Open Access
REVIEW
Mohammad Maghsoudi-Ganjeh, Xiaodu Wang*, Xiaowei Zeng*
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 1-32, 2020, DOI:10.32604/cmes.2020.012123
Abstract In this review, a brief presentation is first given to the hierarchical
structure and mechanical behavior of bone. Then, the recent advancements
in nanoscale characterization of bone ultrastructure and ingredients are discussed based on an extensive quantity of references in the literature.Moreover,
computational and analytical bone mechanics at ultrastructure levels are critically reviewed with the growing body of knowledge in the field. The computational and analytical models are summarized in several categories for ease of
understanding bone nanomechanics and their applicability/limitations. This
review is expected to provide a well-informed foundation for the researchers
interested in interrogating the complex biomechanical response… More >
Open Access
ARTICLE
Hui Sheng Lim1,*, Christopher K. H. Chin1, Shuhong Chai1, Neil Bose1,2
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 33-50, 2020, DOI:10.32604/cmes.2020.011648
Abstract This paper presents an online AUV (autonomous underwater vehicle)
path planner that employs path replanning approach and the SDEQPSO (selective
differential evolution-hybridized quantum-behaved particle swarm optimization)
algorithm to optimize an AUV mission conducted in an unknown, dynamic and
cluttered ocean environment. The proposed path replanner considered the effect
of ocean currents in path optimization to generate a Pareto-optimal path that
guides the AUV to its target within minimum time. The optimization was based
on the onboard sensor data measured from the environment, which consists of a
priori unknown dynamic obstacles and spatiotemporal currents. Different sensor
arrangements for the forward-looking sonar… More >
Open Access
ARTICLE
Fabio Bruzzone, Cristiana Delprete, Carlo Rosso*
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 51-64, 2020, DOI:10.32604/cmes.2020.011023
Abstract This paper is focused on finite element simulation of cylinder head gaskets. Finite element codes support several methodologies, each of which has its own
strengths and weaknesses. One of the key points lies in the influence of the gasket
geometry on its final behaviour. Such a contribution can come from the detailed
modelling of the gasket or by defining a global non-linear behaviour in which material and geometry non-linearities are summarised. Two approaches were used to
simulate the gasket behaviour. The first one consists in using a 2D approach, which
allows to model through-thickness non-linear behaviour of gasket. The second… More >
Open Access
ARTICLE
Ivan Paulo Canal1,*, Manuel Martin Pérez Reimbold2, Maurício de Campos2
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 65-75, 2020, DOI:10.32604/cmes.2020.010741
Abstract An aircraft quadrotor is a complex control system that allows for great
flexibility in flight. Controlling multirotor aerial systems such as quadrotors is
complex because the variables involved are not always available, known, and
accurate. The inclusion of payload changes the dynamic characteristics of the aircraft, making it necessary to adapt the control system for this situation. Among
the various control methods that have been investigated, proportional-integralderivative (PID) control offers good results and simplicity of application; however, achieving stability and high performance is challenging, with the most
critical task being tuning the controller gains. The Ziegler–Nichols (ZN) theory
was used… More >
Open Access
ARTICLE
Jianrui Zhang1,2, Min Chi1, Bo Qian1,*, Zhijun Qiu2
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 77-94, 2020, DOI:10.32604/cmes.2020.010518
Abstract To accurately perform the coupled simulation of temperature field
and stress field of complex parts and porous structures under the optimal
manufacturing process parameters, three kinds of porous structures with
different complexity were designed in this paper. Firstly, ANSYS additive
software was used to conduct the stress/deformation simulation of the whole
structure under different scanning strategies. Secondly, the optimal scanning
strategy for different porous structures was determined, then the experimental preparation was performed, and mechanical properties of compression
were tested and studied. The results show that the elastic modulus and
yield strength increase with the increase of pole diameter/wall thickness.… More >
Open Access
ARTICLE
Xijun Zhang*, Qirui Zhang
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 95-109, 2020, DOI:10.32604/cmes.2020.011013
Abstract According to the time series characteristics of the trajectory history
data, we predicted and analyzed the traffic flow. This paper proposed a LSTMXGBoost model based urban road short-term traffic flow prediction in order to
analyze and solve the problems of periodicity, stationary and abnormality of time
series. It can improve the traffic flow prediction effect, achieve efficient traffic
guidance and traffic control. The model combined the characteristics of LSTM
(Long Short-Term Memory) network and XGBoost (Extreme Gradient Boosting)
algorithms. First, we used the LSTM model that increases dropout layer to train
the data set after preprocessing. Second, we replaced the… More >
Open Access
ARTICLE
Jia Yang1, Haiyuan Liu1,*, Hao He2
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 111-123, 2020, DOI:10.32604/cmes.2020.010347
Abstract The prediction of intrinsically disordered proteins is a hot research area
in bio-information. Due to the high cost of experimental methods to evaluate disordered regions of protein sequences, it is becoming increasingly important to
predict those regions through computational methods. In this paper, we developed
a novel scheme by employing sequence complexity to calculate six features for
each residue of a protein sequence, which includes the Shannon entropy, the topological entropy, the sample entropy and three amino acid preferences including
Remark 465, Deleage/Roux, and Bfactor(2STD). Particularly, we introduced the
sample entropy for calculating time series complexity by mapping the amino… More >
Open Access
ARTICLE
G. R. Hemalakshmi*, D. Santhi, V. R. S. Mani, A. Geetha, N. B. Prakash
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 125-143, 2020, DOI:10.32604/cmes.2020.011331
Abstract Diabetic retinopathy, aged macular degeneration, glaucoma etc. are
widely prevalent ocular pathologies which are irreversible at advanced stages.
