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7th IEEE information technology, Networking, Electronic and Automation control Conference, ITNEC 2024

作者： Wang, Yifan Tian, Liguo Li, Meng College of Automation and Electrical Engineering Tianjin University of Technology and Education Tianjin300222 China Tianjin Key Laboratory of Information Sensing & Intelligent Control Tianjin300222 China

ISBN: (纸本)9798350370782

electrical signals are an important type of signals in plants, which can not only regulate normal physiological activities, but also reflect the current environmental temperature of plants to a certain extent. The plant electrical signal was collected and the Peak value, Peak to peak and Mean value were extracted as eigenvalues, and the BP neural network was trained to obtain the correspondence model between the eigenvalues of the signal and the ambient temperature. The mean square deviation (MSE) and correlation coefficient (R) of the trained BP neural network model were 0.0058 and 0.9408, respectively. In the re-collected data, 90% of the estimated values fall between 01, and the judgment effect is good, which proves that the model has a high accuracy of judgment. In the future, plant electrical signals can be combined with neural network models to detect temperature, humidity and other parameters in plant growth states, which has high application value in smart agriculture. © 2024 IEEE.

关键词： BP neural network model judgment plant electrical signals relational model smart agriculture Temperature detection

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Geometric-Spectral Reconstruction Learning for Multi-Source Open-Set Classification With Hyperspectral and LiDAR Data

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IEEE/CAA Journal of Automatica Sinica 2022年第10期9卷 1892-1895页

作者： Leyuan Fang Dingshun Zhu Jun Yue Bob Zhang Min He IEEE the College of Electrical and Information Engineering Hunan University the Peng Cheng Laboratory the Department of Geomatics Engineering Changsha University of Science and Technology the PAMI Research Group the Department of Computer and Information ScienceUniversity of Macao

Dear editor,This letter presents an open-set classification method of remote sensing images(RSIs)based on geometric-spectral reconstruction *** specifically,in order to improve the ability of RSI classification model to adapt to the open-set environment,an openset classification method based on geometric and spectral feature fusion is proposed.

关键词： editor letter Open

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An Incentive Mechanism for Federated Learning:A Continuous Zero-Determinant Strategy Approach

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IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 88-102页

作者： Changbing Tang Baosen Yang Xiaodong Xie Guanrong Chen Mohammed A.A.Al-qaness Yang Liu IEEE the College of Physics and Electronic Information Engineering Zhejiang Normal UniversityUniversityJinhua 321004China the School of Mathematical Sciences Zhejiang Normal UniversityJinhua 321004China the Department of Electrical Engineering City University of Hong KongHong KongChina Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province Jinhua 321004China

As a representative emerging machine learning technique, federated learning(FL) has gained considerable popularity for its special feature of “making data available but not visible”. However, potential problems remain, including privacy breaches, imbalances in payment, and inequitable *** shortcomings let devices reluctantly contribute relevant data to, or even refuse to participate in FL. Therefore, in the application of FL, an important but also challenging issue is to motivate as many participants as possible to provide high-quality data to FL. In this paper, we propose an incentive mechanism for FL based on the continuous zero-determinant(CZD) strategies from the perspective of game theory. We first model the interaction between the server and the devices during the FL process as a continuous iterative game. We then apply the CZD strategies for two players and then multiple players to optimize the social welfare of FL, for which we prove that the server can keep social welfare at a high and stable level. Subsequently, we design an incentive mechanism based on the CZD strategies to attract devices to contribute all of their high-accuracy data to ***, we perform simulations to demonstrate that our proposed CZD-based incentive mechanism can indeed generate high and stable social welfare in FL.

关键词： Federated learning(FL) game theory incentive mechanism machine learning zero-determinant strategy

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H∞ Secure Consensus of Two-Time-Scale Markov Jump Multi-agent Systems with Partially Unknown Transition Rates Against Hybrid Cyber-Attacks

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Neural Processing Letters 2023年第5期55卷 6089-6108页

作者： Zhang, Guanzheng Wang, Jing Li, Feng Shen, Hao Key Laboratory of Multidisciplinary Management and Control of Complex Systems of Anhui Higher Education Institutes Anhui University of Technology Ma’anshan243002 China School of Electrical and Information Engineering Anhui University of Technology Ma’anshan243002 China

This paper addresses the secure consensus control problem for a class of continuous-time two-time-scale Markov jump multi-agent systems under hybrid cyber-attacks, which suffers from both the denial-of-service attacks and deception attacks. Firstly, to make the constructed model fit the practice better, the dynamic of each agent is represented by a two-time-scale system and the transition rate matrix of the Markov chain is assumed to be partially unknown. Then, a secure consensus protocol is designed to deal with the hybrid cyber-attacks and guarantee the average consensus can be achieved with a prescribed H∞ performance. Based on the stochastic analysis approach and Lyapunov stability method, some sufficient conditions are given in the form of linear matrix inequalities. Furthermore, the desired secure consensus protocol gains can be obtained by solving a convex optimization problem. Finally, an illustrative example is utilized to demonstrate the effectiveness of the proposed method. © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

关键词： Multi agent systems

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A Review on Electric Vehicles Charging Strategies concerning Actors Interests

Periodica polytechnica Electrical engineering and computer s...

