Open Access
REVIEW
Binbin Lv, Jun Zha, Kaichun Zeng*, Hongtao Guo, Li Yu and Peng Zhang
CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.1, pp. 1-29, 2022, DOI:10.32604/cmes.2022.020572
（This article belongs to this Special Issue: Vibration Control and Utilization)
Abstract The high-performance morphing aircraft has become a research focus all over the world. The morphing aircraft,
unlike regular unmanned aerial vehicles (UAVs), has more complicated aerodynamic characteristics, making
itmore difficultto conduct its design, model analysis, and experimentation. This paper reviews the recent process
and the current status of aeroelastic issues, numerical simulations, and wind tunnel test of morphing aircrafts.
The evaluation of aerodynamic characteristics, mechanism, and relevant unsteady dynamic aerodynamic modeling
throughout the morphing process are the primary technological bottlenecks formorphing aircrafts. The unstable
aerodynamic forces have a significant impact on the aircraft handling characteristics, control law design, and
flight… More >
Open Access
ARTICLE
G. Naveen Sundar1, Stalin Selvaraj2, D. Narmadha1, K. Martin Sagayam3, A. Amir Anton Jone3, Ayman A. Aly4, Dac-Nhuong Le5,6,*
CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.1, pp. 31-46, 2022, DOI:10.32604/cmes.2022.019914
Abstract Hepatocellular carcinoma (HCC) is one major cause of cancer-related mortality around the world. However, at
advanced stages of HCC, systematic treatment options are currently limited. As a result, new pharmacological
targets must be discovered regularly, and then tailored medicines against HCC must be developed. In this research,
we used biomarkers of HCC to collect the protein interaction network related to HCC. Initially, DC (Degree
Centrality) was employed to assess the importance of each protein. Then an improved Graph Coloring algorithm
was used to rank the target proteins according to the interaction with the primary target protein after assessing
the top… More >
Open Access
ARTICLE
Mustafa Turkyilmazoglu1,2,*
CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.1, pp. 47-65, 2022, DOI:10.32604/cmes.2022.020781
Abstract An effective solution method of fractional ordinary and partial differential equations is proposed in the present
paper. The standard Adomian Decomposition Method (ADM) is modified via introducing a functional term
involving both a variable and a parameter. A residual approach is then adopted to identify the optimal value
of the embedded parameter within the frame of L2 norm. Numerical experiments on sample problems of open
literature prove that the presented algorithm is quite accurate, more advantageous over the traditional ADM and
straightforward to implement for the fractional ordinary and partial differential equations of the recent focus of
mathematical models. Better… More >
Open Access
ARTICLE
Xun Li1, Wenzhe Ma1,*, Zhengfan Zhao2, Muhammad Bashir1, Wenjie Wang1, Xiaohua Wang1
CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.1, pp. 67-92, 2022, DOI:10.32604/cmes.2022.020019
Abstract In a multi-lane area, the increasing randomness of lane changes contributes to traffic insecurity and local traffic flow instability. A study on safe lane shifting activity that focuses on threat assessment under real-time knowledge is necessary to enhance smooth vehicle flow. This paper proposed a more comprehensive lane changing guidance rule to investigate the status of surrounding vehicles to accommodate future vehicle-on-road collaborative environments based on these parameters 1) lane change demand and 2) treat assessment function. The collaborative relationships between vehicles are analyzed using a cellular automata model based on their location, velocity, and acceleration. We analyze and examine… More >
Open Access
ARTICLE
Nezihal Gokbulut1,2, Evren Hincal1,2,*, Hasan Besim3, Bilgen Kaymakamzade1,2
CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.1, pp. 93-109, 2022, DOI:10.32604/cmes.2022.019782
（This article belongs to this Special Issue: Mathematical Aspects of Computational Biology and Bioinformatics)
Abstract Breast Imaging Reporting and Data System, also known as BI-RADS is a universal system used by radiologists and
doctors. It constructs a comprehensive language for the diagnosis of breast cancer. BI-RADS 4 category has a wide
range of cancer risk since it is divided into 3 categories. Mathematical models play an important role in the diagnosis
and treatment of cancer. In this study, data of 42 BI-RADS 4 patients taken from the Center for Breast Health, Near
East University Hospital is utilized. Regarding the analysis, a mathematical model is constructed by dividing the
population into 4 compartments. Sensitivity analysis is… More >
Open Access
ARTICLE
Saied M. Abd El-atty1,*, Nancy A. Arafa1, Atef Abouelazm1, Osama Alfarraj2, Konstantinos A. Lizos3, Farid Shawki1
CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.1, pp. 111-131, 2022, DOI:10.32604/cmes.2022.020793
