Open Access
EDITORIAL
Christophe Chesneau1,*, Hassan Doosti2
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 981-983, 2023, DOI:10.32604/cmes.2023.028283
（This article belongs to this Special Issue: New Trends in Statistical Computing and Data Science)
Abstract This article has no abstract. More >
Open Access
REVIEW
Ruijun Liu1, Haisheng Li1,*, Zhihan Lv2
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 985-1022, 2023, DOI:10.32604/cmes.2023.023154
Abstract To understand the current application and development of 3D modeling in Digital Twins (DTs), abundant
literatures on DTs and 3D modeling are investigated by means of literature review. The transition process from
3D modeling to DTs modeling is analyzed, as well as the current application of DTs modeling in various industries.
The application of 3D DTs modeling in the fields of smart manufacturing, smart ecology, smart transportation, and
smart buildings in smart cities is analyzed in detail, and the current limitations are summarized. It is found that the
3D modeling technology in DTs has broad prospects for development and has… More >
Open Access
REVIEW
Francisco José García-Peñalvo*, Andrea Vázquez-Ingelmo, Alicia García-Holgado
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1023-1051, 2023, DOI:10.32604/cmes.2023.023897
（This article belongs to this Special Issue: AI and Machine Learning for Secure Mobile Cloud Computing and Web based Applications)
Abstract The exponential use of artificial intelligence (AI) to solve and automated complex tasks has catapulted its popularity generating some challenges that need to be addressed. While AI is a powerful means to discover interesting patterns and obtain predictive models, the use of these algorithms comes with a great responsibility, as an incomplete or unbalanced set of training data or an unproper interpretation of the models’ outcomes could result in misleading conclusions that ultimately could become very dangerous. For these reasons, it is important to rely on expert knowledge when applying these methods. However, not every user can count on this… More >
Graphic Abstract
Open Access
REVIEW
Saifur Rahman Sabuj1, Mohammad Saadman Alam2, Majumder Haider2, Md Akbar Hossain3, Al-Sakib Khan Pathan4,*
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1053-1089, 2023, DOI:10.32604/cmes.2023.024078
（This article belongs to this Special Issue: Issues and Challenges in Futuristic Aerial-Ground Networks)
Abstract This paper discusses the significance and prospects of low altitude small satellite aerial vehicles to ensure smooth
aerial-ground communications for next-generation broadband networks. To achieve the generic goals of fifthgeneration and beyond wireless networks, the existing aerial network architecture needs to be revisited. The detailed
architecture of low altitude aerial networks and the challenges in resource management have been illustrated in
this paper. Moreover, we have studied the coordination between promising communication technologies and low
altitude aerial networks to provide robust network coverage. We talk about the techniques that can ensure userfriendly control and monitoring of the low altitude aerial… More >
Graphic Abstract
Open Access
ARTICLE
Jiazheng Du*, Xue Cong, Ying Zhang
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1091-1120, 2023, DOI:10.32604/cmes.2023.025585
（This article belongs to this Special Issue: New Trends in Structural Optimization)
Abstract Spacecraft in the aerospace field and military equipment in the military field are at risk of being impacted by external objects, which can cause local damage to the structure. The randomness of local damage is a new challenge for structural design, and it is essential to take random damage into account in the conceptual design phase for the purpose of improving structure’s resistance to external shocks. In this article, a random damaged structure is assumed to have damages of the same size and shape at random locations, and the random damage is considered as multiple damage conditions of the structure.… More >
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Open Access
ARTICLE
Wazir Muhammad1, Zuhaibuddin Bhutto2,*, Salman Masroor3,4, Murtaza Hussain Shaikh5, Jalal Shah2, Ayaz Hussain1
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1121-1142, 2023, DOI:10.32604/cmes.2023.021438
Abstract Medical image super-resolution is a fundamental challenge due to absorption and scattering in tissues. These
challenges are increasing the interest in the quality of medical images. Recent research has proven that the rapid
progress in convolutional neural networks (CNNs) has achieved superior performance in the area of medical image
super-resolution. However, the traditional CNN approaches use interpolation techniques as a preprocessing stage
to enlarge low-resolution magnetic resonance (MR) images, adding extra noise in the models and more memory
consumption. Furthermore, conventional deep CNN approaches used layers in series-wise connection to create
the deeper mode, because this later end layer cannot… More >
Open Access
ARTICLE
Zheng Liu*, Wei Xiong, Minghui Xiong
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1143-1163, 2023, DOI:10.32604/cmes.2023.025452
Abstract This study investigates the scheduling problem of multiple agile optical satellites with large-scale tasks. This problem
is difficult to solve owing to the time-dependent characteristic of agile optical satellites, complex constraints, and
considerable solution space. To solve the problem, we propose a scheduling method based on an improved sine
and cosine algorithm and a task merging approach. We first establish a scheduling model with task merging
