Analysis for rank distribution of BATS codes under time-variant channels by Shiheng WANG, Heng LIU, Lin TANG, Jinling SU, Ruiqi ZHANG

“…As a two-step coding technique applied in multi-hop networks with a low complexity, the transmission performance of batched sparse (BATS) code was directly related to the rank distribution of the transfer matrix.Based on the assumption that the packet loss rate of each link on the erasure channel was constant, the rank distribution of the batch sparse codes on the erasure correction channel had been widely studied.However, in some scenarios such as the industrial Internet, a large number of mobile nodes were deployed in the whole network, which may cause the channels among nodes to become time-varying, that was, the packet loss rate on the link may vary with time.Therefore, under the assumption that the link packet loss rate between nodes in the network changes randomly, the rank distribution of batched sparse code transmission matrix was studied when random linear network coding (RLNC) and system recoding were used as inner coding schemes, and the closed solution of normalized rank expectation was deduced when the link packet loss rate obeyed the finite interval normal distribution.The correctness of the closed solutions was verified by Monte Carlo simulation.…”
Get full text

Mean arrival time distributions of extensive air showers at ultrahigh energies by I. F. Hussein, A. A. Al-Rubaiee, A. F. Mkhaiber

“…This paper investigates extensive air showers by estimating the muon and electron mean arrival time distributions at ultrahigh energies for various cosmic-ray particles. The Monte Carlo package AIRES (version 19.04.00) was used to perform simulations at energies of 1019 and 1020 eV. …”
Get full text

Two-Layer Optimization Algorithm for Multi-UAV Conflict Resolution considering Individual Fairness by Xusheng Gan, Honghong Zhang, Yarong Wu, Jingjuan Sun, Guhao Zhao, Fugen Lin

“…The reliability of the proposed algorithm is verified based on the Monte Carlo algorithm. The solution strategy based on the cooperative game “coalition complaint value” can improve individual fairness to a certain extent. …”
Get full text

An Actual Position Benchmark for Mexican Pension Funds Performance by Óscar V. De la Torre Torres, Evaristo Galeana Figueroa, Dora Aguilasocho Montoya

“…Para ello, se utilizó un backtest de abril de 2008 a abril de 2013 y una simulación Monte Carlo a diez años. Los resultados sugieren que, pese a que el msr presenta mayor retorno acu - mulado, el apb es una referencia recomendable por sus niveles estadísticamente iguales de índice de Sharpe, su máxima pérdida potencial y la igualdad est adística de su retorno.…”
Get full text

Improved Modelling and Assessment of the Performance of Firefighting Means in the Frame of a Fire PSA by Martina Kloos, Joerg Peschke

“…The tools used in the analysis are the code FDS (Fire Dynamics Simulator) for fire simulation and the tool MCDET (Monte Carlo Dynamic Event Tree) for handling epistemic and aleatory uncertainties. …”
Get full text

Comparisons of Tensile Fracturing Behaviors of Hydraulic Fully Graded and Wet-Screened Concretes: A Mesoscale Study by Lei Xu, Yongmiao Jin, Shuaizhao Jing, Jie Liu, Yefei Huang, Changqiao Zhou

“…To this end, a two-dimensional mesoscale modeling methodology is developed for simulating the tensile fracturing behaviors of hydraulic fully graded and wet-screened concretes, and extensive Monte Carlo simulations are performed. The individual effects of specimen size variation, variation of gradation and volume fraction of coarse aggregates, and the weaker interfacial transition zones surrounding the large coarse aggregates to be removed by wet-screening are detailed followed by the discussion on the combined effect of these three main factors. …”
Get full text

Modeling the Joint Choice Decisions on Urban Shopping Destination and Travel-to-Shop Mode: A Comparative Study of Different Structures by Chuan Ding, Binglei Xie, Yaowu Wang, Yaoyu Lin

