Simulating the gravity in S11 parameters and friis transmission equation

TL;DR

This paper presents a simulation approach combining AI, CST, and Antenna Magus to optimize antenna design and detection capabilities, focusing on minimizing SAR and improving device detection through motion modeling and algorithms.

Contribution

It introduces a novel simulation framework integrating AI, CST, and Antenna Magus for antenna design optimization and device detection using motion models and nearest neighbor algorithms.

Findings

Successful simulation of antenna design with AI for SAR minimization

Enhanced device detection using optical flow and nearest neighbor algorithms

Improved antenna operation with periodic frequency vibration detection

Abstract

Antennas are taking design shapes by the orientation of its material and the final structural design they take. Irrespective of the shape, the function and efficiency they produce does not change and vary to much extent. We are trying to simulate a design of antenna which is using the artificial intelligence model to Specific absorption rate minimization. We have successfully used antenna magus and CST suite to produce our improved simulation results. Motion models such as optical flow is used to smartly detect communicating devices inorder to connect and link the devices. The algorithm used by us is closest neighbour algorithm which is connected with antenna to apply it in object detection of mobile devices and antennas. We are trying to have a six second break in which the antenna will operate at minimum frequency but at the same time operating in its functioning. After every six seconds the antenna will radiate its frequency of vibration to detect if there is any new object or mobile device in sight.