Open Access
ARTICLE
Soukaina Mjahed1,*, Khadija Bouzaachane1, Ahmad Taher Azar2,3, Salah El Hadaj1, Said Raghay1
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 459-494, 2020, DOI:10.32604/cmes.2020.010791
Abstract This paper focuses on the unsupervised detection of the Higgs boson
particle using the most informative features and variables which characterize
the “Higgs machine learning challenge 2014” data set. This unsupervised
detection goes in this paper analysis through 4 steps: (1) selection of the most
informative features from the considered data; (2) definition of the number of
clusters based on the elbow criterion. The experimental results showed that
the optimal number of clusters that group the considered data in an unsupervised manner corresponds to 2 clusters; (3) proposition of a new approach
for hybridization of both hard and fuzzy clustering… More >
Open Access
ARTICLE
Zhiyuan Liu1,2, Xin Tan2, Xiaobo Liu1,2, Pingan Chen1,2, Ke Yi1,2, Tianzhi Yang1,2, Qiao Ni3,4, Lin Wang3,4,*
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 495-514, 2020, DOI:10.32604/cmes.2020.012030
Abstract Cantilevered pipe conveying fluid may become unstable and flutter
instability would occur when the velocity of the fluid flow in the pipe exceeds
a critical value. In the present study, the theoretical model of a cantilevered
fluid-conveying pipe attached by an inerter-based dynamic vibration absorber
(IDVA) is proposed and the stability of this dynamical system is explored.
Based on linear governing equations of the pipe and the IDVA, the effects
of damping coefficient, weight, inerter, location and spring stiffness of the
IDVA on the critical flow velocities of the pipe system is examined. It is shown
that the stability of… More >
Open Access
ARTICLE
Yi Yang, Robert Nawrocki, Richard Voyles, Haiyan H. Zhang*
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 515-539, 2020, DOI:10.32604/cmes.2020.010165
Abstract Equipped with a two-dimensional topological structure, a group
of masses, springs and dampers can be demonstrated to model the internal
dynamics of a thin-film transistor (TFT). In this paper, the two-dimensional
Mass-Spring-Damper (MSD) representation of an inverted staggered TFT
is proposed to explore the TFT’s internal stress/strain distributions, and the
stress-induced effects on TFT’s electrical characteristics. The 2D MSD model
is composed of a finite but massive number of interconnected cellular units.
The parameters, such as mass, stiffness, and damping ratios, of each cellular
unit are approximated from constitutive equations of the composite materials,
while the electrical properties of the… More >
Open Access
ARTICLE
Jingfa Li1, Bo Yu1,*, Qianqian Shao2, Dongliang Sun1
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 541-563, 2020, DOI:10.32604/cmes.2020.011835
Abstract In this work, the drag-reducing mechanism of high-Reynoldsnumber turbulent channel flow with surfactant additives is investigated by
using large eddy simulation (LES) method. An N-parallel finitely extensible
nonlinear elastic model with Peterlin’s approximation (FENE-P) is used to
describe the rheological behaviors of non-Newtonian fluid with surfactant.
To close the filtered LES equations, a hybrid subgrid scale (SGS) model
coupling the spatial filter and temporal filter is applied to compute the subgrid
stress and other subfilter terms. The finite difference method and projection
algorithm are adopted to solve the LES governing equations. To validate
the correctness of our LES method and… More >
Open Access
ARTICLE
Anber Saleem1,2, Salman Akhtar3, Sohail Nadeem3,*, Alibek Issakhov4, Mehdi Ghalambaz5,6
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 565-577, 2020, DOI:10.32604/cmes.2020.011883
Abstract The blood flow through a catheterized artery having a mild stenosis at the wall together with a blood clot at the centre is studied in the
current investigation. Stenosis can occur in vessels carrying blood to brain
(i.e., Carotid arteries), Renal arteries that supply blood to kidneys etc. The
flow is refined in such vessels by application of catheter. We have used a
Newtonian viscous fluid model and also distinct shapes of stenosis, (i.e.,
symmetric and non-symmetric shapes) are considered for this study. The
entropy generation together with viscous dissipation is also taken into account
for a complete description of… More >
Open Access
ARTICLE
Xing Deng1,2, Haijian Shao1,2,*, Liang Shi3, Xia Wang4,5, Tongling Xie6
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 579-596, 2020, DOI:10.32604/cmes.2020.011920
Abstract The Coronavirus Disease 2019 (COVID-19) is wreaking havoc
around the world, bring out that the enormous pressure on national health
and medical staff systems. One of the most effective and critical steps in
the fight against COVID-19, is to examine the patient’s lungs based on the
Chest X-ray and CT generated by radiation imaging. In this paper, five
keras-related deep learning models: ResNet50, InceptionResNetV2, Xception, transfer learning and pre-trained VGGNet16 is applied to formulate an
