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Resource Management Technology in Smart grids enabled by Regional energy Internet 9

Resource Management Technology in Smart Grids enabled by Reg...

引用

9th international conference on Computer and Communications, ICCC 2023

作者： Jiang, Jing Xin, Peizhe Xiao, Zhihong Ji, Yuejie State Grid Economic and Technological Research Institute Co. Ltd. Beijing China

ISBN: (纸本)9798350317251

There are numerous distributed new energy and diversified loads in the regional energy Internet. New business demands such as virtual power plant group dispatching and control, demand side response, and energy big data centers are constantly emerging, putting higher requirements on the reliability, security, and processing capacity of communication networks. As the core of the regional energy Internet, the power grid's advanced communication and computing resources management is an effective way to meet the needs of the new business. In order to meet the differentiated requirements of services and security isolation, the network slicing technology is applied to the power grid. In this paper, we proposed a computing and bandwidth resource management scheme in smart grids enabled by regional energy Internet to reduce energy consumption and network delay. We modeled the joint allocation of bandwidth and computing resources of network slicing as a convex optimization problem, aiming to minimize the weighted sum of system delay consumption and computational energy consumption. The Lagrange multiplier iterative optimization method is used to solve the optimal allocation scheme of computing resources and bandwidth resources. The simulation results show that the proposed solution can meet the differentiated delay requirements of the service and effectively reduce the delay consumption and energy consumption of the system. © 2023 ieee.

关键词： Resource allocation

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Research on the Data Signal Transmission Technology of the Multidimensional Finite Space

Research on the Data Signal Transmission Technology of the M...

引用

2023 international conference on Applied Physics and computing, ICAPC 2023

作者： Chen, Yufeng Tian, Jian Guo, Kai Song, Xiaodong Zhao, Peng Liu, Jinglong Tong, Xinyuan Yang, Xiaoshuai State Grid Shandong Electric Power Research Institute State Grid Corporation of China Jinan250002 China State Grid Shandong Electric Power Company State Grid Corporation of China Jinan250002 China

ISBN: (纸本)9798350359244

The transmission signal is transmitted by LoRa/4G/5G or ultra-wideband technology. When the signal is transmitted to the signal display screen, the change value of the signal is observed and recorded, the status is displayed and predicted in real time, and the early warning is issued in advance. Using LoRa and other ultra-wideband signal transmission, relay amplification, topology analysis and other transmission technologies to transmit signals reliably and effectively, through the signal transmission system, the finite space threshold, personnel or equipment moving track, position, distance, etc., can be calculated and predicted, and the finite space multidimensional information can be visually presented in the terminal of the guardian outside the limited space. © 2023 ieee.

关键词： Ultra-wideband (UWB)

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A Practical Study of Qoe on Cloud Gaming in 5G Networks 19

A Practical Study of QoE on Cloud Gaming in 5G Networks

引用

19th ieee international Wireless Communications and Mobile computing (ieee IWCMC)

作者： Huang, Huai-Sheng Su, Yen-Shuo Natl Taipei Univ Grad Inst Informat Management New Taipei Taiwan Fu Jen Catholic Univ Dept Informat Management New Taipei City Taiwan

ISBN: (纸本)9798350333398

Cloud Gaming is a new way to extend the game experience anytime and anywhere. Relying on 5G coverage is broadening and gradually available to all, rendering issue is free from a local device and turn to cloud computing. However, different 5G signal conditions may affect players' Qoe significantly, especially for cloud gaming. Since understand the impact factors of cloud gaming depending on 5G, we deploy a practical test to collect players' subjective and objective data to train a 5G Qoe model for cloud gaming. The experiment result also proves that a well 5G signal condition is necessary for cloud gaming.

关键词： 5G Quality of experience Qoe Cloud Gaming Cloud computing

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Resource Scheduling and Optimization Strategy in edge computing environment 5

Resource Scheduling and Optimization Strategy in Edge Comput...

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5th international conference on Industrial IoT, Big Data and Supply Chain, IIoTBDSC 2024

作者： Zhao, Chuanqi Wang, Lanruo Zhang, Qizhe Song, Rui Haidian100080 China

ISBN: (纸本)9798331539818

With the rapid development of the Internet of Things (IoT), big data and artificial intelligence (AI) technologies, edge computing, as a new computing model, is gradually becoming a key technology for processing massive data and realizing low latency services. edge computing emerged as a cutting-edge computing paradigm. By pushing computing resources and data storage to the edge of the network, it greatly shortens the data processing path and provides an efficient solution for dealing with large-scale data processing and low latency requirements. In order to further improve the utilization efficiency of computing resources and optimize system performance indicators, the optimization of resource allocation and task scheduling in edge computing has become the focus of academic and industrial circles. This paper innovatively proposes a resource scheduling and optimization model based on edge computing, which deeply integrates AI algorithm to achieve dynamic optimal allocation of resources and intelligent scheduling of tasks. Through simulation experiments, it has been verified that the model not only significantly improves resource utilization and reduces task completion time, but also effectively responds to network fluctuations and load changes, demonstrating strong robustness and adaptability. © 2024 ieee.

