An IoE-SVM Based Statistical Investigation to Measure Effect of Air Pollutant Substances on Student’s Attention Level

Authors

  • Sushil Kumar Mahapatra S ‘O’A Deemed to be University
  • Binod Kumar Pattanayak S ‘O’A Deemed to be University
  • Bibudhendu Pati Rama Devi Women's University

DOI:

https://doi.org/10.13053/cys-28-2-4799

Keywords:

Attention Level, EEG Signal, Air Pollution, Academic Performance, SVM, IoE, Air Quality Index

Abstract

The air pollutant in a specific region is mainly responsible for the respiration-related health problem. But the effect of these pollutants is also creating cognitive related issues and hence degrades the attention level of the students. As a result, their educational performance and learning ability reduce to a great extent. This study is to reveal the effect of the air pollutant on the educational outcomes of a student by measuring their attentiveness in the class using the Internet of Everything (IoE). As the effect of ambient air quality is different from region to region. This investigation is performed upon 33 schools of the Odisha region in India. An IoE-SVM Based approach is employed to evaluate the attentiveness of the student in different regions. The result shows that the PM10 and NO2 are mostly affecting the student’s attentiveness and hence cognitive response. The result shows that a 1% increase in PM10, NO2, and SO2 levels would decrease the test score by 0.049%, 0.14%, and 0.18% respectively

Author Biographies

Sushil Kumar Mahapatra, S ‘O’A Deemed to be University

Sushil Kumar Mahapatra is a PhD Scholar in S ‘O’A Deemed to be University, Department of Computer Science & Engineering, India.

Binod Kumar Pattanayak, S ‘O’A Deemed to be University

Prof. Binod Kumar Pattanayak is a full professor in S ‘O’A Deemed to be University, Department of Computer Science & Engineering, India

Bibudhendu Pati, Rama Devi Women's University

Bibudhendu Pati is the Head in the Department of Computer Science at Rama Devi Women’s University (only Govt. Women’s University in the State of Odisha, India). He received his Bachelor in Engineering in Computer Science degree with Honours, Master in Engineering in Computer Science from National Institute of Technical Teachers' Training and Research (NITTTR), Chandigarh, Panjab, India, PhD degree from Indian Institute of Technology (IIT) Kharagpur, India. He has around 23 years of experience in teaching and research. His current research interests include Wireless Sensor Networks, Mobile Cloud Computing, Big Data, Internet of Things, and Advanced Network Technologies. He has been involved in many professional and editorial activities.  He has got several papers published in reputed journals, conference proceedings, and books of International repute. He also served as Guest Editor of many reputed journals. He was the General Chair of ICACIE 2016, IEEE ANTS 2017, ICACIE 2018, ICACIE 2019, and ICACIE 2020 International Conferences. He has developed Advanced Network Technologies and Software Engineering Virtual Lab available online. He is the Life Member of Indian Society for Technical Education (ISTE), Life Member of Computer Society of India (CSI), and Senior Member of IEEE.

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Published

2024-06-12

Issue

Vol. 28 No. 2 (2024): 28(2) 2024

Section

Articles

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