Experimental evidence for a shallow cumulate remelting origin of lunar high-titanium mare basalts by Shuchang Gao, Yanhao Lin, Wim van Westrenen

“…These results, compared with Monte-Carlo simulations and modelled rare earth element abundances and samarium–neodymium-lutetium–hafnium isotopic signatures of the experimental melts, remove the requirement of a deep origin of the lunar high-Ti mare basalts. …”
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Heavy-Duty Vehicle Braking Stability Control and HIL Verification for Improving Traffic Safety by Fahui Wang, Yongjie Lu, Haoyu Li

“…Firstly, the interval uncertain dynamic model is established based on the Monte Carlo method, and the braking failure simulation analysis of the right front wheel of heavy vehicles is carried out in the set of three uncertain intervals. …”
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Random Characteristics of Hydraulic Gradient through Three-Dimensional Multilayer Embankment by Xiaoming Zhao, Yulong Niu, Dongbin Cui, Mingming Hu

“…Then, the mean and standard deviation of overflow point height and hydraulic gradient were calculated by the Monte Carlo method, which combined the generated three-dimensional random model and the deterministic analysis method of seepage field. …”
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Performance Analysis in DF Energy Harvesting Full-Duplex Relaying Network with MRC and SC at the Receiver under Impact of Eavesdropper by Phu Tran Tin, Van-Duc Phan, Dong Si Thien Chau, Tan N. Nguyen, Phu X. Nguyen

“…In the mathematical analysis, we derived the exact expressions for intercept probability and outage probability (OP) by applying maximal ratio combining (MRC) and selection combining (SC) techniques at the receiver. Next, the Monte Carlo simulation is performed to validate the mathematical analysis. …”
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An improved extension of Xgamma distribution: Its properties, estimation and application on failure time data by Abdullah M. Alomair, Ayesha Babar, Muhammad Ahsan-ul-Haq, Saadia Tariq

“…Five approaches are used for parameter estimation: maximum likelihood, Anderson-Darling, Cramér-von Mises, ordinary, and weighted least squares. A Monte Carlo simulation is used to determine the effectiveness of these estimators for different sample sizes. …”
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Exploring replica-Potts CFTs in two dimensions by Stefanos R. Kousvos, Alessandro Piazza, Alessandro Vichi

“…The model has been studied in earlier works using perturbation theory, transfer matrices, and Monte Carlo simulations. This work represents an independent non-perturbative analysis. …”
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Modification of Jet Structure in High-Multiplicity pp Collisions due to Multiple-Parton Interactions and Observing a Multiplicity-Independent Characteristic Jet Size by Zoltán Varga, Róbert Vértesi, Gergely Gábor Barnaföldi

“…We study the multiplicity dependence of jet structures in pp collisions using Monte Carlo event generators. We give predictions for multiplicity-differential jet structures and present evidence for a nontrivial jet shape dependence on charged hadron event multiplicity that can be used as a sensitive tool to experimentally differentiate between equally well-preforming simulation tunes. …”
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Performance analysis of simultaneous wireless information and power transfer relay network in railway Internet of things by Yaping LI, Ke XIONG, Yu ZHANG, Xi YANG

“…The system performance of energy constrained dual-hop multi relay network was studied in railway Internet of things.The source node was deployed on the train to transmit energy and information to the relay node with constrained energy on the ground.The harvested energy was used by the relay node to forward information to the destination node,and the relay node used half-duplex amplify-and-forward mode.Considering that the relay circuit has energy activation threshold,the closed-form expression of outage probability and throughput in Rician fading channel was derived.The correctness of the theoretical analysis was verified by Monte Carlo simulation,and the effects of Rician factor,time switching factor,the number of source node antennas,total transmission power of source node,energy conversion efficiency,relative position of each node on the end-to-end outage probability and throughput were compared and analyzed under the two relay selection strategies with the shortest first hop distance and the shortest sum of dual-hop distance.When the train passes through each relay successively,the outage probability of the system decreases first and then in creases,and the throughput increases first and then decreases.The performance of the system with the shortest sum of dual-hop distances is better than that with the shortest first hop distance.…”
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Statistical analysis of the k/n(G) system with dependent competing failure components influenced by Gumbel-Hougarrd Copula and progressively hybrid censored data by Yanjie Shi, Zaizai Yan, Xiuyun Peng

“…Also, under the non-informative prior conditions, the conditional posterior density of the shape parameters of the marginal Weibull distribution is proved to be log-concave. The Monte Carlo simulation results showed that the proposed Bayes method is better than the traditional IFM method. …”
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Performance Trades for Multiantenna GNSS Multisensor Attitude Determination Systems by Nathan A. Tehrani, Jason N. Gross

“…For the remaining attitude sensors, different performance grades of sensors are assessed. Through a Monte Carlo simulation, it is shown that, under typical conditions, sub-0.1-degree attitude accuracy is available when using multiple antenna GNSS data only, but that this accuracy can degrade to degree level in some environments warranting the inclusion of additional attitude sensors to maintain the desired level of accuracy. …”
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STUDY ON VIBRATION FATIGUE OF SUBWAY VEHICLE BODY BASED ON RIGID-FLEXIBLE COUPLING DYNAMICS by KE Biao, WU XingWen, CHI MaoRu, LIANG ShuLin

