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3rd International Conference on New Materials, Machinery, and Vehicle Engineering, NMMVE 2024

作者： Zhang, Shiwang Li, Jiazhu Yuan, Jiawei Li, Zixuan Yuan, Zheng Qin, Shaohui Zhao, Zilong Tan, Hongqiang Luo, Ruiyan Zhao, Yihe Li, Jie Gao, Wendi Li, Zhikang Zhao, Libo State Key Laboratory for Manufacturing Systems Engineering International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies Xi'an710049 China Research Institute for Intelligent Sensing Technology and System Xi'an710049 China School of Instrument Science and Technology Xi'an Jiaotong University Xi'an710049 China School of Mechanical Engineering Xi'an Jiaotong University Xi'an710049 China Shandong Laboratory of Yantai Advanced Materials and Green Manufacturing Yantai265503 China College of Mechanical and Electrical Engineering Shaanxi University of Science and Technology Xi'an710021 China

ISBN: (纸本)9781510686267

Currently, research on Micro-Electro-Mechanical Systems (MEMS) microphone dust protection meshes has predominantly focused on dust prevention capabilities, with scant attention given to acoustic performance, and there is a lack of systematic studies on the patterns of acoustic performance variation. This study utilizes finite element analysis to investigate the impact of structural parameters such as perforation radius, perforation rate, number of perforations, and perforation distribution patterns, as well as material properties like the density of the expanded-polytetrafluoroethylene (e-PTFE) membrane, on acoustic impedance and sound transmission loss. It was found that, at a constant perforation rate, a larger perforation radius results in lower acoustic impedance and sound transmission loss. This research provides a theoretical basis for the subsequent design of MEMS microphone dust protection meshes. Furthermore, an intelligent dust protection device based on metasurfaces has been proposed, which achieves an organic integration of dust prevention and sound wave control functions, and exhibits high sensitivity and robustness, laying the foundation for the development of future smart auditory technologies. © 2024 SPIE.

关键词： Acoustic impedance

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Towards smart scanning probe lithography: a framework accelerating nano-fabrication process with in-situ characterization via machine learning

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Microsystems & Nanoengineering 2023年第5期9卷 281-294页

作者： Yijie Liu Xuexuan Li Ben Pei Lin Ge Zhuo Xiong Zhen Zhang State Key Laboratory of Tribology in Advanced Equipment Department of Mechanical EngineeringTsinghua UniversityBeijing 100084China Beijing Key Laboratory of Precision/Ultra-precision Manufacturing Equipments and Control Tsinghua UniversityBeijing 100084China Biomanufacturing Center Department of Mechanical EngineeringTsinghua UniversityBeijing 100084China Biomanufacturing and Rapid Forming Technology Key Laboratory of Beijing Beijing 100084China ‘Biomanufacturing and Engineering Living Systems’Innovation International Talents Base(111 Base) Beijing 100084China NT-MDT Spectrum Instruments China office Beijing 100053China

Scanning probe lithography(SPL)is a promising technology to fabricate high-resolution,customized and costeffective features at the ***,the quality of nano-fabrication,particularly the critical dimension,is significantly influenced by various SPL fabrication techniques and their corresponding process ***,the identification and measurement of nano-fabrication features are very time-consuming and *** tackle these challenges,we propose a novel framework for process parameter optimization and feature segmentation of SPL via machine learning(ML).Different from traditional SPL techniques that rely on manual labeling-based experimental methods,the proposed framework intelligently extracts reliable and global information for statistical analysis to finetune and optimize process *** on the proposed framework,we realized the processing of smaller critical dimensions through the optimization of process parameters,and performed direct-write nano-lithography on a large ***,data-driven feature extraction and analysis could potentially provide guidance for other characterization methods and fabrication quality optimization.

