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Joint Optimization of PAoI and Queue Backlog with Energy Constraints in LoRa Gateway Systems 19th

Joint Optimization of PAoI and Queue Backlog with Energy ...

19th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2023

作者： Shi, Lei Ji, Rui Wei, Zhen Feng, Shilong Li, Zhehao School of Computer Science and Information Engineering Hefei University of Technology Hefei230009 China Engineering Research Center of Safety Critical Industrial Measurement and Control Technology Ministry of Education Hefei230009 China

ISBN: (纸本)9783031545306

Peak Age of Information(PAoI), as a performance indicator representing the freshness of information, has attracted the attention of researchers in recent years. The data packet transmission rate in the LoRa network determines the information freshness level for system packets. In order to study the optimal scheduling of data packets, we try to use the PAoI to describe the real-time level of the end devices(EDs) and reduce it. We use edge servers to process monitoring data packets at the edge of the network to improve the efficiency of EDs and the information freshness level of data. Since packet transmission will be constrained by EDs battery queue energy and gateway queue backlog, we propose an optimization problem that aims to minimize the long-term average PAoI of EDs while ensuring network stability. With the Lyapunov optimization framework, the long-term stochastic optimization problem is transformed into a single-slot optimization problem. Furthermore, to avoid the problem of too large search space, we propose a dynamic strategy space reduction algorithm (SSDR) to shrink the strategy space. The simulation experiments show that our SSDR algorithm can optimize the PAoI index of EDs in various situations and satisfy the constraints of long-term optimization. © ICST Institute for computer Sciences, Social Informatics and Telecommunications engineering 2024.

关键词： Scheduling algorithms

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Enlightening the Student in Knowledge Distillation 48

Enlightening the Student in Knowledge Distillation

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48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023

作者： Zheng, Yujie Wang, Chong Chen, Yi Qian, Jiangbo Wang, Jun Wu, Jiafei Ningbo University Faculty of Electrical Engineering and Computer Science China China University of Mining and Technology School of Information and Control Engineering China SenseTime Research China

ISBN: (纸本)9781728163277

Knowledge distillation is a common method of model compression, which uses large models (teacher networks) to guide the training of small models (student networks). However, the student may find a hard time absorbing the knowledge from a sophisticated teacher due to the capacity and confidence gaps between them. To address this issue, a new knowledge distillation and refinement (KDrefine) framework is proposed to enlighten the student by expending and refining its network structure. In addition, a confidence refinement strategy is utilized to generate adaptive soften logits for efficient distillation. The experiments show that the proposed framework outperforms state-of-the-art methods on both CIFAR-100 and Tiny-ImageNet datasets. The code is available at https://***/YujieZheng99/KDrefine. © 2023 IEEE.

关键词： knowledge distillation model compression structural re-parameterization

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Research on Distributed Cooperative control Strategy of Microgrid Hybrid Energy Storage Based on Adaptive Event Triggering

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computer Modeling in engineering & Sciences 2022年第8期132卷 585-604页

作者： Wenqian Zhang Jingwen Chen Saleem Riaz Naiwen Zheng Li Li School of Electrical and Control Engineering Shaanxi University of Science and TechnologyXi’an710021China School of Mathematics and Computer Science Yan’an UniversityXi’an716000China School of Automation Northwestern Polytechnical UniversityXi’an170072China

Distributed collaborative control strategies for microgrids often use periodic time to trigger communication,which is likely to enhance the burden of communication and increase the frequency of controller updates,leading to greater waste of communication *** response to this problem,a distributed cooperative control strategy triggered by an adaptive event is *** introducing an adaptive event triggering mechanism in the distributed controller,the triggering parameters are dynamically adjusted so that the distributed controller can communicate only at a certain time,the communication pressure is reduced,and the DC bus voltage deviation is effectively reduced,at the same time,the accuracy of power distribution is *** MATLAB/Simulink modeling and simulation results prove the correctness and effectiveness of the proposed control strategy.

