Open foundation frameworks give a significant number of the administrations that are basic to the wellbeing, working, and security of society. A considerable lot of these frameworks, in any case, need persistent physical sensor checking to have the option to recognize disappointment occasions or harm that has struck these frameworks. We propose the utilization of social sensor enormous information to recognize these occasions. We center around two primary framework frameworks, transportation and vitality, and use information from Twitter streams to identify harm to spans, expressways, gas lines, and power foundation. Through a three step filtering approach and assignment to geographical cells, we are able to filter out noise in this data to produce relevant geo located tweets identifying failure events. Applying the strategy to real world data, we demonstrate the ability of our approach to utilize social sensor big data to detect damage and failure events in these critical public infrastructures.
by Samatha P. K | Dr. Mohamed Rafi ""Expelling Information of Events from Critical Public Space using Social Sensor Big Data""
Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019,
URL: https://www.ijtsrd.com/papers/ijtsrd25350.pdf
Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/25350/expelling-information-of-events-from-critical-public-space-using-social-sensor-big-data/samatha-p-k
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