constraints and observation action constraints to describe the problem. Then, an improved sine and cosine
algorithm is proposed to search for the optimal solution with the maximum profit ratio. An adaptive cosine factor
and… More >
Open Access
ARTICLE
Zhijie Zhou1, Zhichao Ming1,*, Jie Wang1, Shuaiwen Tang1, You Cao1, Xiaoxia Han1, Gang Xiang2,3
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1165-1185, 2023, DOI:10.32604/cmes.2023.025399
Abstract Fault diagnosis plays an irreplaceable role in the normal operation of equipment. A fault diagnosis model is often required to be interpretable for increasing the trust between humans and the model. Due to the understandable knowledge expression and transparent reasoning process, the belief rule base (BRB) has extensive applications as an interpretable expert system in fault diagnosis. Optimization is an effective means to weaken the subjectivity of experts in BRB, where the interpretability of BRB may be weakened. Hence, to obtain a credible result, the weakening factors of interpretability in the BRB-based fault diagnosis model are firstly analyzed, which are… More >
Graphic Abstract
Open Access
ARTICLE
Daisuke Ishihara1,*, Prakasha Chigahalli Ramegowda2, Shoichi Aikawa1, Naoki Iwamaru1
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1187-1206, 2023, DOI:10.32604/cmes.2023.024614
Abstract This paper demonstrates the importance of three-dimensional (3-D) piezoelectric coupling in the electromechanical behavior of piezoelectric devices using three-dimensional finite element analyses based on weak and strong coupling models for a thin cantilevered piezoelectric bimorph actuator. It is found that there is a significant difference between the strong and weak coupling solutions given by coupling direct and inverse piezoelectric effects (i.e., piezoelectric coupling effect). In addition, there is significant longitudinal bending caused by the constraint of the inverse piezoelectric effect in the width direction at the fixed end (i.e., 3-D effect). Hence, modeling of these effects or 3-D piezoelectric coupling… More >
Open Access
ARTICLE
Muhammad Imran1, Jinsheng Sun1,*, Fatima Sehar Zaidi2, Zameer Abbas3,4, Hafiz Zafar Nazir5
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1207-1257, 2023, DOI:10.32604/cmes.2023.025492
Abstract Control charts (CCs) are one of the main tools in Statistical Process Control that have been widely adopted in manufacturing sectors as an effective strategy for malfunction detection throughout the previous decades. Measurement errors (M.E’s) are involved in the quality characteristic of interest, which can effect the CC’s performance. The authors explored the impact of a linear model with additive covariate M.E on the multivariate cumulative sum (CUSUM) CC for a specific kind of data known as compositional data (CoDa). The average run length is used to assess the performance of the proposed chart. The results indicate that M.E’s significantly… More >
Open Access
ARTICLE
Renyuan Liu1, Jian Yang1, Xiaobing Zhou1,*, Xiaoguang Yue2,3,4
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1259-1276, 2023, DOI:10.32604/cmes.2023.021995
Abstract Latent information is difficult to get from the text in speech synthesis. Studies show that features from speech can get more information to help text encoding. In the field of speech encoding, a lot of work has been conducted on two aspects. The first aspect is to encode speech frame by frame. The second aspect is to encode the whole speech to a vector. But the scale in these aspects is fixed. So, encoding speech with an adjustable scale for more latent information is worthy of investigation. But current alignment approaches only support frame-by-frame encoding and speech-to-vector encoding. It remains… More >
Open Access
ARTICLE
Hasan Dalmaz*, Erdal Erdal, Halil Murat Ünver
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1277-1314, 2023, DOI:10.32604/cmes.2023.025212
Abstract This paper addresses the urgent need to detect network security attacks, which have increased significantly in recent years, with high accuracy and avoid the adverse effects of these attacks. The intrusion detection system should respond seamlessly to attack patterns and approaches. The use of metaheuristic algorithms in attack detection can produce near-optimal solutions with low computational costs. To achieve better performance of these algorithms and further improve the results, hybridization of algorithms can be used, which leads to more successful results. Nowadays, many studies are conducted on this topic. In this study, a new hybrid approach using Gray Wolf Optimizer… More >
Open Access
ARTICLE
Yue Su1, Jingfa Li2,*, Bo Yu2, Yanlin Zhao1, Dongxu Han2, Dongliang Sun2
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1315-1337, 2023, DOI:10.32604/cmes.2023.026035
Abstract With the introduction of various carbon reduction policies around the world, hydrogen energy, as a kind of clean energy with zero carbon emission, has attracted much attention. The safe and economical transportation of hydrogen is of great significance to the development of hydrogen energy industries. Utilizing natural gas pipelines to transport hydrogen is considered to be an efficient and economical way. However, hydrogen has a higher risk of leakage due to its strong diffusion capacity and lower explosive limit than conventional natural gas. Therefore, it is of great significance to study the leakage and diffusion law of hydrogen-enriched natural gas… More >
Graphic Abstract
Open Access
ARTICLE
Ying Wang*, Zheng Yan, Yangyang Wu
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1339-1370, 2023, DOI:10.32604/cmes.2023.025830
