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1.
Computer Applications in Engineering Education ; 2022.
Article in English | Scopus | ID: covidwho-1825891

ABSTRACT

Today, microcontrollers are of paramount importance in various aspects of life. They are used for design in many industrial fields from simple to highly complex devices. With a COVID-19 crisis going on, blending learning is the ideal solution for a post-pandemic society. This paper proposes a blended learning system as a solution to address today's problem in teaching microcontroller courses through collaboration between distance learning with the proposed training toolkit for real work. Implementation of the proposed solution began by constructing an inexpensive training kit (100$), to empower all students, even those in remote rural areas. The distance learning model allows the simulation of the proposed IoT projects electronically anywhere and at any time using the Proteus design suite, which helps students to conduct them before the actual laboratory appointment. Two learning models are programmed in assembly language which is directly related to the internal architecture of the microcontroller and provides access to all the real capabilities of its central processing unit. To get acquainted with all the features offered by the microcontroller integrated circuit, various IoT projects were constructed, each one dedicated to learning its architecture features, important to engineering students. The proposed IoT systems operate with a minimum consuming power that is very important for portable devices. Questionnaire questions for students were formulated to measure the proposed system benefit over three academic years. © 2022 Wiley Periodicals LLC.

2.
Journal of Engineering Design and Technology ; ahead-of-print(ahead-of-print):13, 2021.
Article in English | Web of Science | ID: covidwho-1393599

ABSTRACT

Purpose This paper aims to electronic caring the health of many kinds of patients. Design/methodology/approach The paper opted for designing IoT health-care system bracelet used photon as controller collect with five sensors. And second using raspberry 3 B+ collect with ECG, ECG and camera. Thinkspeak cloud was used for plotting data and communicate with doctor by bylnk mobile application. Findings The paper provides a real data for six-Covid-19 patient in 22 days. Originality/value Design an IoT system that send daily information to doctor if a patient needs to visit him/her or monthly reported to the hospital. Send patient's vital signs to doctor as curves for fast noting any problems. The proposed system can be operate on two states (special, if need to periodically monitor or normal only when any trouble occurs), It was covered the two Covid-19 patient cases simple and critical by real testing these two systems on six Covid-19 patients. The two collections were succeeded in monitoring simple and critical Covid-19 cases.

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