Publications: Indoor

Understanding the predictability of user demographics from cyber-physical-social behaviours in indoor retail spaces

Understanding the association between customer demographics and behaviour is critical for operators of indoor retail spaces. This study explores such an association based on a combined understandi

D-Log: A WiFi Log-based differential scheme for enhanced indoorlocalization with single RSSI source and infrequent sampling rate

Currently, large amounts of Wi-Fi access logs are collected in diverse indoor environments, but cannot be widely used for ne-grained spatio-temporal analysis due to coarse positioning. We present

Understanding the predictability of user demographics from cyber-physical-socialbehaviours in indoor retail spaces

Understanding the association between customer demographics and behaviour is critical for operators of indoor retail spaces. This study explores such an association based on a combined understandi

Analyzing Web Behavior in Indoor Retail Spaces

We analyze 18 million rows of Wi-Fi access logs collected over a one year period from over 120,000 anonymized users at an inner-city shopping mall. The anonymized dataset gathered from an optin sy

Transfer Learning for Thermal Comfort Prediction in Multiple Cities

HVAC (Heating, Ventilation and Air Conditioning) system is an important part of a building, which constitutes up to 40% of building energy usage. The main purpose of HVAC, maintaining appropriate

© 2021 Flora Salim - CRUISE Research Group.