Abstract In this paper, a numerical model of fretting fatigue analysis of cable wire and the fretting fatigue damage constitutive model considering the multi-axis effect were established, and the user material subroutine UMAT was written. Then, the constitutive model of wear morphology evolution of cable wire and the constitutive model of pitting evolution considering the mechanical-electrochemical effect were established, respectively. The corresponding subroutines UMESHMOTION_Wear and UMESHMOTION_Wear_Corrosion were written, and the fretting fatigue life was further predicted. The results show that the numerical simulation life obtained by the program in this paper has the same trend as the tested one; the error… More >
Graphic Abstract
Open Access
ARTICLE
Rafael Marin Ferro1,2,*, Renato Pavanello2
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1371-1397, 2023, DOI:10.32604/cmes.2023.026043
Abstract This work analyzes the implementation of a continuous method of structural topology optimization (STO) using open-source software for all stages of the topology optimization problem: modeling, sensitivity analysis and optimization. Its implementation involves three main components: numerical analysis using the Finite Element Method (FEM), sensitivity analysis using an Adjoint method and an optimization solver. In order to allow the automated numerical solution of Partial Differential Equations (PDEs) and perform a sensitivity analysis, FEniCS and Dolfin Adjoint software are used as tools, which are open-source code. For the optimization process, Ipopt (Interior Point OPTimizer) is used, which is a software package… More >
Open Access
ARTICLE
Emna Karray1, Hela Elmannai2,*, Elyes Toumi1, Mohamed Hedi Gharbia3, Souham Meshoul2, Hamouda Aichi4, Zouhaier Ben Rabah1
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1399-1425, 2023, DOI:10.32604/cmes.2023.023164
Abstract Pedo-spectroscopy has the potential to provide valuable information about soil physical, chemical, and biological
properties. Nowadays, we may predict soil properties using VNIR field imaging spectra (IS) such as Prisma satellite
data or laboratory spectra (LS). The primary goal of this study is to investigate machine learning models namely
Partial Least Squares Regression (PLSR) and Support Vector Regression (SVR) for the prediction of several soil
properties, including clay, sand, silt, organic matter, nitrate NO3-, and calcium carbonate CaCO3, using five VNIR
spectra dataset combinations (% IS, % LS) as follows: C1 (0% IS, 100% LS), C2 (20% IS, 80% LS),… More >
Graphic Abstract
Open Access
ARTICLE
Zhenguo Liu1,2, Shuchen Li1,3, Richeng Liu3,*, Changzhou Zheng2
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1427-1440, 2023, DOI:10.32604/cmes.2023.025414
Abstract The nonlinear flow properties of Newtonian fluids through crossed fractures are estimated by considering the influences of length, aperture, and surface roughness of fractures. A total of 252 computational runs are performed by creating 36 computational domains, in which the Navier-Stokes equations are solved. The results show that the nonlinear relationship between flow rate and hydraulic gradient follows Forchheimer’s law–based equation. When the hydraulic gradient is small (i.e., 10−6), the streamlines are parallel to the fracture walls, indicating a linear streamline distribution. When the hydraulic gradient is large (i.e., 100), the streamlines are disturbed by a certain number of eddies,… More >
Open Access
ARTICLE
Lingwu Qian1, Jianxiang Li2, Qi Tang1, Mengfei Liu1, Bingjie Yuan1, Guoli Ji1,*
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1441-1455, 2023, DOI:10.32604/cmes.2023.024534
（This article belongs to this Special Issue: Computer Modeling for Smart Cities Applications)
Abstract In recent years, a number of wireless indoor positioning (WIP), such as Bluetooth, Wi-Fi, and Ultra-Wideband (UWB) technologies, are emerging. However, the indoor environment is complex and changeable. Walls, pillars, and even pedestrians may block wireless signals and produce non-line-of-sight (NLOS) deviations, resulting in decreased positioning accuracy and the inability to provide people with real-time continuous indoor positioning. This work proposed a strong tracking particle filter based on the chi-square test (SPFC) for indoor positioning. SPFC can fuse indoor wireless signals and the information of the inertial sensing unit (IMU) in the smartphone and detect the NLOS deviation through the… More >
Open Access
ARTICLE
Kamal Shah1,2, Thabet Abdeljawad3,4,*, Fahd Jarad5, Qasem Al-Mdallal6
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1457-1472, 2023, DOI:10.32604/cmes.2023.021523
（This article belongs to this Special Issue: Advanced Numerical Methods for Fractional Differential Equations)
Abstract This article studies a nonlinear fractional order Lotka-Volterra prey-predator type dynamical system. For the proposed study, we consider the model under the conformable fractional order derivative (CFOD). We investigate the mentioned dynamical system for the existence and uniqueness of at least one solution. Indeed, Schauder and Banach fixed point theorems are utilized to prove our claim. Further, an algorithm for the approximate analytical solution to the proposed problem has been established. In this regard, the conformable fractional differential transform (CFDT) technique is used to compute the required results in the form of a series. Using Matlab-16, we simulate the series… More >
Open Access
ARTICLE
Aziz Khan1, Sana Ullah2, Kamal Shah1,3, Manar A. Alqudah4, Thabet Abdeljawad1,5,*, Fazal Ghani2
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1473-1486, 2023, DOI:10.32604/cmes.2022.023019
