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to explore new optimizations, such as data deduplication, support for multi tenancy, and new scheduling algorithms. These optimizations should be implemented and integrated into the platform.; Implementation
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selection of sensors and their respective lighting to be adopted.; 3. Study and development of algorithms for detecting inconsistencies.; 4. Study and implementation of operator interfaces.; 5. Assembly and
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workload’s data (e.g., Deep Learning, Large Language Models) while addressing the I/O interference and fairness challenges faced by current distributed infrastructures, where storage resources are being shared
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distribution networks, considering solutions such as FL Energy's OperatorFabric.; - Study human-machine interaction methodologies that reduce the complexity of supervising multiple distribution networks
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on the application of coherent optical communication systems in submarine cables. The aim is to exploit the phase and polarization information of transmitted signals to enable distributed sensing along the cable
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suitable voltage and frequency control strategies, based on state-of-the-art research, and development of dispatch algorithms for the isolated microgrid, considering the coordinated control of generation
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to distributed intelligent components, which requires both novel middleware and runtimes, as well as new and improved development approaches. Processor architectures moved from single-core to multi and many-core
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to distributed intelligent components, which requires both novel middleware and runtimes, as well as new and improved development approaches. Processor architectures moved from single-core to multi and many-core
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adapted to other types and configurations of offshore wind farms. The specific objectives include:; •Designing and implementing an SHM architecture that integrates distributed sensors (on the turbine, tower