sis 23(3): e5

Research Article

Online Document Transmission and Recognition of Digital Power Grid with Knowledge Graph

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  • @ARTICLE{10.4108/eetsis.v10i3.2831,
    author={Yuzhong Zhou and Zhengping Lin and Liang Tu and Qiansu Lv},
    title={Online Document Transmission and Recognition of Digital Power Grid with Knowledge Graph},
    journal={EAI Endorsed Transactions on Scalable Information Systems},
    volume={10},
    number={3},
    publisher={EAI},
    journal_a={SIS},
    year={2023},
    month={1},
    keywords={Online document, transmission and recognition, Performance analysis},
    doi={10.4108/eetsis.v10i3.2831}
}
  • Yuzhong Zhou
    Zhengping Lin
    Liang Tu
    Qiansu Lv
    Year: 2023
    Online Document Transmission and Recognition of Digital Power Grid with Knowledge Graph
    SIS
    EAI
    DOI: 10.4108/eetsis.v10i3.2831
Yuzhong Zhou1, Zhengping Lin1, Liang Tu1,*, Qiansu Lv2
  • 1: Electric Power Research Institute of China Southern Power Grid Company, Guangzhou, China
  • 2: Electronic Power Research Institute of Guizhou Power Grid Co. Ltd., Guizhou, China
*Contact email: Liang_Tu1@hotmail.com

Abstract

Inspired by the ever-developing information technology and scalable information systems, digital smart grid networks with knowledge graph have been widely applied in many practical scenarios, where the online document transmission and recognition plays an important role in wireless environments. In this article, we investigate the online document transmission and recognition of digital power grid with knowledge graph. In particular, we jointly consider the impact of online transmission and recognition based on computing, where the wireless transmission channels and computing capability are randomly varying. For the considered system, we investigate the system performance by deriving the analytical expression of outage probability, defined by the transmission and recognition latency. Finally, we provide some results to verify the proposed studies, and show that the wireless transmission and computing capability both impose a significant impact on the online document transmission and recognition of digital power grid networks.

Keywords
Online document, transmission and recognition, Performance analysis
Received
2022-11-01
Accepted
2022-11-30
Published
2023-01-04
Publisher
EAI
http://dx.doi.org/10.4108/eetsis.v10i3.2831

Copyright © 2023 Yuzhong Zhou et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.