（This article belongs to this Special Issue: Advanced Computational Methods in Fluid Mechanics and Heat Transfer)
Abstract In this work, We are looking at the characteristics of micropolar flow in a porous channel that’s being driven by suction or injection. The working of the fluid is described in the flow model. We can reduce the governing nonlinear partial differential equations (PDEs) to a model of coupled systems of nonlinear ordinary differential equations using similarity variables (ODEs). In order to obtain the results of a coupled system of nonlinear ODEs, we discuss a method which is known as the differential transform method (DTM). The concern transform is an excellent mathematical tool to obtain the analytical series solution to… More >
Graphic Abstract
Open Access
ARTICLE
Xiang Zhang1,*, Miao Su1, Wenjie Yu2, Zhen Lei1, Jun Ren1, Juntong Qu1
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1487-1507, 2023, DOI:10.32604/cmes.2023.025799
（This article belongs to this Special Issue: Advanced Computational Methods in Fluid Mechanics and Heat Transfer)
Abstract The durability of cement-based materials is related to water transport and storage in their pore network under different humidity conditions. To understand the mechanism and characteristics of water adsorption and desorption processes from the microscopic scale, this study introduces different points of view for the pore space model generation and numerical simulation of water transport by considering the “ink-bottle” effect. On the basis of the pore structure parameters (i.e., pore size distribution and porosity) of cement paste and mortar with water-binder ratios of 0.3, 0.4 and 0.5 obtained via mercury intrusion porosimetry, randomly formed 3D pore space models are generated… More >
Open Access
ARTICLE
Romana Basit1, Xinyang Li1, Zheqing Huang1, Qiang Zhou1,2,*
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1509-1526, 2023, DOI:10.32604/cmes.2023.025308
（This article belongs to this Special Issue: Advanced Computational Models for Decision-Making of Complex Systems in Engineering)
Abstract Direct Numerical Simulations have been carried out to study the forced convection heat transfer of flow through
fixed prolate particles for a variety of aspect ratios ar = {5/4, 5/3, 5/1} with Reynolds number (Re) up to 100. Three
variations of the solid volume fraction c = {0.1, 0.2, 0.3} with four Hermans orientation factors S = {−0.5, 0, 0.5,
1} are studied. It has been found that changes in S cause prominent variations in the Nusselt number. In general,
Nusselt number increases with the decrease of S. For all three aspect ratios, the Nusselt number remains a linear
function… More >
Graphic Abstract
Open Access
ARTICLE
Pavel Trojovský1,*, Mohammad Dehghani1, Eva Trojovská1, Eva Milkova2
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1527-1573, 2023, DOI:10.32604/cmes.2023.025908
（This article belongs to this Special Issue: Computational Intelligent Systems for Solving Complex Engineering Problems: Principles and Applications)
Abstract In this paper, based on the concept of the NFL theorem, that there is no unique algorithm that has the best
performance for all optimization problems, a new human-based metaheuristic algorithm called Language Education Optimization (LEO) is introduced, which is used to solve optimization problems. LEO is inspired by the
foreign language education process in which a language teacher trains the students of language schools in the
desired language skills and rules. LEO is mathematically modeled in three phases: (i) students selecting their
teacher, (ii) students learning from each other, and (iii) individual practice, considering exploration in local search
and… More >
Graphic Abstract
Open Access
ARTICLE
Shutong Xie, Zongbao He, Xingwang Huang*
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1575-1602, 2023, DOI:10.32604/cmes.2023.025812
（This article belongs to this Special Issue: Computational Intelligent Systems for Solving Complex Engineering Problems: Principles and Applications)
Abstract The multi-pass turning operation is one of the most commonly used machining methods in manufacturing field. The main objective of this operation is to minimize the unit production cost. This paper proposes a Gaussian quantum-behaved bat algorithm (GQBA) to solve the problem of multi-pass turning operation. The proposed algorithm mainly includes the following two improvements. The first improvement is to incorporate the current optimal positions of quantum bats and the global best position into the stochastic attractor to facilitate population diversification. The second improvement is to use a Gaussian distribution instead of the uniform distribution to update the positions of… More >
Open Access
ARTICLE
Wenchuan Wang1,*, Weican Tian1, Kwok-wing Chau2, Yiming Xue1, Lei Xu3, Hongfei Zang1
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1603-1642, 2023, DOI:10.32604/cmes.2023.026231
（This article belongs to this Special Issue: Computational Intelligent Systems for Solving Complex Engineering Problems: Principles and Applications)
Abstract The Bald Eagle Search algorithm (BES) is an emerging meta-heuristic algorithm. The algorithm simulates the
hunting behavior of eagles, and obtains an optimal solution through three stages, namely selection stage, search
stage and swooping stage. However, BES tends to drop-in local optimization and the maximum value of search
space needs to be improved. To fill this research gap, we propose an improved bald eagle algorithm (CABES) that
integrates Cauchy mutation and adaptive optimization to improve the performance of BES from local optima.
