Home / Journals / CMES / Vol.135, No.1, 2023
Table of Content
  • Open Access

    EDITORIAL

    Introduction to the Special Issue on Advances on Modeling and State Estimation for Industrial Processes

    Shunyi Zhao1,*, Xiaoli Luan1, Jinfeng Liu2, Ruomu Tan3
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 1-3, 2023, DOI:10.32604/cmes.2022.024993
    Abstract This article has no abstract. More >

  • Open Access

    REVIEW

    Overview of Earth-Moon Transfer Trajectory Modeling and Design

    Jiye Zhang, Huichang Yu, Honghua Dai*
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 5-43, 2023, DOI:10.32604/cmes.2022.022585
    Abstract The Moon is the only celestial body that human beings have visited. The design of the Earth-Moon transfer orbits is a critical issue in lunar exploration missions. In the 21st century, new lunar missions including the construction of the lunar space station, the permanent lunar base, and the Earth-Moon transportation network have been proposed, requiring low-cost, expansive launch windows and a fixed arrival epoch for any launch date within the launch window. The low-energy and low-thrust transfers are promising strategies to satisfy the demands. This review provides a detailed landscape of Earth-Moon transfer trajectory design processes, from the traditional patched… More >

  • Open Access

    ARTICLE

    CEMA-LSTM: Enhancing Contextual Feature Correlation for Radar Extrapolation Using Fine-Grained Echo Datasets

    Zhiyun Yang1,#, Qi Liu1,#,*, Hao Wu1, Xiaodong Liu2, Yonghong Zhang3
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 45-64, 2023, DOI:10.32604/cmes.2022.022045
    Abstract Accurate precipitation nowcasting can provide great convenience to the public so they can conduct corresponding arrangements in advance to deal with the possible impact of upcoming heavy rain. Recent relevant research activities have shown their concerns on various deep learning models for radar echo extrapolation, where radar echo maps were used to predict their consequent moment, so as to recognize potential severe convective weather events. However, these approaches suffer from an inaccurate prediction of echo dynamics and unreliable depiction of echo aggregation or dissipation, due to the size limitation of convolution filter, lack of global feature, and less attention to… More >

    Graphic Abstract

    CEMA-LSTM: Enhancing Contextual Feature Correlation for Radar Extrapolation Using Fine-Grained Echo Datasets

  • Open Access

    ARTICLE

    The Class of Atomic Exponential Basis Functions EFupn(x,ω)-Development and Application

    Nives Brajčić Kurbaša*, Blaž Gotovac, Vedrana Kozulić
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 65-90, 2023, DOI:10.32604/cmes.2022.021940
    Abstract The purpose of this paper is to present the class of atomic basis functions (ABFs) which are of exponential type and are denoted by . While ABFs of the algebraic type are already represented in the numerical modeling of various problems in mathematical physics and computational mechanics, ABFs of the exponential type have not yet been sufficiently researched. These functions, unlike the ABFs of the algebraic type , contain the tension parameter , which gives them additional approximation properties. Exponential monomials up to the th degree can be described exactly by the linear combination of the functions . The function… More >

  • Open Access

    ARTICLE

    Corpus of Carbonate Platforms with Lexical Annotations for Named Entity Recognition

    Zhichen Hu1, Huali Ren2, Jielin Jiang1, Yan Cui4, Xiumian Hu3, Xiaolong Xu1,*
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 91-108, 2023, DOI:10.32604/cmes.2022.022268
    Abstract An obviously challenging problem in named entity recognition is the construction of the kind data set of entities. Although some research has been conducted on entity database construction, the majority of them are directed at Wikipedia or the minority at structured entities such as people, locations and organizational nouns in the news. This paper focuses on the identification of scientific entities in carbonate platforms in English literature, using the example of carbonate platforms in sedimentology. Firstly, based on the fact that the reasons for writing literature in key disciplines are likely to be provided by multidisciplinary experts, this paper designs… More >

  • Open Access

    ARTICLE

    Unique Solution of Integral Equations via Intuitionistic Extended Fuzzy b-Metric-Like Spaces

    Naeem Saleem1, Khalil Javed2, Fahim Uddin3, Umar Ishtiaq4, Khalil Ahmed2, Thabet Abdeljawad5,6,*, Manar A. Alqudah7
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 109-131, 2023, DOI:10.32604/cmes.2022.021031
    Abstract In this manuscript, our goal is to introduce the notion of intuitionistic extended fuzzy b-metric-like spaces. We establish some fixed point theorems in this setting. Also, we plot some graphs of an example of obtained result for better understanding. We use the concepts of continuous triangular norms and continuous triangular conorms in an intuitionistic fuzzy metric-like space. Triangular norms are used to generalize with the probability distribution of triangle inequality in metric space conditions. Triangular conorms are known as dual operations of triangular norms. The obtained results boost the approaches of existing ones in the literature and are supported by… More >

  • Open Access

    ARTICLE

    Numerical Assessment of Nanofluid Natural Convection Using Local RBF Method Coupled with an Artificial Compressibility Model

