Three-dimensional localization under severely obstructed NLOS environment by Zhu XIAO, Jie CHEN, Dong WANG, Xiao-hong LI, Ren-fa LI

“…In the severely obstructed NLOS(non-line-of-sight)environment,obstacles between the UN(unknown node)and RS(reference station)made the DP(direct path)undetectable.It greatly restricted the application of wireless localization method.A three-dimensional localization scheme,which utilized the distance and orientation information of single-bounce signal,was proposed to evade the DP blocking effect in three-dimensional NLOS environment.Within the proposed localization scheme,three-dimensional spatial location relationship among the RS,UN and scatterers was proven.Anoptimization algorithm based on least mean square was proposed and the mathematical solution to the position relationship was derived.Furthermore,the performance of algorithm is studied by using RMSE(root mean-square error)analysis.Through Monte-Carlo simulations,how distance and orientation deviation of three-dimensional localization frame affect performance of algorithms is examined.It is also demonstrated that the analytical results closely match the simulations,which verifies the effectiveness of the proposed three-dimensional NLOS localization algorithm.…”
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LED Lighting System Reliability Modeling and Inference via Random Effects Gamma Process and Copula Function by Huibing Hao, Chun Su, Chunping Li

“…Considering the model is so complicated and analytically intractable, the Markov chain Monte Carlo (MCMC) method is used to estimate the unknown parameters. …”
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Artificial intelligence in the service of entrepreneurial finance: knowledge structure and the foundational algorithmic paradigm by Robert Kudelić, Tamara Šmaguc, Sherry Robinson

“…Specifically, we present the foundational paradigm and a bespoke demonstration of the Monte Carlo randomized algorithm.…”
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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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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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Comparison of Different Confidence Intervals under Type-I Censoring Scheme by Ali Algarni, Abdullah M. Almarashi, Debasis Kundu, G. A. Abd-Elmougod, Sayed Abdel-Khalek

“…Under the Bayesian approach, the unknown parameter is estimated and the corresponding credible interval is obtained considering the prior information formulated with the inverted gamma distribution. The Monte Carlo simulation study is used to compare different methods. …”
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Outage performance of multi-RIS-assisted NOMA system with imperfect serial interference cancellation by Jiaqing QIN, Liping LUO, Jing ZHOU

“…Considering the practical communication environments, the outage performance and the throughput were investigated for multiple reconfigurable intelligent surfaces (RIS) assisted non-orthogonal multiple access (NOMA) system with imperfect serial interference cancellation (SIC).The channel coefficients of the RIS-assisted NOMA system including the direct and the reflecting paths were approximated by Gamma distribution.An approximate closed-form expressions of outage probability were derived and validated through Monte Carlo simulations.The study investigated the relationship between the outage performance and system parameters, including the impact of imperfect SIC, the number of RIS and the number of reflecting units.The simulation results demonstrate that, compared with the single RIS-assisted NOMA and the traditional NOMA system, the multi-RIS-assisted system achieves a 14.2 dBm gain in signal-to-noise ratio (SNR) for a given outage probability.Thus, employing multiple RISs can improve the outage performance and the system throughput effectively, thereby compensating for the performance degradation caused by imperfect SIC.…”
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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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Observation of 1/3 fractional quantum Hall physics in balanced large angle twisted bilayer graphene by Dohun Kim, Seyoung Jin, Takashi Taniguchi, Kenji Watanabe, Jurgen H. Smet, Gil Young Cho, Youngwook Kim

“…Here we report the observation of fractional quantum Hall physics at 1/3 total filling for balanced layer population in this system. Monte Carlo simulations support that the ground state is also an excitonic superfluid but the excitons are composed of fractional rather than elementary charges. …”
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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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Within‐chain parallelization—Giving Stan Jet Fuel for population modeling in pharmacometrics by Casey Davis, Pavan Vaddady

