AHP-TOPSIS based handover algorithm with distance prediction for 5G networks

5G is growing globally, and the handover performance is needed to be updated and improved to adapt to new changes in telecommunication. 5G are considered small cell networks that are anticipated to have a short dwell time for users that move at high speed, like a vehicle traversing the 5G cell at a rate of 40km/h and above. It induces unnecessary handover that causes poor user experience and waste of network resources. This research tackles the problem by proposing a new handover algorithm that integrates a travel distance prediction method with AHP-TOPSIS (Analytic Hierarchy Process - Techniques for Order Preference by Similarity for an Ideal Solution) decision making. The proposed algorithm has successfully reduced the unnecessary handover in 5G networks up to 89.75% compared to the conventional TOPSIS method

Internet of things based real-time coronavirus 2019 disease patient health monitoring system

The coronavirus disease (COVID-19) outbreak has led to many infected worldwide and has become a global crisis. COVID-19 manifests in the form of shortness of breath, coughing and fever. More people are getting infected and healthcare systems worldwide are overwhelmed as healthcare workers become exhausted and infected. Thus, remote monitoring for COVID-19 patients is required. An internet of things (IoT) based real-time health monitoring system for COVID-19 patients was proposed. It features monitoring of five physiological parameters, namely electrocardiogram (ECG), heart rate (HR), respiratory rate (RR), oxygen saturation (SpO2) and body temperature. These vitals are processed by the main controller and transmitted to the cloud for storage. Healthcare professionals can read real-time patient vitals on the web-based dashboard which is equipped with an alert service. The proposed system was able to transmit and display all parameters in real-time accurately without any packet loss or transmission errors. The accuracy of body temperature readings, RR, SpO2 and HR, is up to 99.7%, 100%, 97.97% and 98.34%, respectively. Alerts were successfully sent when the parameters reached unsafe levels. With the proposed system, healthcare professionals can remotely monitor COVID-19 patients with greater ease, lessen their exposure to the pathogen, and improve patient monitoring

Smart-Hadir - Mobile Based Attendance Management System

Manual time and attendance systems are still being practiced within a considerable number of universities, colleges, government departments and companies. This traditional system requires the user to fill in their timesheets or sign on the attendance sheet manually. The practice inefficient and ineffective for university’s student attendance recording due to, i) lecturer may lose the attendance sheet, ii) student may sign for their friends, iii) student may forget to sign on the attendance sheet, and iv) challenging to monitor attendance rate and analysis. Thus, there is a necessity to change these traditional attendance recording methods to a more efficient one. The attendance rate is significant because students are more likely to succeed in academics when they attend classes consistently. As such, a mobile app, namely Smart-Hadir, is designed to overcome problems as mentioned above. Smart-Hadir is a smartphone application developed by UMS aimed to record student attendance digitally during a class session. The technology used is slightly different from the existing applications, where Smart-Hadir is not using RFID technology but rather covers NFC, QR code, and beacon technologies. Attendance could be taken either using NFC or QR code displayed on the wall using a projector or scan the available beacon. Lecturers can create class session using the Smart-Hadir anywhere and anytime. Students are then required to take their attendance either scan the QR code, search the beacon, or swiped their student card on the lecturer’s phone. The students’ attendance will be immediately captured and saved into the database. Lecturers will be able to view the statistic report, identify and e-mail absentees, as well as monitor students’ attendance behaviour. A statistical report can be generated. It shows the percentages of students’ attendance rate, absent rate, and status. The Smart-Hadir is advantageous as it can be used to capture meeting or event attendance record as well