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A high performance passive wireless SAW torque sensor

IEEE Sensors Journal 2025年第10期25卷 18192-18200页

作者： Gao, Zihang Wen, Yumei Xiao, Qiang Lei, Huaming Wang, Weibiao Fan, Yanping Shanghai Jiao Tong University Shanghai200240 China 26th Institute of China Electronics Technology Group Corporation Chongqing400060 China Shoulder Electronics Ltd Wuxi214124 China University of Shanghai for Science and Technology School of Optical-Electrical and Computer Engineering Shanghai200093 China

Torque measurement presents challenges particularly in rotating structures, where traditional measurement methods are often limited. Surface Acoustic Wave (SAW) sensors, with their inherent wireless and passive characteristics, possess unique advantages in mechanical measurements of rotating structures. Currently, most of the existing resonant SAW mechanical sensors suffer from issues of short reading distances or poor signal quality, primarily due to the difficulty in achieving high Q factor of SAW resonators. Additionally, the problem of high temperature coefficient generally exists in the field of SAW sensors, which will seriously interfere with the measurement accuracy of the sensors. In this paper, a SAW torque sensor with excellent wireless performance was proposed based on the X-112°Y LiTaO3 substrate due to its large electromechanical coupling coefficient (K2) and favourable temperature characteristics. We investigated and simulated the characteristics of the sensing element including strain sensitivity, temperature coefficient, Q factor and electromechanical coupling coefficient, and designed SAW resonators on X-112°Y LiTaO3 substrates. The experimental results show that the proposed SAW sensor has higher signal-to-noise ratio echo signal quality at the same wireless measurement distance compared with the case traditional high Q factor SAW sensor based on quartz substrate. Moreover, from temperature tests, the proposed SAW sensor has a linear temperature effect, which is beneficial to the compensation of temperature drift. Based on the manufactured SAW sensors, a SAW torque measurement system with wonderful linearity, repeatability and hysteresis was developed. Our work provides a valuable and promising solution for wireless and passive measurement of mechanical quantities. (Figure presented) © 2001-2012 IEEE.

关键词： Q factor measurement

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Ptychographic characterization of spatiotemporal wavepackets

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Optica 2025年第4期12卷 498-504页

作者： Liu, Yuanyuan Xu, Yingming Zhang, Nianjia Liu, Dawei Wei, Lijin Cao, Qian Shi, Junhui Zhan, Qiwen School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai200093 China Zhangjiang Laboratory 100 Haike Road Shanghai201204 China Research Center for Novel Computational Sensing and Intelligent Processing Zhejiang Lab. Hangzhou311100 China College of Mechatronics and Control Engineering Shenzhen University Shenzhen518060 China

Exciting advances in spatiotemporal wavepackets have shown great potential in a range of applications, including particle manipulation, time-resolved imaging, and unique light–matter interactions. In particular, spatiotemporal optical vortice (STOV) pulse beams characterized by a helical phase structure in space and time are a recently emerging type of complex structured ultrashort pulse. However, the high-resolution measurement and manipulation of ultrashort spatiotemporal wavepackets still face major challenges due to their inseparable properties in space and time. In this study, based on spectra-encoded ptychography, we implement a simple, compact, reference-free STOV characterization technique with a temporal resolution of 6 fs and a spatial resolution of 11.05 µm. This technique can be employed to analyze various intricate spatiotemporal structural beams, contributing to the growing field of spatiotemporally engineered ultrafast laser pulse beams. Additionally, as a lensless measurement technique, this characterization method may be extended to other spectral ranges, including the extreme ultraviolet and X-ray domains. © 2025 Optica Publishing Group.

关键词： Wave packets

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Investigating the Effect of Gender and Age in Sentiment Analysis Training and Testing: RoBERTa Vader, Naive Bayes, SVM and Logistic Regression 24

Investigating the Effect of Gender and Age in Sentiment Anal...

