Long queues in retail and public environments can frustrate customers and negatively impact user experiences. Traditional camera-based monitoring systems are effective in analyzing queues, however, the potential for identification raises privacy …
Several of the group’s systems are deployed and evaluated on UMBC’s campus, which doubles as a living testbed for research on IoT data management and privacy. This page collects that campus-deployment work; new deployments are added here as they are published.
Buildings account for a significant share of global energy consumption, with Heating, Ventilation, and Air Conditioning (HVAC) systems being responsible for up to 60% of a building's energy usage. For this purpose, existing scheduling and control …
Heating, ventilation and air conditioning accounts for roughly 40–60% of a building’s energy use, yet the reason to run it at all is the comfort of the people inside. Pervasive and mobile computing makes it possible to sense individual thermal sensations and manage HVAC around them, but evaluating such systems is hard: real-world experiments are expensive, slow, privacy-sensitive and rarely cover the diversity of occupants and climates, while simulations have to be shown to reflect reality.
Smart space administration and application development is challenging in part due to the semantic gap that exists between the high-level requirements of users and the low-level capabilities of IoT devices. The stakeholders in a smart space are …
This paper describes a middleware framework for IoT smart spaces, SemIoTic, that provides application developers and end-users with the semantic domain-relevant view of the smart space, hiding the complexity of having to deal with/understand …
This demonstration showcases the SemIoTic middleware which provides inhabitants of an IoT space, as well as developers of applications, with a semantic view of the space. Participants will have an opportunity to see how useful IoT applications can be …