Control Monitoring Schemes for Monitoring Percentiles of Generalized Exponential Distribution with Hybrid Censoring by Shovan Chowdhury, Amarjit Kundu, Bidhan Modok

“…Similar schemes can be derived for type-I and type-II censored data as a special case of the proposed censoring scheme. Monte Carlo simulations are carried out for various combinations of percentiles, false-alarm rates and sample sizes to evaluate the in-control performance of the proposed scheme in terms of average run lengths. …”
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Nonlinear functional response parameter estimation in a stochastic predator-prey model by Gianni Gilioli, Sara Pasquali, Fabrizio Ruggeri

“…We tackle the problem of parameter estimation using a Bayesian approach relying on a Markov Chain Monte Carlo algorithm. The efficiency of the method is tested on a set of simulated data. …”
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Improvement of Core Performance by Introduction of Moderators in a Blanket Region of Fast Reactors by Toshio Wakabayashi

“…The core characteristics have been evaluated with a continuous-energy model Monte Carlo code MVP and the JENDL-3.3 cross-section library. …”
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Reliability Assessment of Steel-Concrete Composite Beams considering Metal Corrosion Effects by Trong-Ha Nguyen, Duy-Duan Nguyen

“…The effects of the random input variables on the reliability of structures are evaluated by sensitivity analyses, which are calculated by the global sensitivity analysis using Sobol’s method and Monte Carlo simulation. The developed reliability analysis algorithm in this study is verified with previous studies, highlighting the capability of the used method. …”
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Nonlinear Dynamic Behaviour Analysis of a Clutch System with Uncertainties Using Polynomial Chaos and the Constrained Harmonic Balance Method by M.-H. Trinh, S. Berger, E. Aubry

“…The purpose is to provide a low-cost, high precision approach, compared to the classic Monte Carlo method.…”
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An enhanced Bayesian approach for damage identification utilizing prior knowledge from refined elemental modal strain energy ratios by Li Chen, Hui Chen, Lu-ling Liu

“…Using the sparse prior and initial damage estimates, Markov Chain Monte Carlo (MCMC) sampling computes the posterior Probability Density Functions (PDFs) of damage parameters to determine the Maximum A Posteriori (MAP) estimates. …”
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Advanced Method for Calculations of Core Burn-Up, Activation of Structural Materials, and Spallation Products Accumulation in Accelerator-Driven Systems by A. Stankovskiy, G. Van den Eynde

“…The ALEPH2 Monte Carlo depletion code has two principal features that make it a flexible and powerful tool for reactor analysis. …”
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Nonstationary Random Vibration Performance of Train-Bridge Coupling System with Vertical Track Irregularity by Xiaozhen Li, Yan Zhu, Zhibin Jin

“…By introducing the pseudo excitation algorithm into the train-bridge interaction dynamic system, expressions of the mean value, standard deviation, and power spectral density of the nonstationary random dynamic responses of bridge and vehicles are derived. Monte-Carlo simulations are implemented to validate the presented method. …”
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A New Conway Maxwell–Poisson Liu Regression Estimator—Method and Application by Muhammad Nauman Akram, Muhammad Amin, Faiza Sami, Adam Braima Mastor, Omer Mohamed Egeh, Abdisalam Hassan Muse

“…To assess the performance, we conduct a Monte Carlo simulation where mean squared error is considered as an evaluation criterion. …”
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Optimization tool for small hydropower plant resource planning and development: A case study by Antans Sauhats, Hasan Huseyin Coban

“…The opportunity to apply the Monte-Carlo method for the feasibility study is demonstrated…”
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Self-Assembly of Particles on a Curved Mesh by Gabriele Costa, Santi Prestipino

“…When attempting to reproduce the equation of state of the model by Monte Carlo simulation, we find hysteretic behavior near zero temperature, implying a bottleneck issue for Metropolis dynamics near phase-crossover points.…”
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Asymptotic performance analysis of untrusted relay system with full-duplex jamming destination by Rui ZHAO, Xing TAN, Yuanjian LI, Yucheng HE, Chunguo LI

