Application of ATM Asynchronous Transfer Mode Intellectualization in Civil Aviation System

Authors

  • Rui Liu

DOI:

https://doi.org/10.54097/ajst.v2i1.616

Keywords:

ATM technology, Civil aviation communication, Data transmission, Application.

Abstract

The so-called ATM technology refers to asynchronous transmission technology, which is a highly efficient communication transmission technology. At present, it is widely used in many communication technology fields. Now this paper mainly analyzes its application in the field of civil aviation communication. At first, the paper analyzes and introduces ATM technology and civil aviation communication environment, points out the application advantages of ATM technology in civil aviation communication field, and finally makes a simple discussion on its application direction and mode. With the development of civil aviation communication business, the requirements for the traffic and reliability of data communication network are increasing. Civil aviation relies on ATM technology to build a basic network platform that can cover all airports of civil aviation and has carrier level reliability and availability. This paper introduces the working principle, system composition and workflow of ATM, improves the business level of maintenance and repair technicians, and ensures the safe operation of civil aviation air traffic control equipment.

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References

Innovating General Aviation MRO’s through IT: The Sky Aircraft Management System - SAMS[J] . Caglar Ucler,Orhan Gok. Procedia - Social and Behavioral Sciences . 2015

Design of a flight management system to support four-dimensional trajectories[J] . Manuel Angel Amaro Carmona, Darius Rudinskas, Cristina Barrado. Aviation . 2015 (1).

Energy Efficient Packet-Duration-Value Based MAC Protocol for Wireless Sensor Networks[J] . Abayomi M. Ajofoyinbo. Wireless Sensor Network . 2013 (10).

Development of a Hybrid Artificial Neural Network Model and its Application to Data Regression[J] . EricW.M. Lee,L.T. Wong,K.W. Mui. Intelligent Automation & Soft Computing . 2012 (4).

Similarity measure based on piecewise linear approximation and derivative dynamic time warping for time series mining[J] . Hailin Li,Chonghui Guo,Wangren Qiu. Expert Systems With Applications . 2011 (12).

Fast outlier detection for very large log data[J] . Seung Kim,Nam Wook Cho,Bokyoung Kang,Suk-Ho Kang. Expert Systems With Applications . 2011 (8).

Temporal data mining using shape space representations of time series [J] . Erich Fuchs,Thiemo Gruber,Helmuth Pree, Bernhard Sick. Neurocomputing . 2010 (1).

Indexing Multidimensional Time-Series[J] . Michail Vlachos, Marios Hadjieleftheriou, Dimitrios Gunopulos, Eamonn Keogh. The VLDB Journal . 2006 (1).

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Published

29-06-2022

Issue

Section

Articles

How to Cite

Application of ATM Asynchronous Transfer Mode Intellectualization in Civil Aviation System. (2022). Academic Journal of Science and Technology, 2(1), 17-21. https://doi.org/10.54097/ajst.v2i1.616

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