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A portal is developed using open source tool called Liferay for water management and city management using data acquired from sensors deployed in overhead water tanks and across the city at different locations. The parameters captured from sensors are water level and parameters captured sensors deployed across the city include dust, UV, temperature, light, humidity, sound and air quality. Data generated by these sensors amounts nearly megabytes of data per day and gigabytes on an annual rate. Real time analytics help in monitoring and management of water resources and rate of pollution across the city. Visualizations are provided in the form of a time series graph. The visual representations are plotted using d3.js graphs in real-time, hence allowing the users to take corrective decisions with respect to water usage and managing pollution across the city.
Ranjitha P. 2015. \u201cStreaming Analytics Over Real-Time Big Data\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 15 (GJCST Volume 15 Issue C5): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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Total Score: 101
Country: India
Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering
Authors: Ranjitha P (PhD/Dr. count: 0)
View Count (all-time): 283
Total Views (Real + Logic): 8143
Total Downloads (simulated): 2134
Publish Date: 2015 07, Fri
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A portal is developed using open source tool called Liferay for water management and city management using data acquired from sensors deployed in overhead water tanks and across the city at different locations. The parameters captured from sensors are water level and parameters captured sensors deployed across the city include dust, UV, temperature, light, humidity, sound and air quality. Data generated by these sensors amounts nearly megabytes of data per day and gigabytes on an annual rate. Real time analytics help in monitoring and management of water resources and rate of pollution across the city. Visualizations are provided in the form of a time series graph. The visual representations are plotted using d3.js graphs in real-time, hence allowing the users to take corrective decisions with respect to water usage and managing pollution across the city.
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