Internet of Things

Passive Mode for IoT

Addressing the current gap in IoT mode definitions by introducing and analyzing passive mode designations for smart devices

Your Smart Home Exchanged 3M Messages: Defining and Analyzing Smart Device Passive Mode

The constant connectedness of smart home devices and their sensing capabilities pose a unique threat to individuals' privacy. While users may expect devices to exhibit minimal activity while they are not performing their intended functions, this is …

Co-designing Sensorization Plans in the Nursing Home Setting

Perspectives on sensorization in the nursing home among administrators, staff, residents and their family members

PrivacySphere: Privacy-Preserving Smart Spaces

In smart spaces, data flows from sensors through data processing pipelines that interpret and enrich it to realize the needs of diverse applications. Smart space data may also be stored for future analysis and processing to implement new …

GenAIPABench: A Benchmark for Generative AI-based Privacy Assistants

Website privacy policies are often lengthy and intricate. Privacy assistants assist in simplifying policies and making them more accessible and user-friendly. The emergence of generative AI (genAI) offers new opportunities to build privacy assistants …

Efficient Scheduling of Smart Building Energy Systems Using AI Planning

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 …

Co-zyBench

Heating, Ventilation, and Air Conditioning (HVAC) systems account for 40% to 50% of energy usage in commercial buildings, so controlling them while preserving occupants' comfort matters. State-of-the-art solutions use pervasive systems with sensors or smart devices to gauge individual thermal sensations, but assessing those methods is hard: real-world experiments are expensive, limited in access, and often overlook occupant and regional diversity. Co-zyBench is a benchmark tool that takes a Digital Twin (DT) approach to evaluating personalized thermal comfort systems.

Co-zyBench: Using Co-Simulation and Digital Twins to Benchmark Thermal Comfort Provision in Smart Buildings

Heating, Ventilation, and Air Conditioning (HVAC) systems account for 40% to 50% of energy usage in commercial buildings. Thus, innovative ways to control and manage HVAC systems while preserving occupants' comfort are required. State-of-the-art …

DEMSA: a DT-enabled Middleware for Self-adaptive Smart Spaces

Heating, Ventilation, and Air Conditioning (HVAC) systems account for a significant portion of energy consumption within buildings. In order to balance the effect of thermal comfort vis-a-vis energy savings, HVAC control strategies have been …