Education, Science, Technology, Innovation and Life
Open Access
Sign In

Artificial intelligence for satellite communications and geophysics: current and future trends

Download as PDF

DOI: 10.23977/jaip.2023.060707 | Downloads: 10 | Views: 290

Author(s)

Liu Yijun 1, Qiu Yizhou 2, Li Jiarong 3

Affiliation(s)

1 School of Computer and Communication Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, Haidian District, Beijing, China
2 School of Engineering, China University of Geosciences (Wuhan), Room 210, Unit 2, Building 7, Phase 3, Jin Meihua Garden, Meilin Street, Futian District, Shenzhen City, China
3 School of Computing, Beijing Institute of Technology, 1705, Unit 2, Building 1, Power Garden, Chuangye Road, Nanshan District, Shenzhen, China

Corresponding Author

Liu Yijun

ABSTRACT

In 2010, Artificial Intelligence (AI) made a breakthrough, and the technology breakthrough in the industry red line became the common expectation of the society. Driven by both market demand and national policies, the AI boom swept through China. Since the 21st century, the information superhighway has rapidly emerged, and communication technology represented by satellite communication has become increasingly important in the country's economic development. In addition, geophysics under earth sciences has also made numerous breakthroughs in theory and practice, bringing a wide range of application value for social development. There are many crossovers between the fields of communication engineering and machine learning. Geoscience has high requirements for complex and changing heterogeneous and multimodal data, and being able to analyze and process big data in combination with artificial intelligence is a direction that many scholars are exploring. This paper introduces the status of applying two technical fields of artificial intelligence in satellite communications and geophysics to explore the impact of computer technology in the research of the two fields and to look forward to the future development trend of the cooperation between the three.

KEYWORDS

Artificial intelligence; satellite communications; geophysics; machine learning; deep learning; communication engineering

CITE THIS PAPER

Liu Yijun, Qiu Yizhou, Li Jiarong, Artificial intelligence for satellite communications and geophysics: current and future trends. Journal of Artificial Intelligence Practice (2023) Vol. 6: 43-51. DOI: http://dx.doi.org/10.23977/jaip.2023.060707.

REFERENCES

[1] Chun Ding, and Li Junyang (2014). Germany's "Industry 4.0": Content, Motivation, Prospects and Implications. German Studies, 29(4): 49-66.
[2] Fan Xiaolei, Li Huaizhong, Luo Yonggang, Sun Guohui, Yang Shizhong, Wang Yuejun. (2020). Engineering Application of Intelligent Geological Hazard Monitoring and Early Warning System Based on "Sensing, Transmission, Intelligence and Utilization" Business Chain. Satellite Applications, (6): 46-54.
[3] Li, C. F., Liu, D., Zhou, D. K. & Yang, K. H. (2022). Application and Prospect of Artificial Intelligence in Geology. Mineral Rock Geochemistry Bulletin (03), 668-677. doi:10.19658/j.issn.1007-2802.2022.41.003.
[4] Liu, P. (2021). The use of artificial intelligence in communication technology networks in the context of big data. Electronic Components and Information Technology, 5(04):96–97. doi:10.19772/j.cnki.2096-4455.2021.4.044.
[5] Yan Guangsheng, Xue Qunwei, Xiao Keyan, Chen Jianping, Miao Zhenli, Yu Hailong. (2015). Analysis of the main problems of geological survey significant data research. Geological Bulletin, 34(7): 1273-1279.
[6] Electronic Society of China, China Digital Economy 100, Shangtang Intelligent Industry Research Institute. (2020). White Paper on Next Generation Artificial Intelligence.
[7] Maosheng Zhang, Jun Jia, Yi Wang, Qian Niu, Yimin Mao, Ying Dong. (2019). Construction of Geological Hazard Prevention and Control System Based on Artificial Intelligence (AI). Northwest Geology, 52(2): 103–116.
[8] Zhang Runli. (2014). Research on scientific development approach and strategy of Chinese geological survey. Doctoral dissertation. Wuhan: China University of Geosciences: pp. 25–33.
[9] Zhu Y. (2019). Analysis of the impact of artificial intelligence and other new technologies on the future communications industry. Electronic Components and Information Technology, (04):52-54+112.DOI:10.19772/j. cnki. 2096-4455.2019.4.015
[10] Zhao W.L., Yang, L.G., Zhao, L... (2022). Application of Artificial Intelligence in Communication Networks under Big Data Environment // Shanghai Shinyu Culture Communication Co.Proceedings of 2022 Engineering Technology Innovation and Management Seminar (ETIMS 2022). DOI:10.26914/c.cnkihy.2022.075404.
[11] Peter C. Evans, Macro Annunziata.(2012). Industrial Internet: Pushing the Boundaries of Minds and Machines. General Electric, 2012-1-1.

Downloads: 4437
Visits: 161347

Sponsors, Associates, and Links


All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.