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4th International Conference on Energy Engineering and Power Systems, EEPS 2024

作者： Xiong, Chengfeng Du, Xiaofang Lu, Miaoxian Wuhan University of Technology Wuhan China Hubei Provincial Key Laboratory of Modern Automotive Components Technology Wuhan China Hubei Normal University Huangshi China

ISBN: (纸本)9798350366914

In the current design and manufacturing process of electric vehicles, battery thermal management has become a key and challenging aspect, as the capacity of electric vehicle battery packs continues to increase and the energy density of battery cells becomes higher. This article proposes a lithium-ion battery thermal management system based on immersion cooling coupled with phase change materials (PCM). The innovative thermal management analysis is conducted on the novel prismatic 4090 battery, comparing natural convection cooling with forced air cooling under the same environmental conditions and discharge rates. Compared to natural convection cooling, the immersion cooling coupled with PCM reduces the highest battery temperature by 7-8°C at higher discharge rates, and also exhibits better temperature uniformity compared to traditional forced air cooling, with a reduction of approximately 30% in maximum temperature difference. Furthermore, the adaptability of this thermal management system to discharge rates is simulated and verified, indicating that as the discharge rate increases, the highest battery temperature and temperature difference also increase with the adoption of this thermal management system, but without experiencing battery overheating phenome © 2024 IEEE.

关键词： Natural convection

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An end-to-end instance segmentation method based on improved ConvNeXt V2

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International Journal of Wireless and Mobile Computing 2024年第4期26卷 384-392页

作者： Wang, Wenlu Sun, Ying Xu, Manman Bai, Dongxu Huang, Li Zou, Chunlong Chen, Baojia Tang, Dalai Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education Wuhan University of Science and Technology Hubei Wuhan China Research Centre for Biomimetic Robot and Intelligent Measurement and Control Wuhan University of Science and Technology Hubei Wuhan China Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering Wuhan University of Science and Technology Hubei Wuhan China College of Computer Science and Technology Wuhan University of Science and Technology Hubei Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and Technology Hubei Wuhan China College of Mechanical Engineering Hubei University of Automotive Technology Hubei Shiyan China Hubei Key Laboratory of Hydroelectric Machinery Design and Maintenance China Three Gorges University Hubei Yichang China School of Computer Information Management Inner Mongolia University of Finance and Economics Hohhot China

In order to improve the efficiency of indoor mobile robots in locating and segmenting environmental instances, an instance segmentation method based on RTMDet is proposed. Firstly, the more powerful ConvNeXt V2 is used as the backbone network of the model, which improves the performance of the existing RTMDet model. Subsequently, NAS-FPN is used as a converged network to detect the network at any given time. Finally, AdamW is used as the model optimiser, which effectively solves the problem of excessive memory occupation when updating parameters and improves the performance of the model. The proposed method obtains the highest evaluation index in all cases. After training and testing on the Cityscapes data set, the recognition accuracy reaches 65.0%. © 2024 Inderscience Enterprises Ltd.

关键词： Statistical tests

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Review of recent advances in ferrite-based materials:From synthesis techniques to electromagnetic wave absorption performance

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International Journal of Minerals,Metallurgy and Materials 2025年第3期32卷 591-608页

作者： Xingliang Chen Di Lan Luoting Zhou Hailing Liu Xiyu Song Shouyu Wang Zhuanyong Zou Guanglei Wu Shaoxing Key Laboratory of High Performance Fibers&Products Key Laboratory of Clean Dyeing and Finishing Technology of Zhejiang ProvinceShaoxing UniversityShaoxing 312000China School of Materials Science and Engineering Hubei University of Automotive TechnologyShiyan 442002China Chinatesta(Zhejiang)Testing Services Co. Ltd.Shaoxing 312000China Institute of Materials for Energy and Environment State Key Laboratory of Bio-fibers and Eco-textilesCollege of Materials Science and EngineeringQingdao UniversityQingdao 266071China

