research-article

Crowdsourced mobile app for flood risk management

Authors:

Mary Jane C. Samonte,

Raymond M. Rozario,

Niel Cleo B. Aranjuez,

Christopher A. MalingAuthors Info & Claims

ICCIP '17: Proceedings of the 3rd International Conference on Communication and Information Processing

Pages 65 - 71

https://doi.org/10.1145/3162957.3162962

Published: 24 November 2017 Publication History

Abstract

Crowdsourcing is a way of gathering valuable information, despite geograhical separation, that acts as a revolutionary tool which empower people to participate in aged-old problems. This study focused on how to utilize crowdsourcing and sensors together to monitor flood prone locations in a community. A mobile app was developed to disseminate flood information and to make residents involved in preventing disaster caused by flood. Sensors were integrated to mobile application through Short Message Service (SMS). The application developed is used to receive and send messages to the servers to interpret and filter data for proper alert level display to all users.

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Cited By

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
https://doi.org/10.1109/ICCSCE52189.2021.9530926

Index Terms

Crowdsourced mobile app for flood risk management
1. Information systems
  1. World Wide Web
    1. Web applications
      1. Crowdsourcing

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Published In

cover image ACM Other conferences

ICCIP '17: Proceedings of the 3rd International Conference on Communication and Information Processing

November 2017

545 pages

ISBN:9781450353656

DOI:10.1145/3162957

Conference Chairs:
Jalel Ben-Othman
University of Paris 13, France
,
Feng Gang
UESTC, China
,
Program Chairs:
Jain-Shing Liu
Providence University, Taiwan
,
Masayuki Arai
Graduate School of Science and Engineering Teikyo University, Japan

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 November 2017

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ICCIP 2017

ICCIP 2017: 2017 the 3rd International Conference on Communication and Information Processing

November 24 - 26, 2017

Tokyo, Japan

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Cited By

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
https://doi.org/10.1109/ICCSCE52189.2021.9530926

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