Yi-Li Huang¹, Fang-Yie Leu^1,2,*, Ruey-Kai Sheu¹, Jung-Chun Liu¹, Chi-Jan Huang^2,3

CMC-Computers, Materials & Continua, Vol.77, No.1, pp. 1143-1164, 2023, DOI:10.32604/cmc.2023.037161 - 31 October 2023

Abstract Currently, data security mainly relies on password (PW) or system channel key (SK_CH) to encrypt data before they are sent, no matter whether in broadband networks, the 5th generation (5G) mobile communications, satellite communications, and so on. In these environments, a fixed password or channel key (e.g., PW/SK_CH) is often adopted to encrypt different data, resulting in security risks since this PW/SK_CH may be solved after hackers collect a huge amount of encrypted data. Actually, the most popularly used security mechanism Advanced Encryption Standard (AES) has its own problems, e.g., several rounds have been solved. On the… More >

Jingpeng Wang¹, Wei Zhang¹, Zhiwei Lin¹, Lin Song¹, Shiyuan Xie¹, Qi Liu², Wei Wang², Tao Yang², Kai Xu², Meng Li², Yuqiang Xu^3,*

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.1, pp. 105-116, 2023, DOI:10.32604/fdmp.2023.020049 - 02 August 2022

Abstract An uncertainty analysis method is proposed for the assessment of the residual strength of a casing subjected to wear and non-uniform load in a deep well. The influence of casing residual stress, out-of-roundness and non-uniform load is considered. The distribution of multi-source parameters related to the residual anti extrusion strength and residual anti internal pressure strength of the casing after wear are determined using the probability theory. Considering the technical casing of X101 well in Xinjiang Oilfield as an example, it is shown that the randomness of casing wear depth, formation elastic modulus and formation More >

Yantai Zhang^1,*, Yongan Shi², Baoyin Sun³, Zheng Wang⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.1, pp. 73-96, 2022, DOI:10.32604/cmes.2022.016857 - 29 November 2021

Abstract Based on the multiple stripes analysis method, an investigation of the estimation of aleatory randomness by S_a(T₁)-based intensity measures (IMs) in the fragility analysis is carried out for two typical low- and medium-rise reinforced concrete (RC) frame structures with 4 and 8 stories, respectively. The sensitivity of the aleatory randomness estimated in fragility curves to various S_a(T₁)-based IMs is analyzed at three damage limit states, i.e., immediate occupancy, life safety, and collapse prevention. In addition, the effect of characterization methods of bidirectional ground motion intensity on the record-to-record variability is investigated. It is found that the… More >

Xing Deng^1,2, Haijian Shao^1,2,*, Xia Wang^3,4

Energy Engineering, Vol.117, No.5, pp. 289-299, 2020, DOI:10.32604/EE.2020.011126 - 07 September 2020

Abstract Wind speed’s distribution nature such as uncertainty and randomness imposes a challenge in high accuracy forecasting. Based on the energy distribution about the extracted amplitude and associated frequency, the uncertainty measurement is processed through Rényi entropy analysis method with time-frequency nature. Nonparametric statistical method is used to test the randomness of wind speed, more precisely, whether or not the wind speed time series is independent and identically distribution (i.i.d) based on the output probability. Seasonal characteristics of wind speed are analyzed based on self-similarity in periodogram under scales range generated by wavelet transformation to reasonably More >

Leiting Dong^1,2, Salah H. Gamal³, Satya N. Atluri^2,4

CMC-Computers, Materials & Continua, Vol.37, No.1, pp. 1-21, 2013, DOI:10.3970/cmc.2013.037.001

Abstract In this paper, a simple and reliable procedure of stochastic computation is combined with the highly accurate and efficient Trefftz Computational Grains (TCG), for a direct numerical simulation (DNS) of heterogeneous materials with microscopic randomness. Material properties of each material phase, and geometrical properties such as particles sizes and distribution, are considered to be stochastic with either a uniform or normal probabilistic distributions. The objective here is to determine how this microscopic randomness propagates to the macroscopic scale, and affects the stochastic characteristics of macroscopic material properties. Four steps are included in this procedure: (1)… More >

Urrutia J¹, R Rivera^1,2, E Hauenstein¹, P De los Ríos¹

Phyton-International Journal of Experimental Botany, Vol.81, pp. 7-13, 2012, DOI:10.32604/phyton.2012.81.007

Abstract Macrophytes of inland waters are a group of great biological interest. Although lentic systems are ideal for their growth, their presence is not so evident in oligotrophic water bodies, proliferating largely in areas with some level of contamination. A useful tool to determine the presence of a regulatory factor in the composition of these and other biological communities is the use of null models. This analysis was applied based on the co-occurrence of species through a matrix of presence and absence, with the purpose of determining the presence of randomness in species associations. The three More >