classification–detection approaches of COVID-19. Two benchmark methods
SVM (Support Vector Machine), CNN (Convolutional Neural Networks) are
provided to compare with the classification–detection approaches based on… More >
Open Access
ARTICLE
Ting Zang1, Dongbin Zhu2,*, Guowang Mu1
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 597-610, 2020, DOI:10.32604/cmes.2020.09965
（This article belongs to this Special Issue: Design & simulation in Additive Manufacturing)
Abstract According to the requirement of heterogeneous object modeling
in additive manufacturing (AM), the Non-Uniform Rational B-Spline
(NURBS) method has been applied to the digital representation of heterogeneous object in this paper. By putting forward the NURBS material
data structure and establishing heterogeneous NURBS object model, the
accurate mathematical unified representation of analytical and free heterogeneous objects have been realized. With the inverse modeling of heterogeneous
NURBS objects, the geometry and material distribution can be better
designed to meet the actual needs. Radical Basis Function (RBF) method
based on global surface reconstruction and the tensor product surface
interpolation method are combined… More >
Open Access
ARTICLE
Jiachen Guo1,2, Yunfei Xu2, Zhenyu Jiang1,*, Xiaoyi Liu2, Yang Cai2,*
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 611-623, 2020, DOI:10.32604/cmes.2020.011148
Abstract Both of Buckling and post-buckling are fundamental problems of
geometric nonlinearity in solid mechanics. With the rapid development of
nanotechnology in recent years, buckling behaviors in nanobeams receive
more attention due to its applications in sensors, actuators, transistors, probes,
and resonators in nanoelectromechanical systems (NEMS) and biotechnology. In this work, buckling and post-buckling of copper nanobeam under
uniaxial compression are investigated with theoretical analysis and atomistic
simulations. Different cross sections are explored for the consideration of
surface effects. To avoid complicated high order buckling modes, a stressbased simplified model is proposed to analyze the critical strain for buckling,
maximum deflection,… More >
Open Access
ARTICLE
S. Velliangiri1,*, J. Premalatha2
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 625-645, 2020, DOI:10.32604/cmes.2020.010869
（This article belongs to this Special Issue: Security Enhancement of Image Recognition System in IoT based Smart Cities)
Abstract Different devices in the recent era generated a vast amount of
digital video. Generally, it has been seen in recent years that people are
forging the video to use it as proof of evidence in the court of justice.
Many kinds of researches on forensic detection have been presented, and
it provides less accuracy. This paper proposed a novel forgery detection
technique in image frames of the videos using enhanced Convolutional Neural Network (CNN). In the initial stage, the input video is taken as of
the dataset and then converts the videos into image frames. Next, perform
pre-sampling using the… More >
Open Access
ARTICLE
Yongping Yu1, Lihui Chen1, Juanjuan Wang1, Guoji Liu2,*
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 647-670, 2020, DOI:10.32604/cmes.2020.011067
Abstract The tower line system will be in an unsafe status due to uniform or
uneven fall of ice coating which is attached to the surface of tower and lines.
The fall of ice could be caused by wind action or thermal force. In order to
study the dynamic characteristics of the self-failure of the transmission line
under the action of dynamic wind load, a finite element model of the two-span
transmission tower line system was established. The birth and death element
methods are used to simulate the icing and shedding of the line. Tensile failure
strength is the shedding criterion… More >
Open Access
ARTICLE
S. Jerald Nirmal Kumar1,*, S. Ravimaran2, M. M. Gowthul Alam3
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 671-697, 2020, DOI:10.32604/cmes.2020.09361
Abstract Nowadays, succeeding safe communication and protection-sensitive
data from unauthorized access above public networks are the main worries
in cloud servers. Hence, to secure both data and keys ensuring secured data
storage and access, our proposed work designs a Novel Quantum Key Distribution (QKD) relying upon a non-commutative encryption framework. It
makes use of a Novel Quantum Key Distribution approach, which guarantees high level secured data transmission. Along with this, a shared secret
is generated using Diffie Hellman (DH) to certify secured key generation at
reduced time complexity. Moreover, a non-commutative approach is used,
which effectively allows the users to store… More >
Open Access
ARTICLE
Xianghui Lu1, Junliang Fan2, Lifeng Wu1,*, Jianhua Dong3
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 699-723, 2020, DOI:10.32604/cmes.2020.011004
Abstract It is important for regional water resources management to know
the agricultural water consumption information several months in advance.