With the booming development of electronic information science and 5G communication technology,electromagnetic radi-ation pollution poses a huge threat and damage to *** novel and high-performance electromagnetic wave(EMW)ab-sorbers is an effective method to solve the above issue and has attracted the attention of many *** a typical magnetic material,ferrite plays an important role in the design of high-performance EMW absorbers,and related research focuses on diversified synthesis methods,strong absorption performance,and refined microstructure ***,we focus on the synthesis of ferrites and their composites and introduce recent advances in the high-temperature solid-phase method,sol-gel method,chemical coprecipitation method,and solvent thermal method in the preparation of high-performance EMW *** review aims to help researchers understand the advantages and disadvantages of ferrite-based EMW absorbers fabricated through these *** also provides important guidance and reference for researchers to design high-performance EMW absorption materials based on ferrite.

关键词： ferrite electromagnetic wave absorber sol-gel method magnetic material solvent thermal method

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Simulation Analysis of Conductive Carbon Black and Hydrogen Prepared by Partial Oxidation of Benzene-Doped Acetylene 3

Simulation Analysis of Conductive Carbon Black and Hydrogen ...

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3rd International Conference on Energy Engineering and Power Systems, EEPS 2023

作者： Lu, Hongyue Wei, Mingrui Wuhan University of Technology Hubei Provincial Key Laboratory of Modern Auto Parts Technology Wuhan China Wuhan University of Technology Automotive Parts Technology Hubei Collaborative Innovation Center Wuhan University of Technology Wuhan China

ISBN: (纸本)9798350313857

Whether the hydrocarbon reaction is sufficient during the preparation of carbon black is a key issue in the production design stage. In this paper, acetylene and benzene are used as raw materials, and oxygen is used as oxidant to prepare carbon black and hydrogen by oxidative cracking. The addition of oxygen is to burn some raw materials to provide heat for the reactor. The simulation was carried out under the energy balance inlet flow rate of acetylene / benzene / oxygen at 8:30:8(m/s). It was found that there were still some benzene and oxygen in the reaction furnace, so the simulation under the energy balance conditions of8:28:6.2(m/s), 8:26:4.5(m/s) and 8:24:2.8(m/s) was added. The results show that the conversion rates of carbon black and hydrogen under these four conditions are higher than 50%. Under the condition of 8:30:8(m/s), the conversion rate of carbon black and hydrogen is slightly lower than that of the other three conditions. In addition, it was found that under the condition of 8:24:2.8(m/s), the average temperature of the cracking section was higher, the yield of carbon black and hydrogen was higher, and the cracking effect was better. This shows that under the energy balance intake condition, appropriately reducing the intake flow rate of benzene and oxygen will make the reaction more sufficient and more conducive to improving the reaction efficiency. © 2023 IEEE.

关键词： Carbon black

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Green synthesis of luminescent La-MOF nanoparticle from waste poly(ethylene terephthalate) for high-performance in Fe(Ⅲ) detection

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Rare Metals 2024年第8期43卷 3833-3843页

作者： Zhi Gong Zhi-Kui Dai Zhi-Yue Dong Qiu-Xuan Liu Valentin A.Milichko Hua-Jian Liu Jie Liu Ran Niu Jiang Gong Key Laboratory of Material Chemistry for Energy Conversion and Storage Hubei Key Laboratory of Material Chemistry and Service FailureHubei Engineering Research Center for Biomaterials and Medical Protective MaterialsSemiconductor Chemistry CenterSchool of Chemistry and Chemical EngineeringMinistry of EducationHuazhong University of Science and TechnologyWuhan 430074China School of Chemical Engineering and Pharmacy Wuhan Institute of TechnologyWuhan 430073China Collaborative Innovation Center for Advanced Organic Chemical Materials Co-constructed by the Province and Ministry Ministry of Education Key Laboratory for the Synthesis and Application of Organic Functional Molecules and College of Chemistry and Chemical EngineeringHubei UniversityWuhan 430062China School of Physics and Engineering ITMO UniversitySt.Petersburg197101Russia School of Materials Science and Engineering Hubei UniversityWuhan430062China Guangdong Provincial Key Laboratory of Technique and Equipment for Macromolecular Advanced Manufacturing School of Mechanical and Automotive EngineeringKey Laboratory of Polymer Processing EngineeringMinistry of EducationSouth China University of TechnologyGuangzhou 510641China