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Proceedings of the 2024 8th International Conference on Software and e-Business

作者： Hanyang Kong School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai China

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Research on environment perception and behavior prediction of intelligent UAV based on semantic communication

arXiv

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arXiv 2025年

作者： Ren, Kechong Gao, Li Guan, Qi University of Shanghai for Science and Technology School of Optical-Electrical and Computer Engineering Shanghai200093 China

The convergence of drone delivery systems, virtual worlds, and blockchain has transformed logistics and supply chain management, providing a fast, and environmentally friendly alternative to traditional ground transportation methods;Provide users with a real-world experience, virtual service providers need to collect up-to-the-minute delivery information from edge devices. To address this challenge, 1) a reinforcement learning approach is introduced to enable drones with fast training capabilities and the ability to autonomously adapt to new virtual scenarios for effective resource allocation.2) A semantic communication framework for meta-universes is proposed, which utilizes the extraction of semantic information to reduce the communication cost and incentivize the transmission of information for meta-universe services.3) In order to ensure that user information security, a lightweight authentication and key agreement scheme is designed between the drone and the user by introducing blockchain technology. In our experiments, the drone adaptation performance is improved by about 35\%, and the local offloading rate can reach 90\% with the increase of the number of base stations. The semantic communication system proposed in this paper is compared with the Cross Entropy baseline model. Introducing blockchain technology the throughput of the transaction is maintained at a stable value with different number of drones. Copyright © 2025, The Authors. All rights reserved.

关键词： Drones

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Ferroelectrically gated two-dimensional bismuth oxyselenides for strain-invariant flexible synaptic thin-film transistors

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Science China(Information Sciences) 2025年第5期68卷 396-403页

作者： Jie WEN Fei XIAO Zheng-Dong LUO Dongxin TAN Xuetao GAN Dawei ZHANG Zhufei CHU Yinshui XIA Yan LIU Genquan HAN Hangzhou Institute of Technology Xidian University State Key Discipline Laboratory of Wide Band Gap Semiconductor Technology School of MicroelectronicsXidian University Key Laboratory of Light Field Manipulation and Information Acquisition Ministry of Industry and Information Technology Shaanxi Key Laboratory of Optical Information Technology School of Physical Science and Technology Northwestern Polytechnical University School of Materials Science and Engineering The University of New South Wales ARC Centre of Excellence in Future Low-Energy Electronics Technologies (FLEET) The University of New South Wales Faculty of Electrical Engineering Computer Science Ningbo University

Two-dimensional van der Waals（2D vdW） semiconductors have proven to be of great importance for flexible thinfilm transistors（TFTs） owing to their intrinsic mechanical flexibility and superior electronic *** particular,bismuth oxyselenide（Bi2O2Se）,featuring ultrahigh electron mobility along with facile scalable thin-film growth methods,could offer a new option to deliver massively enhanced potential for flexible ***,it has remained a challenge to achieve nonvolatile flexible memory devices based on Bi2O2Se TFTs,thereby hindering the extension of Bi2O2Se TFTs to storage and emerging neuromorphic computing ***,a flexible synaptic TFT is demonstrated through the creation of a Bi2O2Se-based ferroelectric field-effect transistor（FeFET） structure on the flexible mica *** proposed device exhibits excellent nonvolatile memory characteristics,including a large memory window,excellent current modulation ratio,great retention,and strong ***,the Bi2O2Se-based FeFET can be operated as a synaptic device with analog conductance-modulating *** to the superior mechanical flexibility of the component materials and the mica substrate,the Bi2O2Se-based FeFETs can retain their performance against various bending states,showing a straininvariant electrical *** study marks the advancement of Bi2O2Se-based TFTs toward flexible nonvolatile memories and synaptic devices.

关键词： Bi$_{2}$O$_{2}$Se FeFET nonvolatile memory flexible device synaptic transistor

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Triple strong coupling and Rabi splitting enhancement in multi-layer waveguides

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Physica B: Condensed Matter 2025年 712卷

作者： Sun, Miaowenhao Xie, Suxia Zeng, Zhaoyou Chen, Jianghao Chu, Zeyang Zhuo, Junwu Cui, Jie Zhang, Meidi Gao, Man Shao, Yue School of Mechanical Engineering University of Shanghai for Science and Technology Shanghai China School of Optical Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai China

