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Pluggable multitask diffractive neural networks based on cascaded metasurfaces

Opto-Electronic Advances 2024年第2期7卷 23-31页

作者： Cong He Dan Zhao Fei Fan Hongqiang Zhou Xin Li Yao Li Junjie Li Fei Dong Yin-Xiao Miao Yongtian Wang Lingling Huang Beijing Engineering Research Center of Mixed Reality and Advanced Display Key Laboratory of Photoelectronic Imaging Technology and System of Ministry of Education of ChinaSchool of Optics and PhotonicsBeijing Institute of TechnologyBeijing 100081China Institute of Modern Optics Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network TechnologyNankai UniversityTianjin 300350China Department of Physics and Optoelectronics Faculty of ScienceBeijing University of TechnologyBeijing 100124China Beijing National Laboratory for Condensed Matter Physics Institute of PhysicsChinese Academy of SciencesBeijing 100191China Beijing Aerospace Institute for Metrology and Measurement Technology Beijing 100076China

Optical neural networks have significant advantages in terms of power consumption,parallelism,and high computing speed,which has intrigued extensive attention in both academic and engineering *** has been considered as one of the powerful tools in promoting the fields of imaging processing and object ***,the existing optical system architecture cannot be reconstructed to the realization of multi-functional artificial intelligence systems *** push the development of this issue,we propose the pluggable diffractive neural networks(P-DNN),a general paradigm resorting to the cascaded metasurfaces,which can be applied to recognize various tasks by switching internal *** the proof-of-principle,the recognition functions of six types of handwritten digits and six types of fashions are numerical simulated and experimental demonstrated at near-infrared ***,the proposed paradigm not only improves the flexibility of the optical neural networks but paves the new route for achieving high-speed,low-power and versatile artificial intelligence systems.

关键词： optical neural networks diffractive deep neural networks cascaded metasurfaces

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Pyroptosis: A spoiler of peaceful coexistence between cells in degenerative bone and joint diseases

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Journal of advanced Research 2025年 71卷 227-262页

作者： Li, Zhichao Cheng, Wenxiang Gao, Kuanhui Liang, Songlin Ke, Liqing Wang, Mengjie Fan, Jilin Li, Dandan Zhang, Peng Xu, Zhanwang Li, Nianhu First College of Clinical Medicine Shandong University of Traditional Chinese Medicine Jinan 250014 China Department of Orthopedics Affiliated Hospital of Shandong University of Traditional Chinese Medicine Jinan 250014 China Center for Translational Medicine Research and Development Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China College of Integrated Traditional Chinese and Western Medicine Hebei University of Chinese Medicine Shijiazhuang 050011 China Faculty of Biomedical Engineering Shenzhen University of Advanced Technology Shenzhen 518000 China Key Laboratory of Biomedical Imaging Science and System Chinese Academy of Sciences Shenzhen 518000 China Shandong Zhongke Advanced Technology Co. Ltd. Jinan 250300 China

Background: As people age, degenerative bone and joint diseases (DBJDs) become more prevalent. When middle-aged and elderly people are diagnosed with one or more disorders such as osteoporosis (OP), osteoarthritis (OA), and intervertebral disc degeneration (IVDD), it often signals the onset of prolonged pain and reduced functionality. Chronic inflammation has been identified as the underlying cause of various degenerative diseases, including DBJDs. Recently, excessive activation of pyroptosis, a form of programed cell death (PCD) mediated by inflammasomes, has emerged as a primary driver of harmful chronic inflammation. Consequently, pyroptosis has become a potential target for preventing and treating DBJDs. Aim of Review: This review explored the physiological and pathological roles of the pyroptosis pathway in bone and joint development and its relation to DBJDs. Meanwhile, it elaborated the molecular mechanisms of pyroptosis within individual cell types in the bone marrow and joints, as well as the interplay among different cell types in the context of DBJDs. Furthermore, this review presented the latest compelling evidence supporting the idea of regulating the pyroptosis pathway for DBJDs treatment, and discussed the potential, limitations, and challenges of various therapeutic strategies involving pyroptosis regulation. key Scientific Concepts of Review: In summary, an interesting identity for the unregulated pyroptosis pathway in the context of DBJDs was proposed in this review, which was undertaken as a spoiler of peaceful coexistence between cells in a degenerative environment. Over the extended course of DBJDs, pyroptosis pathway perpetuated its activity through crosstalk among pyroptosis cascades in different cell types, thus exacerbating the inflammatory environment throughout the entire bone marrow and joint degeneration environment. Correspondingly, pyroptosis regulation therapy emerged as a promising option for clinical treatment of DBJDs. © 2024

关键词： Bone and joint diseases Intervertebral disc degeneration Osteoarthritis Osteoporosis Pyroptosis

