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Mechanical properties and microstructure evolution of T2 copper in multimodal ultrasonic vibration assisted micro-compression

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材料科学技术（英文版） 2025年第5期208卷 152-163页

作者： Weiqiang Wan Zidong Yin Guangchao Han Ming Yang Jitao Hu Fuchu Liu Linhong Xu Wei Bai Hui Chen School of Mechanical Engineering and Electronic Information China University of GeosciencesWuhan 430074China Graduate School of System Design Tokyo Metropolitan UniversityTokyo 191-0065Japan Graduate School of System Design Tokyo Metropolitan UniversityTokyo 191-0065Japan School of Mechanical Engineering and Electronic Information China University of GeosciencesWuhan 430074China Shenzhen Research Institute China University of GeosciencesShenzhen 518057China State Key Laboratory of Solidification Processing Northwestern Polytechnical UniversityXi'an 710072China School of Mechanical Engineering and Electronic Information China University of GeosciencesWuhan 430074China School of Mechanical Engineering and Electronic Information China University of GeosciencesWuhan 430074China Shenzhen Research Institute China University of GeosciencesShenzhen 518057China School of Mechanical Engineering and Electronic Information China University of GeosciencesWuhan 430074China Shenzhen Research Institute China University of GeosciencesShenzhen 518057China Shenzhen Huazhong University of Science and Technology Research Institute Shenzhen 518000China State Key Laboratory of Solidification Processing Northwestern Polytechnical UniversityXi'an 710072China

Multimodal ultrasonic vibration(UV)assisted micro-forming has been widely investigated for its advan-tages of further reducing forming loads and improving forming ***,the influence mecha-nism of different UV modes on microstructure evolution and mechanical properties was still ***-timodal UV assisted micro-compression tests on T2 copper with different grains and sample sizes were conducted in this *** microstructure evolution for different UV modes was observed by *** results showed that the true stress reduction caused by UV was increased sequentially with tool ultrasonic vibration(TV),mold ultrasonic vibration(MV)and compound ultrasonic vibration(CV).The region of grain deformation was shifted along the direction of UV,and the MV promoted the uniform distribution of deformation *** grain refinement,fiber streamline density,grain deformation and rotation degree were further enhanced under CV,due to the synergistic effect of TV and ***,a coupled theoretical model considering both acoustic softening effect and size effect was proposed for describing the mechanical *** a physical model of dislocation motion in different UV modes was developed for describing the microstructure *** maximum error between the theoretical and experimental results was only 2.39％.This study provides a theoretical basis for the optimization of UV assisted micro-forming process.

关键词： Multimodal ultrasonic vibration Microstructure evolution Acoustic softening Size effect Coupling mechanism

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Anti-Windup Active Power Control for Wind Turbines Considering Loads Reduction 13

Anti-Windup Active Power Control for Wind Turbines Consideri...

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13th IEEE Data Driven Control and Learning systems Conference, DDCLS 2024

作者： Wang, Guozhong Luo, Hao Jiao, Xuguo Yang, Zhibo Zhao, Xinxin School of Information and Control Engineering Qingdao University of Technology Qingdao266520 China College of Control Science and Engineering Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou310027 China

ISBN: (纸本)9798350361674

In recent years, the proportion of wind power in electricity contribution is increasing, and wind power generation technology has developed rapidly. How to enhance the stability of wind turbine systems and extend their service life are still challenging problems due to uncertain and intermittent characteristics of natural wind. In order to ensure that variable speed wind turbines track the active power instructions released by the power system, an improved anti-windup rotor speed control strategy is designed to switch different control strategies according to the wind turbine rotor speed value, with the aim of optimizing the mechanical loads of pitch systems. Firstly, in the low wind speed region, the maximum wind energy capture is achieved by optimal torque control. When the rotor speed increases to a critic value, torque control determined by the turbine's rated output power and rotor speed is adopted. In the high wind speed region, the pitch controller is used to adjust the wind energy capture coefficient to maintain the rotor speed at its rated value. Moreover, in order to solve the problem of integral saturation in traditional rotor speed control methods, this paper proposes a bounded constraints assisted Proportional-Integral (PI) pitch angle control scheme to optimize the operation of pitch system. This control method can effectively eliminates integral saturation, mitigate fatigue loads of wind turbines, reduces overshoot of rotor speed and ensures safe and stable operation of wind turbines. Finally, the proposed method is simulated on OpenFAST platform to verify its advancement. © 2024 IEEE.

