Design and Analysis of a Hybrid Exoskeleton for Upper Limb Rehabilitation by Wang Zheng, Liu Fanghua, Shao Jiawei, Wu Wanyi, Di Cheng

“…The coordinate system is established according to the hybrid exoskeleton mechanism, the kinematic model of the rigid body part of the mechanism is established by using the vector loop method, and the working space nephogram of the mechanism is drawn by Monte Carlo method to verify that it meets the space requirements for rehabilitation training. …”
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Statistical Analysis of Joint Type-I Generalized Hybrid Censoring Data from Burr XII Lifetime Distributions by Mahmoud Ragab, Aisha Fayomi, Ali Algarni, G. A. Abd-Elmougod, Neveen Sayed-Ahmed, S. M. Abo-Dahab, S. Abdel-Khalek

“…The theoretical results are discussed and assessed through data analysis and Monte Carlo simulation study. Finally, we reported some brief comments obtained from numerical computation.…”
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Constraining the Effective Mass of Majorana Neutrino with Sterile Neutrino Mass for Inverted Ordering Spectrum by Jaydip Singh

“…For contrasting this range, I have worked with an extra mass state, ν4, and its effect on the observable with various combinations of CP violation Majorana phases by taking into account the updated data on the neutrino oscillation parameters for IO case. Based on the Monte Carlo technique, a parameter region is obtained using the fourth Majorana-Dirac phase of sterile parameters that lead to an effective mass below 0.01 eV or .05 eV for inverted mass ordering case which is planned to be observed in the near future experiment.…”
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The Partial Power Control Algorithm of Underwater Acoustic Sensor Networks Based on Outage Probability Minimization by Yun Li, Yishan Su, Zhigang Jin, Sumit Chakravarty

“…The proposed algorithm captures transmission loss (TL) using the Markov chain Monte Carlo (MCMC) method and estimates CSI in the next moment using AR prediction. …”
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Parameter Identification of the 2-Chlorophenol Oxidation Model Using Improved Differential Search Algorithm by Guang-zhou Chen, Jia-quan Wang, Ru-zhong Li

“…This paper firstly carried out the sensitivity analysis of the 2-chlorophenol oxidation model in supercritical water using the Monte Carlo method. Then, to address the nonlinearity of the model, two improved differential search (DS) algorithms were proposed to carry out the parameter identification of the model. …”
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An Empirical Study on Relationship between Residents’ Disposable Income and CPI Based on TVECM: Application of Bootstrap SupLM Testing for Threshold Cointegration by Jungang Du

“…We discuss how the residual bootstrap can be used to calculate asymptotic critical values and p values, investigate the size and power of the SupLM test using Monte Carlo simulation, and find that the test works quite well. …”
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Applying Energy-Dispersive X-Ray Fluorescence Analysis to Detect Tungsten Inclusions in Nuclear Fuel Rod End Plug TIG Welds by Runqiu Gu, Jianfeng Cheng, Wanchang Lai, Guangxi Wang

“…This study proposes a new method of detecting tungsten inclusions in nuclear fuel rod upper-end plug welds using energy-dispersive X-ray fluorescence (EDXRF) analysis. The Monte Carlo simulation method was used to simulate the process of detecting tungsten inclusions in nuclear fuel rod upper-end plug welds by the EDXRF. …”
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Dual-Polarized Planar Phased Array Analysis for Meteorological Applications by Chen Pang, Peter Hoogeboom, François Le Chevalier, Herman W. J. Russchenberg, Jian Dong, Tao Wang, Xuesong Wang

“…As the STSR mode with orthogonal waveforms is similar to the ATSR mode, the analysis is mainly focused on the ATSR mode and the impacts of the bias sources on the measurement of polarimetric variables are investigated through Monte Carlo simulations. Some insights of the accuracy requirements are obtained and summarized.…”
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Combining Deterministic and Probabilistic Approaches in an Improved Volumetric Model With the Aim to Reduce Geological Uncertainties for Accurate Hydrocarbon Reserve Estimation: Ca... by Bawane Godwe Justine, Mambou Ngueyep Luc Leroy, Tchotang Theodore, Eze Eze Jordan

“…The application and validation of the proposed model were made through Interactive Petrophysics, Petrel software, and Monte Carlo simulation on Minitab Workspace. The results obtained by a deterministic approach on the investigated area of 2000 m2 give a total estimated quantity of oil in place of 11897.67 MMbbl, a total estimated quantity of gas in place of 27.79 Bcf, a total estimated quantity of recoverable oil of 3606.28 MMbbl, and a total estimated quantity of recoverable gas of 19.52 Bcf. …”
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Urban Flooding Model SWMM Parameter Sensitivity Analysis under Different Catchment Areas by HE Peiying, ZHENG Yanhui, HE Yanhu