    Muneerah Al Nuwairan1,*, Elmiloud Chaabelasri2
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 133-154, 2023, DOI:10.32604/cmes.2022.022649
    Abstract In this paper, natural heat convection inside square and equilateral triangular cavities was studied using a meshless method based on collocation local radial basis function (RBF). The nanofluids used were Cu-water or -water mixture with nanoparticle volume fractions range of . A system of continuity, momentum, and energy partial differential equations was used in modeling the flow and temperature behavior of the fluids. Partial derivatives in the governing equations were approximated using the RBF method. The artificial compressibility model was implemented to overcome the pressure velocity coupling problem that occurs in such equations. The main goal of this work was… More >

    Graphic Abstract

    Numerical Assessment of Nanofluid Natural Convection Using Local RBF Method Coupled with an Artificial Compressibility Model

  • Open Access

    ARTICLE

    Cherenkov Radiation: A Stochastic Differential Model Driven by Brownian Motions

    Qingqing Li1,2, Zhiwen Duan1,2,*, Dandan Yang1,2
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 155-168, 2023, DOI:10.32604/cmes.2022.019249
    (This article belongs to this Special Issue: Mathematical Aspects of Computational Biology and Bioinformatics)
    Abstract With the development of molecular imaging, Cherenkov optical imaging technology has been widely concerned. Most studies regard the partial boundary flux as a stochastic variable and reconstruct images based on the steadystate diffusion equation. In this paper, time-variable will be considered and the Cherenkov radiation emission process will be regarded as a stochastic process. Based on the original steady-state diffusion equation, we first propose a stochastic partial differential equation model. The numerical solution to the stochastic partial differential model is carried out by using the finite element method. When the time resolution is high enough, the numerical solution of the… More >

  • Open Access

    ARTICLE

    Health Data Availability Protection: Delta-XOR-Relay Data Update in Erasure-Coded Cloud Storage Systems

    Yifei Xiao, Shijie Zhou*
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 169-185, 2023, DOI:10.32604/cmes.2022.021795
    (This article belongs to this Special Issue: Internet of Things in Healthcare and Health: Security and Privacy)
    Abstract To achieve the high availability of health data in erasure-coded cloud storage systems, the data update performance in erasure coding should be continuously optimized. However, the data update performance is often bottlenecked by the constrained cross-rack bandwidth. Various techniques have been proposed in the literature to improve network bandwidth efficiency, including delta transmission, relay, and batch update. These techniques were largely proposed individually previously, and in this work, we seek to use them jointly. To mitigate the cross-rack update traffic, we propose DXR-DU which builds on four valuable techniques: (i) delta transmission, (ii) XOR-based data update, (iii) relay, and (iv)… More >

  • Open Access

    ARTICLE

    A Note on Bell-Based Bernoulli and Euler Polynomials of Complex Variable

    N. Alam1, W. A. Khan2,*, S. Obeidat1, G. Muhiuddin3, N. S. Diab1, H. N. Zaidi1, A. Altaleb1, L. Bachioua1
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 187-209, 2023, DOI:10.32604/cmes.2022.021418
    (This article belongs to this Special Issue: Algebra, Number Theory, Combinatorics and Their Applications: Mathematical Theory and Computational Modelling)
    Abstract In this article, we construct the generating functions for new families of special polynomials including two parametric kinds of Bell-based Bernoulli and Euler polynomials. Some fundamental properties of these functions are given. By using these generating functions and some identities, relations among trigonometric functions and two parametric kinds of Bell-based Bernoulli and Euler polynomials, Stirling numbers are presented. Computational formulae for these polynomials are obtained. Applying a partial derivative operator to these generating functions, some derivative formulae and finite combinatorial sums involving the aforementioned polynomials and numbers are also obtained. In addition, some remarks and observations on these polynomials are… More >

  • Open Access

    ARTICLE

    Interactive Trajectory Star Coordinates i-tStar and Its Extension i-tStar (3D)

    Jing He1,2, Haonan Chen3,*, Lingxiao Li4, Yebin Zou5
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 211-237, 2023, DOI:10.32604/cmes.2022.020597
    (This article belongs to this Special Issue: Computational Mechanics Assisted Modern Urban Planning and Infrastructure)
    Abstract There are many sources of geographic big data, and most of them come from heterogeneous environments. The data sources obtained in this case contain attribute information of different spatial scales, different time scales and different complexity levels. It is worth noting that the emergence of new high-dimensional trajectory data types and the increasing number of details are becoming more difficult. In this case, visualizing high-dimensional spatiotemporal trajectory data is extremely challenging. Therefore, i-tStar and its extension i-tStar (3D) proposed, a trajectory behavior feature for moving objects that are integrated into a view with less effort to display and extract spatiotemporal… More >

    Graphic Abstract

    Interactive Trajectory Star Coordinates i-tStar and Its Extension i-tStar (3D)

