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DIGITAL CITIES ROADMAP
This book details applications of technology to efficient digital city
infrastructure and its planning, including smart buildings.
Rapid urbanization, demographic changes, environmental changes, and new technologies are changing the views of urban leaders on sustainability, as well as creating and providing public services to tackle these new dynamics. Sustainable development is an objective by which the processes of planning, implementing projects, and development is aimed at meeting the needs of modern communities without compromising the potential of future generations. The advent of Smart Cities is the answer to these problems.
Digital Cities Roadmap provides an in-depth analysis of design technologies that lay a solid foundation for sustainable buildings. The book also highlights smart automation technologies that help save energy, as well as various performance indicators needed to make construction easier. The book aims to create a strong research community, to have a deep understanding and the latest knowledge in the field of energy and comfort, to offer solid ideas in the nearby future for sustainable and resilient buildings. These buildings will help the city grow as a smart city. The smart city has also a focus on low energy consumption, renewable energy, and a small carbon footprint.
Audience
The information provided in this book will be of value to researchers, academicians and industry professionals interested in IoT-based architecture and sustainable buildings, energy efficiency and various tools and methods used to develop green technologies for construction in smart cities.
Autorentext
Arun Solanki PhD is an assistant professor in the Department of Computer Science and Engineering, Gautam Buddha University, Greater Noida, India, where he has been working since 2009. His research interests span expert systems, machine learning, and search engines. He has published many research articles in international journals/conferences.
Adarsh Kumar PhD is an associate professor at the University of Petroleum & Energy Studies, Dehradun, India. His main research interests are cybersecurity, cryptography, network security, and ad-hoc networks. He has published 60+ research papers in reputed journals, conferences and workshops.
Anand Nayyar PhD is currently working in the Graduate School, Duy Tan University, Da Nang, Vietnam. He is a certified professional with more than 75 Professional Certificates from CISCO, Microsoft, Oracle, Google, Beingcert, EXIN, GAQM, Cyberoam, and many more. He published more than 300 research articles in various national and international journals and conferences. He has authored, coauthored or edited about 30 books and has been granted two patents in the areas of Internet of Things and speech processing.
Klappentext
This book details applications of technology to efficient digital city infrastructure and its planning, including smart buildings.
Rapid urbanization, demographic changes, environmental changes, and new technologies are changing the views of urban leaders on sustainability, as well as creating and providing public services to tackle these new dynamics. Sustainable development is an objective by which the processes of planning, implementing projects, and development is aimed at meeting the needs of modern communities without compromising the potential of future generations. The advent of Smart Cities is the answer to these problems.
Digital Cities Roadmap provides an in-depth analysis of design technologies that lay a solid foundation for sustainable buildings. The book also highlights smart automation technologies that help save energy, as well as various performance indicators needed to make construction easier. The book aims to create a strong research community, to have a deep understanding and the latest knowledge in the field of energy and comfort, to offer solid ideas in the nearby future for sustainable and resilient buildings. These buildings will help the city grow as a smart city. The smart city has also a focus on low energy consumption, renewable energy, and a small carbon footprint.
Audience
The information provided in this book will be of value to researchers, academicians and industry professionals interested in IoT-based architecture and sustainable buildings, energy efficiency and various tools and methods used to develop green technologies for construction in smart cities.
Zusammenfassung
DIGITAL CITIES ROADMAP
This book details applications of technology to efficient digital city infrastructure and its planning, including smart buildings.Rapid urbanization, demographic changes, environmental changes, and new technologies are changing the views of urban leaders on sustainability, as well as creating and providing public services to tackle these new dynamics. Sustainable development is an objective by which the processes of planning, implementing projects, and development is aimed at meeting the needs of modern communities without compromising the potential of future generations. The advent of Smart Cities is the answer to these problems.Digital Cities Roadmap provides an in-depth analysis of design technologies that lay a solid foundation for sustainable buildings. The book also highlights smart automation technologies that help save energy, as well as various performance indicators needed to make construction easier. The book aims to create a strong research community, to have a deep understanding and the latest knowledge in the field of energy and comfort, to offer solid ideas in the nearby future for sustainable and resilient buildings. These buildings will help the city grow as a smart city. The smart city has also a focus on low energy consumption, renewable energy, and a small carbon footprint.AudienceThe information provided in this book will be of value to researchers, academicians and industry professionals interested in IoT-based architecture and sustainable buildings, energy efficiency and various tools and methods used to develop green technologies for construction in smart cities.
Inhalt
Preface xix
**1 The Use of Machine Learning for Sustainable and Resilient Buildings 1
**Kuldeep Singh Kaswan and Jagjit Singh Dhatterwal
1.1 Introduction of ML Sustainable Resilient Building 2
1.2 Related Works 2
1.3 Machine Learning 5
1.4 What is Resilience? 6
1.4.1 Sustainability and Resiliency Conditions 7
1.4.2 Paradigm and Challenges of Sustainability and Resilience 7
1.4.3 Perspectives of Local Community 9
1.5 Sustainability and Resilience of Engineered System 12
1.5.1 Resilience and Sustainable Development Framework for Decision-Making 13
1.5.2 Exposures and Disturbance Events 15
1.5.3 Quantification of Resilience 15
1.5.4 Quantification of Sustainability 16
1.6 Community and Quantification Metrics, Resilience and Sustainability Objectives 17
1.6.1 Definition of Quantification Metric 18
1.6.2 Considering and Community 19
1.7 Structure Engineering Dilemmas and Resilient Epcot 21
1.7.1 Dilation of Resilience Essence 21
1.7.2 Quality of Life 22
1.8 Development of Risk Informed Criteria for Building Design Hurricane Resilient on Building 27
1.9 Resilient Infrastructures Against Earthquake and Tsunami Multi-Hazard 28
1.10 Machine Learning With Smart Building 29
1.10.1 Smart Building Appliances 29
1.10.2 Intelligent Tools, Cameras and Electronic Controls in a Connected House (SRB) 29
1.10.3 Level if Clouds are the IoT Institute Level With SBs 31
1.10.4 Component of Smart Buildings (SB) 33
1.10.5 Machine Learning Tasks in Smart Building Environment 46
1.10.6 ML Tools and Services for Smart Building 47
1.10.7 Big Data Research Applications for SBs in Real-Time 51
1.10.8 Implementation of the ML Concept in the SB Context 51
1.11 Conclusion and Futu…