Developing luminescent metal-organic frameworks(MOFs) capable of high-efficiency Fe^(3+)sensing has aroused great attraction in the fields of biology,chemistry,***,previous solvothermal methods are limited by organic solvent usage,time consuming,high pressure,and high-energy ***,we propose the waste-toMOF strategy towards the scale-up production of La-MOF nanoparticles through the ball milling of recycled poly(-ethylene terephthalate)(PET) bottles and La(NO_(3))_(3)·_(6)H_(2)*** goes on alkaline hydrolysis to form 1,4-benzenedicarboxylic acid sodium salt(Na_(2)BDC) and ethylene glycol by ball ***,BDC reacts with La^(3+)to form *** as-prepared La-MOF crystal nanoparticles possess a rod-like morphology with the size of few hundred ***,La-MOF nanoparticles display high selectivity and sensitivity for Fe^(3+)*** quenching constant and limit of detection are 5.29×10^(3)(mol·L^(-1))^(-1) and 0.147 μmol·L^(-1),respectively,thus surpassing many advanced Fe^(3+) *** to the result of density functional theory,the high Fe^(3+) detection performance of La-MOF is related to the complexing of Fe^(3+)with La-MOF,which leads to the gradual dissociation of the coordination bond between terephthalic acid and La^(3+).It is anticipated that the mechanochemistry milling-based wasteto-MOF strategy provides a new platform for the massive production of functional MOFs in a green manner.

关键词： Metal-organic framework Waste polyester Mechanochemistry milling Fluorescence sensor

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Self-powered sensor based on compressible ionic gel electrolyte for simultaneous determination of temperature and pressure

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InfoMat 2024年第7期6卷 62-75页

作者： Junjie Zou Yanan Ma Chenxu Liu Yimei Xie Xingyao Dai Xinhui Li Shuxuan Li Shaohui Peng Yang Yue Shuo Wang Ce-Wen Nan Xin Zhang State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Center of Smart Materials and Devices&International School of Materials Science and EngineeringWuhan University of TechnologyWuhanthe People's Republic of China Hubei Key Laboratory of Energy Storage and Power Battery School of MathematicsPhysics and Optoelectronic EngineeringHubei University of Automotive TechnologyShiyanthe People's Republic of China Information Materials and Intelligent Sensing Laboratory of Anhui Province Key Laboratory of Structure and Functional Regulation of Hybrid Materials of Ministry of EducationInstitutes of Physical Science and Information TechnologyAnhui UniversityHefeithe People's Republic of China State Key Lab of New Ceramics and Fine Processing School of Materials Science and EngineeringTsinghua UniversityBeijingthe People's Republic of China

The simultaneous detection of multiple stimuli,such as pressure and temperature,has long been a persistent challenge for developing electronic skin(eskin)to emulate the functionality of human ***,the demand for integrated power supply units is an additional pressing concern to achieve its lightweightness and ***,we propose a self-powered dual temperature–pressure(SPDM)sensor,which utilizes a compressible ionic gel electrolyte driven by the potential difference between MXene and Al *** SPDM sensor exhibits a rapid and timely response to changes in pressure-induced deformation,while exhibiting a slow and hysteretic response to temperature *** distinct response characteristics enable the differentiation of current signals generated by different stimuli through machine learning,resulting in an impressive accuracy rate of 99.1%.Furthermore,the developed SPDM sensor exhibits a wide pressure detection range of 0–800 kPa and a broad temperature detection range of 5–75C,encompassing the environmental conditions encountered in daily human *** dual-mode coupled strategy by machine learning provides an effective approach for temperature and pressure detection and discrimination,showcasing its potential applications in wearable electronics,intelligent robots,human–machine interactions,and so on.