“…The cooperative relay technique in the field of physical layer security is widely concerned by the academic community,due to the advantages of increasing the network capacity and expanding the network coverage.However,cooperative relays may play as untrusted nodes in some certain circumstances.Based on this,to enhance the secrecy performance of untrusted relay systems,a novel full-duplex destination jamming (FDJ) scheme was proposed in the Rayleigh fading channel.In order to maximize the system’s secrecy capacity,a switchable split-optimal antenna selection (OAS) scheme was proposed for a multiple-antenna destination,the power allocation optimization scheme between the source and destination was designed,and the corresponding closed-form expressions of secrecy performance were given.In the large-scale antennas analysis,the closed-form expressions of the ergodic achievable secrecy rate and the optimal power allocation factor of instantaneous secrecy capacity for the FDJ-OAS scheme were derived.Furthermore,based on different asymptotic cases,the asymptotic analyses of secrecy outage probability for the FDJ-OAS scheme were significantly analyzed.Simulation results show that the analytical curves match well with the Monte-Carlo simulation results.It is concluded that the diversity order of the FDJ-OAS scheme is proportional to the number of antennas and antenna diversity can be achieved,which reveals the advantages of the proposed FDJ-OAS scheme.…”
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Trajectory Planning of Camellia Oleifera Pollen Picking Manipulators Based on an Improved Particle Swarm Optimization Algorithm by Li Jun, Zhao Qing, Li Lijun, Wu Zechao, Guo Xin, Fan Ziyan, Gong Hongbin

“…In the Matlab software environment, the Monte Carlo method is used to solve the workspace of the end claw, and the point cloud image of the manipulator end workspace is obtained. …”
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A Probabilistic Model for Evaluation of the Dynamic Behavior of a Concrete Gravity Dam considering the Fluid-Structure Interaction by Majid Pasbani Khiavi, Adel Ferdousi, Abdolrahman Moallemi Khiavi

“…For this purpose, a program has been written in an APDL environment of Ansys software capable of dynamic analysis of a system and presenting probabilistic models. The Monte Carlo method with the LHS method has been applied for the probabilistic model, in which the essential parameters in the dam-reservoir interaction problem include excitation frequency, reservoir height, and reservoir length as input variables, and the effect of their changes on the hydrodynamic wave propagation process in the reservoir and the dynamic response of the dam are evaluated. …”
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Spatial Object Tracking Using an Enhanced Mean Shift Method Based on Perceptual Spatial-Space Generation Model by Pengcheng Han, Junping Du, Ming Fang

“…We use a series of basic and composite graphic operators to complete signal perceptual transformation. The Monte Carlo contour detection method could overcome the dimensions problem of existing local filters. …”
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Higher precision constraints on the tau $$g-2$$ g - 2 in LHC photon-initiated production: a full account of hadron dissociation and soft survival effects by L. A. Harland-Lang

“…With this in mind we have made our calculation publicly available in the SuperChic Monte Carlo generator, including the possibility to simulate this process for varying $$a_\tau , d_\tau $$ a τ , d τ without rerunning.…”
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Statistically Quantifying the Uncertainty in Strength of Marine Clay Stabilized by a Type of Portland-Fly Ash Cement by Zhi-Ren Zhu, Qiang-Qiang Cheng, Yang-Yang Chen, Elton J. Chen, Yuan Su

“…These two uncertainties were quantitatively described as two random variables, and the analyses were conducted through the Monte Carlo simulation method. Results indicate that the strength is insensitive to the cement fraction in the binder but is sensitive to the binder concentration; the variation of the latter even results in an amplified variation of strength. …”
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Small-Animal X-ray Dose from Micro-CT by John M. Boone, Orlando Velazquez, Simon R. Cherry

“…Therefore, it is important to understand what the doses are for a specific imaging procedure. Monte Carlo simulation was used to evaluate the radiation dose to small animals (5–40 mm in diameter) as a result of X-ray exposure. …”
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Extracting Kinetic Freeze-Out Properties in High-Energy Collisions Using a Multisource Thermal Model by Jia-Yu Chen, Mai-Ying Duan, Fu-Hu Liu, Khusniddin K. Olimov

“…The results obtained from our Monte Carlo method are used to fit the experimental results of the PHENIX and STAR Collaborations. …”
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Convergence and Quantum Advantage of Trotterized MERA for Strongly-Correlated Systems by Qiang Miao, Thomas Barthel

“…Here, we determine the scaling of computation costs for various critical spin chains which substantiates a polynomial quantum advantage in comparison to classical MERA simulations based on exact energy gradients or variational Monte Carlo. Algorithmic phase diagrams suggest an even greater separation for higher-dimensional systems. …”
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