Annealing dynamics of regular rotor networks: Universality and its breakdown by András Grabarits, Gaetano Sammartino, Adolfo del Campo

“…The spin-vector Monte Carlo model is widely used as a benchmark for the classicality of quantum annealers but severely restricts the time evolution. …”
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A multi-hop D2D and social awareness based novel relay selection algorithm by Liang LI, Xinjie YANG

“…The social domain was introduced to multi-hop D2D (device-to-device) communication in cellular network scenarios, and a novel relay selection algorithm for multi-hop D2D communication under cellular network was proposed.Unlike existing relay selection algorithms, the proposed algorithm selects relays for each hop in reverse order, which reduces the signaling overhead caused by algorithm implement.Then, social domain information of mobile terminals was introduced to the algorithm and its influence on the algorithm’s performance was studied, which was found significant enough not to be overlooked hence providing useful guidance to designing algorithms in practical systems.Moreover, via extensive Monte Carlo simulations, it is discovered that the proposed algorithm outperforms the benchmarks in terms of data throughput and energy efficiency in absence of social relationship information.In a more practical implementation with social relationship information included, the proposed algorithm though naturally achieving less throughput, significantly outperforms the benchmarks in energy efficiency.…”
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Shoulder Optimization and Motion Simulation of a 7-DOF Exoskeleton Upper Limb Rehabilitation Robot by Liu Jiajun, Zhang Xinbo, Xie Yinhui, Li Jun, Lin Guijuan, Gong Qingzhong

“…Forward and inverse kinematics of the robot are solved and verified by the D-H parameter method. The Monte Carlo method is used to analyze the workspace of the robot to prove the rationality of the structure design. …”
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Design and research of adaptive O-OFDM symbol decomposing with serial transmission system in visible light communication by Kejun JIA, Boran YANG, Minghua CAO, Suoping LI, Li HAO

“…Iterative signal clipping (ISC) and symbol decomposing with serial transmission (SDST) techniques decompose optical orthogonal frequency division multiplexing (O-OFDM) symbol into the fixed number of multiple small-amplitude symbols.However,at low O-OFDM symbol variances,the decomposition symbols contain a large amount of all-zero symbols without load information,which results in bit error rate degradation,optical power penalty and information rate reduction.Aim at this problem,an adaptive O-OFDM symbol decomposing with serial transmission (ASDST) system was proposed,the symbol decomposition was adaptively determined according to the O-OFDM symbol amplitude.Symbol decomposition was terminated until O-OFDM symbol was completely decomposed or the maximum symbol decomposition times were attained,thereby eliminated all-zero symbols and reduced the average symbol decomposition times.The performance of ASDST system was verified by theoretical analysis and Monte Carlo simulation.…”
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Analyzing Integrated Cost-Schedule Risk for Complex Product Systems R&D Projects by Zhe Xu, Jing Yu, Hongbo Li

“…Graphical evaluation review technique (GERT), Monte Carlo simulation, and probability distribution theory are utilized to establish the model. …”
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BEP/SEP and Outage Performance Analysis of 𝐿-Branch Maximal-Ratio Combiner for 𝜅-𝜇 Fading by Mirza Milišić, Mirza Hamza, Mesud Hadžialić

“…BEP/SEP and outage performances of the MRC will be evaluated for different number of branches via Monte Carlo simulations and theoretical expressions.…”
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Improved SMC cardinality-balanced multi-Bernoulli forwardbackward smoothing track-before-detect algorithm by Jiazheng PEI, Yong HUANG, Yunlong DONG, Xiaolong CHEN

“…For the tracking problem of multiple maneuvering targets in radar observation,the sequential Monte-Carlo cardinality-balanced multi-Bernoulli track-before-detect (SMC-CBMeMBer-TBD) algorithm is inaccurate in the estimation of the number of targets and the precision of state estimation.An improved algorithm based on SMC-CBMeMBer forward backward smoothing track-before-detect algorithm was proposed.In the algorithm,the multi target particle swarm optimization (MOPSO) was added between the process of prediction and update,and the fitness function was set up based on the observation value to make the particle set move to the position of the larger posterior probability density distribution,and solve the particle poverty in the heavy sampling process.In the update step,the algorithm was used.Then the smoothing recursive method was added,and the arithmetic operation time was prolonged,but the number and the state estimation precision were improved.The simulation results show that compared with the CBMeMBer-TBD method,the proposed algorithm improves the accuracy of the estimation of the number of maneuvering targets and the accuracy of the target state estimation.…”
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Bounded Odd Inverse Pareto Exponential Distribution: Properties, Estimation, and Regression by Suleman Nasiru, Abdul Ghaniyyu Abubakari, Irene Dekomwine Angbing

“…Six different frequentist estimation procedures were proposed for estimating the parameters of the distribution and their performance assessed via Monte Carlo simulations. Applications of the distribution were illustrated by analyzing two datasets and its fit compared to that of other distributions defined on the unit interval. …”
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Role of Electrostatic Effects in the Pure Component and Binary Adsorption of Ethylene and Ethane in Cu-Tricarboxylate Metal-Organic Frameworks by Timothy M. Nicholson, Suresh K. Bhatia

