An efficient notification service algorithm for earthquake early warning system

Chi, Tzong‐Cherng; Chen, Chun‐Hao; Chao, Han‐Chieh

doi:10.1109/ictc.2011.6082598

Cited by 6 publications

(3 citation statements)

References 14 publications

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“…Sensors send the alert message as soon as they sense the P‐waves. In the work of Chi et al, alerts about earthquakes are sent using Instant Messaging, ie, the highest priority is given to IoT devices when they need to send message through the network. The system was tested with a MATLAB simulation, and an Android application was developed to receive the alerts.…”

Section: Related Workmentioning

confidence: 99%

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IoT and semantic web technologies for event detection in natural disasters

Greco

Ritrovato

Tiropanis

et al. 2018

Concurrency and Computation

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Summary Natural disasters cannot be predicted well in advance, but it is still possible to decrease the loss of life and mitigate the damages, exploiting some peculiarities that distinguish them. Smart collection, integration, and analysis of data produced by distributed sensors and services are key elements for understanding the context and supporting decision making process for disaster prevention and management. In this paper, we demonstrate how Internet of Things and Semantic Web technologies can be effectively used for abnormal event detection in the contest of an earthquake. In our proposal, a prototype system, which retrieves the data streams from IoT sensors and web services, is presented. In order to contextualize and give a meaning to the data, semantic web technologies are applied for data annotation. We evaluate our system performances by measuring the response time and other parameters that are important in a disaster detection scenario.

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Section: Related Workmentioning

confidence: 99%

“…Sensors send the alert message as soon as they sense the P-waves. In the work of Chi et al, 14 alerts about earthquakes are sent using Instant Messaging, ie, the highest priority is given to…”

Section: Iot and Earthquake Detectionmentioning

confidence: 99%

IoT and semantic web technologies for event detection in natural disasters

Greco

Ritrovato

Tiropanis

et al. 2018

Concurrency and Computation

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“…The distance between the two places is around 150 km. An EEWS has already been deployed and proved that it can provide a warning to Taipei 27 s prior to the arrival of shock waves after an earthquake, such as 921 earthquakes [ 5 ], happening in the middle of Taiwan. With ADRS, there will be enough time for people to move to safe places, to put sensitive equipment into a safe mode and to automatically open elevator doors before the major shaking occurs.…”

Section: Introductionmentioning

confidence: 99%

Active Disaster Response System for a Smart Building

Lin

Chu

et al. 2014

Sensors

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Disaster warning and surveillance systems have been widely applied to help the public be aware of an emergency. However, existing warning systems are unable to cooperate with household appliances or embedded controllers; that is, they cannot provide enough time for preparedness and evacuation, especially for disasters like earthquakes. In addition, the existing warning and surveillance systems are not responsible for collecting sufficient information inside a building for relief workers to conduct a proper rescue action after a disaster happens. In this paper, we describe the design and implementation of a proof of concept prototype, named the active disaster response system (ADRS), which automatically performs emergency tasks when an earthquake happens. ADRS can interpret Common Alerting Protocol (CAP) messages, published by an official agency, and actuate embedded controllers to perform emergency tasks to respond to the alerts. Examples of emergency tasks include opening doors and windows and cutting off power lines and gas valves. In addition, ADRS can maintain a temporary network by utilizing the embedded controllers; hence, victims trapped inside a building are still able to post emergency messages if the original network is disconnected. We conducted a field trial to evaluate the effectiveness of ADRS after an earthquake happened. Our results show that compared to manually operating emergency tasks, ADRS can reduce the operation time by up to 15 s, which is long enough for people to get under sturdy furniture, or to evacuate from the third floor to the first floor, or to run more than 100 m.

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Techniques and methods for managing disasters and critical situations

AlAli,

Alabady

2024

Nat Hazards

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An efficient notification service algorithm for earthquake early warning system

Cited by 6 publications

References 14 publications

IoT and semantic web technologies for event detection in natural disasters

IoT and semantic web technologies for event detection in natural disasters

Active Disaster Response System for a Smart Building

Techniques and methods for managing disasters and critical situations

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