 | 2024 12-th International Scientific Conference COMPUTER SCIENCE |  |
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Invited paper "Digital Twin of Varna Bay and its Applications" by Prof. Todor Ganchev, Technical University of Varna (TUV), IEEE Senior member.
Abstract: The Digital Twin (DT) of Varna Bay builds on computational infrastructure for maritime simulations, which during the ILIAD project was enhanced with purposely developed digital signal processing (DSP), machine learning (ML) and Artificial Intelligence (AI) components for data analysis, interpretation, decision support, as well as with augmented reality (AR) capability for information visualisation, and was linked to real-time data streams – both sensor data and citizen contributed data. Specifically, the Varna Bay DT is fed with heterogeneous information originating from diverse sources, such as the meteorological sensor network infrastructure, enhanced with water current sensors deployed in the Varna Port Complex, and citizen-science-based information collected through a purposely developed web application ICC, which empowers citizens to provide real-time observations and reporting of meteorological conditions, pollution in the sea and coastal areas, jellyfish swarms, presence of unexpected objects in the water pathways, hazard reporting, etc. Two applications were developed based on the DT to demonstrate its practical worth in solving real-world problems, linked to (i) Use case 1: Blind navigation during unfavourable weather conditions and (ii) Use case 2: Location-aware decision support for maritime traffic managers. These will help reduce the number of days that the Varna Port Complex remains closed due to low visibility or strong winds, and thus, increase the economic efficiency of shipping and safety by increasing the level of awareness and decision support of the Bridge team.
Invited paper "Artificial Intelligence in the Controlled Nuclear Fusion Reactions" by Prof. Dimiter Alexandrov, Lakehead University, Canada.
Last changed on 14.08.2024, 11:28:00