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9 results on '"Alexias, Pavlos"'

1. Zero-energy Devices for 6G: Technical Enablers at a Glance

Author

López, Onel, Singh, Ritesh Kumar, Phan-Huy, Dinh-Thuy, Katranaras, Efstathios, Mazloum, Nafiseh, Jäntti, Riku, Khan, Hamza, Rosabal, Osmel, Alexias, Pavlos, Raghuwanshi, Prasoon, Ruiz-Guirola, David, Singh, Bikramjit, Höglund, Andreas, Van, Dung Pham, Azarbahram, Amirhossein, and Famaey, Jeroen

Subjects
Electrical Engineering and Systems Science - Signal Processing
Abstract

Low-cost, resource-constrained, maintenance-free, and energy-harvesting (EH) Internet of Things (IoT) devices, referred to as zero-energy devices (ZEDs), are rapidly attracting attention from industry and academia due to their myriad of applications. To date, such devices remain primarily unsupported by modern IoT connectivity solutions due to their intrinsic fabrication, hardware, deployment, and operation limitations, while lacking clarity on their key technical enablers and prospects. Herein, we address this by discussing the main characteristics and enabling technologies of ZEDs within the next generation of mobile networks, specifically focusing on unconventional EH sources, multi-source EH, power management, energy storage solutions, manufacturing material and practices, backscattering, and low-complexity receivers. Moreover, we highlight the need for lightweight and energy-aware computing, communication, and scheduling protocols, while discussing potential approaches related to TinyML, duty cycling, and infrastructure enablers like radio frequency wireless power transfer and wake-up protocols. Challenging aspects and open research directions are identified and discussed in all the cases. Finally, we showcase an experimental ZED proof-of-concept related to ambient cellular backscattering., Comment: 8 pages, 4 Figures

Published
2024

5. A linearized free-surface RANS method for self-propulsion and maneuvering

Author

Geremia, Paolo, Maki, Kevin J., Alexias, Pavlos, Geremia, Paolo, Maki, Kevin J., and Alexias, Pavlos

Abstract

Numerical prediction of the hydrodynamical performance of unsteady ship operations, such as self-propulsion and maneuvering, is an important method to help naval architects design optimal ship hulls. Currently, traditional finite-volume Computational Fluid Dynamics (CFD) methods offer a well-proven simulation platform to realize such predictions with a high degree of accuracy. In this work, a novel transient CFD method based on an unsteady linearized free-surface RANS solver is presented for the objective of simulating ship maneuvering. The specific results presented in the paper are for the self-propulsion and turning circle of the Korean Containership KCS. The results achieved, show that the new linearized free-surface RANS solver provides a viable and more cost-effective alternative than traditional Volume-of-Fluid (VOF) methods when applied to streamlined bodies, such as displacement hulls. The key new developments highlighted in this paper are in the way that self-propulsion is included and a new robust mesh motion method to handle the relative motion of the rudder.

Published
2021

7. A linearized free-surface rans method for ship maneuvering

Author

Geremia, Paolo, Maki, Kevin J., and Alexias, Pavlos

Subjects
Finite element method, Enginyeria naval, Marine engineering, CFD, free-surface, maneuvering, PMM, self-propulsion, Matemàtiques i estadística::Anàlisi numèrica::Mètodes en elements finits [Àrees temàtiques de la UPC]
Abstract

Proper prediction of ship maneuvering – together with powering and seakeeping – is considered essential these days to help naval architects design optimal ship hulls. In this context, traditional finite-volume Computational Fluid Dynamics (CFD) methods offer a well-proven simulation platform to realize such predictions with a high degree of certainty. In this work, a novel transient CFD method based on a linearized free-surface RANS solver is presented to assess maneuvering actions of both captive and free-running ship performance on a series of selected test cases. The performance of the proposed solver is considerably better in terms of solution speed than other traditional CFD methods employed for this type of analysis, especially when applied to transient solutions requiring long simulation times.

Published
2019

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