scholarly journals Adaptive Compressive Sensing in Smart Water Networks

2015 ◽  
Author(s):  
Sokratis Kartakis ◽  
George Tzagkarakis ◽  
Julie McCann
Keyword(s):  
Compressive Sensing ◽  
Water Networks ◽  
Smart Water

scholarly journals Cyber-Physical Systems for Smart Water Networks: A Review

2021 ◽  
pp. 1-1
Author(s):  
Jyotirmoy Bhardwaj ◽  
Joshin P. Krishnan ◽  
Diego F. Larios Marin ◽  
Baltasar B. Lozano ◽  
Linga R. Cenkeramaddi ◽  
...  
Keyword(s):  
Cyber Physical Systems ◽  
Water Networks ◽  
Physical Systems ◽  
Smart Water

The power of smart water networks

2013 ◽  
Vol 105 (3) ◽  
pp. 72-77 ◽  
Author(s):  
Colin Walsby
Keyword(s):  
Water Networks ◽  
Smart Water

Pipe crack early warning for burst prevention by permanent acoustic noise level monitoring in smart water networks

2020 ◽  
Vol 17 (9) ◽  
pp. 827-837
Author(s):  
Chi Zhang ◽  
Martin F. Lambert ◽  
Mark L. Stephens ◽  
Jinzhe Gong ◽  
Benjamin S. Cazzolato
Keyword(s):  
Early Warning ◽  
Noise Level ◽  
Acoustic Noise ◽  
Water Networks ◽  
Smart Water ◽  
Level Monitoring

scholarly journals Decision Support System for Cyber Attack Diagnosis in Smart Water Networks

2019 ◽  
Vol 51 (34) ◽  
pp. 329-334
Author(s):  
Marcos Quiñones-Grueiro ◽  
Alberto Prieto-Moreno ◽  
Cristina Verde ◽  
Orestes Llanes-Santiago
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Cyber Attack ◽  
Water Networks ◽  
Smart Water

scholarly journals Divide and Conquer Partitioning Techniques for Smart Water Networks

2014 ◽  
Vol 89 ◽  
pp. 1176-1183 ◽  
Author(s):  
A. Di Nardo ◽  
M. Di Natale ◽  
G.F. Santonastaso ◽  
V. Tzatchkov ◽  
V.H. Alcocer Yamanaka
Keyword(s):  
Divide And Conquer ◽  
Water Networks ◽  
Smart Water

scholarly journals On-line Measuring Sensors for Smart Water Network Monitoring

10.29007/4fcr ◽  
2018 ◽  
Author(s):  
Armando Di Nardo ◽  
David Baquero Gonzalez ◽  
Tom Baur ◽  
Romeo Bernini ◽  
Sergio Bodini ◽  
...  
Keyword(s):  
Smart Cities ◽  
Information And Communications Technology ◽  
Divide And Conquer ◽  
Water Networks ◽  
Water Sector ◽  
Water Network ◽  
Network Efficiency ◽  
Smart Meters ◽  
Smart Water ◽  
On Line

Smart cities are getting essential to drive economic growth, increase social prospects and improve high-quality lifestyle for citizens. To meet the goal of smart cities, Information and Communications Technology (ICT) have a key role. The application of smart solutions will allow the cities to use ICT and big data to improve infrastructure and services (i.e. network efficiency, protection from contamination, etc.). In the water sector, the integration of smart meters and sensors coupled with cloud computing and the paradigm of “divide and conquer” introduces a novel and smart management of the water network allowing an efficient online monitoring and transforming the traditional water networks into modern Smart WAter Networks (SWAN). The Ctrl+SWAN (Cloud Technologies & ReaL time monitoring+Smart WAter Network) Action Group (AG) was created within the European Innovation Partnership on Water, in order to promote innovation in the water sector by advancing existing smart solutions. The paper presents an update of a previous work on the state of the art on the best On-line Measuring Sensors (OMS) already available on the market and innovative technologies in the Research and Development (R&D) phases.

scholarly journals Applications of Deep Learning for Smart Water Networks

2015 ◽  
Vol 119 ◽  
pp. 479-485 ◽  
Author(s):  
Zheng Yi Wu ◽  
Mahmoud El-Maghraby ◽  
Sudipta Pathak
Keyword(s):  
Deep Learning ◽  
Water Networks ◽  
Smart Water
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