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SSRN 2023年

作者： Ye, Lianxu Wu, Fan Xu, Ruixing Zhang, Di Lu, Juanjuan Wang, Chuanlong Dong, Anjiang Xu, Sichen Xue, Lejun Fan, Zixin Xu, Longjie Li, Kaifeng Li, Dong Kursumovic, Ahmed Zhao, Run Tang, Rujun Qiu, Lei Wang, Haiyan MacManus-Driscoll, Judith L. Jing, Qingshen Li, Weiwei Yang, Hao College of Physics MIIT Key Laboratory of Aerospace Information Materials and Physics Nanjing University of Aeronautics and Astronautics Nanjing211106 China College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing211106 China School of Microelectronics & Data Science Anhui University of Technology Maanshan243002 China School of Materials Engineering School of Electrical and Computer Engineering Purdue University West LafayetteIN47907 United States Jiangsu Key Laboratory of Thin Films School of Physical Science and Technology Soochow University Suzhou215006 China Jiangsu Key Laboratory of Micro and Nano Heat Fluid Flow Technology and Energy Application School of Physical Science and Technology Suzhou University of Science and Technology Suzhou215009 China Department of Materials Science & Metallurgy University of Cambridge 27 Charles Babbage Road CambridgeCB3 0FS United Kingdom James Watt School of Engineering University of Glasgow GlasgowG12 8LT United Kingdom State Key Laboratory of Mechanics and Control of Mechanical Structures Nanjing University of Aeronautics and Astronautics Nanjing211106 China

Face masks are key personal protective equipment for reducing exposure to viruses and other environmental hazards such as air pollution. Integrating flexible and wearable sensors into face masks can provide valuable insights into personal and public health. The advantages that a breath-monitoring face mask requires, including multi-functional sensing ability and continuous, long-term dynamic breathing process monitoring, have been underdeveloped to date. Here, we design an effective human breath monitoring face mask based on a flexible La0.7Sr0.3MnO3 (LSMO)/Mica respiration sensor. The sensor’s capabilities and systematic measurements are investigated under two application scenes, namely clinical monitoring mode and daily monitoring mode, to monitor, recognise, and analyse different human breath status, i.e., cough, normal breath, and deep breath. This sensing system exhibits super-stability and multi-modal capabilities in continuous and long-time monitoring of the human breath. We determine that during monitoring human breath, thermal diffusion in LSMO is responsible for the change of resistance in flexible LSMO/Mica sensor. Both simulated and experimental results demonstrate good discernibility of the flexible LSMO/Mica sensor operating at different breath status. Our work opens a route for the design of novel flexible and wearable electronic devices. © 2023, The Authors. All rights reserved.

关键词： Mica

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Lightweight Trust Model with Machine Learning scheme for secure privacy in VANET

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Procedia computer science 2021年 194卷 45-59页

作者： Muhammad Haleem Junejo Ab Al-Hadi Ab Rahman Riaz Ahmed Shaikh Kamaludin Mohamad Yusof Dileep Kumar Imran Memon Faculty of Electrical Engineering Universiti Teknologi Malaysia 81310 Skudai Johor Malaysia Department of Computer Science Faculty of Computing and Information Technology King Abdulaziz University Jeddah Saudi Arabia State Key Laboratory of Industrial Control Technology College of Control Science & Engineering Zhejiang University Hangzhou china Department of computer science bahria university Karachi campus sindh Pakistan

A vehicular ad hoc network (VANETs) is transforming public transport into a safer wireless network, increasing its safety and efficiency. The VANET consists of several nodes which include RSU (Roadside Units), vehicles, traffic signals, and other wireless communication devices that are communicating sensitive information in a network. Nevertheless, security threats are increasing day by day because of dependency on network infrastructure, dynamic nature, and control technologies used in VANET. The security threats could be addressed widely by using machine learning and artificial intelligence on the road transport nodes. In this paper, a comparison of trust and cryptography was presented based on applications and security requirements of VANET.

