short-paper

Flood Detection and Warning System (FLoWS)

Authors:

Syahaneim Marzukhi,

Mohd Amirul Shafiq Mohamad Sidik,

Haidawati Mohd Nasir,

Zuraini Zainol,

Mohd Nazri IsmailAuthors Info & Claims

IMCOM '18: Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication

Article No.: 36, Pages 1 - 4

https://doi.org/10.1145/3164541.3164623

Published: 05 January 2018 Publication History

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Abstract

In Malaysia, floods are the natural disasters that happen every year during the monsoon season from November until January. These flood caused serious damage to houses, roads, businesses, public facilities and even killed people. Though many steps have been taken by the government in order to prevent these incidents, but it seems went unsolved. Here, the Flood Detection and Warning System (FLoWS) is proposed in helping to monitor and manage this critical situation by providing crucial information (i.e. flood conditions, plan and preparation, and many others) to the public and the local authorities at the affected area. The system is able to measure the water level and alert the public and the local authorities by sending a notification (i.e. SMS and MMS) regarding the flood conditions. Furthermore, the system enables the public and the local authorities to see the live graph data of the water level using the Android application on the mobile phone.

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Riche ADrias AGuermoui MGherib TBoulmaiz TSouissi BMelgani F(2024)A Novel Hybrid Deep-Learning Approach for Flood-Susceptibility MappingRemote Sensing10.3390/rs1619367316:19(3673)Online publication date: 1-Oct-2024
https://doi.org/10.3390/rs16193673
Jadhav DJadhav SShelke JKakade DTalele A(2024)Disaster Detection System and Alert Notification using IoT2024 1st International Conference on Cognitive, Green and Ubiquitous Computing (IC-CGU)10.1109/IC-CGU58078.2024.10530828(1-8)Online publication date: 1-Mar-2024
https://doi.org/10.1109/IC-CGU58078.2024.10530828
Peko MCrnjac Milić DVidaković I(2024)Unmanned Aerial Vehicle Mapping of River Flow for Water Resources Management32nd International Conference on Organization and Technology of Maintenance (OTO 2023)10.1007/978-3-031-51494-4_14(154-163)Online publication date: 30-Jan-2024
https://doi.org/10.1007/978-3-031-51494-4_14
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Index Terms

Flood Detection and Warning System (FLoWS)
1. Hardware
  1. Communication hardware, interfaces and storage
    1. Sensor applications and deployments

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Information & Contributors

Information

Published In

IMCOM '18: Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication

January 2018

628 pages

ISBN:9781450363853

DOI:10.1145/3164541

© 2018 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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SKKU: SUNGKYUNKWAN UNIVERSITY

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 January 2018

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Short-paper
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Refereed limited

Conference

IMCOM '18

IMCOM '18: The 12th International Conference on Ubiquitous Information Management and Communication

January 5 - 7, 2018

Langkawi, Malaysia

Acceptance Rates

IMCOM '18 Paper Acceptance Rate 100 of 255 submissions, 39%;

Overall Acceptance Rate 213 of 621 submissions, 34%

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Cited By

View all

Riche ADrias AGuermoui MGherib TBoulmaiz TSouissi BMelgani F(2024)A Novel Hybrid Deep-Learning Approach for Flood-Susceptibility MappingRemote Sensing10.3390/rs1619367316:19(3673)Online publication date: 1-Oct-2024
https://doi.org/10.3390/rs16193673
Jadhav DJadhav SShelke JKakade DTalele A(2024)Disaster Detection System and Alert Notification using IoT2024 1st International Conference on Cognitive, Green and Ubiquitous Computing (IC-CGU)10.1109/IC-CGU58078.2024.10530828(1-8)Online publication date: 1-Mar-2024
https://doi.org/10.1109/IC-CGU58078.2024.10530828
Peko MCrnjac Milić DVidaković I(2024)Unmanned Aerial Vehicle Mapping of River Flow for Water Resources Management32nd International Conference on Organization and Technology of Maintenance (OTO 2023)10.1007/978-3-031-51494-4_14(154-163)Online publication date: 30-Jan-2024
https://doi.org/10.1007/978-3-031-51494-4_14
Ossevoort SBruns M(2023)Embodying Wind through Flare: How Natural Phenomena Can Contribute to Enriching the Design of Interactive SystemsProceedings of the Seventeenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3569009.3572743(1-11)Online publication date: 26-Feb-2023
https://dl.acm.org/doi/10.1145/3569009.3572743
Adesina MBrake NHaselbach LHariri Asli H(2023)Interagency deployment of a shared low‐cost flood monitoring system to improve flood resilience across Southeast Texas: A case studyJournal of Flood Risk Management10.1111/jfr3.1294017:1Online publication date: 8-Dec-2023
https://doi.org/10.1111/jfr3.12940
Yogarayan SRazak SAbdullah MKwong F(2021)Connected Vehicle Communication Concept for Flood Level Warning Using Low Cost Microcontroller2021 9th International Conference on Information and Communication Technology (ICoICT)10.1109/ICoICT52021.2021.9527432(423-428)Online publication date: 3-Aug-2021
https://doi.org/10.1109/ICoICT52021.2021.9527432
Rashid AAriffin MKasiran Z(2021)IoT-Based Flash Flood Detection and Alert Using TensorFlow2021 11th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)10.1109/ICCSCE52189.2021.9530926(80-85)Online publication date: 27-Aug-2021
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Kunverji KShah KShah N(undefined)A Flood Prediction System Developed Using Various Machine Learning AlgorithmsSSRN Electronic Journal10.2139/ssrn.3866524
https://doi.org/10.2139/ssrn.3866524

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