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  • Open Access

    ARTICLE

    Fuzzy Adaptive Filtering-Based Energy Management for Hybrid Energy Storage System

    Xizheng Zhang1,2,*, Zhangyu Lu1, Chongzhuo Tan1, Zeyu Wang1

    Computer Systems Science and Engineering, Vol.36, No.1, pp. 117-130, 2021, DOI:10.32604/csse.2021.014081 - 23 December 2020

    Abstract Regarding the problem of the short driving distance of pure electric vehicles, a battery, super-capacitor, and DC/DC converter are combined to form a hybrid energy storage system (HESS). A fuzzy adaptive filtering-based energy management strategy (FAFBEMS) is proposed to allocate the required power of the vehicle. Firstly, the state of charge (SOC) of the super-capacitor is limited according to the driving/braking mode of the vehicle to ensure that it is in a suitable working state, and fuzzy rules are designed to adaptively adjust the filtering time constant, to realize reasonable power allocation. Then, the positive… More >

  • Open Access

    ARTICLE

    Hybrid Security Assessment Methodology for Web Applications

    Roddy A. Correa1, Juan Ramón Bermejo Higuera2, Javier Bermejo Higuera2, Juan Antonio Sicilia Montalvo2, Manuel Sánchez Rubio2, Á. Alberto Magreñán3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.126, No.1, pp. 89-124, 2021, DOI:10.32604/cmes.2021.010700 - 22 December 2020

    Abstract This study presents a methodology to evaluate and prevent security vulnerabilities issues for web applications. The analysis process is based on the use of techniques and tools that allow to perform security assessments of white box and black box, to carry out the security validation of a web application in an agile and precise way. The objective of the methodology is to take advantage of the synergies of semi-automatic static and dynamic security analysis tools and manual checks. Each one of the phases contemplated in the methodology is supported by security analysis tools of different… More >

  • Open Access

    ARTICLE

    The Effects of Stacking Sequence on Dynamic Mechanical Properties and Thermal Degradation of Kenaf/Jute Hybrid Composites

    Tabrej Khan1, Mohamed Thariq Hameed Sultan1,2,3,*, Mohammad Jawaid2, Syafiqah Nur Azrie Safri2, Ain Umaira Md Shah2, Mohd Shukry Abdul Majid4,5,*, Nik Noriman Zulkepli6, Haliza Jaya6

    Journal of Renewable Materials, Vol.9, No.1, pp. 73-84, 2021, DOI:10.32604/jrm.2021.011385 - 30 November 2020

    Abstract This research focused on the dynamic mechanical and thermal properties of woven mat jute/kenaf/jute (J/K/J) and kenaf/jute/kenaf (K/J/K) hybrid composites. Dynamic mechanical analysis (DMA) and Thermo-gravimetric Analysis (TGA) were used to study the effect of layering sequence on the thermal properties of kenaf/jute hybrid composites. The DMA results; it was found that the differences in the stacking sequence between the kenaf/jute composites do not affect their storage modulus, loss modulus and damping factor. From the TGA and DMA results, it has been shown that stacking sequence has given positive effect to the kenaf/jute hybrid composite… More >

  • Open Access

    ARTICLE

    Hybrid Metamodel—NSGA-III—EDAS Based Optimal Design of Thin Film Coatings

    Kamlendra Vikram1, Uvaraja Ragavendran2, Kanak Kalita1,*, Ranjan Kumar Ghadai3, Xiao-Zhi Gao4

    CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1771-1784, 2021, DOI:10.32604/cmc.2020.013946 - 26 November 2020

    Abstract In this work, diamond-like carbon (DLC) thin film coatings are deposited on silicon substrates by using plasma-enhanced chemical vapour deposition (PECVD) technique. By varying the hydrogen (H2) flow rate, CH4−Argon (Ar) flow rate and deposition temperature (Td) as per a Box-Behnken experimental design (BBD), 15 DLC deposition experiments are carried out. The Young’s modulus (E) and the coefficient of friction (COF) for the DLCs are measured. By using a second-order polynomial regression approach, two metamodels are built for E and COF, that establish them as functions of H2 flow rate, CH4-Ar flow rate and Td. A non-dominated sorting More >

  • Open Access

    ARTICLE

    A New Database Intrusion Detection Approach Based on Hybrid Meta-Heuristics

    Youseef Alotaibi*

    CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1879-1895, 2021, DOI:10.32604/cmc.2020.013739 - 26 November 2020

    Abstract A new secured database management system architecture using intrusion detection systems (IDS) is proposed in this paper for organizations with no previous role mapping for users. A simple representation of Structured Query Language queries is proposed to easily permit the use of the worked clustering algorithm. A new clustering algorithm that uses a tube search with adaptive memory is applied to database log files to create users’ profiles. Then, queries issued for each user are checked against the related user profile using a classifier to determine whether or not each query is malicious. The IDS… More >

