Research Article
The Calibration of Inspection Data on Juvenile Theft Cases in 5G Context andIOTAge
@INPROCEEDINGS{10.1007/978-3-031-31275-5_4, author={Cheng-yong Liu and Zhi-xin Wang and Hui-lin Liang and Xiu-Wen Ye}, title={The Calibration of Inspection Data on Juvenile Theft Cases in 5G Context andIOTAge}, proceedings={Smart Grid and Internet of Things. 6th EAI International Conference, SGIoT 2022, TaiChung, Taiwan, November 19-20, 2022, Proceedings}, proceedings_a={SGIOT}, year={2023}, month={5}, keywords={5G juvenile theft IOT}, doi={10.1007/978-3-031-31275-5_4} }- Cheng-yong Liu
Zhi-xin Wang
Hui-lin Liang
Xiu-Wen Ye
Year: 2023
The Calibration of Inspection Data on Juvenile Theft Cases in 5G Context andIOTAge
SGIOT
Springer
DOI: 10.1007/978-3-031-31275-5_4
Abstract
In the context of 5g and IOT age, big data has many functions, and the core function of legal big data is to make predictions. However, there is a problem of data transmission errors, and all erroneous data signals cannot be ruled out. This article mainly takes juvenile theft cases as the starting point, and discusses the role of big data in the statistics of legal cases and the possibility of data transmission errors that may occur, and in the context of big data, for juvenile theft. Recidivism rates were studied and practical recommendations were made. Unlike other articles, this article integrates the Internet of Things into judicial issues, aiming to better serve the law through technology.
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