  • Open Access

    ARTICLE

    Short Video Recommendation Algorithm Incorporating Temporal Contextual Information and User Context

    Weihua Liu1, Haoyang Wan2,*, Boyuan Yan2
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 239-258, 2023, DOI:10.32604/cmes.2022.022827
    (This article belongs to this Special Issue: Artificial Intelligence for Mobile Edge Computing in IoT)
    Abstract With the popularity of 5G and the rapid development of mobile terminals, an endless stream of short video software exists. Browsing short-form mobile video in fragmented time has become the mainstream of user’s life. Hence, designing an efficient short video recommendation method has become important for major network platforms to attract users and satisfy their requirements. Nevertheless, the explosive growth of data leads to the low efficiency of the algorithm, which fails to distill users’ points of interest on one hand effectively. On the other hand, integrating user preferences and the content of items urgently intensify the requirements for platform… More >

    Graphic Abstract

    Short Video Recommendation Algorithm Incorporating Temporal Contextual Information and User Context

  • Open Access

    ARTICLE

    The Fractional Investigation of Fornberg-Whitham Equation Using an Efficient Technique

    Hassan Khan1,2, Poom Kumam3,4,*, Asif Nawaz1, Qasim Khan1, Shahbaz Khan1
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 259-273, 2023, DOI:10.32604/cmes.2022.021332
    (This article belongs to this Special Issue: Fractal-Fractional Models for Engineering & Sciences)
    Abstract In the last few decades, it has become increasingly clear that fractional calculus always plays a very significant role in various branches of applied sciences. For this reason, fractional partial differential equations (FPDEs) are of more importance to model the different physical processes in nature more accurately. Therefore, the analytical or numerical solutions to these problems are taken into serious consideration and several techniques or algorithms have been developed for their solution. In the current work, the idea of fractional calculus has been used, and fractional Fornberg Whitham equation (FFWE) is represented in its fractional view analysis. A well-known method… More >

  • Open Access

    ARTICLE

    Cushioning Performance of Hilbert Fractal Sandwich Packaging Structures under Quasi-Static Compressions

    Xingye Xu1, Haiyan Song1,2,*, Lijun Wang1,2
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 275-292, 2023, DOI:10.32604/cmes.2022.022637
    (This article belongs to this Special Issue: Fractal-Fractional Models for Engineering & Sciences)
    Abstract The sandwich structure of cushioning packaging has an important influence on the cushioning performance. Mathematical fractal theory is an important graphic expression. Based on Hilbert fractal theory, a new sandwich structure was designed. The generation mechanism and recurrence formula of the Hilbert fractal were expressed by Lin’s language, and the second-order Hilbert sandwich structure was constructed from thermoplastic polyurethane. The constitutive model of the hyperelastic body was established by using the finite element method. With the unit mass energy absorption as the optimization goal, the fractal sandwich structure was optimized, and the best result was obtained when the order was… More >

  • Open Access

    ARTICLE

    New Class of Doubt Bipolar Fuzzy Sub Measure Algebra

    Shadia Majeed Noori1,2, Abd Ghafur Ahmad1, Shuker Mahmood Khalil3,*
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 293-300, 2023, DOI:10.32604/cmes.2022.021887
    (This article belongs to this Special Issue: Extension, Modeling and Applications of Fuzzy Set Theory in Engineering and Science)
    Abstract The ideas of ambiguous bipolar skepticism under algebra and closed skepticism ambiguous bipolar ideals and related features have been developed. The fuzzy measure ideal is described in terms of bipolar ambiguous measure algebra and bipolar skepticism, and the linkages between bipolar fuzzy measure algebra are determined. A bipolar misty ideal’s skepticism is examined. In BCW and BCL-measure algebra, homogeneous ideas and dubious pictures of fuzzy bipolar measure ideas are examined. Also, we gave the relationship between these concepts. Finally, it is given the perfect terms for an occult bipolar doubt to be a measure of ideal fuzzy bipolar closed doubt. More >

  • Open Access

    ARTICLE

    Novel Apodized Fiber Bragg Grating Applied for Medical Sensors: Performance Investigation

    Ramya Arumugam1, Ramamoorthy Kumar1,*, Samiappan Dhanalakshmi1, Khin Wee Lai2, Lei Jiao3,*, Xiang Wu4
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 301-323, 2023, DOI:10.32604/cmes.2022.022144
    (This article belongs to this Special Issue: Enabled and Human-centric Computational Intelligence Solutions for Visual Understanding and Application)
    Abstract Sensors play an important role in shaping and monitoring human health. Exploration of methods to use Fiber Bragg Grating (FBG) with enhanced sensitivity has attracted great interest in the field of medical research. In this paper, a novel apodization function is proposed and performance evaluation and optimization of the same have been made. A comparison was conducted between various existing apodization functions and the proposed one based on optical characteristics and sensor parameters. The results evince the implementation of the proposed apodization function for vital sign measurement. The optical characteristics considered for evaluation are Peak Resonance Reflectivity level, Side Lobes… More >

