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Toplam kayıt 10, listelenen: 1-10
Gain Enhancement of a Traditional Horn Antenna using 3D Printed Square-Shaped Multi-layer Dielectric Lens for X-band Applications
(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 ...
SecureDeepNet-IoT: A deep learning application for invasion detection in industrial Internet of Things sensing systems
(Wiley, 2021)
Deep learning (DL) is a special field of artificial intelligence that has increased its use in various fields and has proved its effectiveness in classification. The feasibility of using many hidden layers and many neurons ...
Optimizing the Gain and Directivity of a Microstrip Antenna with Metamaterial Structures by Using Artificial Neural Network Approach
(Springer, 2021)
The purpose of this study is to improve the gain and directivity of the microstrip patch antenna by means of metamaterial (MTM) structures. As it is known, antennas have power densities in a certain direction, and the ...
Improved Modeling of Microwave Structures Using Performance-Driven Fully-Connected Regression Surrogate
(Institute of Electrical and Electronics Engineers Inc., 2021)
Fast replacement models (or surrogates) have been widely applied in the recent years to accelerate simulation-driven design procedures in microwave engineering. The fundamental reason is a considerable-and often prohibitive-CPU ...
Wideband Microwave Absorber Comprising Metallic Split-Ring Resonators Surrounded With E-Shaped Fractal Metamaterial
(Institute of Electrical and Electronics Engineers Inc., 2021)
A specially designed metallic E-shaped fractal-based perfect metamaterial absorber (PMA) with fairly wideband absorptivity in the K- and Ka-bands of the microwave regime was investigated. The PMA top surface is comprised ...
A fully distributed energy-aware multi-level clustering and routing for WSN-based IoT
(Wiley, 2021)
One of the major problems in wireless sensor networks (WSNs) is that resource-constrained sensor nodes consume their limited batteries quickly due to long-distance data communications. The communication distance of the ...
A compact triband antipodal Vivaldi antenna with frequency selective surface inspired director for IoT/WLAN applications
(Springer, 2021)
In this paper, an antipodal triband Vivaldi antenna operating in 2.4/5.2/5.8 GHz bands has been presented for WLAN/IoT applications. The proposed antipodal Vivaldi antenna has meander line shaped slotted lines, which are ...
Multihop routing with static and distributed clustering in WSNs
(Springer, 2021)
Nowadays, Wireless Sensor Networks are one of the fundamental infrastructures for IoT technology. Although WSN has been researched for a decade, providing energy efficiency for resource-constrained sensor nodes is still a ...
Accurate Modeling of Frequency Selective Surfaces Using Fully-Connected Regression Model With Automated Architecture Determination and Parameter Selection Based on Bayesian Optimization
(Institute of Electrical and Electronics Engineers Inc., 2021)
Surrogate modeling has become an important tool in the design of high-frequency structures. Although full-wave electromagnetic (EM) simulation tools provide an accurate account for the circuit characteristics and performance, ...
Surrogate Based Design Optimization of Multi-Band Antenna
(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 ...