The cloud computing is a novel approach to online computing. It offers numerous benefits, but several important problems need to be fixed if the cloud environment is to become more reliable. These are the problems ass...
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Facing the demand for multi-scenario, differentiated, and decentralized monitoring, and analysis of power quality in distribution networks under the new situation, this paper proposes an edge computing-based power qua...
Facing the demand for multi-scenario, differentiated, and decentralized monitoring, and analysis of power quality in distribution networks under the new situation, this paper proposes an edge computing-based power quality monitoring and analysis method for distribution station areas. It introduces the three-layer architecture of the power quality monitoring system for the distribution station area. It designs three monitoring modes based on edge computing, namely light monitoring, normal monitoring, and intensive monitoring. The key indicator calculation and statistical analysis method of power quality under an edge computing framework are presented. Typical application scenarios are selected for pilot application and verification. The results show that this method can realize the quantitative analysis of power quality operation in the power distribution area, actively discover potential power quality problems in the power distribution area, and meet the diversified needs of power quality monitoring and analysis in the power distribution area.
With the promotion of strategies such as 'internet plus', the deep integration of industrialization and informatization has accelerated, and industrial internet has become an important support for new economie...
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MapReduce and Hadoop distributed data processing technologies are used for systematic research. The system is interactive in distributedcomputing, data mining, service response and cloud environment. At the level of ...
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With the rapid development of modern communication technology, in the fields of the internet of Things, smart cities and autonomous driving, in order to meet the high bandwidth and low latency characteristics of 5G (5...
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ISBN:
(纸本)9798400709777
With the rapid development of modern communication technology, in the fields of the internet of Things, smart cities and autonomous driving, in order to meet the high bandwidth and low latency characteristics of 5G (5th-Generation) networks, as well as the urgent needs of processing massive data and providing real-time intelligent services, it is imperative to improve and optimize the communication AI (Artificial Intelligence) model. Therefore, this paper moves data processing and analysis from the centralized cloud to the edge of the network, near the user access point, aiming to reduce data transfer time and improve response speed, and utilizes artificial intelligence technology to enable more efficient and adaptive network management and service customization. This paper focuses on the role and advantages of edge computing in 5G communication, the application of artificial intelligence combined with edge computing in 5G communication, and the realization of edge AI technology architecture. Finally, two sets of simulation results are as follows: The average accuracy error of the optimized edge AI model and cloud AI model is less than 1%, and the average response time is reduced by 31.9ms. The research helps to better understand network behavior, predict and manage traffic, and dynamically deploy resources.
This study compares different scheduling algorithms used in edge computing for real-time video processing. Instead of sending video data to cloud servers, the video is processed directly at the edge, reducing delays a...
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The proceedings contain 21 papers. The topics discussed include: enhancing the performance of photonic crystal and gates with machine learning optimization;bitcoin price prediction based on financial data, technical i...
ISBN:
(纸本)9798350381580
The proceedings contain 21 papers. The topics discussed include: enhancing the performance of photonic crystal and gates with machine learning optimization;bitcoin price prediction based on financial data, technical indicators, and news headlines sentiment analysis using CNN and GRU deep learning algorithms;promoting cybersecurity knowledge via gamification: an innovative intervention design;modeling and verification of the causal broadcast algorithm using colored Petri Nets;GPU-based parallel technique for solving n-similarity problem in textual data mining;a novel approach for specification and verification of symmetric distributed algorithms using spin;optimizing geophysical workloads in high-performance computing: leveraging machine learning and transformer models for enhanced parallelism and processor allocation;and rational Jacobi kernel functions: a novel massively parallelizable orthogonal kernel for support vector machines.
The proceedings contain 10 papers. The topics discussed include: knowledge distillation-based abnormal power consumption pattern detection for edge environment;a method for quality fault diagnosis based on Bayesian ne...
The proceedings contain 10 papers. The topics discussed include: knowledge distillation-based abnormal power consumption pattern detection for edge environment;a method for quality fault diagnosis based on Bayesian network D-cut set;research and application of distributed photovoltaic precise dispatching and control technology;a smooth switching strategy for steady-state operation control and fault transient control of doubly fed induction generator;virtual impedance optimization control strategy for wind turbine grid-forming converters in weak grid;the applicability study of the large wind farm wake effect model;reactive power and voltage control based on reactive power compensation coefficient and sensitivity factor;and real-time voltage control of centralized and distributed coordination in active distribution network under multiple coupling.
A smart operation and maintenance management system for photovoltaic power plants based on big data technology has emerged. The system adopts a distributed architecture, achieving key functions such as real-time data ...
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Over 41.6 billion IoT devices are expected to come online by 2025, collectively capable of generating 80 zettabytes (ZB) of data. Despite the relentless progress in adoption of smart devices occurring around all us in...
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ISBN:
(纸本)9789897586439
Over 41.6 billion IoT devices are expected to come online by 2025, collectively capable of generating 80 zettabytes (ZB) of data. Despite the relentless progress in adoption of smart devices occurring around all us in our smart homes, our wearable devices, our smart cities and workplaces -, progress in the adoption of smart technology in the mining sector has languished. Yet the mining sector powers our energy systems and makes components for smart devices possible, while employing over 4.5 million people world-wide in some of the most extreme & hostile environments. This paper presents the design of a prototype industrial IoT platform for large-scale industrial automation of conventional mines.
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