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Tytuł artykułu

Dashboard User interface (UI) Implementation for remote critical infrastructure inspection by using UAV/Satellite in times of pandemic

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Konferencja
Federated Conference on Computer Science and Information Systems (19 ; 08-11.09.2024 ; Belgrade, Serbia)
Języki publikacji
EN
Abstrakty
EN
In times of pandemic, many activities of the society, economy are minimized due to the risk of transmission. In particular, in the period of Covid-19, with the implementation of the Lockdown, many activities related to monitoring and maintenance of infrastructure were suspended to avoid the spread of the contagiousness of the virus. In addition, the pandemic of highly contagious viruses, the critical infrastructure monitoring sector is one of the areas that may be directly affected. More specific, in the context of monitoring critical infrastructure through satellites and UAVs, the data processing involves extracting valuable insights, detecting potential threats, and assessing the overall condition of the infrastructure. This processed information is then used to make informed decisions regarding maintenance, security measures, and response strategies to mitigate risks and safeguard the critical assets. In this paper, we present a user interface dashboard dedicated to inspecting the critical infrastructure events captured from UAV or satellite. The design and architecture of the Dashboard User Interface its primary goal continues to be delivering real-time images to users, showcasing areas/components/points of failure in critical infrastructure, including damaged components, structural issues, corrosion, vegetation obstruction etc.
Rocznik
Tom
Strony
561--566
Opis fizyczny
Bibliogr. 16 poz., il.
Twórcy
  • Skyld Security and Defence ltd, Alkaiou 23, 2404, Nicosia, Cyprus
  • Skyld Security and Defence ltd, Alkaiou 23, 2404, Nicosia, Cyprus
  • Skyld Security and Defence ltd, Alkaiou 23, 2404, Nicosia, Cyprus
  • Dept. Shipping, Trade & Transport, Univ. of Aegean, Korai St. 2A, 82132, Chios, Greece
autor
  • Skyld Security and Defence ltd, Alkaiou 23, 2404, Nicosia, Cyprus
  • Skyld Security and Defence ltd, Alkaiou 23, 2404, Nicosia, Cyprus
Bibliografia
  • 1. Jaroshaw, M. (2022). Location Accuracy of a Ground Station based on RSS in the Rice Channel. Proceedings of the 17th Conference on Computer Science and Intelligence Systems, pp. 577-80, dx.doi.org/10.15439/2022F15
  • 2. Buczyński, H.Pisarczyk, P. and Cabaj, K. (2022). Resource Partitioning in Phoenix-RTOS for Critical and Noncritical Software for UAV systems. Proceedings of the 17th Conference on Computer Science and Intelligence Systems, pp.605-9, http://dx.doi.org/10.15439/2022F163
  • 3. Danilchenko, K. and M. Segal (2021). An Efficient Connected Swarm Deployment via Deep Learning. Proceedings of the 16th Conference on Computer Science and Intelligence Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 25, pages 1–7 (2021). http://dx.doi.org/10.15439/2021F001
  • 4. Adam, T. and F, Babic (2021). UAV Mission Definition and Implementation for Visual Inspection. Proceedings of the 16th Conference on Computer Science and Intelligence Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 25, pages 343–346 (2021) http://dx.doi.org/10.15439/2021F24
  • 5. A. Dillon, (2006). User Interface Design. http://dx.doi.org/10.1002/0470018860.s00054
  • 6. A. Panda, J.N. Ramos, Making Critical Infrastructure Resilient: Ensuring Continuity of Service Policy and Regulations in Europe and Central Asia, 2020. www. undrr.org.
  • 7. W. Clinton, Presidential Decision Directive 63; The White House: Washington, DC, USA, 1998. Available online: fas.org/irp/ offdocs/pdd/pdd-63.htm (accessed on 29 April 2024).
  • 8. National Infrastructure Advisory Council (US); T. Noonan; E. Archuleta. The National Infrastructure Advisory Council’s Final Report and Recommendations on the Insider Threat to Crit- ical Infrastructures; DHS/NIAC: Washington, DC, USA, 2009.
  • 9. L. Coppolino, L. S. D’Antonio, S.V. Giuliano, G. Mazzeo and L. Romano. A framework for Seveso-compliant cyber-physical security testing in sensitive industrial plants. Comput. Ind. 2022, 136, 103589. https://doi.org/10.1016/j.compind.2021.103589.
  • 10. Monstadt, and M. Schmidt, Urban resilience in the making? The governance of critical infrastructures in German cities 56 (11) (2019) 2353–2371, https://doi.org/10.1177/0042098018808483
  • 11. G.P. Cimellaro, P. Crupi, H.U. Kim, and A. Agrawal, Modeling interdependencies of critical infrastructures after hurricane Sandy, Int. J. Disaster Risk Reduc. 38 (2019), 101191, https://doi.org/10.1016/J.IJDRR.2019.101191.
  • 12. B. Rathnayaka, C. Siriwardana, D.J. Robert, P. Amaratunga, and S. Sujeeva. Improving the resilience of critical infrastructure: Evidence-based insights from a systematic literature review. International Journal of Disaster Risk Reduction, 2022, https://doi.org/10.1016/j.ijdrr.2022.103123.
  • 13. OECD, Good Governance for Critical Infrastructure Resilience, OECD, 2019, https://doi.org/10.1787/02F0E5A0-EN.
  • 14. F. De Felice, I. Baffo, and A. Petrillo. Critical Infrastructures Overview: Past, Present and Future. Sustainability 2022, 14, 2233. https:// doi.org/10.3390/su14042233.
  • 15. C. Berger, P. Eichhammer, H.P. Reiser, J. Domaschka, F.J. Hauck, and G. Habiger. A Survey on Resilience in the IoT: Taxonomy, Classification, and Discussion of Resilience Mechanisms. ACM Comput. Surv. 2022, 54, 147. https://doi.org/10.1145/3462513.
  • 16. M. Barnes, K. Brown, J. Carmona, D. Cevasco, M. Collu, C. Crabtree, W. Crowther, S. Djurovic, D. Flynn, P.R. Green, P.R. et al. Technology Drivers in Windfarm Asset Management. Home Offshore. 2018. Available online: https://doi.org/10.17861/20180718 (accessed on 15 May 2024).
Uwagi
1. This research was funded by SUNRISE H2020, which has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement no. 101073821.
2. Thematic Sessions: Short Papers
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-34514b62-1957-4e0e-b348-0b7a6ca2104c
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