Geological Disaster Monitoring Based on Sensor Networks

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Durrani, Tariq S. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Wang, Wei (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Forbes, Sheila M. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Springer Natural Hazards,
• Θέματα: Engineering geology.; Engineering-Geology.; Foundations.; Hydraulics.; Geotechnical engineering.; Electrical engineering.; Wireless communication systems.; Mobile communication systems.; Natural disasters.; Geoengineering, Foundations, Hydraulics.; Geotechnical Engineering & Applied Earth Sciences.; Communications Engineering, Networks.; Wireless and Mobile Communication.; Natural Hazards.

This book presents the outcomes of the workshop sponsored by the National Natural Sciences Foundation of China and the UK Newton Fund, British Council Researcher Links. The Workshop was held in Harbin, China, from 14 to 17 July 2017, and brought together some thirty young (postdoctoral) researchers...

Πίνακας περιεχομένων:

• Preface
• Introduction
• Application of Dense Offshore Tsunami Observations from Ocean Bottom Pressure Gauges (OBPGs) for Tsunami Research and Early Warnings
• Remote Sensing for Natural or Man-made Disasters and Environmental Changes
• Classification of Post-Earthquake High Resolution Images using Adaptive Dynamic Region Merging and Gravitational Self-Organizing Maps
• A Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management
• Modelling of Earthquake Hazard and Secondary Effects for Loss Assessment in Marmara (Turkey)
• Unmanned Aerial Vehicles for Disaster Management
• Human Detection based on Radar Sensor Network in Natural Disaster
• Real-time Wind Velocity Monitoring based on Acoustic Tomography
• Intelligent Sub-meter Localization Based on OFDM Modulation Signal
• Conclusions and Final Comments.