Forecasting reference evapotranspiration (ET0) in the next few months is
important for irrigation and reservoir management. Studies on forecasting
of multiple-month ahead ET0 using machine learning models have not been
reported yet. Besides, machine learning models such as the XGBoost model
has multiple parameters that need to be tuned, and traditional methods can
get stuck in a regional optimal solution and fail to obtain a global optimal solution. This study investigated the performance of the hybrid extreme
gradient boosting (XGBoost) model… More >
Open Access
ARTICLE
Junfu Zhu1, Qian Yin1,2,*, Hongwen Jing1, Xinshuai Shi1, Minliang Chen1,3
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 725-753, 2020, DOI:10.32604/cmes.2020.012648
（This article belongs to this Special Issue: Modeling and Simulation of Fluid flows in Fractured Porous Media: Current Trends and Prospects)
Abstract This study experimentally and numerically investigated the anchorage properties, bolt force evolution, deformation and stress fields of blocky
rock mass with various dip angles of joint surfaces under an applied axial
load. The results show that due to bolt reinforcement, the axial stress-strain
curves of anchorage blocky rock mass show typical strain-hardening characteristics, and compared with models without anchorage, the peak strength and
elastic modulus increase by 21.56% and 20.0%, respectively. With an increase
in axial stress, the lateral strain continuously increases, and restriction effects
of bolts reduce the overall deformation of model surfaces. The axial stressstrain curves of anchorage… More >
Open Access
ARTICLE
Baoyin Sun1, 2, Yantai Zhang3, Caigui Huang4, *
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 755-776, 2020, DOI:10.32604/cmes.2020.09632
（This article belongs to this Special Issue: Novel Methods for Reliability Evaluation and Optimization of Complex Mechanical Structures)
Abstract Steel frames equipped with buckling restrained braces (BRBs) have
been increasingly applied in earthquake-prone areas given their excellent
capacity for resisting lateral forces. Therefore, special attention has been paid
to the seismic risk assessment (SRA) of such structures, e.g., seismic fragility
analysis. Conventional approaches, e.g., nonlinear finite element simulation
(NFES), are computationally inefficient for SRA analysis particularly for
large-scale steel BRB frame structures. In this study, a machine learning (ML)-
based seismic fragility analysis framework is established to effectively assess
the risk to structures under seismic loading conditions. An optimal artificial neural network model can be trained using calculated damage… More >
Open Access
ARTICLE
Jiaqi He1, Yangjun Luo1,2,*
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 777-800, 2020, DOI:10.32604/cmes.2020.010688
（This article belongs to this Special Issue: Novel Methods for Reliability Evaluation and Optimization of Complex Mechanical Structures)
Abstract For structures that only the predicted bounds of uncertainties are
available, this study proposes a Bayesian method to logically evaluate the nonprobabilistic reliability of structures based on multi-ellipsoid convex model
and performance test data. According to the given interval ranges of uncertainties, we determine the initial characteristic parameters of a multi-ellipsoid
convex set. Moreover, to update the plausibility of characteristic parameters,
a Bayesian network for the information fusion of prior uncertainty knowledge and subsequent performance test data is constructed. Then, an updated
multi-ellipsoid set with the maximum likelihood of the performance test data
can be achieved. The credible non-probabilistic reliability… More >
Open Access
ARTICLE
Fan Yang1,2,3,*, Jianwei Ren1,2
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 801-814, 2020, DOI:10.32604/cmes.2020.08889
（This article belongs to this Special Issue: Novel Methods for Reliability Evaluation and Optimization of Complex Mechanical Structures)
Abstract Based on the rapid simulation of Markov Chain on samples in
failure region, a novel method of reliability analysis combining Monte Carlo
Markov Chain (MCMC) with random forest algorithm was proposed. Firstly,
a series of samples distributing around limit state function are generated by
MCMC. Then, the samples were taken as training data to establish the random forest model. Afterwards, Monte Carlo simulation was used to evaluate
the failure probability. Finally, examples demonstrate the proposed method
possesses higher computational efficiency and accuracy. More >
Open Access
ARTICLE
Panagiotis G. Asteris1,*, Maria G. Douvika1, Chrysoula A. Karamani1, Athanasia D. Skentou1, Katerina Chlichlia2, Liborio Cavaleri3, Tryfon Daras4, Danial J. Armaghani5, Theoklis E. Zaoutis6
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 815-828, 2020, DOI:10.32604/cmes.2020.013280
（This article belongs to this Special Issue: Soft Computing Techniques in Materials Science and Engineering)
Abstract The modeling and risk assessment of a pandemic phenomenon such
as COVID-19 is an important and complicated issue in epidemiology, and
such an attempt is of great interest for public health decision-making. To this
end, in the present study, based on a recent heuristic algorithm proposed by
the authors, the time evolution of COVID-19 is investigated for six different
countries/states, namely New York, California, USA, Iran, Sweden and UK.
