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  • Open Access

    ARTICLE

    Comparative Study of Valency-Based Topological Descriptor for Hexagon Star Network

    Ali N. A. Koam1, Ali Ahmad2,*, M. F. Nadeem3

    Computer Systems Science and Engineering, Vol.36, No.2, pp. 293-306, 2021, DOI:10.32604/csse.2021.014896 - 05 January 2021

    Abstract A class of graph invariants referred to today as topological indices are inefficient progressively acknowledged by scientific experts and others to be integral assets in the depiction of structural phenomena. The structure of an interconnection network can be represented by a graph. In the network, vertices represent the processor nodes and edges represent the links between the processor nodes. Graph invariants play a vital feature in graph theory and distinguish the structural properties of graphs and networks. A topological descriptor is a numerical total related to a structure that portray the topology of structure and… More >

  • Open Access

    ARTICLE

    COMPARISON OF BOG TREATMENT TECHNOLOGY IN LNG STATION WITHOUT LNG OUTPUT

    Rongge Xiaoa,* , Zheng Daia, Yue Zhub , Leyuan Suna , Hao Lia , Haiwei Linc

    Frontiers in Heat and Mass Transfer, Vol.14, pp. 1-5, 2020, DOI:10.5098/hmt.14.2

    Abstract In order to select economical and reasonable Boil-off gas (BOG) treatment technology for different types of liquefied natural gas (LNG) stations, this paper introduces the related technologies of BOG treatment without LNG Output. Using the same working fluid and operating parameters to simulate then the six technologies of pulse tube cryocooler recovery, liquid nitrogen recovery, nitrogen expansion recovery, jet refrigeration recovery, mixed refrigerant refrigeration recovery, and direct compression process were compared in terms of power consumption, economy. On the basis of comparative analysis of power consumption, the actual usage of the above process, and with More >

  • Open Access

    ARTICLE

    Investigation of Core Loss Calculation Methods for Nanocrystalline Core in Medium Frequency Range

    Yunxiang Guo1, Cheng Lu1,2, Feng Yu1, Liang Hua1, Xinsong Zhang1,*

    Energy Engineering, Vol.117, No.6, pp. 429-438, 2020, DOI:10.32604/EE.2020.011673 - 16 October 2020

    Abstract Nanocrystalline core is often adopted in high-power medium-frequency transformer, whose excitation voltage is usually a rectangular wave with an adjustable duty ratio. In this paper, several kinds of methods are proposed for core loss calculation under non-sinusoidal voltage excitation by modifying the original Steinmetz equation (OSE). Firstly, these correction methods are compared in theory, and their analytical equations under rectangular voltage with an adjustable duty ratio are deduced. Then, a hysteresis loop measurement system is established to measure the core loss density of a nanocrystalline core. Based on the measured results of the core loss More >

  • Open Access

    ARTICLE

    Comparative Study on Tool Fault Diagnosis Methods Using Vibration Signals and Cutting Force Signals by Machine Learning Technique

    Suhas S. Aralikatti1, K. N. Ravikumar1, Hemantha Kumar1,*, H. Shivananda Nayaka1, V. Sugumaran2

    Structural Durability & Health Monitoring, Vol.14, No.2, pp. 127-145, 2020, DOI:10.32604/sdhm.2020.07595 - 23 June 2020

    Abstract The state of cutting tool determines the quality of surface produced on the machined parts. A faulty tool produces poor surface, inaccurate geometry and non-economic production. Thus, it is necessary to monitor tool condition for a machining process to have superior quality and economic production. In the present study, fault classification of single point cutting tool for hard turning has been carried out by employing machine learning technique. Cutting force and vibration signals were acquired to monitor tool condition during machining. A set of four tooling conditions namely healthy, worn flank, broken insert and extended… More >

  • Open Access

    ARTICLE

    Exact Solution of Non-Newtonian Blood Flow with Nanoparticles through Porous Arteries: A Comparative Study

    Wafaa Alharbi1, Abdulrahman Aljohani1, Essam El-Zahar2, 3, *, Abdelhalim Ebaid1

    CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1143-1157, 2020, DOI:10.32604/cmc.2020.08875 - 30 April 2020

    Abstract In this paper, the mathematical model describing the third-grade nonNewtonian blood flow suspended with nanoparticles through porous arteries is exactly solved. The present physical model was solved in the research literature via the optimal homotopy analysis method and the collocation method, where the obtained solution was compared with the numerical fourth-order Runge-Kutta solution. However, the present paper only introduces a new approach to obtain the exact solution of the concerned system and implements such exact solution as a reference to validate the published approximate solutions. Several remarks on the previously published results are observed and… More >

