Structural Parameters Optimization of R&(2-RPR)+UPS Parallel Mechanical Legs by Li Zhen, Wang Xiaolei, Li Xiaodan

“…Secondly, the workspace volume of the single leg is computed by Monte Carlo method and used as the optimization index. …”
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Variance Swap Pricing under Markov-Modulated Jump-Diffusion Model by Shican Liu, Yu Yang, Hu Zhang, Yonghong Wu

“…The counterpart pricing formula for a variance swap with continuous sampling times is also derived and compared with the discrete price to show the improvement of accuracy in our solution. Moreover, a semi-Monte-Carlo simulation is also presented in comparison with the two semi-closed-form pricing formulas. …”
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LED Lighting System Reliability Modeling and Inference via Random Effects Gamma Process and Copula Function by Huibing Hao, Chun Su, Chunping Li

“…Considering the model is so complicated and analytically intractable, the Markov chain Monte Carlo (MCMC) method is used to estimate the unknown parameters. …”
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Using the Bayesian Model Averaging Approach for Genomic Selection by Considering Skewed Error Distributions by Azadeh Ghazanfari, Afshin Fayyaz Movaghar

“…Occam’s window and Markov-Chain Monte Carlo model composition (MC3) were used to determine the best model and its uncertainty. …”
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Vibration Reliability Analysis of Drum Brake Using the Artificial Neural Network and Important Sampling Method by Zhou Yang, Unsong Pak, Cholu Kwon

“…The results show that the probability of failure of the RBF-IS method is closer to that of the Monte-Carlo simulation method (MCS) than those of other methods (including BP-IS). …”
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Impact assessment of volcanic tsunamis in coastal regions for disaster risk reduction by Juanara Elmo, Lam Chi Yung

“…The assessment draws on a detailed analysis of variables such as cascading effects, tsunami heights, wave travel distances, and fatalities. Monte Carlo simulations was used to quantify the risks of future tsunamis, emphasizing the variability in wave heights across different coastal regions. …”
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A Design of Variable-configuration Hexapod Robots by Wang Xiaolei, Guo Jikang

“…Subsequently, the foot end workspace was solved with the use of the Monte Carlo method. In order to comprehensively evaluate the performance of the robot, the working space, mechanism dexterity and mechanism stiffness were taken as the performance indicators, and they were analyzed afterwards. …”
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Structural Design of Catenary Equipment Inspection Robots by Tao Zhutong, Wang Guozhi, Li Rongduo

“…The screw theory and the modern matrix exponential product formula are used to establish the kinematics model; the Matlab Robotics toolbox is used to establish the simulation model and verify the kinematics equation; the Monte Carlo method is used to solve the robot workspace and draw the point cloud map. …”
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Performance Analysis in the Decode-and-Forward Full-Duplex Relaying Network with SWIPT by Phu Tran Tin, Phan Van-Duc, Tan N. Nguyen, Le Anh Vu

“…In the performance analysis, we derive the exact expressions for outage probability (OP) by applying the receiver’s selection combining (SC) technique. Then, the Monte Carlo simulation is performed to verify the correctness of the mathematical analysis. …”
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The Multiple Scattering of Laser Beam Propagation in Advection Fog and Radiation Fog by Qiang Xu, Yunhua Cao, Yuanyuan Zhang, Shaohui Yan, Yiping Han, Zhensen Wu

“…The characteristics of laser beam scattering in different types of fogs are studied based on the droplet size characteristics of advection fog and radiation fog, the scattering coefficients of droplets with different laser wavelengths(0.86 μm, 0.91 μm, 1.06 μm, 1.3015, and 10.6 μm) are calculated, the multi scattering of laser beam is studied by the Monte Carlo method, the propagation path and scattering direction of photons is analyzed, relations between asymmetry factor, albedo of fog droplets, and the visibility are presented, and the forward scattering intensity and the backward scattering intensity versus scattering angle are gotten and discussed.…”
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A New Uncertain Analysis Method for the Prediction of Acoustic Field with Random and Interval Parameters by Mingjie Wang, Zhimin Wan, Qibai Huang

“…The results show that the PCRS method is more efficient compared to the direct Monte Carlo simulation (MCS) method based on the original numerical model without causing significant loss of accuracy.…”
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Scatter and Blurring Compensation in Inhomogeneous Media Using a Postprocessing Method by Yan Yan, Gengsheng L. Zeng

