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More experiments can be performed in different places to
test the reliability and accuracy of the device. Additional air
filters and purifiers can be attached to the proposed device
to implement on-spot purification. The unmanned aerial system
and Raspberry Pi camera can be utilized to monitor water,
waste, visual and aesthetic pollutions by implementing advanced
image processing and computer vision techniques.
References
[1] N. H. Motlagh, T. Taleb and O. Arouk, " Low-altitude unmanned
aerial vehicles-based internet of things services: comprehensive
survey and future perspectives, " IEEE Internet of Things J., vol. 3,
no. 6, pp. 899-922, 2016.
[2] M. Ioannis, S. Elisavet, S. Agathangelos and B. Eugenia,
" Environmental and health impacts of air pollution: a review, "
Frontiers in Public Health, vol. 8, 2020.
[3] N. Nahar, S. Mahiuddin and Z. Hossain, " The severity of
environmental pollution in the developing countries and its
remedial measures, " Earth, vol. 2, no. 1, pp. 124-139, 2021.
[4] D. Gallacher, " Drone applications for environmental
management in urban spaces: a review, " Int. J. Sustainable Land
Use and Urban Planning, vol. 3, no. 4, 2017.
[5] J. I. H. Vega et al., " Internet of things (IoT) for monitoring air
pollutants with an unmanned aerial vehicle (UAV) in a smart
city, " Smart Technology. Cham, Switzerland: Springer, pp. 108-120,
2018.
[6] M. A. Fekih et al., " Participatory air quality and urban heat islands
monitoring system, " IEEE Trans. Instrum. Meas., vol. 70, pp. 1-14,
2020.
[7] S. Dhingra, R. B. Madda, A. H. Gandomi, R. Patan and M.
Daneshmand, " Internet of things mobile-air pollution
monitoring system (IoT-Mobair), " IEEE Internet of Things J., vol. 6,
no. 3, pp. 5577-5584, 2019.
[8] L. Gugliermetti and D. A. Garcia, " A cheap and third-age-friendly
home device for monitoring indoor air quality, " Int. J. Environ. Sci.
Technol., vol. 15, pp. 185-198, 2018.
[9] G. Rohi, O. Ejofodomi and G. Ofualagba, " Autonomous
monitoring, analysis, and countering of air pollution using
environmental drones, " Heliyon, vol. 6, pp. 1-10, 2020.
[10] R. D. Fazio, L. M. Dinoi, M. D. Vittorio, and P. Visconti, " A
sensor-based drone for pollutants detection in eco-friendly cities:
hardware design and data analysis application, " Electronics, vol.
11, 2022.
Amzad Hossain is a Research Assistant and a Lab Instructor
in the Department of Mathematics and Physics of
North South University in Dhaka, Bangladesh, where he
completed his B.Sc. degree in electrical and electronic engineering.
His research interests include internet of things
(IoT), GPU computing, pollutant dispersion, computational
fluid dynamics (CFD) and biomedical and environmental
applications.
Meratun Junnut Anee is a Research Assistant at North South
University in Dhaka, Bangladesh, where she received her B.Sc.
degree in electrical and electronic engineering. Her research
interests include electric vehicles, low-cost electronics, analog
integrated circuits, simulation and modeling, computational
techniques, thermodynamics, GPU computing and environmental
fluid dynamics.
Raisa Faruqui is pursuing her M.Sc. degree in engineering
management at Nottingham Trent University, Nottingham,
UK. She received a B.Sc. degree in electrical and electronic engineering
from North South University, Dhaka, Bangladesh
and is currently working on her final year project on " Challenges
of Incorporating Information and Communication
Technology in Bangladesh. " Her desire is to work on the education
system in Bangladesh and become a professor.
Sabahat Bushra is working to secure a position in a reputable
institution that would expand her research knowledge
and skills. Her research interest lies in system robotics and
in integrated systems that could be used to contribute to the
development of the local community and environment of Bangladesh.
She obtained her undergraduate degree in solid state
engineering in 2021 from North South University, Dhaka,
Bangladesh.
Parinda Rahman is an Associate Editor for the Journal of Student
Research at North South University in Dhaka, Bangladesh,
where she is pursuing a degree in computer science and engineering.
She has served as the Undergraduate Teaching
Assistant in the Department of Mathematics and Physics. Her
research interests include biomedical and environmental applications
of machine learning, artificial intelligence, data and
signal processing and human computer interaction.
Riasat Khan (riasat.khan@northsouth.edu) is an Assistant
Professor in the Department of Electrical and Computer Engineering
at North South University, Dhaka, Bangladesh. His
research interests include biomedical engineering, control
and robotics and computational bioelectromagnetics. He received
a B.Sc. degree in electrical and electronic engineering
from the Islamic University of Technology, Bangladesh in 2010
and completed his M.Sc. and Ph.D. degrees in electrical engineering
from New Mexico State University, Las Cruces, New
Mexico, USA.
60
IEEE Instrumentation & Measurement Magazine
December 2022

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