Electrical and Computer Engineering Program

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Now showing 1 - 5 of 6062
  • Article

    Analysis and control of split-source current-type inverter for grid-connected applications

    (Elsevier BV, 2024-04-12) Abdel-Moneim, Mohamed G.; Hamad, Mostafa S.; Abdel-Khalik, Ayman S.; Hamdy, Ragi R.; Hamdan, Eman; Ahmed, Shehab; Electrical and Computer Engineering; Electrical and Computer Engineering Program; Ali I. Al-Naimi Petroleum Engineering Research Center; Ali I. Al-Naimi Petroleum Engineering Research Center (ANPERC); Computer, Electrical and Mathematical Sciences and Engineering; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division; Department of Electrical Engineering, Alexandria University, Alexandria 21544, Egypt; Research and Development Center, Arab Academy for Science, Technology and Maritime Transport, Al Alamein 5060305, Egypt; Department of Marine Engineering Technology, Arab Academy for Science, Technology and Maritime Transport, Alexandria 1029, Egypt

    Current source inverters (CSIs) have been widely used for renewable energy sources integration with the utility grid. However, traditional CSIs provide only voltage-boost power conversion, which can be considered a limitation for grid-interfacing applications when consistent tracking of a widely varying input voltage is necessary. Hence, an additional front-end converter is usually utilized in an attempt to step down the input source voltage. Nevertheless, adding the dc-dc bucking stage would reduce the system reliability and its overall efficiency, increase the converter cost, and complicate the control scheme. In order to address the aforementioned shortcomings, this paper proposes a novel three-phase single-stage inverter, suitable for low-power applications, called split-source current-type inverter (SSCTI). The proposed converter can achieve high current boosting capability with lower component count and high-quality output current in comparison with other single-stage topologies. In addition, it utilizes the conventional modulation scheme of the CSI, while maintaining low current stresses on the inverter switches. Comprehensive analysis, modelling, and closed-loop control scheme of the proposed converter are developed. Also, a comparison between the proposed topology and several single-stage topologies is carried out. Moreover, an experimental prototype is built to validate the proposed converter analysis under steady-state operation and different transient scenarios.

  • Preprint

    SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap

    (arXiv, 2024-04-17) Somers, Vladimir; Joos, Victor; Cioppa, Anthony; Giancola, Silvio; Ghasemzadeh, Seyed Abolfazl; Magera, Floriane; Standaert, Baptiste; Mansourian, Amir Mohammad; Zhou, Xin; Kasaei, Shohreh; Ghanem, Bernard; Alahi, Alexandre; Droogenbroeck, Marc Van; Vleeschouwer, Christophe De; Visual Computing Center (VCC); Computer, Electrical and Mathematical Sciences and Engineering; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division; Electrical and Computer Engineering; Electrical and Computer Engineering Program; UCLouvain; EPFL; Sportradar; University of Liege; EVS; SUT; Baidu Research

    Tracking and identifying athletes on the pitch holds a central role in collecting essential insights from the game, such as estimating the total distance covered by players or understanding team tactics. This tracking and identification process is crucial for reconstructing the game state, defined by the athletes' positions and identities on a 2D top-view of the pitch, (i.e. a minimap). However, reconstructing the game state from videos captured by a single camera is challenging. It requires understanding the position of the athletes and the viewpoint of the camera to localize and identify players within the field. In this work, we formalize the task of Game State Reconstruction and introduce SoccerNet-GSR, a novel Game State Reconstruction dataset focusing on football videos. SoccerNet-GSR is composed of 200 video sequences of 30 seconds, annotated with 9.37 million line points for pitch localization and camera calibration, as well as over 2.36 million athlete positions on the pitch with their respective role, team, and jersey number. Furthermore, we introduce GS-HOTA, a novel metric to evaluate game state reconstruction methods. Finally, we propose and release an end-to-end baseline for game state reconstruction, bootstrapping the research on this task. Our experiments show that GSR is a challenging novel task, which opens the field for future research. Our dataset and codebase are publicly available at https://github.com/SoccerNet/sn-gamestate.

