Method for generating pseudo random numbers based on cellular neural network by Li-hua DONG, Guo-li YAO

“…To overcome the degradation characteristics of chaos system due to finite precision effect and improve the sta-tistical performance of the random number,a new method based on 6th-order cellular neural network (CNN) was given to construct a 64-bit pseudo random number generation (PRNG).In the method,the input and output data in every iteration of 6th-order CNN were controlled to improved the performance of the random number affected by chaos degradation.Then the data were XORed with a variable parameter and the random sequences generated by a Logistic map,by which the repeat of generated sequences was avoided,and the period of output sequences and the key space were expended.Be-sides,the new method was easy to be realized in the software and could generate 64 bit random numbers every time,thus has a high generating efficiency.Test results show that the generated random numbers can pass the statistical test suite NIST SP800-22 completely and thus has good randomness.The method can be applied in secure communication and other fields of information security.…”
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Residual life prediction of defected Polypropylene Random copolymer pipes (PPR) by Abderazzak Ouardi, Fatima Majid, Nadia Mouhib, Mohamed Elghorba

“…The polypropylene random copolymer (PPR) is a thermoplastic material generally used for the transport of water under pressure, especially hot water. …”
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Optimal Dependence of Performance and Efficiency of Collaborative Filtering on Random Stratified Subsampling by Samin Poudel, Marwan Bikdash

“…In this paper, we present a Density-based Random Stratified Subsampling using Clustering (DRSC) algorithm in which the desired Fraction of Users Dropped (FUD) and Fraction of Items Dropped (FID) are specified, and the overall density during subsampling is maintained. …”
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Analyzing Key Features of Open Source Software Survivability with Random Forest by Sohee Park, Gihwon Kwon

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Subgeometric Ergodicity under Random-Time State-Dependent Drift Conditions by Mokaedi V. Lekgari

“…In a nutshell, in this study we take a look at f-ergodic general Markov chains, subgeometrically ergodic at rate r, when the random-time Foster-Lyapunov drift conditions on a set of stopping times are satisfied.…”
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Improved integral attack——random linear distinguish and key recovery attack by Shaoyu DU

“…Based on the integral attack and collision attack of four rounds of AES, a random linear distinguish attack against four rounds of SP block ciphers was proposed, which took advantage of the non-uniformity of linear biases’ distribution between some blocks of plaintext and inner state.Combined with precomputation, a key recovery attack against four rounds of AES-like block ciphers was proposed.For LED-64, the results of distinguish attack and key recovery attack were given.Therein for LED-64 of 1-Step, the probability of successful distinguish attack is 85% under the condition that the data complexity is 2⁸ and the computational complexity is 2¹⁶ basic operation.For LED-64 of 2-Step, the calculation complexity of the key recovery attack under the condition of related key is 2¹⁴ basic operation, the data complexity is 2⁸, and the precomputation storage complexity is 2³⁸ half bytes.…”
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Tail Bounds for ℓ1 Norm of Gaussian Random Matrices with Applications by Xianjie Gao, Mingliang Zhang, Jinming Luo

“…As major components of the random matrix theory, Gaussian random matrices have been playing an important role in many fields, because they are both unitary invariant and have independent entries and can be used as models for multivariate data or multivariate phenomena. …”
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Strong and Weak Convergence for Asymptotically Almost Negatively Associated Random Variables by Aiting Shen, Ranchao Wu

“…The strong law of large numbers for sequences of asymptotically almost negatively associated (AANA, in short) random variables is obtained, which generalizes and improves the corresponding one of Bai and Cheng (2000) for independent and identically distributed random variables to the case of AANA random variables. …”
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EFFECT OF RANDOM FIBER DISTRIBUTION ON LONGITUDINAL COMPRESSIVE BEHAVIOR OF COMPOSITE MATERIALS by ZHANG Li, XU Dong, ZHANG ShuFeng, JIANG YuanXiang

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Liquefaction Evaluation Based on Shear Wave Velocity Using Random Forest by Lu Liu, Shushan Zhang, Xiaofei Yao, Hongmei Gao, Zhihua Wang, Zhifu Shen

“…The results indicated that the random forest method established based on the training dataset was credible. …”
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Spoofing speech detection algorithm based on joint feature and random forest by Jiaqi YU, Zhihua JIAN, Jia XU, Lin YOU, Yunlu WANG, Chao WU

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Distribution and moment characteristics of a quotient of heavy-tailed random variables by Kęstutis Gadeikis

“… Let us deal with positive i.i.d. random variables X1, . . ., Xm having a tail index α. …”
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Random impact force localisation enabled by the weighted reference database method by Binbin Qiu, Siqi Liu, Weidong Li, Chunhua Feng, Yu Zhu, Haoran Liu

“…Abstract The mechanical properties of an engineering structure can be substantially influenced by a random impact force (RIF), which may compromise the integrity and safety of the structure. …”
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Peridynamics analysis of crack propagation in concrete considering random aggregate distribution by Bin Geng, Ze Li, Yigong Zhao, Xiaoyan Zhang

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A SIRS Epidemic Model Incorporating Media Coverage with Random Perturbation by Wenbin Liu

“…We investigate the complex dynamics of a SIRS epidemic model incorporating media coverage with random perturbation. We first deal with the boundedness and the stability of the disease—free and endemic equilibria of the deterministic model. …”
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Random finite sets based UPF-CPHD multi-object tracking by Hui-bin WANG, Zhe CHEN, Xin WANG, Yu MA

Subjects: “…random finite sets…”
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Experimental Design and Validation of an Accelerated Random Vibration Fatigue Testing Methodology by Yu Jiang, Gun Jin Yun, Li Zhao, Junyong Tao

“…Based on theoretical analysis and fatigue damage model, several groups of random vibration fatigue tests were designed and conducted with the aim of investigating effects of both Gaussian and non-Gaussian random excitation on the vibration fatigue. …”
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Reflected entropy in random tensor networks. Part III. Triway cuts by Chris Akers, Thomas Faulkner, Simon Lin, Pratik Rath

“…Abstract For general random tensor network states at large bond dimension, we prove that the integer Rényi reflected entropies (away from phase transitions) are determined by minimal triway cuts through the network. …”
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Coassociative grammar, periodic orbits, and quantum random walk over ℤ by Philippe Leroux

“…Inspired by a work of Joni and Rota, we show that the combinatorics generated by a quantisation of the Bernoulli random walk over ℤ can be described from a coassociative coalgebra. …”
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MATHEMATICAL RATIONALE FOR CREATING AN APPLICATION FOR CONDUCTING RANDOM MEETINGS «COFFEE BREAK» by Vadym Ziuziun, Daniil Osoka

Subjects: “…mobile app facilitating random meetings…”
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