For the past decade, Wi-Fi signal fingerprinting algorithm has been considered as a prevalent solution for indoor positioning systems. Fingerprinting based methods require a massive database of Wi-Fi signal samples to calibrate the indoor positioning system and to achieve a high location accuracy. Traditionally the calibration procedure requires human intervention and is very time-consuming, which makes a large-scale deployments of indoor positioning systems non-trivial. Objective of this research to minimise the manual workload by combining the conventional sampling algorithm with signal prediction. In contrast to traditional algorithms, proposed method requires only few signal samples to be collected and rest of the data are approximated using Discrete Fourier Transforms. The main objective of our research is to reduce the calibration effort while maintaining an acceptable location accuracy of the indoor positioning systems.

Coronavirus disease 2019 (COVID-19) is a global pandemic. Clinical studies have shown that there was an association between COVID-19 and cardiovascular disease. The virus can directly induce myocardial injury, arrhythmia, acute coronary syndrome, and venous thromboembolism. In Malaysia, students will come back to University soon. The screening techniques framework is required to reduce the pandemic Covid-19 transmission among the students. In this manuscript, we present a new screening technique framework which is consists of temperature and heart rate measurements, movement tracking and risk assessment. Students will be given a questionnaire to stratify their risk into high, medium, and low risk. The temperature will be measured by using an infrared thermometer. The heart rate will be monitored only in those in high and lowrisk categories by using a smart bracelet. The students’ movement will be tracked by using a Wi-Fi based location technique. To avoid any privacy concerns, the location data will be extracted only if the student shared the location with the confirmed COVID-19 case. Lastly, the risk assessment is required in reporting if the infection occurs among students.