International Journal of Electrical and Computer Engineering Research <p>International Journal of Electrical and Computer Engineering Research (IJECER) is an academic journal that publishes research articles and review articles emerging from theoretical and experimental studies in all fields of electrical and computer engineering. IJECER is an open access, free publication and peer-reviewed journal. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or the author. In addition, there is no APC fee. In order for the articles submitted to the journal to be evaluated, they should not have been published elsewhere before and the similarity rate should be less than 20%. <br />The main aim of IJECER is to publish quality original scientific papers and bring together the latest research and development in various fields of science and technology related electrical and computer enginerring. IJECER is published quarterly a year, in March, June, September and December. Permanent links to published papers are maintained by using the Digital Object Identifier (DOI) system by CrossRef.</p> <p>The topics related to this journal include but are not limited to:</p> <table border="0" width="100%"> <tbody> <tr> <td>Electrical engineering<br />Computer engineering<br />Electronics engineering<br />Biomedical engineering<br />Mechatronics engineering<br />Electrical energy and power<br />Internet of things emerging technologies<br />Internet technologies, and smart devices<br />Computer science and information technology<br />Artificial intelligence and soft computing<br />Computational science and engineering<br />Big data and cloud computing<br />Signal, image and speech processing<br />Networking and the internet</td> <td>Pattern recognition<br />Renewable energy<br />Algorithms and applications<br />Green technologies in information<br />Circuits and electronics<br />Power electronics and drives<br />Wireless sensor network<br />Computer software engineering<br />Communications and wireless networks<br />Sensors and actuators<br />Computer vision and robotics<br />Embedded systems<br />Radar and sonar systems<br />Robotics</td> </tr> </tbody> </table> en-US (Yunus Uzun) (Yunus Uzun) Fri, 15 Dec 2023 22:40:35 +0300 OJS 60 Comparative Analysis for Radio Channel Propagation Models in the City of Tripoli/ Libya for 4G/LTE Networks <p style="font-weight: 400;">The accurate prediction of radio channel propagation is one of the most important factors for the design and optimization of wireless communication systems. Path loss is the key element to design appropriate propagation model. There are different propagation models used to predict path loss, however, inaccurate propagation model may result in unsatisfactory services for the Global System for Mobile communications (GSM) network. These include low data rates, high co-channel interference, and wasted received power.<br />This paper presents a comparative analysis of radio channel propagation models specifically for urban environment. The aim is to evaluate and compare the performance of various models and accurately predict path loss and signal behavior in urban settings. The research focuses on adapting the Okumura-Hata model which is used by the Libya Telecom and Technology Company (LTT) for Long Term Evolution (LTE) technology in the GSM Band. This study is based on real time measurements collected in downtown Tripoli in Libya. It suggests considering other models, such as Standard Propagation Model (SPM), Cost-231, and Ericsson. Using MATLAB for simulation, the findings indicate that SPM model is the best fit especially when distance is over ~22 Km.</p> Asma Abdurahman, Monera Salah, Khalid Aljledi, Maram Salah Alrezzagi Copyright (c) 2023 International Journal of Electrical and Computer Engineering Research Fri, 15 Dec 2023 00:00:00 +0300 Optimizing SSVEP-based BCI training through Adversarial Generative Neural Networks <p>Brain-computer interfaces (BCIs) based on steady-state visually evoked potential (SSVEP) use brain activity to control external devices, with applications ranging from assistive technologies to gaming. Typically, BCI systems are developed using supervised learning techniques that require labelled brain signals. However, acquiring these labelled signals can be tiring and time-consuming, especially for subjects with disabilities. In this study, we evaluated the performance impact of using synthetic brain signals to train and calibrate an SSVEP-based BCI system. Specifically, we used generative adversarial networks (GANs) to synthesize brain signals with SSVEP information, considering cases with two and four visual stimuli. Four scenarios with different proportions of real vs. synthetic brain signals were evaluated: Scenario 1 (baseline) using only real data and Scenarios 2-4 with 10%, 20% and 30% of real data replaced by synthetic data, respectively. Our results reveal that synthetic data can be used to train the BCI without a performance loss across the tested scenarios when two visual stimuli are used and with an average performance reduction compared to baseline of 7% (Scenario 2), 10,3% (Scenario 3) and 9,3% (Scenario 4) for four stimuli. Furthermore, considering each recording has duration of 2 seconds, by replacing 30% of real data with synthetic data, there is an immediate time-saving of 48 s and 96 s in the cases with two and four visual stimuli, respectively. This trade-off between accuracy and efficiency has significant implications for improving the usability and accessibility of SSVEP-based BCI, especially for assistive applications.</p> Guilherme Figueiredo, Sarah Negreiros Carvalho, Guilherme Vargas, Vitor Barbosa, Cecilia Peixoto, Harlei Leite Copyright (c) 2023 International Journal of Electrical and Computer Engineering Research Fri, 15 Dec 2023 00:00:00 +0300 Heat-Distribution Approximation of Cylindrical Wire Carrying an Alternating Current <p>This article presents a new approach for calculating the heat distribution of a cylindrical wire carrying an alternating current. It is an approximation method that uses the skin-depth factor to distribute the heat flow into two different directions. The main objective of this method is to develop a relatively simple heat equation to calculate the temperature in cylindrical wire without using Basel functions. First, a Fourier heat equation for direct current is shown and compared with 2D FEM simulation results. Then the approximation formula will be derived from the Fourier heat equation for the case of alternating current (AC). A 2D FEM simulation is also performed for this case to validate the results of the approximation formula. The results show that the approximation formula is very suitable for most applications.</p> Dimitri Delkov, J├╝rgen Ulm, Jan Geldner, Tobias Trella Copyright (c) 2023 International Journal of Electrical and Computer Engineering Research Fri, 15 Dec 2023 00:00:00 +0300