关键词： Wind turbines

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Precision integration of grating-based polarizers onto focal plane arrays of near-infrared photovoltaic detectors for enhanced contrast polarimetric imaging

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International Journal of Extreme Manufacturing 2021年第3期3卷 95-102页

作者： Bo Feng Yifang Chen Duo Sun Zongyao Yang Bo Yang Xue Li Tao Li Nanolithography and Application Research Group State Key Laboratory of ASIC and SystemSchool of Information Science and TechnologyFudan UniversityShanghai 200433People’s Republic of China State Key Laboratories of Transducer Technology Shanghai Institute of Technical PhysicsChinese Academy of SciencesShanghai 200083People’s Republic of China

Polarimetric imaging enhances the ability to distinguish objects from a bright background by detecting their particular polarization status,which offers another degree of freedom in infrared remote ***,to scale up by monolithically integrating grating-based polarizers onto a focal plane array(FPA)of infrared detectors,fundamental technical obstacles must be overcome,including reductions of the extinction ratio by the misalignment between the polarizer and the detector,grating line width fluctuations,the line edge roughness,*** paper reports the authors’latest achievements in overcoming those problems by solving key technical issues regarding the integration of large-scale polarizers onto the chips of FPAs with individual indium gallium arsenide/indium phosphide(In Ga As/In P)sensors as the basic building *** and photovoltaic chips with divisions of the focal plane of 540×4 pixels and 320×256 superpixels have been successfully *** imaging with enhanced contrast has been *** progress made in this work has opened up a broad avenue toward industrialization of high quality polarimetric imaging in infrared wavelengths.

关键词： polarimetric imaging grating based polarizer InGaAs/InP focal plane array nanofabrication

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Learning to Cluster Person in the Video via Graph Convolution Network 13

Learning to Cluster Person in the Video via Graph Convolutio...

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13th International Conference on information technology in Medicine and Education, ITME 2023

作者： Li, Wei Liang, Sixin Bian, Ang Du, Guodong College of Computer Science Sichuan University Chengdu China School of Information Science and Engineering Yanshan University The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Qinhuangdao China

ISBN: (纸本)9798350319156

Video person re-identification is receiving academic interest. However, the practical application of the algorithm is hardly supported because of prohibitive annotated data. Hence, the study for unlabeled data will lead to an attractive alternative. This work explores an innovative strategy, namely, learning to cluster unlabeled person in the video through graph convolutional networks. In this paper, we find that the possibility of inter-frame linkage can be inferred from context. Therefore, a pose-guided topology linkage clustering framework is proposed. Our framework consists of three modules: (i) a pose-guided representation module;(ii) a pose-guided embedding module;(iii) a link prediction module. Firstly, the representation coding alone is performed at the level of relational induction bias, embedding the implicit pose structure information in image features. Then, based on the consideration of the topology relationship between adjacent and cross-frame, graph convolutional network is introduced to infer the likelihood of linkage between frame nodes. Experiments show that the method demonstrates excellent scalability in addition to being an effective response to person clustering in case of changes, and does not need the number of clusters as a prior. © 2023 IEEE.

