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Strain-regulated sensing properties of α-Fe_(2)O_(3) nano-cylinders with atomic carbon layers for ethanol detection

Journal of Materials Science & technology 2021年第9期68卷 132-139页

作者： Huajing Xiong Jianan Fu Jinyao Li Rashad Ali Hong Wang Yifan Liu Hua Su Yuanxun Li Woon-Ming Lau Nasir Mahmood Chunhong Mu Xian Jian School of Materials and Energy University of Electronic Science and Technology of ChinaChengdu 611731China Institute of Chemistry National Institute of Measurement and Testing Technology of ChinaChengdu 610021China School of Electronic Science and Engineering University of Electronic Science and Technology of ChinaChengdu 611731China Jiangxi Guo Chuang Industrial Park Development Co. LtdGanzhou 341000China Institute of Fundamental and Frontier Science University of Electronic Science and Technology of ChinaChengdu 610054China School of Engineering RMIT University124 La Trobe Street3001 MelbourneVictoriaAustralia National Engineering Research Center of Electromagnetic Radiation Control Materials State Key Laboratory of Electronic Thin Films and Integrated DevicesUniversity of Electronic Science and Technology of ChinaChengdu 611731China

The sensitivity of ethanol sensor is of paramount importance in a variety of areas,including chemical production with ethanol,alcohol testing for driving safety,***,α-Fe_(2)O_(3) nano-cylinders with atomic carbon layers are synthesized,for the first time,through in-situ catalytic chemical vapor deposition combined with hydrothermal techniques for the detection of *** reported α-Fe_(2)O_(3)@C nano-cylinders with double surficial strain effects deliver an ethanol detection sensitivity of 8 times as compared with α-Fe_(2)O_(3) nano-cylinders,10 times higher as compared with its detection sensitivity to ammonia,para-xylene,methanol and *** sensor also exhibits over-14-day operation stability and the minimum detection limit of 10 *** our best knowledge,the performances surpass those of previously reported α-Fe_(2)O_(3).Such attractive performances are attributed to the enhanced charge transfer in α-Fe_(2)O_(3) owing to the double surficial strain effects of α-Fe_(2)O_(3)@C nano-cylinders and the efficient adsorption of ethanol with atomic carbon layers.

关键词： Gas sensor Nano-cylinder Hybrid microstructure Sensitivity Carbon coating

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PCDH-based nonlinear H∞control of VSC-HVDC with wind power integrated

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Journal of control and Decision 2021年第1期8卷 41-49页

作者： Xingyu Lv Bangjun Lei Shumin Fei Foreign language Teaching Center Guizhou Institute of TechnologyGuiyangPeople’s Republic of China Key Laboratory of Power Dig Data of Guizhou Province School of Electrical and Information EngineeringGuizhou Institute of TechnologyGuiyang 550003People’s Republic of China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSchool of AutomationSoutheast UniversityNanjingPeople’s Republic of China

Based on the port-controlled dissipative Hamiltonian(PCDH)system,a novel nonlinear(NN)H∞control is designed for the wind farm side(WFS)voltage source converter(VSC)of VSC-based high-voltage direct current(VSC-HVDC)transmission system connected large wind ***,the uncertain nonlinear dynamical model of WFS VSC in the VSC-HVDC is established by taking external disturbances and parameter variations into ***,the dissipative Hamiltonian structure of the WFS VSC system is constructed by means of variable ***,on the basis of the obtained dissipative Hamiltonian structure,a NN H∞control is put ***,the simulation results show that the proposed NN H∞control gains the advantage over the interconnection and damping assignment passivity-based(IDA-PB)control.

关键词： VSC-HVDC large wind farm Hamiltonian function method nonlinear H∞control

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Light Output Efficiency of Surface-Mount Lamp Beads Based on New Solid–Liquid UV Encapsulation 21

Light Output Efficiency of Surface-Mount Lamp Beads Based on...

