A Smart Waste Management with Self-Describing Complex Objects

Yann Glouche 1 Arnab Sinha 2 Paul Couderc 1
1 TACOMA - TAngible COMputing Architectures
IRISA-D2 - RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES, Inria Rennes – Bretagne Atlantique
2 MYRIADS - Design and Implementation of Autonomous Distributed Systems
IRISA-D1 - SYSTÈMES LARGE ÉCHELLE, Inria Rennes – Bretagne Atlantique
Abstract : Radio Frequency Identification (RFID) is a perva-sive computing technology that can be used to improve wastemanagement by providing early automatic identification of wasteat bin level. In this paper, we have presented a smart binapplication based on information self-contained in tags associatedto each waste item. The wastes are tracked by smart bins using aRFID-based system without requiring the support of an externalinformation system. Two crucial features of the selective sortingprocess can be improved by using this approach. First, the useris helped in the application of selective sorting. Second, the smartbin knows its content up to the precision of composed materialsby types and percentage. It can report back with its status orabnormalities to the rest of the recycling chain. Complex objectslike e-waste, hazardous ones, etc. can also be sorted and detectedfor hazards with the self-describing approach.
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Article dans une revue
International Journal On Advances in Intelligent Systems, IARIA, 2015, International Journal on Advances in Intelligent Systems, 8 (1 & 2), pp.1 to 16. 〈https://www.thinkmind.org/index.php?view=instance&instance=IntSys+v8+n12+2015〉
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Yann Glouche, Arnab Sinha, Paul Couderc. A Smart Waste Management with Self-Describing Complex Objects. International Journal On Advances in Intelligent Systems, IARIA, 2015, International Journal on Advances in Intelligent Systems, 8 (1 & 2), pp.1 to 16. 〈https://www.thinkmind.org/index.php?view=instance&instance=IntSys+v8+n12+2015〉. 〈hal-01198382〉

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