On Particle Swarm Optimization for MIMO Channel Estimation by Christopher Knievel, Peter Adam Hoeher

“…A detailed discussion about the complexity of the PSO algorithm and a comparison to a conventional minimum mean squared error (MMSE) estimator are given. Furthermore, Monte Carlo simulations are provided to illustrate the MSE performance compared to an MMSE estimator.…”
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Analysis and Optimization on Transmission Accuracy of Shoulder Joint Reducer for an Upper Limb Rehabilitation Robot by Zou Shuaidong, Wang Guangjian, Xie Guanghui, Hou Jingming, Yang Renqiang, Sun Fanwei

“…From the perspective of statistics, Monte Carlo method is used to analyze the effects of eccentricity error and initial phase on the transmission accuracy of the shoulder joint of upper limb rehabilitation robots. …”
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Importance of Distribution Type on Bearing Capacity of an Embedded Foundation in Spatially Varying Soils by Jiwei Han, Xiaoming Liu, Yongxin Wu, Xuhui Zhou

“…An embedded foundation buried into the soil to two times of width is presented to investigate the influence of spatially variable undrained shear strength on bearing capacity. Firstly, Monte Carlo simulations are carried out to discuss the effect of distribution type, nonstationary gradient parameter, and horizontal autocorrelation length on the bearing capacity from the standpoint of mean value and standard deviation. …”
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Outage performance of SWIPT-NOMA-CR network with imperfect SIC and CSI by Zhuhua MA, Liping LUO

“…For the cognitive relay network based on simultaneous wireless information and power transfer (SWIPT) and non-orthogonal multiple access (NOMA), which is termed as SWIPT-NOMA-CR network, considering the practical situation of imperfect successive interference cancellation (SIC) and channel state information (CSI), the outage performance of secondary users was studied by using three relay transmission schemes including ideal, time switching (TS) and power splitting (PS).The analytical expressions of outage probability were derived for the secondary users, and the theoretical derivations were validated by Monte Carlo simulations.The results show that the outage performance of secondary users is impaired due to the imperfect SIC and CSI.Compared with the imperfect CSI, the imperfect SIC causes more severe loss to the outage performance of the system.Moreover, the outage probability of PS relay transmission scheme is lower than that of TS scheme.When the imperfect SIC and CSI conditions are changed, the outage probability gap with PS scheme is less than that with TS scheme, which indicates that the reliability of PS relay transmission scheme is superior to that of TS scheme.…”
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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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Double extreme-cum-median ranked set sampling. by Muhammad Zubair, Seyab Yasin, Afrah Al-Bossly, Asad Ali, Fathia Moh Al Samman, Mohammed M A Almazah, Kanwal Iqbal

“…The real-life data results align well with the Monte Carlo simulation outcomes. Due to its flexible ranking options, the newly proposed technique is suggested for heterogeneous and non-normal populations.…”
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Research on Performance of Fiber-Based Multiple Apertures Receiver System with PPM Modulation by Kangning LI, Xu FENG, Jianwen GAO, Jing Ma

“…The performance of fi ber-based FSO with multiple apertures receiver system was studied for pulse position modulation (PPM) .Expressions of PPM modulated signal-to-noise ratio (SNR) and bit-error rate (BER) for fi ber-based FSO multiple apertures receiver system were presented based on the probability density function of Gamma-Gamma intencity distribution and non–central chisquare fi ber coupling effi ciency distribution under atmospheric infl uence.Selection combining (SC), equal gain combining (EGC) and maximum ratio combining (MRC) were considered to be three signal combining methods for multiple apertures receiver system.The BER performance of 4PPM modulted SC, EGC and MRC fi ber-based multiple apertures receiver system and single aperture receiver system with the same total aperture area were comparative analyzed by Monte Carlo simulation.The BER performance of fi ber-based multiple apertures receiver systems in 4PPM and 8PPM modulation modes were directly compared for diff erent combining methods.…”
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Optimization of Trajectory Correction Scheme for Guided Mortar Projectiles by Yongwei Zhang, Min Gao, Suochang Yang, Dan Fang

“…The result of an example trajectory and Monte Carlo simulations with the predictive guidance law and the trajectory tracking guidance law testifies the effectiveness of the optimized trajectory correction scheme.…”
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Valuing Multirisk Catastrophe Reinsurance Based on the Cox–Ingersoll–Ross (CIR) Model by Wen Chao

“…Finally, the value of catastrophe reinsurance is derived and a sensitivity analysis of how stochastic interest rates and catastrophe dependence affect the values is performed via Monte Carlo simulations. The results obtained show that the catastrophe reinsurance value is the inverse relation between initial value of interest rate and average interest rate in the long run. …”
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Quantification of Limit Cycle Oscillations in Nonlinear Aeroelastic Systems with Stochastic Parameters by C. C. Cui, J. K. Liu, Y. M. Chen

