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  • Open Access

    ARTICLE

    Evaluation of Small Wind Turbine Blades with Uni-Vinyl Foam Alignments Using Static Structural Analysis

    Ajay Veludurthi1, Venkateshwarlu Bolleddu2,*

    Energy Engineering, Vol.117, No.4, pp. 237-248, 2020, DOI:10.32604/EE.2020.011304 - 31 July 2020

    Abstract Mechanical characteristics of small wind turbine blades of National Advisory Committee for Aeronautics (NACA) 63-415 series with different Univinyl (UV) foam alignments have been evaluated experimentally using Universal Testing Machine and numerically using Finite Element Analysis (FEA) software ANSYS. The wind turbine blade models considered are selected from the NACA 63415 series to give a power output of 1 kW. The blades in this study are made like a sandwich beam structure. The outermost portion of the blade is made of glass fiber reinforced plastics with epoxy resin as composite and Uni-vinyl foam alignments are… More >

  • Open Access

    ARTICLE

    Comprehensive Information Security Evaluation Model Based on Multi-Level Decomposition Feedback for IoT

    Jinxin Zuo1, 3, Yueming Lu1, 3, *, Hui Gao2, 3, Ruohan Cao2, 3, Ziyv Guo2, 3, Jim Feng4

    CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 683-704, 2020, DOI:10.32604/cmc.2020.010793 - 23 July 2020

    Abstract The development of the Internet of Things (IoT) calls for a comprehensive information security evaluation framework to quantitatively measure the safety score and risk (S&R) value of the network urgently. In this paper, we summarize the architecture and vulnerability in IoT and propose a comprehensive information security evaluation model based on multi-level decomposition feedback. The evaluation model provides an idea for information security evaluation of IoT and guides the security decision maker for dynamic protection. Firstly, we establish an overall evaluation indicator system that includes four primary indicators of threat information, asset, vulnerability, and management,… More >

  • Open Access

    ARTICLE

    Enhancing Embedding-Based Chinese Word Similarity Evaluation with Concepts and Synonyms Knowledge

    Fulian Yin, Yanyan Wang, Jianbo Liu*, Meiqi Ji

    CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.2, pp. 747-764, 2020, DOI:10.32604/cmes.2020.010579 - 20 July 2020

    Abstract Word similarity (WS) is a fundamental and critical task in natural language processing. Existing approaches to WS are mainly to calculate the similarity or relatedness of word pairs based on word embedding obtained by massive and high-quality corpus. However, it may suffer from poor performance for insuf- ficient corpus in some specific fields, and cannot capture rich semantic and sentimental information. To address these above problems, we propose an enhancing embedding-based word similarity evaluation with character-word concepts and synonyms knowledge, namely EWS-CS model, which can provide extra semantic information to enhance word similarity evaluation. The More >

  • Open Access

    ARTICLE

    D-Transposition of the Great Arteries after Arterial Switch Operation: Usefulness of 3D-Echocardiography for Left Ventricle Function Evaluation

    Ylenia Bartolacelli*, Giulia Bragantini

    Congenital Heart Disease, Vol.15, No.2, pp. 59-68, 2020, DOI:10.32604/CHD.2020.011448 - 23 June 2020

    Abstract Objective: The objective of this study was to assess left ventricle (LV) function and remodeling by three-dimensional echocardiography (3DE) in patients who underwent arterial switch procedure (ASO) for transposition of great arteries (TGA) in long-term follow-up. Methods and Results: We studied 54 asymptomatic patients (39 male) who have undergone single-stage ASO for TGA, aged 13.7 ± 4.7 years, with a normal LV ejection fraction (EF), compared to healthy peers. We evaluated LV volume and function in asymptomatic patients with normal ejection fraction by 3DE. All patients had normal EF, measured by modified Simpson’s method (mean 60.9 ±… More >

  • Open Access

    ARTICLE

    Improvement of UAV Based an Evaluation Approach to Mid-High Rise Buildings’ Exterior Walls

    Nai-Hsin Pan1, Ching-Hsiang Tsai2, Kuei-Yen Chen1, Shiaofang Sung3,*

    Structural Durability & Health Monitoring, Vol.14, No.2, pp. 109-125, 2020, DOI:10.32604/sdhm.2020.06489 - 23 June 2020

    Abstract This research will develop a set of assessment techniques and procedures for exterior wall deterioration detection. The proposed method is mainly based on equipped with high-resolution photographic equipment for unmanned aerial vehicle (UAV). To overcome the problems of visual inspection difficulties due to different angles and height, the proposed method provides a safer and more efficient detection way to get the buildings’ exterior status. After using the proposed method to analyze the images taken from UAV, the size of the damaged area can be evaluated more accurately, and the accuracy rate of visual assessment will… More >

  • Open Access

    ARTICLE

    Performance Evaluation of Supervised Machine Learning Techniques for Efficient Detection of Emotions from Online Content

