Yazar "Tarı, Özlem" için listeleme
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3D EM data driven surrogate based design optimization of traveling wave antennas for beam scanning in X-band: an application example
Belen, Aysu; Güneş, Filiz; Palandöken, Merih; Tarı, Özlem; Belen, Mehmet Ali; Mahouti, Peyman (Springer, 2022)In this paper, design and optimization of a microstrip elliptic traveling wave antenna (TWA) are presented for the beam scanning in X-band as an application of 3D data driven surrogate based design optimization technique. ... -
Data-Driven Surrogate-Assisted Optimization of Metamaterial-Based Filtenna Using Deep Learning
Mahouti, Peyman; Belen, Aysu; Tarı, Özlem; Belen, Mehmet Ali; Karahan, Serdal; Koziel, Slawomir (MDPI, 2023)In this work, a computationally efficient method based on data-driven surrogate models is proposed for the design optimization procedure of a Frequency Selective Surface (FSS)-based filtering antenna (Filtenna). A Filtenna ... -
Design and Realization of Broadband Active Inductor Based Band Pass Filter
Belen, Aysu; Belen, Mehmet Ali; Palandöken, Merih; Mahouti, Peyman; Tarı, Özlem (Wiley, 2023)With the latest developments in the wireless communication systems, the alternative design methodologies are required for the broadband design of microwave components. In this paper, a compact broad band pass filter (BPF) ... -
Gain Enhancement of a Traditional Horn Antenna using 3D Printed Square-Shaped Multi-layer Dielectric Lens for X-band Applications
Belen, Aysu; Mahouti, Peyman; Güneş, Filiz; Tarı, Özlem (Applied Computational Electromagnetics Society Journal, 2021)In this work, gain of a traditional horn antenna is enhanced up to 2.9 dB over X-band using 3D printed square-shaped multi-layer lens. For this purpose, firstly the multi-layer lenses are designed using Invasive Weed ... -
Surrogate Based Design Optimization of Multi-Band Antenna
Tarı, Özlem; Belen, Aysu; Mahouti, Peyman; Belen, Mehmet Ali (Institute of Electrical and Electronics Engineers Inc., 2021)In this work, design optimization process of a multi-band antenna via the use of Artificial Neural Network (ANN) based surrogate model and meta-heuristic optimizers is studied. For this mean firstly, by using Latin-Hyper ...