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Ultrawide-band optically transparent antidiffraction metamaterial absorber with a Thiessen-polygon metal-mesh shielding layer

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Photonics Research 2023年第7期11卷 1354-1363页

作者： NAITAO SONG QIAO SUN SU XU DONGZHI SHAN YANG TANG XIAOXI TIAN NIANXI XU JINGSONG GAO Key Laboratory of Optical System Advanced Manufacturing Technology Changchun Institute of OpticsFine Mechanics and PhysicsChinese Academy of SciencesChangchun 130033China State Key Laboratory of Applied Optics Changchun Institute of OpticsFine Mechanics and PhysicsChinese Academy of SciencesChangchun 130033China College of Da Heng University of Chinese Academy of SciencesBeijing 100049China State Key Laboratory of Integrated Optoelectronics College of Electronic Science and EngineeringJilin UniversityChangchun 130012China Jilin Provincial Key Laboratory of Advanced Optoelectronic Equipment and Instrument Manufacturing Technology Changchun 130033China

Transparent absorbers, with a functional integration of broadband electromagnetic shielding, microwave camouflage,and optical transparency, have attracted increasing attention in the past decades. Metal mesh, an artificial, optically transparent, conducting material composed of periodic metallic gratings, is the optimal choice for the microwave shielding layer of transparent absorbers because of its excellent compatibility between high transparency and low resistance. However, the micrometer-level periodicity of metallic grating concentrates the diffraction of light, which degrades the imaging quality of cameras and sensors in common. In this study, we report on a generalized Thiessenpolygon-randomization method that prevents the concentration of the diffraction of light in periodic metallic grating and demonstrate an ultrawide-band optically transparent diffraction-immune metamaterial absorber. The absorber is constructed with a multilayer indium-tin-oxide-based metasurface and a Thiessen-polygon-randomized metal-mesh reflector. The lossy metasurface provides multimode absorption, whereas the Thiessen-polygon randomization prevents the concentration of the diffraction of light. The practical sample achieves a 10 dB absorptivity and shielding effectiveness over a range of 8–26.5 GHz, and the optical transparency is also preserved over the entire visible and near-infrared regions. The point spread function and field of view are both improved by using the antidiffraction absorber. Our study paves the way for the application of optically transparent electromagnetic devices, display, and optoelectronic integration in a more practical stage. ? 2023 Chinese Laser Press.

关键词： absorber transparent polygon

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Multi-Layer RIS on Edge: Communication, Computation and Wireless Power Transfer

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IEEE Internet of Things Magazine 2025年第3期8卷 100-108页

作者： Chen, Shuyi Jia, Junhong Zhang, Baoqing Hui, Yingzhe Qin, Yifan Meng, Weixiao Xu, Tianheng Harbin Institute of Technology Communication Research Center China-Chile ICT Belt and Road Joint Laboratory China Beijing Institute of Electronic System Engineering China Harbin Engineering University Ministry of Education Key Lab of In-fiber Integrated Optics China Shanghai Advanced Research Institute Chinese Academy of Sciences China

The rapid expansion of Internet of Things (IoT) and its integration into various applications high-light the need for advanced communication, computation, and energy transfer techniques. However, the traditional hardware-based evolution of communication systems faces challenges due to exces-sive power consumption and prohibitive hardware cost. With the rapid advancement of reconfigu-rable intelligent surface (RIS), a new approach by parallel stacking a series of RIS, i.e., multi-lay-er RIS, has been proposed. Benefiting from the characteristics of scalability, passivity, low cost, and enhanced computation capability, multi-layer RIS is a promising technology for future massive IoT scenarios. Thus, this article proposes a multi-layer RIS-based universal paradigm at the network edge, enabling three functions, i.e., multiple-input multi-ple-output (MIMO) communication, computation, and wireless power transfer (WPT). Starting by pic-turing the possible applications of multi-layer RIS, we explore the potential signal transmission links, energy transmission links, and computation pro-cesses in IoT scenarios, showing its ability to handle on-edge IoT tasks and associated green challeng-es. Then, these three key functions are analyzed respectively in detail, showing the advantages of the proposed scheme, compared with the traditional hardware-based scheme. To facilitate the implementation of this new paradigm into reality, we list the dominant future research directions at last, such as inter-layer channel modeling, resource allocation and scheduling, channel estimation, and edge training. It is anticipated that multi-layer RIS will contribute to more energy-efficient wireless networks in the future by introducing a revolution-ary paradigm shift to an all-wave-based approach. © 2018 IEEE.