  • Article

    Analysis and control of split-source current-type inverter for grid-connected applications

    (Elsevier BV, 2024-04-12) Abdel-Moneim, Mohamed G.; Hamad, Mostafa S.; Abdel-Khalik, Ayman S.; Hamdy, Ragi R.; Hamdan, Eman; Ahmed, Shehab; Electrical and Computer Engineering; Electrical and Computer Engineering Program; Ali I. Al-Naimi Petroleum Engineering Research Center; Ali I. Al-Naimi Petroleum Engineering Research Center (ANPERC); Computer, Electrical and Mathematical Sciences and Engineering; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division; Department of Electrical Engineering, Alexandria University, Alexandria 21544, Egypt; Research and Development Center, Arab Academy for Science, Technology and Maritime Transport, Al Alamein 5060305, Egypt; Department of Marine Engineering Technology, Arab Academy for Science, Technology and Maritime Transport, Alexandria 1029, Egypt

    Current source inverters (CSIs) have been widely used for renewable energy sources integration with the utility grid. However, traditional CSIs provide only voltage-boost power conversion, which can be considered a limitation for grid-interfacing applications when consistent tracking of a widely varying input voltage is necessary. Hence, an additional front-end converter is usually utilized in an attempt to step down the input source voltage. Nevertheless, adding the dc-dc bucking stage would reduce the system reliability and its overall efficiency, increase the converter cost, and complicate the control scheme. In order to address the aforementioned shortcomings, this paper proposes a novel three-phase single-stage inverter, suitable for low-power applications, called split-source current-type inverter (SSCTI). The proposed converter can achieve high current boosting capability with lower component count and high-quality output current in comparison with other single-stage topologies. In addition, it utilizes the conventional modulation scheme of the CSI, while maintaining low current stresses on the inverter switches. Comprehensive analysis, modelling, and closed-loop control scheme of the proposed converter are developed. Also, a comparison between the proposed topology and several single-stage topologies is carried out. Moreover, an experimental prototype is built to validate the proposed converter analysis under steady-state operation and different transient scenarios.

  • Article

    Unveiling Passive and Active EMF Exposure in Large-Scale Cellular Networks

    (Institute of Electrical and Electronics Engineers (IEEE), 2024) Qin, Yujie; Kishk, Mustafa A.; Elzanaty, Ahmed; Chiaraviglio, Luca; Alouini, Mohamed-Slim; Electrical and Computer Engineering; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division; Maynooth University, Maynooth, Ireland; University of Surrey, Guildford, United Kingdom; Universita degli Studi di Roma Tor Vergata, Rome, Italy

    The fifth-generation of cellular networks (5G) has been designed to guarantee low delays and high throughput, accommodate high user density, meet the goal of wide coverage, and connect the unconnected regions [1], [2]. In fact, the number of mobile users has increased from 3.6 billion to 5.2 billion from 2014 to 2020 [3]. Despite much research effort and advanced communication techniques that have been accomplished to design rate and energy-efficient networks, developing networks with reduced electromagnetic field (EMF) exposure is still an open problem that concerns the public [4]

  • Article

    Deep-learning empowered unique and rapid optimization of meta-absorbers for solar thermophotovoltaics

    (Optica Publishing Group, 2024-03-22) Noureen, Sadia; Ijaz, Sumbel; Javed, Isma; Cabrera, Humberto; Zennaro, Marco; Zubair, Muhammad; Mehmood, Muhammad Qasim; Massoud, Yehia Mahmoud; Electrical and Computer Engineering; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division; Department of Electrical Engineering, Information Technology University of the Punjab (ITU), 54000 Lahore, Pakistan; MLAB, Science, Technology and Innovation Unit, The Abdus Salam International Centre for Theoretical Physics, 34151 Trieste, Italy; Science, Technology and Innovation Unit, The Abdus Salam International Centre for Theoretical Physics, 34151 Trieste, Italy

    Optical nano-structure designs usually employ computationally expensive and timeintensive electromagnetic (EM) simulations that call for resorting to modern-day data-oriented methods, making design robust and quicker. A unique dataset and hybrid image processing model combining a CNN with gated recurrent units is presented to foresee the EM absorption response of photonic nano-structures. An inverse model is also discussed to predict the optimum geometry and dimensions of meta-absorbers. Mean-squared error of the order of 10-3 and an accuracy of 99% is achieved for trained models, and the average prediction time for the DL models is around 98% faster than that of simulations. This idea strengthens the proposition that efficient DL-based solutions can substitute the traditional methods for designing nano-optical structures.