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

Wu Yu, Wang Zi Ye, Shigeyuki Tateno

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

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.

元の言語English
ホスト出版物のタイトル2017 International Automatic Control Conference, CACS 2017
出版者Institute of Electrical and Electronics Engineers Inc.
ページ1-6
ページ数6
2017-November
ISBN(電子版)9781538639009
DOI
出版物ステータスPublished - 2018 2 7
イベント2017 International Automatic Control Conference, CACS 2017 - Pingtung, Taiwan, Province of China
継続期間: 2017 11 122017 11 15

Other

Other2017 International Automatic Control Conference, CACS 2017
Taiwan, Province of China
Pingtung
期間17/11/1217/11/15

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Optimization

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  • これを引用

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