A Note on the Strong Law of Large Numbers for Arrays of Rowwise ρ˜-Mixing Random Variables by Aiting Shen, Shuhe Hu

“…Let {Xni,i≥1,n≥1} be an array of rowwise ρ˜-mixing random variables. Some strong law of large numbers for arrays of rowwise ρ˜-mixing random variables is studied under some simple and weak conditions.…”
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Reconstruction of LDPC code check matrix based on random extraction at high bit error rate by Zhongyong WANG, Zhenghao LI, Kexian GONG, Peng SUN, Qingtao LI

“…In order to improve the performance of the sparse check matrix reconstruction algorithm of LDPC codes at high BER, an open set recognition algorithm of the check matrix with strong fault tolerance under the condition of sufficient and insufficient number of received code words was proposed.Firstly, a new code word space was constructed by randomly extracting part bits of the code words for many times.Gaussian elimination method was used to solve the dual vector and restore the check vector in a lower dimension.Secondly, using the check vector, the proportion of error-free code groups in the received data was continuously increased by using the methods of “eliminating error code words” or“flipping the lowest unreliable bits” for iterative processing.Simulation results show that the proposed algorithm is superior to comparison algorithm under different bit error rates, different code lengths, different code rates and different number of code words.For (648,324) LDPC codes in IEEE 802.11n protocol, when the number of received code words is sufficient, the reconstruction rate of check matrix can reach more than 95% under the condition of bit error rate of 0.003.When the number of received code words is insufficient (the number of code words is 450), the reconstruction rate of check matrix can reach more than 90% under the condition of bit error rate of 0.0015.…”
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Stochastic θ-Methods for a Class of Jump-Diffusion Stochastic Pantograph Equations with Random Magnitude by Hua Yang, Feng Jiang

“…This paper is concerned with the convergence of stochastic θ-methods for stochastic pantograph equations with Poisson-driven jumps of random magnitude. The strong order of the convergence of the numerical method is given, and the convergence of the numerical method is obtained. …”
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XCF-LSTMSATNet: A Classification Approach for EEG Signals Evoked by Dynamic Random Dot Stereograms by Tingting Zhang, Xu Yan, Xin Chen, Yi Mao

“…To explore the impact of stereograms with varied motions on brain activities, we collected Electroencephalography (EEG) signals evoked by Dynamic Random Dot Stereograms (DRDS). To effectively classify the EEG signals induced by DRDS, we introduced a novel hybrid neural network model, XCF-LSTMSATNet, which integrates an XGBoost Channel Feature Optimization Module with the EEGNet and an LSTM Self-Attention Modules. …”
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Performance analysis for pseudo-random asynchronous FH-CDMA system based on average-hit method by GTao ZHEN, Qi ZENG

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Digital model of a pseudo-random number generator based on a continuous chaotic system by Y. A. Drybin, S. V. Sadau, V. S. Sadau

Subjects: “…time sampling, deterministic chaos, lorentz system, random sequences, digital model…”
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Design Forces of Horizontal Braces Unlocated at Middle of Columns considering Random Initial Geometric Imperfections by Jinyou Zhao, Junming Wei, Jun Wang

“…In this paper, a large number of column-bracing systems with the horizontal braces unlocated at middle of columns were modelled and analyzed using the finite element method, in which the random initial geometric imperfections of both the columns and the horizontal braces unlocated at middle of columns were well considered by the Monte Carlo method. …”
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Parameter Estimation for p-Order Random Coefficient Autoregressive (RCA) Models Based on Kalman Filter by Mohammed Benmoumen, Jelloul Allal, Imane Salhi

“…In this paper we elaborate an algorithm to estimate p-order Random Coefficient Autoregressive Model (RCA(p)) parameters. …”
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Meso-Analysis of Recycled Coarse Aggregate Self-Compacting Concrete on the Basis of Random Aggregate Model by Songpu Gao, Qing Liu, Fengxia Han, Zhongyan Guo, Jianping Yang, Jianwei Ren

