Yazar "Tabakcioglu, Mehmet Baris" seçeneğine göre listele

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    Coverage Area Estimation Based on Convolutional Neural Networks
    (Ieee, 2024) Erba, Ugur; Bekiryazici, Tahir; Aydemir, Gurkan; Tabakcioglu, Mehmet Baris
    In wireless communication systems, one of the most crucial problems is to solve the problem where to deploy the transmitter. It is essential to determine the coverage area before installing the transmitter. In simulation programs, coverage areas are calculated using ray tracing techniques and numerical integral-based wave propagation models, and positioning is done accordingly. However, when dealing with a large area and obstacles between the transmitter and receiver, the computational load significantly increases. Considering the inadequacy of traditional methods in complex urban environments and rapidly changing conditions, the integration of deep learning techniques is aimed at providing a more accurate and flexible solution. In this context, deep learning models Convolutional Neural Networks (CNNs) based, particularly, are highlighted as a potential solution for base station positioning. Among the advantages of CNNs is their ability to adapt more quickly to complex environmental variables. The developed CNN-based model has shown promising results in coverage area estimation and has the potential to enhance the performance of wireless communication networks. This study aims to contribute to the future reliability, speed, and effectiveness of wireless communication networks.
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    Electromagnetic Shielding Effectiveness and Impact Test Performance of Carbon Fiber Reinforced Polymer Composites with Hematite and Goethite
    (John Wiley and Sons Inc, 2024) Eken, Taha Yasin; Kaykilarli, Cantekin; Kucukelyas, Burak; Tabakcioglu, Mehmet Baris
    Carbon fibers (CFs) are versatile materials widely employed in carbon fiber-reinforced polymer (CFRP) composites, known for their superior mechanical properties and electromagnetic interference (EMI) shielding capabilities. This study focuses on the successful production of 2-layer CFRP composites reinforced with hematite (Fe2O3) particles, in two different sizes (?44 µm (325 mesh) and 50 nm), and goethite (FeO(OH)), utilizing the hand lay-up method. The investigation encompasses EMI shielding effectiveness (SE) within a frequency range of 700 to 6000 MHz, and the drop-impact strength resistance properties (under a 6 J load). Results indicate that the highest EMI SE value, 60.19 dB at 5900 MHz, is achieved with 5 wt.% goethite reinforcements, while with a reduction in drop-impact strength. For hematite-reinforced composites, the highest EMI SE, measuring 57.85 dB at 5800 MHz, is observed for samples containing 15 wt.% hematite particles with a size of 50 nm, which exhibited an overall improvement in impact strength compared to non-reinforced samples. This research highlights the potential of these CFRP composites for EMI shielding applications, with considerations for their impact on mechanical properties, providing valuable insights for applications demanding both EMI protection and structural integrity. © 2023 The Authors. Macromolecular Materials and Engineering published by Wiley-VCH GmbH.
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    Electromagnetic shielding effectiveness performance of carbon fiber reinforced polymer (CFRP) composites with hematite and goethite in far-field
    (Pamukkale Univ, 2024) Erbas, Ugur; Kaykilarli, Cantekin; Eken, Taha Yasin; Kucukelyas, Burak; Tabakcioglu, Mehmet Baris
    Carbon fibers (CFs) are indispensable materials in our daily life. The excellent bearing capacity, remarkable dielectric property, ease of production, and corrosion resistance of CFRP composites distinguish them from all other options in addition to them, CFRPs may also shield from electromagnetic interference (EMI). In this study, two-layer CF reinforced epoxy composites reinforced with two different hematite (alpha- Fe2O3) and goethite (FeO(OH)) particle sizes of 50 nm and 45 mu m (325 mesh) were produced using the manual lay-up method. Then, far field electromagnetic shielding effectiveness (SE) with 700 MHz- 6000 MHz range were examined. The maximum shielding effectiveness was determined to be at 5200 MHz with 39.28 dB for 5 wt.% FeO(OH), at 4700 MHz with 38.38 dB for 10 wt.% Fe2O3(325 mesh), at 3800 MHz with 37.15 dB for 15 wt.% Fe2O3(50 nm).
