Indoor air quality (IAQ) and indoor air pollution (IAP) are a matter of concern in many countries because they can significantly influence the general health and well-being of those who spend most of their time inside, whether at home or work. Poor IAQ and repeated exposure to dangerous concentrations of pollutants can contribute significantly to the healthcare burden along with increased absenteeism and lost productivity worldwide. This book, Indoor Air Quality Assessment for Smart Environments, explores the problem of IAQ and highlights potential challenges, gaps, and opportunities in the field. As the title suggests, it focuses on assessing IAQ in smart environments using emerging technologies, such as the Internet of Things (IoT) and Wireless Sensor Networks (WSN), that can further contribute to the development of intelligent building management systems. The book contains 8 chapters, written by various experts in the field and addressing significant elements of IAQ management, including: definition, state-of-the-art and applications; sensing techniques; technological interventions and smart environments; smart monitoring devices; green and smart hospitals; health risks of nano building products; the optimization of household ventilation; and an assessment of smart environments. While providing a useful source of knowledge for researchers, policymakers, public health professionals and government agencies wishing to enhance the air quality in buildings, the book will also serve as a guide to building occupants who wish to take the necessary measures to enhance the built environment with improved ventilation arrangements.

The term Intelligent Environments (IEs) refers to physical spaces in which information and communication technologies are interwoven with sensing technologies, innovative user interfaces, robotics and artificial intelligence to create interactive spaces which increase the awareness and enhance the experience of those occupying them. The growing IE community is rooted in academia, but increasingly involves practitioners. It explores the core ideas of IEs as well as the factors necessary to make them a reality, such as energy efficiency, the computational constraints of edge devices and privacy issues. This book presents papers from Workshops held during the 18th International Conference on Intelligent Environments, IE2022, held as a hybrid conference in Biarritz, France, from 20 to 23 June 2022. The conference is now recognized as a major annual venue in the field of IE. It offers a truly international forum for the exchange of information and ideas, and welcomes contributions from all technically active regions of the planet. Included here are 35 papers from the 1st International Workshop on Sentiment Analysis and Emotion Recognition for Social Robots (SENTIRobots’22); 1st International Workshop on Edge AI for Smart Agriculture (EAISA’22); 2nd International Workshop on Artificial Intelligence and Machine Learning for Emerging Topics (ALLEGET’22); 11th International Workshop on the Reliability of Intelligent Environments (WoRIE’22); 2nd International Workshop on Self-Learning in Intelligent Environments (SeLIE’22); 5th Workshop on Citizen Centric Smart Cities Solutions (CCSCS’22); 11th International Workshop on Intelligent Environments Supporting Healthcare and Well-being (WISHWell’22) Exploring some of the latest research and developments in the field, the book will be of interest to all those working with intelligent environments and its associated technologies.

This collection synthesizes diverse studies in Indoor Environmental Quality (IEQ) engineering. The book begins with a review of crucial factors such as thermal comfort and air quality, then moves on to explore technological applications. Chapters address such topics as the intersection of IEQ, sustainability, and occupant well-being, the evolution of IEQ standards and protocols, and the integration of machine learning techniques into IEQ assessment.

The term ‘intelligent environment’ (IE) refers to a physical space that is enhanced by digital technologies. Such environments are designed to improve the quality of life of the people who live or work in them, and are equipped with technologies such as sensing systems and artificial intelligence which can detect changes in the environment, anticipate user requirements, and provide personalized services and experiences to users. This book presents presents papers from Workshops held during the first two days of IE2023, the 19th International Conference on Intelligent Environments, held in Mauritius between 27 and 30 June 2023, with an online participation available for those who could not travel to the island. The papers are grouped under the headings of the various workshops: the 12th International Workshop on the Reliability of Intelligent Environments (WoRIE’23); the 3rd International Workshop on Artificial Intelligence and Machine Learning for Emerging Topics (ALLEGET’23); the 3rd International Workshop on Self-Learning in Intelligent Environments (SeLIE’23); the 2nd International Workshop on Edge AI for Smart Agriculture (EAISA’23); and the 12th International Workshop on Intelligent Environments Supporting Healthcare and Well-being (WISHWell’2023), and represent a diverse array of cutting-edge research reflective of this exciting area of study. The book offers an overview of the latest and most exciting developments in intelligent-environments research, and will be of interest to all those working in the field.

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.

Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering merges computer engineering and environmental engineering. The book presents the latest finding on how data science and AI-based tools are being applied in environmental engineering research. This application involves multiple domains such as data science and artificial intelligence to transform the data collected by intelligent sensors into relevant and reliable information to support decision-making. These tools include fuzzy logic, knowledge-based systems, particle swarm optimization, genetic algorithms, Monte Carlo simulation, artificial neural networks, support vector machine, boosted regression tree, simulated annealing, ant colony algorithm, decision tree, immune algorithm, and imperialist competitive algorithm. This book is a fundamental information source because it is the first book to present the foundational reference material in this new research field. Furthermore, it gives a critical overview of the latest cross-domain research findings and technological developments on the recent advances in computer-aided intelligent environmental data engineering. Captures the application of data science and artificial intelligence for a broader spectrum of environmental engineering problems Presents methods and procedures as well as case studies where state-of-the-art technologies are applied in actual environmental scenarios Offers a compilation of essential and critical reviews on the application of data science and artificial intelligence to the entire spectrum of environmental engineering

This book focuses on the environmental ergonomics of restaurant kitchens and the challenges related hereto in a semitropical city from a chef’s perspective. It establishes the urgent need for commercial kitchens to be conducive to the well-being of kitchen workers as heat illness is unreported in this industry. This research is relevant from an occupational health and safety point of view. It evaluates the indoor environmental quality (IEQ) parameters such as heat, ventilation and humidity, noise and lighting in kitchens, cognisant that with different cuisines, the kitchen loads are different. The goals of occupational safety are health intervention for worker comfort to enhanced work performance. The book generates new knowledge regarding the factors affecting the body mass index of kitchen workers, prediction of heat and humidity near cooking stoves, discomfort near ovens, lighting in preparation areas and factors affecting reaction to stove noise. The book implements an exploratory design with multiple case studies.

This book focuses on the integration of IoT and computer aided systems for the development of smart buildings. The scope of the book includes, but is not restricted to, advanced technologies for monitoring, energy management, smart gardening, protection, safety, assisted living, and intelligent operations. The authors cover the wide aspects of interconnected smart services with convenient interfacing to the end-users. The features of this book include discussion on various aspects of IoT and computer aided systems for smart architecture designs and innovative object interconnections. The book also provides highlights on the applications of IoT in the development of intelligent structures for technology-enabled lifestyles. Furthermore, it provides prominent scopes for future inventions in the field of electrical engineering, building system management, and computer-aided advancements. The content of this book is useful to graduate and post-graduate students, researchers, and professionals working on the concept of smart building, smart city, and smart environments.