    Muhammad Zubair Asghar1, Fazli Subhan2, Muhammad Imran1, Fazal Masud Kundi1, Adil Khan3, Shahboddin Shamshirband4, 5, *, Amir Mosavi6, 7, 8, Peter Csiba8, Annamaria R. Varkonyi Koczy8

    CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1093-1118, 2020, DOI:10.32604/cmc.2020.07709 - 30 April 2020

    Abstract Emotion detection from the text is a challenging problem in the text analytics. The opinion mining experts are focusing on the development of emotion detection applications as they have received considerable attention of online community including users and business organization for collecting and interpreting public emotions. However, most of the existing works on emotion detection used less efficient machine learning classifiers with limited datasets, resulting in performance degradation. To overcome this issue, this work aims at the evaluation of the performance of different machine learning classifiers on a benchmark emotion dataset. The experimental results show More >

  • Open Access

    ARTICLE

    Vegetative Compatibility and Virulence Diversity of Verticillium dahliae from Okra (Abelmoschus esculentus) Plantations in Turkey and Evaluation of Okra Landraces for Resistance to V. dahliae

    Fatih M. Tok1, Sibel Dervis2,*, Halit Yetisir3

    Phyton-International Journal of Experimental Botany, Vol.89, No.2, pp. 303-314, 2020, DOI:10.32604/phyton.2020.08801 - 22 April 2020

    Abstract Forty-four V. dahliae isolates were collected from symptomatic vascular tissues of okra plants each from a different field in eight provinces located in the eastern Mediterranean and western Anatolia regions of Turkey during 2006- 2009. Nitrate-nonutilizing (nit) mutants of V. dahliae from okra were used to determine heterokaryosis and genetic relatedness among isolates. All isolates from okra plants were grouped into two vegetative compatibility groups (VCGs) (1 and 2) and three subgroups as 1A (13.6%, 6/44), 2A (20.5%, 9/44) and 2B (65.9%, 29/44) according to international criteria. Pathogenicity tests were performed on a susceptible local okra (A. esculentus) landrace… More >

  • Open Access

    ARTICLE

    Visualization Analysis for Business Performance of Chinese Listed Companies Based on Gephi

    Guang Sun1, Hongzhang Lv1, *, Dianyu Wang2, Xiaoping Fan1, 3, Yi Zuo1, Yanfei Xiao4, Xu Liu1, Wenqian Xiang1, Ziyi Guo1

    CMC-Computers, Materials & Continua, Vol.63, No.2, pp. 959-977, 2020, DOI:10.32604/cmc.2020.08619 - 01 May 2020

    Abstract When conducting company performance evaluations, the traditional method cannot reflect the distribution characteristics of the company’s operating conditions in the entire securities market. Gephi is an efficient tool for data analysis and visualization in the era of big data. It can convert the evaluation results of all listed companies into nodes and edges, and directly display them in the form of graphs, thus making up for the defects of traditional methods. This paper will take all the listed companies in the Shanghai and Shenzhen Stock Exchange as the analysis object. First uses tushare and web… More >

  • Open Access

    ARTICLE

    Fatigue Performance Analysis and Evaluation for Steel Box Girder Based on Structural Health Monitoring System

    Meiling Zhuang1,2,3, Changqing Miao1,2,*, Rongfeng Chen1,2

    Structural Durability & Health Monitoring, Vol.14, No.1, pp. 51-79, 2020, DOI:10.32604/sdhm.2020.07663 - 01 March 2020

    Abstract Taizhou Yangtze River Bridge as a long-span suspension bridge, the finite element model (FEM) of it is established using the ANSYS Software. The beam4 element is used to simulate the main beam to establish the “spine beam” model of the Taizhou Yangtze River Bridge. The calculated low-order vibration mode frequency of the FEM is in good agreement with the completion test results. The model can simulate the overall dynamic response of the bridge. Based on the vehicle load survey, the Monte Carlo method is applied to simulate the traffic load flow. Then the overall dynamic… More >

  • Open Access

    ARTICLE

    Fatigue Life Evaluation Method for Foundry Crane Metal Structure Considering Load Dynamic Response and Crack Closure Effect

    Qing Dong1, *, Bin He1, Gening Xu1

    CMES-Computer Modeling in Engineering & Sciences, Vol.122, No.2, pp. 525-553, 2020, DOI:10.32604/cmes.2020.08498 - 01 February 2020

    Abstract To compensate for the shortcomings of quasi-static law in anti-fatigue analysis of foundry crane metal structures, the fatigue life evaluation method of foundry crane metal structure considering load dynamic response and crack closure effect is proposed. In line with the theory of mechanical vibration, a dynamic model of crane structure during the working cycle is constructed, and dynamic coefficients under diverse actions are analysed. Calculation models of the internal force dynamic change process of dangerous cross-sections and a simulation model of first principal stress-time history are established by using the steel structure design criteria, which… More >

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