“…This 2D-PSF in the inhomogeneous medium is fitted with an asymmetric Gaussian function based on Monte Carlo simulation results. An efficient further blurring and deconvolution method was used to restore images from the spatially variant 2D-PSF kernel. …”
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Analysis for rank distribution of BATS codes under time-variant channels by Shiheng WANG, Heng LIU, Lin TANG, Jinling SU, Ruiqi ZHANG

“…As a two-step coding technique applied in multi-hop networks with a low complexity, the transmission performance of batched sparse (BATS) code was directly related to the rank distribution of the transfer matrix.Based on the assumption that the packet loss rate of each link on the erasure channel was constant, the rank distribution of the batch sparse codes on the erasure correction channel had been widely studied.However, in some scenarios such as the industrial Internet, a large number of mobile nodes were deployed in the whole network, which may cause the channels among nodes to become time-varying, that was, the packet loss rate on the link may vary with time.Therefore, under the assumption that the link packet loss rate between nodes in the network changes randomly, the rank distribution of batched sparse code transmission matrix was studied when random linear network coding (RLNC) and system recoding were used as inner coding schemes, and the closed solution of normalized rank expectation was deduced when the link packet loss rate obeyed the finite interval normal distribution.The correctness of the closed solutions was verified by Monte Carlo simulation.…”
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Splitting Travel Time Based on AFC Data: Estimating Walking, Waiting, Transfer, and In-Vehicle Travel Times in Metro System by Yong-Sheng Zhang, En-Jian Yao

“…Then, Markov Chain Monte Carlo method is designed to estimate all parameters endogenously. …”
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Pharmacodynamic Profiling of Antimicrobials against Gram-negative Respiratory Isolates from Canadian Hospitals by Rebecca A. Keel, George G. Zhanel, Sheryl Zelenitsky, David P. Nicolau

“…The objective of this study was to assess the profile of a variety of dosing regimens for common intravenous antibiotics against contemporary Enterobacter cloacae, Escherichia coli, Klebsiella pneumoniae and Pseudomonas aeruginosa isolates collected in Canada during 2009, using pharmacodynamic modelling techniques. Monte Carlo simulation was conducted for standard and/or prolonged infusion regimens of cefepime, ceftazidime, ceftriaxone, ciprofloxacin, doripenem, ertapenem, meropenem and piperacillin/tazobactam. …”
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An Actual Position Benchmark for Mexican Pension Funds Performance by Óscar V. De la Torre Torres, Evaristo Galeana Figueroa, Dora Aguilasocho Montoya

“…Para ello, se utilizó un backtest de abril de 2008 a abril de 2013 y una simulación Monte Carlo a diez años. Los resultados sugieren que, pese a que el msr presenta mayor retorno acu - mulado, el apb es una referencia recomendable por sus niveles estadísticamente iguales de índice de Sharpe, su máxima pérdida potencial y la igualdad est adística de su retorno.…”
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Graph-Based Node Finding in Big Complex Contextual Social Graphs by Keshou Wu, Guanfeng Liu, Junwen Lu

“…Targeting this challenging problem, we propose a recurrent neural network- (RNN-) based Monte Carlo Tree Search algorithm (RN-MCTS), which automatically balances exploring new possible matches and extending existing matches. …”
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Stability Optimization of a Disc Brake System with Hybrid Uncertainties for Squeal Reduction by Hui Lü, Dejie Yu

“…The combinational algorithm of Genetic Algorithm and Monte-Carlo method is employed to perform the optimization. …”
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PROBABILITY ANALYSIS ON LAST PLY FAILURE OF COMPOSITE LAMINATES BASED ON UNIVERSAL GENERATING FUNCTION METHOD by LIU ChengLong, ZHOU JinYu, QIU Rui, ZHUANG BaiLiang, HU Jian

“…The reliability value is close to the Monte Carlo simulation results. The new method can provide a new idea for reliability analysis of composite laminates.…”
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Improved Modelling and Assessment of the Performance of Firefighting Means in the Frame of a Fire PSA by Martina Kloos, Joerg Peschke

“…The tools used in the analysis are the code FDS (Fire Dynamics Simulator) for fire simulation and the tool MCDET (Monte Carlo Dynamic Event Tree) for handling epistemic and aleatory uncertainties. …”
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