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The banjir rescue: an IoT-based flood evacuation center system / Nur Aliah Syamsurial

One of the important process involves when disaster happens is to allocate the victims to the navigation center. Current evacuation practice may cause further damage as the victims need to wait for the rescuer team to come. Thus, a self-navigation system would allow the victims to save their life an...

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Main Author: Syamsurial, Nur Aliah
Format: Thesis
Language:English
Published: 2020
Subjects:
Floods
Online Access:https://ir.uitm.edu.my/id/eprint/107902/1/107902.pdf
https://ir.uitm.edu.my/id/eprint/107902/
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spelling my.uitm.ir.1079022025-01-19T00:06:07Z https://ir.uitm.edu.my/id/eprint/107902/ The banjir rescue: an IoT-based flood evacuation center system / Nur Aliah Syamsurial Syamsurial, Nur Aliah Floods One of the important process involves when disaster happens is to allocate the victims to the navigation center. Current evacuation practice may cause further damage as the victims need to wait for the rescuer team to come. Thus, a self-navigation system would allow the victims to save their life and belongings sooner by determining the appropriate evacuation center. In this approach, the appropriate evacuation center is determined based on two critical parameters which are the water level and distance. First, the near-real time data retrieved from water level sensor set up at the evacuation centers is sent to the system and being compared with the evacuation centers’ water threshold value. The algorithm will then proceed with the second phase that is checking for the distance between the victims’ current location and the evacuation center, if the water level found at the first phase is less than the threshold. Finally, the selection is made where the algorithm will choose the nearest evacuation center to the victims. The system will get the coordinates of the appropriate evacuation center that passes both phases and send the coordinates to the installed navigation applications on the mobile phone such as Google Maps and Waze. The desired navigation app will be launched with the coordinates passed from the system to guide victims to reach the appropriate evacuation center. The result shows that the proposed approach could provide a near-real-time water level reading of each sensor and near-accurate distance calculation to the system to determine the appropriate evacuation center. 2020 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/107902/1/107902.pdf The banjir rescue: an IoT-based flood evacuation center system / Nur Aliah Syamsurial. (2020) Degree thesis, thesis, Universiti Teknologi MARA (UiTM). <http://terminalib.uitm.edu.my/107902.pdf>
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Floods
spellingShingle Floods
Syamsurial, Nur Aliah
The banjir rescue: an IoT-based flood evacuation center system / Nur Aliah Syamsurial
description One of the important process involves when disaster happens is to allocate the victims to the navigation center. Current evacuation practice may cause further damage as the victims need to wait for the rescuer team to come. Thus, a self-navigation system would allow the victims to save their life and belongings sooner by determining the appropriate evacuation center. In this approach, the appropriate evacuation center is determined based on two critical parameters which are the water level and distance. First, the near-real time data retrieved from water level sensor set up at the evacuation centers is sent to the system and being compared with the evacuation centers’ water threshold value. The algorithm will then proceed with the second phase that is checking for the distance between the victims’ current location and the evacuation center, if the water level found at the first phase is less than the threshold. Finally, the selection is made where the algorithm will choose the nearest evacuation center to the victims. The system will get the coordinates of the appropriate evacuation center that passes both phases and send the coordinates to the installed navigation applications on the mobile phone such as Google Maps and Waze. The desired navigation app will be launched with the coordinates passed from the system to guide victims to reach the appropriate evacuation center. The result shows that the proposed approach could provide a near-real-time water level reading of each sensor and near-accurate distance calculation to the system to determine the appropriate evacuation center.
format Thesis
author Syamsurial, Nur Aliah
author_facet Syamsurial, Nur Aliah
author_sort Syamsurial, Nur Aliah
title The banjir rescue: an IoT-based flood evacuation center system / Nur Aliah Syamsurial
title_short The banjir rescue: an IoT-based flood evacuation center system / Nur Aliah Syamsurial
title_full The banjir rescue: an IoT-based flood evacuation center system / Nur Aliah Syamsurial
title_fullStr The banjir rescue: an IoT-based flood evacuation center system / Nur Aliah Syamsurial
title_full_unstemmed The banjir rescue: an IoT-based flood evacuation center system / Nur Aliah Syamsurial
title_sort banjir rescue: an iot-based flood evacuation center system / nur aliah syamsurial
publishDate 2020
url https://ir.uitm.edu.my/id/eprint/107902/1/107902.pdf
https://ir.uitm.edu.my/id/eprint/107902/
_version_ 1823097836018860032
score 13.235796

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