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  • Open Access

    ARTICLE

    PIMS: An Efficient Process Integrity Monitoring System Based on Blockchain and Trusted Computing in Cloud-Native Context

    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

    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

    Safety Risk Assessment of Overturning Construction of Towering Structure Based on Cloud Matter–Element Coupled Model

    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

    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

    A Linear Homomorphic Proxy Signature Scheme Based on Blockchain for Internet of Things

    Caifen Wang1,*, Bin Wu2

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1857-1878, 2023, DOI:10.32604/cmes.2023.026153

    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 >

  • Open Access

    ARTICLE

    Improvement of Binocular Reconstruction Algorithm for Measuring 3D Pavement Texture Using a Single Laser Line Scanning Constraint

    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

    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

    A Simple and Efficient Structural Topology Optimization Implementation Using Open-Source Software for All Steps of the Algorithm: Modeling, Sensitivity Analysis and Optimization

    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

    Modeling of Hydrogen Blending on the Leakage and Diffusion of Urban Buried Hydrogen-Enriched Natural Gas Pipeline

    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

    Modeling of Hydrogen Blending on the Leakage and Diffusion of Urban Buried Hydrogen-Enriched Natural Gas Pipeline

  • Open Access

    ARTICLE

    Numerical Simulation of Fretting Fatigue Damage Evolution of Cable Wires Considering Corrosion and Wear Effects

    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

    Numerical Simulation of Fretting Fatigue Damage Evolution of Cable Wires Considering Corrosion and Wear Effects

  • Open Access

    ARTICLE

    Distributionally Robust Newsvendor Model for Fresh Products under Cap-and-Offset Regulation

    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

    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

    Distributionally Robust Newsvendor Model for Fresh Products under Cap-and-Offset Regulation

  • Open Access

    ARTICLE

    Technique for Multi-Pass Turning Optimization Based on Gaussian Quantum-Behaved Bat Algorithm

    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

    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

    Experimental and Numerical Research on Water Transport during Adsorption and Desorption in Cement-Based Materials

    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

    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 >

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