Developing a Robust Emergency Information System for Natural Disasters

Konstantinos Papatheodosiou; Chrissanthi Angeli

doi:doi:10.11648/j.acis.20231101.12

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Developing a Robust Emergency Information System for Natural Disasters

Konstantinos Papatheodosiou, Chrissanthi Angeli

Published in Automation, Control and Intelligent Systems (Volume 11, Issue 1)

Received: 14 February 2023 Accepted: 7 March 2023 Published: 16 March 2023

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Abstract

A lot of Emergency Information Systems have been developed to inform people about impending emergencies. Most of them are part of an integrated system, collaborating with a respective warning system. No matter which technology is employed in the development process, an Emergency Information System aspires to deliver emergency content accurately and rapidly. Most of Emergency Information Systems transmit the emergency content in a predetermined geographical area. In parallel, a typical DRM Emergency Information System doesn’t vouch for transmission accuracy in the case of a possible communication loss or a power outage. This paper presents a DRM-based Emergency Information System that works well in remote areas with rough geographical terrain, offsetting a possible communication loss or a possible power outage. An efficient broadcast selection algorithm has been developed to answer this purpose. The paper also indicates the maximum coverage of the underlying system, in a mountainous area (Vigla), taking advantage of a standard methodology called " LEGBAC”. Specific software was used to come up with the wide area coverage map. The results proved that our system achieved maximum coverage in any antenna calibration (99% approximately) and the value of the respective signal strength was not significantly altered by the increase in the number of kilometers away from the transmission center, indicating the robustness of our system and the competency of the broadcast selection algorithm.

Published in	Automation, Control and Intelligent Systems (Volume 11, Issue 1)
DOI	10.11648/j.acis.20231101.12
Page(s)	8-14
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2023. Published by Science Publishing Group

Keywords

Warning System, Coverage Prediction, Emergency Information System

References

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APA Style

Konstantinos Papatheodosiou, Chrissanthi Angeli. (2023). Developing a Robust Emergency Information System for Natural Disasters. Automation, Control and Intelligent Systems, 11(1), 8-14. https://doi.org/10.11648/j.acis.20231101.12

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ACS Style

Konstantinos Papatheodosiou; Chrissanthi Angeli. Developing a Robust Emergency Information System for Natural Disasters. Autom. Control Intell. Syst. 2023, 11(1), 8-14. doi: 10.11648/j.acis.20231101.12

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AMA Style

Konstantinos Papatheodosiou, Chrissanthi Angeli. Developing a Robust Emergency Information System for Natural Disasters. Autom Control Intell Syst. 2023;11(1):8-14. doi: 10.11648/j.acis.20231101.12

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@article{10.11648/j.acis.20231101.12,
  author = {Konstantinos Papatheodosiou and Chrissanthi Angeli},
  title = {Developing a Robust Emergency Information System for Natural Disasters},
  journal = {Automation, Control and Intelligent Systems},
  volume = {11},
  number = {1},
  pages = {8-14},
  doi = {10.11648/j.acis.20231101.12},
  url = {https://doi.org/10.11648/j.acis.20231101.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20231101.12},
  abstract = {A lot of Emergency Information Systems have been developed to inform people about impending emergencies. Most of them are part of an integrated system, collaborating with a respective warning system. No matter which technology is employed in the development process, an Emergency Information System aspires to deliver emergency content accurately and rapidly. Most of Emergency Information Systems transmit the emergency content in a predetermined geographical area. In parallel, a typical DRM Emergency Information System doesn’t vouch for transmission accuracy in the case of a possible communication loss or a power outage. This paper presents a DRM-based Emergency Information System that works well in remote areas with rough geographical terrain, offsetting a possible communication loss or a possible power outage. An efficient broadcast selection algorithm has been developed to answer this purpose. The paper also indicates the maximum coverage of the underlying system, in a mountainous area (Vigla), taking advantage of a standard methodology called " LEGBAC”. Specific software was used to come up with the wide area coverage map. The results proved that our system achieved maximum coverage in any antenna calibration (99% approximately) and the value of the respective signal strength was not significantly altered by the increase in the number of kilometers away from the transmission center, indicating the robustness of our system and the competency of the broadcast selection algorithm.},
 year = {2023}
}

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TY  - JOUR
T1  - Developing a Robust Emergency Information System for Natural Disasters
AU  - Konstantinos Papatheodosiou
AU  - Chrissanthi Angeli
Y1  - 2023/03/16
PY  - 2023
N1  - https://doi.org/10.11648/j.acis.20231101.12
DO  - 10.11648/j.acis.20231101.12
T2  - Automation, Control and Intelligent Systems
JF  - Automation, Control and Intelligent Systems
JO  - Automation, Control and Intelligent Systems
SP  - 8
EP  - 14
PB  - Science Publishing Group
SN  - 2328-5591
UR  - https://doi.org/10.11648/j.acis.20231101.12
AB  - A lot of Emergency Information Systems have been developed to inform people about impending emergencies. Most of them are part of an integrated system, collaborating with a respective warning system. No matter which technology is employed in the development process, an Emergency Information System aspires to deliver emergency content accurately and rapidly. Most of Emergency Information Systems transmit the emergency content in a predetermined geographical area. In parallel, a typical DRM Emergency Information System doesn’t vouch for transmission accuracy in the case of a possible communication loss or a power outage. This paper presents a DRM-based Emergency Information System that works well in remote areas with rough geographical terrain, offsetting a possible communication loss or a possible power outage. An efficient broadcast selection algorithm has been developed to answer this purpose. The paper also indicates the maximum coverage of the underlying system, in a mountainous area (Vigla), taking advantage of a standard methodology called " LEGBAC”. Specific software was used to come up with the wide area coverage map. The results proved that our system achieved maximum coverage in any antenna calibration (99% approximately) and the value of the respective signal strength was not significantly altered by the increase in the number of kilometers away from the transmission center, indicating the robustness of our system and the competency of the broadcast selection algorithm.
VL  - 11
IS  - 1
ER  -