“…Based on this feature, the statistics and distribution functions of the LCO amplitude are obtained semianalytically, which are validated by Monte Carlo simulations. In addition, we discuss the possible influences of the nonlinear stiffness on flutter suppression of the airfoil subjected to Gaussian white noises. …”
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UNCERTAINTY EVALUATION METHOD FOR NONLINEAR SYSTEM TEST BASED ON POLYNOMIAL CHAOS EXPANSION by YU HuiJie, ZHU YueChen, WANG HaiHua, WANG ShenLong, XU ShiPeng, DING XiaoHong

“…The evaluation method is compared with the method specified in the national standard Monte Carlo Method for Evaluation of Measurement Uncertainty through Ishigami test model. …”
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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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Multiple-Model Cardinality Balanced Multitarget Multi-Bernoulli Filter for Tracking Maneuvering Targets by Xianghui Yuan, Feng Lian, Chongzhao Han

“…By integrating the cardinality balanced multitarget multi-Bernoulli (CBMeMBer) filter with the interacting multiple models (IMM) algorithm, an MM-CBMeMBer filter is proposed in this paper for tracking multiple maneuvering targets in clutter. The sequential Monte Carlo (SMC) method is used to implement the filter for generic multi-target models and the Gaussian mixture (GM) method is used to implement the filter for linear-Gaussian multi-target models. …”
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Evaluating the Dynamic Response of the Bridge-Vehicle System considering Random Road Roughness Based on the Moment Method by Fan Feng, Fanglin Huang, Weibin Wen, Zhe Liu, Xiang Liu

“…The proposed method has higher accuracy and efficiency than the Monte Carlo simulation (MCS) calculation method. Subsequently, the influences of vehicle speed, roughness grade, and bridge span on the impact factor (IMF) were analyzed. …”
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CREEP RELIABILITY ANALYSIS OF TURBINE BLISK BASED ON DUAL RESPONSE SURFACE METHOD by ZHANG ChunYi, WANG AiHua, SUN Tian, JING HuiZhe, LI ChengWei

“…The comprehensive reliability analysis of the blisk was completed by using Monte Carlo method with linkage sampling of dual response surface model. …”
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Influential Node Control Strategy for Opinion Evolution on Social Networks by Cheng Ju, Jinde Cao, Weiqi Zhang, Mengxin Ji

“…It is shown via using Monte Carlo simulations that our new model shows different invulnerability with traditional model. …”
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Marshall–Olkin Alpha Power Weibull Distribution: Different Methods of Estimation Based on Type-I and Type-II Censoring by Ehab M. Almetwally, Mohamed A. H. Sabry, Randa Alharbi, Dalia Alnagar, Sh. A. M. Mubarak, E. H. Hafez

“…Numerical analysis using real data sets and Monte Carlo simulation are accomplished to compare various estimation methods. …”
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Replication, a Hallmark of Good Science: Unraveling the Factors That Predict Replication Success by Grant, Malcolm, Snook, Brent, Button, Cathryn

“…Considerable discussion in recent years has focused on failures to replicate findings in the psychological literature. In a Monte Carlo simulation of the research process, we examined several characteristics of research studies that might predict replication success (i.e., when both studies show similar effect sizes), and when estimated effect sizes reflect true effects. …”
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Reliable Service Execution Based on Probabilistic Moving Prediction in Mobile Wireless Sensor Network by Haiyang Hu, Junfeng Zhang, Hua Hu

“…By collaborating with each other，nodes in mobile wireless sensor network（MWSN）can filter，calculate and composite the data so as to provide it in forms of services to different users.However，due to the uncertain moving behavior and the limited wireless transmission，executing services in MWSN has to consider the time needed in nodes executing their services，and the physical region in which two nodes can communicate with each other by wireless channel.Probabilistic methods were used to define and predict the uncertain moving behavior of each node，and then the reliability was measured that two nodes can successfully communicate with each other under their wireless transmission range during a certain time period in the future.An approximate approach based on Monte Carlo simulation was also given to calculate nodes’ motions and the reliabilities of their successful communications.By consider the thresholds of execution time and the reliabilities of nodes’ successful communications，two algorithms were given to make the scheme of selecting nodes executing a group of services provided by the users，one using the approach of completely searching and one adopting the Pareto-dominated local k-th optimized method.Finally，experimented were conducted to evaluate our methods.…”
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Stability Analysis of Downstream Dam Expansion Tailings Pond by Jiaxu Jin, Hongyue Zhang, Liang Xu, Kelin Zhou, Xiangfeng Lv

“…The results reveal that throughout the tailings accumulation process in the new reservoir, the tailings will build a back pressure slope at the original reservoir’s initial dam, which can considerably improve the original reservoir’s dynamic and static stability. The Monte Carlo method clearly outperforms older methods for tailing pond stability analysis. …”
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