ABSTRACT
In this work, we present a UHF-RFID-based noninvasive sensor to measure the concentration of ethanol in water using the volume fraction of liquids in mixture solutions. The sensing system operates at the UHF band (860-928 MHz). The concentration of ethanol in water affects the dielectric properties of the solution and therefore the antenna sensitivity of the RFID tag. This sensor operates by measuring the change in permittivity of a solution because of the change in concentration of ethanol in water. We propose a flexible RFID-Tag sensor a low-cost alternative to identify the possible sensitivity of tag changes and is able to detect a variation of 25% in ethanol in 9 ml of deionized water (DI-Water). The solution is useful in avoiding counterfeit ethanol solutions that may be toxic. The experimental setup is inexpensive, portable, quick, and contactless. We present results for ethanol solutions ranging from 25% to 100% in a small tube container. © 2022 IEEE.
ABSTRACT
The novel coronavirus SARS-COV-2 was discovered in November 2019, in China. On March, 2020, the WHO announced that COVID-19 could be characterised as a pandemic (WHO, 2020a). Then, it was rapidly spread from China to others countries. Coronavirus disease, COVID-19, is a viral infection that generates a severe acute respiratory syndrome with serious clinical symptoms given by such as fever, dry cough, and pneumonia (Kucharski et al., 2020). In addition, this virus is so widespread among people and it is difficult to control. To fight the rapid spread of new diseases like COVID-19, the support of technologies such as AI, big data, and IoT has proved to be very useful and provides better pandemic spread control tools. In this paper, we propose to leverage smart grid technology to detect COVID-19 cases clusters, to accelerate pandemic remote monitoring, and to predict probable virus future spread by collecting and analysing retrieved data. Copyright © 2021 Inderscience Enterprises Ltd.