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Facile assembly of flexible,stretchable and attachable symmetric microsupercapacitors with wide working voltage windows and favorable durability

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Microsystems & Nanoengineering 2024年第4期10卷 297-304页

作者： Xiangguang Han Xiaoyu Wu Libo Zhao Min Li Chen Jia Zhikang Li Jiaqi Xie Guoxi Luo Ping Yang Rabah Boukherroub Yurdanur Türker Mert UmutÖzkaynak Koray Bahadır Dönmez State Key Laboratory for Manufacturing Systems Engineering International Joint Laboratory for Micro/Nano Manufacturing and Measurement TechnologiesXi’an Jiaotong University(Yantai)Research Institute for Intelligent Sensing Technology and SystemXi’an Jiaotong UniversityXi’an 710049China School of Instrument Science and Technology Xi’an Jiaotong UniversityXi’an 710049China Shandong Laboratory of Advanced Materials and Green Manufacturing at Yantai Yantai 264000China School of Mechanical Engineering Xi’an Jiaotong UniversityXi’anShaanxi 710049China Chongqing Key Laboratory of Micro-Nano Systems and Intelligent Sensing Chongqing Academician WorkstationChongqing 2011 Collaborative Innovation Center of Micro/Nano Sensing and Intelligent Ecological Internet of ThingsChongqing Technology and Business UniversityNan’an DistrictChongqing 400067China Univ.Lille CNRSUniv.Polytechnique Hauts-de-FranceUMR 8520-IEMNF-59000 LilleFrance Sabanci University Nanotechnology Research and Application Center(SUNUM) IstanbulTurkey Department of Materials Science and Engineering Istanbul Technical UniversityIstanbulTurkey

With the increasing development of intelligent robots and wearable electronics,the demand for high-performance flexible energy storage devices is drastically *** this study,flexible symmetric microsupercapacitors(MSCs)that could operate in a wide working voltage window were developed by combining laser-direct-writing graphene(LG)electrodes with a phosphoric acid-nonionic surfactant liquid crystal(PA-NI LC)gel *** increase the flexibility and enhance the conformal ability of the MSC devices to anisotropic surfaces,after the interdigitated LG formed on the polyimide(PI)film surface,the devices were further transferred onto a flexible,stretchable and transparent polydimethylsiloxane(PDMS)substrate;this substrate displayed favorable flexibility and mechanical characteristics in the bending ***,the electrochemical performances of the symmetric MSCs with various electrode widths(300,400,500 and 600μm)were *** findings revealed that symmetric MSC devices could operate in a large voltage range(0–1.5 V);additionally,the device with a 300μm electrode width(MSC-300)exhibited the largest areal capacitance of 2.3 mF cm^(−2)at 0.07 mA cm^(−2)and an areal(volumetric)energy density of 0.72μWh cm−2(0.36 mWh cm^(−3))at 55.07μWcm−2(27.54mWcm−3),along with favorable mechanical and cycling *** charging for~20 s,two MSC-300 devices connected in series could supply energy to a calculator to operate for~130 s,showing its practical application potential as an energy storage ***,the device displayed favorable reversibility,stability and *** 12 months of aging in air at room temperature,its electrochemical performance was not altered,and after charging-discharging measurements for 5000 cycles at 0.07 mA cm^(−2),~93.6%of the areal capacitance was still retained;these results demonstrated its practical long-term application potential as an energy storage device.

关键词： cycling durability electrode

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A Chaotic Encryption Algorithm with Dynamic Key Enabled by Power-Division Multiplexed Transmission

A Chaotic Encryption Algorithm with Dynamic Key Enabled by P...

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2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023

作者： Ding, Yinchen Lei, Yi Lu, Qi Guo, Zhongyi Chen, Bin School of Computer Science and Information Engineering Hefei University of Technology Hefei China Hefei University of Technology Intelligent Interconnected Systems Laboratory of Anhui Province Hefei China Shanghai Jiao Tong University State Key Laboratory of Advanced Optical Communication Systems and Networks China

Using power-division multiplexing, a chaotic encryption method is proposed based on dynamic key generated from the instantaneously transmitted information. The influence of power allocation is analyzed and the securit... 详细信息

ISBN: (纸本)9798350312614

关键词： chaotic encryption dynamic key Optical fiber communication physical layer security power-division mul-tiplexing

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A Transformer-based Siamese Network For Word Image Retrieval In Historical Documents

A Transformer-based Siamese Network For Word Image Retrieval...