Machine learning based automated detection of these pathologies facilitate
timely clinical interventions, preventing adverse outcomes. Ophthalmologists
screen these pathologies with fundus Fluorescein Angiography Images (FFA)
which capture retinal components featuring diverse morphologies such as
retinal vasculature, macula, optical disk etc. However, these images have
low resolutions, hindering the accurate detection of ocular disorders. Construction of high resolution images from these images, by super resolution
approaches expedites the diagnosis of pathologies with better accuracy. This
paper presents a deep learning network for Single… More >
Open Access
ARTICLE
Dan Li1, Li Ding1, Zhengang Liu2, Qiang Li3, Kaiyun Guo1, Hailin Cao1,4,*
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 145-171, 2020, DOI:10.32604/cmes.2020.010822
Abstract Carbon nanotube (CNT)-reinforced composites have ultra-high
elastic moduli, low densities, and fibrous structures. This paper presents the
multi-scale finite element modeling of CNT-reinforced polymer composites
from micro- to macro-scales. The nanocomposites were modeled using representative volume elements (RVEs), and finite element code was written to simulate the modeling and loading procedure and obtain equivalent mechanical
properties of the RVEs with various volume fractions of CNTs, which can be
used directly in the follow-up simulation studies on the macroscopic model of
CNT-reinforced nanocomposites. When using the programming to simulate
the deformation and fracture process of the CNT-reinforced epoxy composites, the mechanical… More >
Open Access
ARTICLE
An Chen*
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 173-195, 2020, DOI:10.32604/cmes.2020.011871
Abstract In this paper, we consider the numerical schemes for a timefractional Oldroyd-B fluid model involving the Caputo derivative. We propose
two efficient finite element methods by applying the convolution quadrature
in time generated by the backward Euler and the second-order backward
difference methods. Error estimates in terms of data regularity are established
for both the semidiscrete and fully discrete schemes. Numerical examples for
two-dimensional problems further confirm the robustness of the schemes with
first- and second-order accurate in time. More >
Open Access
ARTICLE
Mugang Lin1,2,*, Fangju Liu3, Huihuang Zhao1,2, Jianzhen Chen1,2
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 197-214, 2020, DOI:10.32604/cmes.2020.09502
Abstract Given a connected undirected graph G whose edges are labeled, the
minimum labeling spanning tree (MLST) problem is to find a spanning tree of G with the smallest number of different labels. The MLST is an NP-hard combinatorial optimization problem, which is widely applied in communication
networks, multimodal transportation networks, and data compression. Some
approximation algorithms and heuristics algorithms have been proposed for
the problem. Firey algorithm is a new meta-heuristic algorithm. Because
of its simplicity and easy implementation, it has been successfully applied in
various fields. However, the basic firefly algorithm for the MLST problem is proposed in this… More >
Open Access
ARTICLE
Lan Yang1, Shun Qi2,3,#, Chen Qiao1,*, Yanmei Kang1
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 215-237, 2020, DOI:10.32604/cmes.2020.010796
（This article belongs to this Special Issue: Data Science and Modeling in Biology, Health, and Medicine)
Abstract Schizophrenia (SZ) is one of the most common mental diseases. Its
main characteristics are abnormal social behavior and inability to correctly understand real things. In recent years, the magnetic resonance imaging (MRI) technique has been popularly utilized to study SZ. However, it is still a great challenge
to reveal the essential information contained in the MRI data. In this paper, we
proposed a biomarker selection approach based on the multiple hypothesis testing
techniques to explore the difference between SZ and healthy controls by using
both functional and structural MRI data, in which biomarkers represent both
abnormal brain functional connectivity and… More >
Open Access
ARTICLE
Yinghua Zhang1,2, Jian Liu1, Yunfeng Peng1, Yanfang Dong2, Changming Zhao3,*
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 239-257, 2020, DOI:10.32604/cmes.2020.010778
（This article belongs to this Special Issue: Intelligent Models for Security and Resilience in Cyber Physical Systems)
