analysis 2016

Performance of the linear models, widely used within the framework of adaptive line enhancement (ALE), deteriorates dramatically in the presence of non-Gaussian noises. On the other hand, adaptive implementation of nonlinear models, e.g. the Volterra filters, suffers from the severe problems of large number of parameters and slow convergence. Nonetheless, kernel methods are emerging solutions t...

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