An Implementation of Internet-connected Indoor Dust Bin Waste Level Monitoring System for Office Use
The paper discusses an implementation of an internet-connected monitoring system to optimize waste collection within office space environment. The implementation consists of four parts – the physical dustbin module, network, middleware and user interface. The implementation uses NodeMCU board with...
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Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis
2019
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oai:doaj.org-article:9381003df9fc4e96a9464f54bcc961c42021-11-06T02:24:40ZAn Implementation of Internet-connected Indoor Dust Bin Waste Level Monitoring System for Office Use2600-8793https://doaj.org/article/9381003df9fc4e96a9464f54bcc961c42019-11-01T00:00:00Zhttp://repeater.my/index.php/jcrinn/article/view/127https://doaj.org/toc/2600-8793 The paper discusses an implementation of an internet-connected monitoring system to optimize waste collection within office space environment. The implementation consists of four parts – the physical dustbin module, network, middleware and user interface. The implementation uses NodeMCU board with embedded microcontroller to sense and transmit waste level data to a middleware over 802.11 wireless network, while the middleware aggregate data from all registered dustbins within the office area. The aggregated data is then stored in a database server for further analysis. The web-based user interface is used to monitor the dustbins waste level as well as historical data report. This information is vital for waste level management planning and prediction. Additionally, a Technology Acceptance Model survey result has shown that the monitoring system is perceived to be easy to use and useful for office management in monitoring and managing their waste. Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA PerlisarticleProbabilities. Mathematical statisticsQA273-280TechnologyTTechnology (General)T1-995ENJournal of Computing Research and Innovation, Vol 4, Iss 2 (2019) |
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Probabilities. Mathematical statistics QA273-280 Technology T Technology (General) T1-995 |
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Probabilities. Mathematical statistics QA273-280 Technology T Technology (General) T1-995 An Implementation of Internet-connected Indoor Dust Bin Waste Level Monitoring System for Office Use |
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The paper discusses an implementation of an internet-connected monitoring system to optimize waste collection within office space environment. The implementation consists of four parts – the physical dustbin module, network, middleware and user interface. The implementation uses NodeMCU board with embedded microcontroller to sense and transmit waste level data to a middleware over 802.11 wireless network, while the middleware aggregate data from all registered dustbins within the office area. The aggregated data is then stored in a database server for further analysis. The web-based user interface is used to monitor the dustbins waste level as well as historical data report. This information is vital for waste level management planning and prediction. Additionally, a Technology Acceptance Model survey result has shown that the monitoring system is perceived to be easy to use and useful for office management in monitoring and managing their waste.
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format |
article |
title |
An Implementation of Internet-connected Indoor Dust Bin Waste Level Monitoring System for Office Use |
title_short |
An Implementation of Internet-connected Indoor Dust Bin Waste Level Monitoring System for Office Use |
title_full |
An Implementation of Internet-connected Indoor Dust Bin Waste Level Monitoring System for Office Use |
title_fullStr |
An Implementation of Internet-connected Indoor Dust Bin Waste Level Monitoring System for Office Use |
title_full_unstemmed |
An Implementation of Internet-connected Indoor Dust Bin Waste Level Monitoring System for Office Use |
title_sort |
implementation of internet-connected indoor dust bin waste level monitoring system for office use |
publisher |
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis |
publishDate |
2019 |
url |
https://doaj.org/article/9381003df9fc4e96a9464f54bcc961c4 |
_version_ |
1718443995064958976 |