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  • Open Access

    PROCEEDINGS

    Particle Dynamics in a Low-Reynolds-Number Fluid Under Spherical Confinement

    Gaofeng Chen1,2, Xikai Jiang1,2,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.09877

    Abstract Dynamics of a single particle suspended in a low-Reynolds-number fluid under spherical confinement was studied numerically. We calculated hydrodynamic mobilities of a sphere, a prolate spheroid, and an oblate spheroid parallel and transverse to particle-cavity line of centres. The mobilities show maximum in the cavity centre and decay as the particle moves towards the no-slip wall. For prolate and oblate spheroids, their mobilities are also affected by the angle between particle's axis of revolution and the particle-cavity line of centres due to particle anisotropy. It was observed that the effect of particle anisotropy becomes stronger… More >

  • Open Access

    ARTICLE

    Multi-Attribute Group Decision-Making Method under Spherical Fuzzy Bipolar Soft Expert Framework with Its Application

    Mohammed M. Ali Al-Shamiri1,2, Ghous Ali3,*, Muhammad Zain Ul Abidin3, Arooj Adeel3

    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.2, pp. 1891-1936, 2023, DOI:10.32604/cmes.2023.027844 - 26 June 2023

    Abstract Spherical fuzzy soft expert set (SFSES) theory blends the perks of spherical fuzzy sets and group decision-making into a unified approach. It allows solutions to highly complicated uncertainties and ambiguities under the unbiased supervision and group decision-making of multiple experts. However, SFSES theory has some deficiencies such as the inability to interpret and portray the bipolarity of decision-parameters. This work highlights and overcomes these limitations by introducing the novel spherical fuzzy bipolar soft expert sets (SFBSESs) as a powerful hybridization of spherical fuzzy set theory with bipolar soft expert sets (BSESs). Followed by the development More > Graphic Abstract

    Multi-Attribute Group Decision-Making Method under Spherical Fuzzy Bipolar Soft Expert Framework with Its Application

  • Open Access

    ARTICLE

    A Personalized Video Synopsis Framework for Spherical Surveillance Video

    S. Priyadharshini*, Ansuman Mahapatra

    Computer Systems Science and Engineering, Vol.45, No.3, pp. 2603-2616, 2023, DOI:10.32604/csse.2023.032506 - 21 December 2022

    Abstract Video synopsis is an effective way to easily summarize long-recorded surveillance videos. The omnidirectional view allows the observer to select the desired fields of view (FoV) from the different FoV available for spherical surveillance video. By choosing to watch one portion, the observer misses out on the events occurring somewhere else in the spherical scene. This causes the observer to experience fear of missing out (FOMO). Hence, a novel personalized video synopsis approach for the generation of non-spherical videos has been introduced to address this issue. It also includes an action recognition module that makes More >

  • Open Access

    ARTICLE

    Novel Contiguous Cross Propagation Neural Network Built CAD for Lung Cancer

    A. Alice Blessie1,*, P. Ramesh2

    Computer Systems Science and Engineering, Vol.44, No.2, pp. 1467-1484, 2023, DOI:10.32604/csse.2023.025399 - 15 June 2022

    Abstract The present progress of visual-based detection of the diseased area of a malady plays an essential part in the medical field. In that case, the image processing is performed to improve the image data, wherein it inhibits unintended distortion of image features or it enhances further processing in various applications and fields. This helps to show better results especially for diagnosing diseases. Of late the early prediction of cancer is necessary to prevent disease-causing problems. This work is proposed to identify lung cancer using lung computed tomography (CT) scan images. It helps to identify cancer… More >

  • Open Access

    ARTICLE

    THERMAL-HYDRAULIC ANALYSIS OF TRANSIENT CONJUGATE HEATING BETWEEN HEMI-SPHERICAL BODY AND AIR

    Farhan Lafta Rashida , Abbas Fadhil Khalafa, Ahmed Kadhim Husseinb, Mohamed Bechir Ben Hamida c,d,e, Bagh Alif, Obai Younisg,*

    Frontiers in Heat and Mass Transfer, Vol.19, pp. 1-6, 2022, DOI:10.5098/hmt.19.21

    Abstract Convection and conduction in a fluid flow and a rigid body in contact with each other often occur in engineering situations, resulting in unsteady conjugate heat transfer (CHT). Although the analytical solutions to the separate conduction and convection issues are surprisingly straightforward, the combined conjugate heat transfer problem is substantially more complex to solve. This study investigates the CHT of a fluid (air) passing through an unbounded hemisphere. The hemisphere produces heat at a predictable and regular pace. The governing equations are solved using a finite volume system (FVS) using ANSYS Fluent V.16.0, with axisymmetric, More >

  • Open Access

    ARTICLE

    A CFD-DEM-Wear Coupling Method for Stone Chip Resistance of Automotive Coatings with a Rigid Connection Particle Method for Non-Spherical Particles

