Open Access
ARTICLE
Jie Bai1,#, Liqiang Lin1,#, Xiaowei Zeng 1,*
CMES-Computer Modeling in Engineering & Sciences, Vol.121, No.3, pp. 787-800, 2019, DOI:10.32604/cmes.2019.07159
Abstract The collective cell migration behavior on a substrate was studied using RKPM
meshfree method. The cells were modeled as nematic liquid crystal with hyperelastic cell
nucleus. The cell-substrate and cell-cell interactions were modeled by coarse-grained
potential forces. Through this study, the pulling and pushing phenomenon during collective
cell migration process was observed and it was found that the individual cell mobility
significantly influenced the collective cell migratory behavior. More self-propelled cells
are in the system along the same direction, the faster the collective group migrates toward
coordinated direction. The parametric study on cell-cell adhesion strength indicated that as
the adhesion… More >
Open Access
ARTICLE
D. Vijeswaran1,*, V. Manikandan2
CMES-Computer Modeling in Engineering & Sciences, Vol.121, No.3, pp. 801-813, 2019, DOI:10.32604/cmes.2019.07793
Abstract In a cyber-physical micro-grid system, wherein the control functions are
executed through open communication channel, stability is an important issue owing to
the factors related to the time-delay encountered in the data transfer. Transfer of feedback
variable as discrete data packets in communication network invariably introduces
inevitable time-delays in closed loop control systems. This delay, depending upon the
network traffic condition, inherits a time-varying characteristic; nevertheless, it adversely
impacts the system performance and stability. The load perturbations in a micro-grid
system are considerably influenced by the presence of fluctuating power generators like
wind and solar power. Since these non-conventional energy… More >
Open Access
ARTICLE
Sasan Saqaeeyan1, Hamid Haj Seyyed Javadi1,2,*, Hossein Amirkhani1,3
CMES-Computer Modeling in Engineering & Sciences, Vol.121, No.3, pp. 815-834, 2019, DOI:10.32604/cmes.2019.07848
Abstract Anomaly detection in smart homes provides support to enhance the health and
safety of people who live alone. Compared to the previous studies done on this topic, less
attention has been given to hybrid methods. This paper presents a two-steps hybrid
probabilistic anomaly detection model in the smart home. First, it employs various algorithms
with different characteristics to detect anomalies from sensory data. Then, it aggregates their
results using a Bayesian network. In this Bayesian network, abnormal events are detected
through calculating the probability of abnormality given anomaly detection results of base
methods. Experimental evaluation of a real dataset indicates… More >
Open Access
ARTICLE
Long Yu1, Kesong Xu1, Jun Wan2, Haiyan Lu3,*, Shengzhang Wang1,*
CMES-Computer Modeling in Engineering & Sciences, Vol.121, No.3, pp. 835-844, 2019, DOI:10.32604/cmes.2019.07428
Abstract Fractional flow reserve (FFR) computed from computed tomography
angiography (CTA), i.e., FFRCT has been used in the clinic as a noninvasive parameter for
functional assessment of coronary artery stenosis. It has also been suggested to be used in
the assessment of carotid artery stenosis. The wall thickness of the vessel is an important
parameter when establishing a fluid-structure coupling model of carotid stenosis. This
work studies the effect of the vessel wall thickness on hemodynamic parameters such as
FFRCT in carotid stenosis. Models of carotid stenosis are established based on CTA image
data using computer-aided design software. It is assumed… More >
Open Access
REVIEW
Youqin Huang1, Jiayong Li1, Jiyang Fu1,*
CMES-Computer Modeling in Engineering & Sciences, Vol.121, No.3, pp. 845-875, 2019, DOI:10.32604/cmes.2019.07653
Abstract In last few years, big data and deep learning technologies have been
successfully applied in various fields of civil engineering with the great progress of
machine learning techniques. However, until now, there has been no comprehensive
review on its applications in civil engineering. To fill this gap, this paper reviews the
application and development of artificial intelligence in civil engineering in recent years,
including intelligent algorithms, big data and deep learning. Through the work of this
paper, the research direction and difficulties of artificial intelligence in civil engineering
for the past few years can be known. It is shown that… More >
Open Access
ARTICLE
Ali Maghami1, Farzad Shahabian1, Seyed Mahmoud Hosseini2,*
CMES-Computer Modeling in Engineering & Sciences, Vol.121, No.3, pp. 877-907, 2019, DOI:10.32604/cmes.2019.08019
Abstract The suitability of six higher order root solvers is examined for solving the
nonlinear equilibrium equations in large deformation analysis of structures. The applied
methods have a better convergence rate than the quadratic Newton-Raphson method. These
six methods do not require higher order derivatives to achieve a higher convergence rate.
