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Exploring Deep Learning Methods for Computer Vision Applications across Multiple Sectors:Challenges and Future Trends

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Computer Modeling in engineering & sciences 2024年第4期139卷 103-141页

作者： Narayanan Ganesh Rajendran Shankar Miroslav Mahdal Janakiraman SenthilMurugan Jasgurpreet Singh Chohan Kanak Kalita School of Computer Science and Engineering Vellore Institute of TechnologyChennai600127India Department of Computer Science and Engineering Koneru Lakshmaiah Education FoundationVaddeswaram522502India Department of Control Systems and Instrumentation Faculty of Mechanical EngineeringVSB-Technical University of OstravaOstrava70800Czech Republic Department of Computer Science and Engineering Vel Tech High Tech Dr.Rangarajan Dr.Sakunthala Engineering CollegeChennai600062India Department of Mechanical Engineering and University Centre for Research&Development Chandigarh UniversityMohali140413India Department of Mechanical Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyAvadi600062India

Computer vision(CV)was developed for computers and other systems to act or make recommendations based on visual inputs,such as digital photos,movies,and other *** learning(DL)methods are more successful than other traditional machine learning(ML)methods *** techniques can produce state-of-the-art results for difficult CV problems like picture categorization,object detection,and face *** this review,a structured discussion on the history,methods,and applications of DL methods to CV problems is *** sector-wise presentation of applications in this papermay be particularly useful for researchers in niche fields who have limited or introductory knowledge of DL methods and *** review will provide readers with context and examples of how these techniques can be applied to specific areas.A curated list of popular datasets and a brief description of them are also included for the benefit of readers.

关键词： Neural network machine vision classification object detection deep learning

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Simulation of coupling characteristics of motion and heat transfer between airflow and ice crystals in a single-stage compressor

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Propulsion and Power research 2024年第4期13卷 570-585页

作者： Ping Huang Xueqin Bu Guiping Lin Quanyong Xu Chunhua Xiao School of Aeronautic Science and Engineering Beihang UniversityBeijing 100083China Key Laboratory of Icing and Anti/De-icing China Aerodynamics Research and Development CenterMianyang 621000China Hangzhou International Innovation Institute Beihang UniversityHangzhou 311115China Institute for Aero Engine Tsinghua UniversityBeijing 100084China Institute of Low Speed Aerodynamics China Aerodynamic Research and Development CenterMianyang 621000China

This paper investigates the coupling characteristics of motion and heat transfer between airflow and ice crystals in a single-stage *** motion and phase transition process of ice crystal particles were modeled using the Eulerian trajectory method and vali*** heat and mass transfer processes between airflows in compressor and ice crystals were simulated and *** melting ratio,catching efficiency,and sticking efficiency of ice crystals were obtained,as well as variations in temperature and humidity ratio in the airflow due to ice crystal phase *** results show that the ice crystals sticking to blades in the single-stage compressor account for 10.35%of the impact mass flow ***,the presence of ice crystals causes a 0.466 K decrease in the airflow temperature and a 0.114 g/kg(a)increase in the humidity *** theoretical model and calculation method provide strong support for future ice crystal icing simulations and engine operation research.

关键词： Ice crystal icing Compressor performance Two-phase flow Phase change Eulerian method

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Structural parameters and molecular model of Shendong subbituminous coal

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Chinese Journal of Chemical engineering 2024年第12期76卷 124-134页

作者： Xiaoping Su Ning Li Longjian Li Reyila Tuerhong Yongchong Yu Ping Zhang Qiong Su Tao Shen Ming Sun Xiaoxun Ma Key Laboratory of Environment-Friendly Composite Materials of the State Ethnic Affairs Commission Gansu Provincial Biomass Function Composites Engineering Research CenterKey Laboratory for Utility of Environment-Friendly Composite Materials and Biomass in University of Gansu ProvinceGansu Province Research Center for Basic Sciences of Surface and Interface ChemistryCollege of Chemical EngineeringNorthwest Minzu UniversityLanzhou 730124China School of Chemical Engineering Northwest UniversityInternational Science&Technology Cooperation Base of MOST for Clean Utilization of Hydrocarbon ResourcesChemical Engineering Research Center of the Ministry of Education for Advanced Use Technology of Shanbei EnergyShaanxi Research Center of Engineering Technology for Clean Coal ConversionCollaborative Innovation Center for Development of Energy and Chemical Industry in Northern ShaanxiXi'an 710069China

