Open Access
EDITORIAL
Yingjun Wang1,*, Zhenpei Wang2, Xiaowei Deng3, David J. Benson4, Damiano Pasini5, Shuting Wang6
CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 783-785, 2020, DOI:10.32604/cmes.2020.013234
（This article belongs to this Special Issue: Recent Developments of Isogeometric Analysis and its Applications in Structural Optimization)
Abstract This article has no abstract. More >
Open Access
ARTICLE
Daoyuan Yu, Shouyu Cai*, Wenya Fan, Lan Zhang*
CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 787-806, 2020, DOI:10.32604/cmes.2020.09936
（This article belongs to this Special Issue: Recent Developments of Isogeometric Analysis and its Applications in Structural Optimization)
Abstract In this study, a patch removing based Isogeometric analysis (PR-IGA)
method is proposed to conduct the holed structural analysis with only one parametric domain, in which there are also no trimmed elements. The theoretical foundation of this novel patch removing approach is that any holed structure can be
obtained by removing sub-patches (i.e., the holes) from an intact base patch. Since
the parametric domains of these patches are all meshed by rectangular grids, the
elements in the resulted holed structural parametric domain could all be
untrimmed rectangles under certain mapping conditions. To achieve the special
condition, a systematic technique consisting… More >
Open Access
ARTICLE
Hongyin Yang1,2, Jiwei Zhong1,*, Ying Wang3, Xingquan Chen2, Xiaoya Bian2
CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 807-824, 2020, DOI:10.32604/cmes.2020.010936
（This article belongs to this Special Issue: Recent Developments of Isogeometric Analysis and its Applications in Structural Optimization)
Abstract In this paper, general interpolating isogeometric boundary node method
(IIBNM) and isogeometric boundary element method (IBEM) based on parameter
space are proposed for 2D elasticity problems. In both methods, the integral cells
and elements are defined in parameter space, which can reproduce the geometry
exactly at all the stages. In IIBNM, the improved interpolating moving leastsquare method (IIMLS) is applied for field approximation and the shape functions
have the delta function property. The Lagrangian basis functions are used for field
approximation in IBEM. Thus, the boundary conditions can be imposed directly
in both methods. The shape functions are defined in… More >
Open Access
ARTICLE
Farnaz Ismail1, Mubashir Qayyum2, *, Syed Inayat Ali Shah1
CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 825-845, 2020, DOI:10.32604/cmes.2020.011073
Abstract Modeling and analysis of thin film flow with respect to magneto hydro
dynamical effect has been an important theme in the field of fluid dynamics, due
to its vast industrial applications. The analysis involves studying the behavior and
response of governing equations on the basis of various parameters such as thickness of the film, film surface profile, shear stress, liquid velocity, volumetric flux,
vorticity, gravity, viscosity among others, along with different boundary conditions. In this article, we extend this analysis in fractional space using a homotopy
based scheme, considering the case of a Non-Newtonian Pseudo-Plastic fluid for
lifting and drainage… More >
Open Access
ARTICLE
Jianwei Chen, Jianbo Li*, Ying Li
CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 847-864, 2020, DOI:10.32604/cmes.2020.010240
Abstract Predicting human mobility has great significance in Location based
Social Network applications, while it is challenging due to the impact of historical
mobility patterns and current trajectories. Among these challenges, historical patterns tend to be crucial in the prediction task. However, it is difficult to capture
complex patterns from long historical trajectories. Motivated by recent success
of Convolutional Neural Network (CNN)-based methods, we propose a Union
ConvGRU (UCG) Net, which can capture long short-term patterns of historical
trajectories and sequential impact of current trajectories. Specifically, we first
incorporate historical trajectories into hidden states by a shared-weight layer,
and then utilize… More >
Open Access
ARTICLE
Lei Li, Guolai Yang*, Jiahao Li
CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 865-884, 2020, DOI:10.32604/cmes.2020.010720
Abstract This paper proposes a probabilistic life calculation method of NdFeB
based on brittle fatigue damage model. Firstly, Zhu-Wang-Tang (ZWT) constitutive model considering strain rate is established, and based on this, a numerical
co-simulation model for NdFeB life calculation is constructed. The life distribution diagram of NdFeB under different stress levels is obtained after simulation.
