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  • Open Access

    ARTICLE

    CTSF: An End-to-End Efficient Neural Network for Chinese Text with Skeleton Feature

    Hengyang Wang, Jin Liu*, Haoliang Ren

    Journal on Big Data, Vol.3, No.3, pp. 119-126, 2021, DOI:10.32604/jbd.2021.017184 - 22 November 2021

    Abstract The past decade has seen the rapid development of text detection based on deep learning. However, current methods of Chinese character detection and recognition have proven to be poor. The accuracy of segmenting text boxes in natural scenes is not impressive. The reasons for this strait can be summarized into two points: the complexity of natural scenes and numerous types of Chinese characters. In response to these problems, we proposed a lightweight neural network architecture named CTSF. It consists of two modules, one is a text detection network that combines CTPN and the image feature More >

  • Open Access

    ARTICLE

    Blockchain-Based Decentralized Reputation Management System for Internet of Everything in 6G-Enabled Cybertwin Architecture

    Meimin Wang, Zhili Zhou*, Chun Ding

    Journal of New Media, Vol.3, No.4, pp. 137-150, 2021, DOI:10.32604/jnm.2021.024543 - 05 November 2021

    Abstract Internet of Everything (IoE) has emerged as a promising paradigm for the purpose of connecting and exchanging data among physical objects and humans over the Internet, and it can be widely applied in the fields of industry, transportation, commerce, and education. Recently, the emergence of 6G-enabled cybertwin network architecture provides the technical and theoretical foundation for the realization of IoE paradigm. However, the IoE has three open issues in the 6G-enabled cybertwin architecture, i.e., data authenticity, data storage and node reliability. To address these issues, we propose a blockchain-based decentralized reputation management system (BC-DRMS)… More >

  • Open Access

    ARTICLE

    Protective Factors for Loneliness among Adolescents during COVID-19: Role of the Interpersonal Relationships and Sibling Status

    Sha Shen1, Saidi Wang2,*, Md Zahir Ahmed3, Fatema Akhter Hiramoni4, Jingrong Sha1, Xiangdong Yan5, Mary C. Jobe6 and Oli Ahmed7

    International Journal of Mental Health Promotion, Vol.23, No.4, pp. 499-511, 2021, DOI:10.32604/IJMHP.2021.018661 - 28 October 2021

    Abstract This study examined the moderating effects of parent-child, same-sex, opposite-sex and teacher-student relationships between sibling status and loneliness during COVID-19. A total of 1,591 adolescents in China completed the study questionnaires which assessed the aforementioned variables. The results showed that same-sex and teacherstudent relationships moderated the association between sibling status and loneliness. The results indicated that among participants with good same-sex relationships during COVID-19, compared to non-only-children participants, the only-children participants were more likely to experience a lower level of loneliness. However, participants with poor same-sex relationships experienced similar level of loneliness regardless of whether More >

  • Open Access

    ARTICLE

    Certain Investigations on Melanoma Detection Using Non-Subsampled Bendlet Transform with Different Classifiers

    S. Poovizhi, T. R. Ganesh Babu, R. Praveena*

    Molecular & Cellular Biomechanics, Vol.18, No.4, pp. 201-219, 2021, DOI:10.32604/mcb.2021.017984 - 27 October 2021

    Abstract Skin is the largest organ and outer enclosure of the integumentary system that protects the human body from pathogens. Among various cancers in the world, skin cancer is one of the most commonly diagnosed cancer which can be either melanoma or non-melanoma. Melanoma cancers are very fatal compared with non-melanoma cancers but the chances of survival rate are high when diagnosed and treated earlier. The main aim of this work is to analyze and investigate the performance of Non-Subsampled Bendlet Transform (NSBT) on various classifiers for detecting melanoma from dermoscopic images. NSBT is a multiscale More >

  • Open Access

    ARTICLE

    Vibration Control of Vertical Turbine Pump by Optimization of Vane Pitch Tolerances of an Impeller Using Statistical Techniques

    Ravindra Birajdar1,*, Appasaheb Keste2, Shravan Gawande2

    Sound & Vibration, Vol.55, No.4, pp. 305-327, 2021, DOI:10.32604/sv.2021.017000 - 18 October 2021

    Abstract The objective of the study is to find the tolerance on vane pitch dimensions of a Vertical Turbine (VT) pump impeller. For this purpose, the study is divided into two parts viz. to find the critical hydraulic eccentricity of a VT pump impeller by way of numerical simulations and design of experiments to find the vane pitch tolerance using critical hydraulic eccentricity. The effect of impeller vane pitch deviations on hydraulic unbalance is examined for a vertical turbine pump using Design of Experiments (DOE). A suitable orthogonal matrix has been selected with vane pitch at More >

