Parameter Estimation on a Stochastic SIR Model with Media Coverage by Changguo Li, Yongzhen Pei, Meixia Zhu, Yue Deng

“…In order to reduce the computational load, the Newton-Raphson algorithm and Markov Chain Monte Carlo (MCMC) technique are incorporated with maximum likelihood estimation. …”
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Reliability Analysis Method of the Motion Accuracy of Rotating Guide-bar Mechanism Considering Multi-correlated Failure Mode by Li Chang, Wang Bingchen, Han Xing, Song Hua

“…There inevitably existed multi-correlated failure modes in the mechanism motion process,and these modes are expressed as functions of random variables.Firstly,a reliability calculation model for the mechanism motion under multi-failure mode is built and solved.Secondly,taking the rotating guide-bar mechanism as example,the calculation solution of the motion accuracy reliability under multi-correlated failure mode is carried out based on the method of Monte Carlo.Lastly,the guide-bar mechanism reliability curves under different times are got,and the theory foundation for mechanism dynamic optimum design is provided.This method with high accuracy,has some theory meaning and application value.…”
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Finite size analysis for interacting bosons at the one-two dimensional crossover by Lorenzo Pizzino, Hepeng Yao, Thierry Giamarchi

“…In this work, we extend the analysis of interacting bosons at 2D-1D dimensional crossover for finite size and temperature by using the field theory approach (bosonization) and quantum Monte Carlo simulations. Stemming from the fact that finite size low-dimensional systems are allowed only to have quasiordered phase, we consider the self-consistent harmonic approximation to compute the fraction of quasicondensate and its scaling with the system size. …”
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Design and Kinematics Simulation of a Wire-driven Multi-section Continuous Manipulator by Wei Guiwei, Xu Zhenbang, Zhao Zhiyuan, Yu Yang, Wu Qingwen

“…The manipulator workspace is described using improved Monte Carlo method. The kinematics simulation of the manipulator is carried out by using Matlab. …”
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Identifying an Odour Source in Fluid-Advected Environments, Algorithms Abstracted from Moth-Inspired Plume Tracing Strategies by Wei Li

“…First, we introduce the concept of the last chemical detection points that leads to construction of a source identification zone and development of two variations in the source identification algorithms. Second, we use Monte Carlo methods to optimise the proposed algorithms in a simulated environment. …”
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On the Weighted Mixed Almost Unbiased Ridge Estimator in Stochastic Restricted Linear Regression by Chaolin Liu, Hu Yang, Jibo Wu

“…Finally, theoretical results are illustrated by a real data example and a Monte Carlo study.…”
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Research of High Precision Harmonic Drive with Short Flexspline of Heliostat in Solar Thermal Power by Guanghui Yin, Lü Hongzhan

“…Based on statistics and probability theory， transmission error is calculated and the sensitivity of error of parts is analyzed with the Monte Carlo method. The results show that the transmission precision can meet the requirements of the heliostat and the flexible wheel and the output rigid wheel have the greatest influence on the transmission precision. …”
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Performance analysis of antenna correlation on land mobile satellite based MIMO systems by Yuan LIN, Yuan-zhi HE, Jing-chao WANG, Han HAN

“…The joint effect of spatial correlation and shadowing of channels on the performance of land mobile satellite MIMO system was analyzed.With the help of contour integral,residue theorem and integral of special functions,closed-form approximations of the outage probability (OP) and the average symbol error rate (SER)were derived.The Monte Carlo simulations results were illustrated through several examples in order to assess the impact of correlation coefficient,the number of antenna and different modulation mode on the performance.It shows that although channel correlation and shadowing degrade system gain,significant performance gains can be obtained by multi-satellite MIMO systems compared to relevant single-input single-output (SISO) ones.…”
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Inference of Process Capability Index Cpy for 3-Burr-XII Distribution Based on Progressive Type-II Censoring by Rashad M. EL-Sagheer, Mustafa M. Hasaballah

“…The Bayesian estimates for the index Cpy have been obtained by the Markov Chain Monte Carlo method. Also, the credible intervals are constructed by using MCMC samples. …”
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Uncertainty Analysis of Mixing Efficiency Variation in Passive Micromixers due to Geometric Tolerances by Irina Stanciu

