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 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.
1. Chapter 1 Application of nanotechnology in disaster prevention: An introduction - p. 3 2. Chapter 2 Nanomaterials for construction building products designed to withstand natural disasters - p. 19 3. Chapter 3 Nano-sensors and nano-devices for biological disaster monitoring (virus/disease epidemics/animal plagues detections) - p. 43 4. Chapter 4 Internet of Things-based disaster management system - p. 59 5. Chapter 5 Nanosensors for smartphone-enabled sensing devices - p. 85 6. Chapter 6 Smart and autonomous (self-powered) nanosensor networks - p. 105 7. Chapter 7 Nanosensors for smartphone sensing method - p. 123 8. Chapter 8 Nanotechnology in the space industry - p. 139 9. Chapter 9 Unmanned aerial vehicles (UAVs) for disaster management - p. 159 10. Chapter 10 The role of satellite remote sensing in natural disaster management - p. 189 11. Chapter 11 The synergy of remote sensing and geographical information systems in the management of natural disasters - p. 217 12. Chapter 12 Small satellites for disaster monitoring - p. 231 13. 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 - p. 253 14. Chapter 14 Satellite and aerial remote sensing in disaster management: An introduction - p. 273 15. Chapter 15 Emerging role of unmanned aerial vehicles (UAVs) for disaster management applications - p. 281 16. Chapter 16 Smart remote sensing network for early warning of disaster risks - p. 303 17. Index - p. 325
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 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.
1. Chapter 1 Application of nanotechnology in disaster prevention: An introduction - p. 3 2. Chapter 2 Nanomaterials for construction building products designed to withstand natural disasters - p. 19 3. Chapter 3 Nano-sensors and nano-devices for biological disaster monitoring (virus/disease epidemics/animal plagues detections) - p. 43 4. Chapter 4 Internet of Things-based disaster management system - p. 59 5. Chapter 5 Nanosensors for smartphone-enabled sensing devices - p. 85 6. Chapter 6 Smart and autonomous (self-powered) nanosensor networks - p. 105 7. Chapter 7 Nanosensors for smartphone sensing method - p. 123 8. Chapter 8 Nanotechnology in the space industry - p. 139 9. Chapter 9 Unmanned aerial vehicles (UAVs) for disaster management - p. 159 10. Chapter 10 The role of satellite remote sensing in natural disaster management - p. 189 11. Chapter 11 The synergy of remote sensing and geographical information systems in the management of natural disasters - p. 217 12. Chapter 12 Small satellites for disaster monitoring - p. 231 13. 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 - p. 253 14. Chapter 14 Satellite and aerial remote sensing in disaster management: An introduction - p. 273 15. Chapter 15 Emerging role of unmanned aerial vehicles (UAVs) for disaster management applications - p. 281 16. Chapter 16 Smart remote sensing network for early warning of disaster risks - p. 303 17. Index - p. 325
