Device Simulation Augmented by 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.

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PSHA software review based on the Monte Carlo method

Informatization and communication ◽

10.34219/2078-8320-2020-11-2-14-24 ◽

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.

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

Current Protein and Peptide Science ◽

10.2174/1389203720666190123163907 ◽

2019 ◽

Vol 20 (12) ◽

pp. 1151-1157 ◽

Cited By ~ 3

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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