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检索条件"任意字段=6th IEEE International Conference on Distributed Computing in Sensor Systems"

共 6276 条记录，以下是161-170 订阅

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Neural-Network-Based distributed Interval Observer Design for Nonlinear Multi-Agent systems 6

Neural-Network-Based Distributed Interval Observer Design fo...

引用

6th international conference on Robotics, Control and Automation Engineering, RCAE 2023

作者： Liu, Zirui Huang, Jun Sun, Yuan Zhong, Xilin School of Mechanical and Electrical Engineering Soochow University Suzhou China

ISBN: (纸本)9798350315301

A method of distributed interval observer for nonlinear multi-agent systems (MASs) using neural networks is studied in this paper. To address the issue that the traditional observer design methods can not be applied for unknown nonlinear functions effectively, radial basis function neural networks (RBFNN) are employed to estimate the upper and lower bounds of the unknown nonlinear term. For the error system, a Lyapunov function is chosen, which has the suitable network weight correction and network error selection mechanism, then the boundedness and non-negativity of the error dynamic system are guaranteed. Finally, a numerical example is used to demonstrate the effectiveness of the distributed interval observer. © 2023 ieee.

关键词： Lyapunov functions

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Cluster Power Prediction Considering Spatio-Temporal Correlation Characteristics of distributed Photovoltaic Farms 6

Cluster Power Prediction Considering Spatio-Temporal Correla...

引用

6th international conference on Power and Energy Technology, ICPET 2024

作者： Li, Xin Wang, Lijie Hao, Ying Zhao, Bo School of Automation Beijing Information Science and Technology University Beijing China

ISBN: (纸本)9798350375855

With the rapid spread of distributed PV power systems, accurate power prediction has become a critical requirement to ensure grid stability and optimise energy dispatch. Compared with the power prediction of individual PV power plants, distributed PV cluster prediction is more challenging. In order to improve the accuracy of distributed PV cluster power prediction, this paper considers the spatio-temporal correlation between distributed PV stations and proposes a method of distributed PV cluster power prediction based on representative stations selection and Spatio-Temporal Graph Convolutional Network (STGCN). Firstly, the representative station is selected by using the integrated correlation coefficient as an evaluation index through the principle of maximum correlation-minimum redundancy. then the weight of each representative power station is calculated using the Secretary Bird Optimisation Algorithm (SBOA). STGCN is used to predict the power of PV power plants considering spatial correlation, and finally the cluster predicted power will be obtained. Eventually, example calculations are carried out in two PV clusters in Jilin Province and Hebei Province to prove the effectiveness of this paper's method in cluster prediction. © 2024 ieee.

关键词： distributed photovoltaic clusters secretary bird optimisation algorithm selection of representative power stations spatio-temporal graph convolutional network

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Optimal Secure Control for Cyber Physical systems Against Joint sensor and Actuator Attacks 6

Optimal Secure Control for Cyber Physical Systems Against Jo...

引用

6th international conference on Electronic Engineering and Informatics, EEI 2024

作者： Li, Xiao-Meng Li, Jinyan Cheng, Zhijian School of Mechanical and Electrical Engineering Guangzhou University Guangzhou510006 China School of Automation Guangdong University of Technology Guangdong Hong Kong Joint Laboratory for Intelligent Decision and Cooperative Control Guangzhou510006 China

ISBN: (纸本)9798350353594

this paper aims to investigate the security control problem of CPSs subject to joint sensor and actuator attacks. Different from most existing results, a more realistic situation for the CPSs is proposed by considering joint sensor and actuator attacks, process noise, and measurement noise. To identify joint attacks on sensor and actuator, an effective detector is developed. Based on the detection results, the optimal secure control strategy is designed. Compared with the tradition control method, this paper designed control scheme can ensure that the CPSs achieve optimal performance when the sensor unit and actuator unit are attacked simultaneously. the efficacy of the developed optimal secure control strategy is testified through a simulation example. © 2024 ieee.

关键词： Cyber attacks

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Research on Intelligent System of Electronic Internet of things Based on Computer Big Data Technology 6

Research on Intelligent System of Electronic Internet of Thi...

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2023 ieee 6th international conference on Information systems and Computer Aided Education, ICISCAE 2023

作者： Wu, Xuan Zhenjiang Vocational Technical College Jiangsu Zhenjiang China

ISBN: (纸本)9798350313444

With the continuous development of computer technology, this article proposes a design method for an intelligent terminal system based on the perception application layer, network communication layer, and application service layer. the structure of the system is analyzed from two different angles of hardware and software. the communication protocol stack of wireless sensor network is established and extended externally. An intelligent perception algorithm based on time series is proposed. Finally, the accuracy of input is checked by simulation test to ensure the correctness of the system. © 2023 ieee.