关键词： lithography process characterization

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Pavement Cracks Coupled With Shadows:A New Shadow-Crack Dataset and A Shadow-Removal-Oriented Crack Detection Approach

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IEEE/CAA Journal of Automatica Sinica 2023年第7期10卷 1593-1607页

作者： Lili Fan Shen Li Ying Li Bai Li Dongpu Cao Fei-Yue Wang School of Information and Electronics Beijing Institute of TechnologyBeijing 100081China School of Civil Engineering Tsinghua UniversityBeijing 100084China School of Mechanical Engineering Beijing Institute of TechnologyBeijing 100081China State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body and the College of Mechanical and Vehicle Engineering Hunan UniversityChangsha 410082China School of Vehicle and Mobility Tsinghua UniversityBeijing 100084China State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China

Automatic pavement crack detection is a critical task for maintaining the pavement stability and driving *** task is challenging because the shadows on the pavement may have similar intensity with the crack,which interfere with the crack detection *** to the present,there still lacks efficient algorithm models and training datasets to deal with the interference brought by the *** fill in the gap,we made several contributions as ***,we proposed a new pavement shadow and crack dataset,which contains a variety of shadow and pavement pixel size *** also covers all common cracks(linear cracks and network cracks),placing higher demands on crack detection ***,we designed a two-step shadow-removal-oriented crack detection approach:SROCD,which improves the performance of the algorithm by first removing the shadow and then detecting *** addition to shadows,the method can cope with other noise ***,we explored the mechanism of how shadows affect crack *** on this mechanism,we propose a data augmentation method based on the difference in brightness values,which can adapt to brightness changes caused by seasonal and weather ***,we introduced a residual feature augmentation algorithm to detect small cracks that can predict sudden disasters,and the algorithm improves the performance of the model *** compare our method with the state-of-the-art methods on existing pavement crack datasets and the shadow-crack dataset,and the experimental results demonstrate the superiority of our method.

关键词： Automatic pavement crack detection data augmentation compensation deep learning residual feature augmentation shadow removal shadow-crack dataset

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Structure Optimization Analysis of MEMS Microphone Packaging Shell 3

Structure Optimization Analysis of MEMS Microphone Packaging...

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3rd International Conference on New Materials, Machinery, and Vehicle Engineering, NMMVE 2024

作者： Li, Jiazhu Zhang, Shiwang Qin, Shaohui Yuan, Jiawei Li, Zixuan Yuan, Zheng Zhao, Zilong Luo, Ruiyan Tan, Hongqiang Zhao, Yihe Lif, Jie Gao, Wendi Li, Zhikang Zhao, Libo State Key Laboratory for Manufacturing Systems Engineering International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies Xi'an710049 China Research Institute for Intelligent Sensing Technology and System Xi'an710049 China School of Instrument Science and Technology Xi'an Jiaotong University Xi'an710049 China School of Mechanical Engineering Xi'an Jiaotong University Xi'an710049 China Shandong Laboratory of Yantai Advanced Materials and Green Manufacturing Yantai265503 China College of Mechanical and Electrical Engineering Shaanxi University of Science and Technology Xi'an710021 China

ISBN: (纸本)9781510686267

Due to compact size, high consistency, and resistance to radio frequency interference, MEMS microphones are increasingly important in the consumer electronics market and have driven the development of intelligent applications. There is a growing demand for enhanced performance in MEMS microphones. Currently, research on the shell design of MEMS microphones is relatively shallow, often only considering the accommodation of the vibrating diaphragm and ASIC chip, as well as the minimization of volume, without focusing on the impact of the shell configuration on the microphone's acoustic performance. Therefore, this paper starts from the perspective of optimizing acoustic response and studies the impact of the packaging shell configuration and design parameters of MEMS microphones on the microphone's sensitivity and frequency response, including the sound collection hole diameter, chamber volume, and chip layout. The goal is to establish a quantitative relationship between these key parameters and the microphone's performance. Simulation software was used to simulate the acoustic characteristics of the microphone shell, and optimal design parameters were recommended based on the simulation results. In addition, the research also proposes methods to adjust the frequency response of the microphone within the target frequency range, providing a reference direction for the scientific design of the shell structure to reduce the transmission loss of acoustic energy and enhance response sensitivity. © 2024 SPIE.