Bound states in the continuum (BIC) within continuous spectra exhibit exceptional quantum efficiency, enabling precise control in strong coupling systems. However, the limited tunability of strong coupling restricts its broad applicability. This paper presents a novel method for tuning strong coupling interactions by modifying the number and characteristics of waveguide layers. We demonstrate single, double, and triple strong coupling using a perovskite waveguide, a bilayer waveguide composed of perovskite and WS2, and a trilayer waveguide consisting of perovskite, WS2, and WSe2. Two strong coupling modes are identified: quasi-bound states in the continuum (QBIC) and guided mode resonance (GMR). We observe a transition of GMR to the off-Γ BIC mode. By adjusting the exciton oscillation strength of the waveguide materials, the Rabi splitting for single strong coupling is enhanced from 134 meV to 189.7 meV. In double strong coupling, Rabi splitting reaches 175.8 meV and 342 meV, respectively. The emergence of triple Rabi splitting significantly broadens the available configurations for tuning exciton oscillation strength. Through our tuning strategy, we achieve triple strong coupling with six distinct Rabi splitting values: 114.3 meV, 135.4 meV, 148 meV, 112.6 meV, 130.8 meV, and 146 meV. This work establishes a new platform for strong coupling, with potential applications in advanced photonic devices, such as dual-wavelength and tri-wavelength polarized lasers and light absorbers. © 2025

关键词： Ridge waveguides

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A New Heterogeneous Hybrid Massive MIMO Receiver With an Intrinsic Ability of Removing Phase Ambiguity of DOA Estimation via Machine Learning

IEEE Transactions on Machine Learning in Communications and ...

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IEEE Transactions on Machine Learning in Communications and Networking 2025年 3卷 17-29页

作者： Shu, Feng Shi, Baihua Chen, Yiwen Bai, Jiatong Li, Yifan Liu, Tingting Han, Zhu You, Xiaohu Hainan University School of Information and Communication Engineering Haikou570228 China Nanjing University of Science and Technology School of Electronic and Optical Engineering Nanjing210094 China Hainan University Collaborative Innovation Center of Information Technology Haikou570228 China Nanjing University of Posts and Telecommunications School of Computer Science Nanjing210003 China University of Houston Department of Electrical and Computer Engineering HoustonTX77004 United States Southeast University National Mobile Communications Research Laboratory Nanjing210096 China Purple Mountain Laboratories Nanjing211111 China

Massive multiple input multiple output (MIMO) antenna arrays eventuate a huge amount of circuit costs and computational complexity. To satisfy the needs of high precision and low cost in future green wireless communication, the conventional hybrid analog and digital MIMO receive structure emerges a natural choice. But it exists an issue of the phase ambiguity in direction of arrival (DOA) estimation and requires at least two time-slots to complete one-time DOA measurement with the first time-slot generating the set of candidate solutions and the second one to find a true direction by received beamforming over this set, which will lead to a low time-efficiency. To address this problem,a new heterogeneous sub-connected hybrid analog and digital ( H2 AD) MIMO structure is proposed with an intrinsic ability of removing phase ambiguity, and then a corresponding new framework is developed to implement a rapid high-precision DOA estimation using only single time-slot. The proposed framework consists of two steps: 1) form a set of candidate solutions using existing methods like MUSIC;2) find the class of the true solutions and compute the class mean. To infer the set of true solutions, we propose two new clustering methods: weight global minimum distance (WGMD) and weight local minimum distance (WLMD). Next, we also enhance two classic clustering methods: accelerating local weighted k-means (ALW-K-means) and improved density. Additionally, the corresponding closed-form expression of Cramer-Rao lower bound (CRLB) is derived. Simulation results show that the proposed frameworks using the above four clustering can approach the CRLB in almost all signal to noise ratio (SNR) regions except for extremely low SNR (SNR © 2024 The Authors.