Coal has a highly complex chemical structure,similar to polymers,coal is a macromolecular structure composed of a large number of“similar compounds”,which is called the basic structural *** coal structure is the basis of its transformation and ***(SD)coal was analyzed by FTIR,XRD,XPS,and *** results show that SD coal normalized structure formula is C_(100)H_(68.5)O_(35.7)N_(1.2)S_(0.2)and the average number of aromatic rings is 1.98.-CH_(2)-content accounts for about 82%in aliphatic CeH region,and the ratio of ether bond CeO,aromatic ether C-O and C=O is about 2:1:11 in oxygen-containing functional group *** d_(002),L_(C),L_(a)and N_(C)of S_(D)coal microcrystalline structure parameters are 0.1832 nm,1.4688 nm,2.0852 nm and 9.017,*** carbon and aliphatic carbon ratios of SD coal are 55.67%and 29.97%,aromatic cluster size and average methylene chain length are 0.224 and *** on these structural parameters,molecular model of SD coal was constructed with^(13)C SSNMR experimental spectra as a *** model was constructed with an atom composition of C_(214)H_(214)O_(49)N_(2)S.

关键词： Subbituminous coal Structural parameters ^(13)C CP/MAS SSNMR Molecular model

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Study on coal pyrolysis characteristics by combining different pyrolysis reactors

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Chinese Journal of Chemical engineering 2024年第12期76卷 1-9页

作者： Xiaoping Su Zhao Wang Ning Li Longjian Li Ping Zhang Ming Sun Xiaoxun Ma School of Chemical Engineering Northwest Minzu UniversityKey Laboratory of Environment-Friendly Composites of the State Ethnic Affairs CommissionGansu Provincial Biomass Function Composites Engineering Research CenterKey Laboratory for Utility of Environment-Friendly Composites and Biomass in Universities of Gansu ProvinceGansu Province Research Center for Basic Sciences of Surface and Interface ChemistryLanzhou 730030China School of Chemical Engineering Northwest UniversityInternational Science&Technology Cooperation Base of MOST for Clean Utilization of Hydrocarbon ResourcesChemical Engineering Research Center of the Ministry of Education for Advanced Use Technology of Shanbei EnergyShaanxi Research Center of Engineering Technology for Clean Coal ConversionCollaborative Innovation Center for Development of Energy and Chemical Industry in Northern ShaanxiXi'an 710069China

The pyrolysis process of Shendong coal(SD)was first studied by combining the characteristics of thermal gravimetric(TG),pyrolysis-gas chromatography/mass spectrometry(Py-GC/MS)and Gray-King assay(GK).The results show that the order of coke yields is G-K(76.35%(mass))>TG(73.11%(mass))>Py(70.03%(mass)).G-K coke yield caused by condensation reaction and secondary reaction accounts for 3.08%(mass)and 3.24%(mass),*** with slow pyrolysis,fast pyrolysis has stronger fracture ability to coal molecules and can obtain more O-compounds,mono-ring aromatics and ***,the content of phenolics increases significantly from 15.49%to 35.17%,but the content of multi-ring aromatics decreases from 23.13%to 2.36%.By comparing the compositions of Py primary tar and G-K final tar,it is found that secondary reactions occurred during G-K pyrolysis process include the cleavage of alkane and esters,condensation of mono-ring aromatics with low carbon alkene,ring opening,isomerization of tri-ring aromatics,hydrogenation of aromatics and acids.

关键词： Shendong coal Different pyrolysis reactors Pyrolysis process

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An automatic isotropic/anisotropic hybrid grid generation technique for viscous flow simulations based on an artificial neural network

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Chinese Journal of Aeronautics 2022年第4期35卷 102-117页

作者： Peng LU Nianhua WANG Xinghua CHANG Laiping ZHANG Yadong WU School of Information Engineering Southwest University of Science and TechnologyMianyang 621010China School of Intelligent Manufacturing Engineering Chongqing University of Arts and ScienceChongqing 402160China Stake Key Laboratory of Aerodynamics China Aerodynamics Research and Development CenterMianyang 621000China Unmanned Systems Research Center National Innovation Institute of Defense TechnologyBeijing 100071China School of Computer Science and Technology Sichuan University of Science&EngineeringYibin 644005China

Based on the author’s previous research, a novel hybrid grid generation technique is developed by introducing an Artificial Neural Network(ANN) approach for realistic viscous flow simulations. An initial hybrid grid over a typical geometry with anisotropic quadrilaterals in the boundary layer and isotropic triangles in the off-body region is generated by the classical mesh generation method to train two ANNs on how to predict the advancing direction of the new point and to control the grid size. After inputting the initial discretized fronts, the ANN-based Advancing Layer Method(ALM) is adopted to generate the anisotropic quadrilaterals in boundary layers. When the high aspect ratio of the anisotropic grid reaches a specified value, the ANN-based Advancing Front Method(AFM) is adopted to generate isotropic triangles in the off-body computational *** initial isotropic triangles are smoothed to further improve the grid quality. Three typical cases are tested and compared with experimental data to validate the effectiveness of grids generated by the ANN-based hybrid grid generation method. The experimental results show that the two ANNs can predict the advancing direction and the grid size very well, and improve the adaptability of the isotropic/anisotropic hybrid grid generation for viscous flow simulations.

