A5062676924- Privacy-Preserving Technologies in Data
- Mobile Crowdsensing and Crowdsourcing
- Building Energy and Comfort Optimization
- Air Quality Monitoring and Forecasting
- Video Surveillance and Tracking Methods
- Noise Effects and Management
- Health, Environment, Cognitive Aging
- Vehicular Ad Hoc Networks (VANETs)
- Context-Aware Activity Recognition Systems
- Urban Design and Spatial Analysis
- Evacuation and Crowd Dynamics
- Privacy, Security, and Data Protection
- Safety Warnings and Signage
- Impact of Light on Environment and Health
- Flexible and Reconfigurable Manufacturing Systems
- Digital Transformation in Industry
- Facilities and Workplace Management
- Tactile and Sensory Interactions
- Manufacturing Process and Optimization
- Data Quality and Management
University of Southern Denmark
2018-2022
Maersk (Denmark)
2019-2022
Water Authority of Jordan
2021
This paper introduces a database of 34 field-measured building occupant behavior datasets collected from 15 countries and 39 institutions across 10 climatic zones covering various types in both commercial residential sectors. is comprehensive global about behavior. The includes occupancy patterns (i.e., presence people count) behaviors interactions with devices, equipment, technical systems buildings). Brick schema models were developed to represent sensor room metadata information. publicly...
The research areas of occupant sensing and behavior modeling are lacking comprehensive public datasets for providing baseline results fostering data-driven approaches. This data descriptor covers a dataset collected via sensors on room-level counts together with related indoor environmental quality. comprises 44 full days, collated in the period March 2018 to April 2019, was building Northern Europe. Sensor readings cover three rooms, including one lecture room two study zones. release...
The area of occupant sensing is lacking public datasets to baseline and foster data-driven research. This abstract describes a dataset covering room-level counts, in-room ventilation airflow CO2 data from an office building. can among others be used for developing evaluating algorithms building analytics.
The recent Industry 4.0 (I4.0) initiative has a heavy focus on enabling flexible production, such that production systems can react dynamically and cost-effectively to respond market needs. For this reason, we need demonstration facilities advance research within the I4.0 promote advanced processes for industries. This paper aims introduce setup have developed our University's Laboratory (I4.0 lab) enables experiments in terms of use-cases with both robotics automated solutions software....
Low-cost sensors are being installed in smart buildings to gather large amounts of sensor data on building operation and occupant comfort. These enables the development data-driven applications analysis use. Many such cross-organizational because shared between a owner contractor that works with at different spatial granularities, e.g., an open plan office or heating ventilation air conditioning (HVAC) zone. This is challenge as 1) sharing its original form can reveal performance indexes...
The ability to accurately estimate the presence and counts of occupants inside a monitored area has many notable compelling applications, e.g., efficient space utilization, intelligent building operations, comfortable indoor environment, safety, evacuation. Significant research on design approaches methods have been implemented extrapolate rich information occupant behavior actions. However, these are evaluated based subset divergent data collected from heterogeneous sensing modalities...
In a modern smart building, many aspects of the use can be monitored using sensing technologies. This enables high number data-driven applications used for tasks, such as indoor comfort, energy efficiency, and space utilization. Open data sharing more robust optimizing building operations. To enable effort, there is need performing privacy risk assessment analyzing inherent potential ethical risks that posed occupants organization operating in building. It increasingly difficult to identify...
A key piece of information when maintaining and developing the built environment is quantified about human behavior to understand usage. The digitalisation our society including mobile, wearable Internet Things devices availability low-cost sensors opens up new possibilities for mapping its context via objective sensor data. However, gain full potential using resources on requires that data not collected single open paradigm prescribes a method going beyond one-time collection. In this...