    Graphic Abstract

    Novel Apodized Fiber Bragg Grating Applied for Medical Sensors: Performance Investigation

  • Open Access

    ARTICLE

    Scheduling an Energy-Aware Parallel Machine System with Deteriorating and Learning Effects Considering Multiple Optimization Objectives and Stochastic Processing Time

    Lei Wang1,2,*, Yuxin Qi1,2
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 325-339, 2023, DOI:10.32604/cmes.2022.019730
    (This article belongs to this Special Issue: Artificial Intelligence in Renewable Energy and Storage Systems)
    Abstract Currently, energy conservation draws wide attention in industrial manufacturing systems. In recent years, many studies have aimed at saving energy consumption in the process of manufacturing and scheduling is regarded as an effective approach. This paper puts forwards a multi-objective stochastic parallel machine scheduling problem with the consideration of deteriorating and learning effects. In it, the real processing time of jobs is calculated by using their processing speed and normal processing time. To describe this problem in a mathematical way, a multi-objective stochastic programming model aiming at realizing makespan and energy consumption minimization is formulated. Furthermore, we develop a multi-objective… More >

  • Open Access

    ARTICLE

    A Dimension-Splitting Variational Multiscale Element-Free Galerkin Method for Three-Dimensional Singularly Perturbed Convection-Diffusion Problems

    Jufeng Wang1, Yong Wu1, Ying Xu1, Fengxin Sun2,*
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 341-356, 2023, DOI:10.32604/cmes.2022.023140
    (This article belongs to this Special Issue: Numerical Methods in Engineering Analysis, Data Analysis and Artificial Intelligence)
    Abstract By introducing the dimensional splitting (DS) method into the multiscale interpolating element-free Galerkin (VMIEFG) method, a dimension-splitting multiscale interpolating element-free Galerkin (DS-VMIEFG) method is proposed for three-dimensional (3D) singular perturbed convection-diffusion (SPCD) problems. In the DS-VMIEFG method, the 3D problem is decomposed into a series of 2D problems by the DS method, and the discrete equations on the 2D splitting surface are obtained by the VMIEFG method. The improved interpolation-type moving least squares (IIMLS) method is used to construct shape functions in the weak form and to combine 2D discrete equations into a global system of discrete equations for the… More >

  • Open Access

    ARTICLE

    Application of Smoothed Particle Hydrodynamics (SPH) for the Simulation of Flow-Like Landslides on 3D Terrains

    Binghui Cui1,*, Liaojun Zhang2
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 357-376, 2023, DOI:10.32604/cmes.2022.022309
    (This article belongs to this Special Issue: Advances on Mesh and Dimension Reduction Methods)
    Abstract Flow-type landslide is one type of landslide that generally exhibits characteristics of high flow velocities, long jump distances, and poor predictability. Simulation of its propagation process can provide solutions for risk assessment and mitigation design. The smoothed particle hydrodynamics (SPH) method has been successfully applied to the simulation of two-dimensional (2D) and three-dimensional (3D) flow-like landslides. However, the influence of boundary resistance on the whole process of landslide failure is rarely discussed. In this study, a boundary condition considering friction is proposed and integrated into the SPH method, and its accuracy is verified. Moreover, the Navier-Stokes equation combined with the… More >

    Graphic Abstract

    Application of Smoothed Particle Hydrodynamics (SPH) for the Simulation of Flow-Like Landslides on 3D Terrains

  • Open Access

    ARTICLE

    A Modified Formulation of Singular Boundary Method for Exterior Acoustics

    Yi Wu, Zhuojia Fu*, Jian Min
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 377-393, 2023, DOI:10.32604/cmes.2022.023205
    (This article belongs to this Special Issue: Advances on Mesh and Dimension Reduction Methods)
    Abstract This paper proposes a modified formulation of the singular boundary method (SBM) by introducing the combined Helmholtz integral equation formulation (CHIEF) and the self-regularization technique to exterior acoustics. In the SBM, the concept of the origin intensity factor (OIF) is introduced to avoid the singularities of the fundamental solutions. The SBM belongs to the meshless boundary collocation methods. The additional use of the CHIEF scheme and the self-regularization technique in the SBM guarantees the unique solution of the exterior acoustics accurately and efficiently. Consequently, by using the SBM coupled with the CHIEF scheme and the self-regularization technique, the accuracy of… More >

  • Open Access

    ARTICLE

    Underconstrained Cable-Driven Parallel Suspension System of Virtual Flight Test Model in Wind Tunnel

    Huisong Wu, Kaichun Zeng, Li Yu, Yan Li, Xiping Kou*
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 395-416, 2023, DOI:10.32604/cmes.2022.021650
    (This article belongs to this Special Issue: Vibration Control and Utilization)
    Abstract An underconstrained cable-driven parallel robot (CDPR) suspension system was designed for a virtual flight testing (VFT) model. This mechanism includes two identical upper and lower kinematic chains, each of which comprises a cylindrical pair, rotating pair, and cable parallelogram. The model is pulled via two cables at the top and bottom and fixed by a yaw turntable, which can realize free coupling and decoupling with three rotational degrees of freedom of the model. First, the underconstrained CDPR suspension system of the VFT model was designed according to the mechanics theory, the degrees of freedom were verified, and the support platform… More >

