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Nanotechnology-Based Smart Remote Sensing Networks for Disaster Prevention
- 1st Edition - May 29, 2022
- Editors: Adil Denizli, Marcelo S. Alencar, Tuan Anh Nguyen, David Motaung
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 1 1 6 6 - 5
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 9 8 2 8 - 4
Nanotechnology-Based Smart Remote Sensing Networks for Disaster Prevention outlines how nanotechnology and space technology could be applied for the detection of disaster risks in… Read more
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Request a sales quoteNanotechnology-Based Smart Remote Sensing Networks for Disaster Prevention outlines how nanotechnology and space technology could be applied for the detection of disaster risks in early stages, using cheap sensors, cheap constellations of low Earth orbit (LEO) satellites, and smart wireless networks with artificial intelligence (AI) tools.
Nanomaterial-based sensors (nanosensors) can offer several advantages over their micro-counterparts, such as lower power or self-powered consumption, high sensitivity, lower concentration of analytes, and smaller interaction distances between the object and the sensor. Besides this, with the support of AI tools, such as fuzzy logic, genetic algorithms, neural networks, and ambient intelligence, sensor systems are becoming smarter when a large number of sensors are used.
This book is an important reference source for materials scientists, engineers, and environmental scientists who are seeking to understand how nanotechnology-based solutions can help mitigate natural disasters.
- Shows how nanotechnology-based solutions can be combined with space technology to provide more effective disaster management solutions
- Explores the best materials for manufacturing different types of nanotechnology-based remote sensing devices
- Assesses the challenges of creating a nanotechnology-based disaster mitigation system in a cost-effective way
Materials scientists and engineers
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- Contributors
- Preface
- Section 1: Nanotechnology for disaster prevention
- Chapter 1: Application of nanotechnology in disaster prevention: An introduction
- Abstract
- 1.1: Introduction
- 1.2: Nanotechnology in sustainable agriculture and hunger prevention
- 1.3: Role of nanotechnology in environmental pollution prevention
- 1.4: Nanotechnology in harvesting renewable energy
- 1.5: Nanotechnology in health sector
- 1.6: Nanotechnology in protection of infrastructures
- 1.7: Conclusion
- References
- Chapter 2: Nanomaterials for construction building products designed to withstand natural disasters
- Abstract
- 2.1: Introduction
- 2.2: Nanomaterials used in the construction
- 2.3: Traditional materials for construction against disaster
- 2.4: Sustainable usages of nano-based materials
- 2.5: Nanomaterials in advanced architecture
- 2.6: Health aspects of nanomaterials when used in the construction building materials
- 2.7: Environmental advantages and disadvantages and life-cycle assessment
- 2.8: Risk assessment and analysis for nanomaterials used in the construction
- 2.9: Regulations data in various countries
- 2.10: Conclusion
- 2.11: Future scope
- References
- Chapter 3: Nano-sensors and nano-devices for biological disaster monitoring (virus/disease epidemics/animal plagues detections)
- Abstract
- 3.1: Introduction
- 3.2: Nano-sensors and nano-devices
- 3.3: The biological disaster monitoring applications
- 3.4: Conclusions
- References
- Chapter 4: Internet of Things-based disaster management system
- Abstract
- 4.1: Introduction to disaster
- 4.2: Classification
- 4.3: Wireless sensor network and internet of things
- 4.4: Design challenges of using WSN/IoT in disaster management and possible solutions
- 4.5: Results and discussion
- 4.6: Scope for research in disaster management
- 4.7: Conclusion
- References
- Chapter 5: Nanosensors for smartphone-enabled sensing devices
- Abstract
- 5.1: Introduction
- 5.2: Nanosensors
- 5.3: Nanosensors on smart platforms
- 5.4: Conclusion and future perspectives
- References
- Chapter 6: Smart and autonomous (self-powered) nanosensor networks
- Abstract
- 6.1: Introduction
- 6.2: Technology for self-powered nanosensors
- 6.3: Applications of self-powered sensors for natural disasters
- 6.4: Conclusion and remarks
- References
- Chapter 7: Nanosensors for smartphone sensing method
- Abstract
- 7.1: Introduction
- 7.2: Applications of nanosensors in smartphones
- 7.3: Conclusion and remarks
- References
- Section 2: Space technology for disaster prevention
- Chapter 8: Nanotechnology in the space industry
- Abstract
- 8.1: Introduction of nanotechnology in space technology
- 8.2: Nanomaterials in space industries
- 8.3: Nanostructures in aero-parts
- 8.4: Summary
- References
- Chapter 9: Unmanned aerial vehicles (UAVs) for disaster management