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21st China International Forum on Solid State Lighting and 10th International Forum on Wide Bandgap Semiconductors, SSLCHINA: IFWS 2024

作者： Wei, Wei Liuming, Li Chunpeng, Gu Lei, Chen Jinde, Song Zhenghao, Xia Haozhong, Guo Xinxing, Wang Zenglei, Li Xiaoting, Wang Mingxue, Zou Chenyang, Li Jun, Zou Zhizhong, Chen Peng, Wu Yitao, Liao Guoyi, Zhang Jiangsu Intelligent Optoelectronic Device And Measurement And Control Engineering Research Center Yancheng Normal University Jiangsu Province Yancheng City224007 China Xuyu Optoelectronics Co. Ltd Shenzhen518101 China College of Physics Peking University Haidian District Beijing100091 China Shanghai Institute of Technology Shanghai201418 China Xuzhou Liyu Advanced Technology Co. Ltd China Yancheng Believe Technology Co. Ltd Yancheng224000 China Greatshine Semiconductor Technology Co.LTD. Zhongshan528400 China Semiconductor Research Center Hon Hai Research Institute New Taipei city236 China Dongguan Institute of Opto-electronics Peking University Dongguan523808 China Beijing Perfectlight Technology Co. LTD Fengtai District Beijing100006 China

ISBN: (数字)9798331541149

ISBN: (纸本)9798331541149

To address the problem of low efficiency of AlGaN-based UV LED chips, this study developed a type of solid–liquid packaged UV LED chip and analyzed its light output efficiency under different parameters. The light output efficiency of UV LED chips with and without solid–liquid encapsulation were analyzed using different reflective materials inside the chips. It was found that Au, Ag, and total-absorption reflective materials could not improve the light-output efficiency of UV LED liquid packaging. In addition, Al reflective materials and total reflection photonic crystals can improve the light output efficiency of UV LED liquid packaging, with the highest efficiency increase reaching over 74%. The light output efficiencies of liquid packaging with quartz cover sheets of different thicknesses were analyzed;the results revealed that the thinner the quartz cover sheet, the higher the efficiency;Under the same conditions, the efficiency improvement of UV LED surface-mount beads is not significant with different thicknesses of quartz cover sheets;Under the same thickness of quartz cover, Al reflective material and total reflection photonic crystal can improve the light output efficiency of UV LED liquid packaging. ©2024 IEEE.

关键词： Photonic crystals

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Finite-time robust control for transformerless H-bridge cascaded STATCOM with star configuration

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Journal of control and Decision 2021年第2期8卷 106-115页

作者： Xingyu Lv Bangjun Lei Shumin Fei Foreign Language Teaching Center Guizhou Institute of TechnologyGuiyangPeople’s Republic of China Key Laboratory of Power Dig Data of Guizhou Province School of Electrical and Information EngineeringGuizhou Institute of TechnologyGuiyang 550003People’s Republic of China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSchool of AutomationSoutheast UniversityNanjingPeople’s Republic of China

This article presents a finite-time robust control(FTRC)of a transformerless STATCOM based on a cascaded multilevel H-bridge converter(CMHC)with star *** FTRC is first proposed for the current loop control of a CMHC-based transformerless STATCOM by using the finite time robust control *** the parameters,perturbations and external disturbances into account and using coordinate transformation method,the nonlinear dynamic model of the CMHC-based transformerless STATCOM is transformed into a standard nonlinear port-controlled dissipative Hamiltonian(PCDH)*** on the PCDH structure,an FTRC is designed for the CMHC-based transformerless STATCOM to improve the transient stability and oscillation damping of power ***,the simulation results demonstrate that the FTRC has better dynamic performance and strong robustness in comparison with the passivity-based control of the CMHC-based transformerless STATCOM.

关键词： Cascaded H-bridge converter transformerless STATCOM finite time robust control oscillations damping transient stability

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Structural reliability analysis based on improved parallel sampling algorithm

Structural reliability analysis based on improved parallel s...

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10th International Symposium on Test Automation & Instrumentation (ISTAI 2024)

作者： Yifan Yu Liyong Wang Ximing Zhang College of Mechanical & Energy Engineering Beijing University of Technology Beijing People's Republic of China Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing People's Republic of China China North Vehicle Research Institute Beijing People's Republic of China

ISBN: (数字)9781837241910

Aiming at the problem of computational inefficiency of traditional reliability analysis methods when dealing with large-scale structural systems, this paper proposes a reliability analysis method that improves the parallel sample algorithm. The method adopts the Kriging model to fit the performance function and introduces the mean square error to evaluate the uncertainty of the sample points; In addition, the positional relationship between the sample points is taken into consideration to avoid overfitting the model; To improve the efficiency of the model fitting, the sample points are divided into multiple clusters using the Mini batch k-means clustering algorithm in parallel computation. Finally, it is verified by multiple random variable cases that the method can significantly improve the computational efficiency while guaranteeing the relative error compared with other reliability analysis methods.