关键词： Convolution

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Low-coherence interferometric dimensional measurement technique based on synchrosqueezed wavelet transform

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Optics Express 2025年第10期33卷 20192-20201页

作者： Tian, Yuqi Dang, Hong Zhang, Pengyu Yu, Liang Feng, Kunpeng Cui, Jiwen Deng, Hu Shang, Liping School of Information Engineering Southwest University of Science and Technology Mianyang621010 China State Key Laboratory of Optical Fiber and Cable Manufacture Technology Department of EEE Southern University of Science and Technology Shenzhen518055 China Joint Laboratory for Extreme Conditions Matter Properties Southwest University of Science and Technology 59 Qinglong Road Sichuan Mianyang621010 China Sichuan Vocational and Technical College of Communications Chengdu611130 China School of Civil Aviation Northwestern Polytechnical University Xi’an710072 China Key Laboratory of Non-Destructive Testing and Monitoring Technology for High-Speed Transport Facilities Nanjing University of Aeronautics and Astronautics Nanjing211106 China Ministry of Industry and Information Technology Harbin150080 China

This paper addresses the issue of reduced measurement stability in low-coherence measurement techniques when applied to glass-based dispersive media. A high-precision, low-coherence interferometric measurement method is proposed based on synchrosqueezed Wavelet Transform (SSWT). First, the Schott dispersion formula is used to analyze the impact of glass-based dispersive media on the phase of the interference spectrum. Wavelet transform is then employed to extract the chirp information of the interference spectrum, enabling the separation of optical path lengths for different wavenumbers. Building upon this, SSWT is introduced to enhance time-frequency resolution further, improving the measurement performance of the system. An experimental setup is constructed to validate the effectiveness of the proposed method. Compared to traditional methods, SSWT optimizes the distribution of wavelet coefficients, concentrating signal energy and significantly improving instantaneous frequency capture accuracy. Experimental results show that, in addition to effectively capturing chirp characteristics and reducing phase noise, SSWT achieves a 3-fold and 7-fold improvement in peak full-width at half-maximum compared to conventional Fourier Transform (FT) and Continuous Wavelet Transform (CWT), respectively, and a 9.1-fold and 17.1-fold improvement in standard deviation over 20 measurements, demonstrating superior noise resistance and measurement precision. In conclusion, the SSWT-based white-light interferometric measurement method provides a high-precision, reliable solution for dimensional measurements in industrial applications. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Interferometry

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Ultrasmall barium titanate nanoparticles modulated stretchable dielectric elastomer sensors with large deformability and high sensitivity

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InfoMat 2023年第8期5卷 94-106页

作者： Zun-Peng Feng Ya-Nan Hao Jing Qin Shao-Long Zhong Ke Bi Yu Zhao Li-Juan Yin Jia-Yao Pei Zhi-Min Dang State Key Laboratory of Information Photonics and Optical Communications School of ScienceBeijing University of Posts and TelecommunicationsBeijingthe People's Republic of China State Key Laboratory of Power System Department of Electrical EngineeringTsinghua UniversityBeijingthe People's Republic of China Beijing University of Posts and Telecommunications Research Institute Shenzhenthe People's Republic of China School of Electrical Engineering Zheng Zhou UniversityZhengZhouthe People's Republic of China

Large deformability and high sensitivity is difficult to be realized simultaneously in flexible ***,taking advantage of the high permittivity and highly active surfaces of the ultrasmall barium titanate nanoparticles(BT NPs)and the high stretchability of the p(BA-GMA)elastomer matrix,we propose a high-performance soft stretchable *** addition of the ultrasmall BT NPs can not only increase the permittivity and capacitance of polyacrylate-matrix composite dielectric material to obtain a high sensitivity,but also basically maintains the excellent mechanical properties of the polymer *** dielectric constants of the composite films increase from 5.68 to 13.13 at 10 kHz with the increase of BT NPs content from 0 to 15 vol.%,which results in a high capacitance of 236.16 pF for 15 vol.%BT/p(BA-GMA)*** the high permittivity and the large deformability(a maximal deformation of 87.2%),the 15 vol.%BT/p(BA-GMA)sensor has high sensitivity and shows high linearity and stable output even if under dynamic *** dual-mode sensor that utilizes the orthogonality of capacitance-resistance is designed,which shows excellent performance in monitoring human body movements and noncontact *** results present that the BT/p(BA-GMA)-based sensor has high stability and reliability not exceed 65C,which can meet the application requirements in dynamic monitoring.

