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Self-powered sensor based on compressible ionic gel electrolyte for simultaneous determination of temperature and pressure

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InfoMat 2024年第7期6卷 62-75页

作者： Junjie Zou Yanan Ma Chenxu Liu Yimei Xie Xingyao Dai Xinhui Li Shuxuan Li Shaohui Peng Yang Yue Shuo Wang Ce-Wen Nan Xin Zhang State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Center of Smart Materials and Devices&International School of Materials Science and EngineeringWuhan University of TechnologyWuhanthe People's Republic of China Hubei Key Laboratory of Energy Storage and Power Battery School of MathematicsPhysics and Optoelectronic EngineeringHubei University of Automotive TechnologyShiyanthe People's Republic of China Information Materials and Intelligent Sensing Laboratory of Anhui Province Key Laboratory of Structure and Functional Regulation of Hybrid Materials of Ministry of EducationInstitutes of Physical Science and Information TechnologyAnhui UniversityHefeithe People's Republic of China State Key Lab of New Ceramics and Fine Processing School of Materials Science and EngineeringTsinghua UniversityBeijingthe People's Republic of China

The simultaneous detection of multiple stimuli,such as pressure and temperature,has long been a persistent challenge for developing electronic skin(eskin)to emulate the functionality of human ***,the demand for integrated power supply units is an additional pressing concern to achieve its lightweightness and ***,we propose a self-powered dual temperature–pressure(SPDM)sensor,which utilizes a compressible ionic gel electrolyte driven by the potential difference between MXene and Al *** SPDM sensor exhibits a rapid and timely response to changes in pressure-induced deformation,while exhibiting a slow and hysteretic response to temperature *** distinct response characteristics enable the differentiation of current signals generated by different stimuli through machine learning,resulting in an impressive accuracy rate of 99.1%.Furthermore,the developed SPDM sensor exhibits a wide pressure detection range of 0–800 kPa and a broad temperature detection range of 5–75C,encompassing the environmental conditions encountered in daily human *** dual-mode coupled strategy by machine learning provides an effective approach for temperature and pressure detection and discrimination,showcasing its potential applications in wearable electronics,intelligent robots,human–machine interactions,and so on.

关键词： e-skin gel electrolyte machine learning self-powered dual-mode sensor

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Ultra-Thin Fiber Accelerometer Based on Coherent Phase Detection for Testing Equipment Vibration Monitoring

Ultra-Thin Fiber Accelerometer Based on Coherent Phase Detec...

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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： Shi, Zhengxuan Tao, Yuran Li, Hao Fan, Cunzheng Sun, Qizhen Yan, Zhijun School of Optical and Electronic Information Huazhong University of Science and Technology Hubei Wuhan430074 China National Engineering Research Center for Next Generation Internet Access System Hubei Wuhan430074 China

We demonstrate ultra-thin fiber accelerometers based on coherent phase detection. With ultra-thin membrane transducer design, the fiber accelerometers can realize multipoint and multi-directional vibration detection for testing equipment with an acceleration resolution of 17.7 ug/vHz. © Optica Publishing Group 2024, © 2024 The Author(s)

关键词： Accelerometers

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Eco-friendly polysaccharide coatings for antifouling and dragreduction and potential application for marine devices

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Friction 2024年第4期12卷 726-744页

作者： Hao YANG Liguo QIN Wenhui ZHAO Fagla Jules MAWIGNON Hui GUO Yongkang WU Yali ZHANG Guangneng DONG Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System Institute of Design Science and Basic ComponentsSchool of Mechanical EngineeringXi’an Jiaotong UniversityXi’an 710049China Key Laboratory of Biomedical Information of Ministry of Education School of Life Science and TechnologyXi’an Jiaotong UniversityXi’an 710049China Department of Endocrinology First Affiliated Hospital of Medical CollegeXi'an Jiaotong UniversityXi’an 710061China