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Author Information

Konstantinos Papatheodosiou

School of Engineering, Department of Mechanical Engineering, University of West Attica, Athens, Greece
Chrissanthi Angeli

School of Engineering, Department of Electrical and Electronics Engineering, University of West Attica, Athens, Greece

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Plain Text BibTeX RIS

APA Style

Konstantinos Papatheodosiou, Chrissanthi Angeli. (2023). Developing a Robust Emergency Information System for Natural Disasters. Automation, Control and Intelligent Systems, 11(1), 8-14. https://doi.org/10.11648/j.acis.20231101.12

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ACS Style

Konstantinos Papatheodosiou; Chrissanthi Angeli. Developing a Robust Emergency Information System for Natural Disasters. Autom. Control Intell. Syst. 2023, 11(1), 8-14. doi: 10.11648/j.acis.20231101.12

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AMA Style

Konstantinos Papatheodosiou, Chrissanthi Angeli. Developing a Robust Emergency Information System for Natural Disasters. Autom Control Intell Syst. 2023;11(1):8-14. doi: 10.11648/j.acis.20231101.12

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@article{10.11648/j.acis.20231101.12,
  author = {Konstantinos Papatheodosiou and Chrissanthi Angeli},
  title = {Developing a Robust Emergency Information System for Natural Disasters},
  journal = {Automation, Control and Intelligent Systems},
  volume = {11},
  number = {1},
  pages = {8-14},
  doi = {10.11648/j.acis.20231101.12},
  url = {https://doi.org/10.11648/j.acis.20231101.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20231101.12},
  abstract = {A lot of Emergency Information Systems have been developed to inform people about impending emergencies. Most of them are part of an integrated system, collaborating with a respective warning system. No matter which technology is employed in the development process, an Emergency Information System aspires to deliver emergency content accurately and rapidly. Most of Emergency Information Systems transmit the emergency content in a predetermined geographical area. In parallel, a typical DRM Emergency Information System doesn’t vouch for transmission accuracy in the case of a possible communication loss or a power outage. This paper presents a DRM-based Emergency Information System that works well in remote areas with rough geographical terrain, offsetting a possible communication loss or a possible power outage. An efficient broadcast selection algorithm has been developed to answer this purpose. The paper also indicates the maximum coverage of the underlying system, in a mountainous area (Vigla), taking advantage of a standard methodology called " LEGBAC”. Specific software was used to come up with the wide area coverage map. The results proved that our system achieved maximum coverage in any antenna calibration (99% approximately) and the value of the respective signal strength was not significantly altered by the increase in the number of kilometers away from the transmission center, indicating the robustness of our system and the competency of the broadcast selection algorithm.},
 year = {2023}
}

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TY  - JOUR
T1  - Developing a Robust Emergency Information System for Natural Disasters
AU  - Konstantinos Papatheodosiou
AU  - Chrissanthi Angeli
Y1  - 2023/03/16
PY  - 2023
N1  - https://doi.org/10.11648/j.acis.20231101.12
DO  - 10.11648/j.acis.20231101.12
T2  - Automation, Control and Intelligent Systems
JF  - Automation, Control and Intelligent Systems
JO  - Automation, Control and Intelligent Systems
SP  - 8
EP  - 14
PB  - Science Publishing Group
SN  - 2328-5591
UR  - https://doi.org/10.11648/j.acis.20231101.12
AB  - A lot of Emergency Information Systems have been developed to inform people about impending emergencies. Most of them are part of an integrated system, collaborating with a respective warning system. No matter which technology is employed in the development process, an Emergency Information System aspires to deliver emergency content accurately and rapidly. Most of Emergency Information Systems transmit the emergency content in a predetermined geographical area. In parallel, a typical DRM Emergency Information System doesn’t vouch for transmission accuracy in the case of a possible communication loss or a power outage. This paper presents a DRM-based Emergency Information System that works well in remote areas with rough geographical terrain, offsetting a possible communication loss or a possible power outage. An efficient broadcast selection algorithm has been developed to answer this purpose. The paper also indicates the maximum coverage of the underlying system, in a mountainous area (Vigla), taking advantage of a standard methodology called " LEGBAC”. Specific software was used to come up with the wide area coverage map. The results proved that our system achieved maximum coverage in any antenna calibration (99% approximately) and the value of the respective signal strength was not significantly altered by the increase in the number of kilometers away from the transmission center, indicating the robustness of our system and the competency of the broadcast selection algorithm.
VL  - 11
IS  - 1
ER  -

Copy | Download