Accurate occupancy information in commercial buildings can enable several useful
applications such as energy management and dynamic seat allocation. Most prior efforts in …

At present there is significant research interest in simulating building environment with
artificial agents and predicting energy usage and other building performance related factors …

Studies indicate that occupancy-related energy-use behaviors have a significant influence
on overall energy consumption in commercial buildings. In this context, understanding and …

In this paper, we present a room-level building occupancy estimation system (BOES)
utilizing low-resolution vibration sensors that are sparsely distributed. Many ubiquitous …

In recent years, research in IoT-enabled smart building solutions has accelerated
significantly, thanks to the coming of age of wireless distributed sensing hardware, protocols …

Occupancy estimation in public busses is growing in importance due to its usefulness in
planning public transport systems effectively. Bus occupancy data can be used in real time …

Office buildings are key energy consumers and thus require attention to achieve efficient
operation. While individual office spaces are dynamically used, current building automation …

We present a mobile crowdsensing approach for urban WiFi characterization that leverages
commodity smartphones and the natural mobility of people. Specifically, we report …

The COVID-19 pandemic requires social distancing to prevent transmission of the virus.
Monitoring social distancing is difficult and expensive, especially in" travel corridors" such as …

Estimation of occupancy counts in commercial and institutional buildings enables enhanced
energy-use management and workspace allocation. This paper presents the analysis of cost …