  • Open Access

    ARTICLE

    The Coupled Thermo-Chemo-Mechanical Peridynamics for ZrB2 Ceramics Ablation Behavior

    Yuanzhe Li1, Qiwen Liu2,*, Lisheng Liu2, Hai Mei2
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 417-439, 2023, DOI:10.32604/cmes.2022.021258
    (This article belongs to this Special Issue: Peridynamics and its Current Progress)
    Abstract The ablation of ultra-high-temperature ceramics (UTHCs) is a complex physicochemical process including mechanical behavior, temperature effect, and chemical reactions. In order to realize the structural optimization and functional design of ultra-high temperature ceramics, a coupled thermo-chemo-mechanical bond-based peridynamics (PD) model is proposed based on the ZrB2 ceramics oxidation kinetics model and coupled thermo-mechanical bond-based peridynamics. Compared with the traditional coupled thermo-mechanical model, the proposed model considers the influence of chemical reaction process on the ablation resistance of ceramic materials. In order to verify the reliability of the proposed model, the thermo-mechanical coupling model, damage model and oxidation kinetic model are… More >

  • Open Access

    ARTICLE

    Optimal Joint Space Control of a Cable-Driven Aerial Manipulator

    Li Ding1,*, Rui Ma1, Zhengtian Wu2, Rongzhi Qi1, Wenrui Ruan1
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 441-464, 2023, DOI:10.32604/cmes.2022.022642
    (This article belongs to this Special Issue: Advanced Intelligent Decision and Intelligent Control with Applications in Smart City)
    Abstract This article proposes a novel method for maintaining the trajectory of an aerial manipulator by utilizing a fast nonsingular terminal sliding mode (FNTSM) manifold and a linear extended state observer (LESO). The developed control method applies an FNTSM to ensure the tracking performance’s control accuracy, and an LESO to estimate the system’s unmodeled dynamics and external disturbances. Additionally, an improved salp swarm algorithm (ISSA) is employed to parameter tune the suggested controller by integrating the salp swarm technique with a cloud model. This approach also uses a model-free scheme to reduce the complexity of controller design without relying on complex… More >

  • Open Access

    ARTICLE

    Influence of Vertical Load on Lateral-Loaded Monopiles by Numerical Simulation

    Qiang Li1,2,*, Pan Chen1, Lihong Gao1, Dan Meng1, Jinjie Zou1
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 465-481, 2023, DOI:10.32604/cmes.2022.020300
    (This article belongs to this Special Issue: Computer Modeling in Ocean Engineering Structure and Mechanical Equipment)
    Abstract Monopiles are the most common foundation form of offshore wind turbines, which bear the vertical load, lateral load and bending moment. It remains uncertain whether the applied vertical load increases the lateral deflection of the pile. This paper investigated the influence of vertical load on the behaviour of monopiles installed in the sand under combined load using three-dimensional numerical methods. The commercial software PLAXIS was used for simulations in this paper. Monopiles were modelled as a structure incorporating linear elastic material behaviour and soil was modelled using the Hardening-Soil (HS) constitutive model. The monopiles under vertical load, lateral load and… More >

  • Open Access

    ARTICLE

    Investigation on the Folding Mode and Deployment Process of an Inflatable Boarding Platform for the Marine Emergency Evacuation System

    Chongyang Nie, Fankai Kong*, Huaqiu Ding, Hongli Pan
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 483-510, 2023, DOI:10.32604/cmes.2022.021083
    (This article belongs to this Special Issue: Computer Modeling in Ocean Engineering Structure and Mechanical Equipment)
    Abstract The different folding and storage forms of an inflatable boarding platform will have a direct impact on the deployment effect of the marine emergency evacuation system. This paper proposes different folding and storage methods for an inflatable boarding platform in a marine emergency evacuation system. According to the difference between the fold line and the fold direction, the numerical models of a boarding platform with partial fold, “Z” type fold and inner spiral fold are established. The platform models with three folding modes are simulated by numerical simulation. According to the numerical results of the inflation process, the displacement changes… More >

    Graphic Abstract

    Investigation on the Folding Mode and Deployment Process of an Inflatable Boarding Platform for the Marine Emergency Evacuation System

  • Open Access

    ARTICLE

    A Modified Bi-Directional Evolutionary Structural Optimization Procedure with Variable Evolutionary Volume Ratio Applied to Multi-Objective Topology Optimization Problem

