Interference analysis between IMT-2020 (5G) system and broadcasting satellite service system in the band of 24.65～25.25 GHz by Rui HAN, Lei ZHANG, Wei LI, Shanshan LIU, Guan WANG, Chunhua LIU

“…Based on the Agenda Item 1.13 of WRC-19 and requirements for domestic compatibility analysis of 5G candidate frequency bands above 6 GHz,the interference from IMT-2020 system (5G) to broadcasting satellite service system in 24.65～25.25 GHz band was studied.The Monte Carlo simulation method was used to assess the aggregate interference from IMT base station (BS) to the up-link of feeder link of broadcasting satellite where the geostationary orbit satellite at 59℃,85℃ and 113℃ longitude.The aggregate interference level from 5G system to the two kinds of carriers of the satellite system with different orbits was evaluated via simulation analysis.Research results show that the IMT-2020 (5G) system will not cause harmful interference for broadcasting satellite services system.The results can provide technology basis for future planning of IMT-2020 (5G) system in millimeter wave and protecting of broadcasting satellite system.…”
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Study on Concentrating Characteristics of a Solar Parabolic Dish Concentrator within High Radiation Flux by Qianjun Mao, Liya Zhang, Hongjun Wu

“…In this paper, radiation flux in the focal plane and the receiver with three focal lengths has been investigated based on Monte Carlo ray-tracing method. At the same time, based on the equal area-height and equal area-diameter methods to design four different shape receivers and numerical simulation of radiation flux distribution characteristics have also been investigated. …”
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Risk Measurement for Portfolio Credit Risk Based on a Mixed Poisson Model by Rongda Chen, Huanhuan Yu

“…Finally, given the values of coefficients in this model calculated by a nonlinear estimation, Monte Carlo technique simulates the progress of loss occurrence. …”
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Step-by-step classification detection algorithm of SPPM based on K-means clustering by Huiqin WANG, Wenbin HOU, Qingbin PENG, Minghua CAO, Rui HUANG, Ling LIU

“…In view of the high computational complexity in spatial pulse position modulation systems when using maximum likelihood detection algorithm, a step-by-step classification detection algorithm based on K-means clustering was proposed according to the characteristics of signal matrix with spatial pulse position modulation.The signal vector detection algorithm was utilized to detect the index of light source in the training samples.The on K-means clustering algorithm was utilized to acquire the mapping rule between centroid of samples and modulated symbol by offline training.Subsequently, online detection of modulated symbols was achieved based on the mapping rule, and then the index of light sources was detected by exhaustive search.In addition, Monte Carlo method was used to investigate the effects of key parameters such as the number of clusters and initialization times on the system bit error rate (BER) performance.Simulation results demonstrate that the proposed algorithm can achieve an approximate BER performance as the maximum likelihood algorithm on the basis of greatly reducing the computational complexity.Compared with the linear decoding algorithms, the proposed algorithm is also applicable to scenarios where the number of detectors is less than the number of light sources.…”
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Markov-bridge generation of transition paths and its application to cell-fate choice by Guillaume Le Treut, Sarah Ancheta, Greg Huber, Henri Orland, David Yllanes

“…This allows us to generate transition paths which would otherwise be obtained at a high computational cost with standard kinetic Monte Carlo methods because commitment to a transition path is essentially a rare event. …”
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Headway Optimisation for Metro Lines Based on Timetable Simulation and Simulated Annealing by Yong Cui, Qing Yu, Chenyang Wang

“…Several different optimisation algorithms, including grid search, Monte Carlo, and simulated annealing, are developed and compared. …”
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Fragility analysis of concrete elevated water tanks under seismic loads by Amar Aliche, Hocine Hammoum, Karima Bouzelha, Younes Aoues, Ouali Amiri, Youcef Mehani

“…In this study, a probabilistic approach based on Monte Carlo simulations is used to analyze the reliability of elevated water tanks submitted to hazard seismic loading. …”
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Contributions of Jets in Net Charge Fluctuations from the Beam Energy Scan at RHIC and LHC by Bushra Ali, Shaista Khan, Shakeel Ahmad

“…Dynamical net charge fluctuations have been studied in ultrarelativistic heavy-ion collisions from the beam energy scan at RHIC and LHC energies by carrying out the hadronic model simulation. Monte Carlo model, HIJING, is used to generate events in two different modes, HIJING-default with jet quenching switched off and jet/minijet production switched off. …”
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3D Yang-Mills confining properties from a non-Abelian ensemble perspective by D. R. Junior, L. E. Oxman, G. M. Simões