关键词： active sensor electronic technology Internet of things smart home system

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2024 6th international conference on Communications, Signal Processing, and their Applications, ICCSPA 2024

2024 6th International Conference on Communications, Signal ...

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6th international conference on Communications, Signal Processing, and their Applications, ICCSPA 2024

ISBN: (纸本)9798350384819

the proceedings contain 87 papers. the topics discussed include: radar sensing via geometric machine learning over Riemannian manifolds;NR-V2X quality of service prediction through machine learning with nested cross-validation scheme;distributed task offloading in mobile edge computing using metaheuristics;design and implementation on FPGA of a real-time secure audio communication system;load-balanced and full-coverage beam layout for multibeam satellite systems;performance investigation of UAVs ad hoc networks with 3D Markov chain model;unlocking MIMO potential: transmit antenna selection and maximal ratio combining meet keyhole RIS for enhanced performance;and comparative study of indoor performance metrics In Ibra City's mobile broadband networks, Oman.

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Research on Resource Optimization of distributed Photovoltaic Energy Storage systems 6

Research on Resource Optimization of Distributed Photovoltai...

引用

6th international conference on Electronic Engineering and Informatics, EEI 2024

作者： Hu, Zhonglin Luo, Biwen Cao, Zhuyang Shi, Qianqian Cao, Zhudong Ningbo Sanming Electric Power Development Co. Ltd Ningbo China Ningbo Guangyuan Technology Development Co. Ltd Ningbo China Ningbo Wangju Software Technology Co. Ltd Ningbo China Ningbo Dongent Intelligent Equipment Co. Ltd Ningbo China

ISBN: (纸本)9798350353594

this article conducts a thorough examination of the resource optimization challenge faced by energy storage and power generation systems in photovoltaic power stations. In the introductory section, it underscores the criticality of energy management systems in photovoltaic plants and examines the pivotal role played by photovoltaic energy storage and generation systems in contemporary energy supply. Following this, the article proposes a comprehensive resource optimization strategy tailored for photovoltaic energy storage and generation systems, constructing a detailed optimization model that encapsulates both objective functions and constraint conditions. Furthermore, it delves into the workings of photovoltaic power generation components and energy storage batteries within distributed power sources. In the subsequent system calculation and analysis section, the article provides an overview of the model's data, parameters, and optimization methods, outlining the frameworks used. It then presents simulation results, coupled with an in-depth analysis. Ultimately, these studies aim to offer both theoretical underpinnings and practical insights, facilitating the efficient management and cost-effective operation of photovoltaic power plants. © 2024 ieee.

关键词： Energy storage and power generation system Photovoltaic power station resource optimization

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Hierarchical Federated Learning for Internet of Vehicles Networks: A Multi-Tiered Approach to Efficient and Adaptive distributed Learning 6

Hierarchical Federated Learning for Internet of Vehicles Net...

引用

6th international conference on Sustainable Technologies for Industry 5.0, STI 2024

作者： Protim, Joy Sharmin, Zeseya Sultana, Babe Green University of Bangladesh Department of Computer Science and Engineering Bangladesh School of Information Technology Deakin University Melbourne Australia

ISBN: (纸本)9798331531973

the Internet of Vehicles IoV) has emerged as a critical paradigm in intelligent transportation systems, generating vast amounts of data that can be leveraged for various applications. However, the distributed nature of vehicular networks, privacy concerns, and the non-IID (non-independent and identically distributed) characteristics of the data pose significant challenges to traditional machine learning approaches. this paper proposes a novel Hierarchical Federated Learning (HFL) architecture for IoV networks, introducing an intermediate tier of regional cloud servers between vehicles and the central server. Our approach addresses key challenges in communication efficiency, data heterogeneity, and model performance. Experimental results demonstrate that HFL achieves up to 30% reduction in communication overhead and a 15% improvement in model accuracy compared to conventional federated learning methods in IoV scenarios. © 2024 ieee.

关键词： Self-supervised learning

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(POSTER) SmartTwins: Secure and Auditable DLT-based Digital Twins for the WoT 18

(POSTER) SmartTwins: Secure and Auditable DLT-based Digital ...