Firstly, CABES introduces the Cauchy mutation strategy to adjust the step size of the selection stage, to select… More >
Open Access
ARTICLE
Siyu Ren1, Shi Qiu2,*, Keyang Cheng3
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1643-1659, 2023, DOI:10.32604/cmes.2023.025248
（This article belongs to this Special Issue: Advances in Edge Intelligence for Internet of Things)
Abstract Star sensors are an important means of autonomous navigation and access to space information for satellites. They have been widely deployed in the aerospace field. To satisfy the requirements for high resolution, timeliness, and confidentiality of star images, we propose an edge computing algorithm based on the star sensor cloud. Multiple sensors cooperate with each other to form a sensor cloud, which in turn extends the performance of a single sensor. The research on the data obtained by the star sensor has very important research and application values. First, a star point extraction model is proposed based on the fuzzy… More >
Open Access
ARTICLE
Attaullah1,*, Kamil Zeb1, Abdullah Mohamed2
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1661-1685, 2023, DOI:10.32604/cmes.2023.023059
（This article belongs to this Special Issue: Differential Equations and New Methods in Mathematical Biology)
Abstract Mathematical modelling has been extensively used to measure intervention strategies for the control of contagious conditions. Alignment between different models is pivotal for furnishing strong substantiation for policymakers because the differences in model features can impact their prognostications. Mathematical modelling has been widely used in order to better understand the transmission, treatment, and prevention of infectious diseases. Herein, we study the dynamics of a human immunodeficiency virus (HIV) infection model with four variables: S (t), I (t), C (t), and A (t) the susceptible individuals; HIV infected individuals (with no clinical symptoms of AIDS); HIV infected individuals (under ART with… More >
Open Access
ARTICLE
Mohammad Aslefallah1, Şuayip Yüzbaşi2, Saeid Abbasbandy1,*
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1687-1706, 2023, DOI:10.32604/cmes.2023.025647
（This article belongs to this Special Issue: Differential Equations and New Methods in Mathematical Biology)
Abstract In this work, the exponential approximation is used for the numerical simulation of a nonlinear SITR model as a system of differential equations that shows the dynamics of the new coronavirus (COVID-19). The SITR mathematical model is divided into four classes using fractal parameters for COVID-19 dynamics, namely, susceptible (S), infected (I), treatment (T), and recovered (R). The main idea of the presented method is based on the matrix representations of the exponential functions and their derivatives using collocation points. To indicate the usefulness of this method, we employ it in some cases. For error analysis of the method, the… More >
Graphic Abstract
Open Access
ARTICLE
Pengpeng Jian1, Fucheng Guo1,*, Yanli Wang2, Yang Li1
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1707-1728, 2023, DOI:10.32604/cmes.2023.023243
（This article belongs to this Special Issue: Humanized Computing and Reasoning in Teaching and Learning)
Abstract This paper presents an end-to-end deep learning method to solve geometry problems via feature learning and contrastive learning of multimodal data. A key challenge in solving geometry problems using deep learning is to automatically adapt to the task of understanding single-modal and multimodal problems. Existing methods either focus on single-modal or multimodal problems, and they cannot fit each other. A general geometry problem solver should obviously be able to process various modal problems at the same time. In this paper, a shared feature-learning model of multimodal data is adopted to learn the unified feature representation of text and image, which… More >
Open Access
ARTICLE
Xiaohui Cheng1, Haiqing Si1,*, Yao Li1, Peihong Zhang2
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1729-1742, 2023, DOI:10.32604/cmes.2023.022694
（This article belongs to this Special Issue: Numerical Methods in Engineering Analysis, Data Analysis and Artificial Intelligence)
Abstract To understand the influence of the initial release conditions on the separation characteristics of the store and improve it under high Mach number (Ma = 4) flight conditions, the overset grid method and the Realizable turbulence model coupled with an equation with six degrees of freedom are used to simulate the store released from the internal bay. The motion trajectory and the attitude angle of the store separation under the conditions of different centroid, velocity, height and control measures are given by the calculated result. Through analysis, the position of the centroid will affect the separation of the store, which needs to… More >
Open Access
ARTICLE
Changrong Zhang, Hongtao Guo, Li Yu, Binbin Lv, Hongya Xia*
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1743-1758, 2023, DOI:10.32604/cmes.2023.025528
（This article belongs to this Special Issue: Vibration Control and Utilization)
Abstract This study presents a high-speed geometrically nonlinear flutter analysis calculation method based on the high-precision computational fluid dynamics/computational structural dynamics methods. In the proposed method, the aerodynamic simulation was conducted based on computational fluid dynamics, and the structural model was established using the nonlinear finite element model and tangential stiffness matrix. First, the equilibrium position was obtained using the nonlinear static aeroelastic iteration. Second, the structural modal under a steady aerodynamic load was extracted. Finally, the generalized displacement time curve was obtained by coupling the unsteady aerodynamics and linearized structure motion equations. Moreover, if the flutter is not at a… More >
