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  • Open Access

    ARTICLE

    Simple and High-Yield Synthesis of a Thinner Layer of Graphenic Carbon from Coconut Shells

    Retno Asih1,*, Haniffudin Nurdiansah2, Mochamad Zainuri1, Deni S. Khaerudini3,4, Angelinus T. Setiawan4, A. Y. Dias4, Pudji Untoro4,5, Ahmad Sholih1, Darminto1,*

    Journal of Renewable Materials, Vol.12, No.5, pp. 969-979, 2024, DOI:10.32604/jrm.2024.049097

    Abstract Biomass has become of recent interest as a raw material for ‘green’ graphenic carbon (GC) since it promotes an environmentally friendly approach. Here, we investigate a single pyrolysis route to synthesize GC from coconut shells which provides a simple method and can produce a high yield, thus being convenient for large-scale production. The pyrolysis involves a stepped holding process at 350°C for 1 h and at 650°C or 900°C for 3 h. The GC sample resulted at the 900°C pyrolysis has a thinner sheet, a less porous structure, a higher C/O ratio, and an enhanced More > Graphic Abstract

    Simple and High-Yield Synthesis of a Thinner Layer of Graphenic Carbon from Coconut Shells

  • Open Access

    ARTICLE

    CoopAI-Route: DRL Empowered Multi-Agent Cooperative System for Efficient QoS-Aware Routing for Network Slicing in Multi-Domain SDN

    Meignanamoorthi Dhandapani*, V. Vetriselvi, R. Aishwarya

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.3, pp. 2449-2486, 2024, DOI:10.32604/cmes.2024.050986

    Abstract The emergence of beyond 5G networks has the potential for seamless and intelligent connectivity on a global scale. Network slicing is crucial in delivering services for different, demanding vertical applications in this context. Next-generation applications have time-sensitive requirements and depend on the most efficient routing path to ensure packets reach their intended destinations. However, the existing IP (Internet Protocol) over a multi-domain network faces challenges in enforcing network slicing due to minimal collaboration and information sharing among network operators. Conventional inter-domain routing methods, like Border Gateway Protocol (BGP), cannot make routing decisions based on performance,… More >

  • Open Access

    ARTICLE

    QoS Routing Optimization Based on Deep Reinforcement Learning in SDN

    Yu Song1, Xusheng Qian2, Nan Zhang3, Wei Wang2, Ao Xiong1,*

    CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 3007-3021, 2024, DOI:10.32604/cmc.2024.051217

    Abstract To enhance the efficiency and expediency of issuing e-licenses within the power sector, we must confront the challenge of managing the surging demand for data traffic. Within this realm, the network imposes stringent Quality of Service (QoS) requirements, revealing the inadequacies of traditional routing allocation mechanisms in accommodating such extensive data flows. In response to the imperative of handling a substantial influx of data requests promptly and alleviating the constraints of existing technologies and network congestion, we present an architecture for QoS routing optimization with in Software Defined Network (SDN), leveraging deep reinforcement learning. This… More >

  • Open Access

    ARTICLE

    Securing Forwarding Layers from Eavesdropping Attacks Using Proactive Approaches

    Jiajun Yan, Ying Zhou*, Anchen Dai, Tao Wang

    CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 563-580, 2024, DOI:10.32604/cmc.2024.048922

    Abstract As an emerging network paradigm, the software-defined network (SDN) finds extensive application in areas such as smart grids, the Internet of Things (IoT), and edge computing. The forwarding layer in software-defined networks is susceptible to eavesdropping attacks. Route hopping is a moving target defense (MTD) technology that is frequently employed to resist eavesdropping attacks. In the traditional route hopping technology, both request and reply packets use the same hopping path. If an eavesdropping attacker monitors the nodes along this path, the risk of 100% data leakage becomes substantial. In this paper, we present an effective… More >

  • Open Access

    ARTICLE

    Efficient Route Planning for Real-Time Demand-Responsive Transit

    Hongle Li1, SeongKi Kim2,*

    CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 473-492, 2024, DOI:10.32604/cmc.2024.048402

    Abstract Demand Responsive Transit (DRT) responds to the dynamic users’ requests without any fixed routes and timetables and determines the stop and the start according to the demands. This study explores the optimization of dynamic vehicle scheduling and real-time route planning in urban public transportation systems, with a focus on bus services. It addresses the limitations of current shared mobility routing algorithms, which are primarily designed for simpler, single origin/destination scenarios, and do not meet the complex demands of bus transit systems. The research introduces an route planning algorithm designed to dynamically accommodate passenger travel needs… More >

  • Open Access

    ARTICLE

    Carrageenan Fiber Prepared by a New Process Route of Ba2+ Ion Pre-Crosslinking in the Spinning Solution

