• Matchmaking optimisation for car sharing services 

  Sardouk, Firas; Vida, Rolland; Cinkler, Tibor (2023)

  With the continuous growth of our cities it became obvious that personal car ownership is not sustainable on the long run. Personal cars are only used a couple of hours per day, the rest of the time occupying a parking ...

• Performance simulation of Power over Ethernet on spacecraft buses 

  Skriba, Dániel; Nagy, Lajos (2023)

  This paper presents a waveform level simulation for 100Base-TX Ethernet for performance evaluation on spacecraft power buses. The article starts by explaining the motives behind using Ethernet technology on spacecrafts. ...

• Utilization of AI in 5G Edge Networks 

  Horváth, Márton Áron (2023)

  As society advances toward the information era, the telecommunications network, a major aspect of this transformation, is undergoing rapid and profound change. Innovative methods, such as Artificial Intelligence (AI), are ...

• Power Optimization of Massive MIMO Using Quantum Genetic Algorithm 

  Almasaoodi, Mohammed; Sabaawi, Abdulbasit; El Gaily, Sara; Imre, Sándor (2023)

  The massive Multiple-Input Multiple-Output (MIMO) is key enabling technology for the 5G and 6G cellular technologies, which allows dramatically improving the energy efficiency of the network, as well as increasing the ...

• The development of a soil-movement measurement system to create more precise numeric soil models 

  Wágner, Árpád; Szabó, Bence; Kovács, László; Tamás, Kornél; Grad-Gyenge, László (2023)

  A well developed and industrialized agriculture system is one of the bases of our modern society, but it introduces a problem, as it also is a large contributor to climate change. Even only the use of unoptimized tools in ...

• Implementing a Text-to-Speech synthesis model on a Raspberry Pi for Industrial Applications 

  Mandeel, Ali Raheem; Aggar, Ammar Abdullah; Al-Radhi, Mohammed Salah; Csapó, Tamás Gábor (2023)

  Text-to-Speech (TTS) produces human-like speech from input text. It has recently acquired prominence by applying deep neural networks. Nowadays, end-to-end TTS models produce highly natural synthesized speech but require ...

• Improving Naturalness of Neural-based TTS System Trained with Arabic Limited Data 

  Sawalha, Layan; Alradhi, Mohammad (2023)

  In this paper, we investigated different approaches, a neural network speech synthesis system and a non-autoregressive text-to-speech (TTS) model. In the neural network speech synthesis, we showed how a baseline system ...

• Is Dynamic Time Warping of speech signals suitable for articulatory signal comparison using ultrasound tongue images? 

  Csapó, Tamás Gábor (2023)

  In speech technology, the examination of speaker dependency is vital - that is, whether methods developed for one speaker can be adapted to another speaker or not. In the case of text-to-speech synthesis, well-usable speaker ...

• A Comparison of Data Augmentation Methods on Ultrasound Tongue Images for Articulatory- to-Acoustic Mapping towards Silent Speech Interfaces 

  Ibrahimov, Ibrahim; Gosztolya, Gábor; Csapó, Tamás Gábor (2023)

  Silent Speech Interfaces (SSI), being a subfield of speech technology, break the limitations of automatic speech recognition when acoustic signals cannot be produced or clearly captured. SSI focuses on the articulation ...

• Capacity Analysis of Partially Overlapping NOMA System with Two Users 

  Belső, Zoltán; Pap, László (2023)

  In recent years the Internet of Things and other massive machine-type communication applications demand increased spectral efficiency for future radio multiple access schemes. One of the key enabling technologies is power ...

• Towards realistic simulation of MEC-based Collective Perception: an initial edge service design for the Artery/Simu5G framework 

  Kovács, Gergely; Bokor, László (2023)

  Day 2 V2X applications are the next step in vehicular communications, as they aim to extend the scope of shared information. In addition to status data, traffic participants are also aware of each other's sensory capabilities ...

• Measurement of per unit length parameters of the satellite power bus 

  Qiao, Viktor; Nagy, Lajos (2023)

  The application of powerline communication (PLC) on board a satellite is a promising idea that has seen interest from researchers in recent years. By merging the power distribution and the on-board communication networks ...

• A Global Sensitivity Analysis Study with More Parameters in Undermoded Reverberation Chambers 

  Kenderes, Anett; Gyimóthy, Szabolcs; Benkő, Péter Tamás (2023)

  An improved global sensitivity analysis (SA) study by means of Sobol’ indices was performed in this work to investigate the influence of measurement uncertainties on an adequately chosen quantity, which describes the field ...

• A Data Driven Approach for Target Classification Based on Histogram Representation of Radar Cross Section 

  Coşkun, Aysu; Bilicz, Sándor (2023)

  A new approach for classifying targets based on their radar cross section (RCS) is discussed. The RCS presents unique statistical features depending on the target’s shape, while an incident angle with small random fluctuation ...

• Anomaly Detection using combination of Autoencoder and Isolation Forest 

  Almansoori, Mahmood; Telek, Miklós (2023)

  The process of identifying abnormal objects or patterns that deviate from the typical behavior in a dataset or other observations is known as Anomaly Detection. It is an essential technique in many fields, such as cyber ...

• Supporting Adaptive Coding and Modulation Techniques for Satellite Radio Channel 

  Makara, Árpád László; Csurgai-Horváth, László (2023)

  For satellite-Earth communications, higher frequency bands, especially with millimeter wavelength frequencies are very sensitive to precipitation and other atmospheric changes. The time variation of these effects is extremely ...

• Real-time Hand Gesture Pattern Recognition and Device Control through Inbuilt Webcam 

  Zargar, Hisham; Shah, Laraiba (2023)

  Home automation technique is used to design and implement a remotely controlled, energy efficient and highly scalable Smart Home with basic features that safeguard the resident’s comfort and security. Controlling electric ...

• AI-Assisted Drone Localization of Arbitrary Objects using Aruco Markers 

  Czurkó, Dániel; Fehér, Gábor (2023)

  This conference paper presents a novel approach for localizing arbitrary objects using drones and AI assisted image processing. The system utilizes aruco markers, which are small square markers that are easily identifiable ...

• Selecting Diverse Images from Vehicle Camera using Unsupervised Learning 

  Englert, Bruno Bence; Zainkó, Csaba (2023)

  This paper presents a method to select a diverse subset of images from vehicle camera using unsupervised learning. The proposed approach addresses the costly process of manual data labeling by creating a subset of the most ...

• Optikai-mikrohullámú szűrés fénytávközlő rendszerek intenzitászajának csökkentésére 

  Csörnyei, Márk; Berceli, Tibor (2005)

  Elsôsorban rövidtávú üvegszálas összeköttetések, így helyi, városi hálózatok, valamint optikai-mobil rendszerek esetén alézerdiódák relatív intenzitászaja (RIN) az átvitel legjelentôsebb zajforrása. A következôkben az ...

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