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IoT/Bigdata is a hot research topic all over the world in recent years and is expecting to change the world greatly in the near future. Comparing with the data in traditional websites, Bigdata from IoT devices have 4 big V-features, i.e., volume, velocity, variety, and veracity. Due to the above four features, it is hard to provide timely services to users by data analysis, especially with the great...
There are a lot of home appliances and personal computers around us. However, few of the user interfaces are designed on user-centric approaches. In this study, as an interface focusing on the ease of use, we develop a system to control personal computer by applying the natural behavior of human. Research issues include the definition of the association between the PC operations and gestures, the...
Smart grid is recently proposed as an enhancement for the next generation power grid. To achieve efficient status monitoring, control, and billing, a large number of smart meters are deployed and they would produce a huge amount of data. To efficiently collect them imposes a great challenge on the communication networks. In this paper, we study the efficient meter data collection problem by exploring...
In this research, we aim at building an intelligent system that can detect abnormal behavior for the elderly at home. Deployment of RFID tags at home helps us collect the daily movement data of the elderly. The clustering technique is then used to build a personalized model of normal behavior based on these RFID data. After the model is built, any incoming datum outside the model can be seen as abnormal...
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