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IET International Radar Conference 2023, IRC 2023

作者： Wang, Lianjun Zhang, TianRan Li, Weidong Wang, Rui Hu, Cheng Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China Advanced Technology Research Institute Beijing Institute of Technology Shandong Jinan250300 China Ministry of Education Beijing100081 China Beijing Institute of Electronic System Engineering Beijing100854 China

ISBN: (纸本)9781839539954

Radar serves as a crucial tool for observing airborne biological targets, with wingbeat frequency being a vital parameter for distinguishing between different species of organisms. The wingbeat patterns of airborne biological targets are diverse. To improve the extraction of wingbeat frequencies from radar signals, it is necessary to identify the behavioral states of different wingbeat patterns and eliminate signals that cannot be used for wingbeat extraction. This paper presents an intelligent recognition algorithm based on wingbeat pattern behavioral states. Firstly, Doppler frequency modeling is performed on wingbeat pattern targets, and then simulated data is input into a Bi-LSTM network for pattern recognition training. Finally, the algorithm's performance is validated using field radar measurements after performing short-time Fourier transformation on the measured data. The validation results based on radar experimental data indicate that this algorithm can effectively recognize wingbeat pattern behavioral states. © The Institution of engineering & Technology 2023.

关键词： Radar target recognition

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Research on Measurement system of Upper Limb by Using Single Monocular Web Camera and Inference AI

Research on Measurement System of Upper Limb by Using Single...

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Rehabilitation engineering and Assistive Technology (i-CREATe), International Convention on

作者： Suman Shrestha Hibiki Takami Yuichiro Honda Mitsuru Irie Department of Production System Engineering major Osaka Sangyo University Japan Department of Rehabilitation Course of Prosthetics and Orthotics Faculty of Health Sciences University of Human Arts and Sciences Japan Department of Electrical Electronics and Information Engineering Osaka Sangyo University Japan Department of Production System Engineering Osaka Sangyo University Japan

ISBN: (数字)9798350355154

ISBN: (纸本)9798350355161

This study introduces “UpperLimbs,” an advanced upper limb motion measurement system that utilizes a monocular web camera and inference AI to simplify the traditional elaborate setups required for three-dimensional motion measurement. Using the MediaPipe AI framework, this system is capable of identifying joint positions and depth information from a single camera's video feed. The efficacy of UpperLimbs was validated against a traditional marker-based system, demonstrating comparable accuracy and potential for significant improvements in rehabilitation and prosthetic training. Further enhancements were explored through various image processing techniques, including image sharpening, noise reductions. The implementation of low-pass filters in time domain and calculated offsets further optimized the system's accuracy, making UpperLimbs a promising tool for accessible and efficient upper limb motion analysis, particularly for individuals using prosthetic hand.

关键词： Training Visualization Accuracy Tracking Low-pass filters Cameras Motion capture Real-time systems Artificial intelligence Time-domain analysis

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A Two-Stage Interleaved Bridgeless SEPIC based PFC Converter for Electric Vehicle Charging Application 9

A Two-Stage Interleaved Bridgeless SEPIC based PFC Converter...

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9th IEEE International Conference on Communications and electronics, ICCE 2022

作者： Luckose, Vinukumar Kannan, Ramani Hasan, Khairul Nisak Md Ibrahim, Taib B SEGi University Center for Advanced Electrical and Electronic System Faculty of Engineering Built Environment and Information Technology Petaling Jaya Malaysia Universiti Teknologi Petronas Power Control and Instrumetnation Cluster Department of Electrical and Electronics Engineering Perak Seri Iskandar Malaysia

ISBN: (数字)9781665497459

ISBN: (纸本)9781665497442

Electric vehicles are become more popular nowadays due to negligible gas emissions and less dependent on fossil fuel. However, the battery charging process is the main challenge that influences the electric vehicle (EV) transportation system. The power factor correction (PFC) and dc-dc converter stages are the main phases in the EV charging system. Various electric vehicle charging technologies are developed using different power electronics converter topologies, such as cuck, Zeta, SEPIC, and buck-boost converter. SEPIC (Single Ended Primary Inductor Converter) converter topology is the most preferred topology for battery charging applications due to providing non-inverting output with buck boost operation and reduced input and output ripple current. Although the SEPIC convertor topology has many advantages still possess a lot of challenges. The main challenges are reducing the converter size, conduction loss, voltage stress and increasing the efficiency when compared with the existing recent developed Bridgeless SEPIC topologies with interleaved concept. In this proposed research, a modified interleaved bridgeless, SEPIC based converter is proposed to improve the Power Quality (PQ) for vehicle charging station. The proposed topology is able to reduce the voltage stress, power loss, increase the converter efficiency and improve the power factor due to the bridgeless with interleaved configuration compared to other topologies. The preliminary design of the of the bridgeless interleaved topology is developed with the help of MATLAB Simulink software. The various preliminary results were obtained at the input supply voltage of 70-230 V ac supply. © 2022 IEEE.

关键词： Topology

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Classification of Bird and Drone Based on Radar Time-Frequency Analysis

Classification of Bird and Drone Based on Radar Time-Frequen...

