Intelligent flood information system via SMS (IFIS)

Hussin, Sayed Aziz Sayed; Ismail, Mohd Nazri; Sofian, Hannah

doi:10.1145/2184751.2184830

Cited by 6 publications

(4 citation statements)

References 2 publications

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“…earth quakes and landslides [Wenzel et al 2001;Cardellini and Osimani 2008], floods [Hussin, Ismail, and Sofian 2012], or large open-to-the-public organizations like a university [Lee, Chung, and Kim 2013]). However, the cellular broadcast technology has some advantages over the text messaging technology.…”

Section: Introductionmentioning

confidence: 99%

Citizens’ adaptive or avoiding behavioral response to an emergency message on their mobile phone

Gutteling

Terpstra²,

Kerstholt

2017

Journal of Risk Research

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Since November 2012, Dutch civil defense organizations employ NL-Alert, a cellular broadcast-based warning system to inform the public. Individuals receive a message on their mobile phone about the actual threat, as well as some advice how to deal with the situation at hand. This study reports on the behavioral effects of NL-Alert (n = 643). The current risk communication literature suggested underlying mechanisms as perceived threat, efficacy beliefs, social norms, information sufficiency, and perceived message quality. Results indicate that adaptive behavior and behavioral avoidance can be predicted by subsets of these determinants. Affective and social predictors appear to be more important in this context that socio-cognitive predictors. Implications for the use of cellular broadcast systems like NL-Alert as a warning tool in emergency situations are discussed.

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Section: Introductionmentioning

confidence: 99%

Citizens’ adaptive or avoiding behavioral response to an emergency message on their mobile phone

Gutteling

Terpstra²,

Kerstholt

2017

Journal of Risk Research

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“…Measuring water level in a flood alert system includes submersible pressure sensor, bubbler system, shaft encoder, and the latest technology, a non-contact radar level system [6,7]. In most flood alert systems, rainfall is an early warning trigger to flood events.…”

Section: Introductionmentioning

confidence: 99%

“…Data indicating a water velocity change while water level remains fixed can be an important trigger for flood events Transmitting and alarming is perhaps one of the most important components of a flood warning system. There are three primary options available in the complete flood monitoring kit including: data to the web, ALERTS network transmissions, and point to point data to the desktop [6,12].…”

Section: Introductionmentioning

confidence: 99%

Android Application for Microcontroller-based Reservoir Water Level Monitoring

Arboleda¹,

Cero²,

L.³

2018

IJEEI

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A reservoir water level monitoring system was designed, constructed using a microcontroller and evaluated through functionality, reliability and accuracy. The monitoring system components consisted of a Gizduino microcontroller, Ethernet shield, serial camera and float switches which enabled the system to provide real time status and pictures of the reservoir. The monitoring system can be accessed using an Android application that can be installed in a compatible Android smartphone. An internet connection with a dedicated public IP was needed to broadcast the status and pictures of the reservoir. The specific monitoring system is fixed to a specific dam as it has a set of different float switches and camera. A backup battery supply was integrated to the monitoring system to provide continuous power to the system. Fifty students evaluated the user acceptance of the water level monitoring system. According to the participants, the system was user-friendly, functional, reliable and accurate.

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Section: Introductionmentioning

confidence: 99%

Android Application for Microcontroller-based Reservoir Water Level Monitoring

Arboleda

Cero

2018

IJEEI

View full text Add to dashboard Cite

A reservoir water level monitoring system was designed, constructed using a microcontroller and evaluated through functionality, reliability and accuracy. The monitoring system components consisted of a Gizduino microcontroller, Ethernet shield, serial camera and float switches which enabled the system to provide real time status and pictures of the reservoir. The monitoring system can be accessed using an Android application that can be installed in a compatible Android smartphone. An internet connection with a dedicated public IP was needed to broadcast the status and pictures of the reservoir. The specific monitoring system is fixed to a specific dam as it has a set of different float switches and camera. A back-up battery supply was integrated to the monitoring system to provide continuous power to the system. Fifty students evaluated the user acceptance of the water level monitoring system. According to the participants, the system was user-friendly, functional, reliable and accurate.

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Intelligent flood information system via SMS (IFIS)

Cited by 6 publications

References 2 publications

Citizens’ adaptive or avoiding behavioral response to an emergency message on their mobile phone

Citizens’ adaptive or avoiding behavioral response to an emergency message on their mobile phone

Android Application for Microcontroller-based Reservoir Water Level Monitoring

Android Application for Microcontroller-based Reservoir Water Level Monitoring

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