Traditional antifouling agents usually have a certain toxic effect on marine environments and non-target *** this study,Dictyophora indusiata polysaccharide(DIP)was applied as a natural antifouling surface modifier to prepare the surface coating for marine *** DIP coatings were prepared:*** spore polysaccharide(DISP),*** volva polysaccharide(DIVP),and *** embryonic body polysaccharide(DIEP).The antifouling,tribological,and anticorrosion behavior of the coatings were *** revealed that the three kinds of DIP coatings had excellent antifouling properties,which could effectively prevent the adhesion of Chlorella and the attachment of water-based and oily stains on the ***,the coatings showed great mechanical stability and could maintain an extremely low coefficient of friction(COF<0.05)after continuous *** drag reduction rate of the coated surfaces reached 5%,showing a powerful lubrication ***,the DIP coatings presented an outstanding corrosion resistance,where the equivalent circuit impedances were 4-9 orders of magnitude higher than the control *** research showed a promising prospect of surface coating fabrication with DIP for marine devices to achieve the purpose of antifouling and drag reduction.

关键词： Dictyophora indusiata polysaccharide(DIP)coating antifouling anticorrosion lubrication and drag reduction

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Quench behaviors of parallel-wound no-insulation high temperature superconductor coils

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Superconductivity 2024年第4期12卷 134-148页

作者： Yutong Fu Guangtong Ma Fangliang Dong Yawei Wang School of Electronic Information and Electrical Engineering Shanghai Jiao Tong UniversityShanghai200240China School of Electrical Engineering and State Key Laboratory of Rail Transit Vehicle System Southwest Jiaotong UniversityChengdu610031China Francis Bitter Magnet Laboratory/Plasma Science and Fusion Center Massachusetts Institute of TechnologyCambridgeMA 02139USA

No-insulation(NI)high-temperature superconducting(HTS)coil wound with parallel-stacked tapes emerges as a prospective choice for high-field fusion magnets owing to lower inductance and faster ramping *** parallel stacked-tape structure leads to new current redistribution among stacked tapes in each turn during local quenches,which also considerably changes the current redistribution behavior through inter-turn ***,quench behaviors of parallel-wound no-insulation(PWNI)coil should differ from its counterpart wound with single tape,which are still *** study is to illustrate quench behaviors of PWNI HTS coils induced by local hot spot.A multi-physics model integrating an equivalent circuit network,a FEM heat transfer module,and a FEM T-A model is developed to analyze the electromagnetic and thermal characteristics of PWNI HTS coils during *** show that the transport currents are mainly redistributed among parallel-stacked tapes through terminal resistances when a local hot spot happens on one tape,while being less dependent on turn-to-turn electrical *** leads to a coupling current within PWNI coils that is not present in NI coils wound with single tape(single-wound no-insulation(SWNI)coil),resulting in a highly non-uniform transport current distribution among parallel-wound *** reduced terminal joint resistances further enhance the coupling current,potentially leading to an extra overcurrent quench risk in PWNI ***,the current redistribution between parallel-stacked tapes inhibits the turn-to-turn current redistribution in the PWNI coil,thus significantly reducing its magnetic field degradation under a high heat disturbance,which can be almost less than half of the SWNI counterpart in this *** results offer important theoretical guidance to safety operation and robustness improvement of high-field HTS magnets wound by PWNI technique.

关键词： Parallel-wound no-insulation(PWNI)coil Quench behaviors Current redistribution High temperature superconducting(HTS)magnet

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Multifunctional Semiconducting Fibers for Visual Detection of Sarin Gas

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Advanced Fiber Materials 2023年第5期5卷 1632-1642页

作者： Maomao Yao Ruilong Zhou Mingshuai Yuan Haoyu Wang Le Wang Hengda Sun Yanyan Fu Ru Xiao Hongzhi Wang Gang Wang Meifang Zhu State Key Laboratory for Modification of Chemical Fibers and Polymer Materials College of Materials Science and EngineeringDonghua UniversityShanghai 201620China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China State Key Lab of Transducer Technology Shanghai Institute of Microsystem and Information TechnologyChinese Academy of SciencesShanghai 200050China