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IET International Radar Conference 2023, IRC 2023

作者： Li, Jialin Li, Weidong Wang, Rui Liu, Haibo Wang, Lianjun Zhang, TianRan Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China Advanced Technology Research Institute Beijing Institute of Technology Shandong Jinan250300 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Ministry of Education Beijing100081 China Beijing Institute of Electronic System Engineering Beijing100854 China

ISBN: (纸本)9781839539954

To address the classification of 'Low, Small, Slow' targets such as birds and drones, this paper proposes a classification algorithm based on target time-frequency spectrogram analysis. Firstly, radar-collected data is subjected to Short-Time Fourier Transform (STFT) to obtain target time-frequency spectrograms, followed by data preprocessing. Subsequently, these time-frequency spectrograms are fed into the designed neural network Residual Pyramid pooling Net (RPNet) for the classification of the two target classes. Validation results based on radar experimental data demonstrate that this algorithm can effectively classify birds and drones, thereby improving the classification performance of small targets. © The Institution of engineering & Technology 2023.

关键词： Drones

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Advancements in Intelligent Photonics: The Role of Silicon Photonics and Phase Change Materials in High-Efficiency Computing 15

Advancements in Intelligent Photonics: The Role of Silicon P...

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15th International Conference on information Optics and Photonics, CIOP 2024

作者： Yun, Yiting Xu, Kai Wang, Weiquan Wei, Maoliang Li, Junying Chen, Zequn Li, Lan Lin, Hongtao The State Key Lab of Brain-Machine Intelligence Key Laboratory of Micro-Nano Electronics and Smart System of Zhejiang Province College of Information Science and Electronic Engineering Zhejiang University Zhejiang Hangzhou310027 China Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences Zhejiang Hangzhou310024 China Key Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province School of Engineering Westlake University Zhejiang Hangzhou310030 China

ISBN: (数字)9781510686175

ISBN: (纸本)9781510686168

Intelligent photonics, driven by silicon photonics, is revolutionizing high-speed data processing, low-power computing, and precision sensing. Leveraging these advances, photonic chips are enabling the development of optical neural networks and nonlinear activation mapping, which are crucial for addressing the demands of large generative models. However, traditional on-chip control methods struggle with high power consumption and volatility. To overcome these challenges, phase-change materials(PCMs) offer high optical contrast and non-volatility, enhancing integration density and reducing power usage. This article discusses the performance and reversible control of PCMs and their integration with silicon photonics. By incorporating PCMs into in-memory optical computing chips, we achieved 4-bit storage and over 88% accuracy on the MNIST dataset, marking significant progress in next-generation high-performance computing. © 2024 SPIE.

关键词： Silicon photonics

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Analysis of Spiral Scanning Amplitude Modulation Methods for Two-photon Endomicroscopy 10

Analysis of Spiral Scanning Amplitude Modulation Methods for...

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10th Symposium on Novel Optoelectronic Detection Technology and Applications

作者： Cui, Haodong Wang, Conghao Liu, Huilan Zhang, Xiulei Hu, Yanhui Fu, Qiang Wu, Runlong Wang, Aimin Feng, Lishuang School of Instrumentation and Optoelectronic Engineering Beihang University Beijing100191 China Beijing100191 China School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Beijing Transcend Vivoscope Biotech Co. Ltd. Beijing100049 China Beijing Key Laboratory for Optoelectronics Measurement Technology Beijing Information Science and Technology University Beijing100192 China State Key Laboratory of Advanced Optical Communication System and Networks Department of Electronics Peking University Beijing100871 China

ISBN: (数字)9781510688155

ISBN: (纸本)9781510688148

Two-photon endomicroscopy is a high-resolution label-free imaging technique for biological tissues. This paper analyzes sinusoidal and triangular amplitude modulation methods for spiral scanning two-photon endomicroscopy. In the theoretical modeling section, the mathematical model of PZT fiber scanner is established, and the distortion of fiber scanning trajectory caused by two amplitude modulated sine wave signals is simulated and evaluated. In the experimental verification section, a test platform is constructed to measure the scanning trajectory distortion driven by these amplitude modulated sine wave signals. Finaly, spiral scanning two-photon endomicroscopic imaging of in-vivo GFP mice brain tissues using sinusoidal amplitude modulated signals are demonstrated. © 2025 SPIE.

关键词： Amplitude modulation

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PAM-4 optical transmission beyond 224 Gbps based on an ultrahigh-bandwidth slow-light silicon modulator

PAM-4 optical transmission beyond 224 Gbps based on an ultra...

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CLEO: Applications and Technology in CLEO 2024, CLEO: A and T 2024 - Part of Conference on Lasers and Electro-Optics

作者： Han, Changhao Qin, Jun Yang, Qipeng Zheng, Zhao Shu, Haowen Zhang, Yunhao Wu, Yichen Sun, Yu Lu, Junde Zhou, Yan Ge, Zhangfeng Wang, Lei He, Zhixue Yu, Shaohua Hu, Weiwei Peng, Chao Bowers, John E. 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 Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Beijing100192 China Frontiers Science Center for Nano-optoelectronics Peking University Beijing100871 China Peng Cheng Laboratory Shenzhen518055 China Peking University Yangtze Delta Institute of Optoelectronics Nantong226010 China

We experimentally demonstrate PAM-4 optical transmission beyond 224 Gbps based on an ultrahigh-bandwidth slow-light silicon modulator in C-band with the combination of the artificial neural network equalizers. © ... 详细信息

关键词： Light modulators

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PAM-4 optical transmission beyond 224 Gbps based on an ultrahigh-bandwidth slow-light silicon modulator

PAM-4 optical transmission beyond 224 Gbps based on an ultra...

