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

3 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル2017 International Automatic Control Conference, CACS 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1-6
ページ数6
ISBN(電子版)9781538639009
DOI
出版ステータス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

出版物シリーズ

名前2017 International Automatic Control Conference, CACS 2017
2017-November

Other

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

ASJC Scopus subject areas

  • 人工知能
  • 制御と最適化

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