Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)

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Research on the Development Trend of Broadcasting Network Technology Based on K-Means Algorithm

Authors
Li Yufei, Yan Li
Corresponding Author
Li Yufei
Available Online November 2019.
DOI
10.2991/pntim-19.2019.34How to use a DOI?
Keywords
Intelligent Products; K-Means Algorithm; Clustering Analysis
Abstract

With the coming of the "5 g era", intelligence, digital transformation is a major problem faced by radio, film and television networks. This paper uses the k-means algorithm to analyze its market demand data. According to the clustering analysis, the key attributes of broadcasting network products in the future are extracted. The clustering results can be divided into three categories, and then infer the trend of its technology development: First, the promotion of digital technology, which is from video, audio, text compression coding and modulation transmission, so that the content storage capacity is more abundant, data transmission more rapid. Second, the continuous upgrading of operation platform technology, middleware and system integration technology, including standardization technology, full-service support technology and platform establishment. Third, the improvement of basic network technology, which is from network access technology to network transmission technology, the formation of advanced technology entry point and transmission fluency. Fourth, the optimization of network technology, which is from the network architecture, to form an integrated, mature network system.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)
Series
Atlantis Highlights in Engineering
Publication Date
November 2019
ISBN
978-94-6252-829-1
ISSN
2589-4943
DOI
10.2991/pntim-19.2019.34How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Li Yufei
AU  - Yan Li
PY  - 2019/11
DA  - 2019/11
TI  - Research on the Development Trend of Broadcasting Network Technology Based on K-Means Algorithm
BT  - Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)
PB  - Atlantis Press
SP  - 165
EP  - 169
SN  - 2589-4943
UR  - https://doi.org/10.2991/pntim-19.2019.34
DO  - 10.2991/pntim-19.2019.34
ID  - Yufei2019/11
ER  -