    Xudong Jiang1,*, Jiaqi Ma1, Xiaoyan Teng2
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 511-526, 2023, DOI:10.32604/cmes.2022.022785
    (This article belongs to this Special Issue: Computer Modeling in Ocean Engineering Structure and Mechanical Equipment)
    Abstract Natural frequency and dynamic stiffness under transient loading are two key performances for structural design related to automotive, aviation and construction industries. This article aims to tackle the multi-objective topological optimization problem considering dynamic stiffness and natural frequency using modified version of bi-directional evolutionary structural optimization (BESO). The conventional BESO is provided with constant evolutionary volume ratio (EVR), whereas low EVR greatly retards the optimization process and high EVR improperly removes the efficient elements. To address the issue, the modified BESO with variable EVR is introduced. To compromise the natural frequency and the dynamic stiffness, a weighting scheme of sensitivity… More >

  • Open Access

    ARTICLE

    A Novel RFID Localization Approach to Smart Self-Service Borrowing and Returning System

    Siguo Bi1, Cong Wang1, Jiajie Shen1, Wang Xiang1, Wei Ni2, Xin Wang1, Bochun Wu1,*, Yi Gong1,3,*
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 527-538, 2023, DOI:10.32604/cmes.2022.022298
    (This article belongs to this Special Issue: Models of Computation: Specification, Implementation and Challenges)
    Abstract The misreading problem of a passive ultra-high-frequency (UHF) radio frequency identification (RFID) tag is a frequent problem arising in the field of librarianship. Unfortunately, existing solutions are something inefficient, e.g., extra resource requirement, inaccuracy, and empiricism. To this end, under comprehensive analysis on the passive UHF RFID application in the librarianship scenario, a novel and judicious approach based on RFID localization is proposed to address such a misreading problem. Extensive simulation results show that the proposed approach can outperform the existing ones and can be an attractive candidate in practice. More >

  • Open Access

    ARTICLE

    Facial Expression Recognition Based on Multi-Channel Attention Residual Network

    Tongping Shen1,2,*, Huanqing Xu1
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 539-560, 2023, DOI:10.32604/cmes.2022.022312
    (This article belongs to this Special Issue: Models of Computation: Specification, Implementation and Challenges)
    Abstract For the problems of complex model structure and too many training parameters in facial expression recognition algorithms, we proposed a residual network structure with a multi-headed channel attention (MCA) module. The migration learning algorithm is used to pre-train the convolutional layer parameters and mitigate the overfitting caused by the insufficient number of training samples. The designed MCA module is integrated into the ResNet18 backbone network. The attention mechanism highlights important information and suppresses irrelevant information by assigning different coefficients or weights, and the multi-head structure focuses more on the local features of the pictures, which improves the efficiency of facial… More >

  • Open Access

    ARTICLE

    Dark-Forest: Analysis on the Behavior of Dark Web Traffic via DeepForest and PSO Algorithm

    Xin Tong1, Changlin Zhang2,*, Jingya Wang1, Zhiyan Zhao1, Zhuoxian Liu1
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 561-581, 2023, DOI:10.32604/cmes.2022.022495
    (This article belongs to this Special Issue: Models of Computation: Specification, Implementation and Challenges)
    Abstract The dark web is a shadow area hidden in the depths of the Internet, which is difficult to access through common search engines. Because of its anonymity, the dark web has gradually become a hotbed for a variety of cyber-crimes. Although some research based on machine learning or deep learning has been shown to be effective in the task of analyzing dark web traffic in recent years, there are still pain points such as low accuracy, insufficient real-time performance, and limited application scenarios. Aiming at the difficulties faced by the existing automated dark web traffic analysis methods, a novel method… More >

  • Open Access

    ARTICLE

    Covert Communication in Integrated High Altitude Platform Station Terrestrial Networks

    Zeke Wu1, Kefeng Guo2,*, Rui Liu1, Shibin Zhu1
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 583-598, 2023, DOI:10.32604/cmes.2022.023093
    (This article belongs to this Special Issue: Recent Advances in Backscatter and Intelligent Reflecting Surface Communications for 6G-enabled Internet of Things Networks)
    Abstract In recent years, Internet of Things (IoT) technology has emerged and gradually sprung up. As the needs of large-scale IoT applications cannot be satisfied by the fifth generation (5G) network, wireless communication network needs to be developed into the sixth generation (6G) network. However, with the increasingly prominent security problems of wireless communication networks such as 6G, covert communication has been recognized as one of the most promising solutions. Covert communication can realize the transmission of hidden information between both sides of communication to a certain extent, which makes the transmission content and transmission behavior challenging to be detected by… More >

    Graphic Abstract

    Covert Communication in Integrated High Altitude Platform Station Terrestrial Networks

  • Open Access

    ARTICLE

    An Edge-Fog-Cloud Computing-Based Digital Twin Model for Prognostics Health Management of Process Manufacturing Systems

