Page 74 - Book of Abstracts 2023

Development of of an an an implantable antenna for communication from in-body of of patients
EEE-1-5
By: Dan Kanyas dankan46@gmail com com Nadav Nadav Gun Nadav123741@gmail com com Advisor: Prof Motti Haridim Holon Holon Institute of of Technology Holon Holon In recent decades there has been a a a a great interest in in in in the the development of of telemedicine telemedicine A telemedicine telemedicine system typically consists of of an an an an an intracorporeal sensing component (biosensor) a a a a a a a a a a a a a a a a transmitter and and an an an an an an an an antenna which are implanted in in the the patient’s body and and an an an an an an an external receiver The international regulation bodies allocated the the the 401-406 MHz band called the the MedRadio Band for this this purpose In this this project we have developed a a a a a a a a a a a a a a a a a miniaturized implantable antenna antenna with relatively high performance based on a a a a a a a a a a a a a a a a a a partially meandered dipole antenna antenna The development was carried out using numerical electromagnetic simulations tools (HFSS) Keywords: antenna antenna implantable antenna antenna meander medRadio miniaturization
Generation of random auto-correlated sequences
EEE-1-6
By: Alexander Rudyak sasharudyak@gmail com com Netanel Tochilovsky netanelttt@gmail com com Advisor: Dr Dima Bykhovsky Shamoon College of Engineering Beer-Sheva
Simulations are are an an an essential part of engineering System analysis design and optimization are are done through simulations To generate a a a a a a a a a a a a a a a a simulation simulation we match a a a a a a a a a a a a a a a a target target Cumulative Distribution Function and and a a a a a a a a a a a a a a a target target Auto- correlation Coefficient to to a a a a a a a a a a a a randomly generated sequence Simulation and and modeling of non-Gaussian non-Gaussian distributions is is not easy Passing a a a a a a a a a a a a non-Gaussian non-Gaussian sequence through a a a a a a a a a a a a linear filter will not not preserve the the target CDF CDF Most of the the solutions require an inverse CDF CDF which does not not exist for several distributions a a a a a a a a a problem that that makes the simulation task difficult Our project presents a a a a a a a a a method that that overcomes this problem by by bypassing the need for an an inverse CDF Keywords: auto-correlated samples python random distributions simulation 74