Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (236)
  • Open Access


    Performance Improvement through Novel Adaptive Node and Container Aware Scheduler with Resource Availability Control in Hadoop YARN

    J. S. Manjaly, T. Subbulakshmi*

    Computer Systems Science and Engineering, Vol.47, No.3, pp. 3083-3108, 2023, DOI:10.32604/csse.2023.036320

    Abstract The default scheduler of Apache Hadoop demonstrates operational inefficiencies when connecting external sources and processing transformation jobs. This paper has proposed a novel scheduler for enhancement of the performance of the Hadoop Yet Another Resource Negotiator (YARN) scheduler, called the Adaptive Node and Container Aware Scheduler (ANACRAC), that aligns cluster resources to the demands of the applications in the real world. The approach performs to leverage the user-provided configurations as a unique design to apportion nodes, or containers within the nodes, to application thresholds. Additionally, it provides the flexibility to the applications for selecting and… More >

  • Open Access


    Analysis of the Flow Field and Impact Force in High-Pressure Water Descaling

    Yue Cui1,*, Liyuan Wang2, Jian Wu1, Haisheng Liu1, Di Wu1

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.1, pp. 165-177, 2024, DOI:10.32604/fdmp.2023.030311

    Abstract This study aims to improve the performances of the high-pressure water descaling technology used in steel hot rolling processes. In particular, a 2050 mm hot rolling line is considered, and the problem is investigated by means of a fluid–structure interaction (FSI) method by which the descaling effect produced by rolling coils with different section sizes is examined. Assuming a flat fan-shaped nozzle at the entrance of the R1R2 roughing mill, the out- flow field characteristics and the velocity distribution curve on the strike line (at a target distance of 30–120 mm) are determined. It is More >

  • Open Access


    The Effect of Lateral Offset Distance on the Aerodynamics and Fuel Economy of Vehicle Queues

    Lili Lei*, Ze Li, Haichao Zhou, Jing Wang, Wei Lin

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.1, pp. 147-163, 2024, DOI:10.32604/fdmp.2023.030158

    Abstract The vehicle industry is always in search of breakthrough energy-saving and emission-reduction technologies. In recent years, vehicle intelligence has progressed considerably, and researchers are currently trying to take advantage of these developments. Here we consider the case of many vehicles forming a queue, i.e., vehicles traveling at a predetermined speed and distance apart. While the majority of existing studies on this subject have focused on the influence of the longitudinal vehicle spacing, vehicle speed, and the number of vehicles on aerodynamic drag and fuel economy, this study considers the lateral offset distance of the vehicle More >

  • Open Access


    In-Situ Growing of Branched CNFs on Reusable RCFs to Construct Hierarchical Cross-Linked Composite for Enhanced Microwave Absorption

    Lei Liu*, Shenao Pang, Zhuhui Luo

    Journal of Renewable Materials, Vol.11, No.11, pp. 3891-3906, 2023, DOI:10.32604/jrm.2023.028192

    Abstract The recycling of carbon fibers and protection from unwanted microwave radiation are two important environmental issues that need to be addressed in modern society. Herein, branched carbon nanofibers (CNFs) were grown in-situ on recycled carbon fibers (RCFs) through the chemical vapor deposition method using nickel as catalysts and thiophene as aided-catalysts. The effect of thiophene on the growth morphology of CNFs was investigated. Correspondingly, branched CNFs-RCFs and straight CNFs-RCFs were respectively obtained in the presence and absence of thiophene. The microstructure and electromagnetic behaviour investigations have shown that the branched CNFs possess a typical multi-branched structure, More > Graphic Abstract

    <i>In-Situ</i> Growing of Branched CNFs on Reusable RCFs to Construct Hierarchical Cross-Linked Composite for Enhanced Microwave Absorption

  • Open Access


    Simulation of Offshore Wind Turbine Blade Docking Based on the Stewart Platform

    Yi Zhang*, Jiamin Guo, Huanghua Peng

    Energy Engineering, Vol.120, No.11, pp. 2489-2502, 2023, DOI:10.32604/ee.2023.029496

    Abstract The windy environment is the main cause affecting the efficiency of offshore wind turbine installation. In order to improve the stability and efficiency of single-blade installation of offshore wind turbines under high wind speed conditions, the Stewart platform is used as an auxiliary tool to help dock the wind turbine blade in this paper. In order to verify the effectiveness of the Stewart platform for blade docking, a blade docking simulation system consisting of the Stewart platform, wind turbine blade, and wind load calculation module was built based on Simulink/Simscape Multibody. At the same time, More >