“…Taking two regions with different catchment areas in Guangzhou as the research objects, the Monte Carlo Sobol index method was used to analyze the parameter sensitivity of different results (total runoff, peak flow, peak time) with different catchment areas. …”
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Impact of Randomized Soil Properties and Rock Motion Intensities on Ground Motion by Ayele Chala, Richard Ray

“…This study presents the influence of variability in shear wave velocity (Vs) and amplitude of input rock motion on seismic site response analysis. Monte Carlo simulations were employed to randomize the Vs profile for different scenarios. …”
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A Simple Formula for Local Burnup and Isotope Distributions Based on Approximately Constant Relative Reaction Rate by Cenxi Yuan, Xuming Wang, Shengli Chen

“…Starting from an initial burnup level, the parameters of the formula are fitted to the reaction rates given by a Monte Carlo (MC) calculation. Then the present formula independently gives very similar results to the MC calculation from the starting to high burnup level but takes just a few minutes. …”
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An Experimental Analysis of Hierarchical Rail Traffic and Train Control in a Stochastic Environment by Pengling Wang, Annik Jeiziner, Xiaojie Luan, Valerio De Martinis, Francesco Corman

“…The investigation refers to different disturbed traffic scenarios obtained by sampling train entrance delays and dwell times within a typical Monte Carlo scheme. Results obtained for the Dutch railway corridor Utrecht–Den Bosch prove the value of the approach. …”
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Bayesian Probabilistic Framework for Damage Identification of Steel Truss Bridges under Joint Uncertainties by Wei Zheng, Yi Yu

“…A new sampling method of the transitional Markov chain Monte Carlo is incorporated with the structure’s finite element model for implementing the approach to damage identification of truss structures. …”
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Bayesian Estimation of Ammunition Demand Based on Multinomial Distribution by Kang Li, Xian-ming Shi, Juan Li, Mei Zhao, Chunhua Zeng

“…Bayesian inference is made through the Markov chain Monte Carlo method based on Gibbs sampling, and ammunition demand at different damage grades is obtained by referring to cumulative damage probability. …”
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Heterogeneous UAV Swarm Collaborative Search Mission Path Optimization Scheme for Dynamic Targets by Kaixin Cheng, Tao Hu, Di Wu, Tingli Li, Shu Wang, Kaiyue Liu, Zhifu Tian, Dong Yi

“…Finally, to improve the global searching capability of a UAV, an improved path optimization algorithm PSO-Rolling Horizon Control (PSO-RHC) is designed. Multiple Monte Carlo simulations are performed for three time-sensitive moving target types and three constraint types. …”
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Advanced ellipse overlap computation based on segment area of circles by Minhye Kim, Yongkuk Kim, Giphil Cho

“…We compared our method with the traditional Monte Carlo method and found that when the relative error is 0.0245, our method operates approximately 6 times faster. …”
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Ultrasound-guided photoacoustic image annotation toolkit in MATLAB (PHANTOM) for preclinical applications by Allison Sweeney, Aayush Arora, Skye A. Edwards, Srivalleesha Mallidi

“…We modelled the light source configuration with Monte Carlo eXtreme and utilized 3D segmented tissues from ultrasound to generate fluence maps to depth compensate PA images. …”
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Study of charged Lepton Flavor Violation in electron muon interactions by Ran Ding, Jingshu Li, Meng Lu, Zhengyun You, Zijian Wang, Qiang Li

“…We investigate the possible charged Lepton Flavor Violation (cLFV) processes mediated by an extra massive neutral gauge boson Z′ in electron muon interactions, either at a proposed electron muon collider or in a fixed target experiment with high-energy muon beam hitting electrons in the target. Based on Monte Carlo calculations and fast detector simulations, we study in detail the signal and possible backgrounds, giving the sensitivity results of cLFV signals at the 90% confidence level. …”
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Outage performance analysis of wireless powered railway Internet of things by Jiaxing MA, Ke XIONG, Yu ZHANG, Zhangdui ZHONG, Qiang NI

“…,the wireless energy collection was applied to railway scenes,providing sufficient and stable energy for the energy-constrained wireless equipment,thus solving the equipment supply problems in traditional railways.Considering that the source node and the relay node in the network were energy limited nodes,and the energy of the information transmission came from the radio frequency signal transmitted from the PB deployed on the train.The source node and the relay node collected energy from the PB,and the source node sent information to the relay node by using the collected energy,and then the relay node forwarded the information received to the destination node.The closed-form expressions of the network end-to-end outage probability and the throughput were derived.The analytical results were demonstrated by Monte Carlo simulation.And based on this analysis,the impact of the ratio of transmitting power of the PB to noise,the Rician K-factor,the time switching factor,transmission rate and relative position on the end-to-end outage probability and throughput were studied.When the train is in the middle of the source node and the relay node,the system can obtain better outage and throughput performance.…”
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