关键词： edge computing optimization strategy resource scheduling

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A Review and Threat Analysis of Machine Learning in Relation to Fog and edge computing 5

A Review and Threat Analysis of Machine Learning in Relation...

引用

5th international conference on electronics and Sustainable Communication Systems, ICeSC 2024

作者： Bharadwaj, Chinmoy Ul Islam, Atowar Bharadwaj, Sippee Sarma, Priyanka University of Science and Technology Department of Computer Science Meghalaya India International School of Business and Research Department of Business Analytics Bengaluru India

ISBN: (纸本)9798350379945

Traditional centralized cloud computing is having considerable issues due to the rapid proliferation of mobile internet and Internet of Things applications. These issues include data transfer delays, low efficiency in exploiting available spectrum, and connectivity that is inflexible based on machine type. Driven by the need to overcome these challenges, a new technology is prompting a change in the role of centralized cloud computing to edge devices within networks. Driven by the need to overcome these challenges, a revolutionary technology is prompting a change in the role of centralized cloud computing to edge devices within the networks. edge computing systems have emerged from a variety of sources, with the goal of reducing latency, improving Se (security and efficiency), and enabling wide connectivity among devices. Given the broad growth and advancement of cloud technologies, the existing cloud computing model is insufficient to address the critical needs for providing services to applications such as smart grid, healthcare systems, and augmented reality. These specifications include low latency, mobility support, and context awareness. Fog and edge computing have developed as technologies that meet these requirements while providing great performance and dependability. Machine learning entails detecting many characteristics such as automated procedures, increased decision support, and diagnostic capabilities within operational settings. This study exposes previous research that focuses on diverse applications of machine learning, identifying potential hazards, and developing solutions for the edge paradigm as a whole. It also underlines the outstanding issues and challenges that may remain in the coming decades. © 2024 ieee.

关键词： Cloud platforms

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9th international conference on Image, Vision and computing, ICIVC 2024

作者： Zhi, Bihen Wang, Bing Chen, Yuquan Zhou, Jian College of Artificial Intelligence and Automation Hohai University Nanjing China State Grid Shanghai Electric Power Corporation Shanghai China

ISBN: (纸本)9798350385991

The task of visual position recognition (VPR) is to retrieve similar members of an empirical database based on the compression coding of an image in order to inversely obtain the position information of the accompanying image. Changing environmental conditions in real scenes cause perceptual aliasing, and how to ensure the robustness of VPR is a challenging problem. In this paper, we propose an augmentation approach to the dataset for the special case of seasonal changes in the environment, using a Pix2pix model trained to achieve image seasonal transformations on a dataset with complete seasonal distributions for all locations. The dataset used to extract image features is then populated using the trained transformation model to enhance its seasonal coverage. Finally, the seasonal information is fully utilized in the backpropagation of the image representation framework to enhance the correlation between images of different seasons at the same location. The experimental results show that the method proposed in this paper achieves better performance in the face of seasonal changes and even light changes and weather changes, and is able to solve the perceptual aliasing problem. The method in this paper can also be further extended to other challenging changes in extreme conditions. © 2024 ieee.

关键词： dataset enhancement perceptual aliasing robustness seasonal transformation visual place recognition

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A Novel Anomaly Detection Framework for Big Network Traffic Data 9

A Novel Anomaly Detection Framework for Big Network Traffic ...

引用

9th international conference on Intelligent computing and Signal Processing, ICSP 2024

作者： Li, Hailong Wang, Honggang Peng, Xiao Zhang, Ge Big Data Center State Grid of China Beijing China

ISBN: (纸本)9798350376548

Monitoring network traffic to identify malicious applications is an active research topic in network security. In the era of big data, with the increasing number of access devices, networks will become more and more dense and require more rapid response. Traditional anomaly detection methods cannot achieve both detection accuracy and latency. To study a high-performance network traffic anomaly detection method is imperative. In this paper, We proposed a novel anomaly detection framework based on big data analytics for network traffic to enhance the detection of sophisticated cyber threats. The framework is divided into two stages: online and offline. The online stage uses a distributed algorithm utilizing customized network traffic characteristics. In the offline stage, the multi-modal method of accurate classification is adopted, and the identification result is used as an expert system of online algorithm to realize data authentication. By integrating advanced machine learning algorithms and big data parallel anomaly detection techniques, the proposed framework aims to strike a balance between accuracy and efficiency in detecting emerging cyber threats. The framework has been tested on both open datasets and real-world datasets. A large number of experiments have been conducted to validate the feasibility and practicality of the framework. © 2024 ieee.

