eprintid: 3438
rev_number: 8
eprint_status: archive
userid: 12
dir: disk0/00/00/34/38
datestamp: 2019-03-13 01:34:54
lastmod: 2019-03-13 01:34:54
status_changed: 2019-03-13 01:34:54
type: article
metadata_visibility: show
creators_name: Phung Cong Phi, Khanh
creators_name: Nguyen Thi, Kieu
creators_name: Nguyen Dinh, Chinh
creators_name: Tran Duc, Nghia
creators_name: Tran Duc, Tan
creators_id: phungcongphikhanh@gmail.com
creators_id: nguyenkieu2603@gmail.com
creators_id: chinhnd@vnu.edu.vn
creators_id: nghiatd1986@gmail.com
creators_id: tantd@vnu.edu.vn
title: Classification of cow’s behaviors based on 3-DoF accelerations from cow’s movements
ispublished: pub
subjects: ElectronicsandComputerEngineering
subjects: Scopus
divisions: fac_fet
abstract: Cow’s behavior classification helps people to monitor cow activities, thus the health and physiological periods of cows can be well tracked. To classify the behavior of cows, the data from the 3-axis acceleration sensor mounted on their neck is often used. Data acquisition and preprocessing of sensor data is required in this device. We acquire data from the 3-axis acceleration sensor mounted on the cows’neck and send to the microcontrollter. At the microcontroller, a proposed decision tree is applied in real-time manner to classify four important activities of the cows (standing, lying, feeding, and walking). Finally, the results can be sent to the server through the wireless transmission module. The test results confirm the reliability of the proposed device.
date: 2019-06-01
date_type: published
publisher: IAES
official_url: http://iaesjournal.com/online/index.php/IJECE
id_number: http://doi.org/10.11591/ijece.v9i3.pp%25p
full_text_status: public
publication: International Journal of Electrical and Computer Engineering
volume: 9
number: 3
pagerange: 1656-1662
refereed: TRUE
issn: 2088-8708
citation:   Phung Cong Phi, Khanh and Nguyen Thi, Kieu and Nguyen Dinh, Chinh and Tran Duc, Nghia and Tran Duc, Tan  (2019) Classification of cow’s behaviors based on 3-DoF accelerations from cow’s movements.  International Journal of Electrical and Computer Engineering, 9  (3).   pp. 1656-1662.  ISSN 2088-8708     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3438/1/14737-32650-1-PB.pdf