“…To perform a Bayesian data analysis, most models in pharmacometrics require Markov Chain Monte Carlo (MCMC) methods to sample from the posterior distribution. …”
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Graph-Based Node Finding in Big Complex Contextual Social Graphs by Keshou Wu, Guanfeng Liu, Junwen Lu

“…Targeting this challenging problem, we propose a recurrent neural network- (RNN-) based Monte Carlo Tree Search algorithm (RN-MCTS), which automatically balances exploring new possible matches and extending existing matches. …”
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RELIABILITY ANALYSIS ON HYBRID SURROGATE MODEL OF RADIAL BASIS FUNCTION AND SPARSE POLYNOMIAL CHAOS EXPANSION (MT) by ZHAO ZiDa, ZHANG DeQuan, OUYANG Heng, WU ZePing

“…Subsequently, the reliability analysis of complex structures is carried out based on Monte Carlo simulation（MCS）. In this work, three simulation cases were implemented to compare the performance of the proposed method with the traditional RBF model and augmented RBF model. …”
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Sensitivity Analysis and Optimization for Selected Supply Chain Management Issues in the Company – Using System Dynamics and Vensim by Elżbieta Kasperska, Elwira Mateja-Losa, Rafał Marjasz

“…The visualization called “confidence bounds“ is used, to show the behaviour of chosen variables over a period of time. The Monte-Carlo method is applied for sampling a set of numbers from within bounded domains (distribution for each searching parameters is specified). …”
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Stochastic Generation of Subsurface Profiles for Realistic Simulation of Through-the-Earth Communication Systems by Josua Daniel Pena Carreno, A. Judson De Barros Braga

“…An algorithm based on the Monte Carlo method is presented and uses the Finite Element Method (FEM) to compute field propagation through each random structure. …”
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Outage performance of multi-relay collaborative NOMA systems supporting multiple multicast services by Yifei CHU, Xinjie YANG

“…A cooperative non-orthogonal multiple access (NOMA) system was proposed to support unicast primary user and multiple multicast services based on multiple relays strategy.Under the Rayleigh channel, the secondary user with the best channel condition from each multicast group was selected as full-duplex relay to decode and forward the unicast primary user’s signal, and the primary user employed the maximum ratio combining (MRC) technique to improve the signal to interference and noise ratio (SINR).The closed-form expressions for the outage probability of primary user in full-duplex and half-duplex modes with multi-relay simultaneous forwarding (MRSF) and optimal relay forwarding (ORF) were derived and verified by Monte Carlo simulations.The results verify that full-duplex relay outperforms half-duplex relay scheme.Furthermore, with same number of multicast groups, the MRSF strategy effectively improve the unicast primary user outage performance, in comparison with ORF strategy, when the number of multicast groups increases, the improvement becomes more significant.…”
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Reliability analysis of reinforced concrete slabs according to NBR 6118 considering the lateral confinement by Gabriel Orso Garcia, Mauro de Vasconcellos Real, Paula Manica Lazzari

“…A numerical model developed in ANSYS software, calibrated from experimental results, was used to determine the slabs' failure loads. The Monte Carlo Simulation Method was employed to obtain the failure probabilities and reliability indexes. …”
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Near-Field Hierarchical Localization for Integrated Sensing and Communication by Giorgos Stratidakis, Sotiris Droulias, Angeliki Alexiou

“…The performance of the algorithm for static and mobile users is evaluated through Monte-Carlo simulations. The results are presented with the empirical CDF for both static and mobile users, and the probability of successful estimation for static users.…”
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Robust and Unbiased Variance of GLM Coefficients for Misspecified Autocorrelation and Hemodynamic Response Models in fMRI by Lourens Waldorp

“…Using this result, it is possible to obtain an exact statistic which keeps the 5% false positive rate. Extensive Monte Carlo simulations show that the sandwich is robust against misspeci cation of the autocorrelations and of the hemodynamic response model. …”
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Density-functional theory formulated in terms of functional integrals by Gérald Faussurier

“…This work could be of interest to people working in the field of quantum Monte Carlo methods at finite temperature.…”
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