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Smart World Congress (SWC), IEEE

作者： Abir Fathallah Mounîm A. El-Yacoubi Najoua Essoukri Ben Amara LATIS- Laboratory of Advanced Technology and Intelligent Systems Université de Sousse Institut Supérieur de l’Informatique et des Techniques de Communication Sousse Tunisie Institut Polytechnique de Paris Samovar Telecom SudParis Palaiseau France Ecole Nationale d’Ingénieurs de Sousse LATIS- Laboratory of Advanced Technology and Intelligent Systems Université de Sousse Sousse Tunisie

The increasing availability of digitized historical documents has sparked a need for effective information processing tools to extract the valuable information contained within them. Word spotting, an area of focus in historical document analysis, involves identifying specific words within images of documents. In this paper, we propose a novel approach for word spotting in historical Arabic documents, utilizing improved feature representations for learning word images. More precisely, we put forward an end-to-end approach for generating word image descriptors, based on the Siamese vision transformer architectures. The model learning is guided by a contrastive loss objective. Additionally, we carry out transfer learning techniques by leveraging knowledge acquired from two distinct source domains to generalize model learning. The proposed approach utilizes the embedding space to evolve the word spotting system by projecting the query word image and all reference word images into the embedding space, where their similarity is determined based on their corresponding embedding vectors. Our method is evaluated on the historical Arabic VML-HD dataset and the results indicate that our approach significantly outperforms state-of-the-art methods.

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Generalization of Reflection Modeling in Complex Cable Structure with Impedance Mismatches

Generalization of Reflection Modeling in Complex Cable Struc...

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Impedance Spectroscopy (IWIS), International Workshop on

作者： Dhia Haddad Najoua Essoukri Ben Amara Olfa Kanoun Professorship Measurement and Sensor Technology Technische Universität Chemnitz Chemnitz Germany LATIS- Laboratory of Advanced Technology and Intelligent Systems Université de Sousse Ecole Nationale d'Ingénieurs de Sousse Sousse Tunisie

ISBN: (数字)9798331507626

ISBN: (纸本)9798331507633

Cable networks are essential in modern systems, but they can develop defects due to environmental factors or wear, leading to signal degradation or reduced performance. These defects cause signal reflections in transmission lines due to impedance mismatches, either within the cables or between the cables and their port loads. Such reflections can result from junctions, soft faults (partial impedance changes), or hard faults, i.e., open or short circuits. Diagnosing these faults, especially using Time-Domain Reflectometry (TDR), requires accurately modeling how impedance mismatches affect signal reflections. This paper presents a model that takes a comprehensive approach to addressing various sources of impedance mismatches. It covers junctions, soft and hard faults, and mismatches between cables and connected devices. The model's thoroughness is evident in its ability to handle complex scenarios such as heterogeneous junctions, soft faults, multi-path reflections, input port reflections, and multi-load reflections. Additionally, it evaluates signal reflection measurability based on the components of the propagation path, further enhancing its robustness. The model's accuracy is validated through simulations using the distributed RLCG cable model, comparing predicted reflection values with simulated signals. The results show strong agreement, confirming the model's effectiveness in diagnosing faults in complex cable networks. This should instill confidence in the model's practical application, as it accurately correlates signal reflections with specific defects, paving the way for efficient fault diagnosis.

关键词： Power cables Predictive models Transmission line measurements Reflection Mathematical models Impedance Circuit faults Junctions Integrated circuit modeling Load modeling

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Innovative E-Shaped Hairpin Filter Design for 5G Communications in Medical Applications 18th

Innovative E-Shaped Hairpin Filter Design for 5G Communicati...