“…A probabilistic simulation model, based on the Monte Carlo method, is developed and implemented for this purpose. …”
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Effect of cracking and randomness of inputs on corrosion initiation of reinforced concrete bridge decks exposed to chlorides by P. Konecny, P. Lehner

“…The preliminary model for damage effect on chloride ion ingress through water proof membrane under penetrable asphalt overlay is used. 2-D finite element chloride ingress model is combined with Monte Carlo simulation technique. The innovative crack effect modeling via highly penetrable elements is applied. …”
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Nitrogen Adsorption Studies on Non-Porous Silica: The Annealing Effect over Surface Non-Bridging Oxygen Atoms by Carmelo Herdes, Patrícia A. Russo, M. Manuela L. Ribeiro Carrott, Peter J.M. Carrott

“…By means of Grand Canonical Monte Carlo (GCMC) simulations, nitrogen adsorption isotherms were obtained for each sample, with charged and uncharged nitrogen molecules, and compared with relevant experimental data. …”
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Optical quantum positioning method based on random resampling of scattering free path by Mu ZHOU, Jing ZHANG, Yong WANG, Xiaolong YANG, Lingxia LI

“…To solve the problem that the quantum signal was disturbed by the scattering environment, which lead to large fluctuation of the positioning error and poor positioning robustness, an optical quantum positioning method based on random resampling of the scattering free path was proposed.The scattering model was established based on the Monte Carlo theory, and the scattering free path matrix was constructed by combining the environment information and coincidence counting results.The scattering free program was resampled, and the relative distance error of different light sources in different time groups was calculated.Based on that, the light sources were dynamically selected, and the position of the target object was estimated.Experimental results show that the positioning error of the proposed method can achieve the centimeter level, and the confidence probability of the positioning error within 0.12 m is 90.57%.…”
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Modelling of Ethane/Ethylene Separation Using Microporous by Susana Curbelo, Erich A. Müller

“…Grand Canonical Monte Carlo simulations of the adsorption of a mixture of ethane and ethylene on microporous slit graphite pores are reported. …”
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Testing Data Cloning as the Basis of an Estimator for the Stochastic Volatility in Mean Model by E. Romero, E. Ropero-Moriones

“…Notably, the estimates it provides yield superior outcomes than those derived from the Markov chain Monte Carlo (MCMC) method in terms of standard errors, all while being unaffected by the selection of prior distributions.…”
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Cooperative Analysis of a Scorpion-like Composite Robot with Multiple Arms by Xue Jiaolong, Gao Qiang, Zhang Jie, Yan Hongwei

“…In order to verify the rationality of the robot structure, the overall D-H structure of the composite robot is modeled by Matlab, the forward and inverse kinematics of the legs of the composite robot are analyzed, and the working space probability model of the infrared thermometer with both arms and tail is obtained by Monte Carlo method simulation. In order to verify the motion stability of the robot, the stable gait of the composite robot was obtained through Adams simulation. …”
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ROBUST OPTIMIZATION DESIGN OF SUSPENSION BASED ON 6σ by FENG JinZhi, YANG ZhiFeng, YANG ZhenYi, LIN Yang, ZHENG SongLin

“…Based on the same constraints, the sequence quadratic optimization algorithm is used to deterministic optimize of the suspension and the robustness design of it. The Monte Carlo simulation is used to analyze the robustness of each optimization result. …”
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Target Tracking Algorithm in Football Match Video Based on Deep Learning by Wei Zhao

“…Scale space discriminant tracking algorithm and Markov Monte Carlo algorithm are used to track single target or multi-target, respectively. …”
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Random Error Estimation and Propagation Analysis for Satellites’ Initial Positions by Huanqin Wu, Maocai Wang, Zhiming Song, Xiaoyu Chen, Guangming Dai

“…By comparing with the experiment results using the Monte Carlo method, it is proved that the proposed model is relatively simple, highly effective, and good at accuracy.…”
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Evolutionary game on mutually influenceing double-layer network. by Qinzhi Hao, Haochun Yang, Yao Sun, Tao Xu, Huang Huang

“…Strength individuals are located in the upper network layer, influencing the strategy choices of ordinary individuals in the lower layer, and vice versa. Monte Carlo simulations show that strength individuals can effectively enhance overall group cooperation. …”
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