引用

18th Annual international conference on distributed computing in sensor systems (DCOSS)

作者： Pittaras, Iakovos Polyzos, George C. Athens Univ Econ & Business Sch Informat Sci & Technol Dept Informat Mobile Multimedia Lab Athens Greece

ISBN: (纸本)9781665495127

Digital Twins and the Internet of things (IoT) are two of the most prominent recent concepts and technologies. the IoT supports many applications that merge the physical with the cyber world. this highlights the need for improved security. Here, we argue that digital twins can help in securing and strengthening the IoT by using them for interacting with the actual IoT devices. While most digital twins implementations are centralized, we propose to integrate distributed Ledger Technologies (DLTs) and digital twins into the IoT to realize decentralized, secure, available, flexible, and auditable blockchain-based IoT services for IoT devices that follow the W3C Web of things (WoT) standards. In this work, we present the design of SmartTwin, a blockchain-based digital twin framework for which we provide two different implementations using two different blockchains, we present the design trade-offs, and we discuss future research and development directions.

关键词： Digital Twins distributed Ledger Technologies Internet of things Sensing Actuation Blockchain Ethereum Hyperledger Fabric Auditability Availability

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A Life-long Learning Intrusion Detection System for 6G-Enabled IoV 20

A Life-long Learning Intrusion Detection System for 6G-Enabl...

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20th ieee international Wireless Communications and Mobile computing (ieee IWCMC) - Green and Intelligent Communications

作者： Korba, Abdelaziz Amara Sebaa, Souad Mabrouki, Malik Ghamri-Doudane, Yacine Benatchba, Karima Ecole Natl Super Informat Oued Smar Alger Algeria Badji Mokhtar Univ Annaba LRS Annaba Algeria Univ La Rochelle L3I La Rochelle France

ISBN: (纸本)9798350361261;9798350361278

the introduction of 6G technology into the Internet of Vehicles (IoV) promises to revolutionize connectivity with ultra-high data rates and seamless network coverage. However, this technological leap also brings significant challenges, particularly for the dynamic and diverse IoV landscape, which must meet the rigorous reliability and security requirements of 6G networks. Furthermore, integrating 6G will likely increase the IoV's susceptibility to a spectrum of emerging cyber threats. therefore, it is crucial for security mechanisms to dynamically adapt and learn new attack patterns, keeping pace with the rapid evolution and diversification of these threats - a capability currently lacking in existing systems. this paper presents a novel intrusion detection system leveraging the paradigm of life-long (or continual) learning. Our methodology combines class-incremental learning with federated learning, an approach ideally suited to the distributed nature of the IoV. this strategy effectively harnesses the collective intelligence of Connected and Automated Vehicles (CAVs) and edge computing capabilities to train the detection system. To the best of our knowledge, this study is the first to synergize class-incremental learning with federated learning specifically for cyber attack detection. through comprehensive experiments on a recent network traffic dataset, our system has exhibited a robust adaptability in learning new cyber attack patterns, while effectively retaining knowledge of previously encountered ones. Additionally, it has proven to maintain high accuracy and a low false positive rate.

关键词： 6G IoV Security intrusion detection Continual Learning Life-long Learning Federated Learning

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Solar Irradiance Forecasting Utilizing distributed and Federated Learning 25

Solar Irradiance Forecasting Utilizing Distributed and Feder...

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25th ieee international conferences on High Performance computing and Communications, 9th international conference on Data Science and systems, 21st ieee international conference on Smart City and 9th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Applications, HPCC/DSS/SmartCity/DependSys 2023

作者： Zhang, Hao Yan, Ke College of Information Engineering China Jiliang University Hangzhou China China Jiliang University National University of Singapore Singapore

ISBN: (纸本)9798350330014

Photovoltaic energy generation and prediction are crucial for the integration between solar plants and smart grid. Accurate solar radiation prediction is one of the most important research topics for solar energy generation. Existing deep learning methods require sufficient data for training for achieving the desired results. In traditional deep learning modeling, the data sets required for model training usually come from various data in different regions and organizations, and it is difficult to ensure data security and privacy protection. Federated learning can effectively utilize the data optimization model while ensuring data security and privacy, but there is still the risk of privacy leakage by analyzing the parameters uploaded by the client. To effectively utilize data optimization models while ensuring data security and privacy, we propose a method based on a federated learning framework and N-BEATS to achieve interpretable time series prediction of solar irradiance. the model builds the N-BEATS model on the solar irradiance datasets of multiple institutions in a distributed method, does not share local data to protect institutional data privacy, the concept of differential privacy (DP) is introduced, Gaussian noise is added to the parameters of the client before the server-side aggregation processing, the model parameters of each distributed node are collected through TCP communication for federated average, and the parameters are returned to each distributed node. the experimental results show that compared with other deep learning models, the model has better prediction accuracy under the premise of ensuring data security and privacy. © 2023 ieee.

关键词： Solar radiation

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