    Liting Jia1, Xiao Han1, Cuixia Qiao2, Gang Zhao2, Yanzhi Xia1, Zhixin Xue1,*

    Journal of Renewable Materials, Vol.12, No.3, pp. 427-441, 2024, DOI:10.32604/jrm.2023.044310

    Abstract Ba2+ pre-crosslinked carrageenan fiber (Ba/CAF) was prepared by adding a small amount of Ba2+ to the carrageenan (CA) solution as the spinning solution. Ba/CAF-n/A, Ba/CAF-n/B and Ba/CAF-n/C were prepared with ethanol solution (combine A), high concentration BaCl2 solution (combine B) and low concentration BaCl2 solution (combine C), as coagulation bath and stretch bath, respectively. The combination of coagulation bath and stretch bath suitable for Ba2+ pre-crosslinking wet spinning was screened. The results showed that Ba2+ can induce the birefringence of the CA molecular chain, and the Ba2+ pre-crosslinking effect is the best when the CA mass fraction is 8.0 More > Graphic Abstract

    Carrageenan Fiber Prepared by a New Process Route of Ba<sup>2+</sup> Ion Pre-Crosslinking in the Spinning Solution

  • Open Access

    ARTICLE

    Research on Sleeve Grouting Density Detection Based on the Impact Echo Method

    Pu Zhang1, Yingjun Li1, Xinyu Zhu1, Shizhan Xu1, Pinwu Guan1,*, Wei Liu2, Yanwei Guo2, Haibo Wang2

    Structural Durability & Health Monitoring, Vol.18, No.2, pp. 143-159, 2024, DOI:10.32604/sdhm.2024.046986

    Abstract Grouting defects are an inherent challenge in construction practices, exerting a considerable impact on the operational structural integrity of connections. This investigation employed the impact-echo technique for the detection of grouting anomalies within connections, enhancing its precision through the integration of wavelet packet energy principles for damage identification purposes. A series of grouting completeness assessments were meticulously conducted, taking into account variables such as the divergent material properties of the sleeves and the configuration of adjacent reinforcement. The findings revealed that: (i) the energy distribution for the high-strength concrete cohort predominantly occupied the frequency bands More >

  • Open Access

    ARTICLE

    A Fully Adaptive Active Queue Management Method for Congestion Prevention at the Router Buffer

    Ali Alshahrani1, Ahmad Adel Abu-Shareha2,*, Qusai Y. Shambour2, Basil Al-Kasasbeh1

    CMC-Computers, Materials & Continua, Vol.77, No.2, pp. 1679-1698, 2023, DOI:10.32604/cmc.2023.043545

    Abstract Active queue management (AQM) methods manage the queued packets at the router buffer, prevent buffer congestion, and stabilize the network performance. The bursty nature of the traffic passing by the network routers and the slake behavior of the existing AQM methods leads to unnecessary packet dropping. This paper proposes a fully adaptive active queue management (AAQM) method to maintain stable network performance, avoid congestion and packet loss, and eliminate unnecessary packet dropping. The proposed AAQM method is based on load and queue length indicators and uses an adaptive mechanism to adjust the dropping probability based… More >

  • Open Access

    ARTICLE

    Numerical Simulation of Turbulent Diffusion Flames of a Biogas Enriched with Hydrogen

    Naima Krarraz1,*, Amina Sabeur1, Khadidja Safer2, Ahmed Ouadha1

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.1, pp. 79-96, 2024, DOI:10.32604/fdmp.2023.026238

    Abstract Any biogas produced by the anaerobic fermentation of organic materials has the advantage of being an environmentally friendly biofuel. Nevertheless, the relatively low calorific value of such gases makes their effective utilization in practical applications relatively difficult. The present study considers the addition of hydrogen as a potential solution to mitigate this issue. In particular, the properties of turbulent diffusion jet flames and the related pollutant emissions are investigated numerically for different operating pressures. The related numerical simulations are conducted by solving the RANS equations in the frame of the Reynolds Stress Model in combination More > Graphic Abstract

    Numerical Simulation of Turbulent Diffusion Flames of a Biogas Enriched with Hydrogen

  • Open Access

    ARTICLE

    T_GRASP: Optimization Algorithm of Ship Avoiding Typhoon Route

    Yingxian Huang, Xueyan Ding, Yanan Zhang, Leiming Yan*

    Journal of Quantum Computing, Vol.4, No.2, pp. 85-95, 2022, DOI:10.32604/jqc.2022.031436

    Abstract A GRASP-based algorithm called T_GRASP for avoiding typhoon route optimization is suggested to increase the security and effectiveness of ship navigation. One of the worst natural calamities that can disrupt a ship’s navigation and result in numerous safety mishaps is a typhoon. Currently, the captains manually review the collected weather data and steer clear of typhoons using their navigational expertise. The distribution of heavy winds and waves produced by the typhoon also changes dynamically as a result of the surrounding large-scale air pressure distribution, which significantly enhances the challenge of the captain’s preparation for avoiding… More >

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