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    Estimation of the coverage area with ResNet-based Conditional Variational Autoencoder
    (Ieee, 2025) Erbas, Ugur; Avci, Adem; Tabakcioglu, Mehmet Baris
    The rapid expansion of wireless communication networks, especially with 5G, has made the accurate and fast determination of base station locations critical. With the increase in network traffic and the number of users, it has become important to optimize the network infrastructure. This process is complex, taking into account technical and environmental factors. The study investigates machine learning (ML) and deep learning (DL) techniques to optimize base station placement, emphasizing that traditional methods require manual calculations and field measurements, whereas ML and DL-based approaches are more efficient and faster. Furthermore, a ResNet-based Conditional Variational Autocoder (ResNet-CVO) model for coverage map estimation is proposed and its performance is evaluated. With the proposed generative model, a more efficient approach for coverage map estimation is presented.
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    Generation of 3D Coverage Map
    (Ieee, 2022) Erbas, Ugur; Tabakcioglu, Mehmet Baris
    With the developing communication technology in recent years, the importance of placing the base stations in the right location has increased in order to ensure a healthy communication. It is thought that this situation will become even more important with 5G technology. In this study, 2D maps with earth maps and transformation windows were created in MATLAB using 3D digital data. The diffracted, direct and reflected rays were determined, and the ray tracing algorithm was run for the superconducting surface. A 3D coverage area is mapped for a possible transmitter position. Electric field graphs are drawn for different heights. It has been observed that the electric field graph changes depending on the landforms, distance, diffraction and interference of the rays.
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    High entropy alloy reinforcement for superior electromagnetic interference shielding performance in carbon fiber-reinforced polymer composites
    (Wiley, 2025) Kucukelyas, Burak; Kaykilarli, Cantekin; Eken, Taha Yasin; Erbas, Ugur; Tabakcioglu, Mehmet Baris
    This study explores the enhancement of electromagnetic interference (EMI) shielding effectiveness (SE) in carbon fiber-reinforced polymer (CFRP) composites through the integration of equatomic CoCuFeNi high entropy alloy (HEA) particles. Employing mechanical alloying (MA), CoCuFeNi HEA powders were synthesized, revealing a face-centered cubic structure with crystallite and particle sizes of 14.7 nm and 11.62 mu m, respectively. The integration of these HEA particles at concentrations of 5%, 10%, and 15% by weight into epoxy resin, followed by the fabrication of composites using the hand lay-up technique. Detailed structural analysis of HEA particles confirmed the successful synthesis of equatomic HEAs via MA. Structural analysis of the HEA integrated composites revealed vacancy regions at 5% concentration, a uniform distribution at 10%, and particle agglomeration causing inhomogeneity and vacancies at 15%. The composites demonstrated significant improvements in EMI SE, with the 10% HEA sample showing superior performance compared to the other samples. Specifically, the 10% HEA composite achieved a peak SE of 73.09 dB at 4.72 GHz, attributed to the optimized distribution of HEA particles that enhanced electrical conductivity and reflective properties.Highlights CoCuFeNi HEA particles were successfully synthesized via MA. HEA particles were added to epoxy at 5, 10, and 15 wt% for composite fabrication. Voids were observed in HEA5, uniformity in HEA10, and clustering in HEA15. EMI shielding was assessed using VNA, SE, dielectric permittivity, and magnetic permeability. The HEA10 composite achieved peak EMI shielding, 73.09 dB at 4.72 GHz.
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    Mapping of a specific area with an autonomous vehicle
    (Institute of Electrical and Electronics Engineers Inc., 2024) Besinci, Enes; Tabakcioglu, Mehmet Baris
    The subject of this study is the SLAM (Simultaneous Localization And Mapping) robot, which can move autonomously and reach determined targets by avoiding obstacles. Ubuntu 24.04.6 operating system and ROS (Robot Operating System) Noetic distribution were used on Raspberry Pi. The software required for the robot to perform its basic functions has been developed on the ROS framework. ROS enables the robot to collect sensor data, process this data, and send commands to the motors. SLAM algorithms were used for mapping and positioning. A 2D map of the environment was generated using lidar data with the Gmapping algorithm, and the location of the robot was visualized precisely with AMCL (Adaptive Monte Carlo Localization). In order for the robot to avoid obstacles, obstacles were detected using lidar data and appropriate commands were sent to the motors. Additionally, the rotation speed and orientation of the robot were determined with the MPU6050 IMU (Inertial Measurement Unit) sensor. To ensure that the robot reaches the determined targets, goal setting and reaching capabilities have been improved by using 2D nav goal. The ROS Move Base package implemented the motion planning and control of the robot. © 2024 IEEE.