2016/2017
Cluster segregation for indoor and outdoor environmental monitoring system
Proceedings - 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016: 1264-1269,
| Author(s) | Xu Yang/
Erchen Xie/ Laurie Cuthbert |
|---|---|
| Summary | In this paper we describe an environmental system that has been developed to provide monitoring of pollutants. Unlike other work in the literature this system allows the collection and location-pinning of data to be carried out indoors as well as outdoors. The mixed indoor and outdoor data collected from different users can be classified into individual category using K-Means algorithm for further data analysis and visualization. Additionally implemented on a smartphone, such system could provide essential information on the air quality in a system, and feed data into an overall monitoring system as well as provide spot information to the user. |