关键词： DC microgrid hybrid energy storage adaptive event trigger distributed collaborative control

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Pager Explosion:Cybersecurity Insights and Afterthoughts

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IEEE/CAA Journal of Automatica Sinica 2024年第12期11卷 2359-2362页

作者： Chuan Sheng Wanlun Ma Qing-Long Han Wei Zhou Xiaogang Zhu Sheng Wen Yang Xiang Fei-Yue Wang Swinburne University of Technology Hawthorn VIC 3122Australia IEEE the School of Computer and Mathematical Sciences the University of AdelaideAdelaideSouth Australia 5005Australia the State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 the Department of Engineering Science Faculty of Innovation EngineeringMacao University of Science and TechnologyMacao 999078China

PAGER EXPLOSION:THE *** 2024 Lebanon pager explosions represent one of the most unexpected and devastating technological incidents in recent *** September 17 and 18,2024,thousands of pagers and walkie-talkies exploded simultaneously across Lebanon and parts of Syria,resulting in 42 deaths and more than 3500 *** handheld communication devices,previously regarded as secure and low-profile,were rigged with concealed explosives and remotely triggered by attackers.

关键词： injuries thoughts explosion

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Roadside IRS Assisted Task Offloading in Vehicular Edge Computing Network 19th

Roadside IRS Assisted Task Offloading in Vehicular Edge Com...

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19th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2023

作者： Xie, Yibin Shi, Lei Li, Zhehao Ding, Xu Liu, Feng School of Computer Science and Information Engineering Hefei University of Technology Hefei230009 China Engineering Research Center of Safety Critical Industrial Measurement and Control Technology Ministry of Education Hefei230009 China

ISBN: (纸本)9783031545207

Vehicular edge computing (VEC) has been recognized as a promising technique to process delay-sensitive vehicular applications. Nevertheless, in order to accommodate the rapid growth in the number of connected vehicles, it’s inevitable that there will be an increasing deployment of conventional infrastructure with limited communication ranges. This could potentially lead to escalating costs and impede the full realization of the VEC system. In this paper, a roadside intelligent reflecting surface (IRS) assisted VEC network is introduced, where the IRS is deployed outside the coverage of roadside units (RSUs) to extend the service range. Furthermore, the maximum total number of successful offloading tasks problem within the scheduling time problem is formulated, encompassing the optimization of offloading decisions, computation resource allocation and phase shift of IRS. To tackle the formulated challenging problem, we first decouple the original problem into two subproblems. Then, a heuristic algorithm is proposed, where a many-to-one matching algorithm is proposed to joint optimize offloading decision and the computation resource, and an iterative algorithm is utilized to optimize the phase shift coefficients of IRS. The simulation results validate the effectiveness of the proposed algorithm in comparison to other schemes, and the IRS can effectively maintain network performance even when there are intervals in RSU coverage areas. © ICST Institute for computer Sciences, Social Informatics and Telecommunications engineering 2024.

关键词： Resource allocation

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Sparse Recovery Space Time Adaptive Processing Based on Log-Determinant 15

Sparse Recovery Space Time Adaptive Processing Based on Log-...

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15th International Conference on Signal Processing Systems, ICSPS 2023

作者： Chang, Yuqing Du, Xiaolin Jin, Biao Tian, Tuanwei Li, Jianbo School of Computer and Control Engineering Yantai University Yantai China Ocean College Jiangsu University of Science and Technology Zhenjiang China School of Physics and Electronics Henan University Kaifeng China School of Communication and Information Engineering Chongqing University of Posts and Telecommunications Chongqing China

ISBN: (纸本)9781510675056

Airborne radars usually face non-uniform clutter environments, and it is difficult to obtain enough independent and identical distributed (i.i.d.) training samples, which degrades the clutter suppression performance of space time adaptive processing (STAP). To address the problem, a log-determinant sparse rocovery based STAP (LSR-STAP) method is proposed in this paper. Through the sparse recovery theory of low-rank matrices and the prior knowledge of clutter covariance matrices, the corresponding problem is modeled using the log-determinant (LogDet) approximation of the rank function, and the solution of the resulting nonconvex optimization problem is derived in the framework of the symmetric alternating direction method of multipliers (S-ADMM). The simulation results show the superiority of the proposed method over similar algorithms. © 2024 SPIE.

关键词： Space time adaptive processing

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GPS Spoofing Attack Detection in Smart Grids Based on Improved CapsNet

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China Communications 2021年第3期18卷 174-186页

作者： Yuancheng Li Shanshan Yang School of Control and Computer Engineering North China Electric Power UniversityBeijing 102206China

This paper analyzes the influence of the global positionong system(GPS)spoofing attack(GSA)on phasor measurement units(PMU)*** propose a detection method based on improved Capsule Neural Network(CapsNet)to handle this *** the improved CapsNet,the gated recurrent unit(GRU)is added to the front of the full connection layer of the *** improved CapsNet trains and updates the network parameters according to the historical measurements of the smart *** detection method uses different structures to extract the temporal and spatial features of the measurements simultaneously,which can accurately distinguish the attacked data from the normal data,to improve the detection ***,simulation experiments are carried out on IEEE 14-,IEEE 118-bus *** experimental results show that compared with other detection methods,our method is proved to be more efficient.

