Automated Antenna Design Using Normalized Steady State Genetic Algorithm

2008 ◽  
Author(s):  
Zhenhua Cai ◽  
Sanyou Zeng ◽  
Yang Yang ◽  
Lishan Kang
Keyword(s):  
Genetic Algorithm ◽  
Steady State ◽  
Antenna Design ◽  
Automated Antenna Design

Feature selection for classification in Steady state visually evoked potentials (SSVEP)-based brain-computer interfaces with genetic algorithm

2020 ◽  
Vol 16 (2) ◽  
Author(s):  
Stanisław Karkosz ◽  
Marcin Jukiewicz
Keyword(s):  
Genetic Algorithm ◽  
Feature Selection ◽  
Steady State ◽  
Brain Computer Interface ◽  
Morphological Features ◽  
Computer Interface ◽  
Visually Evoked Potentials ◽  
Computer Interfaces ◽  
Subject Variability ◽  
Selection For

AbstractObjectivesOptimization of Brain-Computer Interface by detecting the minimal number of morphological features of signal that maximize accuracy.MethodsSystem of signal processing and morphological features extractor was designed, then the genetic algorithm was used to select such characteristics that maximize the accuracy of the signal’s frequency recognition in offline Brain-Computer Interface (BCI).ResultsThe designed system provides higher accuracy results than a previously developed system that uses the same preprocessing methods, however, different results were achieved for various subjects.ConclusionsIt is possible to enhance the previously developed BCI by combining it with morphological features extraction, however, it’s performance is dependent on subject variability.

Image reconstruction for a partially immersed perfectly conducting cylinder using the steady state genetic algorithm

Radio Science ◽  
2004 ◽  
Vol 39 (2) ◽  
pp. n/a-n/a ◽  
Author(s):  
Ching-Lieh Li ◽  
Shao-Hon Chen ◽  
Chih-Ming Yang ◽  
Chien-Ching Chiu
Keyword(s):  
Genetic Algorithm ◽  
Steady State ◽  
Image Reconstruction ◽  
Conducting Cylinder

Optimum Selection of Hydraulic Devices for Water Hammer Control in the Pipeline Systems Using Genetic Algorithm

2003 ◽  
Author(s):  
Bong Seong Jung ◽  
Bryan W. Karney
Keyword(s):  
Genetic Algorithm ◽  
Steady State ◽  
Optimization Problems ◽  
System Optimization ◽  
Water Hammer ◽  
Pipeline System ◽  
Optimal Size ◽  
Protection Strategy ◽  
Hydraulic Devices ◽  
Selection Of

Genetic algorithms have been used to solve many water distribution system optimization problems, but have generally been limited to steady state or quasi-steady state optimization. However, transient events within pipe system are inevitable and the effect of water hammer should not be overlooked. The purpose of this paper is to optimize the selection, sizing and placement of hydraulic devices in a pipeline system considering its transient response. A global optimal solution using genetic algorithm suggests optimal size, location and number of hydraulic devices to cope with water hammer. This study shows that the integration of a genetic algorithm code with a transient simulator can improve both the design and the response of a pipe network. This study also shows that the selection of optimum protection strategy is an integrated problem, involving consideration of loading condition, device and system characteristics, and protection strategy. Simpler transient control systems are often found to outperform more complex ones.

Multi-frequency patch antenna design via the method of moment and genetic algorithm

2002 ◽  
Vol 35 (3) ◽  
pp. 184-186 ◽  
Author(s):  
Filiberto Bilotti ◽  
Francesco Castellana ◽  
Lucio Vegni
Keyword(s):  
Genetic Algorithm ◽  
Patch Antenna ◽  
Antenna Design ◽  
Method Of Moment

Multi-factor product authentication using integrated Quick Response (QR) code pixelated antenna

2017 ◽  
Vol 2017 (1) ◽  
pp. 000608-000612
Author(s):  
John Doroshewitz ◽  
Amanpreet Kaur ◽  
Jeffrey Nanzer ◽  
Premjeet Chahal
Keyword(s):  
Genetic Algorithm ◽  
Radio Frequency ◽  
Design Process ◽  
Patch Antenna ◽  
Microstrip Patch Antenna ◽  
Antenna Design ◽  
Qr Code ◽  
Quick Response ◽  
Microstrip Patch

Abstract A Quick Response (QR) Code style antenna is presented. Such an antenna can provide two-level authentication, both optically through the current QR technology, plus a radio frequency (RF) signature from microstrip patch antenna designed from the QR signature using copper patterning. The antenna is designed through the pixilation of a patch antenna where conductor is present in the dark regions of the optical QR code. The QR based antenna design has a unique frequency and radiation signature and can be used for RF authentication of products. The design process for the pixilation is presented as well as fabrication and measured results of a QR code antenna design. The possibility of using a Genetic Algorithm to create a “library” of acceptable antenna results in accordance with the QR data it represents is also discussed.

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