关键词： Shells (structures)

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Theoretical and experimental study of amorphization and lattice transformation of pure magnesium by ultra-precision cutting method

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Journal of Magnesium and Alloys 2025年

作者： He, Chunlei Wang, Shuqi Xia, Siyu Ren, Chengzu Tianjin Key Laboratory of Equipment Design and Manufacturing Technology Tianjin University Tianjin300354 China Tianjin Key Laboratory of the Design and Intelligent Control of the Advanced Mechatronical System Tianjin University of Technology Tianjin300384 China

Pure magnesium is a very promising material in the fields of biomedical and engineering. Obtaining pure magnesium with superior mechanical properties has consistently been a significant challenge in the area of materials science. This study focuses on investigating the processing method and strengthening mechanism of pure magnesium by ultra-precision cutting. The research results show that the pure magnesium grains were significantly refined after ultra-precision cutting. The average grain size reduced from ∼24 µm to nanometers, and the average nano-hardness increased from 1.02 GPa to 2.82 GPa. Amorphous pure magnesium structure and body-centered cubic (BCC) lattice pure magnesium were reported. Molecular dynamics (MD) simulation confirmed that the high shear strain and hydrostatic pressure during ultra-precision cutting was the origin of amorphization and lattice transformation. The amorphous phase and a significant number of long-period stacking-ordered (LPSO) phases inside the pure magnesium were responsible for the high hardness after ultra-precision cutting. © 2025

关键词： Shear strain

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Metal-Organic Framework-Derived Metallic Carbon with Record High Radon Gas Capture Performance

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CCS Chemistry 2024年第7期6卷 1789-1797页

作者： Shicheng Gong Yi Tao Lixi Chen Qiuting Xu Junhao Lu Fuyin Ma Xia Wang Guodong Li Jun Wan Guoxun Ji Linfeng He Xiaohui Yu Duo Zhang Xuhui Sun Zhifang Chai Shuao Wang State Key Laboratory of Radiation Medicine and Protection School for Radiological and Interdisciplinary Sciences(RAD-X)and Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education InstitutionsSoochow UniversitySuzhou 215123 Institute of Functional Nano&Soft Materials Laboratory(FUNSOM) Jiangsu Key Laboratory for Carbon-Based Functional Materials and DevicesJiangsu Key Laboratory of Advanced Negative Carbon TechnologiesSoochow UniversitySuzhou 215123 School of Environment and Material Engineering Yantai UniversityYantai 264005 Xi’an Research Institute of Hi-Technology Hong Qing TownXi’an 710025 Shanghai Institute of Measurement and Testing Technology Shanghai 201203 Engineering Institute of Advanced Manufacturing and Modern Equipment Technology Jiangsu UniversityZhenjiang 212013

Developing efficient adsorbents for radon(Rn)capture from the ambient environment is of paramount importance for public ***,it poses a great challenge due to the chemical inertness and extremely low molar concentration of Rn in ***,we report a zeolite imidazolate frameworkderived metallic carbon adsorbent(Zn@NPC)with record high Rn removal performance under ambient *** one-step pyrolysis,the prepared Zn@NPC possesses pores with a preference for Rn and atomically dispersed Zn sites,achieving a high Rn removal efficiency that doubles in adsorption coefficient(9.47 L·g^(−1))and triples in adsorption kinetic coefficient(20.25 mL·g^(−1)·min^(−1))over the benchmark Rn adsorbent coconut activated *** functional theory calculations elucidate the important role of the metal polarization effect,which cooperates with the pore size confinement effect to boost the overall Rn adsorption *** work launches a promising alternative for practical Rn capture.

