Joint trade-off optimization algorithm based on cooperative spectrum sensing throughput by Guo-qing JI, Gang WANG, Hong-bo ZHU

“…The achievable data throughput of the cognitive network was modeled to optimize the overhead and performance of the cooperative system thoroughly.Considering the soft data combination decision,the joint trade-off optimization of the local sampling number and cooperative user number was modeled based on the achievable data throughput.The global optimal solution was achieved with inexact line search algorithm,which is based on Armijo rule and lopsided search step technique.Consequently,the validity of the optimization model was verified both by the numerical computation and by Monte-Carlo simulation tests.The joint trade-off optimization of the sampling number and cooperative user number was achieved in cooperative sensing based on the throughput maximizing criterion.…”
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Two Kinds of Weighted Biased Estimators in Stochastic Restricted Regression Model by Chaolin Liu, Haina Jiang, Xinhui Shi, Donglin Liu

“…Under such criteria, we perform a real data example and a Monte Carlo study to illustrate theoretical results.…”
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Numerical Method for Stochastic Nonlinear Schrödinger Equation Driven by Multivariate Gaussian Measure: Algorithms and Applications by Hongling Xie

“…We apply this newly proposed method to solve both one- and two-dimensional stochastic NLS equations, providing detailed analysis and comparing the results with Monte Carlo simulation. In addition, the proposed method is applied to the stochastic Ginzburg–Landau equation. …”
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Dynamics Analysis of Locomotive Transmission System based on Romax by Zhang Fulai, Zhang Yinghui, He Weidong, Shi Xiaochun

“…From the static,modal analysis and dynamics analysis of the model,finding the causes of noise and vibration are the transmission error and the partial load in gear meshing process,which lead to large meshing impact. Using the Monte Carlo method for tooth shape optimization to reduce the transmission error,the best plan is obtained,achieving the transmission error reduced by 73% and the partial load phenomenon has improved greatly.…”
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Parametric Regression Models Using Reversed Hazard Rates by Asokan Mulayath Variyath, P. G. Sankaran

“…We assess the performance of the proposed procedure based on a large number of Monte Carlo simulations. We illustrate the proposed method using a real case example.…”
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Reducing the sign problem with line integrals by Rasmus N. Larsen

“…As a result, sampling with standard Monte-Carlo techniques becomes possible in cases that otherwise require methods taking advantage of complex analysis, such as Lefschetz-thimbles or Complex Langevin. …”
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A Stochastic Restricted Principal Components Regression Estimator in the Linear Model by Daojiang He, Yan Wu

“…Finally, we give a numerical example and a Monte Carlo study to illustrate the performance of the proposed estimator.…”
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Small Sample Test Statistic Method for the Gear Fatigue Characteristic by Ma Yongjie, Cheng Guang, Liu Huan

“…The elevation and subsidence method is used in the long life,the bending fatigue life of the gear is obtained. The Monte- Carlo simulation is used to calculate ranks. On the basis of test data,the Weibull parameters and complete S- N curve are worked out according to the principle of statistic. …”
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ANALYSIS AND OPTIMIZATION OF WORKSPACE FLEXIBILITY OF WELDING ROBOT by GAO Lu, SUN Bo, FU BaoDing

“…Firstly,the D-H method is used to model the kinematics of the robot,and the working space of the robot is solved by Monte Carlo method. Then,by means of the concept of service ball,a calculating method of flexibility suitable for the welding part is proposed,and the flexibility in the working space of the robot is solved. …”
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Kibria–Lukman Hybrid Estimator for Handling Multicollinearity in Poisson Regression Model: Method and Application by Hleil Alrweili

“…We evaluate the performance of our estimator through extensive Monte Carlo simulations, assessing its accuracy using mean absolute percentage errors (MAPE) and MSE. …”
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Superconductivity, Antiferromagnetism, and Kinetic Correlation in Strongly Correlated Electron Systems by Takashi Yanagisawa

