0% Complete
صفحه اصلی
/
سی امین کنفرانس بین المللی مهندسی برق
Enhancing the Incident Angle Band in Carpet Cloaking using Deep Neural Networks
نویسندگان :
Amirhossein Fallah
1
Leila Yousefi
2
Ahmad Kalhor
3
1- دانشگاه تهران
2- دانشگاه تهران
3- دانشگاه تهران
کلمات کلیدی :
carpet cloaking،metasurfaces،deep neural networks،evolutionary algorithms
چکیده :
Metasurface-based carpet cloaks although are very thin and have a good performance, are very sensitive to the incident angles and work only for a very narrow range of incident angles. In this paper, we have addressed this issue using PSO algorithm in combination with a deep neural network. A passive single-layer metasurface capable of making objects under it invisible for a wide range of incident angles, 0 to 70 degrees, is designed and optimized using PSO algorithm in combination with a deep neural network. The cloak has been designed and evaluated using full-wave numerical simulations, and the results show a good performance in the mentioned incident angle band.
لیست مقالات
لیست مقالات بایگانی شده
A Novel Step-up Converter Based on Active Network and Coupled-Inductor Technique with Soft Switching Operation
Mohammadreza Zeynalhosseyni - Reza Beiranvand
Design of a Three-Stage OTA with Wide Capacitive Load Range Using Dual-Path and Q-Factor Compensation
Mohammadreza Abedi Orang
Temporary Goal Method: A Solution for the Problem of Getting Stuck in Motion Planning Algorithms
Danial Khan mohamad zade - Samaneh Hosseini Semnani
Spotting of a Particular Printed Word in Farsi Handwritten Forms Using Deep Learning
Mohammad jafar Gholami Kenari - Ehsanollah Kabir
Design and Application of a Five-Level Cross-Switched Inverter in Low-Voltage Distribution System Voltage Compensation
Mohammad Farhadi-kangarlu - Yousef Neyshabouri - Asra Sotudeh
تخمین کانال متغیربازمان در سیستمهای MIMO – موجمیلیمتری چندکاربره
زهرا معروفی - امیرحسین مولازاده - مهرداد اردبیلیپور
CatBoost Classifier For DDoS Detection In SDN Using Ryu Controller
Yazdan etdali Mohamadreza Noorifard
Modeling of a low-noise amplifier with a recurrent neural network
Mostafa Noohi - Fatemeh Charoosaei - Ali Mirvakili - Sayed Alireza Sadrossadat
بهبود تخمین موقعیت هواپیما به کمک تشخیص موقعیتهای پرت در دادههای ADS-B ترافیک هوایی
سید سجاد حسینی رستمی - میترا میرزارضایی - بابک نجار اعرابی
Direct model reference adaptive control for depth of hypnosis in anesthesia
Raha Rahimi - Farzaneh Shayegh - Marzieh Kamali
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 43.6.0
