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IoT Based Real-time...
IoT Based Real-time River Water Quality Monitoring System
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- Chowdury, Mohammad Salah Uddin (author)
- BGC Trust University Bangladesh, Chandanaish, Chittagong-4381, Bangladesh
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- Bin Emranb, Talha (author)
- BGC Trust University Bangladesh, Chandanaish, Chittagong-4381, Bangladesh
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- Ghosha, Subhasish (author)
- BGC Trust University Bangladesh, Chandanaish, Chittagong-4381, Bangladesh
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- Pathak, Abhijit (author)
- BGC Trust University Bangladesh, Chandanaish, Chittagong-4381, Bangladesh
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- Alama, Mohd. Manjur (author)
- BGC Trust University Bangladesh, Chandanaish, Chittagong-4381, Bangladesh
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- Absar, Nurul (author)
- BGC Trust University Bangladesh, Chandanaish, Chittagong-4381, Bangladesh
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- Andersson, Karl, 1970- (author)
- Luleå tekniska universitet,Datavetenskap
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- Hossain, Mohammad Shahadat, 1968- (author)
- University of Chittagong, Bangladesh
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(creator_code:org_t)
- Elsevier, 2019
- 2019
- English.
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In: Procedia Computer Science. - : Elsevier. - 1877-0509. ; 155, s. 161-168
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https://doi.org/10.1...
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https://ltu.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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Abstract
Subject headings
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- Current water quality monitoring system is a manual system with a monotonous process and is very time-consuming. This paper proposes a sensor-based water quality monitoring system. The main components of Wireless Sensor Network (WSN) include a microcontroller for processing the system, communication system for inter and intra node communication and several sensors. Real-time data access can be done by using remote monitoring and Internet of Things (IoT) technology. Data collected at the apart site can be displayed in a visual format on a server PC with the help of Spark streaming analysis through Spark MLlib, Deep learning neural network models, Belief Rule Based (BRB) system and is also compared with standard values. If the acquired value is above the threshold value automated warning SMS alert will be sent to the agent. The uniqueness of our proposed paper is to obtain the water monitoring system with high frequency, high mobility, and low powered. Therefore, our proposed system will immensely help Bangladeshi populations to become conscious against contaminated water as well as to stop polluting the water.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Keyword
- Water quality monitoring
- Sensors
- Big Data Analytics System
- Internet of Things
- Real-time
- Pervasive Mobile Computing
- Distribuerade datorsystem
Publication and Content Type
- ref (subject category)
- art (subject category)
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