International Journal of Engineering Works

Linking the Researchers, Developing the Innovations

In Press

Study on Indoor Air Quality Measurement of Educational Buildings in Pakistan

Published online https://doi.org/

Abstract

The current technological era has provided humanity with unprecedented luxuries and opportunities for exploration, both on Earth and in space. However, this progress has also introduced significant environmental threats. Recent global awareness has heightened concern for environmental protection, with governments focusing on pollutants that cause catastrophic events like flash floods. Scientists are now identifying and analyzing specific pollutants to mitigate their impact and propose eco-friendly alternatives. This study focuses on the indoor air quality (IAQ) of an educational building at UET Peshawar (USPCAS-E). Sensors and particle monitors were placed in 19 rooms to measure temperature, humidity, air flow, and particulate matter (sizes 0.5 µm to 10 µm). Data was recorded at three different times and averaged for accuracy. The aim is to identify indoor air pollution sources and their adverse effects on health, contributing to better IAQ management strategies.

Author

Yasir Atlas Khan, Dr. Adnan Daud

Cite

, , ,

References

Detetion and Prevention of Irrelevent Data Through Data Cleansing

Published online https://doi.org/

Abstract

A file oriented unstructured data collected and transformed into the data warehouse .Two or more records identified separately actually represent same real world entity, detection and prevention to improve data quality. The proposed technique introduces smart tokens of most representative attributes by sorting those tokens identical records are bring into close neighborhood, record duplicates are identified and removed from the data. Clean consistent and non duplicated data loaded into warehouse. The technique is a mile stone for cleaning data as with the explosive amount of data recording it is the need of time that more corrected data to be provided to the data mangers for effective decisions making.