Graphic Abstract
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ARTICLE
Muhammad Riaz1, Masooma Raza Hashmi1, Faruk Karaaslan2, Aslıhan Sezgin3, Mohammed M. Ali Al Shamiri4,5,*, Mohammed M. Khalaf6,7
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1759-1783, 2023, DOI:10.32604/cmes.2023.023327
（This article belongs to this Special Issue: Decision making Modeling, Methods and Applications of Advanced Fuzzy Theory in Engineering and Science)
Abstract This paper aims to introduce the novel concept of neutrosophic crisp soft set (NCSS), including various types of neutrosophic crisp soft sets (NCSSs) and their fundamental operations. We define NCS-mapping and its inverse NCS-mapping between two NCS-classes. We develop a robust mathematical modeling with the help of NCS-mapping to analyze the emerging trends in social networking systems (SNSs) for our various generations. We investigate the advantages, disadvantages, and natural aspects of SNSs for five generations. With the changing of the generations, it is analyzed that emerging trends and the benefits of SNSs are increasing day by day. The suggested modeling… More >
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Open Access
ARTICLE
Shahzaib Ashraf1, Bushra Batool2, Muhammad Naeem3,*
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1785-1811, 2023, DOI:10.32604/cmes.2023.024851
（This article belongs to this Special Issue: Decision making Modeling, Methods and Applications of Advanced Fuzzy Theory in Engineering and Science)
Abstract This research proposes multicriteria decision-making (MCDM)-based real-time Mesenchymal stem cells (MSC)
transfusion framework. The testing phase of the methodology denotes the ability to stick to plastic surfaces, the
upregulation and downregulation of certain surface protein markers, and lastly, the ability to differentiate into
various cell types. First, two scenarios of an enhanced dataset based on a medical perspective were created in the
development phase to produce varying levels of emergency. Second, for real-time monitoring of COVID-19 patients
with different emergency levels (i.e., mild, moderate, severe, and critical), an automated triage algorithm based on a
formal medical guideline is proposed, taking… More >
Open Access
ARTICLE
Xuan Zhao1,2, Jianteng Xu2,*, Hongling Lu2
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1813-1833, 2023, DOI:10.32604/cmes.2023.025828
（This article belongs to this Special Issue: Data-Driven Robust Group Decision-Making Optimization and Application)
Abstract The cap-and-offset regulation is a practical scheme to lessen carbon emissions. The retailer selling fresh products can adopt sustainable technologies to lessen greenhouse gas emissions. We aim to analyze the optimal joint strategies on order quantity and sustainable technology investment when the retailer faces stochastic market demand and can only acquire the mean and variance of distribution information. We construct a distributionally robust optimization model and use the Karush-Kuhn-Tucker (KKT) conditions to solve the analytic formula of optimal solutions. By comparing the models with and without investing in sustainable technologies, we examine the effect of sustainable technologies on the operational… More >
Graphic Abstract
Open Access
ARTICLE
Yan Zhu1,2, Lili Tian2, Fan Ye2, Gaofeng Sun1, Xianyong Fang2,*
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1835-1856, 2023, DOI:10.32604/cmes.2023.025662
（This article belongs to this Special Issue: Integration of Geometric Modeling and Numerical Simulation)
Abstract Non-rigid registration of point clouds is still far from stable, especially for the largely deformed one. Sparse initial correspondences are often adopted to facilitate the process. However, there are few studies on how to build them automatically. Therefore, in this paper, we propose a robust method to compute such priors automatically, where a global and local combined strategy is adopted. These priors in different degrees of deformation are obtained by the locally geometrical-consistent point matches from the globally structural-consistent region correspondences. To further utilize the matches, this paper also proposes a novel registration method based on the Coherent Point Drift… More >
Open Access
ARTICLE
Caifen Wang1,*, Bin Wu2
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1857-1878, 2023, DOI:10.32604/cmes.2023.026153
（This article belongs to this Special Issue: Emerging Trends on Blockchain: Architecture and Dapp Ecosystem)
Abstract The mushroom growth of IoT has been accompanied by the generation of massive amounts of data. Subject to the limited storage and computing capabilities of most IoT devices, a growing number of institutions and organizations outsource their data computing tasks to cloud servers to obtain efficient and accurate computation while avoiding the cost of local data computing. One of the most important challenges facing outsourcing computing is how to ensure the correctness of computation results. Linearly homomorphic proxy signature (LHPS) is a desirable solution to ensure the reliability of outsourcing computing in the case of authorized signing right. Blockchain has… More >
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ARTICLE
