Indoor millimeter-wave D2D communication modeling combining self-blockage and common blockage by Lei WANG, Xiao-ting YU, Ming-kai CHEN, Yi QIAN

“…The high transmission rate characteristic of millimeter wave (mmWave) technology can meet the requirements of large amount of data communications among intelligent devices for indoor scenario.While guaranteeing high throughput,reducing the interference simultaneously in a closed region is still a challenge.For indoor transmission,the human bodies are considered as main blockages besides common blockages.Thus,a new system model is presented,constructing the human body into a self-blockage model,while using multi-ball LOS link state model to describe the conventional blockage.The combination of the two will give a more comprehensive and accurate expression of indoor obstruction.The proposed model uses stochastic geometry to analyze system performance by giving a closed expression of coverage and rate.The simulation results show that the model is accurate to describe the distribution of blockages via the comparison between analysis and Monte Carlo simulations.…”
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5D Parameter Estimation of Near-Field Sources Using Hybrid Evolutionary Computational Techniques by Fawad Zaman, Ijaz Mansoor Qureshi

“…A large number of Monte-Carlo simulations are carried out to test out the validity and reliability of each scheme.…”
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Analysis on Cable Fault Tolerance Kinematics Space of Cable-driven Snake-arm Robots by Chen Huiqing, Yang Taiwei

“…In this study, coordinates are built according to Denavit-Hartenberg (D-H) method based on structure characteristics of cable-driven snake-arm robots , and then kinematics analysis is conducted with Monte Carlo method. The reachable space ranges of the cable-driven snake-arm under different modes is simulated by Matlab. …”
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Modelling the brittle failure of graphite induced by the controlled impact of runaway electrons in DIII-D by S. Ratynskaia, P. Tolias, T. Rizzi, K. Paschalidis, A. Kulachenko, E. Hollmann, M. Beidler, Y. Liu, D. Rudakov, I. Bykov, R.A. Pitts

“…The thermo-mechanical response of an ATJ graphite sample to controlled runaway electron (RE) dissipation, realized in DIII-D, is modelled with a novel work-flow that features the RE orbit code KORC, the Monte Carlo particle transport code Geant4 and the finite element multiphysics software COMSOL. …”
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Splitting Travel Time Based on AFC Data: Estimating Walking, Waiting, Transfer, and In-Vehicle Travel Times in Metro System by Yong-Sheng Zhang, En-Jian Yao

“…Then, Markov Chain Monte Carlo method is designed to estimate all parameters endogenously. …”
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A Stochastic Wavelet Finite Element Method for 1D and 2D Structures Analysis by Xingwu Zhang, Xuefeng Chen, Zhibo Yang, Bing Li, Zhengjia He

“…By means of virtual work principle and BSWI, the wavelet finite elements of beam, plate, and plane rigid frame are obtained. Combining the Monte Carlo method and the constructed BSWI elements together, the BSWI-SFEM is formulated. …”
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Pharmacodynamic Profiling of Antimicrobials against Gram-negative Respiratory Isolates from Canadian Hospitals by Rebecca A. Keel, George G. Zhanel, Sheryl Zelenitsky, David P. Nicolau

“…The objective of this study was to assess the profile of a variety of dosing regimens for common intravenous antibiotics against contemporary Enterobacter cloacae, Escherichia coli, Klebsiella pneumoniae and Pseudomonas aeruginosa isolates collected in Canada during 2009, using pharmacodynamic modelling techniques. Monte Carlo simulation was conducted for standard and/or prolonged infusion regimens of cefepime, ceftazidime, ceftriaxone, ciprofloxacin, doripenem, ertapenem, meropenem and piperacillin/tazobactam. …”
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Prediction of Fatigue Life of a Continuous Bridge Girder Based on Vehicle Induced Stress History by V.G. Rao, S. Talukdar