    Jie Ren1,2, Chuqiao Xu3, Junliang Wang2,4, Jie Zhang2,*, Xinhua Mao4, Wei Shen4
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 599-618, 2023, DOI:10.32604/cmes.2022.022415
    (This article belongs to this Special Issue: Computing Methods for Industrial Artificial Intelligence)
    Abstract The prognostics health management (PHM) from the systematic view is critical to the healthy continuous operation of process manufacturing systems (PMS), with different kinds of dynamic interference events. This paper proposes a three leveled digital twin model for the systematic PHM of PMSs. The unit-leveled digital twin model of each basic device unit of PMSs is constructed based on edge computing, which can provide real-time monitoring and analysis of the device status. The station-leveled digital twin models in the PMSs are designed to optimize and control the process parameters, which are deployed for the manufacturing execution on the fog server.… More >

  • Open Access

    ARTICLE

    Aggregation Operators for Interval-Valued Pythagorean Fuzzy Hypersoft Set with Their Application to Solve MCDM Problem

    Rana Muhammad Zulqarnain1, Imran Siddique2, Rifaqat Ali3, Fahd Jarad4,5,6,*, Aiyared Iampan7
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 619-651, 2023, DOI:10.32604/cmes.2022.022767
    (This article belongs to this Special Issue: Decision making Modeling, Methods and Applications of Advanced Fuzzy Theory in Engineering and Science)
    Abstract Experts use Pythagorean fuzzy hypersoft sets (PFHSS) in their investigations to resolve the indeterminate and imprecise information in the decision-making process. Aggregation operators (AOs) perform a leading role in perceptivity among two circulations of prospect and pull out concerns from that perception. In this paper, we extend the concept of PFHSS to interval-valued PFHSS (IVPFHSS), which is the generalized form of interval-valued intuitionistic fuzzy soft set. The IVPFHSS competently deals with uncertain and ambagious information compared to the existing interval-valued Pythagorean fuzzy soft set. It is the most potent method for amplifying fuzzy data in the decision-making (DM) practice. Some… More >

  • Open Access

    ARTICLE

    Ensemble Classifier Design Based on Perturbation Binary Salp Swarm Algorithm for Classification

    Xuhui Zhu1,3, Pingfan Xia1,3, Qizhi He2,4,*, Zhiwei Ni1,3, Liping Ni1,3
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 653-671, 2023, DOI:10.32604/cmes.2022.022985
    (This article belongs to this Special Issue: Data-Driven Robust Group Decision-Making Optimization and Application)
    Abstract Multiple classifier system exhibits strong classification capacity compared with single classifiers, but they require significant computational resources. Selective ensemble system aims to attain equivalent or better classification accuracy with fewer classifiers. However, current methods fail to identify precise solutions for constructing an ensemble classifier. In this study, we propose an ensemble classifier design technique based on the perturbation binary salp swarm algorithm (ECDPB). Considering that extreme learning machines (ELMs) have rapid learning rates and good generalization ability, they can serve as the basic classifier for creating multiple candidates while using fewer computational resources. Meanwhile, we introduce a combined diversity measure… More >

  • Open Access

    ARTICLE

    On Some Novel Fixed Point Results for Generalized -Contractions in -Metric-Like Spaces with Application

    Kastriot Zoto1, Ilir Vardhami2, Dušan Bajović3, Zoran D. Mitrović3,*, Stojan Radenović4
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 673-686, 2023, DOI:10.32604/cmes.2022.022878
    (This article belongs to this Special Issue: Computational Aspects of Nonlinear Operator and Fixed Point Theory with Applications)
    Abstract The focus of our work is on the most recent results in fixed point theory related to contractive mappings. We describe variants of -contractions that expand, supplement and unify an important work widely discussed in the literature, based on existing classes of interpolative and -contractions. In particular, a large class of contractions in terms of and F for both linear and nonlinear contractions are defined in the framework of -metric-like spaces. The main result in our paper is that --weak contractions have a fixed point in -metric-like spaces if function F or the specified contraction is continuous. As an application… More >

  • Open Access

    ARTICLE

    Skeleton-Based Volumetric Parameterizations for Lattice Structures

    Long Chen1,*, Shuxun Liang2, Nan Yan2, Xiangqian Yang2, Baotong Li3
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 687-709, 2023, DOI:10.32604/cmes.2022.021986
    (This article belongs to this Special Issue: Integration of Geometric Modeling and Numerical Simulation)
    Abstract Lattice structures with excellent physical properties have attracted great research interest. In this paper, a novel volume parametric modeling method based on the skeleton model is proposed for the construction of three-dimensional lattice structures. The skeleton model is divided into three types of nodes. And the corresponding algorithms are utilized to construct diverse types of volume parametric nodes. The unit-cell is assembled with distinct nodes according to the geometric features. The final lattice structure is created by the periodic arrangement of unit-cells. Several different types of volume parametric lattice structures are constructed to prove the stability and applicability of the… More >

    Graphic Abstract

    Skeleton-Based Volumetric Parameterizations for Lattice Structures

  • Open Access

    ARTICLE

    PSAP-WSN: A Provably Secure Authentication Protocol for 5G-Based Wireless Sensor Networks

