The Effect of Different Types of Climates on the Spread of COVID-19

Coronavirus disease of 2019 (COVID-19) is the third most common zoonotic disease caused by the coronavirusvirus, SARS in 2002, and Middle East Respiratory Syndrome (MERS) in 2012. The primary origin oftransmission of infection to humans is not well known. However, more prevalence of the disease is caused dueto human-to-human transmission. There are relatively few studies on the impact of climate change on COVID-19 disease in the world. Recognizing the behavioral features of the SARS-CoV-2 virus and its pathogenicity invarious climatic conditions can offer strategies for control measures, preventing the transmission of the disease,and minimizing the potential mortality risk of the virus, which provides a basis for more detailed studies indifferent climatic regions. This study aimed to evaluate the effect of different types of climate on the spread ofCOVID-19

Artificial neural network application for novel 3D printed nonuniform ceramic reflectarray antenna

The main inconvenience in design process of modern high performance reflec-tarray antennas is that these designs are heavily depended on full-wave electro-magnetic simulation tools, where in most of the cases the design optimizationprocess would be an inefficient or impractical. However, thanks to the recentadvances in computer-aided design and advanced hardware systems, artificialneural networks based modeling of microwave systems has become a popularresearch topic. Herein, design optimization of an alumina-based ceramic sub-strate reflectarray antenna by using multilayer perceptron (MLP) and 3D printingtechnology had been presented. MLP-based model of ceramic reflectarray (CRA)unit element is used as a fast, accurate, and reliable surrogated model for the pre-diction of reflection phase of the incoming EM wave on the CRA unit cell withrespect to the variation of unit elements design parameters, operation frequency,and substrate thickness. The structural design of a reflectarray antenna with non-uniform reflector height operating in Xband has been fabricated for the experi-mental measurement of reflectarray performance using 3D printer technology.The horn feeding based CRA antenna has a measured gain characteristic of22 dBi. The performance of the prototyped CRA antenna is compared with thecounterpart reflectarray antenna designs in the literature.Yildiz Technical University: 2015-07-02-YL0