  • Open Access

    ARTICLE

    Swarm-LSTM: Condition Monitoring of Gearbox Fault Diagnosis Based on Hybrid LSTM Deep Neural Network Optimized by Swarm Intelligence Algorithms

    Gopi Krishna Durbhaka1, Barani Selvaraj1, Mamta Mittal2, Tanzila Saba3,*, Amjad Rehman3, Lalit Mohan Goyal4

    CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 2041-2059, 2021, DOI:10.32604/cmc.2020.013131 - 26 November 2020

    Abstract Nowadays, renewable energy has been emerging as the major source of energy and is driven by its aggressive expansion and falling costs. Most of the renewable energy sources involve turbines and their operation and maintenance are vital and a difficult task. Condition monitoring and fault diagnosis have seen remarkable and revolutionary up-gradation in approaches, practices and technology during the last decade. Turbines mostly do use a rotating type of machinery and analysis of those signals has been challenging to localize the defect. This paper proposes a new hybrid model wherein multiple swarm intelligence models have More >

  • Open Access

    ARTICLE

    Darcy-Forchheimer Hybrid Nano Fluid Flow with Mixed Convection Past an Inclined Cylinder

    M. Bilal1, Imran Khan1, Taza Gul1,*, Asifa Tassaddiq2, Wajdi Alghamdi3, Safyan Mukhtar4, Poom Kumam5

    CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 2025-2039, 2021, DOI:10.32604/cmc.2020.012677 - 26 November 2020

    Abstract This article aims to investigate the Darcy Forchhemier mixed convection flow of the hybrid nanofluid through an inclined extending cylinder. Two different nanoparticles such as carbon nanotubes (CNTs) and iron oxide Fe3O4 have been added to the base fluid in order to prepare a hybrid nanofluid. Nonlinear partial differential equations for momentum, energy and convective diffusion have been changed into dimensionless ordinary differential equations after using Von Karman approach. Homotopy analysis method (HAM), a powerful analytical approach has been used to find the solution to the given problem. The effects of the physical constraints on velocity, More >

  • Open Access

    ARTICLE

    A Hybrid Deep Learning Model for COVID-19 Prediction and Current Status of Clinical Trials Worldwide

    Shwet Ketu*, Pramod Kumar Mishra

    CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1896-1919, 2021, DOI:10.32604/cmc.2020.012423 - 26 November 2020

    Abstract Infections or virus-based diseases are a significant threat to human societies and could affect the whole world within a very short time-span. Corona Virus Disease-2019 (COVID-19), also known as novel coronavirus or SARS-CoV-2 (Severe Acute Respiratory Syndrome-Coronavirus-2), is a respiratory based touch contiguous disease. The catastrophic situation resulting from the COVID-19 pandemic posed a serious threat to societies globally. The whole world is making tremendous efforts to combat this life-threatening disease. For taking remedial action and planning preventive measures on time, there is an urgent need for efficient prediction models to confront the COVID-19 outbreak.… More >

  • Open Access

    ARTICLE

    Temporal Stability Analysis of Magnetized Hybrid Nanofluid Propagating through an Unsteady Shrinking Sheet: Partial Slip Conditions

    Liaquat Ali Lund1,2, Zurni Omar1, Sumera Dero1,3, Yuming Chu4,5, Ilyas Khan6,*, Kottakkaran Sooppy Nisar7

    CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1963-1975, 2021, DOI:10.32604/cmc.2020.011976 - 26 November 2020

    Abstract The unsteady magnetohydrodynamic (MHD) flow on a horizontal preamble surface with hybrid nanoparticles in the presence of the first order velocity and thermal slip conditions are investigated. Alumina (Al2O3) and copper (Cu) are considered as hybrid nanoparticles that have been dispersed in water in order to make hybrid nanofluid (Cu − Al2O3/water). The system of similarity equations is derived from the system of partial differential equations (PDEs) by using variables of similarity, and their solutions are gotten with shooting method in the Maple software. In certain ranges of unsteadiness and magnetic parameters, the presence of dual solutions More >

  • Open Access

    ARTICLE

    Analysis of Solar Direct-Driven Organic Rankine Cycle Powered Vapor Compression Cooling System Combined with Electric Motor for Office Building Air-Conditioning

    Xiang Xiao1, Wei Zhao1, Wei Wang1, Wei Zhang1, Xianbiao Bu2, Lingbao Wang2,*, Huashan Li2

    Energy Engineering, Vol.118, No.1, pp. 89-101, 2021, DOI:10.32604/EE.2020.014016 - 17 November 2020

    Abstract Solar energy powered organic Rankine cycle vapor compression cycle (ORC-VCC) is a good alternative to convert solar heat into a cooling effect. In this study, an ORC-VCC system driven by solar energy combined with electric motor is proposed to ensure smooth operation under the conditions that solar radiation is unstable and discontinuous, and an office building located in Guangzhou, China is selected as a case study. The results show that beam solar radiation and generation temperature have considerable effects on the system performance. There is an optimal generation temperature at which the system achieves optimum More >

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