Performance Test of Micro-Slit Antenna Loaded with High Refractive Index Medium Based on Image Recognition

Author:

Yibo Wang1ORCID,Bo Yu1ORCID,Jinju Zhang1ORCID,Zengjie Tao1ORCID

Affiliation:

1. School of Electronic Science and Engineering, Hunan Institute of Information Technology, Changsha, Hunan 410138, China

Abstract

Image recognition is the pattern recognition of images. Simply put, it is the prescribed use of the pattern recognition technology in the image. It creates an image recognition template for the input of image information, analyzes and extracts the shape characteristics of the image, and then creates a classifier, relying on the shape of the image classified. However, since particles with high refractive index media can detect galvanic couples and magnetic dipoles together under the excitation of an external field, the interference of the radiation fields of galvanic couples and magnetic dipoles can be used to adjust the incident field. For the study of nanocubes with high refractive index media, the polarization phase of the nanocube particle environment is obtained by the method of long-distance propagation. The loaded micro-slit antenna is also a kind of aperture antenna, which is formed by opening a hole in the metal surface, and the hole will emit electromagnetic waves from the outside of the unit. Loaded micro-slit antennas have a variety of shapes, and they have many advantages such as sturdy structure, fast handling, convenient feeding, and being simple, compact, concealed, and decorative. Therefore, it is necessary to verify various performance parameters of the system by simulating performance tests and to verify the performance of the system by simulating various normal, high load, and abnormal load conditions. The performance test includes load and stress tests, and they can be used together. The purpose of load testing is to clarify the performance of the system under different tasks and to verify the changes in various system performance parameters as the load gradually increases.

Funder

Natural Science Foundation of Hunan Province

Publisher

Hindawi Limited

Subject

General Mathematics,General Medicine,General Neuroscience,General Computer Science

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