Design and Optimization of the Master Manipulator of Minimally Invasive Surgery Robots by Liu Fen, Song Liqiang, Huang Fang, Han Rui, Sang Hongqiang

“…The forward kinematic and inverse kinematic models of the master manipulator are respectively established by using the improved D-H parameter method and the analytical method, and the workspace of the master manipulator is verified by the Monte Carlo method, which meets its design requirement. …”
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Estimation of the coefficients of variation for inverse power Lomax distribution by Samah M. Ahmed, Abdelfattah Mustafa

“…Additionally, it is recommended to use the Markov Chain Monte Carlo (MCMC) method to calculate the Bayes estimate and generate posterior distributions. …”
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Nonlinear Augmented Proportional Navigation for Midrange Rendezvous Guidance and Performance Assessment by Weilin Wang, Xumin Song

“…The simulation results show that the accuracy of the proposed method is compatible with Monte Carlo simulation which requires extensive computational effort.…”
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Solution of the Stochastic Heat Equation with Nonlinear Losses Using Wiener-Hermite Expansion by Mohamed A. El-Beltagy, Noha A. Al-Mulla

“…The system resulting from WHEP technique is solved also analytically using the eigenfunction expansion technique. The Monte-Carlo simulations (MCS) are performed to get the statistical properties of the stochastic solution and to verify other solution techniques. …”
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RELIABILITY ANALYSIS OF REACTION FORCE DEVELOPED IN THE LUBRICATED REVOLUTE JOINT FOR A SLIDER-CRANK SYSTEM INCLUDING JOINT WITH CLEARANCE AND LUBRICATION by ZHAO Kuan, XUE He, CHEN JianJun, QIAO XinZhou

“…Then approximate function relation between random parameters and performance function is derived and the reliability of the reaction force developed in the lubricated revolute joint of the crank-slider mechanism is discussed by Monte-Carlo method. Finally,take an example to verify the feasibility and effectiveness of the proposed method.…”
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Modelling and Simulation of the Radiant Field in an Annular Heterogeneous Photoreactor Using a Four-Flux Model by O. Alvarado-Rolon, R. Natividad, R. Romero, L. Hurtado, A. Ramírez-Serrano

“…The FFM showed a good agreement with the results of Monte Carlo method (MC) and the six-flux model (SFM). Through this model, the LVREA is obtained, which is an important parameter to establish the reaction rate equation. …”
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Kinematics and spatial structure analysis of TBM gunite robot based on D–H parameter method by Lianhui Jia, Shenyao Liu, Chenxu Cao, Yehao Kang, Ying Zhu, Lijun Wang, Donglai Xu, Ruixue Cheng

“…Finally, based on the Monte Carlo random sampling method, the workspace of the robot is constructed, and its reachability and flexibility within the robot workspace are evaluated. …”
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An RBF-LOD Method for Solving Stochastic Diffusion Equations by Samaneh Mokhtari, Ali Mesforush, Reza Mokhtari, Rahman Akbari

“…To navigate the probabilistic space inherent in these equations, we employ the Monte Carlo method, providing accurate estimates for expectations and variations. …”
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Health Risk Assessment of Volatile Organic Compounds for Children in Indoor Air, Ulaanbaatar, Mongolia by Oyun-Erdene Otgonbyamba, Gantuya Ganbat, Ser-Od Khuyag, Enkhjargal Altangerel, Bilguun Ganbold, Altangadas Bayanjargal, Altangerel Bat-Erdene, Bataa Chuluunbaatar, Burmaajav Badrakh, Suvd Batbaatar

“…The probabilistic Monte Carlo simulation method was used to estimate the risk exposure of four types of VOCs (benzene, formaldehyde, toluene, and m,p-xylene) to the health of the study population. …”
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Model and Algorithm for Dependent Activity Schedule Optimization Combining with BIM by Guofeng Ma, Xiaoye Liu

“…Then, the overlap and communication strategies are decided by calculating the maximum revenue using Monte Carlo simulation and MATLAB based on overlap cost, communication cost, rework cost, and reward amount. …”
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A multi-hop D2D and social awareness based novel relay selection algorithm by Liang LI, Xinjie YANG

“…The social domain was introduced to multi-hop D2D (device-to-device) communication in cellular network scenarios, and a novel relay selection algorithm for multi-hop D2D communication under cellular network was proposed.Unlike existing relay selection algorithms, the proposed algorithm selects relays for each hop in reverse order, which reduces the signaling overhead caused by algorithm implement.Then, social domain information of mobile terminals was introduced to the algorithm and its influence on the algorithm’s performance was studied, which was found significant enough not to be overlooked hence providing useful guidance to designing algorithms in practical systems.Moreover, via extensive Monte Carlo simulations, it is discovered that the proposed algorithm outperforms the benchmarks in terms of data throughput and energy efficiency in absence of social relationship information.In a more practical implementation with social relationship information included, the proposed algorithm though naturally achieving less throughput, significantly outperforms the benchmarks in energy efficiency.…”
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The Generalization Inverse Weibull Distribution Related to X-Gamma Generator Family: Simulation and Application for Breast Cancer by R. Alshenawy