关键词： VANET Trust Model Machine Learning

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Exchange-Torque-Triggered Fast Switching of Antiferromagnetic Domains

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Physical Review Letters 2022年第13期128卷 137201-137201页

作者： Jia Xu Jing Xia Xichao Zhang Chao Zhou Dong Shi Haoran Chen Tong Wu Qian Li Haifeng Ding Yan Zhou Yizheng Wu Department of Physics and State Key Laboratory of Surface Physics Fudan University Shanghai 200433 China Institute of Physics Shaanxi University of Technology Hanzhong 723001 China School of Science and Engineering The Chinese University of Hong Kong Shenzhen Guangdong 518172 China College of Physics and Electronic Engineering Sichuan Normal University Chengdu 610068 China Department of Electrical and Computer Engineering Shinshu University 4-17-1 Wakasato Nagano 380-8553 Japan National Synchrotron Radiation Laboratory University of Science and Technology of China Hefei 230029 China National Laboratory of Solid State Microstructures Department of Physics Nanjing University Nanjing 210093 China Shanghai Research Center for Quantum Sciences Shanghai 201315 China

The antiferromagnet is considered to be a promising hosting material for the next generation of magnetic storage due to its high stability and stray-field-free property. Understanding the switching properties of the antiferromagnetic (AFM) domain state is critical for developing AFM spintronics. By utilizing the magneto-optical birefringence effect, we experimentally demonstrate the switching rate of the AFM domain can be enhanced by more than 2 orders of magnitude through applying an alternating square-wave field on a single crystalline Fe/CoO bilayer. The observed extraordinary speed can be much faster than that triggered by a constant field with the same amplitude. The effect can be understood as the efficient suppression of the pinning of AFM domain walls by the strong exchange torque triggered by the reversal of the Fe magnetization, as revealed by spin dynamics simulations. Our finding opens up new opportunities to design the antiferromagnet-based spintronic devices utilizing the ferromagnet-antiferromagnet heterostructure.

关键词： Antiferromagnetism Magnetic coupling Magnetization switching Magneto-optical effect Antiferromagnets Single crystal materials Surfaces Thin films Magnetization measurements Micromagnetic modeling Optical microscopy

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用于监测锂离子电池膨胀的通过屈曲实现超过两百倍电流放大的摩擦纳米发电机（英文）

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science Bulletin 2025年第2期 148-152页

作者：张懋熠胡超胜张彤彤 Chris R.Bowen 李锐黄永安苏业旺王中林杨亚 Beijing Key Laboratory of Micro-Nano Energy and Sensor Center for High-Entropy Energy and Systems Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of Sciences State Key Laboratory of Nonlinear Mechanics Institute of Mechanics Chinese Academy of Sciences School of Engineering Science University of Chinese Academy of Sciences School of Nanoscience and Technology University of Chinese Academy of Sciences Department of Mechanical Engineering University of Bath State Key Laboratory of Structural Analysis for Industrial Equipment Dalian University of Technology State Key Laboratory of Intelligent Manufacturing Equipment and Technology Huazhong University of Science and Technology School of Material Science and Engineering Georgia Institute of Technology

Sensors deployed within the Internet of Things(Io T) require a stable and continuous electrical energy supply [1]. The traditional approach to provide an energy supply relies primarily on battery power, which has specific shortcomings; these include integration difficulties, the need for frequent charging or replacement, and environmental pollution associated with battery production and disposal. To solve the challenge of delivering an energy supply to sensors, researchers have designed self-powered sensors or have produced power for sensors by scavenging mechanical energy from the surrounding environment. Electromagnetic generators [2],piezoelectric generators [3] and triboelectric nanogenerators(TENGs) [4,5] are common approaches to scavenge mechanical energy. TENGs have been widely used in the development of self-powered sensors and the supply of electrical energy to sensors due to their high performance, low cost, and wide range of potential materials [6].

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A Droplet-Based Multivolume Microfluidic Device for Digital Polymerase Chain Reaction

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SSRN 2022年

作者： Wei, Chunyang Yu, Chengzhuang Li, Shanshan Meng, Jiyu Li, Tiejun Cheng, Jingmeng Li, Junwei Hebei Key Laboratory of Robotic Sensing and Human-robot Interactions School of Mechanical Engineering Hebei University of Technology Tianjin300132 China State Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of Technology Tianjin300130 China Institute of Biophysics School of Health Sciences and Biomedical Engineering Hebei University of Technology Tianjin300401 China Department of Computer Science and Electrical Engineering Hebei University of Technology Langfang065000 China