There is a growing need for protective instruments that can be used in extreme environments,including those encountered during exoplanet exploration,anti-terrorism activities,and in chemical *** instruments should have the ability to detect external threats visually and monitor internal physiological signals in real time for maximum *** address this need,multifunctional semiconducting fibers with visual detection ranging from yellow to red and near-field communication(NFC)capabilities have been developed for use in personal protective clothing.A composite conductive yarn with semiconducting fluorescent probe molecules is embroidered on the clothing,forming an NFC coil that allows for the visual monitoring of atmospheric safety through color *** fluorescence detection system was able to selectively detect diethyl chlorophosphate(DCP),a substitute for the toxic gas sarin,with a detection limit of 6.08 ppb,which is lower than the life-threatening concentration of sarin ***,an intelligent protective suit with the abovementioned dual functions was fabricated with good mechanical cycle stability and ***-time physiological signals such as the temperature and humidity of the wearer could be read through the NFC *** intelligent protective suits can quickly provide an early warning to the identified low-dose DCP and evaluate the health of wearer according to the changes in physiological *** study offers a smart,low-cost strategy for designing intelligent protective devices for extreme environments.

关键词： Multifunctional semiconducting fibers Visual detection Near-field communication(NFC) Fluorescence detection Intelligent protective suits

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Progressive Exploration-Conformal Learning for Sparsely Annotated Object Detection in Aerial Images 38

Progressive Exploration-Conformal Learning for Sparsely Anno...

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38th Conference on Neural information Processing systems, NeurIPS 2024

作者： Lu, Zihan Wang, Chenxu Xu, Chunyan Zheng, Xiangwei Cui, Zhen PCA Lab Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China Shandong Normal University Jinan China

The ability to detect aerial objects with limited annotation is pivotal to the development of real-world aerial intelligence systems. In this work, we focus on a demanding but practical sparsely annotated object detection (SAOD) in aerial images, which encompasses a wider variety of aerial scenes with the same number of annotated objects. Although most existing SAOD methods rely on fixed thresholding to filter pseudo-labels for enhancing detector performance, adapting to aerial objects proves challenging due to the imbalanced probabilities/confidences associated with predicted aerial objects. To address this problem, we propose a novel Progressive Exploration-Conformal Learning (PECL) framework to address the SAOD task, which can adaptively perform the selection of high-quality pseudo-labels in aerial images. Specifically, the pseudo-label exploration can be formulated as a decision-making paradigm by adopting a conformal pseudo-label explorer and a multi-clue selection evaluator. The conformal pseudo-label explorer learns an adaptive policy by maximizing the cumulative reward, which can decide how to select these high-quality candidates by leveraging their essential characteristics and inter-instance contextual information. The multi-clue selection evaluator is designed to evaluate the explorer-guided pseudo-label selections by providing an instructive feedback for policy optimization. Finally, the explored pseudo-labels can be adopted to guide the optimization of aerial object detector in a closed-loop progressive fashion. Comprehensive evaluations on two public datasets demonstrate the superiority of our PECL when compared with other state-of-the-art methods in the sparsely annotated aerial object detection task. The code will be available at: https://***/SAOD-research/PECL. © 2024 Neural information processing systems foundation. All rights reserved.

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An autonomous collision avoidance system unified with the TFMS and the FCS-MPC strategy for USV 41

An autonomous collision avoidance system unified with the TF...

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第41届中国控制会议

作者： Yuanyuan Yu Yunsheng Fan Yun Zhang Dongdong Mu Xiaojie Sun College of Marine Electrical Engineering Dalian Maritime University Key Laboratory of Technology and System for Intelligent Ships of Liaoning Province College of Information Engineering Henan University of Science and Technology

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In order to realize the autonomous collision avoidance of unmanned surface vehicle(USV),a collision avoidance system(CAS) for USV based on the Tunable Fast Marching Square method(TFMS) and the Finite Control Set-Model Predictive Control(FCS-MPC) strategy is ***,the navigation simulation model of the USV is ***,the TFMS is adopted to get the optimal path from start point to destination point in given ***-MPC is used under the constraints of local environment and dynamic model of USV to ensure collision avoidance during ***,the track point in the global planned path is served as the local target points of collision avoidance strategy,so the USV can arrive at the final target points safely and *** experiments are carried out with real coastal map as environmental constraints to validate the effectiveness of proposed CAS.