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： Han, Changhao Qin, Jun Yang, Qipeng Zheng, Zhao Shu, Haowen Zhang, Yunhao Wu, Yichen Sun, Yu Lu, Junde Zhou, Yan Ge, Zhangfeng Wang, Lei He, Zhixue Yu, Shaohua Hu, Weiwei Peng, Chao Bowers, John E. 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 Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Beijing100192 China Frontiers Science Center for Nano-Optoelectronics Peking University Beijing100871 China Peng Cheng Laboratory Shenzhen518055 China Peking University Yangtze Delta Institute of Optoelectronics Nantong226010 China

ISBN: (纸本)9781957171395

关键词： Silicon photonics

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Deep Learning Based Vehicular Millimeter-Wave Channel Prediction Using Visual information

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IEEE Antennas and Wireless Propagation Letters 2025年

作者： Wang, Shirui He, Ruisi Yang, Mi Ai, Bo Zhang, Xuejian Zhong, Zhangdui Zhang, Haoxiang Han, Jiahui Liu, Bingcheng Beijing Jiaotong University State Key Laboratory of Advanced Rail Autonomous Operation the School of Electronics and Information Engineering the Frontiers Science Center for Smart High-speed Railway System Beijing100044 China Ministry of Industry and Information Technology China Academy of Industrial Internet Beijing100044 China Chinese Academy of Sciences Aerospace Information Research Institute Beijing100094 China

Millimeter-wave channel prediction requires detailed and accurate environmental information due to challenges of non-line-of-sight transmission and severe reflection and scattering. Image information conveniently reflects real-time changes of physical environment and provides a promising solution for millimeter-wave channel modeling. However, research on millimeter-wave channel prediction based on RGB images is still in its exploratory stage. Meanwhile, RGB images introduce new influencing factors, such as visual angle changes, leading to inaccurate prediction. This article proposes a millimeter-wave channel prediction model based on propagation knowledge and visual information, which enhances original RGB image features while combining manual features from specific domain prior knowledge in propagation. Experimental results show that the proposed model outperforms traditional RGB image-based prediction for a multi-scenario, multiview fused dataset, achieving a symmetric mean absolute percentage error as low as 4.16%. In addition, the proposed model demonstrates enhanced stability and interpretability. © 2002-2011 IEEE.

关键词： Prediction models

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Generation of Multi-Channel Co-axial Quasi-Perfect Vortex Electromagnetic Waves with Equal Divergence Radii Based on Aperture-Shared Metasurface

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IEEE Transactions on Antennas and Propagation 2025年

作者： Deng, Li Yang, Kaiqiao Yin, Kaiyue Chen, Jiawei Qu, Meijun Feng, Botao Beijing University of Posts and Telecommunications Beijing Laboratory of Advanced Information Networks Beijing Key Laboratory of Network System Architecture and Convergence Beijing100876 China Southeast University Institute of Electromagnetic Space State Key Laboratory of Millimeter Wave Nanjing211189 China Communication University of China School of Information and Communication Engineering Beijing Beijing100024 China Shenzhen University College of Electronics and Information Engineering Shenzhen518060 China

Vortex electromagnetic (EM) waves hold significant promise for next-generation wireless communication applications. However, their practical deployment is hindered by varying divergence characteristics across vortex modes with different mode numbers. To overcome this challenge and enable true spatial multiplexing of orbital angular momentum (OAM) waves, a dual-polarized shared-aperture metasurface is proposed. By leveraging both polarization and OAM multiplexing, quasi-perfect vortex (QPV) EM waves with co-axial beams and equal divergence radii are successfully generated at microwave frequencies. Initially, the properties of quasi-perfect vortex waves in the microwave band are analyzed, followed by the design of a dual-polarized metasurface unit. This unit integrates parasitic damping-coupled patches based on the traditional Jerusalem cross structure, providing polarization-independent control and approximately 360° phase-tuning capability. Furthermore, simulations validate the effectiveness of the dual-polarized single-mode metasurface design. Based on this, the concept is extended to a 4-channel multiplexing metasurface, operating at 15 GHz and capable of generating QPV waves. Finally, experimental results from the fabricated metasurface demonstrate the generation of QPV waves with OAM mode numbers 0, +2, +1, and -1, achieving simulated and measured OAM mode purities of 0.835 and 0.70, respectively. The experimental data closely aligns with simulations, confirming the effectiveness of the design. This study offers new insights into generating and applying perfect vortex EM waves, paving the way for high-capacity near-field wireless communication systems and advanced control of novel EM physical dimensions. © 1963-2012 IEEE.

关键词： Near field communication

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