Iot Temelli̇ Deprem Uyari Si̇stemi̇ Geli̇şti̇ri̇lmesi̇ Ve Değerlendi̇ri̇lmesi̇

Karacı, Abdülkadir

doi:10.22531/muglajsci.442492

Cited by 5 publications

(2 citation statements)

References 13 publications

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“…Karacı [189] used vibration sensors for earthquake detection according to some threshold values. If an earthquake has been detected via the vibration sensors, a warning system takes place.…”

Section: Iot-cloud-based Eewsmentioning

confidence: 99%

Early Detection of Earthquakes Using IoT and Cloud Infrastructure: A Survey

Abdalzaher,

Krichen,

Yiltas-Kaplan

et al. 2023

Sustainability

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Earthquake early warning systems (EEWS) are crucial for saving lives in earthquake-prone areas. In this study, we explore the potential of IoT and cloud infrastructure in realizing a sustainable EEWS that is capable of providing early warning to people and coordinating disaster response efforts. To achieve this goal, we provide an overview of the fundamental concepts of seismic waves and associated signal processing. We then present a detailed discussion of the IoT-enabled EEWS, including the use of IoT networks to track the actions taken by various EEWS organizations and the cloud infrastructure to gather data, analyze it, and send alarms when necessary. Furthermore, we present a taxonomy of emerging EEWS approaches using IoT and cloud facilities, which includes the integration of advanced technologies such as machine learning (ML) algorithms, distributed computing, and edge computing. We also elaborate on a generic EEWS architecture that is sustainable and efficient and highlight the importance of considering sustainability in the design of such systems. Additionally, we discuss the role of drones in disaster management and their potential to enhance the effectiveness of EEWS. Furthermore, we provide a summary of the primary verification and validation methods required for the systems under consideration. In addition to the contributions mentioned above, this study also highlights the implications of using IoT and cloud infrastructure in early earthquake detection and disaster management. Our research design involved a comprehensive survey of the existing literature on early earthquake warning systems and the use of IoT and cloud infrastructure. We also conducted a thorough analysis of the taxonomy of emerging EEWS approaches using IoT and cloud facilities and the verification and validation methods required for such systems. Our findings suggest that the use of IoT and cloud infrastructure in early earthquake detection can significantly improve the speed and effectiveness of disaster response efforts, thereby saving lives and reducing the economic impact of earthquakes. Finally, we identify research gaps in this domain and suggest future directions toward achieving a sustainable EEWS. Overall, this study provides valuable insights into the use of IoT and cloud infrastructure in earthquake disaster early detection and emphasizes the importance of sustainability in designing such systems.

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Section: Iot-cloud-based Eewsmentioning

confidence: 99%

Early Detection of Earthquakes Using IoT and Cloud Infrastructure: A Survey

Abdalzaher,

Krichen,

Yiltas-Kaplan

et al. 2023

Sustainability

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“…The developed earthquake warning system designed by Abdulkadir Karaki [34] detects the non-destructive foreshocks, publishes some information on Twitter about the beginning and ending time of earthquake and also warns residents. The system uses Arduino Mega microcontroller, IMU sensor and Grove-Piezo vibration sensor card which are capable of detecting vibrations independently.…”

Section: A Disaster Management and Earthquakementioning

confidence: 99%

A Qualitative Study of Various Aspects of the Application of IoT in Disaster Management

Ghasemi

Karimian

2020

2020 6th International Conference on Web Research (ICWR)

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⎯Considering the vital issue of disaster management and the requirement of its additional development due to the increase in the rate of disasters over the recent years, using new technologies in all stages of disaster management including preparation stages for pre-disaster periods, reaction to disaster during its occurrence as well as the post-disaster reconstruction is very important. Therefore, the capacity of IoT in creating intelligence in objects to investigate different environmental parameters, the capacity of analyzing information, the intelligence required to predict some events and consequently, responding timely to any event and even proposing programs and systems for human performance are very effective in managing disasters. The existing resources for investigating the usages of Internet of Things (IoT) in disaster management could each address a particular aspect of this application. This paper has attempted to present a comprehensive view regarding the different dimensions of application of IoT in disaster management. The advantages and disadvantages of this application are mentioned, some instances of previous systems and models have also been discussed. The novelty of this work is the extent of examined dimensions and also addressing what can be done in different kinds of disasters.

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