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Periodica polytechnica electrical engineering and computer science 2022年第2期66卷 148-162页

作者： Sabzi, Shahab Vajta, Laszlo Faghihi, Tayebeh Department of Control Engineering and Information Technology Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Műegyetem rkp. 3. BudapestH-1111 Hungary

Electric vehicles are becoming increasingly popular in societies and an important part of smart grids. Utility companies should be able to provide them with vital energy as they need electric energy instead of fuel, and this is where new challenges emerge in the network. In order to avoid causing utilities to incur additional energy and economic losses, researchers have proposed smart charging as a way to provide adequate energy to vehicles. When developing a charging schedule for a fleet of EVs, special considerations are made on variables such as energy, cost, and EVs milage. In this review paper, the importance of EVs integration into smart grids is studied, and then different methods to develop EVs charging scheduling are investigated. These methods can vary from optimization algorithms to learning-based, and game theory-based approaches. Then, as the considered system consists of three main actors, including EV users, the utility operator, and aggregators, a systematic review is conducted on these actors, and objectives related to each one are analyzed. Finally, research gaps related to the problem are studied. Researchers can use this review to conduct further research on the integration of EVs into smart grids. © 2022 Budapest University of technology and Economics. All rights reserved.

关键词： Electric vehicles

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Emerging WS_(2)/WSe_(2)@graphene nanocomposites: synthesis and electrochemical energy storage applications

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Rare Metals 2024年第1期43卷 1-19页

作者： Yu-Meng Gao Yong Liu Kai-Jia Feng Jun-Qing Ma Ying-Jie Miao Bin-Rui Xu Kun-Ming Pan Osaka Akiyoshi Guang-Xin Wang Ke-Ke Zhang Qiao-Bao Zhang National Joint Engineering Research Center for Abrasion Control and Molding of Metal Materials Henan Key Laboratory of Non-Ferrous Materials Science and Processing TechnologySchool of Materials Science and EngineeringHenan University of Science and TechnologyLuoyang 471023China Provincial and Ministerial Co-Construction of Collaborative School of Electrical Engineering Henan University of Science and TechnologyLuoyang 471023China Biomaterials Laboratory Faculty of EngineeringOkayama UniversityTsushima-NakeOkayama-Shi 700-8530Japan Department of Materials Science and Engineering College of MaterialsXiamen UniversityXiamen 361005China Fujian Key Laboratory of Surface and Interface Engineering for High Performance Materials Xiamen UniversityXiamen 361005China

In recent years, tungsten disulfide(WS_(2)) and tungsten selenide(WSe_(2)) have emerged as favorable electrode materials because of their high theoretical capacity, large interlayer spacing, and high chemical activity;nevertheless, they have relatively low electronic conductivity and undergo large volume expansion during cycling, which greatly hinder them in practical applications. These drawbacks are addressed by combining a superior type of carbon material, graphene, with WS_(2) and WSe_(2) to form a WS_(2)/WSe_(2)@graphene *** materials have received considerable attention in electro-chemical energy storage applications such as lithium-ion batteries(LIBs), sodium-ion batteries(SIBs),and supercapacitors. Considering the rapidly growing research enthusiasm on this topic over the past several years, here the recent progress of WS_(2)/WSe_(2)@graphene nanocomposites in electrochemical energy storage applications is summarized. Furthermore, various methods for the synthesis of WS_(2)/WSe_(2)@graphene nanocomposites are reported and the relationships among these methods, nano/microstructures, and electrochemical performance are systematically summarized and discussed. In addition, the challenges and prospects for the future study and application of WS_(2)/WSe_(2)@graphene nanocomposites in electrochemical energy storage applications are proposed.

关键词： WS_(2)/WSe_(2)@graphene nanocomposites Liion batteries(LIBs) Na-ion batteries(SIBs) Supercapacitors Electrochemical performance

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An Adaptive Fuzzy Closed-loop control of Neural Activity Based on Neural Mass Model 16

An Adaptive Fuzzy Closed-loop Control of Neural Activity Bas...