“…The reliability of the structure is directly related to the service safety of the vehicle.Based on the existing vehicle body standard EN12663, this paper firstly studies the static strength and fatigue strength of the vehicle body, and identifies the static weak position of the vehicle body under standard load.In order to further identify the weak position of the vehicle body under service conditions, a rigid-flexible coupling dynamic model of subway vehicle is established based on the rigid-flexible coupling dynamic theory and finite element method.Using the modal stress recovery method, the dynamic weak positions in various service modes are identified, and the vehicle modes which contribute a lot to each weak position are analyzed.Finally, based on the subway rigid-flexible coupling dynamic model, the dynamic stress characteristic of vehicle body weak position under various service conditions is analyzed, and the service life of key welds of vehicle body structure is predicted based on monte Carlo sampling and Miner linear cumulative damage theory.…”
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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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Inherent stochasticity, noise and limits of detection in continuous and time-gated fluorescence systems. by Nicholas H Vitale, Arjang Hassibi, Hyongsok Tom Soh, Boris Murmann, Thomas H Lee

“…Both the ensemble and stochastic models presented in this work have been verified using Monte Carlo molecular dynamic simulations that utilize the Gillespie algorithm. …”
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Cooperative Search Optimization of an Unknown Dynamic Target Based on the Modified TPM by Kaixin Cheng, Di Wu, Tao Hu, Jinjin Wei, Zhifu Tian

“…Then, the distributed ant colony (ACO) algorithm and the artificial potential field (APF) algorithm are combined to generate and optimize the UAV swarm search result and return path with the goal of maximizing task execution efficiency. Finally, the Monte Carlo simulation method is used to analyze the effectiveness of the proposed algorithm, and the results are evaluated from five aspects, including the number of targets captured. …”
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Aircraft Position Estimation Using Deep Convolutional Neural Networks for Low SNR (Signal-to-Noise Ratio) Values by Przemyslaw Mazurek, Wojciech Chlewicki

“…In the learning process, a database of actual aircraft images was used. Using the Monte Carlo method, four types of Max algorithms, i.e., Pixel Value, Min. …”
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Second order sliding mode control with proportional integral observer for wing rock by Ahmad Mahmood, Jamshed Iqbal

“…Additionally, a numerical analysis is also performed for both scenarios to evaluate the effectiveness of the proposed controller in terms of the power consumption of the control law and burden on the aileron control surface. Finally, Monte Carlo simulations are performed to demonstrate the robustness of the proposed controller against external disturbances.…”
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Study on generation of turbulence-distorted received signals in OAM optical communications obeying dual Johnson S_Bdistribution by Chunyi CHEN, Qinqin XIONG, Haiyang YU, Haifeng YAO, Jiaxue SONG, Yan LOU

“…In order to analyze the performance of atmospheric OAM optical communication systems by Monte Carlo method,a method was proposed to simulate turbulence-distorted received signals in OAM optical communications,which possessed the given temporal auto-correlation and obeyed the dual Johnson S<sub>B</sub>distribution.A Gaussian random sequence with given temporal auto-correlation was first created by using an auto regression (AR) model,and meanwhile a white noise random sample sequence obeying the dual Johnson S<sub>B</sub>distribution was generated.Then the white noise random sample sequence was rearranged according to the statistical rank of the auto-correlated Gaussian random sequence to match the given temporal auto-correlation.By performing the simulation experiments,it was found that the statistical distribution of the simulated signals was in excellent agreement with the dual Johnson S<sub>B</sub>distribution,and the temporal auto-correlation of the signals matched the given temporal auto-correlation function.The results demonstrate that the proposed method can be used to simulate time-domain received signals in OAM optical communications impaired by turbulence-induced distortions.…”
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Radiological Characterization Study for Decommissioning of the ADS Sub-Critical Experimental Assembly by Minlan ZHOU, Geng ZHANG, Zhaodong XIA, Yuting CHENG, Wei ZHANG, Xiaodi MA, Luwei WANG

“…Then， the method combining the ORIGEN and Monte Carlo codes was used to calculate the radioactive nuclides， source strength， and specific activity generated by each component of the reactor core. …”
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Age-Dependent Small-Animal Internal Radiation Dosimetry by Tianwu Xie, Habib Zaidi

“…Particle transport was simulated using the MCNPX Monte Carlo code. Absorbed fractions (AFs) and specific absorbed fraction (SAFs) of monoenergetic photons/electrons and S values of eight positron-emitting radionuclides were calculated. …”
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Modeling and security analysis of hardware trojan attack based on GSCPN by MEI Bo, GUO Wei, CAO Zhipeng, LI Peijie, ZHANG Wenbo

“…The analytical solution of the Markov chain isomorphous to the GSCPN model was derived, alongside the simulation solution achieved using the Monte Carlo simulation method. The discrepancy between the two methods was a mere 0.00183, which verified the precision of the modeling approach. …”
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