关键词： anomaly detection big data multimodal network traffic

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Optimization Design and Performance Research of 5G P-IOT Passive Tags Based on LPWAN and Transformer in Long Range Coverage Transmission 4

Optimization Design and Performance Research of 5G P-IOT Pas...

引用

4th international conference on Computer science, electronic Information engineering and Intelligent Control Technology, CeI 2024

作者： Hu, Jiaqi Zhang, Guoyi Zhou, Canhao Zhu, Hailong Huang, Yu Ou, Jiajun Lijiang Power Supply Bureau Yunnan Power Grid Co. Ltd Yunnan China China Southern Power Grid Co. Ltd Guangzhou China China Mobile Group Corporation Guangdong Limited Co. Ltd Guangzhou China Guangdong Unversity of Technology Guangzhou China

ISBN: (纸本)9798350378542

With the expansion of the Internet of Things (Io'T), current passive IoT (P-IoT) systems supporting 5G are facing challenges such as limited communication range, high interference, and low data throughput in complex environments. This paper introduces e-TransLPWAN (LPWAN optimization framework based on enhanced transformers), a novel solution for monitoring ultra-high voltage (UHV) power grids. This framework solves the above problems by optimizing spectrum utilization and power control, while effectively processing large-scale time series data using Transformer's self-attention mechanism. The experimental results show that e-TransLPWAN can significantly improve the performance of existing models, including a 50% reduction in latency, a 6% increase in anomaly detection accuracy (reaching 97%), and a 30% reduction in energy consumption. These improvements have enhanced the reliability and cost-effectiveness of UHV monitoring and ensuring the stability of the power grid. © 2024 ieee.

关键词： energy utilization

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A fast finding method for power Internet of Things equipment vulnerabilities based on page adaptive replacement cache replacement algorithm 3

A fast finding method for power Internet of Things equipment...

引用

3rd ieee international conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2023

作者： Zhang, KunSan Zhang, Yongji Zheng, JiaMing Fu, Jie Liu, YuXuan State Grid Fujian Electric Power Co. Ltd. Zhangzhou Power Supply Company Fujian Zhangzhou China State Grid FuJian Information & Telecommunication Company Fujian Fuzhou China State Grid Fujian Electric Power Co. Ltd. Ningde Power Supply Company Fujian Ningde China

ISBN: (纸本)9781665490788

This paper aims at the problem that the passive detection and search speed of power Internet of Things equipment is not high. This article proposes a new fast vulnerability finding method, adopts the cache idea, establishes a secondary cache database, and uses the page adaptive replacement cache replacement algorithm idea and mobile The average algorithm is used as a grading rule. This grading rule solves the problems of frequency, timeliness, and noise points. It selects a higher priority CVe and stores it in the first-level cache. The gradient search greatly improves the The search speed of CVe reduces unnecessary waste of computing resources, thus greatly improving the search speed of vulnerabilities. © 2023 ieee.

关键词： Grading

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Virtual Impedance Control for enhanced Current Limitation in grid-Forming Inverters 3

Virtual Impedance Control for Enhanced Current Limitation in...

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3rd ieee international conference on Power electronics, Intelligent Control and energy Systems, ICPeICeS 2024

作者： Rahman, Khaliqur Hashimoto, Jun Orihara, Dai National Institute of Advanced Industrial Science and Technology Fukushima Renewable Energy Research Institute Koriyama963-0298 Japan

ISBN: (纸本)9798350387193

grid-forming inverters (GFM) are a promising solution for increasing renewable energy penetration in power system networks. Adapting to dynamic changes in grid conditions, ensuring coordination with other inverters, and tuning and calibrating current-limiting parameters are crucial issues in GFM-based systems. GFM-based systems must ensure fault current contribution, current magnitude limitation, and fault recovery capability to support the grid and protect power semiconductor devices under strict disturbances. Various methods are described in the literature to limit the current, i.e., virtual impedance, current limiters, and voltage limiters. This paper suggests a virtual impedance-based approach that adjusts the internal induced voltage to maintain system synchronization and track system voltage changes. The technique inhibits phase angle change by regulating the current and avoids grid instabilities. The paper addresses challenges like temporary transient overcurrent and current saturation. Simulations are conducted to demonstrate performance. Results ensure the control scheme's robustness and reliability. © 2024 ieee.

关键词： Power semiconductor devices

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