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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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A Spatial Modes Filtering FETD Method for 3-D Periodic Structures

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Applied Computational Electromagnetics Society Journal 2025年第2期40卷 96-102页

作者： Wang, Yixin Wei, Bing Fan, Kaihang He, Xinbo Zhao, Sihan Department of Information Technology Shaanxi Police College Xi’an710021 China School of Physics Xidian University Xi’an710071 China School of Information and Communications Engineering Xi’an Jiaotong University Xi’an710049 China Science and Technology on Electromechanical Dynamic Control Laboratory Xi’an710065 China

– A spatial modes filtering (SMF) finite-element time-domain (FETD) method with periodic boundary condition (PBC) is proposed for efficiently analyzing the electromagnetic characteristics of 3-D periodic structures with partial fine structures. The system matrices of FETD become asymmetrical because of the introduction of PBC, which prevents the system eigenvalue analysis. By decomposing the system matrix into PBC-independent and PBC-related parts, the unstable spatial modes under the given large time step can be found and removed from the symmetrical PBC-independent system matrices. Then the system matrix equation and time marching of the SMF-FETD and SMF-FETD method based on local eigenvalue solution (LES-SMF-FETD) with PBC are obtained. Numerical results illustrate the efficiency and effectiveness of the SMF-FETD method with PBC based on non-uniform mesh for analyzing the transport properties of 3-D periodic structures. © ACES.

关键词： Eigenvalues and eigenfunctions

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Boosting solar hydrogen production via electrostatic interaction mediated ***-TiO_(2−x)biohybrid system

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Nano Research 2024年第6期17卷 5390-5398页

作者： Xingxing Lv Weicheng Huang Ya Gao Rui Chen Xiaowei Chen Danqing Liu Ling Weng Liangcan He Shaoqin Liu School of Material Science and Chemical Engineering Harbin University of Science and TechnologyHarbin 150040China School of Medicine and Health and Key Laboratory of Micro-systems and Micro-structures Manufacturing of Ministry of EducationHarbin Institute of TechnologyHarbin 150001China Department of Physics School of ScienceJimei UniversityXiamen 361021China Zhengzhou Research Institute Harbin Institute of TechnologyZhengzhou 450046China

Hydrogen is garnering growing attention as a green energy source with zero carbon ***,most hydrogen production technologies still rely on the consumption of fossil fuels and are therefore *** has driven the search for more environmentally friendly methods of hydrogen *** this work,we present an innovative approach to enhance hydrogen generation via electrostatic interaction in the Escherichia coli and defective titanium dioxide(TiO_(2−x))*** method involves narrowing the forbidden bandwidth of TiO2 while introducing defect bands into its conduction band to facilitate visible light absorption and efficient charge *** biohybrid system,consisting of *** and TiO_(2−x),demonstrates a remarkable capability to produce 1.25 mmol of hydrogen within a 3-h timeframe under visible light *** accomplishment signifies a 3.31-fold rise in hydrogen production in comparison to ***,signifying a substantial enhancement in hydrogen production ***,we delve into the alterations in biological metabolites associated with hydrogen production and the changes in electron transfer in different biohybrid *** provides valuable insights into the understanding of the intrinsic mechanisms that drive the *** work introduces a novel and promising avenue for achieving this exciting goal.

关键词： Escherichia coli TiO_(2−x)nanoparticles biohybrid system hydrogen production

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Energy conversion due to non-ideal electric field in separatrix region of magnetotail reconnection

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Earth and Planetary Physics 2024年第5期8卷 787-796页

作者： YiNan Liu Keizo Fujimoto JianQiang Wang XiaoChuan Duan School of Space and Environment Beihang UniversityBeijing 102206China Key Laboratory of Space Environment Monitoring and Information Processing Ministry of Industry and Information TechnologyBeijing 102206China School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China

A recent satellite observation has revealed the presence of energy conversion in the separatrix region(SR)of magnetotail reconnection,driven by perpendicular *** investigated this phenomenon by means of particle-in-cell simulations in two-dimensional(2D)and three-dimensional(3D)*** result indicates that in the 2D simulation,energy conversion in the SR is dominated by parallel components,with the main influencing factor being the parallel electric field,which is not consistent with the ***,a case that is similar to the observation is found in the 3D simulation,suggesting that the observation result may be attributed to the 3D *** findings provide a potential explanation for the satellite observation.

