Smart Bin for Incompatible Waste Items

Arnab Sinha 1 Paul Couderc 1
1 ACES - Ambient computing and embedded systems
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : In this paper, we present a generalized ontology based system to identify the necessary properties of products and objects and then make inferences of possible incompatibilities between them. This is designed in the context of waste management, where considerable volume of waste is present collectively and there may be chances of hazard or reduces the value of the recyclable waste. These inferences for the group of objects are performed based on the knowledge available locally without looking up from any external sources. Since, the global identification of objects is avoided, preservation of privacy is ensured, which is a concern in the field of pervasive computing. Our model can have applications in various domains. We have demonstrated it's application in the domain of waste management and discussed about other possible domains.
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Communication dans un congrès
ICAS 2013, The Ninth International Conference on Autonomic and Autonomous Systems, Mar 2013, Lisbon, Portugal. pp.40-45, 2013, 〈http://www.thinkmind.org/index.php?view=article&articleid=icas_2013_2_20_20010〉
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Arnab Sinha, Paul Couderc. Smart Bin for Incompatible Waste Items. ICAS 2013, The Ninth International Conference on Autonomic and Autonomous Systems, Mar 2013, Lisbon, Portugal. pp.40-45, 2013, 〈http://www.thinkmind.org/index.php?view=article&articleid=icas_2013_2_20_20010〉. 〈hal-00924443〉

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