Abstract Aiming for ultra-reliable low-latency wireless communications required
in industrial internet of things (IIoT) applications, this paper studies a simple cognitive radio non-orthogonal multiple access (CR-NOMA) downlink system. This
system consists of two secondary users (SUs) dynamically interfered by the primary user (PU), and its performance is characterized by the outage probability of
the SU communications. This outage probability is calculated under two conditions where, a) the transmission of PU starts after the channel state information
(CSI) is acquired, so the base station (BS) is oblivious of the interference, and
b) when the BS is aware of the PU interference, and… More >
Open Access
ARTICLE
Yuanchao Zhang1, Zhiyuan Xia2,*, Yujing Jiang1, Miao Chen3, Jiankang Liu1, Qian Yin4
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 259-280, 2020, DOI:10.32604/cmes.2020.011076
（This article belongs to this Special Issue: Modeling and Simulation of Fluid flows in Fractured Porous Media: Current Trends and Prospects)
Abstract Hole-like defects are very common in natural rock or coal mass, and
play an important role in the failure and mechanical behaviors of rock or coal
mass. In this research, multi-holed coal specimens are constructed numerically
and calibrated based on UDEC-GBM models. Then, the strength, deformation
and failure behavior of the porous specimens are analyzed, with consideration
of hole density (P) and confining pressure (σ3). The simulation results are highly
consistent with those available experiment results, and show that the compressive
strength decreases exponentially with the increasing hole density. The strength
loss is mainly caused by the reduction of cohesion… More >
Open Access
ARTICLE
Xinxin Lu1,*, Hong Zhang2
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 281-297, 2020, DOI:10.32604/cmes.2020.010948
（This article belongs to this Special Issue: Recent Advances on Deep Learning for Medical Signal Analysis (RADLMSA))
Abstract As an interdisciplinary comprehensive subject involving multidisciplinary knowledge, emotional analysis has become a hot topic in psychology, health medicine and computer science. It has a high comprehensive and
practical application value. Emotion research based on the social network is
a relatively new topic in the field of psychology and medical health research.
The text emotion analysis of college students also has an important research
significance for the emotional state of students at a certain time or a certain
period, so as to understand their normal state, abnormal state and the reason
of state change from the information they wrote. In… More >
Open Access
ARTICLE
Chaosheng Tang1, Deepak Ranjan Nayak2, Shuihua Wang1,3,4,*
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 299-313, 2020, DOI:10.32604/cmes.2020.011069
（This article belongs to this Special Issue: Recent Advances on Deep Learning for Medical Signal Analysis (RADLMSA))
Abstract Hearing loss (HL) is a kind of common illness, which can significantly reduce the quality of life. For example, HL often results in mishearing,
misunderstanding, and communication problems. Therefore, it is necessary
to provide early diagnosis and timely treatment for HL. This study investigated
the advantages and disadvantages of three classical machine learning
methods: multilayer perceptron (MLP), support vector machine (SVM), and
least-square support vector machine (LS-SVM) approach and made a further
optimization of the LS-SVM model via wavelet entropy. The investigation
illustrated that themultilayer perceptron is a shallowneural network,while the
least square support vector machine uses hinge loss function… More >
Open Access
REVIEW
Nazish Naheed1, Muhammad Shaheen1, Sajid Ali Khan1, Mohammed Alawairdhi2,*, Muhammad Attique Khan3,*
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 315-344, 2020, DOI:10.32604/cmes.2020.011380
（This article belongs to this Special Issue: Recent Advances on Deep Learning for Medical Signal Analysis (RADLMSA))
Abstract In the area of pattern recognition and machine learning, features
play a key role in prediction. The famous applications of features are medical
imaging, image classification, and name a few more. With the exponential
growth of information investments in medical data repositories and health
service provision, medical institutions are collecting large volumes of data.