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18th International Conference on Interdisciplinarity in Engineering, INTER-ENG 2024

作者： Achraou, Soufiane El Bakkali, Moustapha Zakriti, Alia El Khamlichi, Dahbi Ben Haddi, Souhaila Laboratory of Sciences and Advanced Technology Department of Civil and Industrial Sciences and Technologies National School of Applied Sciences Abdelmalek Essaâdi University Tetouan Morocco Intelligent Systems Design Laboratory Department of Physics Faculty of Sciences Abdelmalek Essaâdi University Tetouan Morocco

ISBN: (纸本)9783031816840

This paper presents a new miniaturized band-pass filter structure based on a Hairpin resonator configuration operating at 3.5 GHz and intended for 5G communications. The major contribution lies in modifying the geometry of the Hairpin resonator into an E-shaped form, enabling the attainment of desired performance. The filter, designed and fabricated on an FR4 planar substrate, occupies a compact size of 30 × 20 mm2. It offers very low insertion losses, approximately 0.5 dB, and return losses of around 26 dB, making it particularly suitable for advanced applications such as remote robotic surgery. This innovative design not only minimizes losses but also reduces footprint, providing an efficient and compact solution for the communication needs of 5G technology. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Robotic surgery

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Fast Brillouin frequency shift estimation using digital elevation modeling method in BOTDR 4

Fast Brillouin frequency shift estimation using digital elev...

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4th International Computational Imaging Conference, CITA 2024

作者： Zan, Wei Liu, Xinyi Yang, Mingyuan Bai, Qai Wang, Yu Jin, Baoquan Key Laboratory of Advanced Transducers and Intelligent Control Systems Ministry of Education Taiyuan University of Technology Taiyuan030024 China College of Physics and Optoelectronic Engineering Taiyuan University of Technology Taiyuan030024 China College of Electronic Information Engineering Taiyuan University of Technology Taiyuan030024 China

ISBN: (纸本)9781510688834

In the practical application of Brillouin optical time-domain reflectometry (BOTDR) in temperature and strain monitoring, enhancing measurement speed remains a critical challenge. This paper presents a novel method for Brillouin frequency shift (BFS) estimation utilizing level set and digital elevation modeling (DEM). The algorithm demonstrates superior time efficiency. At the same time, the accuracy of the scheme is proved in the comparation experiment and correlation analysis. The method reduces computational time, without spatial resolution or measurement error degradation. © 2025 SPIE.

关键词： Digital elevation model

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Simultaneous enhancement of sensitivity, resonant frequency, and overload capability of piezoresistive accelerometers by heavily-doped fillet structures on sensing beams

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IEEE Sensors Journal 2025年第11期25卷 19138-19146页

作者： Xia, Yong Wang, Tao Lv, Yang Han, Xiangguang Yu, Mingzhi Tan, Renjie Huang, Mimi Jia, Chen Zhao, Libo Sun, Lin Yang, Ping Lu, Dejiang Xi'an Jiaotong University School of Mechanical Engineering State Key Laboratory for Manufacturing Systems Engineering International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies Xi'an710049 China Ningbo CRRC Times Transducer Technology Co. LTD Department of Basic Research and Development Ningbo315021 China Research Institute for Intelligent Sensing Technology and System School of Instrument Science and Technology State Key Laboratory for Manufacturing Systems Engineering State Industry-Education Integration Center for Medical Innovations International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies Xi'an Jiaotong University Xi'an710049 China Shandong Laboratory of Advanced Materials and green Manufacturing at Yantai Yantai264000 China

High sensitivity, high natural frequency, and high overload capability are desired for accelerometers used in industrial applications, but simultaneously enhancing all is challenging. Here, via designing novel heavily-doped fillet structures, we prove the sensitivity, resonant frequency, and overload capability can be simultaneously enhanced. The enhancements are attributed to regulations of stress concentration and effective sensing regions by the heavily-doped fillets. The sensors with and without fillets are designed, fabricated, packaged, and tested. The results show a sensitivity of 0.31±0.02 mV/g@5V, a natural frequency of 37.87±2.09 kHz, and an overload of 10040.17±531.76 g for sensors with 10-μm fillets, which are superior to 0.27±0.01 mV/g@5V, 34.13±0.90 kHz, and 7368.55±843.92 g for those no-fillet counterparts. Additionally, the developed sensor further exhibited feasibility in air-bearing vibration monitoring. The proposed design is envisioned to give insights into the novel designs of high-performance stress-based sensors, including accelerometers, pressure sensors, and strain gauges. © 2001-2012 IEEE.

关键词： Strain gages

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Optimal Tracking Performance of Networked Control systems Under DoS and Its Applications

Optimal Tracking Performance of Networked Control Systems Un...

