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Full Description
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.
Contents
SECTION 1 Nanotechnology for Disaster Prevention
1. Application of nanotechnology in disaster prevention: an introduction
2. Nanomaterials for construction building products designed to withstand natural disasters
3. Nano-sensors and nano-devices for biological disaster monitoring (virus/disease epidemics/animal plagues detections)
4. Wireless sensor networks and IoT for disaster management
5. Nanosensors for Smartphone Enabled Sensing Devices
6. Smart and autonomous (self-powered) nanosensor networks
7. Nano sensors for smartphone sensing method
SECTION 2 Space Technology for Disaster Prevention
8. Nanotechnology in the space industry
9. Unmanned Aerial Vehicles (UAVs) for Disaster Management
10. The synergy of satellite remote sensing and Geographical Information Systems in natural disaster management
11. Small satellites for disaster monitoring
12. A comparative study of deep learning-based time-series forecasting techniques for fine-scale urban extreme heat prediction using Internet of Things observations
13. Satellite and aerial remote sensing in disaster managements: an introduction
14. Emerging Role of Unmanned Aerial Vehicles (UAVs) for Disaster Management Applications
15. Smart remote sensing network for early warning of disaster risks