Digital PCR plays an essential role in detecting and quantifying nucleic acid targets, while there are still challenges, including reduction of cost, simplification of operations, and system miniaturization. This work proposes a droplet-based multivolume microfluidic device for easy-to-operate and integrated droplet digital PCR (ddPCR). With an elaborate " asymmetrical droplet-splitting" microstructure, we have successfully prepared a small droplet population ( n = 1.5k, Φ = 59.1 ± 2.2 μm) and a large droplet population ( n = 1.5k, Φ = 106.3 ± 3.9 μm) in the same chip for realizing multivolume design, by which the ddPCR chip achieves a dynamic range of over 10^4 for DNA molecule quantification. The chip integrates droplet generation, droplet array self-assembly, droplet dPCR, and fluorescence detection on a single device. The quantitative capability of the ddPCR chip was evaluated by measuring template DNA at concentrations from 20 to 12500 copies/μL. Benefiting from the characteristics of wide dynamic range, easy operation, and miniaturization, our ddPCR device is expected to be used in the applications involving DNA molecule quantification, including diagnosis of genetic disease, single-cell gene expression, and point of care field. © 2022, The Authors. All rights reserved.

关键词： Drops

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Optimal Landing of Tilt-rotor Aircraft after Engine Failure Considering Pilot Inherent Limitations

Optimal Landing of Tilt-rotor Aircraft after Engine Failure ...

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IEEE International Conference on Robotics and Biomimetics

作者： Xufei Yan Renliang Chen Shiqiang Zhu Anhuan Xie Jason Gu Research Center for Intelligent Robotics Zhejiang Lab Hangzhou 311100 China. Zhejiang Engineering Research Center for Intelligent Robotics Hangzhou China National Key Laboratory of Science and Technology on Rotorcraft Aeromechanics College of Aeronautics Nanjing University of Aeronautics and Astronautics Nanjing Jiangsu China Intelligent Robot Research Center Zhejiang Lab Hangzhou Zhejiang China Department of Electrical and Computer Engineering Dalhousie University Halifax NS Canada

ISBN: (纸本)9781665481106

An augmented longitudinal rigid-body model is developed with a set of algebra equations describing the controls in the cockpit and the differential equations describing the pilot inherent limitations. The landing procedure after one engine failure is formulated into a nonlinear optimal control problem. XV-15 tilt-rotor aircraft is taken as the sample for the demonstration of landing in one engine failure during short takeoff. The results show that the total power required, thrust coefficient, longitudinal flapping angle and optimal controls are more relatively gentle than the solutions without considering the pilot inherent limitations. Compared with the basic longitudinal rigid-body model, the optimal solutions involve more control information.

关键词： Atmospheric modeling Optimal control Rotors Mathematical models History Aircraft propulsion Aircraft

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A non-uniform Gauss pseudospectral method based on curvature information for dynamic optimization problem

A non-uniform Gauss pseudospectral method based on curvature...

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第32届中国过程控制会议(CPCC2021)

作者： Lu Lv Qian Zhang Jianzhong Su Wenhai Wang Jianquan Yuan Zijian Tian Zhenghui Zhang Long Xiao Zeyin Zhang Xinggao Liu Zhejiang University NGICS Platform State Key Laboratory of Industrial Control TechnologyControl DepartmentZhejiang University Tianjin Jinhang Institute of Technical Physics Science and Technology on Complex System Control and Intelligent Agent Cooperative Laboratory Mathematics Department Zhejiang University

Dynamic optimization for hypersonic reentry vehicle(HRV) is a challenge for complex nonlinear constraints during a global strike *** to the strong nonlinearity of HRV,it is difficult to guarantee the precision of complex constraints on non-collocation points with traditional Gauss pseudospectral method(GPM).A novel approach which provides an optimal control strategy considering the above challenges is then ***,an adaptive mesh refinement strategy based on curvature information is presented to improve the accuracy of GPM.A collocation point redistribution method based on error analysis is then proposed to further improve the accuracy of the ***,a detection mechanism is proposed to correct the results on-line when the path constraint is not *** proposed approaches are finally applied to a classic HRV problem and compared with other literature work in *** research results validate the effectiveness of the proposed methods.