关键词： e-skin gel electrolyte machine learning self-powered dual-mode sensor

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Single-cell transcriptome analysis dissects lncRNA-associated gene networks in Arabidopsis

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Plant Communications 2024年第2期5卷 94-105页

作者： Zhaohui He Yangming Lan Xinkai Zhou Bianjiong Yu Tao Zhu Fa Yang Liang-Yu Fu Haoyu Chao Jiahao Wang Rong-Xu Feng Shimin Zuo Wenzhi Lan Chunli Chen Ming Chen Xue Zhao Keming Hu Dijun Chen State Key Laboratory of Pharmaceutical Biotechnology School of Life SciencesNanjing UniversityNanjing 210023China Department of Bioinformatics College of Life SciencesZhejiang UniversityHangzhou 310058China Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Key Laboratory of Plant Functional Genomics of the Ministry of Education College of AgricultureYangzhou UniversityYangzhou 225009China Co-Innovation Center for Modern Production Technology of Grain Crops of Jiangsu Province/Key Laboratory of Crop Genetics and Physiology of Jiangsu Province Yangzhou UniversityYangzhou 225009China Zhejiang Zhoushan High School Zhoushan 316099China National Key Laboratory for Germplasm Innovation and Utilization for Fruit and Vegetable Horticultural Crops Hubei Hongshan LaboratoryWuhan 430070China

The plant genome produces an extremely large collection of long noncoding RNAs(lncRNAs)that are generally expressed in a context-specific manner and have pivotal roles in regulation of diverse biological ***,we mapped the transcriptional heterogeneity of lncRNAs and their associated gene reg-ulatory networks at single-cell *** generated a comprehensive cell atlas at the whole-organism level by integrative analysis of 28 published single-cell RNA sequencing(scRNA-seq)datasets from juvenile Arabidopsis *** then provided an in-depth analysis of cell-type-related lncRNA signatures that show expression patterns consistent with canonical protein-coding gene *** further demon-strated that the cell-type-specific expression of lncRNAs largely explains their tissue *** addi-tion,we predicted gene regulatory networks on the basis of motif enrichment and co-expression analysis of lncRNAs and mRNAs,and we identified putative transcription factors orchestrating cell-type-specific expression of *** analysis results are available at the single-cell-based plant lncRNA atlas data-base(scPLAD;https://***/scPLAD/).Overall,this work demonstrates the power of inte-grative single-cell data analysis applied to plant lncRNA biology and provides fundamental insights into lncRNA expression specificity and associated gene regulation.

关键词： single-cell transcriptomics long noncoding RNAs lncRNAs gene regulatory networks GRNs plants

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Full coverage path planning for multiple farming machines based on an improved A* algorithm 4

Full coverage path planning for multiple farming machines ba...

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4th International Conference on Electronic Information and Communication Engineering, EICE 2025

作者： Yang, Yufei Meng, Zhenghua Guo, Wei Ma, Jinbo School of Automotive Engineering WHUT Wuhan430070 China Black Sesame Intelligent Technology Co. LTD. Wuhan430080 China Hubei Key Laboratory of Modern Auto Parts Technology Wuhan430070 China Hubei Collaborative Innovation Center of Auto Parts Technology Wuhan430070 China

The global agriculture industry, facing labor shortages and the need for enhanced production efficiency, turns to unmanned farm machinery as a solution. This study addresses the critical issue of path planning and scheduling for these machines, which often suffer from insufficient coverage, high duplication, and energy consumption when encountering large obstacles in the field. By integrating regional division and an improved A-Star algorithm, the research facilitates full coverage traversal within divided regions and explores the coordinated operation of multiple unmanned agricultural machinery units. The method achieves a 100% coverage rate and reduces operation time by 14.37%, significantly improving efficiency and coverage while lowering duplication rates, and demonstrating promising engineering application prospects in the field of agricultural automation. © 2025 Institute of Physics Publishing. All rights reserved.

