使用蜂巢式網路資訊將機器學習技術應用於交通工具辨識

Applying Machine Learning Techniques to Transportation Type Recognition Using Cellular Information

蘇柏岳(Bo-Yue Su)

指導教授 ： 陳志成

國立交通大學/資訊學院/網路工程研究所/碩士(2018年)

摘要

無資料

關鍵字

機器學習 ； 交通工具判斷 ； 智慧型手機 ； 蜂巢式網路資訊

並列摘要

無資料

並列關鍵字

machine learning ； transportation type recognition ； smart phone ； cellular information

參考文獻

[1] "DIGITAL IN 2018: World’s Internet users pass the 4 billion mark," [Online]. Available: https://wearesocial.com/blog/2018/01/global-digital-report-2018.

[2] "Top 50 Countries by Smartphone Users and Penetration," [Online]. Available: https://newzoo.com/insights/rankings/top-50-countries-by-smartphone-penetration-and-users/.

[3] "Human - Activity & Calorie Tracker," [Online]. Available: http://human.co/index.html.

[4] Jason Ryder, Brent Longstaff, Sasank Reddy, Deborah Estrin, "Ambulation: A Tool for Monitoring Mobility Patterns over Time Using Mobile Phones," International Conference on Computational Science and Engineering, 29 August 2009.

[5] Konstantinos Samdanis, Xavier Costa-Perez, Vincenzo Sciancalepore, "From network sharing to multi-tenancy: The 5G network slice broker," IEEE Communications Magazine, vol. 54, no. 7, pp. 32-39, 2016.