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  • Open Access

    ARTICLE

    Nonlinear Study on the Mechanical Performance of Built-Up Cold-Formed Steel Concrete-Filled Columns under Compression

    Oulfa Harrat1,*, Yazid Hadidane1, S. M. Anas2,*, Nadhim Hamah Sor3,4, Ahmed Farouk Deifalla5, Paul O. Awoyera6, Nadia Gouider1

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.3, pp. 3435-3465, 2024, DOI:10.32604/cmes.2023.044950

    Abstract Given their numerous functional and architectural benefits, such as improved bearing capacity and increased resistance to elastic instability modes, cold-formed steel (CFS) built-up sections have become increasingly developed and used in recent years, particularly in the construction industry. This paper presents an analytical and numerical study of assembled CFS two single channel-shaped columns with different slenderness and configurations (back-to-back, face-to-face, and box). These columns were joined by double-row rivets for the back-to-back and box configurations, whereas they were welded together for the face-to-face design. The built-up columns were filled with ordinary concrete of good strength. Finite element models were applied,… More > Graphic Abstract

    Nonlinear Study on the Mechanical Performance of Built-Up Cold-Formed Steel Concrete-Filled Columns under Compression

  • Open Access

    ARTICLE

    An Energy Trading Method Based on Alliance Blockchain and Multi-Signature

    Hongliang Tian, Jiaming Wang*

    CMC-Computers, Materials & Continua, Vol.78, No.2, pp. 1611-1629, 2024, DOI:10.32604/cmc.2023.046698

    Abstract Blockchain, known for its secure encrypted ledger, has garnered attention in financial and data transfer realms, including the field of energy trading. However, the decentralized nature and identity anonymity of user nodes raise uncertainties in energy transactions. The broadcast consensus authentication slows transaction speeds, and frequent single-point transactions in multi-node settings pose key exposure risks without protective measures during user signing. To address these, an alliance blockchain scheme is proposed, reducing the resource-intensive identity verification among nodes. It integrates multi-signature functionality to fortify user resources and transaction security. A novel multi-signature process within this framework involves neutral nodes established through… More >

  • Open Access

    ARTICLE

    Performance Comparison of Hyper-V and KVM for Cryptographic Tasks in Cloud Computing

    Nader Abdel Karim1,*, Osama A. Khashan2,*, Waleed K. Abdulraheem3, Moutaz Alazab1, Hasan Kanaker4, Mahmoud E. Farfoura5, Mohammad Alshinwan5,6

    CMC-Computers, Materials & Continua, Vol.78, No.2, pp. 2023-2045, 2024, DOI:10.32604/cmc.2023.044304

    Abstract As the extensive use of cloud computing raises questions about the security of any personal data stored there, cryptography is being used more frequently as a security tool to protect data confidentiality and privacy in the cloud environment. A hypervisor is a virtualization software used in cloud hosting to divide and allocate resources on various pieces of hardware. The choice of hypervisor can significantly impact the performance of cryptographic operations in the cloud environment. An important issue that must be carefully examined is that no hypervisor is completely superior in terms of performance; Each hypervisor should be examined to meet… More >

  • Open Access

    ARTICLE

    RPL-Based IoT Networks under Decreased Rank Attack: Performance Analysis in Static and Mobile Environments

    Amal Hkiri1,*, Mouna Karmani1, Omar Ben Bahri2, Ahmed Mohammed Murayr2, Fawaz Hassan Alasmari2, Mohsen Machhout1

    CMC-Computers, Materials & Continua, Vol.78, No.1, pp. 227-247, 2024, DOI:10.32604/cmc.2023.047087

    Abstract The RPL (IPv6 Routing Protocol for Low-Power and Lossy Networks) protocol is essential for efficient communication within the Internet of Things (IoT) ecosystem. Despite its significance, RPL’s susceptibility to attacks remains a concern. This paper presents a comprehensive simulation-based analysis of the RPL protocol’s vulnerability to the decreased rank attack in both static and mobile network environments. We employ the Random Direction Mobility Model (RDM) for mobile scenarios within the Cooja simulator. Our systematic evaluation focuses on critical performance metrics, including Packet Delivery Ratio (PDR), Average End to End Delay (AE2ED), throughput, Expected Transmission Count (ETX), and Average Power Consumption… More >

  • Open Access

    ARTICLE

    A Reverse Path Planning Approach for Enhanced Performance of Multi-Degree-of-Freedom Industrial Manipulators

    Zhiwei Lin1, Hui Wang1,*, Tianding Chen1, Yingtao Jiang2, Jianmei Jiang3, Yingpin Chen1

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.2, pp. 1357-1379, 2024, DOI:10.32604/cmes.2023.045990

    Abstract In the domain of autonomous industrial manipulators, precise positioning and appropriate posture selection in path planning are pivotal for tasks involving obstacle avoidance, such as handling, heat sealing, and stacking. While Multi-Degree-of-Freedom (MDOF) manipulators offer kinematic redundancy, aiding in the derivation of optimal inverse kinematic solutions to meet position and posture requisites, their path planning entails intricate multi-objective optimization, encompassing path, posture, and joint motion optimization. Achieving satisfactory results in practical scenarios remains challenging. In response, this study introduces a novel Reverse Path Planning (RPP) methodology tailored for industrial manipulators. The approach commences by conceptualizing the manipulator’s end-effector as an… More > Graphic Abstract