- Abstract
- 9.1: Introduction
- 9.2: UAV advancement for disaster management
- 9.3: UAV-assisted communication network for disaster management
- 9.4: Disaster types and phases
- 9.5: Case studies
- 9.6: Conclusions
- References
- Chapter 10: The role of satellite remote sensing in natural disaster management
- Abstract
- 10.1: Introduction
- 10.2: Remote sensing data and techniques to access natural disasters
- 10.3: Conclusions
- References
- Chapter 11: The synergy of remote sensing and geographical information systems in the management of natural disasters
- Abstract
- 11.1: Introduction
- 11.2: The synergy of remote sensing and GIS in the management of natural disasters
- 11.3: Conclusions
- References
- Chapter 12: Small satellites for disaster monitoring
- Abstract
- 12.1: Introduction
- 12.2: Remote sensing platforms
- 12.3: A taxonomy of disasters
- 12.4: Enabling technologies
- 12.5: Conclusions
- References
- Chapter 13: A comparative study of deep learning-based time-series forecasting techniques for fine-scale urban extreme heat prediction using Internet of Things observations
- Abstract
- 13.1: Introduction
- 13.2: Data
- 13.3: Methods
- 13.4: Training and evaluation
- 13.5: Experiment result
- 13.6: Conclusions
- References
- Chapter 14: Satellite and aerial remote sensing in disaster management: An introduction
- Abstract
- 14.1: Introduction
- 14.2: Data and methods
- 14.3: Results
- 14.4: Conclusions
- References
- Chapter 15: Emerging role of unmanned aerial vehicles (UAVs) for disaster management applications
- Abstract
- 15.1: Introduction
- 15.2: Disaster management cycle
- 15.3: Unmanned aerial vehicles (UAVs)
- 15.4: Overview of UAV sensors
- 15.5: UAV regulations
- 15.6: UAV hardware considerations
- 15.7: Applications of UAVs in disaster management
- 15.8: Future applications and challenges
- References
- Chapter 16: Smart remote sensing network for early warning of disaster risks
- Abstract
- Acknowledgment
- 16.1: Introduction
- 16.2: Remote sensing network architecture
- 16.3: Utilizing machine learning for smart sensing
- 16.4: UAV potential in early warning systems
- 16.5: Conclusion
- References
- Index
- No. of pages: 350
- Language: English
- Edition: 1
- Published: May 29, 2022
- Imprint: Elsevier
- Paperback ISBN: 9780323911665
- eBook ISBN: 9780323998284
AD
Adil Denizli
Adil Denizli is Professor at Hacettepe University, Department of Chemistry, Ankara, Turkey. His main research fields are molecular imprinting technologies, purification of biomolecules by chromatographic methods, detection of molecules by sensors, production of polymers with different surface and bulk properties, shape and geometries, and application of these polymers in different applications.
Affiliations and expertise
Professor, Hacettepe University, Department of Chemistry, Ankara, TurkeyMA
Marcelo S. Alencar
Marcelo Alencar is Chair Professor at the Department of Electrical Engineering, Federal University of Campina Grande, Brazil. His research is in communication and information systems.
Affiliations and expertise
Department of Electrical Engineering, Federal University of Campina Grande, BrazilTN
Tuan Anh Nguyen
Tuan Anh Nguyen is a Senior Principal Research Scientist at the Institute for Tropical Technology, Vietnam Academy of Science and Technology, Hanoi, Vietnam. He received a BS in physics from Hanoi University in 1992, a BS in economics from Hanoi National Economics University in 1997, and a PhD in chemistry from the Paris Diderot University, France, in 2003. He was a Visiting Scientist at Seoul National University, South Korea, in 2004, and the University of Wollongong, Australia, in 2005. He then worked as a Postdoctoral Research Associate and Research Scientist at Montana State University, United States in 2006-09. In 2012 he was appointed as the Head of the Microanalysis Department at the Institute for Tropical Technology. His research areas of interest include smart sensors, smart networks, smart hospitals, smart cities, complexiverse, and digital twins. He has edited more than 74 books for Elsevier, 12 books for CRC Press, 1 book for Springer, 1 book for RSC, and 2 books for IGI Global. He is the Editor-in-Chief of Kenkyu Journal of Nanotechnology & Nanoscience.
Affiliations and expertise
Senior Principal Research Scientist, Institute for Tropical Technology, Vietnam Academy of Science and Technology, Hanoi, VietnamDM
David Motaung
David Motaung is Professor in the Department of Physics, University of Limpopo, Sovenga, South Africa. His current research interests include design, synthesis and characterization of semiconductor metal oxides, nanostructured materials and their application in gas sensing devices for air quality monitoring.
Affiliations and expertise
Department of Physics, University of Limpopo, Sovenga, South AfricaRead Nanotechnology-Based Smart Remote Sensing Networks for Disaster Prevention on ScienceDirect