Integrating IoT and AI for Indoor Air Quality Assessment

This book presents Internet of Things (IoT) based monitoring and assessment solutions for a variety of application areas on indoor air quality (IAQ). This book synthesizes recent developments, presents case studies, and discusses new methods in air quality monitoring while addressing public health concerns. The authors discuss the issues and solutions, including IoT systems that can provide a continuous flow of data retrieved from cost-effective sensors for multiple applications. The authors present the leading IoT technologies, applications, algorithms, systems, and future scope in this multi-disciplinary domain. . Addressing applications of IoT specifically for IAQ monitoring; . Focuses on applications of IoT for IAQ to address emerging health issues that are demanding attention from researchers; . Includes solutions to issues caused by bioaerosols and air pollutants and how to address climate adaptation and health risk.

Auteur

Jagriti Saini was born in Himachal Pradesh, district Mandi in 1992. She holds a Diploma in Electronics and Communication Engineering (2010) from GPW Kandaghat and completed her B. Tech in Electronics and Communication Engineering (2013) from HPU. She received a Master's Degree in Electronics and Communication Engineering from the National Institute of Technical Teacher's Training and Research (NITTTR), Chandigarh (Panjab University), India (2017). She was awarded a Gold Medal for securing the highest percentile in the entire university during her Master's Degree. Jagriti is currently pursuing her Ph.D. in Electronics and Communication Engineering from the National Institute of Technical Teacher's Training and Research (NITTTR), Chandigarh (Panjab University). She is also receiving an INSPIRE fellowship from the Department of Science and Technology (DST), India for carrying out her research work. Her current research interests include Artificial Intelligence, Internet of Things, Environmental Monitoring, Indoor Air Quality Monitoring and Prediction, Healthcare Systems, e-Health, and Autonomous Systems. Her Ph.D. thesis entitled "Design and Development of Intelligent Indoor Air Quality Monitoring and Prediction System - Vayuveda" is mainly focused on developing cost-effective real-time monitoring and prediction system for indoor air quality management. She published more than 25 papers in reputed peer-reviewed international journals and conferences. Other than this, she is a frequent reviewer of journals and international conferences and is also working on several edited book projects.

Maitreyee Dutta was born in Guwahati, India. She received the B.E. degree in electronics and communication engineering in 1993 from Guwahati University and was Gold Medalist in the same year. She obtained M.E. degree in electronics and communication engineering, and the Ph.D. degree in the faculty in engineering from Panjab University. She is currently Professor and Head of Information Management and Emerging Engineering and Joint Professor in Computer Science and Engineering Department, National Institute of Technical Teachers' Training and Research, Chandigarh, India. She has more than 22 years of teaching experience. Her research interests include the Internet of Things, security of data, IP networks, Internet, authorization, data privacy, Public Key encryption, pattern clustering, cloud computing and data compression. She has more than 100 research publications in reputed journals and conferences. She completed two sponsored research projects-Establishment of Cyber Security Lab-funded by the Ministry of IT, Government of India, New Delhi, amounting to Rs. 45.65 lac and Establishment of Advaned Cyber Security Lab sponsored by MeitY, New Delhi amounting to 62 lacs. One sponsored project Securing Billion of Things-SEBOT funded by All India Council of Technical Education, New Delhi of amount Rs. 14.98 lacs is in progress.

Gonçalo Marques holds a PhD in Computer Science Engineering and is member of the Portuguese Engineering Association (Ordem dos Engenheiros). He is currently working as Assistant Professor lecturing courses on programming, multimedia and database systems. Furthermore, he worked as a Software Engineer in the Innovation and Development unit of Groupe PSA automotive industry from 2016 to 2017 and in the IBM group from 2018 to 2019. His current research interests include Internet of Things, Enhanced Living Environments, machine learning, e-health, telemedicine, medical and healthcare systems, indoor air quality monitoring and assessment, and wireless sensor networks. He has more than 80 publications in international journals and conferences, is a frequent reviewer of journals and international conferences and is also involved in several edited books projects.

Malka N. Halgamuge is a Researcher in the Department of Electrical and Electronic Engineering at the University of Melbourne. She obtained her PhD from the same department in 2007. She was awarded the Chinese Academy of Sciences President's International Fellowship (2017), Incoming Leaders Fellowship from Australia India Institute @ Delhi (2016), Next Step Initiative Fellowship (2015), Australia-China Young Scientist Fellowship (2014), Dyason Fellowship at the University of California (UCLA), Los Angeles, USA (2013), Early Career Researcher (ECR) Award from Alexander von Humboldt Foundation (2013) and Solander Fellowships at Lund University (2007 and 2008). She is the recipient of the Vice-Chancellor's Engagement Award (2010) and Vice-Chancellor's Knowledge Transfer Award (2008) for her research at the University of Melbourne. She is passionate about research and teaching university students (Emerging Technologies, Internet of Things (IoT), Blockchain, Machine Learning Solutions, and Bioelectromagnetics).

Texte du rabat

This book presents Internet of Things (IoT) solutions monitoring and assessing a variety of applications areas for indoor air quality (IAQ). This book synthesizes recent developments, presents case studies, and discusses new methods in the area of air quality monitoring, all the while addressing public health concerns. The authors discuss the issues and solutions, including IoT systems that can provide a continuous flow of data retrieved from cost-effective sensors that can be used in multiple applications.The authors present the leading IoT technologies, applications, algorithms, systems, and future scope in this multi-disciplinary domain.

Contenu

Introduction.- A Comprehensive Review on The Indoor Air Pollution Problem, Challenges, and Critical Viewpoints.- Bioaerosols An Unavoidable Indoor Air Pollutant that Deteriorate Indoor Air Quality.- How Indoor Air Quality Assessments Can Promote Health and Prevent Diseases.- Recent Computer-Aided Advances for Indoor Air Pollution Management.- Biomonitoring Indoor Air of Buildings.- Modern Solutions for Indoor Air Quality Management in Commercial and Residential Spaces.- A Review on Current Developments of IoT Strategies for Climate Adaptive Building Shells.- IoT Enabled Building Ventilation for Indoor Air Quality Improvement.- Indoor Air Quality Improvement Device.- Online Monitoring of Indoor Air Quality and Thermal Comfort using a Distributed Sensor Based Fuzzy-Decision Tree Model.- Health Risk Assessment Associated with Air Pollution through Technological Interventions.- Conclusion.