关键词： Advancing front method Advancing layer method Anisotropic quadrilateral grid generation Artificial neural network Isotropic triangular grid generation Machine learning

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High-Entropy Oxide of (BiZrMoWCeLa)O2 as a Novel Catalyst for Vanadium Redox Flow Batteries

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ACS Applied Materials and Interfaces 2024年第8期16卷 10019-10032页

作者： Demeku, Aknachew Mebreku Kabtamu, Daniel Manaye Chen, Guan-Cheng Ou, Yun-Ting Huang, Zih-Jhong Hsu, Ning-Yih Ku, Hung-Hsien Wang, Yao-Ming Wang, Chen-Hao Department of Materials Science and Engineering National Taiwan University of Science and Technology Taipei106335 Taiwan Department of Chemistry Debre Berhan University Debre Berhan000000 Ethiopia Chemistry Division National Atomic Research Institute Taoyuan325207 Taiwan Maritime Innovation & Industry Promotion Department Metal Industries Research & Development Centre Kaohsiung811160 Taiwan Research Center National Cheng Kung University Tainan701401 Taiwan Center of Automation and Control National Taiwan University of Science and Technology Taipei106335 Taiwan

In this study, new fluorite high-entropy oxide (HEO), (BiZrMoWCeLa)O2, nanoparticles were produced using a surfactant-assisted hydrothermal technique followed by calcination and were used as novel catalytic materials for vanadium redox flow batteries (VRFBs). The HEO calcined at 750 °C (HEO-750) demonstrates superior electrocatalytic activity toward V3+/V2+ and VO2+/VO2+ redox couples compared to those of cells assembled with other samples. The charge-discharge tests further confirm that VRFBs using the HEO-750 catalyst demonstrate excellent Coulombic efficiency, voltage efficiency, and energy efficiency of 97.22, 87.47, and 85.04% at a current density of 80 mA cm-2 and 98.10, 74.76, and 73.34% at a higher current density of 160 mA cm-2, respectively. Moreover, with 500 charge-discharge cycles, there is no discernible degradation. These results are attributed to the calcination heat treatment, which induces the formation of a new single-phase fluorite structure, which facilitates the redox reactions of the vanadium redox couples. Furthermore, a high surface area, wettability, and plenty of oxygen vacancies can give more surface electroactive sites, improving the electrochemical performance, the charge transfer of the redox processes, and the stability of the VRFBs’ electrode. This is the first report on the development of fluorite structure HEO nanoparticles in VRFBs, and it opens the door to further research into other HEOs. © 2024 The Authors. Published by American Chemical Society.

关键词： Entropy

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Effect of Y_(2)O_(3)doping on preparation ultrafine/nano-tungsten powder and refinement mechanism

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Tungsten 2023年第4期5卷 539-547页

作者： Dong-Dong Lv Yu Sun Jian-Bo Zhang Sheng-Da Guo Bai-Xiong Liu Faculty of Materials Metallurgy and Chemistry Jiangxi University of Science and TechnologyGanzhou341000China Jiangxi Advanced Copper Industry Research Institute Yingtan335000China Naional Rare Earh Functional Material Innovation Center Jiangxi Universiy of Science and TechnologyGanzhou341000China Engineering Research Center of Tungsten Resources High-Efficiency Development and Application Technology of the Ministry of Education Jiangxi University of Science and TechnologyGanzhou341000China

In this study,ultrafine/nano W-Y_(2)O_(3)composite powders were synthesized by spray drying,roasting and two-step hydrogen reduction using ammonium metatungstate and yttrium nitrate as raw *** mechanism of the influence of Y_(2)O_(3)on the growth of WO_(2.72)and the particle refinement of tungsten powder is *** effect of Y_(2)O_(3)particles on the reduction behavior of tungsten powder was investigated using scanning electron microscopy to study the near surface morphology and X-ray diffraction for phase ID(composition)and crystal structural changes for the reduced powders at each *** results show that the doping of 0.3 wt.%Y_(2)O_(3)can significantly increase the aspect ratio of WO_(2.72)in the first step of hydrogen ***,Y_(2)O_(3)can effectively inhibit the growth of tungsten particles in the hydrogen reduction ***,The Y_(2)O_(3)-doped tungsten powders have finer particles and a narrower particle size distribution range than the undoped *** average particle diameter of 0.3 wt.%Y_(2)O_(3)doping tungsten powder was in the range of 90-120 nm.

