Towards an IOT Based System for Detection and Monitoring of Microplastics in Aquatic Environments

Chaczko, Z; Kale, A; Santana-Rodriguez, JJ; Suarez-Araujo, CP

Towards an IOT Based System for Detection and Monitoring of Microplastics in Aquatic Environments

Chaczko, Z

Kale, A Santana-Rodriguez, JJ Suarez-Araujo, CP

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Publication Type:: Conference Proceeding
Citation:: INES 2018 - IEEE 22nd International Conference on Intelligent Engineering Systems, Proceedings, 2018, pp. 000057 - 000062
Issue Date:: 2018-11-05

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Field	Value	Language
dc.contributor.author	Chaczko, Z https://orcid.org/0000-0002-2816-7510	en_US
dc.contributor.author	Kale, A	en_US
dc.contributor.author	Santana-Rodriguez, JJ	en_US
dc.contributor.author	Suarez-Araujo, CP	en_US
dc.date.issued	2018-11-05	en_US
dc.identifier.citation	INES 2018 - IEEE 22nd International Conference on Intelligent Engineering Systems, Proceedings, 2018, pp. 000057 - 000062	en_US
dc.identifier.isbn	9781538611227	en_US
dc.identifier.uri	http://hdl.handle.net/10453/134107
dc.description.abstract	© 2018 IEEE. Monitoring presence of micro-plastics in the ocean and fresh waters is an important research topic due to a need to preserve marine ecosystem. Microplastics represent threats to living organisms, producing harmful effects, ultimately also having an impact on humans through the food-chain. Use of laboratory-based and in situ techniques do help in investigating density and scale of this kind of pollutants. The in-situ sensing techniques are gaining popularity due to automation and continuous availability. These techniques though need an accurate hardware and efficient computing model to achieve desired success. Here, we propose an IoT based system called 'SmartIC' using specialized sensors and intelligent computing tools, specifically designed for in-situ monitoring of microplastics in natural aquatic environments. This paper is focused on system architecture, monitoring process and outline of experimental work. The initial research provides very promising results. A further course of the investigation with validation will be conducted in future to establish the proposed system completely.	en_US
dc.relation.ispartof	INES 2018 - IEEE 22nd International Conference on Intelligent Engineering Systems, Proceedings	en_US
dc.relation.isbasedon	10.1109/INES.2018.8523957	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Towards an IOT Based System for Detection and Monitoring of Microplastics in Aquatic Environments	en_US
dc.type	Conference Proceeding
utslib.for	0805 Distributed Computing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2018 IEEE. Monitoring presence of micro-plastics in the ocean and fresh waters is an important research topic due to a need to preserve marine ecosystem. Microplastics represent threats to living organisms, producing harmful effects, ultimately also having an impact on humans through the food-chain. Use of laboratory-based and in situ techniques do help in investigating density and scale of this kind of pollutants. The in-situ sensing techniques are gaining popularity due to automation and continuous availability. These techniques though need an accurate hardware and efficient computing model to achieve desired success. Here, we propose an IoT based system called 'SmartIC' using specialized sensors and intelligent computing tools, specifically designed for in-situ monitoring of microplastics in natural aquatic environments. This paper is focused on system architecture, monitoring process and outline of experimental work. The initial research provides very promising results. A further course of the investigation with validation will be conducted in future to establish the proposed system completely.

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http://hdl.handle.net/10453/134107