Six algorithms are developed to use the higher order methods in place of the NewtonRaphson
method to solve the nonlinear equilibrium equations in geometrically nonlinear
analysis of structures. The higher order methods are applied to both continuum and discrete
problems (spherical shell and dome truss). The computational cost and the… More >
Open Access
ARTICLE
Tingting Wu1, Yunwei Dong1,*
CMES-Computer Modeling in Engineering & Sciences, Vol.121, No.3, pp. 909-928, 2019, DOI:10.32604/cmes.2019.07809
Abstract The application of metamorphic testing (MT) on automatic program repair
(APR-MT) is used to generate a patch without test oracles by examining whether the input
metamorphic relation (MR) is satisfied or not. However, the delivered patch is plausible
since it may satisfy the input MR but violate other MRs. This inspires us to propose an
improved approach to enhance the effectiveness of APR-MT with metamorphic relation
group. Our approach involves three major steps. First, we formally define the repair process
of APR-MT by building the model of automatic program repair and metamorphic testing
separately. Then, we propose the advanced model… More >
Open Access
ARTICLE
Zhenxia Mu1, Xiaofei Xue1, Minrui Fu1, Dawei Zhao1, Bin Gao1, Yu Chang1,*
CMES-Computer Modeling in Engineering & Sciences, Vol.121, No.3, pp. 929-945, 2019, DOI:10.32604/cmes.2019.07627
Abstract In this work, the hemodynamic effects of the type-A aortic dissection in
different entry and covering entry tear positions were mainly studied. It provides a new
method or idea in the field of the aortic dissection hemodynamics, and it is of profound
significance to provide basic theoretical research on the development of aortic dissection
in the aspect of clinical judgment. Two type-A aortic dissection models with different
entry tear positions (Model 1: The entry tear was located at the entrance of the ascending
aorta, Model 2: The entry tear was located at the starting position of the descending aorta)
were… More >
Open Access
ARTICLE
S. Rout1, S. Chakraverty1,*
CMES-Computer Modeling in Engineering & Sciences, Vol.121, No.3, pp. 947-980, 2019, DOI:10.32604/cmes.2019.08036
Abstract The dynamic analysis of damped structural system by using finite element
method leads to nonlinear eigenvalue problem (NEP) (particularly, quadratic eigenvalue
problem). In general, the parameters of NEP are considered as exact values. But in actual
practice because of different errors and incomplete information, the parameters may have
uncertain or vague values and such uncertain values may be considered in terms of fuzzy
numbers. This article proposes an efficient fuzzy-affine approach to solve fully fuzzy
nonlinear eigenvalue problems (FNEPs) where involved parameters are fuzzy numbers
viz. triangular and trapezoidal. Based on the parametric form, fuzzy numbers have been
transformed into… More >
Open Access
ARTICLE
Jianjun Gan1,2, Y. X. Zhang2,*
CMES-Computer Modeling in Engineering & Sciences, Vol.121, No.3, pp. 981-1009, 2019, DOI:10.32604/cmes.2019.07337
Abstract This study proposes a comprehensive method, which consists of field
investigation, flume test and numerical simulation, to predict the velocity and sediment
thickness of debris flow. The velocity and sediment thickness of the debris flow in
mountainous areas can provide critical data to evaluate the geohazard, which will in turn
help to understand the debris runout. The flume test of this debris prototype can provide
friction coefficient and viscosity coefficient which are important for numerical simulation
of debris flow. The relation between the key parameters in the numerical modelling using
the Voellmy model and debris-flow rheology is discussed. Through simulation… More >
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