Algorithm of Underground Personnel Positioning Based on Improved Monte Carlo

In order to improve the positioning accuracy of underground targets, especially the positioning accuracy of moving targets, an improved weighted Monte Carlo positioning algorithm is proposed. In the sampling initialization stage, the beacon node gradually constructs the sampling area according to the RSSI size and combines the Monte Carlo method to further narrow the range and improve the sampling success rate. In the filtering stage, refer to the sampling area at time and further improve the sample quality at t − 1 after two filterings. In the recollection stage, cooperate with invalid sample sets to reduce the number of recollections and weigh the final samples to improve the positioning accuracy of the nodes to be tested.

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Effectiveness Calculation of Multiple Rounds Simultaneous Impact Shooting Method Based on Monte Carlo Method

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.397-400.2459 ◽

2013 ◽

Vol 397-400 ◽

pp. 2459-2463 ◽

Cited By ~ 1

Author(s):

Xin Jun Hu ◽

Hang Yu Wang

Keyword(s):

Monte Carlo ◽

Monte Carlo Method ◽

Shooting Method ◽

Moving Targets ◽

Simultaneous Impact ◽

The Monte Carlo Method ◽

Naval Gun ◽

Simulation Results

Multiple Rounds Simultaneous Impact shooting method (MRSI) improved the hit projectiles greatly.It will effect the shooting effectiveness of Large Caliber Naval Gun weapon system.Based on the analysis of the priciple of Monte Carlo method,the consistent of shooting errors was given.Then built the configuration rules of aiming points,and given the Optimal configuration.Also the Monte Carlo method was adopt to calculate the shooting effectiveness of Large Caliber Naval Gun weapon system.The simulation results showes that MRSI shooting method could attack the moving targets effectively.

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SIMULATION OF TURBULENT REACTIVE FLOW BY THE LARGE EDDY SIMULATION METHOD COMBINED WITH THE MONTE-CARLO METHOD FOR CALCULATING SUBGRID STRESSES

Gorenie i vzryv (Moskva) — Combustion and Explosion ◽

10.30826/ce18110209 ◽

2018 ◽

Vol 11 (2) ◽

pp. 66-75

Author(s):

R. R. Tukhvatullina ◽

◽

V. S. Ivanov ◽

S. M. Frolov ◽

B. Basara ◽

...

Keyword(s):

Monte Carlo ◽

Monte Carlo Method ◽

Large Eddy Simulation ◽

Simulation Method ◽

Reactive Flow ◽

Eddy Simulation ◽

The Monte Carlo Method ◽

Large Eddy ◽

Subgrid Stresses

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UGR CALCULATION BASED ON THE LUMINANCE SPATIAL-ANGULAR DISTRIBUTION

Automation and modeling in design and management of ◽

10.30987/2658-6436-2020-4-25-32 ◽

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.

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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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