“…Vehicle induced time history of maximum flexural stresses has been obtained by Monte Carlo simulation process and utilized to develop the stress range frequency histogram taking into consideration of the annual traffic volume. …”
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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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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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CMM Influence Factors and Uncertainty Associated with Length Measurement by Alistair Forbes

“…The uncertainty evaluation methodology is direct in that it requires no optimisation nor Monte Carlo simulations.…”
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A Bayesian Hierarchical Model for Relating Multiple SNPs within Multiple Genes to Disease Risk by Lewei Duan, Duncan C. Thomas

“…The entire model is fitted using Markov chain Monte Carlo methods. Simulation studies show that the approach is capable of recovering many of the truly causal SNPs and genes, depending upon their frequency and size of their effects. …”
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On the Performance of Energy Harvesting Dual-Hop Free-Space Optical Communication Systems with Secrecy Analysis by Abdulgani A. Ibrahim, Serdar Özgür Ata, Lütfiye Durak-Ata

“…Finally, the accuracy of the derived analytical expressions are validated with Monte Carlo simulations. Results show that our proposed system model outperforms its non-SLIPT counterpart.…”
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The edge of random tensor eigenvalues with deviation by Nicolas Delporte, Naoki Sasakura

“…We support our claims with Monte Carlo simulations. We believe that our results set the ground for a definition of pseudospectrum of random tensors based on Z-eigenvalues.…”
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Autoregressive neural quantum states of Fermi Hubbard models by Eduardo Ibarra-García-Padilla, Hannah Lange, Roger G. Melko, Richard T. Scalettar, Juan Carrasquilla, Annabelle Bohrdt, Ehsan Khatami

“…Neural quantum states (NQSs) have emerged as a powerful ansatz for variational quantum Monte Carlo studies of strongly correlated systems. Here, we apply recurrent neural networks (RNNs) and autoregressive transformer neural networks to the Fermi-Hubbard and the (non-Hermitian) Hatano-Nelson-Hubbard models in one and two dimensions. …”
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Study of Error Propagation in the Transformations of Dynamic Thermal Models of Buildings by Loïc Raillon, Christian Ghiaus

“…A procedure for the study of error by Monte Carlo simulation and of factor prioritization is exemplified on a simple, but representative, thermal model of a building. …”
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Modified Ridge Regression With Cook’s Distance for Semiparametric Regression Models by Najeeb Mahmood Khan, Muhammad Aman Ullah, Javaria Ahmad Khan, Salman Raza

“…The effectiveness of MPLSEs is demonstrated through the Longley dataset, where Cook’s distance is applied to the estimated coefficients, fitted values, residuals, and leverages, using a modified ridge parameter. In addition, a Monte Carlo simulation examines the influence of Cook’s distance across varying levels of multicollinearity, influential observations, and sample sizes. …”
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A Stochastic-Variational Model for Soft Mumford-Shah Segmentation

“…<p>In contemporary image and vision analysis, stochastic approaches demonstrate great flexibility in representing and modeling complex phenomena, while variational-PDE methods gain enormous computational advantages over Monte Carlo or other stochastic algorithms. In combination, the two can lead to much more powerful novel models and efficient algorithms. …”
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Study on Tensile Properties of Nanoreinforced Epoxy Polymer: Macroscopic Experiments and Nanoscale FEM Simulation Prediction by Zhenqing Wang, Fang Liu, Wenyan Liang, Limin Zhou

“…Three analytical models were used to obtain the effective elastic modulus of nanoparticle-reinforced composites. Based on Monte-Carlo method, the special program for the automatic generation of 2D random distribution particles without overlapping was developed for nanocomposite modeling. …”
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Testing financial time series for autocorrelation: Robust Tests by Nelson Omar Muriel Torrero

“…Se encuentra que su distribución asintótica es nula y se examinan sus propiedades de muestras pequeñas usando Monte Carlo. El poder de las pruebas se estudia para alternativas MA y GARCH en la media. …”
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