Amer Ibrahim Al-Omari^{1, *}, Ibrahim M. Almanjahie², Amal S. Hassan³, Heba F. Nagy⁴

CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 835-857, 2020, DOI:10.32604/cmc.2020.10944

Abstract In reliability analysis, the stress-strength model is often used to describe the life of a component which has a random strength (X) and is subjected to a random stress (Y). In this paper, we considered the problem of estimating the reliability R=P [Y<X] when the distributions of both stress and strength are independent and follow exponentiated Pareto distribution. The maximum likelihood estimator of the stress strength reliability is calculated under simple random sample, ranked set sampling and median ranked set sampling methods. Four different reliability estimators under median ranked set sampling are derived. Two estimators are obtained when both strength… More >

An Chen^{1, *}

CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.3, pp. 917-939, 2020, DOI:10.32604/cmes.2020.09224

Abstract In this paper, two classes of Riesz space fractional partial differential equations including space-fractional and space-time-fractional ones are considered. These two models can be regarded as the generalization of the classical wave equation in two space dimensions. Combining with the Crank-Nicolson method in temporal direction, efficient alternating direction implicit Galerkin finite element methods for solving these two fractional models are developed, respectively. The corresponding stability and convergence analysis of the numerical methods are discussed. Numerical results are provided to verify the theoretical analysis. More >

Yuhang Long¹, Wensheng Tang^{1, *}, Bo Yang^{1, *}, Xinyu Wang², Hua Ma¹, Hang Shi¹, Xueyu Cheng³

CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1445-1469, 2020, DOI:10.32604/cmc.2020.09944

Abstract Currently, the top-rank-k has been widely applied to mine frequent patterns with a rank not exceeding k. In the existing algorithms, although a level-wise-search could fully mine the target patterns, it usually leads to the delay of high rank patterns generation, resulting in the slow growth of the support threshold and the mining efficiency. Aiming at this problem, a greedy-strategy-based top-rank-k frequent patterns hybrid mining algorithm (GTK) is proposed in this paper. In this algorithm, top-rank-k patterns are stored in a static doubly linked list called RSL, and the patterns are divided into short patterns and long patterns. The short… More >

Pérez Cuadra V, V Cambi

Phyton-International Journal of Experimental Botany, Vol.83, pp. 389-396, 2014, DOI:10.32604/phyton.2014.83.389

Abstract The halophytic community of Salitral de la Vidriera (Buenos Aires Province, Argentina) has species with different morphoanatomical functional traits. The aim of this study was to compare these traits in four species, two Asteraceae (Baccharis spartioides and B. tenella) and two Frankeniaceae (Frankenia juniperoides and F. pulverulenta). Leaves and stems were treated under traditional techniques for anatomical study. Leaves the of Asteraceae and F. pulverulenta were amphistomatic while in F. juniperoides they were hypostomatic. All species showed trichomes and only the Frankeniaceae had salt glands. The mesophyll was isolateral in Asteraceae, and dorsiventral in Frankeniaceae; the number of foliar vascular… More >

Maldonado FI¹, JF Ramírez², M Rubí², X Antonio³, AV Lara⁴, AD Acosta⁴, R Rivera⁴, AL Ávila⁵

Phyton-International Journal of Experimental Botany, Vol.86, pp. 97-111, 2017, DOI:10.32604/phyton.2017.86.097

Abstract Avocado (Lauraceae: Persea americana Mill.) is a crop of great economic importance for Mexico in terms of perennial production systems, since in recent years the marketing of this fruit has increased markedly at national and international levels. In 2013, 168113.64 ha were cultivated in Mexico, with an average yield of 10.2 ton/ha, obtaining a production of approximately 1467837.35 ton. Like any other fruit can suffer damage from pests (insects, nematodes, mites etc.) and diseases (caused by fungi, bacteria and viruses). In this regard, one of the most problematic insects is rankliniella occidentalis, which causes significant crop losses, feeding preferably on… More >

Won-Chol Yang^1.*, Son-Hak Chon¹, Chol-Min Choe¹, Un-Ha Kim¹

Journal on Artificial Intelligence, Vol.1, No.2, pp. 89-99, 2019, DOI:10.32604/jai.2019.07885

Abstract Materials selection is a multiple attribute decision making (MADM) problem. A lot of MADM methods are applicable to materials selection, and it may produce considerable differences between the results of materials selection. But it is unknown which MADM method is better. So it is desirable to decide reasonable final result of materials selection in consideration of the individual results from different MADM methods. In this paper, materials selection method combined with different MADM methods is proposed. The method is based on final ranks of alternative materials, where the final ranks are determined from the ranks of the alternative materials using… More >

Qian Dang¹, Huafeng Zhang¹, Bo Zhao², Yanwen He², Shiming He^3,*, Hye-Jin Kim⁴

Journal on Internet of Things, Vol.1, No.1, pp. 1-7, 2019, DOI:10.32604/jiot.2019.05804

Abstract As the development of smart grid and energy internet, this leads to a significant increase in the amount of data transmitted in real time. Due to the mismatch with communication networks that were not designed to carry high-speed and real time data, data losses and data quality degradation may happen constantly. For this problem, according to the strong spatial and temporal correlation of electricity data which is generated by human’s actions and feelings, we build a low-rank electricity data matrix where the row is time and the column is user. Inspired by matrix decomposition, we divide the low-rank electricity data… More >

Qidi Wu¹, Yibing Li¹, Yun Lin^1,*, Ruolin Zhou²

CMC-Computers, Materials & Continua, Vol.56, No.1, pp. 91-105, 2018, DOI: 10.3970/cmc.2018.02771

Abstract The conventional sparse representation-based image classification usually codes the samples independently, which will ignore the correlation information existed in the data. Hence, if we can explore the correlation information hidden in the data, the classification result will be improved significantly. To this end, in this paper, a novel weighted supervised spare coding method is proposed to address the image classification problem. The proposed method firstly explores the structural information sufficiently hidden in the data based on the low rank representation. And then, it introduced the extracted structural information to a novel weighted sparse representation model to code the samples in… More >

Zhendong Luo¹, Fei Teng²

CMES-Computer Modeling in Engineering & Sciences, Vol.101, No.1, pp. 33-58, 2014, DOI:10.3970/cmes.2014.101.033

Abstract A semi-discrete Crank-Nicolson (CN) formulation about time and a fully discrete stabilized CN finite volume element (SCNFVE) formulation based on two local Gauss integrals and parameter-free with the second-order time accuracy are established for the non-stationary Navier-Stokes equations. The error estimates of the semi-discrete and fully discrete SCNFVE solutions are derived. Some numerical experiments are presented to illustrate that the fully discrete SCNFVE formulation possesses more advantages than its stabilized finite volume element formulation with the first-order time accuracy, thus validating that the fully discrete SCNFVE formulation is feasible and efficient for finding the numerical solutions of the non-stationary Navier-Stokes… More >

M. Amdi¹, M. Souli¹, J. Hargreaves², F. Erchiqui³

CMES-Computer Modeling in Engineering & Sciences, Vol.85, No.4, pp. 329-346, 2012, DOI:10.3970/cmes.2012.085.329

Abstract Simulation of vibroacoustic problems becomes more and more the focus of engineering in the last decades for acoustic comfort in automotive industry to reduce noise and vibration inside a cabin and also in sport industry to analyze sound produced by a club impacting a golf ball to avoid unexpected noise problems during the design process. Traditionally, Finite element and Boundary element methods are used in frequency domain to model pressure noise from structure vibration in low and mid frequency range. These methods require velocity in frequency domain on the vibrating structure as boundary conditions. To analyze pressure noise from impact… More >