An autonomous emergency warning system based on cloud servers and SNS

Gulbanu Buribayeva; Taizo Miyachi; Azamat Yeshmukhametov; Yutaro Mikami

doi:10.1016/j.procs.2015.08.225

An autonomous emergency warning system based on cloud servers and SNS

Gulbanu Buribayeva
, Taizo Miyachi
, Azamat Yeshmukhametov
, Yutaro Mikami

Tokai University

Результат исследований › рецензирование

12 Цитирования (Scopus)

Аннотация

There are no warning systems for earthquake, fire and gas disasters in Almaty (Kazakhstan). We propose an autonomous emergency warning system that provides useful awareness against unpredictable disasters. The system mainly consists of sensor network, disaster information mapping server, SNS module, and web server. When the system detects a disaster it distributes real-time warnings with levels of danger and signs of severe damages by the sensor data and GPS position to residents by both SNS (twitter) and the Website with Google maps including realtime safety places. We built a prototype system and could confirm the effectiveness of the warning system.

Язык оригинала	English
Страницы (с-по)	722-729
Число страниц	8
Журнал	Procedia Computer Science
Том	60
Номер выпуска	1
DOI	https://doi.org/10.1016/j.procs.2015.08.225
Состояние	Published - 2015
Опубликовано для внешнего пользования	Да
Событие	19th International Conference on Knowledge Based and Intelligent Information and Engineering Systems, KES 2015 - Продолжительность: сент. 7 2015 → сент. 9 2015

ASJC Scopus subject areas

General Computer Science

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10.1016/j.procs.2015.08.225

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title = "An autonomous emergency warning system based on cloud servers and SNS",

abstract = "There are no warning systems for earthquake, fire and gas disasters in Almaty (Kazakhstan). We propose an autonomous emergency warning system that provides useful awareness against unpredictable disasters. The system mainly consists of sensor network, disaster information mapping server, SNS module, and web server. When the system detects a disaster it distributes real-time warnings with levels of danger and signs of severe damages by the sensor data and GPS position to residents by both SNS (twitter) and the Website with Google maps including realtime safety places. We built a prototype system and could confirm the effectiveness of the warning system.",

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AU - Buribayeva, Gulbanu

AU - Miyachi, Taizo

AU - Yeshmukhametov, Azamat

AU - Mikami, Yutaro

PY - 2015

Y1 - 2015

N2 - There are no warning systems for earthquake, fire and gas disasters in Almaty (Kazakhstan). We propose an autonomous emergency warning system that provides useful awareness against unpredictable disasters. The system mainly consists of sensor network, disaster information mapping server, SNS module, and web server. When the system detects a disaster it distributes real-time warnings with levels of danger and signs of severe damages by the sensor data and GPS position to residents by both SNS (twitter) and the Website with Google maps including realtime safety places. We built a prototype system and could confirm the effectiveness of the warning system.

AB - There are no warning systems for earthquake, fire and gas disasters in Almaty (Kazakhstan). We propose an autonomous emergency warning system that provides useful awareness against unpredictable disasters. The system mainly consists of sensor network, disaster information mapping server, SNS module, and web server. When the system detects a disaster it distributes real-time warnings with levels of danger and signs of severe damages by the sensor data and GPS position to residents by both SNS (twitter) and the Website with Google maps including realtime safety places. We built a prototype system and could confirm the effectiveness of the warning system.

KW - Autonomous waning

KW - Cloud computing

KW - Disaster

KW - Evacuation map

KW - Sensors network

UR - https://www.scopus.com/pages/publications/84941033565

UR - https://www.scopus.com/pages/publications/84941033565#tab=citedBy

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DO - 10.1016/j.procs.2015.08.225

M3 - Conference article

AN - SCOPUS:84941033565

SN - 1877-0509

VL - 60

SP - 722

EP - 729

JO - Procedia Computer Science

JF - Procedia Computer Science

IS - 1

T2 - 19th International Conference on Knowledge Based and Intelligent Information and Engineering Systems, KES 2015

Y2 - 7 September 2015 through 9 September 2015

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An autonomous emergency warning system based on cloud servers and SNS

Аннотация

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