Secondly, a new model of brittle fatigue damage based on brittle damage mechanism is proposed. Then the parameters in the model are identified according to the
life distribution diagram of NdFeB and the parameter distribution of the damage
evolution model when applied to NdFeB is obtained.… More >
Open Access
ARTICLE
Yi Wang*, Mohan Lin
CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 885-914, 2020, DOI:10.32604/cmes.2020.09810
Abstract Due to the interaction and corrosion of the seawater, submarine pipelines are easy to be broken to spill oil. The special environment of subsea restricts
the technical development of pipeline maintenance. Therefore, the study on the oil
spilling model of submarine pipeline is very important for predicting the movement and diffusion of spilled oil, so that oil spilling traces and relating strategies
can be determined. This paper aims to establish an oil spilling model of a submarine pipeline, study the movement characteristics of spilled oil in seawater by
numerical simulation, and determine the traces, diffusion range, time to sea surface,… More >
Open Access
ARTICLE
Siraj-ul-Islam1, Arshed Ali2,*, Aqib Zafar1, Iltaf Hussain1
CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 915-935, 2020, DOI:10.32604/cmes.2020.011218
Abstract Differential quadrature method is employed by numerous researchers due to its
numerical accuracy and computational efficiency, and is mentioned as potential alternative
of conventional numerical methods. In this paper, a differential quadrature based numerical
scheme is developed for solving volterra partial integro-differential equation of second
order having a weakly singular kernel. The scheme uses cubic trigonometric B-spline
functions to determine the weighting coefficients in the differential quadrature approximation
of the second order spatial derivative. The advantage of this approximation is that it reduces
the problem to a first order time dependent integro-differential equation (IDE). The proposed
scheme is obtained in… More >
Open Access
ARTICLE
Haitao Yue1, Chenguang Guo1,*, Qiang Li1, Lijuan Zhao1, Guangbo Hao2
CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 937-952, 2020, DOI:10.32604/cmes.2020.010565
Abstract To improve the milling surface quality of the Al-Li alloy thin-wall
workpieces and reduce the cutting energy consumption. Experimental research
on the milling processing of AA2195 Al-Li alloy thin-wall workpieces based
on Response Surface Methodology was carried out. The single factor and interaction of milling parameters on surface roughness and specific cutting energy were
analyzed, and the multi-objective optimization model was constructed. The Multiobjective Particle Swarm Optimization algorithm introducing the Chaos Local
Search algorithm and the adaptive inertial weight was applied to determine the
optimal combination of milling parameters. It was observed that surface roughness was mainly influenced by feed… More >
Open Access
ARTICLE
Dumitru Baleanu1,2, Behzad Ghanbari3, Jihad H. Asad4,*, Amin Jajarmi5, Hassan Mohammadi Pirouz5
CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 953-968, 2020, DOI:10.32604/cmes.2020.010236
Abstract In this work, a system of three masses on the vertices of equilateral triangle is investigated. This system is known in the literature as a planar system.
We first give a description to the system by constructing its classical Lagrangian.
Secondly, the classical Euler-Lagrange equations (i.e., the classical equations of
motion) are derived. Thirdly, we fractionalize the classical Lagrangian of the system, and as a result, we obtain the fractional Euler-Lagrange equations. As the
final step, we give the numerical simulations of the fractional model, a new model
which is based on Caputo fractional derivative. More >
Open Access
ARTICLE
Mahmoud H. Taha1, Mohamed A. Ramadan2,*, Dumitru Baleanu3,4,5, Galal M. Moatimid1
CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 969-983, 2020, DOI:10.32604/cmes.2020.010942
Abstract The current paper is concerned with a modified Homotopy perturbation
technique. This modification allows achieving an exact solution of an initial value
problem of the fractional differential equation. The approach is powerful, effective, and promising in analyzing some classes of fractional differential equations
for heat conduction problems and other dynamical systems. To crystallize the new
approach, some illustrated examples are introduced. More >
Open Access
ARTICLE
Wenxuan Wang*, Xiaoyi Wang
CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 985-1000, 2020, DOI:10.32604/cmes.2020.09006
（This article belongs to this Special Issue: Novel Methods for Reliability Evaluation and Optimization of Complex Mechanical Structures)
Abstract The importance analysis method represents a powerful tool for quantifying the impact of input uncertainty on the output uncertainty. When an input
variable is described by a specific interval rather than a certain probability distribution, the interval importance measure of input interval variable can be calculated by the traditional non-probabilistic importance analysis methods.