“…A comparison of the different models shows that the proposed CNL model structure offers significant improvements in capturing unobserved correlations between alternatives over MNL model and NL model. Moreover, a Monte Carlo simulation for a group of scenarios assuming that there is an increase in parking fees in downtown area is undertaken to examine the impact of a change in car travel cost on the joint choice of shopping destination and travel mode switching. …”
Get full text

Measurement and prediction of the development level of China’s digital economy by Shuangyang Lai, Haoming Chen, Yuexu Zhao

“…The empirical analysis shows the Grey-Markov model is superior to grey prediction model in capturing random fluctuations, and Monte Carlo simulation indicates that this model has good robustness. …”
Get full text

Improvement of the Resilience of a Microgrid Using Fragility Modeling and Simulation by Santhan Kumar Ch, N. Karuppiah, B. Praveen Kumar, S. Shitharth, B. Dasu

“…The method used for this purpose is a combination of Monte Carlo simulation and prioritization of load of the microgrid. …”
Get full text

Non-linear enhancement of ultrafast X-ray diffraction through transient resonances by Stephan Kuschel, Phay J. Ho, Andre Al Haddad, Felix F. Zimmermann, Leonie Flueckiger, Matthew R. Ware, Joseph Duris, James P. MacArthur, Alberto Lutman, Ming-Fu Lin, Xiang Li, Kazutaka Nakahara, Jeff W. Aldrich, Peter Walter, Linda Young, Christoph Bostedt, Agostino Marinelli, Tais Gorkhover

“…Our experimental results and Monte Carlo simulations suggest that transient resonances can increase ionic scattering cross sections significantly beyond literature values. …”
Get full text

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.…”
Get full text

Roberto Spaemanno kontrrevoliucinės politinės teologijos kritika by Linas Jokubaitis

“… Straipsnio tikslas – įrodyti, kad Roberto Spaemanno pateiktos teleologijos inversijos, Bonaldo politinės teologijos ir nihilistinės dešinės interpretacijos gali būti taikomos kritiškai analizuojant Carlo Schmitto kontrrevoliucinę politinę teologiją. …”
Get full text

Modeling and Error Compensation of Robotic Articulated Arm Coordinate Measuring Machines Using BP Neural Network by Guanbin Gao, Hongwei Zhang, Hongjun San, Xing Wu, Wen Wang

“…A neural network model is proposed and analyzed by using the data generated via Monte-Carlo method in simulations. The structure and parameter settings of neural network are optimized to improve the prediction accuracy and training speed. …”
Get full text

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. …”
Get full text

Probabilistic Investigation of Cavitation Occurrence on Morning-Glory Spillways Using Numerical Modeling and Response Surface Method by Masoud Ghaffari, Mehdi Azhdary Moghaddam, Gholamreza Azizian, Mohsen Rashki

“…To do so, the Response Surface Method (RSM) was utilized to generate the explicit LSF and the reliability of the cavitation damage was estimated using the Monte Carlo and first and second order reliability methods. …”
Get full text

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.…”
Get full text

Cooperative mechanisms of oxide ion conduction in tellurites with secondary bond interactions and Grotthuss-like processes by Zhenyu Zhu, Guanqun Cai, Yuxiang Feng, Juping Xu, Shengqi Chu, Pengfei An, Jianrong Zeng, Wen Yin, Yu Gu, Xiaojun Kuang, Junliang Sun

“…Neutron total scattering experiments with reverse Monte Carlo simulations indicated that the oxide ion migration in those two tellurites is a synergetic effect of mutual transition between Te-O secondary bonds and covalent bonds assisted by Te-O polyhedra rotation. …”
Get full text

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. …”
Get full text

Holographic reconstruction of black hole spacetime: machine learning and entanglement entropy by Byoungjoon Ahn, Hyun-Sik Jeong, Keun-Young Kim, Kwan Yun

“…Utilizing neural ordinary differential equations alongside Monte-Carlo integration, we develop a method tailored for continuous training functions to extract the general isotropic bulk metric from entanglement entropy data. …”
Get full text

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. …”
Get full text