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Student Training on IoT Marine Surveying: A Hands-On Perspective by Means of Remotely Operated Underwater Vehicles

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Distributed Computing and Artificial Intelligence, Special Sessions I, 20th International Conference (DCAI 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 741))

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Abstract

The detailed steps and procedures taken during a hands-on course of a smart marine and maritime surveying postgraduate program are described in this work. The purely practical and experimental course combined with student internship, forced the students to engage themselves to real condition procedures and measurements, focusing in the development of a sensor cluster for the assessment of water quality. Starting from the setup of the sensors and their integration on a Remotely Operated Underwater Vehicle, the course also incorporates the calibration of sensors, their testing in safe and clear water and finally their use in order to assess the environmental conditions of a fish farm. All measurements, performed in two coastal areas of Greece and France, were be uploaded live to the cloud. Although the structure was not combined with Artificial Intelligence during the course, it is designed and developed in order to incorporate bidirectional communication with the Remotely Operated Underwater Vehicle in the near future.

Supported by European Union’s Erasmus+ Programme: Knowledge Alliances call under grant agreement 612198-EPP-1-2019-1-ES-EPPKA2-KA.

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Author information

Authors and Affiliations

  1. International Hellenic University, Alexander University Campus, 57400, Sindos, Greece

    Triantafyllia Anagnostaki, Sofia Sarakinioti, Dimitrios Tziourtzioumis & Theodoros Kosmanis

Authors
  1. Triantafyllia Anagnostaki
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  2. Sofia Sarakinioti
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  3. Dimitrios Tziourtzioumis
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  4. Theodoros Kosmanis
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Corresponding author

Correspondence to Theodoros Kosmanis .

Editor information

Editors and Affiliations

  1. High Performance Computing Center, King Abdulaziz University, Jeddah, Saudi Arabia

    Rashid Mehmood

  2. University of Minho, Braga, Portugal

    Victor Alves

  3. ISEP/GECAD, Instituto Superior de Engenharia do Port, Porto, Portugal

    Isabel Praça

  4. Kielce University of Technology, Kielce, Poland

    Jarosław Wikarek

  5. BISITE, University of Salamanca, Salamanca, Spain

    Javier Parra-Domínguez

  6. Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Roussanka Loukanova

  7. Universidad de Valladolid, Valladolid, Spain

    Ignacio de Miguel

  8. INESC-TEC and GECAD/ISEP, Universidade de Trás-os-Montes e Alto Douro, Vila Real, Portugal

    Tiago Pinto

  9. Universidade de Trás-os-Montes e Alto Douro, Vila Real, Portugal

    Ricardo Nunes

  10. University of Calabria, Arcavacata, Rende CS, Cosenza, Italy

    Michela Ricca

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Anagnostaki, T., Sarakinioti, S., Tziourtzioumis, D., Kosmanis, T. (2023). Student Training on IoT Marine Surveying: A Hands-On Perspective by Means of Remotely Operated Underwater Vehicles. In: Mehmood, R., et al. Distributed Computing and Artificial Intelligence, Special Sessions I, 20th International Conference. DCAI 2023. Lecture Notes in Networks and Systems, vol 741. Springer, Cham. https://doi.org/10.1007/978-3-031-38318-2_23

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