Propagation of positioning uncertainties in near-field goniophotometers using the Monte Carlo method

2020 ◽  
Vol 59 (13) ◽  
pp. 4055
Author(s):  
Bertalan Pizág ◽  
Balázs Vince Nagy
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Near Field ◽  
The Monte Carlo Method

An off-axis, reflective system for uniform near-field illumination in optical microscopy

2017 ◽  
Vol 50 (5) ◽  
pp. 787-795
Author(s):  
P Ge ◽  
K Zhang ◽  
L Mao ◽  
Y Zhang ◽  
H Xu
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Optical System ◽  
Optical Axis ◽  
Near Field ◽  
Observation Distance ◽  
The Monte Carlo Method ◽  
Simulation Results ◽  
Reflective System ◽  
Better Than

In traditional optical microsopy the uniformity of off-axis illumination is poor. In this paper we propose a novel LED optical system for near-field illumination in microscopy. The system includes a LED light source, an optical collimator and a freeform, micro-reflective lens array. The Monte Carlo method is used to simulate the system. The simulation results show that the illumination uniformity can be better than 85% in the observation zone. The optical system can be put at the side of the main optical axis of the microscope. The illumination uniformity is not varied when the observation distance changes so it has good stablilty.

scholarly journals Health Monitoring of Storage Tanks Subject to Near-Field and Far-Field Earthquakes

2021 ◽  
pp. 21-35
Author(s):  
Hossein Mirzaaghabeik ◽  
Rafael Holdorf Lopez ◽  
Marcos Souza Lenzi
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Seismic Behavior ◽  
Near Field ◽  
Underground Water ◽  
Far Field ◽  
Storage Tanks ◽  
Cavitation Effect ◽  
The Monte Carlo Method ◽  
Water Tanks

Structural Health Monitoring (SHM) is a method to conserve the structures and monitor their stress and strain situation. Natural disasters, significantly earthquake could damage the water supply systems, including water tanks. The earthquake could conclude cavitation and water sloshing inside the underground water tank. On the other hand, it can cause human tragedy economically, socially, and ecologically. Therefore, useful and essential measures for repairing and utilizing the underground water tanks after the earthquake should be considered. This research aims to monitor the underground storage tanks subject to near-field and far-field earthquakes, considering the cavitation effect. In this article, the effect of earthquakes on the underground water tanks, considering the seismic behavior and cavitation effect of the underground tank, will be considered. For considering seismic behavior on the storage tanks and their reaction, the ANSYS software has been used to simulate and model them via the finite element method. After that, the prone places to the cavitation wherever the pressures are minus will be detected by the Monte Carlo method. The cavitation effect statistics were examined, and their placement is compared with the results obtained from the Monte Carlo method. The MATLAB codes have been used to make decisions for optimal smart sensor placement via the Monte-Carlo method. Moreover, to decrease the analysis time, the comparison method is taken into account. Finally, underground water tanks were loaded subjected to near-field and far-field earthquakes. The finite element result will be analyzed via the Monte Carlo method, and the best places for installing the smart sensors will be proposed.

UGR CALCULATION BASED ON THE LUMINANCE SPATIAL-ANGULAR DISTRIBUTION

2020 ◽  
Vol 2020 (4) ◽  
pp. 25-32
Author(s):  
Viktor Zheltov ◽  
Viktor Chembaev
Keyword(s):  
Monte Carlo ◽  
Angular Distribution ◽  
Monte Carlo Method ◽  
Visual Task ◽  
New Method ◽  
Lighting System ◽  
Preliminary Assessment ◽  
System A ◽  
The Monte Carlo Method

The article has considered the calculation of the unified glare rating (UGR) based on the luminance spatial-angular distribution (LSAD). The method of local estimations of the Monte Carlo method is proposed as a method for modeling LSAD. On the basis of LSAD, it becomes possible to evaluate the quality of lighting by many criteria, including the generally accepted UGR. UGR allows preliminary assessment of the level of comfort for performing a visual task in a lighting system. A new method of "pixel-by-pixel" calculation of UGR based on LSAD is proposed.

PSHA software review based on the Monte Carlo method

2020 ◽  
pp. 14-24
Author(s):  
V.A. Mironov ◽  
S.A. Peretokin ◽  
K.V. Simonov
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Seismic Hazard ◽  
Hazard Analysis ◽  
Software Review ◽  
Seismic Hazard Analysis ◽  
Probabilistic Seismic Hazard ◽  
Test Calculation ◽  
Seismic Surveys ◽  
The Monte Carlo Method

The article is a continuation of the software research to perform probabilistic seismic hazard analysis (PSHA) as one of the main stages in engineering seismic surveys. The article provides an overview of modern software for PSHA based on the Monte Carlo method, describes in detail the work of foreign programs OpenQuake Engine and EqHaz. A test calculation of seismic hazard was carried out to compare the functionality of domestic and foreign software.

Application of the Monte Carlo Method for the Prediction of Behavior of Peptides

2019 ◽  
Vol 20 (12) ◽  
pp. 1151-1157 ◽  
Author(s):  
Alla P. Toropova ◽  
Andrey A. Toropov
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Natural Sciences ◽  
Monte Carlo Technique ◽  
Quantitative Structure ◽  
Structure Property ◽  
The Monte Carlo Method ◽  
Modern Natural

Prediction of physicochemical and biochemical behavior of peptides is an important and attractive task of the modern natural sciences, since these substances have a key role in life processes. The Monte Carlo technique is a possible way to solve the above task. The Monte Carlo method is a tool with different applications relative to the study of peptides: (i) analysis of the 3D configurations (conformers); (ii) establishment of quantitative structure – property / activity relationships (QSPRs/QSARs); and (iii) development of databases on the biopolymers. Current ideas related to application of the Monte Carlo technique for studying peptides and biopolymers have been discussed in this review.

Modeling grain growth by the monte carlo method on isotropic grids

1999 ◽  
Vol 72 (1) ◽  
pp. 68-72
Author(s):  
M. Yu. Al’es ◽  
A. I. Varnavskii ◽  
S. P. Kopysov
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Grain Growth ◽  
The Monte Carlo Method
Sign in / Sign up

Export Citation Format

Share Document