关键词： barium titanate composite dielectric elastomer nanoparticles stretchable sensor

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Polarized Modulation for RIS-Aided Vehicular Communication Networks

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IEEE Internet of Things Journal 2025年第12期12卷 18616-18627页

作者： Shang, Pingping Xie, Longhui Li, Jun Feng, Li Hai, Han Xu, Binbin Li, Jie Yu, Ling Hubei University of Technology School of Electrical and Electronic Engineering Wuhan430068 China Hubei University of Technology Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System Wuhan430068 China Guangzhou University Research Center of Intelligent Communication Engineering School of Electronics and Communication Engineering Guangzhou510006 China Key Laboratory of On-Chip Communication and Sensor Chip of Guangdong Higher Education Institutes Guangzhou510006 China Donghua University School of Information Science and Technology Shanghai201620 China Maritime Communication Research Institute Wuhan430068 China Guangdong Provincial Hospital of Chinese Medicine Guangzhou510120 China State Key Laboratory of Traditional Chinese Medicine Syndrome Guangzhou510120 China

The reconfigurable intelligent surface (RIS) stands as an emergent technique poised to revolutionize future vehicular communication. In order to facilitate the application of RIS in vehicular communication, this paper proposes two effective RIS-aided schemes tailored for polarization modulation (PM) aiming to achieve remarkable spectral efficiency. Specifically, Scheme I proposes a novel index modulation (IM) aided PM-RIS framework that innovatively encodes information across three distinct dimensions, the indices of dual-polarized antennas (DP-AEs), PM symbols and the reflecting surface indices of the RIS. Scheme II employs a deep neural network method to analyze the channel state information (CSI) for transmit antenna selection, that enhances the reliability and interference immunity in dynamic conditions while reducing computational complexity. Furthermore, a stepwise estimation (SE) method is introduced at the detection stage, which significantly reduces the complexity associated with information decoding. The simulation results highlight the superiority of the proposed system. Compared with traditional PM systems, it demonstrates enhanced performance in terms of spectral efficiency, channel stability, and bit error rate (BER). © 2014 IEEE.

关键词： Signal modulation

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From laboratory to Field:Unsupervised Domain Adaptation for Plant Disease Recognition in the Wild

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Plant Phenomics 2023年第2期5卷 195-208页

作者： Xinlu Wu Xijian Fan Peng Luo Sruti Das Choudhury Tardi Tjahjadi Chunhua Hu College of Information Science and Technology Nanjing Forestry UniversityNanjing 210037China Institute of Forest Resource Information Techniques Chinese Academy of ForestryBeijing 100091China Key Laboratory of Forestry Remote Sensing and Information System National Forestry and Grassland AdministrationBeijing 100091China Department of Computer Science and Engineering University of Nebraska-LincolnLincolnNE 68588USA School of Engineering University of WarwickCoventry CV47ALUK

Plant disease recognition is of vital importance to monitor plant development and predicting crop ***,due to data degradation caused by different conditions of image acquisition,e.g.,laboratory *** environment,machine learning-based recognition models generated within a specific dataset(source domain)tend to lose their validity when generalized to a novel dataset(target domain).To this end,domain adaptation methods can be leveraged for the recognition by learning invariant representations across *** this paper,we aim at addressing the issues of domain shift existing in plant disease recognition and propose a novel unsupervised domain adaptation method via uncertainty regularization,namely,Multi-Representation Subdomain Adaptation Network with Uncertainty Regularization for Cross-Species Plant Disease Classification(MSUN).Our simple but effective MSUN makes a breakthrough in plant disease recognition in the wild by using a large amount of unlabeled data and via nonadversarial ***,MSUN comprises multirepresentation,subdomain adaptation modules and auxiliary uncertainty *** multirepresentation module enables MSUN to learn the overall structure of features and also focus on capturing more details by using the multiple representations of the source *** effectively alleviates the problem of large interdomain *** adaptation is used to capture discriminative properties by addressing the issue of higher interclass similarity and lower intraclass ***,the auxiliary uncertainty regularization effectively suppresses the uncertainty problem due to domain *** was experimentally validated to achieve optimal results on the PlantDoc,Plant-Pathology,Corn-Leaf-Diseases,and Tomato-Leaf-Diseases datasets,with accuracies of 56.06%,72.31%,96.78%,and 50.58%,respectively,surpassing other state-of-the-art domain adaptation techniques considerably.