关键词： Energy transfer

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Pulsating Torque Suppression of Flux Reversal Machines Based on Specific Harmonic Contributions of Rotor Permeance and PM MMF

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IEEE Transactions on Industry Applications 2025年

作者： Li, Junzhou Gao, Yuting Zhang, Chaofeng Zha, Xiaoming Qu, Ronghai Wuhan University School of Electrical Engineering and Automation Wuhan430072 China Key Laboratory of Integrated Energy Power Equipment and System Security Hubei430206 China State Grid Henan Electric Power Research Institute Zhengzhou450052 China Huazhong University of Science and Technology State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Wuhan430074 China

Flux reversal machines (FRMs) exhibit high torque density, but also significant pulsating torque, including cogging torque and torque ripple. Traditional methods fail to separate the harmonics that affect torque density and pulsating torque, leading to a degradation of torque density when reducing pulsating torque. Therefore, to maintain torque density and simultaneously reduce pulsating torque, this paper proposes a novel FRM configuration incorporating shape designs for the rotor and permanent magnets (PMs). First, the key generation mechanisms of cogging torque, average torque, and torque ripple are thoroughly examined, with analytical expressions derived to classify the torque contributions of all air-gap magnetic field harmonics into negative-effect and positive-effect components. Further, the rotor and PM shapes are designed to enhance the positive-effect components and reduce the negative-effect ones of the air-gap permeance and magnetomotive force (MMF). The impacts of geometric parameters are evaluated by using a sensitivity-based hierarchical optimization approach. Then, the proposed FRM is comprehensively compared with a conventional FRM in terms of back-electromotive force (EMF), cogging torque, average torque, torque ripple, efficiency, etc. The results indicate that the proposed machine configuration achieves reductions in cogging torque and torque ripple by 90% and 86.8%, respectively, while maintaining consistent average torque. Finally, a 12-slot/10-pole FRM prototype was built and tested to validate the effectiveness of the proposed machine topology. © 1972-2012 IEEE.

关键词： Permanent magnets

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Uncertainty Budget in the Ldv-Based Radius Measurement

SSRN

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SSRN 2024年

作者： Shi, Shengyu Wu, Yongwei Li, Xiang Yin, Xiaochun Kuschmierz, Robert Czarske, Jürgen National Engineering Research Center of Novel Equipment for Polymer Processing Key Laboratory of Polymer Processing Engineering Ministry of Education Guangdong Provincial Key Laboratory of Technique and Equipment for Macromolecular Advanced Manufacturing School of Mechanical and Automobile Engineering South China University of Technology Guangzhou510640 China Laboratory for Measurement and Sensor System Techniques Technische Universität Dresden Dresden01069 Germany

Laser Doppler velocimeter (LDV) allows for the measurement of the lateral velocity of a rotating cylindrical workpiece, thus, enabling the absolute radius measurement, showing great application prospect. However, several adverse factors exist that decrease the measurement accuracy, for example, the variation of the fringe spacing, the variation of the rotating frequency, the spindle error motions, and the Doppler frequency estimation, which, unfortunately, have been seldom studied. In this context, this paper comprehensively analyzes the uncertainty in the LDV-based radius measurement. First, we construct an LDV sensor and calibrate its fringe spacing. Then, the LDV-based radius measurement is modeled as an algebraic equation, suggesting that the radius is indirectly measured from several input quantities, including the Doppler frequency, the fringe spacing, and the rotation frequency, each of which owns an input uncertainty, propagating into the measurement result. Ultimately, a detailed budget for the measurement uncertainty is provided. © 2024, The Authors. All rights reserved.

关键词： Laser Doppler velocimeters

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Parallel chaotic sources based on microcombs

Parallel chaotic sources based on microcombs

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Shen, Bitao Shu, Haowen Xie, Weiqiang Chen, Ruixuan Liu, Zhi Zhang, Xuguang Wang, Yimeng Zhang, Yunhao Cheng, Buwen Yu, Shaohua Bowers, John E. Chang, Lin Wang, Xingjun State Key Laboratory of Advanced Optical Communications System and Networks School of Electronics Peking University Beijing100871 China Department of Electrical and Computer Engineering University of California Santa BarbaraCA93106 United States Frontiers Science Center for Nano-Optoelectronics Peking University Beijing100871 China Peng Cheng Laboratory Shenzhen518055 China State Key Laboratory on Integrated Optoelectronics Institute of Semiconductors Chinese Academy of Sciences Beijing100083 China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing100049 China

Massively parallel optical chaotic sources with large bandwidth are demonstrated based on chaotic microcombs in the AlGaAsOI platform. 30-channel parallel random bit generation with 30 Gbit/s per channel is realized b... 详细信息

ISBN: (纸本)9781957171258

关键词： Gallium compounds

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MambaRF: A Bi-directional Mamba Structure for Radio Frequency Signal Classification of Unmanned Aerial Vehicle