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A Hybrid Machine Learning Approach to Anomaly Detection in Industrial IoT

A Hybrid Machine Learning Approach to Anomaly Detection in I...

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Advances in Computing, communication, Embedded and Secure Systems (ACCESS), International Conference on

作者： Jayesh T P Pandiaraj K Arya Paul Ranjeesh R Chandran Prasanth P Menon Department of Electronics and Communication Kalasalingam Academy of Research and Education Srivilliputhur Tamil Nadu India Department of Electronics and Communication Adi Shankara Institute of Engineering and Technology Kerala India Department of Instrumentation and Control Engineering Kalasalingam Academy of Research and Education Srivilliputhur Tamil Nadu India

IIoT is the integration of conventional IoT principles into industrial operations. IIoT has a wide range of practical applications, including but not limited to supply chain management, connected cars, smart grids, smart cities, and smart homes. Regrettably, these systems are increasingly becoming the focus of cybercrime attacks. Machine learning is a promising technology for creating and implementing resilient security measures in IIoT networks. A new and innovative approach to detecting cyberattacks in the IIoT is proposed in this document, through the use of a hybrid machine classifier (HMC). The HMC model is a unique amalgamation of different ML models, such as K-nearest neighbor (KNN), extra trees (ET), gradient boosting (GB), AdaBoost (AB), linear discriminant analysis (LDA), ), naive Bayes (NB), support vector machine (SVM), random forest (RFlinear regression (LR), and classification and regression tree (CART). The DS2OS dataset is used to evaluate the proposed method's effectiveness. Several performance metrics, including recall, precision, accuracy, specificity, F1 score, detection rate, and ROC are used to evaluate the system's performance. The proposed model successfully distinguishes between normal and attack traffic, achieving an accuracy rate of 99.7% and 99.8%, respectively. To evaluate the effectiveness of the proposed method, its performance metrics were compared to those of other advanced attack detection algorithms. The outcomes demonstrated that the proposed model outperformed other ML and DL-based techniques

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Energy Minimization Oriented Resource Allocation for Relay Assisted NOMA-MEC Networks

Energy Minimization Oriented Resource Allocation for Relay A...

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IEEE Conference on Global communications (GLOBECOM)

作者： Qianru Wang Liping Qian Yuan Wu Xiaoniu Yang College of Information Engineering Zhejiang University of Technology Hangzhou China State Key Laboratory of Internet of Things for Smart City University of Macau China Science and Technology on Communication Information Security Control Laboratory Jiaxing China Institute of Cyberspace Security Zhejiang University of Technology Hangzhou China

ISBN: (数字)9798350351255

ISBN: (纸本)9798350351262

With the growing demand for image transmission, there is a need for solutions that offer low energy consumption and low latency. In this paper, we present a novel relay-assisted system based on non-orthogonal multiple access (NOMA) and mobile edge computing (MEC). Our proposed system compresses images at the device end, decompresses them at either a relay or a cloud server (CS). The primary objective is to minimize system energy consumption under given task delay constraints. Considering that this is a non-convex optimization problem, we solve it by decomposing it into a continuous subproblem and a discrete subproblem. To solve the continuous subproblem, we convexify it by introducing new parameters and change variables to get the optimal the computing power of devices, relay and CS, sampling rate of devices, transmission power of devices and relay. To solve the discrete subproblem, we propose a cross-entropy (CE) algorithm to obtain the optimal decompression decision and subcarrier allocation decision. Simulation results demonstrate the accuracy and effectiveness of our algorithm in optimizing total energy consumption compared to the Linear Interactive and General Optimizer (LINGO) and frequency division multiple access (FDMA) methods.

关键词： Performance evaluation NOMA Energy consumption Image coding Multi-access edge computing Simulation Optimization methods Resource management Servers Relays

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Adaptive neural network output-feedback tracking control for switched nonlinear ship maneuvering systems with time delays under arbitrary switching

Adaptive neural network output-feedback tracking control for...