（This article belongs to this Special Issue: Artificial Intelligence of Things (AIoT): Emerging Trends and Challenges)
Abstract Artificial intelligence (AI) has recently been used in nanomedical applications, in which implanted intelligent
nanosystems inside the human body were used to diagnose and treat a variety of ailments with the help of the
Internet of biological Nano Things (IoBNT). Biological circuit engineering or nanomaterial-based architectures
can be used to approach the nanosystem. In nanomedical applications, the blood vascular medium serves as a
communication channel, demonstrating a molecular communication system based on flow and diffusion. This
paper presents a performance study of the channel capacity for flow-based-diffusive molecular communication
nanosystems that takes into account the ligand-receptor binding mechanism. Unlike earlier… More >
Open Access
ARTICLE
Ping-Huan Kuo1,2, Ting-Chung Tseng1, Po-Chien Luan2, Her-Terng Yau1,2,*
CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.1, pp. 133-151, 2022, DOI: 10.32604/cmes.2022.020350
（This article belongs to this Special Issue: Computational Mechanics Assisted Modern Urban Planning and Infrastructure)
Abstract This work is focused on developing an effective method for bearing remaining useful life predictions. The method
is useful in accurately predicting the remaining useful life of bearings so that machine damage, production outage,
and human accidents caused by unexpected bearing failure can be prevented. This study uses the bearing dataset
provided by FEMTO-ST Institute, Besançon, France. This study starts with the exploration of neural networks,
based on which the biaxial vibration signals are modeled and analyzed. This paper introduces pre-processing of
bearing vibration signals, neural network model training and adjustment of training data. The model is trained
by optimizing… More >
Open Access
ARTICLE
Lixing Zheng1,*, Weibo Wang2, Yiyan Zhang1, Lingmei Wang3, Wei Lu2
CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.1, pp. 153-170, 2022, DOI:10.32604/cmes.2022.021235
（This article belongs to this Special Issue: Recent Advance of the Isogeometric Boundary Element Method and its Applications)
Abstract An improved model to calculate the length of the mixing chamber of the ejector was proposed on the basis of the Fano flow model, and a method to optimize the structures of the mixing chamber and diffuser of the ejector was put forward. The accuracy of the model was verified by comparing the theoretical results calculated using the model to experimental data reported in literature. Variations in the length of the mixing chamber Lm and length of the diffuser Ld with respect to variations in the outlet temperature of the ejector Tc, outlet pressure of the ejector pc, and the… More >
Open Access
ARTICLE
Bowei Wang1, Wenzhong Tang1, Lukai Song2,3,*, Guangchen Bai3
CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.1, pp. 171-193, 2022, DOI:10.32604/cmes.2022.021123
（This article belongs to this Special Issue: Computer-Aided Structural Integrity and Safety Assessment)
Abstract With increasing design demands of turbomachinery, stochastic flutter behavior has become more prominent and
even appears a hazard to reliability and safety. Stochastic flutter assessment is an effective measure to quantify
the failure risk and improve aeroelastic stability. However, for complex turbomachinery with multiple dynamic
influencing factors (i.e., aeroengine compressor with time-variant loads), the stochastic flutter assessment is hard
to be achieved effectively, since large deviations and inefficient computing will be incurred no matter considering
influencing factors at a certain instant or the whole time domain. To improve the assessing efficiency and accuracy
of stochastic flutter behavior, a dynamic meta-modeling… More >
Open Access
ARTICLE
Haoran Zhang1, Yaxun Liu2, Lisheng Liu2,*, Xin Lai2,*, Qiwen Liu2, Hai Mei2
CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.1, pp. 195-217, 2022, DOI:10.32604/cmes.2022.020495
（This article belongs to this Special Issue: Peridynamics and its Current Progress)
Abstract A rate-dependent peridynamic ceramic model, considering the brittle tensile response, compressive plastic
softening and strain-rate dependence, can accurately represent the dynamic response and crack propagation
of ceramic materials. However, it also considers the strain-rate dependence and damage accumulation caused
by compressive plastic softening during the compression stage, requiring more computational resources for the
bond force evaluation and damage evolution. Herein, the OpenMP parallel optimization of the rate-dependent
peridynamic ceramic model is investigated. Also, the modules that compute the interactions between material
points and update damage index are vectorized and parallelized. Moreover, the numerical examples are carried
out to simulate the… More >
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