Generally, the non-probabilistic importance analysis methods involve the Monte
Carlo simulation (MCS) and the optimization-based methods, which both have
high computational cost. In order to overcome this problem, this study proposes
an interval important analytical method avoids the time-consuming optimization
process. First, the original performance function is… More >
Open Access
ARTICLE
Liying Wang1 , Zhiqiang Xu2, Shuihua Wang3,4,5,*
CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 1001-1015, 2020, DOI:10.32604/cmes.2020.010753
（This article belongs to this Special Issue: Recent Advances on Deep Learning for Medical Signal Analysis (RADLMSA))
Abstract Artificial Intelligence (AI) becomes one hotspot in the field of the medical images analysis and provides rather promising solution. Although some
research has been explored in smart diagnosis for the common diseases of urinary
system, some problems remain unsolved completely A nine-layer Convolutional
Neural Network (CNN) is proposed in this paper to classify the renal Computed
Tomography (CT) images. Four group of comparative experiments prove the
structure of this CNN is optimal and can achieve good performance with average
accuracy about 92.07 ± 1.67%. Although our renal CT data is not very large, we
do augment the training data by… More >
Open Access
ARTICLE
Inzamam Mashood Nasir1, Muhammad Attique Khan1,*, Majed Alhaisoni2, Tanzila Saba3, Amjad Rehman3, Tassawar Iqbal4
CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 1017-1033, 2020, DOI:10.32604/cmes.2020.010943
（This article belongs to this Special Issue: Recent Advances on Deep Learning for Medical Signal Analysis (RADLMSA))
Abstract Comic character detection is becoming an exciting and growing
research area in the domain of machine learning. In this regard, recently, many
methods are proposed to provide adequate performance. However, most of these
methods utilized the custom datasets, containing a few hundred images and fewer
classes, to evaluate the performances of their models without comparing it, with
some standard datasets. This article takes advantage of utilizing a standard publicly dataset taken from a competition, and proposes a generic data balancing
technique for imbalanced dataset to enhance and enable the in-depth training of
the CNN. In addition, to classify the superheroes… More >
Open Access
ARTICLE
Ning Wu1,2, Yi Yang1,*, Lian Li1, Zhongliang Yang3, Poli Shang4, Weibo Ma5, Zhenru Liu5
CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 1035-1048, 2020, DOI:10.32604/cmes.2020.010450
（This article belongs to this Special Issue: Information Hiding and Multimedia Security)
Abstract In the field of information hiding, text is less redundant, which leads to
less space to hide information and challenging work for researchers. Based on the
Markov chain model, this paper proposes an improved evaluation index and onebit embedding coverless text steganography method. In the steganography process, this method did not simply take the transition probability as the optimization
basis of the steganography model, but combined it with the sentence length in the
corresponding nodes in the model to gauge sentence quality. Based on this, only
two optimal conjunctions of the current words are retained in the method to generate… More >
Open Access
ARTICLE
Karim Hammoudi1,2,*, Adnane Cabani3, Halim Benhabiles4, Mahmoud Melkemi1,2
CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 1049-1059, 2020, DOI:10.32604/cmes.2020.011663
（This article belongs to this Special Issue: Computer Modelling of Transmission, Spread, Control and Diagnosis of COVID-19)
Abstract In a context of a virus that is transmissive by sputtering, wearing masks
appear necessary to protect the wearer and to limit the propagation of the disease.
