PEIR, the Personal Environmental Impact Report, is a participatory sensing application that uses location data sampled from everyday mobile phones to calculate personalized estima...
Min Mun, Sasank Reddy, Katie Shilton, Nathan Yau, ...
This paper develops a navigation service, called GreenGPS, that uses participatory sensing data to map fuel consumption on city streets, allowing drivers to find the most fueleffi...
Raghu K. Ganti, Nam Pham, Hossein Ahmadi, Saurabh ...
A noise map facilitates monitoring of environmental noise pollution in urban areas. It can raise citizen awareness of noise pollution levels, and aid in the development of mitigat...
Rajib Kumar Rana, Chun Tung Chou, Salil S. Kanhere...
— We address the problem of energy efficient sensing by adaptively coordinating the sleep schedules of sensor nodes while guaranteeing that values of sleeping nodes can be recov...
Conditional random fields (CRF) are widely used for predicting output variables that have some internal structure. Most of the CRF research has been done on structured classificati...