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2024 China Automation Congress, CAC 2024

作者： Ren, Xinyu Li, Bo Zhao, Feng Chen, Xiangyong Zhang, Xianhe Jiang, Xiaowei School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation of Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China School of Finance Anhui University of Finance and Economics Bengbu China Key Laboratory of Complex systems and Intelligent Computing in Universities of Shandong Linyi University Linyi China School of Automation and Electrical Engineering Key Laboratory of Complex systems and Intelligent Computing in Universities of Shandong Linyi University Linyi China School of Electrical Engineering and Automation Hubei Normal University Huangshi China

ISBN: (纸本)9798350368604

This paper investigates the optimal tracking performance (OTP) of multiple-input multiple-output (MIMO) discrete networked control systems (NCSs) under the influence of Denial of Service (DoS) attack, channel noise, and bandwidth constraints. The channel noise is assumed to be additive Gaussian white noise (AWGN). Due to the randomness of DoS attack, a Bernoulli distribution is used for DoS modeling. Utilizing frequency domain analysis methods, coprime factorization, all-pass decomposition, and Youla parameterization, an explicit expression for the optimal tracking performance (OTP) of the system under the two-degree-of-freedom (TDOF) controller is derived. The analysis indicates that non-minimum phase (NMP) zeros, unstable poles (UPs), DoS attack, and network constraints affect the OTP of NCSs. Finally, the theoretical results are validated through simulations of MIMO NCS and vehicle control system. © 2024 IEEE.

关键词： White noise

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On-Chip Wideband Bandpass Filter with High Frequency Selectivity and Low Insertion Loss Based on GaAs Integrated Passive Device technology

On-Chip Wideband Bandpass Filter with High Frequency Selecti...

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2023 IEEE MTT-S International Wireless Symposium, IWS 2023

作者： Dong, Jiancheng Zhu, Xu Yang, Tao Nie, Yi Wang, Yong Research Center of Advanced Rf Chips and Systems Nanhu Laboratory Jiaxing314001 China Laboratory of Electromagnetic Space Cognition and Intelligent Control Technology Beijing100191 China University of Electronic Science and Technology of China Chengdu611731 China

ISBN: (纸本)9798350336535

In this paper, an on-chip wideband bandpass filter (BPF) with high frequency selectivity and low insertion loss is proposed using gallium arsenide (GaAs) integrated passive device (IPD) technology. Multiple transmission zeros can be provided by the capacitors loaded on the series and parallel LC resonators for the proposed design. Comparing with the state-of-the-art on-chip wideband BPFs, the proposed design has the advantages of high frequency selectivity and low loss. The final filter centered at 1.93 GHz with the 3-dB fractional bandwidth of 64.2% is demonstrated, which exhibits the excellent shape factor (30-dB BW/3-dB BW) of 1.28 and the minimum insertion loss of 1.17 dB. © 2023 IEEE.

关键词： Gallium arsenide

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Automated Sewer Pipe Defect Classification Using Inspection Robot Imagery and Deep Neural Network 12

Automated Sewer Pipe Defect Classification Using Inspection ...

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12th RSI International Conference on Robotics and Mechatronics, ICRoM 2024

作者： Goharinezhad, Saleh Hadi, Alireza Mirzaei, Sayeh School of Intelligent Systems Engineering College of Interdisciplinary Science and Technology University of Tehran Advanced Service Robots Laboratory Department of Mechatronics Tehran Iran School of Engineering Science College of Engineering University of Tehran Tehran Iran

ISBN: (纸本)9798331529734

Sewer systems play a critical role in transporting wastewater. Efficient maintenance requires accurate identification of sewer pipe defects, traditionally performed through manual interpretation of Closed-Circuit Television (CCTV) images from robot inspections. This manual process is time-consuming, labor-intensive, and susceptible to human error. While conventional computer vision methods (machine learning methods) have been explored, they often involve extensive image pre-processing and intricate feature extraction. In this study, we propose an automated approach for classifying sewer pipe defects in Iran using deep learning, specifically leveraging the ResNet50 architecture for defect classification. We applied this deep convolutional neural network (CNN) model to automatically detect three common defect types as root intrusions, deposits, and open joints within a dataset 4630 images extracted from CCTV inspection videos of sewer pipes. Our model achieved an average testing accuracy of 96%, highlighting its potential for automating the interpretation of sewer CCTV footage. © 2024 IEEE.

关键词： Convolutional neural networks

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