    A Reverse Path Planning Approach for Enhanced Performance of Multi-Degree-of-Freedom Industrial Manipulators

  • Open Access

    ARTICLE

    Performance Prediction Based Workload Scheduling in Co-Located Cluster

    Dongyang Ou, Yongjian Ren, Congfeng Jiang*

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.2, pp. 2043-2067, 2024, DOI:10.32604/cmes.2023.029987

    Abstract Cloud service providers generally co-locate online services and batch jobs onto the same computer cluster, where the resources can be pooled in order to maximize data center resource utilization. Due to resource competition between batch jobs and online services, co-location frequently impairs the performance of online services. This study presents a quality of service (QoS) prediction-based scheduling model (QPSM) for co-located workloads. The performance prediction of QPSM consists of two parts: the prediction of an online service’s QoS anomaly based on XGBoost and the prediction of the completion time of an offline batch job based on random forest. On-line service… More >

  • Open Access

    ARTICLE

    A Performance Analysis of Machine Learning Techniques for Credit Card Fraud Detection

    Ayesha Aslam1, Adil Hussain2,*

    Journal on Artificial Intelligence, Vol.6, pp. 1-21, 2024, DOI:10.32604/jai.2024.047226

    Abstract With the increased accessibility of global trade information, transaction fraud has become a major worry in global banking and commerce security. The incidence and magnitude of transaction fraud are increasing daily, resulting in significant financial losses for both customers and financial professionals. With improvements in data mining and machine learning in computer science, the capacity to detect transaction fraud is becoming increasingly attainable. The primary goal of this research is to undertake a comparative examination of cutting-edge machine-learning algorithms developed to detect credit card fraud. The research looks at the efficacy of these machine learning algorithms using a publicly available… More >

  • Open Access

    ARTICLE

    Electro-Optical Model of Soiling Effects on Photovoltaic Panels and Performance Implications

    A. Asbayou1,*, G.P. Smestad2, I. Ismail1, A. Soussi1, A. Elfanaoui1, L. Bouhouch1, A. Ihlal1

    Energy Engineering, Vol.121, No.2, pp. 243-258, 2024, DOI:10.32604/ee.2024.046409

    Abstract In this paper, a detailed model of a photovoltaic (PV) panel is used to study the accumulation of dust on solar panels. The presence of dust diminishes the incident light intensity penetrating the panel’s cover glass, as it increases the reflection of light by particles. This phenomenon, commonly known as the “soiling effect”, presents a significant challenge to PV systems on a global scale. Two basic models of the equivalent circuits of a solar cell can be found, namely the single-diode model and the two-diode models. The limitation of efficiency data in manufacturers’ datasheets has encouraged us to develop an… More > Graphic Abstract

    Electro-Optical Model of Soiling Effects on Photovoltaic Panels and Performance Implications

  • Open Access

    ARTICLE

    Bond-Slip Behavior of Steel Bar and Recycled Steel Fibre-Reinforced Concrete

    Ismail Shah1,2, Jing Li1,3,4,*, Nauman Khan5, Hamad R. Almujibah6, Muhammad Mudassar Rehman2, Ali Raza7, Yun Peng3,4

    Journal of Renewable Materials, Vol.12, No.1, pp. 167-186, 2024, DOI:10.32604/jrm.2023.031503

    Abstract Recycled steel fiber reinforced concrete is an innovative construction material that offers exceptional mechanical properties and durability. It is considered a sustainable material due to its low carbon footprint and environmental friendly characteristics. This study examines the key influencing factors that affect the behavior of this material, such as the steel fiber volume ratio, recycled aggregate replacement rate, concrete strength grade, anchorage length, and stirrup constraint. The study investigates the bond failure morphology, bond-slip, and bond strength constitutive relationship of steel fiber recycled concrete. The results show that the addition of steel fibers at 0.5%, 1.0%, and 1.5% volume ratios… More >

  • Open Access

    PROCEEDINGS

    Heat Transfer Performance Improvement of Twisted Tubes with Different Starts by Combination of Dimples

    Tao Wang1, Zhen Tian1, Chen Gao1, Quanfu Gao1, Kewei Song1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.4, pp. 1-3, 2023, DOI:10.32604/icces.2023.8880

    Abstract With the rapid development of the economy and the increasing consumption of fossil energy, energysaving becomes imperative [1,2]. Improving the heat transfer efficiency of heat exchangers, which are widely applied in many fields, is important for energy utilization [3,4]. Twisted tube can produce secondary flow, increase turbulence and thin thermal boundary layer, and hence the enhancement of heat transfer [5-9]. However, the mixture of the fluid between the center of the twisted tube and the region around the tube is still not effectively improved. Thus, the heat transfer of the twisted tube can be further improved by combining with other… More >

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