  • Open Access


    Recherche interventionnelle et dispositifs de soutien aux personnes touchées par un cancer et leur entourage : résultats d’une analyse descriptive

    Anne-Fleur Guillemin, Iris Cervenka, Jérôme Foucaud*

    Psycho-Oncologie, Vol.17, No.3, pp. 113-121, 2023, DOI:10.32604/po.2023.045035

    Abstract La recherche interventionnelle en santé des populations (RISP) a été initiée en prévention primaire, en proposant un paradigme de recherche centré sur l’intervention et les solutions aux questions de santé. L’intervention se co-construit avec les parties prenantes dans une approche globale jusqu’à son déploiement sur les territoires. Face au développement de la RISP, se pose la question de son application à la prévention tertiaire. L’objectif de cette étude est de proposer—à partir d’une analyse descriptive des projets financés en RISP par l’Institut national du cancer (INCa) sur les dispositifs de soutien auprès des personnes touchées… More >

  • Open Access


    Numerical Simulation of Non-Gaussian Winds and Application on Floating Offshore Wind Turbines

    Shu Dai1,*, Bert Sweetman2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.09687

    Abstract Short-term wind process is normally assumed to be a Gaussian distribution, such as TurbSim, the widely used 3D wind field tool. Nowadays, newest researches indicate that non-Gaussian wind model is believed to be more accurate according to the field observation data. A new numerical method is proposed to generate non-Gaussian wind filed using translation process theory and spectral representation method. This study presents a comprehensive investigation on power production and blades fatigue damage of floating offshore wind turbines (FOWTs) to the non-Gaussian wind field. The comparisons of Gaussian and non-Gaussian simulation results indicate that the More >

  • Open Access


    A Novel Attack on Complex APUFs Using the Evolutionary Deep Convolutional Neural Network

    Ali Ahmadi Shahrakht1, Parisa Hajirahimi2, Omid Rostami3, Diego Martín4,*

    Intelligent Automation & Soft Computing, Vol.37, No.3, pp. 3059-3081, 2023, DOI:10.32604/iasc.2023.040502

    Abstract As the internet of things (IoT) continues to expand rapidly, the significance of its security concerns has grown in recent years. To address these concerns, physical unclonable functions (PUFs) have emerged as valuable tools for enhancing IoT security. PUFs leverage the inherent randomness found in the embedded hardware of IoT devices. However, it has been shown that some PUFs can be modeled by attackers using machine-learning-based approaches. In this paper, a new deep learning (DL)-based modeling attack is introduced to break the resistance of complex XAPUFs. Because training DL models is a problem that falls… More >

  • Open Access


    Characterization of Mechanical Properties of CNFs and the Assembled Microfibers Through a Multi-scale Optimization-Based Inversion Method

    Shuaijun Wang1, Wenqiong Tu1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.09926

    Abstract Cellulose nanofibrils (CNFs) and the continuously assembled microfibers have shown transversely isotropic behavior in many studies. Due to fact that the size of CNFs and the assembled microfibers is at the nano and micro scale, respectively, the characterization of their mechanical properties is extremely challenge. That greatly hinders the accurate multi-scale modeling and design of CNFs-based materials. In our study, we have characterized the elastic constants of both CNFs microfibers and CNFs through a Multi-scale Optimization Inversion technology. Through the tensile test of CNFs microfibers reinforced resin with different volume fractions and the micromechanics model More >

  • Open Access


    Topological Design of Negative Poisson’s Ratio Material Microstructure Under Large Deformation with a Gradient-Free Method

    Pai Liu1,*, Weida Wu1, Yangjun Luo1, Yifan Zhang1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.09893

    Abstract Lightweight metamaterials with negative Poisson’s ratios (NPRs) have great potential for controlling deformation, absorbing energy, etc. The topology optimization [1] technique is an effective way to design metamaterials. However, as studied in [2], the NPR metamaterial configuration obtained under small deformation assumption may not maintain the desired Poisson’s ratio under relatively large deformation conditions. This paper focuses on the large-deformation NPR metamaterial design based on a gradient-free topology optimization method, i.e. the material-field series expansion (MFSE) method [3]. The metamaterial’s performance is evaluated using the finite element method, taking into account the geometry nonlinearity. By… More >

Displaying 21-30 on page 3 of 236. Per Page