ABSTRACT
The risk of Coronavirus disease (COVID-19) was reported to be higher in the indoor environment due to poor ventilation systems. A good and efficient ventilation system in enclosed spaces can help reduce the risk of infection. Thus, it is important to monitor the efficiency of the ventilation system. Therefore, this research aims to develop an indoor air quality (IAQ) monitoring and control system using the fuzzy logic controller (FLC). Three IAQ parameters were selected in this study (temperature, relative humidity (RH), and carbon dioxide (CO2) concentration). In addition, benchmark testing was done to test the efficiency of the IAQ monitoring and control system. The system's engine is a microcontroller, which collects data on IAQ parameters, and is equipped with an exhaust fan as the ventilation strategy. The device aids in monitoring IAQ parameters and is equipped with an exhaust fan as the ventilation strategy. The device, which aids in monitoring IAQ, was created using a machine learning technique, fuzzy logic controller. The performance of the proposed air quality monitoring and control system was also investigated and validated through several experiments. The system was tested by modifying each parameter individually while keeping the controlled parameters safe. In addition, the tests were changed to include the existence of a controller in the system to see how ventilation affects the measured metrics. The test revealed that without the controller, the parameters take a long time to return to their initial values, however with the controller, the readings return to their original values faster than normal. The system also demonstrated that by following the fuzzy rules set, it is capable of handling two parameters at the same time. © 2022 IEEE.
ABSTRACT
The Covid-19 pandemic has transformed people's activities in many aspects of human life, including how to conduct field surveys as part of research projects. The pandemic could substantially increase research expenses because the execution of surveys is limited by the activity restrictions imposed by the government. Field surveys during the pandemic are no longer flexible because for safety reasons, both the surveyor and the surveyed participant should be negative for Covid-19 by taking PCR tests. This condition could be problematic because research involving household samples is usually characterized by large sample sizes and wide coverage areas. The survey is also usually conducted directly in households to provide better and more accurate results. This article describes an alternative method for obtaining a representative sample of households using an internet-based survey at an affordable cost without ignoring the validity of the survey. This method can be widely implemented in social and economic field studies.â¢The sampling method proposed for household research is quota sampling, with the strict application of proportions or controlled quotas.â¢Recruiting local enumerators and selecting respondents based on the criteria is a tool to ease the validation process and quota control of respondents.