Search

In today's world of COVID infection, heart monitoring should be done to Quarantine patients at home from time to time on daily basis either by an attendee or a nurse. It is becoming increasingly tedious for people to be at home to take care of their loved ones, as their jobs don't permit them to do so and also due to the infection spread. To tackle this issue, we present the concept of a heart monitoring device with line follower robot navigation. This setup is used to check elderly and bed-ridden patients automatically at a pre-defined time with the help of an Arduino controller. Also in this work, we bring forth a novel method to improve the accurateness in predicting the heart condition using machine learning procedures. The prediction model is built using a variety of feature combinations and classification approaches. The datasets are processed using Python programming and two core Machine Learning Algorithms, namely the Random Forest Algorithm and the Gradient Boosting Tree Algorithm, which reveals that the Random Forest Algorithm is the best algorithm among these two in terms of heart disease exactness. [ABSTRACT FROM AUTHOR]

5G systems are designed to provide connectivity for anyone at any time and from any location. The 5G communication systems are expected to be in practice in 2021. Several new technologies, like multiple-input multiple-output, high-speed train, vehicle-to-vehicle, and millimeter-wave communications are researched for 5G systems. Many research projects going under the usage enabling of 5g tech to a high-speed train. High-speed trains (HSTs) have recently emerged as an emerging fast-moving transportation system and also increased HST passengers' desire for broadband services, presenting significant difficulties to HST wireless communication systems. However, offering continuous internet for broadband passengers onboard trains at high speeds and across long rural distances remains a challenge. Here we are going to discuss enabling 5G to a high-speed train. This article initially offers a comprehensive review of 5G measurements and modeling techniques followed by a discussion and comparison of recent developments in HST models. Finally, the important challenges of an HST model are to measure parameters, and existing model papers are tabulated along with the future requirements that are outlined. [ABSTRACT FROM AUTHOR]

Unmanned aerial vehicle (UAV) communications provide adaptive planning, improved consistency, and increased capacity over a considerably greater range, and organize a significant chunk of the space to air to ground coordinates. In this research, we analyze a millimeter wave (mm Wave) communication system in which the UAV serves as an aerial base station (BS) with a high number of receiving antenna, and we propose a channel tracking strategy based on an underutilized flight control system. A 3-dimensional (3D) geometry channel display is defined as a arrangement of UAV development state data and channel pick up data, with the former coming from the flight control state's sensors and the latter from the pilot transmission. Then, utilizing MIMU, data is transmitted between the UAV and the flight control system. [ABSTRACT FROM AUTHOR]