关键词： Tungsten powder Hydrogen reduction Yttrium oxide

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Electrical, mechanical and damage self-sensing properties of basalt fiber reinforced polymer composites modified by electrophoretic deposition

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Progress in Natural science:Materials International 2023年第5期33卷 593-600页

作者： Haoming Sun Dong Xiang Jie Zhang Wei Tan Eileen Harkin-Jones Junjie Wang Menghan Wang Bin Wang Chunxia Zhao Hui Li Zhenyu Li Yuntao Li Yuanpeng Wu School of New Energy and Materials Southwest Petroleum University The Center of Functional Materials for Working Fluids of Oil and Gas Field Sichuan Engineering Technology Research Center of Basalt Fiber Composites Development and Application Southwest Petroleum University Collaborative Scientific Innovation Platform of Universities in Sichuan for Basalt Fiber Southwest Petroleum University School of Mechanical Engineering Southwest Petroleum University School of Engineering and Materials Science Queen Mary University of London School of Engineering Ulster University Department of Civil Engineering Tsinghua University College of Materials Science and Engineering Chongqing University

In this work, basalt fiber reinforced polymer(BFRP) with enhanced electrical, mechanical properties and in-situ damage self-sensing capability was prepared using carboxylic carbon nanotubes(COOH-CNTs) modified BF fabrics via electrophoretic deposition(EPD) at different voltages. The BFRP with BF fabrics modified at a deposition voltage of 20 V(EPD20-BFRP) showed the lowest electrical resistivity. Compared with unmodified BFRP, the tensile and flexual moduli of EPD20-BFRP increased by 37.5 % and 14.9 %, respectively. Single-layer EPD20-BFRP exhibited a high gauge factor(GF) of 44.3 during tensile damage self-sensing. The acoustic emission(AE) signals during tensile and flexual damage process agreed well with the relative resistance changes(RRC),which confirmed different damage stages within loading process, such as elastic deformation, damage evolution,crack coalescence, and complete fracture. In addition, the multi-layer BFRP containing a single-layer EPD20-BFRP on the upper or lower surface of laminate exhibited distinct electrical signal responses subjected to the flexural loading.

关键词： Carbon nanotubes and nanofibers Natural fibers Polymer-matrix composites (PMCs) Non-destructive testing

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Mining Fleet Management System in Real-Time "State of Art" 8th

Mining Fleet Management System in Real-Time "State of Art"

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8th International Congress on Information and Communication Technology, ICICT 2023

作者： Bnouachir, Hajar Chergui, Meriyem Zegrari, Mourad Medromi, Hicham Hassan II University Research Foundation for Development and Innovation in Science and Engineering Casablanca Morocco Hassan II University Casablanca Morocco Structural Engineering Intelligent Systems and Electrical Energy Laboratory Ecole Nationale Supérieure des Arts et Métiers University HASSAN II Casablanca Morocco

ISBN: (纸本)9789819932429

The objective of this paper is to understand real-time fleet management problems, its characteristics, and resolution approaches, examine the models and algorithms of existing mining fleet management systems to identify its limitations, and propose a new system architecture that can optimize mine production and efficiency based on real-time data processing. In this article, we outline a discussion of real-time fleet management issues, a comparison of current fleet management tools, and an examination of potential system architectures. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

关键词： Real time systems

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Thickness simulation of landfast ice along Mawson Coast,East Antarctica based on a snow/ice high-resolution thermodynamic model

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Advances in Climate Change research 2022年第3期13卷 375-384页

作者： Xin-Qing LI Feng-Ming HUI Jie-Chen ZHAO Meng-Xi ZHAI Xiao CHENG School of Geospatial Engineering and Science Sun Yat-sen Universityand Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)Zhuhai 519082China Harbin Engineering University Qingdao Graduate School Qingdao Innovation and Development Base(Center)of Harin Engineering UniversityQingdao266000China MNR Key Laboratory for Polar Science Polar Research Institute of ChinaShanghai 200136China

Landfast ice plays an important role in atmosphere‒ocean interactions and ecosystems in the near coast area of *** the characteristics and variations of landfast ice is crucial to the study of climates and field activities in *** this study,a high-resolution thermodynamic snow-ice(HIGHTSI)model was applied to simulate the seasonal changes of landfast ice along the Mawson Coast,East Antarctica,through ERA-Interim reanalysis *** ocean heat-flux(Fw)values(10,15,20 and 25 W m−2)were used in sensitivity *** results showed that it is reasonable to simulate landfast ice using the HIGHTSI model,and the simulation of landfast ice thickness matched best well with field measurements when Fw was 20 W m^(−2).Then,2-D distributions of landfast ice from 2006 to 2018 were modeled by HIGHTSI with 2-D ERA-Interim reanalysis data in a 0.125°×0.125°cell grid as external *** results showed that fast ice was thicker along the coast and thinner near open water,and usually reaches its maximal thickness in October,varying from 1.2 to 2.0 m through the study *** was no statistical trend for the thickness during the study period.

关键词： Landfast ice Modeling HIGHTSI Antarctica

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