关键词： magnetic reconnection energy conversion PIC simulation separatrix region

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Hybridization chain reaction-based DNA nanomaterials for biosensing,bioimaging and therapeutics

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Chinese Chemical Letters 2024年第2期35卷 223-231页

作者： Zhaoyue Lv Mengxue Huang Peiran Li Mengdi Xu Chi Yao Dayong Yang Frontiers Science Center for Synthetic Biology Key Laboratory of Systems Bioengineering (MOE)Institute of Biomolecular and Biomedical EngineeringSchool of Chemical Engineering and TechnologyTianjin UniversityTianjin 300350China Zhejiang Institute of Tianjin University Ningbo 315201China

DNA nanomaterials hold great promise in biomedical fields due to its excellent sequence programmability,molecular recognition ability and *** chain reaction(HCR)is a simple and efficient isothermal enzyme-free amplification strategy of DNA,generating nicked double helices with repeated *** the design of HCR hairpins,multiple nanomaterials with desired functions are assembled by DNA,exhibiting great potential in biomedical ***,the recent progress of HCR-based DNA nanomaterials for biosensing,bioimaging and therapeutics are *** works are exemplified to demonstrate how HCR-based DNA nanomaterials are designed and *** challenges and prospects of the development of HCR-based DNA nanomaterials are *** envision that rationally designing HCR-based DNA nanomaterials will facilitate the development of biomedical applications.

关键词： DNA nanotechnology Hybridization chain reaction DNA nanomaterials Biosensing Bioimaging Therapeutics

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Superlow Power Consumption Artificial Synapses Based on WSe2 Quantum Dots Memristor for Neuromorphic Computing

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Research 2023年第2期2022卷 101-113页

作者： Zhongrong Wang Wei Wang Pan Liu Gongjie Liu Jiahang Li Jianhui Zhao Zhenyu Zhou Jingjuan Wang Yifei Pei Zhen Zhao Jiaxin Li Lei Wang Zixuan Jian Yichao Wang Jianxin Guo Xiaobing Yan Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province College of Electronic and Information EngineeringHebei UniversityBaoding 071002China Department of Clinical Laboratory Medicine Taizhou Central Hospital(Taizhou University Hospital)Taizhou 318000China College of Physics Science and Technology Hebei UniversityBaoding 071002China

As the emerging member of zero-dimension transition metal dichalcogenide,WSe2 quantum dots(QDs)have been applied to memristors and exhibited better resistance switching characteristics and miniaturization ***,low powe... 详细信息

关键词： Quantum dimension reliability

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Cache-Assisted Task Offloading and Resource Optimization for LEO Network 22

Cache-Assisted Task Offloading and Resource Optimization for...

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22nd International Conference on Optical Communications and Networks, ICOCN 2024

作者： Chai, Furong Zhang, Qi Xin, Xiangjun Wang, Yanxiang Li, Yuanfeng Sun, Meng Sun, Dandan Tian, Feng Tian, Qinghua Wang, Yongjun Yang, Leijing Wang, Fu Zhou, Sitong Beijing100876 China Beijing Key Laboratory of Space-ground Interconnection and Convergence BUPT Beijing100876 China Science and Technology on Information Systems Engineering Laboratory National Univ. of Defense Technology Changsha410073 China School of Information and Electronics Beijing Institute of Technology Beijing100081 China

We proposed a cache-assisted task offloading and resource allocation model and a deep reinforcement learning (DRL) based method for low-earth orbit (LEO) network. Our method takes obvious advantages in reducing delay ... 详细信息

ISBN: (纸本)9798350367652

关键词： Deep reinforcement learning

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Flexible prescribed performance-based approaching control for UAV aerial recovery under multiwind disturbances

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Chinese Journal of Aeronautics 2025年第4期38卷 420-436页

作者： Yanxiang WANG Honglun WANG Junfan ZHU Yiheng LIU Menghua ZHANG Zikang SU School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China The Science and Technology on Aircraft Control Laboratory Beihang UniversityBeijing 100191China Shenyuan Honors College Beihang UniversityBeijing 100191China Beijing Institute of Astronautical Systems Engineering Beijing 100076China College of Automation Engineering Nanjing University of Aeronautics and AstronauticsNanjing 211106China