These data repositories contain details information essential to support medical diagnostic decisions and also improve patient care quality. On the other
hand, this growth also made it difficult to comprehend and utilize data for
various purposes. The results of imaging data can become biased because of… More >
Open Access
ARTICLE
Jiabin Wang*, Kai Peng
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 345-363, 2020, DOI:10.32604/cmes.2020.011046
（This article belongs to this Special Issue: Recent Advances on Deep Learning for Medical Signal Analysis (RADLMSA))
Abstract In many existing multi-view gait recognition methods based on images
or video sequences, gait sequences are usually used to superimpose and synthesize images and construct energy-like template. However, information may be lost
during the process of compositing image and capture EMG signals. Errors and the
recognition accuracy may be introduced and affected respectively by some factors
such as period detection. To better solve the problems, a multi-view gait recognition method using deep convolutional neural network and channel attention
mechanism is proposed. Firstly, the sliding time window method is used to capture EMG signals. Then, the back-propagation learning algorithm is used… More >
Open Access
ARTICLE
Fei Yang1,2,#, Xiaoqing Zhang1,*,#, Yong Zhu3
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 365-382, 2020, DOI:10.32604/cmes.2020.010798
（This article belongs to this Special Issue: Recent Advances on Deep Learning for Medical Signal Analysis (RADLMSA))
Abstract Heart arrhythmia is a group of irregular heartbeat conditions and
is usually detected by electrocardiograms (ECG) signals. Over the past years,
deep learning methods have been developed to classify different types of
heart arrhythmias through ECG based on computer-aided diagnosis systems (CADs), but these deep learning methods usually cannot trade-off
between classification performance and parameters of deep learning methods.
To tackle this problem, this work proposes a convolutional neural network
(CNN) model named PDNet to recognize different types of heart arrhythmias
efficiently. In the PDNet, a convolutional block named PDblock is devised,
which is comprised of a pointwise convolutional layer… More >
Open Access
ARTICLE
Shufang Song*, Lu Wang, Yuhua Yan
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 383-399, 2020, DOI:10.32604/cmes.2020.09588
（This article belongs to this Special Issue: Novel Methods for Reliability Evaluation and Optimization of Complex Mechanical Structures)
Abstract The robust design optimization (RDO) is an effective method to
improve product performance with uncertainty factors. The robust optimal solution should be not only satisfied the probabilistic constraints but also less sensitive
to the variation of design variables. There are some important issues in RDO, such
as how to judge robustness, deal with multi-objective problem and black-box
situation. In this paper, two criteria are proposed to judge the deterministic optimal solution whether satisfies robustness requirment. The robustness measure
based on maximum entropy is proposed. Weighted sum method is improved to
deal with the objective function, and the basic framework of… More >
Open Access
ARTICLE
Shifu Xu*, Yanan Jiang
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 401-415, 2020, DOI:10.32604/cmes.2020.09608
（This article belongs to this Special Issue: Novel Methods for Reliability Evaluation and Optimization of Complex Mechanical Structures)
Abstract Aiming at the problem that the trajectory tracking performance of
redundant manipulator corresponding to the target position is difficult to optimize,
the trajectory tracking method of redundant manipulator based on PSO algorithm
optimization is studied. The kinematic diagram of redundant manipulator is created, to derive the equation of motion trajectory of redundant manipulator end.
Pseudo inverse Jacobi matrix is used to solve the problem of manipulator redundancy. Based on the tracking ellipse of redundant manipulator, the tracking shape
of redundant manipulator is determined with the overall tracking index as the second index, and the optimization method of tracking index is… More >
Open Access
ARTICLE
Yang Pei1,2, Xiangyang Luo1,2,*, Yi Zhang2, Liyan Zhu2
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 417-436, 2020, DOI:10.32604/cmes.2020.010636
（This article belongs to this Special Issue: Information Hiding and Multimedia Security)
Abstract Multiple images steganography refers to hiding secret messages in
multiple natural images to minimize the leakage of secret messages during
transmission. Currently, the main multiple images steganography algorithms
mainly distribute the payloads as sparsely as possible in multiple cover images
to improve the detection error rate of stego images. In order to enable the
payloads to be accurately and efficiently distributed in each cover image, this
paper proposes a multiple images steganography for JPEG images based on
optimal payload redistribution. Firstly, the algorithm uses the principle of
dynamic programming to redistribute the payloads of the cover images to
reduce the… More >
Open Access
ARTICLE
Sanaa Al-Marzouki1, Farrukh Jamal2, Christophe Chesneau3,*, Mohammed Elgarhy4
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 437-458, 2020, DOI:10.32604/cmes.2020.011521
（This article belongs to this Special Issue: Computer Modelling of Transmission, Spread, Control and Diagnosis of COVID-19)
Abstract Recent studies have pointed out the potential of the odd Fréchet family
(or class) of continuous distributions in fitting data of all kinds. In this article, we
propose an extension of this family through the so-called “Topp-Leone strategy”,
aiming to improve its overall flexibility by adding a shape parameter. The main
objective is to offer original distributions with modifiable properties, from which
adaptive and pliant statistical models can be derived. For the new family, these
aspects are illustrated by the means of comprehensive mathematical and numerical results. In particular, we emphasize a special distribution with three parameters based on the… More >
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