Smart and Sustainable Technology for Resilient Cities and Communities

1. Auflage 2022
ISBN: 978-981-16-9100-3
Verlag: Springer Nature Singapore

Buch, Englisch, 322 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 676 g

Reihe: Advances in Sustainability Science and Technology

This book is a collection of extended versions of papers presented at the KES Covid-19 Challenge international summit. The book focusses on technological, economic, and social developments to combat the effects of global and local disasters as well as the ways in which the recovery from Covid can be used to build more resilient and sustainable communities, industry, and improve the environment. It also discusses the global challenges of human-influenced climate change. There are chapters on making cities and communities more resilient through energy self-sufficiency, food production, resilient housing and buildings, human health and intelligent systems e.g. for forecasting and prediction.

Zielgruppe

Research

Autoren/Hrsg.

Howlett, Robert J.

Balas, Marius M.

Jain, Lakhmi C.

Littlewood, John R.

Fachgebiete

• Geisteswissenschaften Architektur Ökologische Aspekte in der Architektur
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Energie- & Versorgungswirtschaft Energiewirtschaft: Alternative & Erneuerbare Energien
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Energietechnik | Elektrotechnik Alternative und erneuerbare Energien

Inhaltsverzeichnis

Examining pedagogical approaches in developing employability skills in the wake of the Covid-19 pandemic.- Relating work-integrated learning to the employability skills discussion in the post-COVID-19 era.- Integration of Indoor Air Quality concerns in educational community through collaborative framework of Campus Bizia Lab of the University of the Basque Country.- An overview of methods for control and estimation of capacity in COVID19 pandemic from point cloud and imagery data.- Forecasting the COVID-19 spread in Iran, Italy and Mexico using novel nonlinear autoregressive neural network and ARIMA-based hybrid models.- A Comparative Study of Deep-Learning Models for COVID-19 Diagnosis based on X-ray Images.- Equipping European higher education teachers for successful and sustainable e-learning with home remote work.- Anticipating and Preparing for Future Change and Uncertainty: Building Adaptive Pathways.- A Sustainable Nutritional Behavior In The Era Of Climate Changes.- The Development of a Smart Tunable Full-Spectrum LED Lighting Technology which may Prevent and Treat Covid-19 Infections, for Society's Resilience and Quality of Life.- Energy efficient technologies for ultra-low temperature refrigeration.

Über Autor(innen)

Prof. Robert J. Howlett is the Executive Chair of KES International, a non-profit organization that facilitates knowledge transfer and the dissemination of research results in areas including intelligent systems, sustainability and knowledge transfer. He is a Visiting Professor at 'Aurel Vlaicu' University of Arad, Romania, and Bournemouth University in the UK. Professor Howlett's technical expertise is in the use of intelligent systems to solve industrial problems. He has been successful in applying artificial intelligence, machine learning and related technologies to sustainability and renewable energy systems; condition monitoring, diagnostic tools and systems; and automotive electronics and engine management systems. His current research work is focused on the use of smart microgrids to achieve reduced energy costs and lower carbon emissions in areas such as housing and protected horticulture.

Prof. Lakhmi C. Jain, Ph.D., M.E., B.E. (Hons), Fellow (EngineersAustralia), is with Liverpool Hope University, UK and was formerly with the University of Technology Sydney, Australia. Professor Jain founded the KES International for providing a professional community the opportunities for publications, knowledge exchange, cooperation and teaming. Involving around 5,000 researchers drawn from universities and companies worldwide, KES facilitates international cooperation and generates synergy in teaching and research. KES regularly provides networking opportunities for professional community through one of the largest conferences of its kind in the area of KES.

Dr. John R. Littlewood graduated in Building Surveying, holds a Ph.D. in Building Performance Assessment of Zero Heating Housing, and is a Chartered Building Engineer. He is Head of the Sustainable and Resilient Built Environment research group in Cardiff School of Art & Design at Cardiff Metropolitan University (UK). He coordinates three Professional Doctorates in Art & Design, Engineering and Sustainable Built Environment. John’s research is industry focused, investigating methods to optimise the fire safety, production, and thermal performance for existing and new dwellings during the design, manufacture, construction, operation, or during and after retrofit stages. The outcomes of John’s research enhance occupant quality of life and increase the environmental sustainability and resilience of the built environment. He has authored and co-authored 155 peer-reviewed publications.

Dr. Marius M. Balas, IEEE Senior Member, is a Professor at the Engineering Faculty of Aurel Vlaicu University of Arad, Romania. His research topics are in Systems Engineering, Electronic Circuits, Intelligent and Fuzzy Systems, Adaptive Control, Greenhouses, Modeling and Simu­lation. He is author of 16 books and book chapters, 120 indexed papers and 7 invention patents. His main contributions: the fuzzy-interpolative systems, the passive green­houses, the intelligent rooftop greenhouses, the constant time to collision traffic optimization, the rejection of the switching controllers’ instability by phase trajectory analysis and the Fermat neuron.