MambaRF: A Bi-directional Mamba Structure for Radio Frequenc...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Mufeng Yao Chao Liu Lexu Xie Mingmin Chi School of Computer Science Shanghai Key Laboratory of Data Science Fudan University Shanghai China School of Computer Science Fudan University Zhengzhou Zhongke Institute of Integrated Circuit and System Application Shanghai China Henan Institute of Advanced Technology Zhengzhou University Zhengzhou China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

The rapid development of Unmanned Aerial Vehicle (UAV) technology has facilitated the widespread use of UAVs in daily life, this advancement brings huge regulatory demand for UAVs. Automatic identification of UAVs using radio frequency (RF) signals can effectively reduce regulatory costs. Previous studies first extracts spectrogram features from raw RF signals using short-time Fourier transform, and then use neural networks to classify the spectrograms. These studies are mainly based on local convolution, ignoring the long-range dependence of the spectrograms, and thus are limited in terms of UAV classification accuracy. In addition, these works also focus only on classifying UAV types without identifying flight states (e.g., hovering, flying, and switch on). To this end, we propose MambaRF, which employs a bi-directional selective scanning mechanism to capture long-range information of spectrograms from two different directions. MambaRF also jointly classifies UAV types and flight states by using two decoupled classification heads, which has not been addressed in previous studies. Experiments on two publicly available datasets show that our proposed MambaRF outperforms VMamba and other previous studies in both type classification and flight state classification.

关键词： Accuracy Convolution RF signals Bidirectional control Switches Autonomous aerial vehicles Feature extraction Speech processing Spectrogram Radiofrequency identification

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Synergistic effect of total ionizing dose and electromagnetic interference in current reference circuits using scaling-down SOI technologies 13

Synergistic effect of total ionizing dose and electromagneti...

引用

13th Asia-Pacific International Symposium on Electromagnetic Compatibility and Technical Exhibition, APEMC 2022

作者： Wang, Z. Wu, J. Li, B. Zhang, H. Zhao, X. Li, J. Zhao, W. Ye, T. Guangdong Greater Bay Area Institute of Integrated Circuit and System Guangzhou China Institute of Microelectronics of Chinese Academy of Sciences Beijing China Key Laboratory of Silicon Devices and Technology Chinese Academy of Sciences Beijing China National University of Defense Technology Changsha China Tianjin Institute of Advanced Technology Tianjin China

ISBN: (数字)9781665416719

ISBN: (纸本)9781665416719

This paper studies the behavior characteristics of the same structure circuits manufactured by three different technology nodes in the synergistic environment of total ionizing dose (TID) irradiation and electromagnetic interference (EMI). The experimental results show that the irradiation degrade the EMI immunity of the circuit with larger process feature size. Concurrently, the irradiation induces the abnormal startup problem of the circuit in the complex noise frequency domain environment, and the larger the technology feature size of the circuit can make the starting problem of the circuit worse. © 2022 IEEE.

关键词： Signal interference

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3D Reconstruction for Scenes with Noticeable Differences in Elevation based on Few-view Satellite Images

3D Reconstruction for Scenes with Noticeable Differences in ...

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Information systems and Computing Technology (ISCTech), International Conference on

作者： Xinqi Liu Maosheng Wei Luyun Tian Yiming Yan Key Laboratory of Advanced Marine Communication and Information Technology College of Information and Communication Engineering Harbin Engineering University HEU Harbin China Harbin Space Star Data System Science and Technology Company Ltd. Harbin China State Key Laboratory of Space-Ground Integrated Information Technology Beijing Institute of Satellite Information Engineering Beijing China

ISBN: (数字)9798350379860

ISBN: (纸本)9798350379877

Due to the difficulty of acquiring a sufficient amount of satellite images in a short period of time, three-dimensional (3D) reconstruction with few-view satellite images has a wide range of application areas. However, based on few-view satellite images, most existing algorithms, including dense matching and the neural radiation fields, lose their stability when facing scenes with noticeable differences in elevation which is abbreviated as NDE-scenes. The greater the elevation difference, the more challenging the reconstruction becomes. To solve the problem of poor reconstruction in NDE-scenes, we propose a new framework based on neural radiation fields in this paper, along with two improvement methods: the signed distance function (SDF) field generation network (SDFGN) optimization strategy and the shadow prior module. It enables accurate and robust reconstruction of NDE-scenes with fewer views. Comparison and ablation experiments on the DFC2019 dataset verify the advancements of the proposed methods and the effectiveness of each module.

关键词： Point cloud compression Computers Three-dimensional displays Accuracy Lighting Satellite images Image reconstruction Optimization Information systems

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