Understanding belief propagation and its generalizations
Exploring artificial intelligence in the new millennium
The Journal of Machine Learning Research
ICOST '09 Proceedings of the 7th International Conference on Smart Homes and Health Telematics: Ambient Assistive Health and Wellness Management in the Heart of the City
Community-based game design: experiments on social games for commonsense data collection
Proceedings of the ACM SIGKDD Workshop on Human Computation
ViridiScope: design and implementation of a fine grained power monitoring system for homes
Proceedings of the 11th international conference on Ubiquitous computing
UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
Constructing free-energy approximations and generalized belief propagation algorithms
IEEE Transactions on Information Theory
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In the past decades, the amount of electricity used by appliances has grown dramatically. As we are demanding more electricity, we should lower the damage to our environment by using energy efficiently. Conservation of energy by looking at one's habits and notifying them to turn off unnecessary appliances can help out a lot. This research develop a framework, which is able to recognize the operating state of every electrical appliance in a house and figure current user activity. By analyzing the behavior of using appliances, the correlation between activity and appliance can help to detect the nonessential appliance, which is the appliance does not participate in any user activity. The real user experimental results show 96.43% in recognizing the operating state of appliances and 72.66% in detecting nonessential appliances.