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Tran Duc-Nghia
Vietnamese Academy of Science and Technology
Computer Science & IT Electrical & Electronics Engineering

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Classification of cow’s behaviors based on 3-DoF accelerations from cow’s movements Phung Cong Phi Khanh; Kieu Thi Nguyen; Nguyen Dinh-Chinh; Tran Duc-Nghia; Hoang Quang Trung; Nguyen Van Thang; Tran Duc-Tan
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 3: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (394.913 KB) | DOI: 10.11591/ijece.v9i3.pp1656-1662

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.
Wireless Technology for Monitoring Site-specific Landslide in Vietnam Gian Quoc-Anh; Nguyen Dinh-Chinh; Tran Duc-Nghia; Tran Duc-Tan; Kieu Nguyen Thi; Kumbesan Sandrasegaran
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 6: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (782.805 KB) | DOI: 10.11591/ijece.v8i6.pp4448-4455

Abstract

Climate change has caused an increasing number of landslides, especially in the mountainous provinces of Vietnam, resulting in the destruction of vital transport and other infrastructure. Current monitoring and forecasting systems of the meteorology department cannot deliver accurate and reliable forecasts for weather events and issue timely warnings. This paper describes the development of a simple, low cost, and efficient system for monitoring and warning landslide in real-time. The authors focus on the use of wireless and related technologies in the implementation of a technical solution and some of the problems of the wireless sensor network (WSN) related to power consumption. Promising compressed sensing (CS) based solution for landslide monitoring is discussed and evaluated in the paper.
Co-Authors Gian Quoc-Anh Hoang Quang Trung Kieu Nguyen Thi Kieu Thi Nguyen Kumbesan Sandrasegaran Nguyen Dinh-Chinh Nguyen Dinh-Chinh Nguyen Van Thang Phung Cong Phi Khanh Tran Duc-Tan Tran Duc-Tan