TY  - BOOK
AU  - Leung,Henry
AU  - Chandra Mukhopadhyay,Subhas
ED  - SpringerLink (Online service)
TI  - Intelligent Environmental Sensing
T2  - Smart Sensors, Measurement and Instrumentation,
SN  - 9783319128924
AV  - TK7800-8360 
U1  - 621.381 23
PY  - 2015///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - engineering
KW  - electronics
KW  - Microelectronics
KW  - Engineering
KW  - Electronics and Microelectronics, Instrumentation
KW  - Signal, Image and Speech Processing
KW  - Environmental Monitoring/Analysis
N1  - Sensing Technologies for Intelligent Environments: A Review -- Micro Motes: A Highly Penetrating Probe for Inaccessible Environments -- A Multi-Sensor Smart System for Vulcanic Ash Monitoring -- Portable High Frequency Surface Wave Radar OSMAR-S -- Using Motion Sensor for Landslide Monitoring and Hazard Mitigation.-Distributed Intelligent Monitoring System for Water Environment -- Application to Environmental Surveillance: Dynamic Image Estimation Fusion and Optimal Remote Sensing with Fuzzy Integral -- Precision Cultivation System for Greenhouse Production -- Environment Monitoring System Based on IEEE 1451 Standards -- Application for Wireless Sensor Networks Technology for Induction Motor Monitoring in Industrial Environments -- Advanced Monitoring System on Debris Flow Hazards
N2  - Developing environmental sensing and monitoring technologies become essential especially for industries that may cause severe contamination. Intelligent environmental sensing uses novel sensor techniques, intelligent signal and data processing algorithms, and wireless sensor networks to enhance environmental sensing and monitoring. It finds applications in many environmental problems such as oil and gas, water quality, and agriculture. This book addresses issues related to three main approaches to intelligent environmental sensing and discusses their latest technological developments. Key contents of the book include:   Agricultural monitoring Classification, detection, and estimation Data fusion Geological monitoring Motor monitoring Multi-sensor systems Oil reservoirs monitoring Sensor motes Water quality monitoring Wireless sensor network protocol  
UR  - http://dx.doi.org/10.1007/978-3-319-12892-4
ER  -