This article investigates the approaching control for fixed-wing Unmanned Aerial Vehi-cle(UAV)aerial recovery in the presence of pre-specified performance requirements,complex air-flows,maneuvering flight of transport aircraft,and different initial ***,a novelcontrol-oriented Six-Degree-Of-Freedom(6-DOF)UAV model considering airflow disturbancesis established for better consistency with the actual UAV ***,to achieve satisfactory per-formance in the approaching process,a Flexible Appointed-time Prescribed Performance Control(FAPPC)algorithm,with the features of user-specified time convergence,no overshoot,indepen-dence from the initial value,and singularity-free,is ***,to solve the singularityissue encountered by the existing PPC methods in dealing with sudden disturbances,an adaptiveadjustment signal is introduced in FAPPC to perceive the threat of increasing error and relax thepreset boundaries ***,minimum learning parameter-based neural networkestimators are developed to approximate unknown lumped disturbances at a low ***,the stability of the closed system is analyzed via Lyapunov synthesis,and the effective-ness and advantages of the proposed control scheme are demonstrated via simulation andHardware-In-the-Loop(HIL)experimental validation.

关键词： Approaching control UAV aerial recovery Flexible prescribed performance control Sudden disturbances Neural network estimator

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Restoration of Simple Lens Captured Images based on Deep Multi-Scale Network 9

Restoration of Simple Lens Captured Images based on Deep Mul...

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9th International Conference on Big Data and information Analytics, BigDIA 2023

作者： Li, Weili Ren, Jiaqi Yin, Xiaoqing Dong, Yibo Wang, Yonghui National University of Defense Technology Science and Technology on Information Systems Engineering Laboratory Changsha China National University of Defense Technology College of Advanced Interdisciplinary Studies Changsha China

ISBN: (纸本)9798350330076

Inspired by computational imaging technology, simple lens can be combined with the image restoration algorithm to achieve satisfactoy imaging quality. Therefore, the conventional complex lens can be replaced with simple lens to reduce the cost and weight. However, images captured by simple-lens cameras suffer from spatial varying blur. An image restoration algorithm is proposed based on a deep multi-scale network for simple lens imaging systems. Image feature are processed and analyzed at multiple resolution levels to improve the learning ability of the network. The experimental and results prove that the image restoration algorithm we proposed can achieve promising restoration results. © 2023 IEEE.

关键词： Image reconstruction

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Smart Hybrid Mini-Xception Model and Eyebrow Displacement-Based Stress Level and Emotion Detection System 12th

Smart Hybrid Mini-Xception Model and Eyebrow Displacement-Ba...

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12th International Conference on Recent Trends in Computing, ICRTC 2024

作者： Bhuvana, S. Anantha Prabha, P. Deva Priya, M. Christy Jeba Malar, A. Karthick, S. School of Computer Science Engineering and Information Systems Vellore Institute of Technology Vellore India Department of Computer Science and Engineering PSG Institute of Technology and Applied Research Tamilnadu Coimbatore India Department of Computer Science and Engineering Karpagam College of Engineering Tamilnadu Coimbatore India Department of Information Technology Sri Krishna College of Technology Tamilnadu Coimbatore India Department of Computer Science and Engineering Delhi - NCR Campus SRM Institute of Science and Technology Uttar Pradesh Ghaziabad India

ISBN: (纸本)9789819789450

Stress is a state of mental or emotional strain due to adversative or challenging situations. A human may undergo bad life experiences or events, and it is a significant issue to be dealt in today's society. It comes as a result of family situations, health concerns, work environments and people's behavior among other things. It affects people of various ages, including children, teenagers, middle-aged people and senior citizens. It has serious consequences affecting human body and life. These problems can be addressed by detecting mental stress at an early stage. The main goal of the propounded system is to identify human stress using a pre-trained Mini-Xception model. Additional measures such as eye moments, mouth activity and head motion are employed for determining the level of human stress. FER2013 dataset is used and the system is tested for all kinds of emotions. Human stress level is experimented by capturing video using webcam. From the experimental outcomes, it is evident that the proposed system offers better performance in terms of Precision, Accuracy, Specificity and Sensitivity in contrast to traditional methods. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Eyebrow displacement FER2013 dataset Mini-Xception model Stress detection

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