scholarly journals Micromagnetic Monte Carlo method with variable magnetization length based on the Landau–Lifshitz–Bloch equation for computation of large-scale thermodynamic equilibrium states

2021 ◽  
Vol 130 (16) ◽  
pp. 163902
Author(s):  
Serban Lepadatu
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Thermodynamic Equilibrium ◽  
Large Scale ◽  
Bloch Equation ◽  
Equilibrium States

Experimental simulation of large-scale bioreaetor environments using a Monte Carlo method

1991 ◽  
Vol 69 (2) ◽  
pp. 513-519 ◽  
Author(s):  
Pradyumna K. Namdev ◽  
Pallavur K. Yegneswaran ◽  
Murray R. Gray ◽  
B. G. Thompson
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Large Scale ◽  
Experimental Simulation

scholarly journals Research on Region Division of Large Workpiece Based on Dexterous Workspace of Robot

2021 ◽  
Vol 2095 (1) ◽  
pp. 012059
Author(s):  
Yonggui Zhang ◽  
Gan Zhang ◽  
Xin Xu ◽  
Qianqiu Zhao
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Coordinate System ◽  
Large Scale ◽  
Forward Kinematics ◽  
Geometric Features ◽  
Task Space ◽  
Region Division ◽  
And Task

Abstract In order to complete the processing of large-scale workpieces, a region division of large-scale workpieces based on robot dexterous workspace is studied. The linkage coordinate system of the robot is established by D-H method, and the forward kinematics equation of the robot is obtained; Monte Carlo method is used to analyze the workspace of the robot, and MATLAB is used to program to draw the workspace and task space of the robot; Taking an example part as the object, the feature of the part is studied, and the process of determining the task space area of the workpiece in the dexterous workspace of the robot is given, and the region of the workpiece is divided based on the size of the task space and the geometric features of the workpiece.

scholarly journals Uncertainty Analysis of Ship Model Propulsion Test on Actual Seas Based on Monte Carlo Method

2020 ◽  
Vol 8 (6) ◽  
pp. 398 ◽  
Author(s):  
Guangli Zhou ◽  
Yuwei Wang ◽  
Dagang Zhao ◽  
Jianfeng Lin
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Large Scale ◽  
Performance Test ◽  
The Yellow Sea ◽  
Test Accuracy ◽  
Northwestern Part ◽  
Test Environment ◽  
Ship Model ◽  
Propulsion Performance

As a new testing technology, large-scale ship model tests on the sea are advantageous in addressing the scale effect in ship models and in simulating ship navigation conditions. In this study, the uncertainty of a ship model propulsion test on the sea was analyzed using the Monte Carlo method, and the influence of the test environment was quantified. We used a 25 m-long ship model for the propulsion performance test. Based on the procedure recommended by the International Standardization Organization (ISO), several tests were conducted on the Yellow Sea (the northwestern part of the East China Sea). The results demonstrate that the wind and waves in the environment are the two factors that have the greatest influence on the test accuracy. This study will aid the development of sea trials, and the analysis method used in the propulsion test is also suitable for many complex ship tests.

scholarly journals Spatial distribution of GRBs and large scale structure of the Universe

2015 ◽  
Vol 11 (S319) ◽  
pp. 3-4
Author(s):  
Zsolt Bagoly ◽  
István I. Rácz ◽  
Lajos G. Balázs ◽  
L. Viktor Tóth ◽  
István Horváth
Keyword(s):  
Monte Carlo ◽  
Spatial Distribution ◽  
Markov Chain ◽  
Monte Carlo Method ◽  
Large Scale ◽  
Starburst Galaxies ◽  
Space Distribution ◽  
Large Scale Structures ◽  
Scale Structures ◽  
The Universe

AbstractWe studied the space distribution of the starburst galaxies from Millennium XXL database at z = 0.82. We examined the starburst distribution in the classical Millennium I (De Lucia et al. (2006)) using a semi-analytical model for the genesis of the galaxies. We simulated a starburst galaxies sample with Markov Chain Monte Carlo method. The connection between the large scale structures homogenous and starburst groups distribution (Kofman and Shandarin 1998), Suhhonenko et al. (2011), Liivamägi et al. (2012), Park et al. (2012), Horvath et al. (2014), Horvath et al. (2015)) on a defined scale were checked too.

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