scholarly journals Performance analysis of PQDCF-coated silicon image sensor using Monte-Carlo ray-trace simulation

2019 ◽  
Vol 27 (6) ◽  
pp. 9079
Author(s):  
Qinwen Tan ◽  
Xian-Gang Wu ◽  
Mengjiao Zhang ◽  
Linghai Meng ◽  
Haizheng Zhong ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Performance Analysis ◽  
Image Sensor ◽  
Ray Trace

scholarly journals A Monte-Carlo approach to lifespan failure performance analysis of the network fabric in modular data centers

2017 ◽  
Vol 87 ◽  
pp. 131-146 ◽  
Author(s):  
Reza Farrahi Moghaddam ◽  
Vahid Asghari ◽  
Fereydoun Farrahi Moghaddam ◽  
Yves Lemieux ◽  
Mohamed Cheriet
Keyword(s):  
Monte Carlo ◽  
Performance Analysis ◽  
Data Centers ◽  
Monte Carlo Approach ◽  
Modular Data ◽  
Modular Data Centers

Optimal importance sampling for the Laplace transform of exponential Brownian functionals

2016 ◽  
Vol 53 (2) ◽  
pp. 531-542 ◽  
Author(s):  
Je Guk Kim
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Performance Analysis ◽  
Laplace Transform ◽  
Importance Sampling ◽  
Pricing Model ◽  
Asymptotically Optimal ◽  
Closed Form Solutions ◽  
The Laplace Transform ◽  
Exponential Brownian Functionals

Abstract We present an asymptotically optimal importance sampling for Monte Carlo simulation of the Laplace transform of exponential Brownian functionals which plays a prominent role in many disciplines. To this end we utilize the theory of large deviations to reduce finding an asymptotically optimal importance sampling measure to solving a calculus of variations problem. Closed-form solutions are obtained. In addition we also present a path to the test of regularity of optimal drift which is an issue in implementing the proposed method. The performance analysis of the method is provided through the Dothan bond pricing model.

Estimation and Use of the Radiation Distribution Factor Median for Predicting Uncertainty in the Monte Carlo Ray-Trace Method

2019 ◽  
Vol 141 (6) ◽  
Author(s):  
Mehran Yarahmadi ◽  
J. Robert Mahan ◽  
Kory J. Priestley
Keyword(s):  
Heat Transfer ◽  
Monte Carlo ◽  
A Priori ◽  
Heat Transfer Analysis ◽  
Distribution Factor ◽  
Recent Contribution ◽  
Radiation Distribution ◽  
Radiation Behavior ◽  
Ray Trace ◽  
Probability Density Function Pdf

In a recent contribution, the authors show that the uncertainty in heat transfer results obtained using the Monte Carlo ray-trace (MCRT) method is related to the median of the radiation distribution factor probability density function (PDF). The value of this discovery would be significantly enhanced if the median could be known a priori without first computing the distribution factors. This would allow the user to determine the number of rays required to achieve the desired accuracy of a subsequent heat transfer analysis. The current contribution presents a correlation for the median of the distribution factor PDF as a function of emissivity and the number of surface elements defining an enclosure. The correlation involves a single parameter whose value is unique for a given enclosure geometry. We find that the radiation behavior of a given enclosure can be classified on a scale ranging from reflection-dominated to geometry-dominated. The correlation is shown to work well for reflection-dominated enclosures but less well for geometry-dominated enclosures.

Performance analysis of an improved 3-D PET Monte Carlo simulation and scatter correction

2002 ◽  
Vol 49 (1) ◽  
pp. 83-89 ◽  
Author(s):  
C.H. Holdsworth ◽  
C.S. Levin ◽  
M. Janecek ◽  
M. Dahlbom ◽  
E.J. Hoffman
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Performance Analysis ◽  
Scatter Correction
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