    Xuanang Li1, Shuangshuang Liu1, Saru Kumari2, Chien-Ming Chen1,*
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 711-732, 2023, DOI:10.32604/cmes.2022.022667
    (This article belongs to this Special Issue: Computational Intelligence Techniques for Securing Systems and Networks beyond 5G)
    Abstract Nowadays, the widespread application of 5G has promoted rapid development in different areas, particularly in the Internet of Things (IoT), where 5G provides the advantages of higher data transfer rate, lower latency, and widespread connections. Wireless sensor networks (WSNs), which comprise various sensors, are crucial components of IoT. The main functions of WSN include providing users with real-time monitoring information, deploying regional information collection, and synchronizing with the Internet. Security in WSNs is becoming increasingly essential because of the across-the-board nature of wireless technology in many fields. Recently, Yu et al. proposed a user authentication protocol for WSN. However, their design is vulnerable… More >

  • Open Access

    ARTICLE

    Seismic Liquefaction Resistance Based on Strain Energy Concept Considering Fine Content Value Effect and Performance Parametric Sensitivity Analysis

    Nima Pirhadi1, Xusheng Wan1, Jianguo Lu1, Jilei Hu2,3,*, Mahmood Ahmad4,5, Farzaneh Tahmoorian6
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 733-754, 2023, DOI:10.32604/cmes.2022.022207
    (This article belongs to this Special Issue: Computational Intelligent Systems for Solving Complex Engineering Problems: Principles and Applications)
    Abstract Liquefaction is one of the most destructive phenomena caused by earthquakes, which has been studied in the issues of potential, triggering and hazard analysis. The strain energy approach is a common method to investigate liquefaction potential. In this study, two Artificial Neural Network (ANN) models were developed to estimate the liquefaction resistance of sandy soil based on the capacity strain energy concept (W) by using laboratory test data. A large database was collected from the literature. One group of the dataset was utilized for validating the process in order to prevent overtraining the presented model. To investigate the complex influence… More >

  • Open Access

    ARTICLE

    Machine Learning-Based Channel State Estimators for 5G Wireless Communication Systems

    Mohamed Hassan Essai Ali1,*, Fahad Alraddady2, Mo’ath Y. Al-Thunaibat3, Shaima Elnazer2
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 755-778, 2023, DOI:10.32604/cmes.2022.022246
    (This article belongs to this Special Issue: AI-Driven Engineering Applications)
    Abstract For a 5G wireless communication system, a convolutional deep neural network (CNN) is employed to synthesize a robust channel state estimator (CSE). The proposed CSE extracts channel information from transmit-and-receive pairs through offline training to estimate the channel state information. Also, it utilizes pilots to offer more helpful information about the communication channel. The proposed CNN-CSE performance is compared with previously published results for Bidirectional/long short-term memory (BiLSTM/LSTM) NNs-based CSEs. The CNN-CSE achieves outstanding performance using sufficient pilots only and loses its functionality at limited pilots compared with BiLSTM and LSTM-based estimators. Using three different loss function-based classification layers and… More >

  • Open Access

    ARTICLE

    Image Color Rendering Based on Hinge-Cross-Entropy GAN in Internet of Medical Things

    Hong’an Li1, Min Zhang1,*, Dufeng Chen2, Jing Zhang1, Meng Yang3, Zhanli Li1
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 779-794, 2023, DOI:10.32604/cmes.2022.022369
    (This article belongs to this Special Issue: Advances in Edge Intelligence for Internet of Things)
    Abstract Computer-aided diagnosis based on image color rendering promotes medical image analysis and doctor-patient communication by highlighting important information of medical diagnosis. To overcome the limitations of the color rendering method based on deep learning, such as poor model stability, poor rendering quality, fuzzy boundaries and crossed color boundaries, we propose a novel hinge-cross-entropy generative adversarial network (HCEGAN). The self-attention mechanism was added and improved to focus on the important information of the image. And the hinge-cross-entropy loss function was used to stabilize the training process of GAN models. In this study, we implement the HCEGAN model for image color rendering… More >

    Graphic Abstract

    Image Color Rendering Based on Hinge-Cross-Entropy GAN in Internet of Medical Things

  • Open Access

    ARTICLE

    A Study of BERT-Based Classification Performance of Text-Based Health Counseling Data

    Yeol Woo Sung, Dae Seung Park, Cheong Ghil Kim*
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 795-808, 2023, DOI:10.32604/cmes.2022.022465
    (This article belongs to this Special Issue: Computer Modeling of Artificial Intelligence and Medical Imaging)
    Abstract The entry into a hyper-connected society increases the generalization of communication using SNS. Therefore, research to analyze big data accumulated in SNS and extract meaningful information is being conducted in various fields. In particular, with the recent development of Deep Learning, the performance is rapidly improving by applying it to the field of Natural Language Processing, which is a language understanding technology to obtain accurate contextual information. In this paper, when a chatbot system is applied to the healthcare domain for counseling about diseases, the performance of NLP integrated with machine learning for the accurate classification of medical subjects from… More >

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