“…Both experimental data and single-component Grand Canonical Monte Carlo (GCMC) simulations were fitted well with the Unilan model and mixture isotherms were satisfactorily predicted by the Ideal Adsorbed Solution Theory when compared with binary simulation results. …”
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Reliability Analysis of Damaged Beam Spectral Element with Parameter Uncertainties by M. R. Machado, J. M. C. Dos Santos

“…The reliability analyses were performed using the perturbation method, First-Order Reliability Method (FORM), and response surface method (RSM) which were compared with Monte Carlo simulation (MCS) under the spectral element method environment. …”
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On the Validity of the Dynamical Mean-Field Approximation for Studying the Two-Dimensional Hubbard Model on a Square Lattice by A. N. Ribeiro, C. A. Macedo

“…The dynamical mean-field approximation (DMFA) becomes exact in the limit of infinite dimensions, and allows results to be obtained in a nonperturbative regime without the limitations normally found with exact diagonalization (ED) and quantum Monte Carlo (QMC) methods. In this paper, we investigate the applicability of the method to lattices with small coordination number in special situations. …”
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Immunization of Cooperative Spreading Dynamics on Complex Networks by Jun Wang, Shi-Min Cai, Tao Zhou

“…We also develop a generalized percolation theory to study the final state of the spreading dynamics. By using the Monte Carlo method, numerical simulations reveal that immunizing nodes with a large degree cannot always be beneficial for containing cooperative spreading. …”
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Effect of Rotor Faults on Wind Turbine Shutdown or Continued Operation by Dariush Biazar, Hamid Khaloozadeh, Mehdi Siahi

“…This study presents a novel evaluation of rotor fault effects on output power and measured variables in WTs using Monte Carlo simulation and sensitivity analysis. Through comprehensive simulation and numerical analysis, the faults with the greatest impact on WT performance are identified. …”
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Fractional derivative in continuous-time Markov processes and applications to epidemics in networks by Matteo D'Alessandro, Piet Van Mieghem

“…We conclude verifying the proposed framework with Monte Carlo simulations.…”
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Numerical Study of Hall Thruster Plume and Sputtering Erosion by Li Yan, Ping-Yang Wang, Yang-Hua Ou, Xiao-Lu Kang

“…The model is based on three dimensional hybrid particle-in-cell and direct simulation Monte Carlo method (PIC/DSMC method) which is integrated with plume-wall sputtering yield model. …”
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Economic-Oriented Stochastic Optimization in Advanced Process Control of Chemical Processes by László Dobos, András Király, János Abonyi

“…The proposed framework is realized as direct search-type optimization of Monte-Carlo simulation of the controlled process. The concept is illustrated throughout by a well-known benchmark problem related to the control of a linear dynamical system and the model predictive control of a more complex nonlinear polymerization process.…”
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Performance analysis of dual-hop PLC-FSO communication system by Shenghai CHEN, Xiaoqin YAN, Sai LI, Liang YANG

“…A dual-hop power line communication and free-space optical communication (PLC-FSO) system was proposed, where an amplify-and-forward (AF) relay was applied to help the signal transmission between the PLC link and the FSO link.More specifically, it was assumed that the PLC link was affected by both additive background noise and impulsive noise, and the channel fading followed log-normal distribution, while the fading induced by the atmospheric turbulence in the FSO link followed a Gamma-Gamma distribution, and the effect of pointing errors was also considered.Based on this model, closed-form expressions for the outage probability, bit error rate, and the channel capacity were derived.In addition, asymptotic analysis for the outage probability and BER, and upper bound expression for the channel capacity were presented.Finally, the accuracy of the analytical results was justified through Monte-Carlo simulations.The results show that the system outage probability decreases as the pointing error parameter increases and the smaller the PLC link impulse noise, the lower the bit error rate.The system capacity increases as the turbulence intensity decreases.…”
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Hierarchical Bayesian Spatio-Temporal Modeling for PM10 Prediction by Esam Mahdi, Sana Alshamari, Maryam Khashabi, Alya Alkorbi

“…The disaggregating technique with a Markov chain Monte Carlo method with Gibbs sampler are used to handle the missing data. …”
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TOMA DE DECISIONES DE AGENTES RACIONALES CON PROCESOS MARKOVIANOS. Avances recientes en economía y finanzas by Onésimo Hernández-Lerma, Francisco Venegas-Martínez

“…Particularmente, se destaca diversas extensiones y reformulaciones de procesos markovianos de decisión, juegos estocásticos, optimalidad de Blackwell para procesos de difusión controlados, control óptimo estocástico con procesos de difusión y su combinación con saltos de Poisson, modelado de series de tiempo con cadenas de Markov y, por último, redes bayesianas con cadenas de Markov en conjunción con simulación Monte Carlo (MCMC).…”
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Bit error rate analysis model of M-APSK based on total probability formula by HUAN Hao, REN Kexue

“…Taking 16APSK and 32APSK as examples, the theoretical bit error rate formula of all kinds of constellations was derived, which was in excellent agreement with Monte Carlo simulation. This model is universal, PSK, QAM, PAM, APSK and other modulation methods can use this model to obtain the exact closed-form solution of theoretical bit error rate. …”
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