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Akademický článek

Radio Propagation Digital Twin Aided Multi-Point Transmission With In-Network Dynamic On-Off Switching

Autor: Csaba Gyorgyi, Jozsef Peto, Peter Voros, Geza Szabo, Sandor Laki

Publikováno v: IEEE Access, Vol 11, Pp 128843-128858 (2023)

GPUs and programmable data planes have gone through an enormous evolution in the past years. GPUs can be used for modeling the real-world environment accurately, while programmable data planes can monitor the network in real-time and implement novel

Externí odkaz: https://doaj.org/article/6a61b8b93e83414aabd62f6b64ea17f4

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Akademický článek

Adaptive Network Traffic Reduction on the Fly With Programmable Data Planes

Autor: Csaba Gyorgyi, Peter Voros, Karoly Kecskemeti, Geza Szabo, Sandor Laki

Publikováno v: IEEE Access, Vol 11, Pp 24935-24944 (2023)

Industrial networks rely on standard real-time communication protocols, such as ProfiNet RT. These real-time protocols use cyclic data exchange between IO devices and controllers. Each IO device reports its internal state to the controller at a prede

Externí odkaz: https://doaj.org/article/0c318f0c29bc4437bc5fcfb41f619dda

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Akademický článek

Flow Fairness With Core-Stateless Resource Sharing in Arbitrary Topology

Autor: Gergo Gombos, David Kis, Lilla Tothmeresz, Tamas Kiraly, Szilveszter Nadas, Sandor Laki

Publikováno v: IEEE Access, Vol 10, Pp 120312-120328 (2022)

Resource sharing is of utmost importance in networking environments where substantial overprovisioning is economically infeasible. Different centralized solutions have recently been proposed for Wide Area Networks, Access Aggregation Networks and oth

Externí odkaz: https://doaj.org/article/a60816c5945140098a5066ec6432f872

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Akademický článek

QBB: Quantile-Based Binarization of 3D Point Cloud Descriptors

Autor: Daniel Varga, Janos Mark Szalai-Gindl, Marton Ambrus-Dobai, Sandor Laki

Publikováno v: IEEE Access, Vol 10, Pp 67839-67850 (2022)

Local 3D point feature descriptors play an important role in many areas of computer vision, such as object recognition, registration, etc. There are many well-functioning feature descriptors, but they are typically real-valued and multidimensional ve

Externí odkaz: https://doaj.org/article/5c6e5550dfe94119bb575de3a0ce38d9

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Akademický článek

Template Matching for 3D Objects in Large Point Clouds Using DBMS

Autor: Daniel Varga, Janos Mark Szalai-Gindl, Bence Formanek, Peter Vaderna, Laszlo Dobos, Sandor Laki

Publikováno v: IEEE Access, Vol 9, Pp 76894-76907 (2021)

LIDAR and depth cameras have gone through a profound technological evolution, making large-scale recording of 3D point cloud data possible which raises new challenges for data processing. Most of the existing 3D point cloud processing methods were de

Externí odkaz: https://doaj.org/article/9dc0bc420fc844b799521daee9a81bb9

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