The number of COVID-19-related deaths is used to develop the proposed
heuristic model as it is believed that the predicted number of daily deaths
in each country/state includes information about the… More >
Open Access
ARTICLE
Chuanyong Qu*, Hui Yuan
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 829-847, 2020, DOI:10.32604/cmes.2020.012407
（This article belongs to this Special Issue: Computer Methods in Bio-mechanics and Biomedical Engineering)
Abstract Microdamage is produced in bone tissue under the long-term effects
of physiological loading, as well as age, disease and other factors. Bone
remodeling can repair microdamage, otherwise this damage will undermine
bone quality and even lead to fractures. In this paper, the damage variable
was introduced into the remodeling algorithm. The new remodeling algorithm
contains a quadratic term that can simulate reduction in bone density after
large numbers of loading cycles. The model was applied in conjunction with
the 3D finite element method (FEM) to the remodeling of the proximal femur.
The results showed that the initial accumulation of fatigue… More >
Open Access
ARTICLE
Weiwen Kong1, Baowei Wang1,2,3,*
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 849-863, 2020, DOI:10.32604/cmes.2020.012818
（This article belongs to this Special Issue: Intelligent Models for Security and Resilience in Cyber Physical Systems)
Abstract Internet of Things (IoT) is a network that connects things in a
special union. It embeds a physical entity through an intelligent perception
system to obtain information about the component at any time. It connects
various objects. IoT has the ability of information transmission, information
perception,andinformationprocessing.Theairqualityforecastinghasalways
been an urgent problem, which affects people’s quality of life seriously. So
far, many air quality prediction algorithms have been proposed, which can be
mainly classifed into two categories. One is regression-based prediction, the
other is deep learning-based prediction. Regression-based prediction is aimed
to make use of the classical regression algorithm and the various… More >
Open Access
ARTICLE
Gen Xu, Danhe Chen, Xiang Zhang, Wenhe Liao*
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 865-878, 2020, DOI:10.32604/cmes.2020.012844
（This article belongs to this Special Issue: Modeling and Analysis of Autonomous Intelligence)
Abstract For the on-orbit flight missions, the model of orbit prediction
is critical for the tasks with high accuracy requirement and limited computing resources of spacecraft. The precession-nutation model, as the main
part of extended orbit prediction, affects the efficiency and accuracy of
on-board operation. In this paper, the previous research about the conversion between the Geocentric Celestial Reference System and International
Terrestrial Reference System is briefly summarized, and a practical concise
precession-nutation model is proposed for coordinate transformation computation based on Celestial Intermediate Pole (CIP). The idea that simplifying
the CIP-based model with interpolation method is driven by characteristics of… More >
Open Access
ARTICLE
Ji-Hwei Horng1, Juan Lin2,*, Yanjun Liu3, Chin-Chen Chang3,4,*
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 879-906, 2020, DOI:10.32604/cmes.2020.09355
（This article belongs to this Special Issue: Information Hiding and Multimedia Security)
Abstract By embedding secret data into cover images, image steganography can
produce non-discriminable stego-images. The turtle shell model for data hiding is
an excellent method that uses a reference matrix to make a good balance between
image quality and embedding capacity. However, increasing the embedding capacity by extending the area of basic structures of the turtle shell model usually
leads to severe degradation of image quality. In this research, we innovatively
extend the basic structure of the turtle shell model into a three-dimensional
(3D) space. Some intrinsic properties of the original turtle shell model are well
preserved in the 3D version.… More >
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