关键词： nonlinear optimal control Gauss pseudospectral method adaptive mesh refinement hypersonic reentry vehicle

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Functional Polyolefins and Composites

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Angewandte Chemie 2025年第12期137卷

作者： Assoc. Prof. Dr. Chen Tan Dr. Guifu Si Dr. Chen Zou Prof. Dr. Changle Chen Institutes of Physical Science and Information Technology Key Laboratory of Structure and Functional Regulation of Hybrid Materials of Ministry of Education Key Laboratory of Environment-Friendly Polymeric Materials of Anhui Province Anhui University Hefei Anhui 230601 China These authors contributed equally. State Key Laboratory of Precision and Intelligent Chemistry Department of Polymer Science and Engineering University of Science and Technology of China Hefei 230026

Polyolefins are simple hydrocarbons that require additional chemical modifications or functional additives to give them custom functions. Recent research in the development of functional polyolefins has surpassed the traditional approach of simply improving surface properties by incorporating polar moieties. Creating custom functionalized polyolefins by using specific functional units has attracted increasing attention. This review summarizes advances in preparing custom functionalized polyolefin materials using functional units such as comonomers, chain-transfer agents, post-polymerization modification reagents, and functional fillers. Exploring new functional units and innovative synthetic strategies will further enhance the performance and expand the applications of functional polyolefins.

关键词： Polyolefin Sustainability Comonomer Functionalization Composite

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key Technique of Constructing Collaborating Environment Based on OPENMBEE 6

Key Technique of Constructing Collaborating Environment Base...

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6th IEEE International Conference on computer and Communications, ICCC 2020

作者： Xue, Junjie Zhou, Junhua Shi, Guoqiang Jiang, Yanhong Xu, Shuying Quan, Hongyan State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System Engineering Beijing China Science and Technology on Space System Simulation Laboratory Beijing Simulation Center Beijing China School of Software Engineering East China Normal University Shanghai China School of Computer Science and Technology East China Normal University Shanghai China

ISBN: (纸本)9781728186351

With the development of integrated design and manufacturing technology, it is necessary to consider how to integrate a variety of modeling tools in the procedure of complex product design driven by the model-centric conception. In this work, we explored the development technology of multi-tool integration based on the Open Model Based Engineering Environment (OpenMBEE). We provide a multi-tool integration system solution, in which the integration schemes under different environments of LAN and virtual machine are designed, and the system scheme of multi-tool integration is also studied. From the idea of model design conception, we integrate the requirement analysis tools Cameo. On the basis, Model Management System (MMS) and View Editor(VE), as well as the specific model analysis tool MATLAB and 3D visual simulation tool Creo are also integrated seamlessly. The effectiveness of the proposed integration strategies is verified by some practical instances. That is verified that our study can provide an effective design idea for complex production. © 2020 IEEE.

关键词： MATLAB

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Implantable Brain-computer Interface Based On Printing technology

Implantable Brain-Computer Interface Based On Printing Techn...

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International Winter Workshop on Brain-computer Interface (BCI)

作者： Lusheng Liu Bo Wen Minjie Wang Aiping Wang Jing Zhang Yuan Zhang Song Le Lihua Zhang Xiaoyang Kang Shanghai Engineering Research Center of AI & Robotics MOE Frontiers Center for Brain Science State Key Laboratory of Medical Neurobiology Institute of Meta-Medical Academy for Engineering & Technology Laboratory for Neural Interface and Brain Computer Interface Engineering Research Center of AI & Robotics Ministry of Education Fudan University Shanghai China Ji Hua Laboratory Foshan Guangdong Province China Yiwu Research Institute of Fudan University Chengbei Road Yiwu City Zhejiang China Research Center for Intelligent Sensing Zhejiang Lab Hangzhou China

Implantable brain-computer interface is a braincomputer interaction device by implants optrodes/electrodes on the surface or deep of the brain. By stimulating and recording neural signals, we can explore the function of neural tissue and further guide disease treatment or brain signal decoding. This article reviews the development of printed electronics in implantable brain-computer interfaces, mainly discussing the advantages and disadvantages of printed electrodes in braincomputer interfaces and the possibility of printing technology used in optogenetic brain-computer interfaces, to illuminate a great prospect of printing technology in implantable braincomputer interfaces.

关键词： Printing Electrodes Implants Organic light emitting diodes Brain-computer interfaces Optogenetics Recording

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