TY - GEN
T1 - Multi Sensing Platform for Real time Water Monitoring using Electromagnetic Sensor
AU - Alshaltone, Omar
AU - Nasir, Nida
AU - Barneih, Feras
AU - Majali, Eqab A.L.
AU - Al-Shammaa, Ahmed
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - In this paper, a novel technique has been proposed to monitor water quality in real-time, using Electromagnetic (EM) sensor and machine learning techniques. The integrated multi-sensing device can measure various water quality parameters, such as Oxidation Reduction Potential (ORP), Dissolved Oxygen (DO), temperature, pH, flow, carbon dioxide gas (CO2), conductivity, pressure, etc. A Nano-VNA (Vector Network Analyzer) has provided various parameters including S11, operating at frequencies from 50kHz to 3GHz in real-time. Any change in the water samples will be recorded, analyzed, and reported. Employing machine learning techniques and developed datasets (using S11 signal), detection of the water impurities and their levels can be measured. Moreover, the setup is inexpensive, and results can be seen wirelessly on mobile or computer.
AB - In this paper, a novel technique has been proposed to monitor water quality in real-time, using Electromagnetic (EM) sensor and machine learning techniques. The integrated multi-sensing device can measure various water quality parameters, such as Oxidation Reduction Potential (ORP), Dissolved Oxygen (DO), temperature, pH, flow, carbon dioxide gas (CO2), conductivity, pressure, etc. A Nano-VNA (Vector Network Analyzer) has provided various parameters including S11, operating at frequencies from 50kHz to 3GHz in real-time. Any change in the water samples will be recorded, analyzed, and reported. Employing machine learning techniques and developed datasets (using S11 signal), detection of the water impurities and their levels can be measured. Moreover, the setup is inexpensive, and results can be seen wirelessly on mobile or computer.
KW - Machine Learning
KW - Multi Electrode Array
KW - Scattering Parameters
KW - Sensors
KW - Water Quality
UR - https://www.scopus.com/pages/publications/85126782848
U2 - 10.1109/DESE54285.2021.9719474
DO - 10.1109/DESE54285.2021.9719474
M3 - Conference contribution
AN - SCOPUS:85126782848
T3 - Proceedings - International Conference on Developments in eSystems Engineering, DeSE
SP - 174
EP - 179
BT - 2021 14th International Conference on Developments in eSystems Engineering, DeSE 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th International Conference on Developments in eSystems Engineering, DeSE 2021
Y2 - 7 December 2021 through 10 December 2021
ER -