“…Moreover, four estimation methods, namely, the maximum likelihood, maximum product spacing, least squares, and weighted least squares methods, are utilized to estimate the XGAIW parameters. The Monte Carlo simulation study has been performed to assess the performance of the proposed estimation methods using some criteria. …”
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An Empirical Likelihood Ratio-Based Omnibus Test for Normality with an Adjustment for Symmetric Alternatives by Chioneso Show Marange, Yongsong Qin

“…The proposed test has good control of type I error. Monte Carlo simulations revealed that the proposed test outperformed studied classical existing tests under symmetric short-tailed alternatives. …”
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Modeling the Impact of Virtual Contact Network with Community Structure on the Epidemic Spreading by Jianlin Zhou, Haiyan Liu

“…We first use a microscopic Markov chain approach to characterize the coupled disease-awareness dynamics and then analyze the effect of different factors on the coevolution of information dissemination and epidemic spreading based on the Monte Carlo simulation. The simulation results show that promoting the dissemination of information is indeed conducive to suppressing the spread of disease, but changing the process of disease transmission has no obvious effect on the information dissemination. …”
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Improved SMC cardinality-balanced multi-Bernoulli forwardbackward smoothing track-before-detect algorithm by Jiazheng PEI, Yong HUANG, Yunlong DONG, Xiaolong CHEN

“…For the tracking problem of multiple maneuvering targets in radar observation,the sequential Monte-Carlo cardinality-balanced multi-Bernoulli track-before-detect (SMC-CBMeMBer-TBD) algorithm is inaccurate in the estimation of the number of targets and the precision of state estimation.An improved algorithm based on SMC-CBMeMBer forward backward smoothing track-before-detect algorithm was proposed.In the algorithm,the multi target particle swarm optimization (MOPSO) was added between the process of prediction and update,and the fitness function was set up based on the observation value to make the particle set move to the position of the larger posterior probability density distribution,and solve the particle poverty in the heavy sampling process.In the update step,the algorithm was used.Then the smoothing recursive method was added,and the arithmetic operation time was prolonged,but the number and the state estimation precision were improved.The simulation results show that compared with the CBMeMBer-TBD method,the proposed algorithm improves the accuracy of the estimation of the number of maneuvering targets and the accuracy of the target state estimation.…”
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A hydropower plant scheduling model considering the stochastic correlation between runoff and electricity prices by WU Ying, WANG Juefei, LI Junjie, WANG Kun, SHEN Yan, WU Yingjun

“…Second， the least-squares cross validation （LSCV） is applied to determine the optimal bandwidth parameter in kernel density estimation （KDE）， ensuring a good fit for discrete runoff and electricity price data. Next， a Copula-Monte Carlo simulation method is used to model the joint risks of runoff and electricity prices， with Latin hypercube sampling （LHS） employed to enhance computational precision. …”
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Film routes in Basilicata by Delio Colangelo

“…Matthew by Pier Paolo Pasolini to Christ stopped at Eboli by Francesco Rosi, have shown the misery and the backwardness of Basilicata, inspired by the works of some authors as Carlo Levi and Ernesto De Martino. In the last years, Basilicata has been the location of some worldwide box office hits: The Passion, Ben Hur, Wonder Woman. …”
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Effect of Rotor Faults on Wind Turbine Shutdown or Continued Operation by Dariush Biazar, Hamid Khaloozadeh, Mehdi Siahi

“…This study presents a novel evaluation of rotor fault effects on output power and measured variables in WTs using Monte Carlo simulation and sensitivity analysis. Through comprehensive simulation and numerical analysis, the faults with the greatest impact on WT performance are identified. …”
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Performance analysis of dual-hop mixed RF-FSO systems combined with NOMA. by Tran Cong Hung, Tan N Nguyen, N H K Nhan, Anh-Tu Le, Pham Ngoc Son, Thu-Ha Thi Pham, Miroslav Voznak

“…In addition, the system's performance is dependent on the parameters of the FSO channel. Finally, Monte Carlo simulations are presented to further validate our framework and findings.…”
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Statistical sampling method to verify the homogeneity of full-scale cement-solidified radioactive waste by Hyeongjin Byeon, Ugyu Jeong, Jaeyeong Park

“…Therefore, this study compared uniform, random, and quasi-Monte Carlo sampling methods to determine the most effective core position. …”
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