TY  - SER
AU  - Cao Huu Quyet
AU  - Dailey,Mathew N.
AU  - Vatcharaporn Esichaikul,
AU  - Lee,Gyu Myoung
AU  - Janecek,Paul
ED  - Ford Foundation International Fellowships  Program (IFP),
TI  - A hybrid semantic energy saving service for cloud-based smart homes
T2  - Thesis
PY  - 2013///
CY  - Pathumthani
PB  - Asian Institute of Technology
KW  - Semantic Web
KW  - Web services
KW  - Energy conservation
N1  - A thesis submitted in partial fulfillment of the requirements for the degree of Master of  Science in Information Management, School of Engineering and Technology; Thesis (M.Sc.) - Asian Institute of Technology, 2013
N2  - 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 ar chitecture 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  compo nents  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 arch itecture
UR  - http://203.159.5.9/ait-thesis/detail.php?q=B03198 
ER  -