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A Hybrid Semantic Energy Saving Service for Cloud-Based Smart Homes

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dc.contributor.advisor Dr. Matthew Dailey (Chairperson)
dc.contributor.author Cao, Quyet
dc.contributor.other Dr. Vatcharaporn Esichaikul (Member) Dr. Paul Janecek (Member)
dc.date.accessioned 2015-02-03T01:46:25Z
dc.date.available 2015-02-03T01:46:25Z
dc.date.issued 2013-05
dc.identifier.other AIT Thesis no.IM-13-02 en_US
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/719
dc.description.abstract Finding the solutions for reducing energy consumption in smart homes is significant because of global warming problems nowadays. The main aim of this research is to propose a hybrid semantic energy saving service for Cloud-based smart homes. It firstly mentions the architecture cooperating with the Cloud for smart homes. The architecture not only adapt existing solution inside the home, connecting between home gateway and devices though home network using Device Profile for Web service (DPWS), but also define new components of semantic platform on the Cloud where Energy producer, Service provider and existing data source integrated together to provide services for home. It then goes in detail hybrid energy saving service based on the architecture. In the first approach, it visualizes the energy consumption of device, home, and system context in order to support consumers make decision to manual control the devices for energy saving. The core technique of second approach is energy saving rules. It is created from device, home, and system energy saving policies so that proposed system can automatically control the device status following these pre-defined rules. Moreover, in the third part of hybrid approach, it may find out possible periodic and sequential patterns of user behaviors and automatically converts to the automatic rules which will be used in the second approach. Thus, the service has the ability to self-adapt and personalize. Finally, the prototype is developed to implement the proposed service based on the architecture. en_US
dc.description.sponsorship Ford Foundation International Fellowships Program(IFP) en_US
dc.publisher AIT en_US
dc.subject Energy saving, Semantic web, Web Service, DPWS, Cloud, Hybrid. en_US
dc.title A Hybrid Semantic Energy Saving Service for Cloud-Based Smart Homes en_US
dc.type Thesis en_US

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