eprintid: 1750
rev_number: 8
eprint_status: archive
userid: 12
dir: disk0/00/00/17/50
datestamp: 2016-05-27 03:08:40
lastmod: 2016-05-27 03:10:31
status_changed: 2016-05-27 03:08:40
type: article
metadata_visibility: show
creators_name: Tran, Duc Tan
creators_name: Nguyen, Dinh Chinh
creators_name: Tran, Duc Nghia
creators_name: Ta, Duc Tuyen
creators_id: tantd@vnu.edu.vn
creators_id: chinhnd@vnu.edu.vn
creators_id: nghiatd@gmail.com
creators_id: tuyentd@vnu.edu.vn
title: Development of a Rainfall-Triggered Landslide System using Wireless Accelerometer Network
ispublished: pub
subjects: ECE
subjects: ElectronicsandComputerEngineering
divisions: fac_fet
abstract: Recently,  Micro-Electro-Mechanical-Systems  (MEMS)  based  accelerometers  become  a  good candidate  for  replacing  the  geophone  and  inclinometer  in  landslide  monitoring.  By  integrating different kinds of sensors to each node of a communication system, Wireless sensor network (WSN) is a good facility to measure and remote monitor the environment's parameters. Obviously, the cost of the WSN needs to be reduced in order to set-up the systems in many more wide, unstable slopes. However, 
for a low-cost  solution,  there  is  no  Wireless  Accelerometer  Network  (WAN)  could  provide  all 
information of vibration, inclination, and displacement at once due to essence drawbacks of MEMS based sensors. Therefore, in this paper, we explored the use of low cost, three degrees of freedom (3-DoF) ADXL335 chip based MEMS accelerometers to measure and real-time monitor the inclination, the  vibration,  and  the  displacement  of  the  soil  slope.  Both  deterministic  and  stochastic  errors  are investigated to maximally reduce the incorrectness from sensors. Several signal processing algorithms are applied to provide the accurate information of the inclination and vibration. For the displacement 
estimation, a novel procedure is proposed to eliminate the accumulated error.
date: 2015
date_type: published
publisher: Advanced Institutes of Convergence Information Technology
full_text_status: public
publication: International Journal of Advancements in Computing Technology
volume: 7
number: 5
pagerange: 14
refereed: TRUE
issn: 2233-9337
citation:   Tran, Duc Tan and Nguyen, Dinh Chinh and Tran, Duc Nghia and Ta, Duc Tuyen  (2015) Development of a Rainfall-Triggered Landslide System using Wireless Accelerometer Network.  International Journal of Advancements in Computing Technology, 7  (5).   p. 14.  ISSN 2233-9337     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1750/1/IJACT3548PPL.pdf