关键词： radon removal metal-organic frameworks microporous carbon synergistic effect dynamic adsorption

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Grip strength forecast and rehabilitative guidance based on adaptive neural fuzzy inference system using sEMG

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Personal and Ubiquitous Computing 2022年第4期26卷 1215-1224页

作者： Jiang, Du Li, Gongfa Sun, Ying Kong, Jianyi Tao, Bo Chen, Disi Key Laboratory of Metallurgical Equipment and Control Technology Ministry of Education Wuhan University of Science and Technology Wuhan430081 China Institute of Precision Manufacturing Wuhan University of Science and Technology Wuhan University of Science and Technology Wuhan430081 China Research Center for Biomimetic Robot and Intelligent Measurement and Control Wuhan University of Science and Technology Wuhan430081 China Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering Wuhan University of Science and Technology Wuhan430081 China School of Computing University of Portsmouth PortsmouthPO1 3HE United Kingdom

In order to resolve the problem of unstable control of force in human–computer interaction based on surface EMG signals, the adaptive neural fuzzy inference system is designed to achieve the grip strength assessment. As we know, the acquisition of surface EMG signal is non-invasive, which provides a better evaluation index for rehabilitation training in the medical process. By establishing the relationship between grip force and surface electromechanical signals, the effect of rehabilitation training can be evaluated directly while reducing the types of sensors used. Firstly, the experimental equipment are introduced, which are utilized to carry out simultaneous acquisition of surface EMG signals and forces. Then, the traditional features of sEMG and the corresponding algorithms are illustrated, based on this, supplementing the energy eigenvalue with wavelet analysis and fuzzy entropy. In which, fuzzy entropy is effective in characterizing muscle fatigue that can effectively reduce the impact of muscle fatigue on force assessment. Finally, combining fuzzy logic implication and neural network, the adaptive neural fuzzy inference system is designed, which is trained by extracted feature vectors. The experimental result shows the method used in this paper can effectively predict the grip force. Further, force prediction based on sEMG can be used to guide rehabilitation therapy in virtual space, combined with an electrical stimulator. © 2019, Springer-Verlag London Ltd., part of Springer Nature.

关键词： Eigenvalues and eigenfunctions

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Engineered AAV13 variants with enhanced transduction and confined spread

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Zoological Research 2024年第4期45卷 781-790页

作者： Neng-Song Luo Yu-Xiang Cai Zeng-Peng Han Xiao-Kai Sui Wen-Jia Yuan Zi-Lian Zhang Hao-Dong Guo Jie Wang Kun-Zhang Lin Fu-Qiang Xu Wuhan National Laboratory for Optoelectronics Huazhong University of Science and TechnologyWuhanHubei 430074China Shenzhen Key Laboratory of Viral Vectors for Biomedicine Shenzhen-Hong Kong Institute of Brain ScienceShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdong 518055China Key Laboratory of Magnetic Resonance in Biological Systems State Key Laboratory of Magnetic Resonance and Atomic and Molecular PhysicsNational Center for Magnetic Resonance in WuhanInnovation Academy for Precision Measurement Science and TechnologyChinese Academy of SciencesWuhanHubei 430071China Key Laboratory of Quality Control Technology for Virus-Based Therapeutics Guangdong Provincial Medical Products AdministrationNMPA Key Laboratory for Research and Evaluation of Viral Vector Technology in Cell and Gene Therapy Medicinal ProductsBrain Cognition and Brain Disease InstituteShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdong 518055China University of Chinese Academy of Sciences Beijing 100049China Zhongnan Hospital Wuhan UniversityWuhanHubei 430072China Brain Case Biotechnology Co. Ltd.ShenzhenGuangdong 518107China College of Life Sciences Wuhan UniversityWuhanHubei 430072China Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of SciencesShanghai 200031China

Precise targeting of specific regions within the central nervous system(CNS)is crucial for both scientific research and gene therapy in the context of brain ***-associated virus 13(AAV13)is known for its restricted diffusion range within the CNS,making it an ideal choice for precise labeling and administration within small brain ***,AAV13 mediates relatively low expression of target ***,we introduced specifically engineered modifications to the AAV13 capsid protein to enhance its transduction *** first constructed AAV13-YF by mutating tyrosine to phenylalanine on the surface of the AAV13 *** then inserted the 7m8 peptide,known to enhance cell transduction,into positions 587/588 and 585/586 of the AAV13 capsid,resulting in two distinct variants named AAV13-587-7m8 and AAV13-585-7m8,*** found that AAV13-YF exhibited superior in vitro infectivity in HEK293T cells compared to AAV13,while AAV13-587-7m8 and AAV13-585-7m8 showed enhanced CNS infection capabilities in C57BL/6 mice,with AAV13-587-7m8 infection retaining a limited spread *** modified AAV13 variants hold promising potential for applications in gene therapy and neuroscience research.

