scholarly journals The Reliability Model of Artificial Monitoring on the Anomalous Event in Expressway Tunnels and Monte Carlo Simulation

2019 ◽  
Vol 4 (3) ◽  
pp. p172
Author(s):  
Ling WU ◽  
Yueqi HU ◽  
Weihua ZHAO ◽  
Tong ZHU
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Video Surveillance ◽  
Warning System ◽  
Reliability Models ◽  
The Monte Carlo Method ◽  
Anomalous Event ◽  
Actual Operation ◽  
The Mean ◽  
Mean Time

Artificial monitoring remains to be a major way to detect anomalous events in expressway tunnels. To estimate the reliability of artificial monitoring on anomalous events in expressway tunnels, the video surveillance and mobile inspection based reliability models of artificial monitoring on the anomalous event in the expressway tunnel were built, and Monte Carlo method was applied to calculate the probability and mean time to detect the anomalous event at the specific time. The results showed that the Monte Carlo method could simulate video surveillance and mobile inspection, and obtain the probability distribution and mean time of detecting anomalous events. The mean time to spot the anomalous event was in reverse relation with the number of inspectors, the time of mobile inspection, and the reliability probability of the monitoring pre-warning system in tunnels and was in positive relationships with the departure interval. Combined with the actual operation cost, the model serves as a basis for the artificial monitoring package.

Estimation of Random Variable Distribution Parameters by the Monte Carlo Method

2013 ◽  
Vol 20 (2) ◽  
pp. 249-262 ◽  
Author(s):  
Sergiusz Sienkowski
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Random Variable ◽  
Statistical Parameters ◽  
The Monte Carlo Method ◽  
Variable Distribution ◽  
Distribution Parameters ◽  
The Subject ◽  
The Mean ◽  
Typical Measurement

Abstract The paper is concerned with issues of the estimation of random variable distribution parameters by the Monte Carlo method. Such quantities can correspond to statistical parameters computed based on the data obtained in typical measurement situations. The subject of the research is the mean, the mean square and the variance of random variables with uniform, Gaussian, Student, Simpson, trapezoidal, exponential, gamma and arcsine distributions.

scholarly journals THREE CLASSIFICATIONS ON BRANCHING PROCESSES AND THEIR BEHAVIOR FOR FINDING THE SOLUTION OF NONLINEAR INTEGRAL EQUATIONS

2010 ◽  
Vol 15 (3) ◽  
pp. 371-381
Author(s):  
Behrouz Fathi Vajargah ◽  
Mojtaba Moradi
Keyword(s):  
Integral Equation ◽  
Monte Carlo ◽  
Fixed Point ◽  
Monte Carlo Method ◽  
Integral Equations ◽  
Branching Process ◽  
Branching Processes ◽  
Nonlinear Integral Equations ◽  
The Monte Carlo Method ◽  
The Mean

In this paper, we consider the Monte Carlo method for finding the solution of nonlinear integral equations at a fixed point xo‐ In this method, simulated Galton‐Watson branching process is employed for solving the proposed integral equation. The main goal of this paper is to compare the behavior of three classifications of branching process based on the mean progeny, i.e. the subcritical, critical and supercritical process.

Radiology and mammography standard X-ray spectra simulated with the Monte Carlo method

2021 ◽  
Vol 9 (2C) ◽  
Author(s):  
Joel Marques Xavier Filho ◽  
Iury Santos Silveira ◽  
Linda Viola Ehlin Caldas
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Quality Parameters ◽  
Monte Carlo Code ◽  
X Ray ◽  
The Monte Carlo Method ◽  
The Mean

Six standard beams described in the TRS-457 (IAEA): RQR 5, 8, M1, M2, M3, M4 were simulated using the EGSnrc Monte Carlo code. Each spectrum was created by an X-ray tube simulated in BEAMnrc, and attenuation curves were obtained using the application egs_kerma. The quality of each beam was evaluated by the 1st and 2nd half-value layers, the homogeneity coefficients and the mean energies. All beams presented quality parameters compatible with those described in TRS-457 (IAEA).

The Monte Carlo Method Used in Self-Switching Device

2013 ◽  
Vol 760-762 ◽  
pp. 607-611
Author(s):  
Yang Heng ◽  
Kun Yuan Xu
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Ballistic Transport ◽  
Mean Free Path ◽  
Electron Velocity ◽  
Nanometer Scale ◽  
Switching Device ◽  
The Monte Carlo Method ◽  
The Mean ◽  
Device Size

Optoelectronic Devices have obtained great interests for many decades. With the development of technology and in-depth research, the devices are scaled down rapidly, reaching sub-millimeter or even nanometer scale, and resulting in various new features. In recent years, a so called Self-Switching Device (SSD) which has diode-like I-V characteristics has attracted more and more attentions. Using Monte Carlo method, we have studied the electron transport in the self-switching device. Simulation results show that when the device size is smaller than the mean free path of electrons, the electron velocity is very different from that of larger device. The electron velocity and the energy become faster and higher, respectively. The reason of this phenomenon is explained by ballistic transport of electrons in the small size device. Since ballistic transport plays an important role in determining the behavior of electrons in small size device, it is need to be included in nanometer scale device modeling.

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.

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