  • Open Access

    ARTICLE

    Comparative Study on Tree Classifiers for Application to Condition Monitoring of Wind Turbine Blade through Histogram Features Using Vibration Signals: A Data-Mining Approach

    A. Joshuva1,*, V. Sugumaran2

    Structural Durability & Health Monitoring, Vol.13, No.4, pp. 399-416, 2019, DOI:10.32604/sdhm.2019.03014

    Abstract Wind energy is considered as a alternative renewable energy source due to its low operating cost when compared with other sources. The wind turbine is an essential system used to change kinetic energy into electrical energy. Wind turbine blades, in particular, require a competitive condition inspection approach as it is a significant component of the wind turbine system that costs around 20-25 percent of the total turbine cost. The main objective of this study is to differentiate between various blade faults which affect the wind turbine blade under operating conditions using a machine learning approach… More >

  • Open Access

    ARTICLE

    Comparative Study of the Propagation of Jet Noise in Static and Flow Environments

    Wen Zhao, Dongxing Mao*, Zaixiu Jiang

    Sound & Vibration, Vol.53, No.1, pp. 37-46, 2019, DOI:10.32604/sv.2019.04368

    Abstract In order to analyze the effect of the background flow on the sound prediction of fine-scale turbulence noise, the sound spectra from static and flow environments are compared. It turns out that, the two methods can obtain similar predictions not only at 90 deg to the jet axis but also at mid- and high frequencies in other directions. The discrepancies of predictions from the two environments show that the effect of the jet flow on the sound propagation is related to low frequencies in the downstream and upstream directions. It is noted that there is More >

  • Open Access

    ABSTRACT

    Comparative Study on Dry Reforming of Methane Over Co-M (M=Ce, Fe, Zr) Catalysts Supported on N-Doped Activated Carbon

    Yinghui Sun1, Guojie Zhang1,2,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.1, pp. 105-105, 2019, DOI:10.32604/icces.2019.05173

    Abstract A series of Co-M (M = Ce, Fe, Zr) binary oxides supported on N-doped catalysts were prepared by impregnation methods and tested for DRM reaction. Moreover, the influence of Co and Ce atomic contents in the catalysts on DRM performance was investigated. Significant enhancement of activity performance over Ce promoted 3Co-1Ce/AC-N catalyst was observed. Compared with Fe and Zr, the catalyst with 1/4 mol% of Ce showed the highest activity and was higher than the supported Co catalyst. The calcined and spent catalysts were characterized by XPS, H2-TPR, TEM and EDX mapping studies. The characterization results… More >

  • Open Access

    ARTICLE

    A Comparative Study of Machine Learning Methods for Genre Identification of Classical Arabic Text

    Maha Al-Yahya1, *

    CMC-Computers, Materials & Continua, Vol.60, No.2, pp. 421-433, 2019, DOI:10.32604/cmc.2019.06209

    Abstract The purpose of this study is to evaluate the performance of five supervised machine learning methods for the task of automated genre identification of classical Arabic texts using text most frequent words as features. We design an experiment for comparing five machine-learning methods for the genre identification task for classical Arabic text. We set the data and the stylometric features and vary the classification method to evaluate the performance of each method. Of the five machine learning methods tested, we can conclude that Support Vector Machine (SVM) are generally the most effective. The contribution of More >

  • Open Access

    ARTICLE

    Comparative Study of Prey Predator Algorithm and Firefly Algorithm

    Hong Choon Onga, Surafel Luleseged Tilahunb, Wai Soon Leea, Jean Meadard T. Ngnotchouyeb

    Intelligent Automation & Soft Computing, Vol.24, No.2, pp. 359-366, 2018, DOI:10.1080/10798587.2017.1294811

    Abstract Metaheuristic algorithms are found to be promising for difficult and high dimensional problems. Most of these algorithms are inspired by different natural phenomena. Currently, there are hundreds of these metaheuristic algorithms introduced and used. The introduction of new algorithm has been one of the issues researchers focused in the past fifteen years. However, there is a critic that some of the new algorithms are not in fact new in terms of their search behavior. Hence, a comparative study in between existing algorithms to highlight their differences and similarity needs to be studied. Apart from knowing… More >

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