关键词： Adeno-associated virus 13 AAV13-YF AAV13-587-7m8 AAV13-585-7m8 transduction efficiency

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Temperature and strain sensitivities of surface and hybrid acoustic wave Brillouin scattering in optical microfibers

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Chinese Physics B 2022年第9期31卷 333-339页

作者： Yi Liu Yuanqi Gu Yu Ning Pengfei Chen Yao Yao Yajun You Wenjun He Xiujian Chou Taiyuan University of Technology Key Laboratory of Advanced Transducers and Intelligent Control SystemMinistry of Education and Shanxi ProvinceTaiyuan 030024China Taiyuan University of Technology Institute of Optoelectronic EngineeringCollege of Physics and OptoelectronicsTaiyuan 030024China Strong Digital Technology Co. Ltd.(Thinvent)Nanchang 410000China North University of China Key Laboratory of Instrumentation Science and Dynamic Measurement Ministry of EducationTaiyuan 030051China North University of China College of Mechatronics EngineeringTaiyuan 030051China North University of China Science and Technology on Electronic Test and Measurement LaboratorySchool of Instrument and ElectronicsTaiyuan 030051China

Temperature and strain sensitivities of surface acoustic wave(SAW)and hybrid acoustic wave(HAW)Brillouin scat-tering(BS)in 1μm-1.3μm diameter optical microfibers are *** contrast to stimulated Brillouin scattering(SBS)from bulk acoustic wave in standard optical fiber,SAW and HAW BS,due to SAWs and HAWs induced by the coupling of longitudinal and shear waves and propagating along the surface and core of microfiber respectively,facilitate innovative detection in optical microfibers *** highest temperature and strain sensitivities of the hybrid acoustic modes(HAMs)are 1.082 MHz/℃and 0.0289 MHz/με,respectively,which is suitable for microfiber sensing applica-tion of high temperature and strain ***,the temperature and strain sensitivities of the SAMs are less affected by fiber diameter changes,ranging from 0.05 MHz/℃/μm to 0.25 MHz/℃/μm and 1×10^(-4) MHz/με/μm to 5×10^(-4) MHz/με/μm,*** can be found that that SAW BS for temperature and strain sensing would put less stress on manufacturing constraints for optical ***,the simultaneous sensing of temperature and strain can be realized by SAW and HAW BS,with temperature and strain errors as low as 0.30℃-0.34℃and 14.47με-16.25με.

关键词： Brllouin scatering surface acoustic waves hybrid acoustic waves optical microfiber sensing

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SE-COTR: A Novel Fruit Segmentation Model for Green Apples Application in Complex Orchard

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Plant Phenomics 2022年第1期4卷 12-25页

作者： Zhifen Wang Zhonghua Zhang Yuqi Lu Rong Luo Yi Niu Xinbo Yang Shaoxue Jing Chengzhi Ruan Yuanjie Zheng Weikuan Jia School of Information Science and Engineering Shandong Normal UniversityJinan 250358China State Key Laboratory of Biobased Materials and Green Papermaking Qilu University of Technology(Shandong Academy of Science)Jinan 25035China School of Informatics University of LeicesterLeicester LE17RHUK Department of Engineering Design and Mathematics University of the West of EnglandBristol BS161QYUK Fujian Key Laboratory of Intelligent Control and Manufacturing of Agricultural Machinery Wuyishan 354300China Key Laboratory of Facility Agriculture Measurement and Control Technology and Equipment of Machinery Industry Jiangsu UniversityZhenjiang 212013China

Because of the unstructured characteristics of natural orchards,the efficient detection and segmentation applications of green fruits remain an essential challenge for intelligent ***,an innovative fruit segmentation method based on deep learning,termed SE-COTR(segmentation based on coordinate transformer),is proposed to achieve accurate and real-time segmentation of green apples.

关键词： Application segmentation Complex

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