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2022 Chinese Automation Congress, CAC 2022

作者： Li, Zhenhua Ren, Xiangxuan Dong, Botao Chen, Hong Zhang, Weidong SJTU Sanya Yazhou Bay Institute of Deepsea Science and Technology Sanya572024 China Department of Automation Shanghai Jiao Tong University Shanghai200240 China College of Mechatronics and Control Engineering Shenzhen University Shenzhen518061 China School of Information and Communication Engineering Hainan University Haikou570228 China

ISBN: (纸本)9781665465335

This paper focuses on the tracking control problem for switched nonlinear ship maneuvering time-delay systems with only a heading angle available by adaptive neural network (NN) output feedback. Using the backstepping method, an adaptive NN control mechanism is designed to solve the problem cooperated with the state observer. The uncertain terms of the system are approximated by NNs, and the state observer is designed to estimate the yaw rate and rudder angle. The unknown time delays are overcome by exploiting the common Lyapunov-Krasovskii functionals (CLKFs). Combined with error transformation, the proposed control method guarantees that i) all of the signals for the system are semi-global uniformly ultimately boundedness (SGUUB) under arbitrary switching;and, ii) the tracking error of system output keeps within a small neighborhood around the origin. The results of simulation results are shown to demonstrate the feasibility of the control strategy. © 2022 IEEE.

关键词： Time delay

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Research on the Influence of Non-Conductor on the Weight Function of Electromagnetic Flowmeter

Research on the Influence of Non-Conductor on the Weight Fun...

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2021 Asia-Pacific Conference on Image Processing, Electronics and Computers, IPEC 2021

作者： Li, Xuejing Sun, Lijun Shanghai Institute of Measurement and Testing Technology Shanghai201203 China Shanghai Key Laboratory of On-line Testing and Control Technology Shanghai201203 China School of Electrical and Information Engineering Tianjin University Tianjin300072 China

The demand for multiphase flow measurement is widespread in petrochemical and other fields. Due to its small size, easy maintenance, and no moving parts, electromagnetic flowmeters are widely used in single fluid measurement. With the increasing application of traditional electromagnetic flowmeters in petrochemical and other fields, the problems of traditional electromagnetic flowmeters in multiphase flow measurement applications have been discovered. How to optimize the structure of the electromagnetic flowmeter and how to improve the measurement accuracy has become a new research focus. On the basis of a large number of literature studies, this research is based on the finite element method, and systematically studies the influence of multiphase flow on the weight function of electromagnetic flowmeters. Firstly, modeling the existence of non-conductive objects in the electromagnetic flowmeter. Secondly, analyze the weight function characteristics of the non-conductive objects on the electromagnetic flowmeter from two angles of different radii and different positions. The conclusions of this study can provide a certain reference basis for the electromagnetic flowmeter in the measurement of multiphase flow. © Published under licence by IOP Publishing Ltd.

关键词： Petrochemicals

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Cooperative Automated Driving for Bottleneck Scenarios in Mixed Traffic

Cooperative Automated Driving for Bottleneck Scenarios in Mi...

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IEEE Symposium on Intelligent Vehicle

作者： M.V. Baumann J. Beyerer H.S. Buck B. Deml S. Ehrhardt Ch. Frese D. Kleiser M. Lauer M. Roschani M. Ruf Ch. Stiller P. Vortisch J.R. Ziehn Institute for Transport Studies (IfV) Karlsruhe Institute of Technology (KIT) Karlsruhe Germany Fraunhofer IOSB Karlsruhe Germany Platomo GmbH Karlsruhe Germany Institute for Human and Industrial Engineering (ifab) Karlsruhe Institute of Technology (KIT) Karlsruhe Germany Department of Measurement and Control (MRT) Karlsruhe Institute of Technology (KIT) Karlsruhe Germany Fraunhofer ICT Pfinztal Germany

Connected automated vehicles (CAV), which incorporate vehicle-to-vehicle (V2V) communication into their motion planning, are expected to provide a wide range of benefits for individual and overall traffic flow. A frequent constraint or required precondition is that compatible CAVs must already be available in traffic at high penetration rates. Achieving such penetration rates incrementally before providing ample benefits for users presents a chicken-and-egg problem that is common in connected driving development. Based on the example of a cooperative driving function for bottleneck traffic flows (e.g. at a roadblock), we illustrate how such an evolutionary, incremental introduction can be achieved under transparent assumptions and objectives. To this end, we analyze the challenge from the perspectives of automation technology, traffic flow, human factors and market, and present a principle that 1) accounts for individual requirements from each domain; 2) provides benefits for any penetration rate of compatible CAVs between 0 % and 100 % as well as upward-compatibility for expected future developments in traffic; 3) can strictly limit the negative effects of cooperation for any participant and 4) can be implemented with close-to-market technology. We discuss the technical implementation as well as the effect on traffic flow over a wide parameter spectrum for human and technical aspects.

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