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

Wu Yu; Wang Zi Ye; Shigeyuki Tateno

doi:10.1109/CACS.2017.8284242

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

Wu Yu, Wang Zi Ye, Shigeyuki Tateno^*

^*Corresponding author for this work

Graduate School of Information, Production and Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

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 language	English
Title of host publication	2017 International Automatic Control Conference, CACS 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781538639009
DOIs	https://doi.org/10.1109/CACS.2017.8284242
Publication status	Published - 2018 Feb 7
Event	2017 International Automatic Control Conference, CACS 2017 - Pingtung, Taiwan, Province of China Duration: 2017 Nov 12 → 2017 Nov 15

Publication series

Name	2017 International Automatic Control Conference, CACS 2017
Volume	2017-November

Other

Other	2017 International Automatic Control Conference, CACS 2017
Country/Territory	Taiwan, Province of China
City	Pingtung
Period	17/11/12 → 17/11/15

ASJC Scopus subject areas

Artificial Intelligence
Control and Optimization

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10.1109/CACS.2017.8284242

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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 (pp. 1-6). (2017 International Automatic Control Conference, CACS 2017; Vol. 2017-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CACS.2017.8284242

Real time logistics monitoring system of packages during transportation using decision tree combined with clustering method. / Yu, Wu; Ye, Wang Zi; Tateno, Shigeyuki.
2017 International Automatic Control Conference, CACS 2017. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-6 (2017 International Automatic Control Conference, CACS 2017; Vol. 2017-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yu, W, Ye, WZ & 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. 2017 International Automatic Control Conference, CACS 2017, vol. 2017-November, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 2017 International Automatic Control Conference, CACS 2017, Pingtung, Taiwan, Province of China, 17/11/12. https://doi.org/10.1109/CACS.2017.8284242

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

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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.",

author = "Wu Yu and Ye, {Wang Zi} and Shigeyuki Tateno",

note = "Funding Information: ACKNOWLEDGMENT This work was supported by JSPS KAKENHI Grant Number JP15K00441. Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 International Automatic Control Conference, CACS 2017 ; Conference date: 12-11-2017 Through 15-11-2017",

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AB - 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.

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

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