    Jiacheng Qian1, Chenqi Zou1, Mengyan Zang1,*, Shunhua Chen2,3,*, Makoto Tsubokura4

    CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.2, pp. 251-280, 2022, DOI:10.32604/cmes.2022.020738 - 21 July 2022

    Abstract The stone chip resistance performance of automotive coatings has attracted increasing attention in academic and industrial communities. Even though traditional gravelometer tests can be used to evaluate stone chip resistance of automotive coatings, such experiment-based methods suffer from poor repeatability and high cost. The main purpose of this work is to develop a CFD-DEM-wear coupling method to accurately and efficiently simulate stone chip behavior of automotive coatings in a gravelometer test. To achieve this end, an approach coupling an unresolved computational fluid dynamics (CFD) method and a discrete element method (DEM) are employed to account… More >

  • Open Access

    ARTICLE

    Multi-Layer and Multi-Objective Optimization Design of Supporting Structure of Large-Scale Spherical Solar Concentrator for the Space Solar Power Station

    Yang Yang, Jun Hu, Lin Zhu*, Mengchen Pei

    Journal of Renewable Materials, Vol.10, No.11, pp. 2835-2849, 2022, DOI:10.32604/jrm.2022.021840 - 29 June 2022

    Abstract Space solar power station is a novel renewable energy equipment in space to provide the earth with abundant and continuous power. The Orb-shaped Membrane Energy Gathering Array, one of the alternative construction schemes in China, is promising for collecting space sunlight with a large-scale spherical concentrator. Both the structural and optical performances such as root mean square deformation, natural frequency, system mass, and sunlight blocking rate have significant influences on the system property of the concentrator. Considering the comprehensive performance of structure and optic, this paper proposes a novel mesh grid based on normal polyhedron… More > Graphic Abstract

    Multi-Layer and Multi-Objective Optimization Design of Supporting Structure of Large-Scale Spherical Solar Concentrator for the Space Solar Power Station

  • Open Access

    ARTICLE

    Agricultural Supply Chain Risks Evaluation with Spherical Fuzzy Analytic Hierarchy Process

    Phi-Hung Nguyen*

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 4211-4229, 2022, DOI:10.32604/cmc.2022.030115 - 16 June 2022

    Abstract The outbreak of the COVID-19 pandemic has impacted the development of the global economy. As most developing and third world countries are heavily dependent on agriculture and agricultural imports, the agricultural supply chains (ASC) in all these countries are exposed to unprecedented risks following COVID-19. Therefore, it is vital to investigate the impact of risks and create resilient ASC organizations. In this study, critical risks associated with ASC were assessed using a novel Analytical Hierarchy Process based on spherical fuzzy sets (SF-AHP). The findings indicated that depending on the scope and scale of the organization,… More >

  • Open Access

    ARTICLE

    Spherical Fuzzy WASPAS-based Entropy Objective Weighting for International Payment Method Selection

    Phi-Hung Nguyen1,2,*, Thanh-Tuan Dang3, Kim-Anh Nguyen1, Hong-Anh Pham1

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 2055-2075, 2022, DOI:10.32604/cmc.2022.025532 - 24 February 2022

    Abstract In international trade, exporters prefer to receive payments as quickly as possible, and importers want to make payments as late as possible. In this respect, the payment field, an essential condition for trade transactions, also represents the positions of exporters and importers conflict. In addition, there are many cases in which various variables must be considered rather than only one specific variable representatively affecting payment, particularly in the case of import-export Small and Medium-Sized Enterprises (SMEs) from emerging countries. A selection of proper payment methods can be categorized as a Multi-Criteria Decision-Making (MCDM) issue. Therefore,… More >

  • Open Access

    ARTICLE

    Tunable Luminescence Properties and Elucidating the Electronic Structures of Single-Phase Spherical BaWO4: Dy3+, Tm3+, Eu3+ Phosphors for Warm-White-Lighting

    Zun Bi1,2,3, Ke Jia1,2,3, Yunfei Liu1,2,3,*, Yinong Lyu1,2,3,*

    Journal of Renewable Materials, Vol.10, No.2, pp. 431-451, 2022, DOI:10.32604/jrm.2022.016735 - 30 August 2021

    Abstract A series of uniform single-phase spherical BaWO4: Dy3+, Tm3+, Eu3+ phosphors were prepared via a microwave hydrothermal method by using trisodium citrate dehydrate as surfactant. The phase structure, morphology and photoluminescence properties were measured by powder X-ray diffraction, scanning electron microscope and fluorescence spectrometer, respectively. The results show that uniform spherical microcrystals with diameters in the range of 2–4 μm are obtained. And the phase and morphology of samples are not significantly changed by doping rare earth (RE3+) ions. Under the excitation wavelength of 356 and 365 nm, the samples BaWO4: 0.03Dy3+, yTm3+ can emit cold white light. In order… More >

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