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  • Open Access

    ARTICLE

    Evaluation of Individual and Environmental Sound Pressure Level and Drawing Noise-Isosonic Maps using Surfer V.14 and Noise at Work V.5.0

    Sajad Zare1, Rasoul Hemmatjo2, Hossein ElahiShirvan3,*, Ashkan Jafari Malekabad3, Mansour Ziaei4, Farshad Nadri5

    Sound & Vibration, Vol.55, No.2, pp. 163-171, 2021, DOI:10.32604/sv.2021.09114 - 21 April 2021

    Abstract Noise pollution is one of the common physical harmful factors in many work environments. The current study aimed to assess personal and environmental sound pressure level and project the sound-Isosonic map in one of the Razavi Khorasan Paste manufacture using Surfer V.14 and Noise at work V.5.0. This cross-sectional, descriptive study is analytical that was conducted in 2018 in the Paste factory that contains Canister, production and Brewing unit. Following ISO 9612:2009, Casella Cel-320 was used to measure personal sound pressure level, while CEL-450 sound level meter (manufactured by Casella-Cel, the UK) was employed to… More >

  • Open Access

    ARTICLE

    Intelligent Autonomous-Robot Control for Medical Applications

    Rihem Farkh1,2, Haykel Marouani1,*, Khaled Al Jaloud1, Saad Alhuwaimel3, Mohammad Tabrez Quasim4, Yasser Fouad1

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 2189-2203, 2021, DOI:10.32604/cmc.2021.015906 - 13 April 2021

    Abstract The COVID-19 pandemic has shown that there is a lack of healthcare facilities to cope with a pandemic. This has also underscored the immediate need to rapidly develop hospitals capable of dealing with infectious patients and to rapidly change in supply lines to manufacture the prescription goods (including medicines) that is needed to prevent infection and treatment for infected patients. The COVID-19 has shown the utility of intelligent autonomous robots that assist human efforts to combat a pandemic. The artificial intelligence based on neural networks and deep learning can help to fight COVID-19 in many… More >

  • Open Access

    ARTICLE

    A Numerical Study on the Mechanisms Producing Forces on Cylinders Interacting with Stratified Shear Environments

    Yin Wang1,*, Lingling Wang2, Yong Ji1, Zhicheng Xi1, Wenwen Zhang1

    FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.2, pp. 471-485, 2021, DOI:10.32604/fdmp.2021.014652 - 02 April 2021

    Abstract A three dimensional (3D) numerical wave flume is used to investigate carefully the ISWs (Internal solitary wave) forces acting on cylinders interacting with a stratified shear environment. Using the Large-Eddy Simulation (LES) approach and analyzing the distribution of shear stress and pressure along the surface of the cylinder, the differential pressure resistance and the viscous force are obtained. The method of multiple linear regression analysis is adopted and a comprehensive influence coefficient is determined accordingly to account for the dimensionless forces acting on the cylinder. Results show that the differential pressure resistance on a square More >

  • Open Access

    ARTICLE

    Predicting COVID-19 Based on Environmental Factors With Machine Learning

    Amjed Basil Abdulkareem1, Nor Samsiah Sani1,*, Shahnorbanun Sahran1, Zaid Abdi Alkareem Alyessari1, Afzan Adam1, Abdul Hadi Abd Rahman1, Abdulkarem Basil Abdulkarem2

    Intelligent Automation & Soft Computing, Vol.28, No.2, pp. 305-320, 2021, DOI:10.32604/iasc.2021.015413 - 01 April 2021

    Abstract The coronavirus disease 2019 (COVID-19) has infected more than 50 million people in more than 100 countries, resulting in a major global impact. Many studies on the potential roles of environmental factors in the transmission of the novel COVID-19 have been published. However, the impact of environmental factors on COVID-19 remains controversial. Machine learning techniques have been used effectively in combating the COVID-19 epidemic. However, researches related to machine learning on weather conditions in spreading COVID-19 is generally lacking. Therefore, in this study, three machine learning models (Convolution Neural Network (CNN), ADtree Classifier and BayesNet)… More >

  • Open Access

    REVIEW

    Fondamentaux de l’immunologie des Cancers Digestifs (Gastriques et Hépatocellulaires)

    Pierre-Guillaume Poureau1,2,*, Jean-Philippe Metges2

    Oncologie, Vol.23, No.1, pp. 47-59, 2021, DOI:10.32604/Oncologie.2021.15525 - 30 March 2021