“…The purpose of this paper is to explore the numerical simulation of damage process and results of a new environmentally friendly material, recycled coarse aggregate self-compacting concrete (RCASCC). Random aggregate model of mesoscopic viewpoint was used for the experimental simulation of RCASCC. …”
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Random resistive memory-based deep extreme point learning machine for unified visual processing by Shaocong Wang, Yizhao Gao, Yi Li, Woyu Zhang, Yifei Yu, Bo Wang, Ning Lin, Hegan Chen, Yue Zhang, Yang Jiang, Dingchen Wang, Jia Chen, Peng Dai, Hao Jiang, Peng Lin, Xumeng Zhang, Xiaojuan Qi, Xiaoxin Xu, Hayden So, Zhongrui Wang, Dashan Shang, Qi Liu, Kwang-Ting Cheng, Ming Liu

“…We propose a hardware-software co-designed random resistive memory-based deep extreme point learning machine. …”
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Compilation of the Test Load Spectrum of Wind Power Gearbox based on the Random Wind Speed Model by Xu Fang, Zhou Zhigang

“…In order to compile the load spectrum for dynamic characteristic and fatigue life test of wind turbine gear transmission system,the external random wind load is obtained on the basis of simulating reality wind speed and aerodynamics theory,and by using the rain- flow counting method and mathematical statistics method,the statistic and analysis of the input random wind load data is carried out. …”
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Genetic parameters for milk production traits of Simmental cows with random regression test-day model by A. Otwinowska-Mindur, E. Ptak, W. Jagusiak, A. Zarnecki

“…Genetic parameters were estimated for a multitrait multilactation random regression test-day model for milk in Simmental cattle in Poland. …”
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Mathematical model for the parametric study of ammonia propulsion system in microsatellite platform by random search method by V. N. Blinov, A. I. Lukyanchik, V. V. Shalay

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Stochastic Finite-Time H∞ Performance Analysis of Continuous-Time Systems with Random Abrupt Changes by Bing Wang

“…The problem of H∞ control performance analysis of continuous-time systems with random abrupt changes is concerned in this paper. …”
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Analysis of Planetary Gear Fatigue Strength of Wind Turbine Under Weibull Distribution Random Load by Mingming Su, Mutellip Ahmat, Guangyao Sun

“…In order to quickly and accurately evaluate the fatigue life of the planetary gear system of wind turbine， according to the distribution relationship between the input torque of the planetary gear system and the wind speed， the two-parameter weibull random load spectrum corresponding to different wind speed is compiled， and the load spectrum is statistically processed by rain flow counting method. …”
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Research on cloud computing users’ public safety trust model based on scorecard-random forest by Shengli ZHOU, Canghong JIN, Lifa WU, Zheng HONG

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A Novel Antifragility Measure Based on Satisfaction and Its Application to Random and Biological Boolean Networks by Omar K. Pineda, Hyobin Kim, Carlos Gershenson

“…Here we propose a simply calculable measure of antifragility, based on the change of “satisfaction” before and after adding perturbations, and apply it to random Boolean networks (RBNs). Using the measure, we found that ordered RBNs are the most antifragile. …”
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A Method to Dynamic Stochastic Multicriteria Decision Making with Log-Normally Distributed Random Variables by Xin-Fan Wang, Jian-Qiang Wang, Sheng-Yue Deng

“…We investigate the dynamic stochastic multicriteria decision making (SMCDM) problems, in which the criterion values take the form of log-normally distributed random variables, and the argument information is collected from different periods. …”
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Statistical Analyses of a Class of Random Pentagonal Chain Networks with respect to Several Topological Properties by Jia-Bao Liu, Qing Xie, Jiao-Jiao Gu

“…The purpose of this paper is to study the mathematical properties of the random pentagonal chain networks PECn with the help of graph theory. …”
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Reconstruction of Random Structures Based on Generative Adversarial Networks: Statistical Variability of Mechanical and Morphological Properties by Mikhail Tashkinov, Yulia Pirogova, Evgeniy Kononov, Aleksandr Shalimov, Vadim V. Silberschmidt

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