Real time logistics monitoring system of packages during transportation using decision tree combined with clustering method

Wu Yu, Wang Zi Ye, Shigeyuki Tateno

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

With the development of logistics industry recently, the problem of package damage has become more serious. Nonstandard driving can make packages turn into abnormal states. This article presents a package state monitoring system with inertial measurement units (IMUs) which can be easily installed and can detect states of packages correctly. The system uses decision tree method and clustering method to classify states with different features like stable as normal states, while turnover, move, shake, and knock as abnormal states. The experiment results show that the system can distinguish different states of packages with different weights.

Original languageEnglish
Title of host publication2017 International Automatic Control Conference, CACS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
Volume2017-November
ISBN (Electronic)9781538639009
DOIs
Publication statusPublished - 2018 Feb 7
Event2017 International Automatic Control Conference, CACS 2017 - Pingtung, Taiwan, Province of China
Duration: 2017 Nov 122017 Nov 15

Other

Other2017 International Automatic Control Conference, CACS 2017
CountryTaiwan, Province of China
CityPingtung
Period17/11/1217/11/15

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ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Optimization

Cite this

Yu, W., Ye, W. Z., & Tateno, S. (2018). Real time logistics monitoring system of packages during transportation using decision tree combined with clustering method. In 2017 International Automatic Control Conference, CACS 2017 (Vol. 2017-November, pp. 1-6). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CACS.2017.8284242