    Abstract L’immunothérapie des cancers digestifs est en plein essor et pour la première fois un inhibiteur de point de contrôle immunitaire a obtenu une autorisation de mise sur le marché pour le traitement d’un cancer digestif. Afin d’appréhender au mieux le mécanisme d’action de ces traitements, leurs effets secondaires et l’échappement à ces traitement, il est nécessaire de connaître les fondamentaux de l’immunologie des cancers. Le système immunitaire inné et adaptatif permet l’élimination des cellules cancéreuses par cytotoxicité directe non spécifique (cellules Natural Killer), par le développement d’une réponse adaptative à médiation cellulaire (cellules dendritiques devenant… More >

  • Open Access

    ARTICLE

    Evaluation of Environmental Quality for Abandoned Coal Mine Based on Environmental Vulnerability Index

    Peng Qi1,*, Yu Shang2,*

    Energy Engineering, Vol.118, No.3, pp. 727-736, 2021, DOI:10.32604/EE.2021.014203 - 22 March 2021

    Abstract With the increasingly prominent environmental problems of abandoned coal mines, this paper discussed the significance of environmental vulnerability assessment of abandoned coal mines. Environmental vulnerability assessment is essentially an assessment of environmental quality. At present, the research object of environmental impact assessment method and program of mine is mostly single factor. However, the impact of abandoned coal mine on the environment is multifaceted, which was summarized into nine prominent common problems. Based on these nine factors, the environmental vulnerability assessment model of abandoned coal mine based on multifactor evaluation was established by using the analytic More >

  • Open Access

    ARTICLE

    Design and Analysis of a Small Sewage Source Heat Pump Triple Supply System

    Chunxue Gao1,*, Yu Hao1, Qiuxin Liu1,2

    Energy Engineering, Vol.118, No.3, pp. 667-678, 2021, DOI:10.32604/EE.2021.014703 - 22 March 2021

    Abstract Based on the characteristics of sewage from beauty salons, a simulation model of a small sewage source heat pump triple supply system that can be applied to such places is established to optimize the operating conditions of the system. The results show that with the increase of sewage temperature and flow, the performance of the system also increases. In summer conditions, the system provides cooling, recovers waste heat and condensed heat from sewage, with a COP value of 8.97; in winter conditions, the system heats and produces hot water, with a COP value of 2.44; More >

  • Open Access

    ARTICLE

    Simulation of Electric Field Distribution along Insulator Surface in Polluted Environments

    Yukun Lv, Yuechi Wang*, Jiawen Wang, Jing Wang, Jiaxi Yang

    Energy Engineering, Vol.118, No.3, pp. 631-642, 2021, DOI:10.32604/EE.2021.014578 - 22 March 2021

    Abstract In recent years, more than 50% of the cities in the inland area of our country have suffered from moderate pollution. It can affect the distribution of electric field along the surface of insulator and the pollution characteristics of its surface area, even endanger the safe operation of transmission lines. This paper takes the XSP-160 porcelain three umbrella insulator under the action of 0–±30 kV DC voltage as the research object, and establishes the physical model of the insulator; uses COMSOL software to simulate the electric field of the insulator. The comparison with the results… More >

  • Open Access

    ARTICLE

    The Non-Linear Effect of China’s Energy Consumption on Eco-Environment Pollution

    Chunhua Jin, Hanqing Hu*

    Energy Engineering, Vol.118, No.3, pp. 655-665, 2021, DOI:10.32604/EE.2021.014281 - 22 March 2021

    Abstract With the increase of total energy consumption, eco-environmental quality drops sharply, which has attracted concerns from all circles. It has become the top priority of construction of socialist ecological civilization to clarify the influences of energy consumption on the level of eco-environmental pollution. Ecological environmental pollution control cannot be one size fits all. It can avoid resource depletion and environmental deterioration via adjusting measures to local conditions to coordinate ecological environmental pollution and energy consumption problems. In this essay, entropy method is adopted to measure the composite indexes of eco-environmental pollution of 30 provinces and… More >

  • Open Access

    ARTICLE

    Deep Learning Enabled Autoencoder Architecture for Collaborative Filtering Recommendation in IoT Environment

    Thavavel Vaiyapuri*

    CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 487-503, 2021, DOI:10.32604/cmc.2021.015998 - 22 March 2021

    Abstract The era of the Internet of things (IoT) has marked a continued exploration of applications and services that can make people’s lives more convenient than ever before. However, the exploration of IoT services also means that people face unprecedented difficulties in spontaneously selecting the most appropriate services. Thus, there is a paramount need for a recommendation system that can help improve the experience of the users of IoT services to ensure the best quality of service. Most of the existing techniques—including collaborative filtering (CF), which is most widely adopted when building recommendation systems—suffer from rating… More >

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