Miaomiao Yang1,2, Guosheng Huang1,2, Junwei Liu3, Yanshuang Gui1,2, Qixu Wang1,2,*, Xingshu Chen1,2
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1879-1898, 2023, DOI:10.32604/cmes.2023.026371
（This article belongs to this Special Issue: Emerging Trends on Blockchain: Architecture and Dapp Ecosystem)
Abstract With the advantages of lightweight and high resource utilization, cloud-native technology with containers as the core is gradually becoming the mainstream technical architecture for information infrastructure. However, malware attacks such as Doki and Symbiote threaten the container runtime’s security. Malware initiates various types of runtime anomalies based on process form (e.g., modifying the process of a container, and opening the external ports). Fortunately, dynamic monitoring mechanisms have proven to be a feasible solution for verifying the trusted state of containers at runtime. Nevertheless, the current routine dynamic monitoring mechanisms for baseline data protection are still based on strong security assumptions.… More >
Open Access
ARTICLE
Yonghong Liu1, Muhammad Waheed2, Umair Saleem3, Muhammad Kamran Jamil4,*, Muhammad Naveed5, Mohammad Reza Farahani6
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1899-1916, 2023, DOI:10.32604/cmes.2023.025071
（This article belongs to this Special Issue: Resolvability Parameters and their Applications)
Abstract L-valine is a glycogen-type amino acid regarded among the necessary mammalian amino acids. This is an amino acid that is essential for protein synthesis. N-salicylidene-L-valine is gaining a lot of attention because of its unique structure and increased catalytic and cytotoxic activity. We explore the chain of supramolecular dialkyltin N-salicylidene-L-valine complexes 2, 3, and 4 to learn more about this structure and its features regarding topological indices. We computed the first and second Randić index, harmonic index, sum-connectivity index, atom-bond-connectivity index, geometric arithmetic index and reduced reciprocal Randić index of Supramolecular Chain of Different Complexes of N-Salicylidene-L-Valine. Furthermore, we present… More >
Open Access
ARTICLE
Sana Abbas1, Faraha Ashraf1, Fahd Jarad2,3,*, Muhammad Shoaib Sardar1, Imran Siddique4
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1917-1930, 2023, DOI:10.32604/cmes.2023.024700
（This article belongs to this Special Issue: Resolvability Parameters and their Applications)
Abstract This article presents an optimized approach of mathematical techniques in the medical domain by manoeuvring the phenomenon of ant colony optimization algorithm (also known as ACO). A complete graph of blood banks and a path that covers all the blood banks without repeating any link is required by applying the Travelling Salesman Problem (often TSP). The wide use promises to accelerate and offers the opportunity to cultivate health care, particularly in remote or unmerited environments by shrinking lab testing reversal times, empowering just-in-time lifesaving medical supply. More >
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ARTICLE
Lakhlifa Sadek1, Otmane Sadek1, Hamad Talibi Alaoui2, Mohammed S. Abdo3, Kamal Shah4,5, Thabet Abdeljawad4,6,*
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1931-1950, 2023, DOI:10.32604/cmes.2023.025033
（This article belongs to this Special Issue: Applications of Fractional Operators in Modeling Real-world Problems: Theory, Computation, and Applications)
Abstract In this work, we present a model that uses the fractional order Caputo derivative for the novel Coronavirus disease 2019 (COVID-19) with different hospitalization strategies for severe and mild cases and incorporate an awareness program. We generalize the SEIR model of the spread of COVID-19 with a private focus on the transmissibility of people who are aware of the disease and follow preventative health measures and people who are ignorant of the disease and do not follow preventive health measures. Moreover, individuals with severe, mild symptoms and asymptomatically infected are also considered. The basic reproduction number () and local stability… More >
Open Access
ARTICLE
Yuanyuan Wang1,*, Rui Wang2, Xiaofeng Ren3, Junan Lei2
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1951-1972, 2023, DOI:10.32604/cmes.2023.026112
（This article belongs to this Special Issue: Advanced Computational Models for Decision-Making of Complex Systems in Engineering)
Abstract The dense and accurate measurement of 3D texture is helpful in evaluating the pavement function. To form dense mandatory constraints and improve matching accuracy, the traditional binocular reconstruction technology was improved threefold. First, a single moving laser line was introduced to carry out global scanning constraints on the target, which would well overcome the difficulty of installing and recognizing excessive laser lines. Second, four kinds of improved algorithms, namely, disparity replacement, superposition synthesis, subregion segmentation, and subregion segmentation centroid enhancement, were established based on different constraint mechanism. Last, the improved binocular reconstruction test device was developed to realize the dual… More >
Open Access
ARTICLE
Yingxue Sang1, Fengxia Han1,2,*, Qing Liu1,2, Liang Qiao3, Shouxi Wang3
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1973-1998, 2023, DOI:10.32604/cmes.2023.026218
（This article belongs to this Special Issue: Advanced Computational Models for Decision-Making of Complex Systems in Engineering)