关键词： Plant breakthrough details

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DoF Analysis for Extended Coprime Arrays in Near-field Communications 2

DoF Analysis for Extended Coprime Arrays in Near-field Commu...

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2nd IEEE International Conference on Signal, information and Data Processing, ICSIDP 2024

作者： Zhou, Cong You, Changsheng Wu, Chenyu Southern University of Science and Technology State Key Laboratory of Optical Fiber and Cable Manufacture Technology Department of Electronic and Electrical Engineering Shenzhen China Harbin Institute of Technology School of Electronics and Information Engineering Harbin China

ISBN: (纸本)9798331515669

In this paper, we consider a sparse array enabled near-field communication system and characterize its spatial multiplexing gain. To this end, a closed-form effective degree of freedom (EDoF) is first obtained for the sparse uniform linear array (S-ULA) and then extended to the extended coprime array (ECA). Based on the closed-form EDoF, we show that the EDoF only depends on the main-lobe of a defined effective beam pattern based on a sampling function. Specifically, given the same number of antennas and array sparsity, a narrower main-lobe generally leads to a larger EDoF. Based on this, we further show that the EDoF for the ECA is larger than that of the S-ULA and dense ULA (D-ULA), due to narrower main-lobe of the effective beam pattern. Furthermore, we characterize the channel capacity of the ECA systems based on the obtained EDoF analysis. Finally, numerical results validate the accuracy of the obtained EDoF and channel capacity. © 2024 IEEE.

关键词： Antenna lobes

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Magnetic and magnetocaloric effect in a stuffed honeycomb polycrystalline antiferromagnet GdInO_(3)

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Chinese Physics B 2022年第6期31卷 656-662页

作者： Yao-Dong Wu Wei-Wei Duan Qiu-Yue Li Yong-Liang Qin Zhen-Fa Zi Jin Tang Universities Joint Key Laboratory of Photoelectric Detection Science and Technology in Anhui Province Anhui Province Key Laboratory of Simulation and Design for Electronic Information Systemand School of Physics and Materials EngineeringHefei Normal UniversityHefei 230601China Anhui Province Key Laboratory of Condensed Matter Physics at Extreme Conditions High Magnetic Field LaboratoryHFIPSAnhuiChinese Academy of SciencesHefei 230031China University of Science and Technology of China Hefei 230026China

The magnetic and magnetocaloric properties were studied in a stuffed honeycomb polycrystalline antiferromagnet GdInO_(3).The onset temperature of antiferromagnetic ordering was observed at~2.1 *** thermal and magnetic hystereses suggest a reversible magnetocaloric effect(MCE)in the GdInO_(3) *** the magnetic field changes of 0 kOe-50 kOe and 0 kOe-70 kOe,the maximum magnetic entropy change values are 9.65 J/kg·K and 18.37 J/kg·K,respectively,near the liquid helium temperature,with the corresponding relative cooling power values of 115.01 J/kg and211.31 J/*** MCE investigation of the polycrystalline GdInO_(3) serves to illuminate more exotic properties in this frustrated stuffed honeycomb magnetic system.

关键词： GdInO_(3) magnetization magnetocaloric effects stuffed honeycomb antiferromagnet

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