“…These behaviors reproduce those derived from Monte Carlo simulations in SU(N) 3D Yang-Mills theory, which lacked understanding in the framework of confinement as due to percolating magnetic defects.…”
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PHYSICAL LAYER SECRECY ON WIRELESS NETWORK by Trương Tiến Vũ, Trần Đức Dũng, Hà Đắc Bình, Võ Nhân Văn

“…We evaluate, analyse secrecy capacity, existence probability of secrecy capacity and secrecy outage probability and verify the numerical results with Monte-Carlo simulation results. Our results have presented the utility of using physical layer secrecy to enhance the secrecy performance of wireless networks.…”
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Mechanical Analysis of a 3-DOF Under-constrained Parallel Robot with Variable Cable Mast Heights by Zhao Tao, Zheng Yi, Ding Xiaojun, Li Keqiang, Yang Jubiao, Zhu Yang

“…The static equilibrium workspace (SEW) of the robot is studied using the Monte-Carlo method. Given the motion trajectory of the end-effector, the expected three cable lengths are obtained through the inverse kinematics model of the robot. …”
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On the role of soft and non-perturbative gluons in collinear parton densities and parton shower event generators by M. Mendizabal, F. Guzman, H. Jung, S. Taheri Monfared

“…Abstract The Parton Branching method offers a Monte Carlo solution to the DGLAP evolution equations by incorporating Sudakov form factors. …”
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Modified Chen distribution: Properties, estimation, and applications in reliability analysis by M. G. M. Ghazal

“…Bayesian estimates of the model parameters, along with the survival and hazard functions and their corresponding credible intervals, were derived via the Markov chain Monte Carlo method under balanced squared error loss, balanced linear-exponential loss, and balanced general entropy loss. …”
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Underlying-event studies with strange hadrons in pp collisions at $$\sqrt{s} = 13$$ s = 13 TeV with the ATLAS detector by ATLAS Collaboration

“…This disagrees with the expectations of some of the considered Monte Carlo models.…”
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Computational Method for Global Sensitivity Analysis of Reactor Neutronic Parameters by Bolade A. Adetula, Pavel M. Bokov

“…Numerical techniques specifically suited to the evaluation of multidimensional integrals, namely, Monte Carlo and sparse grids methods, are used, and their efficiency is compared. …”
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On the Effect of Estimation Error for the Risk-Adjusted Charts by Sajid Ali, Naila Altaf, Ismail Shah, Lichen Wang, Syed Muhammad Muslim Raza

“…To compute the average run length (ARL), Markov Chain Monte Carlo simulations are conducted. Furthermore, a bootstrap method is also used to compute the ARL assuming different Phase-I data sets to minimize the effect of estimation error on risk-adjusted control charts. …”
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Irreversible Adsorption of Particles on Surface Features of a Circular and Rectangular Shape by Zbigniew Adamczyk, Jakub Barbasz

“…Numerical simulation of the Monte Carlo type enabled the particle configurations to be determined, together with their density distribution (coverage) and the saturation coverage for various collectors to particle size ratio L̅ = L/2a and collector width to particle size ratio b̅ = b/2a. …”
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Generalized functional varying-index coefficient model for dynamic synergistic gene-environment interactions with binary longitudinal traits. by Jingyi Zhang, Honglang Wang, Yuehua Cui

“…A hypothesis testing procedure is proposed to evaluate the significance of the nonparametric index functions. Extensive Monte Carlo simulations are conducted to evaluate the performance of the method under finite samples. …”
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X-ray diffraction study of structure of CaO-Al2O3-SiO2 ternary compounds in molten and crystalline states by Sokol’skii V.E., Pruttskov D.V., Yakovenko O.M., Kazimirov V.P., Roik O.S., Golovataya N.V., Sokolsky G.V.

“…The partial structural parameters of the short-range order of the melt were reconstructed using Reverse Monte Carlo simulations.…”
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PyPortOptimization: A portfolio optimization pipeline leveraging multiple expected return methods, risk models, and post-optimization allocation techniques by Rushikesh Nakhate, Harikrishnan Ramachandran, Amay Mahajan

“…Users can customize the pipeline at every step, from data acquisition to post-processing of portfolio weights, using their own methods or selecting from predefined options. Built-in Monte Carlo simulations help assess portfolio robustness, while performance metrics such as return, risk, and Sharpe ratio are calculated to evaluate optimization results. • The study compares various configured methods for each step of the portfolio optimization pipeline, including expected returns, risk-modeling and optimization techniques. • Custom Designed Allocator outperformed. …”
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