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16th International Congress on Image and Signal Processing, BioMedical engineering and Informatics, CISP-BMEI 2023

作者： Ma, Lerong Li, Shanshan Tang, Xiaomin Tianjin University of Technology and Education Tianjin Key Laboratory of Information Sensing & Intelligent Control School of Automation and Electrical Engineering Tianjin China

ISBN: (纸本)9798350330755

An adaptive fuzzy closed-loop control method using linear feedback technology was proposed to inhibit epileptiform activity simulated by a neural mass model. In this study, the problem of epileptic suppression was considered as a typical control problem. First, the neural mass model was introduced to simulate neural firings at all stages of epileptic seizure;secondly, an adaptive fuzzy closed-loop control strategy was designed to suppress epileptiform firings of neural mass model;finally, the control effect of this adaptive fuzzy closed-loop control was compared with incremental PI closed-loop control. The results showed that the adaptive fuzzy closed-loop control consumes less control energy and achieves better control effect comparing with the incremental PI control algorithm. In addition, the adaptive closed-loop control can adjust the parameters in real time according to the epilepsy state and does not depend on the change of model parameters, which providing a theoretical basis for individualized medical treatment. © 2023 IEEE.

关键词： Closed loop control systems

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Multi-Objective Heterogeneous Green Vehicle Routing Problem with Customer Service Constraints 5

Multi-Objective Heterogeneous Green Vehicle Routing Problem ...

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5th International Conference on Robotics, Intelligent control and Artificial Intelligence, RICAI 2023

作者： Meng, Xianghu Gao, Wei Tang, Jing Anhui University of Technology Anhui Provincial Key Laboratory of Power Electronics and Motion Control Maanshan China Anhui University of Technology Department of Electrical and Information Engineering Maanshan China

ISBN: (纸本)9798350357950

Green Vehicle Routing Problem (GVRP) is a hot topic in the field of combinatorial optimization. In this paper, Multi-Objective Heterogeneous Green Vehicle Routing Problem with Customer Service Constraints (MOHGVRP-CSC) is proposed for the first time, and an integer planning model is established with three objectives to minimize the total traveling costs of vehicles, Carbon Emission cost and Customer Satisfaction cost. Then, a Hybrid Variable Neighborhood Search (HVNS) with hierarchical clustering and Brain Storm Optimization (BSO) is proposed. At the initial stage of the algorithm, the initial solution is constructed by hierarchical clustering algorithm and greedy algorithm. In addition, BSO is introduced into the global search of VNS to obtain a wider range of neighborhood searches. At the same time, 2-opt method is adopted in the local search to further improve the solution quality. Finally, the effectiveness of the proposed algorithm is verified by a large number of experimental simulations. © 2023 IEEE.

关键词： Customer service restrictions Green vehicle routing problem Multi-objective VNS

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An Improved YOLOv5 Algorithm for Elderly Fall Detection 12

An Improved YOLOv5 Algorithm for Elderly Fall Detection

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12th International Conference on Innovation, Knowledge, and Management, ICIKM 2023

作者： Wu, Han Zhao, Xueling Qiao, Jianghe Che, Yanqiu School of Automation and Electrical Engineering Tianjin University of Technology and Education Tianjin Key Laboratory of Information Sensing & Intelligent Control Tianjin China

ISBN: (纸本)9798350303315

Accidental falls are one of the major threats to the elderly population. Older adults who are not caught in time after a fall may miss the best time to be rescued. We propose an improved YOLOv5 fall detection algorithm in this paper. Firstly, we use SIoU Loss instead of CIoU Loss to improve the speed of training and the accuracy of inference. Secondly, the SimAM attention mechanism is introduced into the YOLOv5 model to further improve the model's performance. Experiments show that the mAP@0.5 of the improved YOLOv5 fall detection model reaches 96.7%, which is 2.4% higher than the original YOLOv5. The overall detection effect is better than the original YOLOv5 model and other network algorithms. The algorithm used in this paper can detect fall behavior promptly, which largely alleviates the risk of death or long-term treatment. © 2023 IEEE.

关键词： Fall detection

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Odor Plume Direction Estimation via Gas Sensor Array

Odor Plume Direction Estimation via Gas Sensor Array

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2023 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2023

作者： Li, Jin-Sheng Li, Ji-Gong School of Automation and Electrical Engineering Tianjin University of Technology and Education Tianjin Key Laboratory of Information Sensing and Intelligent Control Tianjin China

ISBN: (纸本)9798350309003

The direction of the odor plumes is very helpful for robots to preform odor source localization task. To address issues of that wind measurement equipment is not able or convenient to carry on the robots, this paper proposes a method for estimating the incoming direction of the odor plume with a gas sensor array. Firstly, a model for estimating the incoming direction of the odor plume was established via the positional relationship between gas sensors in the sensor array. Secondly, by using the output responses of the gas sensors in the array, the time delay between gas sensors was calculated via cross-correlation method. Thirdly, the solution of the model was solved using the Levenberg-Marquette method. Finally, the results of gas sensor arrays in different distribution patterns indicate that our proposed method can estimate the incoming direction of odor plume effectively. © 2023 IEEE.

关键词： Gases

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