“…We investigate the ground state of two-dimensional Hubbard model on the basis of the variational Monte Carlo method. We use wave functions that include kinetic correlation and doublon-holon correlation beyond the Gutzwiller ansatz. …”
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Simulation of Proton Beam Effects in Thin Insulating Films by Ljubinko Timotijevic, Irfan Fetahovic, Djordje Lazarevic, Milos Vujisic

“…The passage of proton beams through ultrathin layers of these materials has been modeled by Monte Carlo simulations of particle transport. Parameters that have been varied in simulations include proton energy and insulating layer thickness. …”
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A Novel Two-Terminal Reliability Analysis for MANET by Xibin Zhao, Zhiyang You, Hai Wan

“…The node mobility effect and the node reliability based on a real MANET platform are modeled and analyzed. An effective Monte Carlo method for reliability analysis is proposed. …”
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Dynamical Analysis of Dual Product Information Diffusion considering Preference in Complex Networks by Liang’an Huo, Xiaoxiao Xie

“…The dynamic of the model was analyzed by the analysis of Markov chains. According to the Monte Carlo simulation mechanism, the critical threshold of product information was obtained. …”
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Znaczenie płatności bezpośrednich jako czynnika stabilizującego dochód rolniczy na przykładzie wybranych typów gospodarstw by Edward Majewski, Adam Wąs

“…Analizę przeprowadzono za pomocą symulacji metodą Monte Carlo z wykorzystaniem modelu symulacyjnego gospodarstwa. …”
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Analysis of Execution Mechanism of Scorpion Like Temperature Measuring Robot for Coke Oven by Yaxiong Ren, Qiang Gao, Haodong Zhang, Jiaolong Xue, Hongwei Yan

“…The workspace verification of the cover lifting mechanism can realize the workspace obtained by Monte Carlo， which lays a foundation for actual temperature measurement.…”
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M-estimate like correlation based algorithm for direction of arrival estimation under alpha-stable environments by Jin-feng ZHANG, Tian-shuang QIU, Ai-min SONG, Hong TANG, Na WANG

“…A novel class of bounded statistics,namely,the M-estimate like correlation (MELC) for independently identi-cal distributed symmetric alpha-stable (SαS) random variables was defined.Based on the MELC matrix for the array sensor outputs,a new algorithm for direction of arrival (DOA) estimation in the presence of complex SαS noise was proposed.The comprehensive Monte-Carlo simulation results show that the MELC-MUSIC algorithm not only outper-forms the fractional lower order statistics (FLOS) based MUSIC algorithms under low SNR conditions and multi-source signals environment,but also is robust with circular and noncircular signals.…”
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STATISTICAL MODEL UPDATING AND STRUCTURAL PROBABILISTIC DAMAGE IDENTIFICATION BASED ON BAYESIAN METHOD by GAN Lu, CHEN Hui

“…Firstly, an objective function based on the measured frequency and mode shapes was established, and then the Markov chain Monte Carlo method with delayed rejection was used for stochastics sampling, and the posterior probabilities of structural parameters in intact and damage states were obtained. …”
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Modeling of Transistor's Tracking Behavior in Compact Models by Ning Lu

“…We present a novel method to model the tracking behavior of semiconductor transistors undergoing across-chip variations in a compact Monte Carlo model for SPICE simulations and show an enablement of simultaneous 𝑁(𝑁−1)/2 tracking relations among 𝑁 transistors on a chip at any poly density, any gate pitch, and any physical location for the first time. …”
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Partial Relay Selection with Feedback Delay and Cochannel Interference: Performance Analysis and Power Optimization by Xuanxuan Tang, Weifeng Mou, Fang Fang, Yueming Cai, Weiwei Yang, Tao Zhang

“…Further, based on the asymptotic analysis we propose a power allocation scheme, which can lead to SNR performance gains of more than 1 dB compared to the equal power allocation scheme. Finally, Monte-Carlo simulation results are presented to verify the validity of our theoretical analysis.…”
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