关键词： Signal to noise ratio

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Neural Network Watermarking with Hierarchical Recoverability

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IEEE Transactions on Dependable and Secure Computing 2025年

作者： Huang, Lin Qin, Chuan Feng, Guorui Zhang, Xinpeng University of Shanghai for Science and Technology School of Optical-Electrical and Computer Engineering Shanghai200093 China Shanghai University School of Communication and Information Engineering Shanghai200444 China

In recent years, neural network models have been widely used in many tasks, however, tampering operations from malicious attackers, e.g., backdoor attacks and parameter malicious tampering, can easily degrade the model performance or cause a malfunction. To protect the integrity of neural network model, in this paper, we propose a neural network watermarking scheme with hierarchical recoverability (NNWHR), which not only can identify and locate the tampered parameters, but also can recover the tampered parameters in a hierarchical way. Detailedly, the parameters of to-be-protected network layers are first sorted according to the parameter importances, which are calculated through a specifically designed strategy for parameter evaluation. Then, the reference sharing mechanism is used to generate more number of recovery bits and provide greater perfect recovery probabilities for the parameters with higher importances, which can also deal with larger tampering rates through bit interleaving. Finally, the recovery bits and the authentication bits of model parameters are incorporated as watermark bits and embedded into the model redundant space after scrambling. Experimental results show that our scheme can locate tampered model parameters and recover corresponding model performance with satisfactory accuracy, and can also be applied to eliminate backdoor attacks. In addition, our scheme exhibits satisfactory generalizability, which makes it applicable to various types of neural networks. © 2004-2012 IEEE.

关键词： Neural network models

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Steganography with Constructing Neural Networks

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IEEE Transactions on Circuits and Systems for Video Technology 2025年

作者： Xu, Chenyi Huang, Lin Qin, Chuan Feng, Guorui Zhang, Xinpeng University of Shanghai for Science and Technology School of Optical Electrical and Computer Engineering Shanghai200093 China Shanghai University School of Communication and Information Engineering Shanghai200444 China

In recent years, due to the rich parameters contained in deep neural network (DNN) models, researchers have proposed DNN model steganography, using DNN models as carriers. In this paper, we propose a constructive DNN model steganography method based on parameter initialization. Unlike existing DNN model steganography methods that embed secret information into a pre-trained DNN model, we generate parameters containing secret information through parameter initialization for a DNN model structure, and the embedded secret information can still be extracted after model training. Specifically, we first generate the model parameters needed for the DNN model structure through a secret information-driven encoder, and then we jointly train the encoder and decoder to ensure the correct extraction of secret information. Additionally, we introduce a noise layer to simulate the model training process to guarantee the robustness of our method. Experimental results demonstrate that our method not only achieves high hiding capacity but also exhibits satisfactory stealthiness and robustness. Furthermore, our method is generalizable, which can be applied to various network structures, such as multilayer perceptron (MLP), convolutional neural networks (CNNs), recurrent neural networks (RNNs), and Transformers. © 1991-2012 IEEE.

关键词： Model structures

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Alkali Atomic Density Detection with Arbitrarily Polarized Light

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IEEE Sensors Journal 2025年

作者： Liu, Xuejing Wang, Menglu Li, Yuhan Wang, Yangtao Zhang, Xuedian Li, Yang University of Shanghai for Science and Technology Key Laboratory of Optical Technology and Instrument for Medicine Ministry of Education School of Optical-Electrical and Computer Engineering Shanghai200093 China University of Shanghai for Science and Technology School of Optical-Electrical and Computer Engineering Shanghai200093 China Tongji University Shanghai Institute of Intelligent Science and Technology Shanghai200093 China

The atomic density of an alkali vapor cell is a critical factor in determining the performance of atomic magnetometers. This paper presents a novel method to detect the density of an alkali atomic ensemble under arbitrary polarization states. By establishing a comprehensive model that correlates the absorption spectrum with the incident light’s polarization, our approach enables real-time and flexible measurements across varying temperatures and polarization angles. Experimental validations are conducted by systematically rotating a quarter-wave plate and controlling the vapor cell temperature, thereby collecting transmission spectra at multiple polarizations. The results demonstrate that the proposed method simplifies density measurements while preserving high accuracy, laying a solid foundation for further research on Spin-Exchange Relaxation-Free (SERF) atomic magnetometers. This technique serves as a versatile and effective tool for in-situ monitoring of alkali metal vapor density in various sensor applications. © 2001-2012 IEEE.

关键词： Absorption spectroscopy

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