Proceedings of the 3rd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2024)

<Previous Article In Volume
Next Article In Volume>

Research on the Composition and Identification of Ancient Glass Products

Authors
Xuan Lu1, *, Haoran Xiong2
1School of Mathematics and Statistics, Guangdong University of Technology, Guangzhou, Guangdong, 510520, China
2School of Automation, Guangdong University of Technology, Guangzhou, Guangdong, 510006, China
*Corresponding author. Email: 3221006905@mail2.gdut.edu.cn
Corresponding Author
Xuan Lu
Available Online 7 May 2024.
DOI
10.2991/978-94-6463-419-8_14How to use a DOI?
Keywords
Spearman rank correlation coefficient; Pearson chi-square test; independent samples t-test; random forest model; hierarchical clustering analysis; Pearson correlation coefficient; Kruskal-Wallis test
Abstract

Because ancient glass is easily weathered by the burial environment, judgments about its type are easily affected. In addition, due to the influence of the surrounding environment, the internal elements of ancient glass will undergo a large number of exchanges with environmental elements, thus causing changes in the proportions of various components inside ancient glass. However, the research that has appeared so far has not conducted a detailed study on the connection between changes in the chemical composition of glass and glass-related properties. Consequently, in order to better conduct relevant analysis of ancient glass products, this paper uses Spearman's rank correlation coefficient and independent sample t test to analyze the weathering of glass. The results of the problem solved in this paper demonstrates that the effect of the modeling method in this paper is outstanding and significant.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 3rd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2024)
Series
Atlantis Highlights in Computer Sciences
Publication Date
7 May 2024
ISBN
978-94-6463-419-8
ISSN
2589-4900
DOI
10.2991/978-94-6463-419-8_14How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Xuan Lu
AU  - Haoran Xiong
PY  - 2024
DA  - 2024/05/07
TI  - Research on the Composition and Identification of Ancient Glass Products
BT  - Proceedings of the 3rd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2024)
PB  - Atlantis Press
SP  - 108
EP  - 114
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-419-8_14
DO  - 10.2991/978-94-6463-419-8_14
ID  - Lu2024
ER  -