Abstract Rapid urbanization has led to a surge in the number of towering structures, and overturning is widely used because it can better accommodate the construction of shaped structures such as variable sections. The complexity of the construction process makes the construction risk have certain randomness, so this paper proposes a cloud-based coupled matter-element model to address the ambiguity and randomness in the safety risk assessment of overturning construction of towering structures. In the pretended model, the digital eigenvalues of the cloud model are used to replace the eigenvalues in the matter–element basic element, and calculate the cloud correlation of the… More >
Open Access
ARTICLE
Mahmoud A. Abdelghany1,4, Mohamed Fathy Abo Sree2, Arpan Desai3, Ahmed A. Ibrahim4,*
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1999-2015, 2023, DOI:10.32604/cmes.2023.023643
（This article belongs to this Special Issue: Green IoE for Smart 5G and beyond (5GB) Applications)
Abstract A 4-port multiple-input multiple-output (MIMO) antenna exhibiting low mutual coupling and UWB performance is developed. The octagonal-shaped four-antenna elements are connected with a 50 Ω microstrip feed line that is arranged rotationally to achieve the orthogonal polarization for improving the MIMO system performance. The antenna has a wideband impedance bandwidth of 7.5 GHz with S11 < −10 dB from (103.44%) 3.5–11 GHz and inter-element isolation higher than 20 dB. Antenna validation is carried out by verifying the simulated and measured results after fabricating the antenna. The results in the form of omnidirectional radiation patterns, peak gain (≥4 dBi), and Envelope Correlation Coefficient (ECC) (≤0.01) are extracted to validate… More >
Graphic Abstract
Open Access
ARTICLE
Qixin Lan, Binqiang Chen*, Bin Yao
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 2017-2037, 2023, DOI:10.32604/cmes.2023.025307
（This article belongs to this Special Issue: AI and Machine Learning Modeling in Civil and Building Engineering)
Abstract Many kinds of electrical equipment are used in civil and building engineering. The motor is one of the main power components of this electrical equipment, which can provide stable power output. During the long-term use of motors, various motor faults may occur, which affects the normal use of electrical equipment and even causes accidents. It is significant to apply fault diagnosis for the motors at the construction site. Aiming at the problem that signal data of faulty motor lack diversity, this research designs a multi-layer perceptron Wasserstein generative adversarial network, which is used to enhance training data through distribution fusion.… More >
Open Access
ARTICLE
Runze Liu, Liguo Fei*, Jianing Mi
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 2039-2067, 2023, DOI:10.32604/cmes.2023.024927
（This article belongs to this Special Issue: Linguistic Approaches for Multiple Criteria Decision Making and Applications)
Abstract Probabilistic linguistic term sets (PLTSs) are an effective tool for expressing subjective human cognition that offer advantages in the field of multi-attribute decision-making (MADM). However, studies have found that PLTSs have lost their ability to accurately capture the views of decision-makers (DMs) in certain circumstances, such as when the DM hesitates between multiple linguistic terms or the decision information is incomplete, thus affecting their role in the decision-making process. Belief function theory is a leading stream of thought in uncertainty processing that is suitable for dealing with the limitations of PLTS. Therefore, the purpose of this study is to extend… More >
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Open Access
ARTICLE
Jiangtao Zhai1,*, Peng Lin1, Yongfu Cui1, Lilong Xu1, Ming Liu2
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 2069-2092, 2023, DOI:10.32604/cmes.2023.023764
（This article belongs to this Special Issue: Cyberspace Intelligent Mapping and Situational Awareness)
Abstract Encrypted traffic classification has become a hot issue in network security research. The class imbalance problem of traffic samples often causes the deterioration of Machine Learning based classifier performance. Although the Generative Adversarial Network (GAN) method can generate new samples by learning the feature distribution of the original samples, it is confronted with the problems of unstable training and mode collapse. To this end, a novel data augmenting approach called GraphCWGAN-GP is proposed in this paper. The traffic data is first converted into grayscale images as the input for the proposed model. Then, the minority class data is augmented with… More >
Open Access
ARTICLE
Mi Zhou1, Rui Liu1,*, Pengfei Yi1, Dongsheng Zhou1,2,*
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 2093-2109, 2023, DOI:10.32604/cmes.2023.024189
（This article belongs to this Special Issue: Recent Advances in Virtual Reality)
Abstract Multi-view multi-person 3D human pose estimation is a hot topic in the field of human pose estimation due to its wide range of application scenarios. With the introduction of end-to-end direct regression methods, the field has entered a new stage of development. However, the regression results of joints that are more heavily influenced by external factors are not accurate enough even for the optimal method. In this paper, we propose an effective feature recalibration module based on the channel attention mechanism and a relative optimal calibration strategy, which is applied to the multi-view multi-person 3D human pose estimation task to… More >
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