关键词： USV collision avoidance TFMS FCS-MPC

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Cooperative Caching for Scalable Video Coding Using Value-Decomposed Dimensional Networks

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China Communications 2022年第9期19卷 146-161页

作者： Youjia Chen Yuekai Cai Haifeng Zheng Jinsong Hu Jun Li Fujian Key Lab for Intelligent Processing and Wireless Transmission of Media Information College of Physics and Information EngineeringFuzhou UniversityFuzhou 350000China School of Electronic and Optical Engineering Nanjing University of Science and TechnologyNanjing 210000China

Scalable video coding(SVC)has been widely used in video-on-demand(VOD)service,to efficiently satisfy users’different video quality requirements and dynamically adjust video stream to timevariant wireless *** the 5G network structure,we consider a cooperative caching scheme inside each cluster with SVC to economically utilize the limited caching storage.A novel multi-agent deep reinforcement learning(MADRL)framework is proposed to jointly optimize the video access delay and users’satisfaction,where an aggregation node is introduced helping individual agents to achieve global observations and overall system ***,to cope with the large action space caused by the large number of videos and users,a dimension decomposition method is embedded into the neural network in each agent,which greatly reduce the computational complexity and memory cost of the reinforcement *** results show that:1)the proposed value-decomposed dimensional network(VDDN)algorithm achieves an obvious performance gain versus the traditional MADRL;2)the proposed VDDN algorithm can handle an extremely large action space and quickly converge with a low computational complexity.

关键词： cooperative caching multi-agent deep reinforcement learning scalable video coding value-decomposition network

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Collision avoidance control algorithm for USV based on dynamic constraints 41

Collision avoidance control algorithm for USV based on dynam...

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第41届中国控制会议

作者： Yun Zhang Yunsheng Fan Yuanyuan Yu Dongdong Mu Xiaojie Sun College of Marine Electrical Engineering Dalian Maritime University Key Laboratory of Technology and System for Intelligent Ships of Liaoning Province College of Information Engineering Henan University of Science and Technology

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Autonomous planning of navigation trajectory is a key research element of USV and a basic condition for safe and autonomous *** this paper,an autonomous planning collision avoidance control algorithm for USV is *** is used to trajectory planning and dynamic window method for real-time collision avoidance,a hybrid planning algorithm of dynamic path planning algorithm and parallel planning of autonomous collision avoidance control algorithm is built to achieve autonomous navigation control of *** setting method of local target points has been improved to shorten the running time of the control *** validation was carried out in different static and dynamic environments.A realistic collision avoidance environment model is established by extracting the environmental data from the port map of Dalian *** result demonstrates that the method is effective in controlling the USV to sail safely and quickly in complex real scenarios with various dynamic impediments.

关键词： Dynamic window method Unmanned Surface Vehicle Autonomous obstacle avoidance

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Grid Load Prediction Based on Improved Particle Swarm Optimization BP Neural Network 7

Grid Load Prediction Based on Improved Particle Swarm Optimi...

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7th International Conference on Intelligent information Processing, ICIIP 2022

作者： Lu, Jie Xie, Xiaolan School of Information Science and Engineering Guilin University of Technology China Guangxi Key Laboratory of Embedded Technology and Intelligent System China

ISBN: (纸本)9781450396714

Power grid load forecasting is an optimization of power grid structure deployment, which can achieve a dynamic balance between power production and use. Large errors in forecasting will lead to increased operation and maintenance costs. In view of the above problems, this paper proposes an algorithm based on improved particle swarm optimization BP neural network to solve the current power grid load forecasting, balance power production and use, and provide a theoretical basis for the economic benefits of energy production departments in ensuring users' reasonable power *** simulation results show that the improved particle swarm optimization BP neural network algorithm has better and more accurate effect in solving the power grid load prediction. © 2022 ACM.

关键词： Forecasting

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