关键词： smart grid detection method improved capsule neural network phasor measurement units global positioning system spoofing attack

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Development of a 5G-Enabled and AI-Powered Agricultural Picking Robot control Module

Development of a 5G-Enabled and AI-Powered Agricultural Pick...

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2023 International Conference on Applied Physics and Computing, ICAPC 2023

作者： Yu, Jianxiang Maalla, Maher Maalla, Allam School of Engineering Guangzhou College of Technology and Business Guangdong Guangzhou510850 China School of Computer Technologies and Control Itmo University Saint Petersburg197101 Russia

ISBN: (纸本)9798350359244

The escalating challenges faced by the agricultural industry, characterized by labor shortages, and rising costs, underscore the imperative for innovative solutions. This study explores the transformative potential of Intelligent Harvesting Systems in revolutionizing fruit harvesting, with a focus on assessing feasibility and understanding implications within the fruit industry. The integration of cutting-edge technologies, specifically 5G communication and artificial intelligence (AI), plays a pivotal role in the design and evaluation of a control module for an agricultural picking robot. The feasibility assessment encompasses an in-depth exploration of the technological, economic, operational, and environmental. Experimental evaluations conducted in controlled environments and real-world settings showcase the system's high picking speed, accuracy, and adaptability to diverse produce sizes. The outcomes of this research not only align with the initial objectives of enhancing harvesting efficiency and reducing labor costs but also hold promise for a sustainable and resource-efficient agricultural future. The positive synergy between 5G communication and AI technology emerges as a driving force behind the system's exceptional performance. This study not only contributes to the immediate advancements in intelligent harvesting but also lays a robust foundation for continued innovation, setting the stage for further exploration and refinement in this dynamic field. © 2023 IEEE.

关键词： 5G mobile communication systems

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Two-level data middle platform flow-batch integrated transmission strategy based on dynamic priority 6

Two-level data middle platform flow-batch integrated transmi...

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6th International Conference on Frontier Technologies of Information and computer, ICFTIC 2024

作者： Yin, Jiangbo He, Longgang Beijing China-Power Information Technology Co. Ltd Beijing China School of Control and Computer Engineering North China Electric Power University Beijing China

ISBN: (纸本)9798331541750

State Grid two-level data center is a data management and service platform for smart grid, which can realize the functions of data collection, storage, processing, analysis and application. However, its data link transmission faces the challenges of high transmission delay, poor quality of service and difficult to transmit batch data cooperatively on the same data link. In order to solve these problems, this paper proposes an integrated flow and batch transmission configuration model. According to the characteristics and requirements of the data, the model comprehensively considers the factors such as data priority, real-time, urgency and data size, as well as the load and bandwidth requirements of the link, and realizes the data classification and priority division, weighted hybrid scheduling and link allocation transmission control. In order to verify the validity of the model, NS3 is used as the simulation platform, and simulation experiments are carried out in a network topology including headquarters data center, provincial data center and nodes of each business department. The simulation results show that under the same network conditions, compared with the traditional FIFO queue scheduling algorithm and WFQ queue scheduling algorithm, the model can increase the data link transmission efficiency by 20%, reduce the total delay by 21%, ensure the quality of service, and realize the coordinated transmission of stream and batch data. © 2024 IEEE.

关键词： Middleware

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The ChatGPT After: Building Knowledge Factories for Knowledge Workers with Knowledge Automation

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IEEE/CAA Journal of Automatica Sinica 2023年第11期10卷 2041-2044页

作者： Yutong Wang Xiao Wang Xingxia Wang Jing Yang Oliver Kwan Lingxi Li Fei-Yue Wang State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190China School of Artificial Intelligence Anhui UniversityHefei 230039China Motion G Inc068898Singapore Department of Electrical and Computer Engineering Purdue School of Engineering and TechnologyIndiana University-Purdue University IndianapolisIndiana 46202-5132 USA IEEE

Briefing: This perspective introduces the concept and framework of knowledge factories with knowledge machines for knowledge workers to achieve knowledge automation for Industry 5.0 and intelligent *** The big hit of Chat GPT makes it imperative to contemplate the practical applications of big or foundation models [1]-[5]. However, as compared to conventional models, there is now an increasingly urgent need for foundation intelligence of foundation models for real-world industrial applications.

关键词： Automation template Chat GPT

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