  • Open Access

    ARTICLE

    Fractional Analysis of Dynamical Novel COVID-19 by Semi-Analytical Technique

    S. Iqbal1, D. Baleanu2,3, Javaid Ali4, H. M. Younas5, M. B. Riaz6,7,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.2, pp. 705-727, 2021, DOI:10.32604/cmes.2021.015375 - 08 October 2021

    Abstract This study employs a semi-analytical approach, called Optimal Homotopy Asymptotic Method (OHAM), to analyze a coronavirus (COVID-19) transmission model of fractional order. The proposed method employs Caputo's fractional derivatives and Reimann-Liouville fractional integral sense to solve the underlying model. To the best of our knowledge, this work presents the first application of an optimal homotopy asymptotic scheme for better estimation of the future dynamics of the COVID-19 pandemic. Our proposed fractional-order scheme for the parameterized model is based on the available number of infected cases from January 21 to January 28, 2020, in Wuhan City More >

  • Open Access

    ARTICLE

    Techno-Economic Analysis of a Grid-Connected Waste to Energy Gasification Plant: A Case Study

    Ahmed Abubakar Elwan*, Mohammed Hafiz Habibuddin

    Energy Engineering, Vol.118, No.6, pp. 1681-1701, 2021, DOI:10.32604/EE.2021.016291 - 10 September 2021

    Abstract With population growth around the world, municipal waste disposal and continued energy demand becomes some of the major challenges to deal with. In order to address these, an approach is required for an optimal waste management system that offers the population benefit with a lower environmental impact. This study evaluates the technical-economic and environmental impact analysis of a grid-connected waste to energy (WtE) plant to power a Univerisiti Teknologi Malaysia (UTM) community. The energy recovery potential of the waste stream was assessed using the life cycle assessment (LCA) method with GaBiTM software (version 4). A technical,… More >

  • Open Access

    ARTICLE

    Using Image Processing Technology and General Fluid Mechanics Principles to Model Smoke Diffusion in Forest Fires

    Liying Zhu*, Ang Wang, Fang Jin

    FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.6, pp. 1213-1222, 2021, DOI:10.32604/fdmp.2021.017572 - 08 September 2021

    Abstract In the present study, the laws of smoke diffusion during forest fires are determined using the general principles of fluid mechanics and dedicated data obtained experimentally using an “ad hoc” imaging technology. Experimental images mimicking smoke in a real scenario are used to extract some “statistics”. These in turn are used to obtain the “divergence” of the flow (this fluid-dynamic parameter describing the amount of air that converges to a certain place from the surroundings or vice versa). The results show that the divergence of the smoke depends on the outside airflow and finally tends to More >

  • Open Access

    ARTICLE

    Fatigue Crack Detection in Steel Plates Using Guided Waves and an Energy-Based Imaging Approach

    Mingyu Lu1,*, Kaige Zhu1, Qiang Wang2

    Structural Durability & Health Monitoring, Vol.15, No.3, pp. 207-225, 2021, DOI:10.32604/sdhm.2021.017720 - 07 September 2021

    Abstract The increasing use of ultrasonic guided waves (GWs) has been shown to have great potential for the detection of fatigue cracks and non-fatigue type damages in metallic structures. This paper reports on a study demonstrating an energy-based damage imaging approach in which signal characteristics identified through relative time differences by fatigue crack (RTD/f) through different sensor paths are used to estimate the location of fatigue crack in steel plates based on GWs generated by an active piezoceramic transducer (PZT) network. The propagation of GWs in the original 10 mm-thick plate was complicated due to its… More >

  • Open Access

    ARTICLE

    Damage Detection in CFST Column by Simulation of Ultrasonic Waves Using STFT-Based Spectrogram and Welch Power Spectral Density Estimate

    Nadom K. Mutlib1,*, Muna N. Ismael1, Shahrizan Baharom2

    Structural Durability & Health Monitoring, Vol.15, No.3, pp. 227-246, 2021, DOI:10.32604/sdhm.2021.010725 - 07 September 2021

    Abstract Structural health monitoring employs different tools and techniques to provide a prediction for damages that occur in various structures. Damages such as debond and cracks in concrete-filled steel tube column (CFST) are serious defects that threaten the integrity of the structural members. Ultrasonic waves monitoring applied to the CFST column is necessary to detect damages and quantify their size. However, without appropriate signal processing tools, the results of the monitoring process could not be crucial. In this research, a monitoring process based on a Multiphysics numerical simulation study was carried out. Two signal processing tools:… More >

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