Development of a Self-adapting Intelligent System for Building Energy Saving and Context-aware Smart Services. This paper appears in: Consumer Electronics, IEEE Transactions on Issue Date : February 2011 . Author : Jinsung Byun and Sehyun Park. Reporter: 戴邵賢. OutLine. Introduction
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This paper appears in: Consumer Electronics, IEEE Transactions onIssue Date : February 2011
Author : JinsungByun and Sehyun Park
provided to a user under a given situation
The PM manages the generated patterns
Sensing Manager (SM)
Mining Manager (MM)
The SDC plays an important role in service creation, service decision, service execution, service configuration, and service management
The correlates the current situation with the pattern in order to search for the appropriate pattern.
The DM analyzes the current user’s situation and surroundings
Events/data sensed by each node are aggregated by H-SIS and then transmitted to the SIG
The SIG then analyses the user’s state and environmental patterns from the transmitted events/data
The results show that the power saving using our system with fixed-threshold-based control and with DPG and AMA is approximately 6-18% and 16-24% respectively, depending on the number of SISs.
ESSN-NTIR gradually decreases the slope of the service response time due to reduction in packet collision and packet loss.
ESSN-NTIR enhanced the average number of packet transmissions, about 46% and 21%.