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Rational construction of heterointerfaces in biomass sugarcane-derived carbon for superior electromagnetic wave absorption

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International Journal of Minerals,Metallurgy and Materials 2024年第12期31卷 2749-2759页

作者： Shijie Zhang Di Lan Jiajun Zheng Ailing Feng Yaxing Pei Shichang Cai Suxuan Du Xingliang Chen Guanglei Wu Zirui Jia Key Laboratory of Clean Dyeing and Finishing Technology of Zhejiang Province Shaoxing Key Laboratory of High Performance Fibers&ProductsShaoxing UniversityShaoxing 312000China School of Materials Science and Engineering Hubei University of Automotive TechnologyShiyan 442002China School of Material Science and Engineering Henan University of TechnologyZhengzhou 450001China Institute of Physics&Optoelectronics Technology Baoji University of Arts and SciencesBaoji 721016China Zhengzhou Research Institute for Abrasives and Grinding Zhengzhou 450002China Institute of Materials for Energy and Environment State Key Laboratory of Bio-fibers and Eco-textilesCollege of Materials Science and EngineeringQingdao UniversityQingdao 266071China

The pervasive adoption of 5th generation mobile communication technology propels electromagnetic wave(EW)absorbents to achieve high-level *** heterointerface construction is crucial to the improvement of absorption ***,a series of ultralight composites with rational heterointerfaces(Co/ZnO@N-doped C/layer-stacked C,MSC)is fabricated by calcination with ration-al construction of sugarcane and CoZn-zeolitic imidazolate framework(ZIF).The components and structures of as-prepared composites were investigated,and their electromagnetic parameters could be adjusted by the content of *** composites possess excellent EW absorption performance,especially *** optimal minimum reflection loss and effective absorption band of MSC-3 can reach−42 dB and 7.28 GHz at the thickness of only 1.6 mm with 20wt%filler *** excellent performance is attributed to the syner-gistic effect of dielectric loss stemming from the multiple heterointerfaces and magnetic loss induced by magnetic single *** sugar-cane-derived layer-stacked carbon has formed consecutive conductive networks and has further dissipated the electromagnetic energy through multiple reflection and conduction ***,the simulated radar cross section(RCS)technology manifests that MSC-3 possesses outstanding EW attenuation capacity under realistic far-field *** study provides a strategy for building efficient ab-sorbents based on biomass.

关键词： sugarcane-derived carbon heterointerfaces bimetallic metal-organic frameworks EW absorption radar cross section

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Fingerprint Matching Method Based on Ant Colony Algorithm

Fingerprint Matching Method Based on Ant Colony Algorithm

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2022 International Conference on Electronics technology and Artificial Intelligence, ETAI 2022

作者： Qiao, Weigao Zhang, Jianzhong Yuan, Fei School of Automotive Engineering Wuhan University of Technology Hubei Wuhan China Hubei Key Laboratory of Modern Automotive Parts Technology Hubei Wuhan China School of Intelligent Manufacturing Wuhan Huaxia Institute of Technology Hubei Wuhan China

Based on previous research, this paper proposes a model and implementation of large-scale fingerprint image retrieval. In the retrieval, the C-means clustering method is used to quickly retrieve fingerprint images, and the shortest path algorithm is used to achieve effective matching fingerprints, and finally, the fingerprints with a higher matching rate are obtained, thereby realizing rapid retrieval and matching of fingerprint IDs. The matching fingerprint minutiae features are analyzed, a retrieval method that can be used for fast fingerprint retrieval is given, and the principle of the method is expounded. The algorithm is used to filter and remove the pseudo-feature points of all fingerprints and is used to calculate the similarity between all minutiae operators. Then the operator with the highest similarity is selected, and the corresponding minutiae pair is used as the registration point pair to complete the two minutiae registration transformation of the point set. And finally, the pairing relationship of minutiae points is established. After that, the time complexity and space complexity of the selected retrieval method is analyzed. All fingerprint pairs with the "identical"relationship provided in the data file are used as query images to verify the retrieval method in the fingerprint dataset. The shortcomings and deficiencies of this method are pointed out, and other ways to solve this problem are introduced. © Published under licence by IOP Publishing Ltd.

关键词： Ant colony optimization

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