Currently, we are facing the 2019–2020 coronavirus pandemic. Coronavirus disease 2019 (COVID-19) is an infectious disease with first symptoms similar to the
flu. The symptom of COVID-19 was reported first in China and very quickly
spreads to the rest of the world. The COVID-19 contagiousness is known to be
high by comparison with the flu. In this paper, we propose a design of a mobile
application for permitting everyone having a smartphone and… More >
Open Access
ARTICLE
Chunjing Wang*, Li Liu, Yanyan Tan*
CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 1061-1083, 2020, DOI:10.32604/cmes.2020.010198
（This article belongs to this Special Issue: Security Enhancement of Image Recognition System in IoT based Smart Cities)
Abstract The implementation of content-based image retrieval (CBIR) mainly
depends on two key technologies: image feature extraction and image feature
matching. In this paper, we extract the color features based on Global Color Histogram (GCH) and texture features based on Gray Level Co-occurrence Matrix
(GLCM). In order to obtain the effective and representative features of the image,
we adopt the fuzzy mathematical algorithm in the process of color feature extraction and texture feature extraction respectively. And we combine the fuzzy color
feature vector with the fuzzy texture feature vector to form the comprehensive
fuzzy feature vector of the image according to… More >
Open Access
ARTICLE
Donghua Dai1,2, Dongdong Gu1,2,*, Qing Ge1,2, Chenglong Ma1,2, Xinyu Shi1,2, Han Zhang1,2
CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 1085-1098, 2020, DOI:10.32604/cmes.2020.010927
（This article belongs to this Special Issue: Design & simulation in Additive Manufacturing)
Abstract The three-dimensional physical model of the randomly packed powder
material irradiated by the laser beam was established, taking into account the
transformation of the material phase, the melt spreading and the interaction of
the free surface of the molten pool and the recoiling pressure caused by the material evaporation during the selective laser melting. Influence of the processing
parameters on the thermal behavior, the material evaporation, the surface morphology and the densification behavior in the connection region of the molten
pool and the substrate was studied. It was shown that the powder material underwent the transformation from the partial melting… More >
Open Access
ARTICLE
Xiaojun Chen1, Di Wang1,*, Wenhao Dou1, Yimeng Wang1, Yongqiang Yang1, Jianhua Wang2, Jie Chen1
CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 1099-1117, 2020, DOI:10.32604/cmes.2020.09619
（This article belongs to this Special Issue: Design & simulation in Additive Manufacturing)
Abstract In order to meet the clinical requirements of spine surgery, this paper
proposed the exploratory research of computer-aided design and selective laser
melting (SLM) fabrication of a bionic porous titanium spine implant. The structural design of the spinal implant is based on CT scanning data to ensure correct
matching, and the mechanical properties of the implant are verified by simulation
analysis and laser selective melting experiment. The surface roughness of the
spinal implant manufactured by SLM without post-processing is Ra 15 μm, and
the implant is precisely jointed with the photosensitive resin model of the upper
and lower spine. The… More >
Open Access
ARTICLE
Wanxin Zhang1,*, Jihong Zhu2
CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 1119-1130, 2020, DOI:10.32604/cmes.2020.010986
（This article belongs to this Special Issue: Machine Learning based Methods for Mechanics)
Abstract With the increasing demand for the automation of operations and processes in mechatronic systems, fault detection and diagnosis has become a major
topic to guarantee the process performance. There exist numerous studies on the
topic of applying artificial intelligence methods for fault detection and diagnosis.
However, much of the focus has been given on the detection of faults. In terms of
the diagnosis of faults, on one hand, assumptions are required, which restricts the
diagnosis range. On the other hand, different faults with similar symptoms cannot
be distinguished, especially when the model is not trained by plenty of data. In… More >
Open Access
ARTICLE
Xiaorui Zhang1,2,*, Xuefeng Yu1, Wei Sun2, Aiguo Song3
CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 1131-1147, 2020, DOI:10.32604/cmes.2020.09735
（This article belongs to this Special Issue: Computer Methods in Bio-mechanics and Biomedical Engineering)
Abstract In order to solve the problem of high computing cost and low simulation accuracy caused by discontinuity of incision in traditional meshless model,
this paper proposes a soft tissue deformation model based on the Marquardt algorithm and enrichment function. The model is based on the element-free Galerkin
method, in which Kelvin viscoelastic model and adjustment function are integrated. Marquardt algorithm is applied to fit the relation between force and displacement caused by surface deformation, and the enrichment function is applied to
deal with the discontinuity in the meshless method. To verify the validity of the
model, the Sensable Phantom Omni… More >
Open Access
ARTICLE
Yonghong Zhang1,2, Guangyi Ma1,2,*, Wei Tian3, Jiangeng Wang4, Shiwei Chen1,2
CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 1149-1165, 2020, DOI:10.32604/cmes.2020.010932
（This article belongs to this Special Issue: Intelligent Models for Security and Resilience in Cyber Physical Systems)
Abstract Snow cover is an important parameter in the fields of computer modeling, engineering technology and energy development. With the extensive growth of
novel hardware and software compositions creating smart, cyber physical systems’
(CPS) efficient end-to-end workflows. In order to provide accurate snow detection
results for the CPS’s terminal, this paper proposed a snow cover detection algorithm
based on the unsupervised Gaussian mixture model (GMM) for the FY-4A satellite
data. At present, most snow cover detection algorithms mainly utilize the characteristics of the optical spectrum, which is based on the normalized difference snow
index (NDSI) with thresholds in different wavebands. These… More >
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