A review on recent advances in water and wastewater treatment facilities management for earthquake disaster response

Park, Jungsu; Choi, June-Seok; Kim, Keugtae; Yoon, Younghan; Park, Jae-Hyeoung

doi:10.11001/jksww.2020.34.1.009

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2021

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“…In, a proposed system of drone captures image sequences through camera to detect the motion of the chest movement of survivors. In UAV has been used for the detection of the survivals and in three types of sensor system have been used to detect the survivals [26][27].…”

Section: Introductionmentioning

confidence: 99%

IOT Based Smart System for Servival Detection in Disasters Zones

2021

IJATCSE

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Smart systems with high architecture and advance technology has been expected to mitigate losses during disasters especially in earthquake zones. An invention of robotic technology helps to search and rescue the survivals in disasters zones but unable to transmit real time information to base station on-time to expedite the rescue operations. The development of IOT based smart system modernize the survival detection technology to minimize the damages. The proposed system has been tested in controlled environment to evaluate the results and performance of system. The system has been installed in various place between different obstacles to verify and validate the survivals detection frequency and real time information dissemination frequency to its cross pounding base station as well as on handheld devices. Moreover, this research article encompasses various results of respiration, movements and heartbeats of the survival in any natural disaster zones.

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Section: Introductionmentioning

confidence: 99%

IOT Based Smart System for Servival Detection in Disasters Zones

2021

IJATCSE

View full text Add to dashboard Cite

show abstract

A review on recent advances in water and wastewater treatment facilities management for earthquake disaster response

Cited by 1 publication

References 32 publications

IOT Based Smart System for Servival Detection in Disasters Zones

IOT Based Smart System for Servival Detection in Disasters Zones

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