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DEMO: Web-CozyBench - A Web-Based Platform to Benchmark Thermal Comfort Provision using Digital Twins

Web-CozyBench is a web-based benchmarking platform built on Co-zyBench to evaluate occupant-centric HVAC control systems using Digital Twin simulations. It provides a GUI for defining building and occupant scenarios, selecting control strategies, …

DigiGuide: A DT-based Occupant Guiding System for Optimizing Comfort and Energy Consumption

This paper presents DigiGuide, an innovative system that leverages Digital Twin (DT) methodologies combined with multi-objective optimization algorithms to guide occupants to spaces that best meet their multi-variant comfort needs. DigiGuide …

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-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 …

GENAIPABENCH: A Benchmark for Generative AI-based Privacy Assistants

In the age of data-driven technology, privacy has emerged as a critical concern for both users and organizations. Privacy policies are widely used to outline the data management practices of a company. However, it has been demonstrated that privacy …

PrivacyLens: A Framework to Collect and Analyze the Landscape of Past, Present, and Future Smart Device Privacy Policies

As the adoption of smart devices continues to permeate all aspects of our lives, concerns surrounding user privacy have become more pertinent than ever before. While privacy policies define the data management practices of their manufacturers, …

One-Shot Federated Group Collaborative Filtering

Non-negative matrix factorization (NMF) with missing-value completion is a well-known effective Collaborative Filtering (CF) method used to provide personalized user recommendations. However, traditional CF relies on a privacy-invasive collection of …

Sentaur: Sensor Observable Data Model for Smart Spaces

This paper presents Sentaur, a middleware designed, built, and deployed to support sensor-based smart space analytical applications. Sentaur supports a powerful data model that decouples semantic data (about the application domain) from sensor data …

SmartSPEC: Customizable Smart Space Datasets via Event-Driven Simulations

This paper presents SmartSPEC, an approach to generate customizable smart space datasets with information about sensorized spaces in which people and events are em- bedded. Smart space datasets are critical to design, deploy and evaluate robust …