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Urban computing in the wild: A survey on large scale participationand citizen engagement with ubiquitous computing, cyber physical systems,and Internet of Things

With today’s ubiquitous computing technologies, our daily activities are continuously traced by smartphones in our pockets and more of our everyday things are now connected to the Internet. This

Urban computing in the wild large scale participationand citizen engagement ubiquitous computing cyber physical systems Internet of Things urban Ubiquitous cyber-physical IoT

Modelling dynamics of urban mobility for predictive surveillance of crime

The study of urban dynamics is to understand and analyse the dynamic properties of a city in the spatio-temporal domain. It includes the daily routines of the inhabitants, their movement patterns, g

human mobility Prediction Modelling Optimization Crime Data Mining Pattern Recognition and Data Mining ubiquitous computing Database Management mobility Pattern recognition Data Mining

Context-aware mobility analytics and trip planning

The study of user mobility is to understand and analyse the movement of individuals in the spatial and temporal domains. Mobility analytics and trip planning are two vital components of user mobilit

Context-aware Mobility Accessible trip planning Wait time prediction Queue context prediction Heterogeneous data fusion Machine Learning Predictive analytics ubiquitous computing Pattern recognition Data Mining Trip Planning context data fusion Information Systems Analysis

Situation inference and context recognition for intelligent mobile sensing applications

The usage of smart devices is an integral element in our daily life. With the richness of data streaming from sensors embedded in these smart devices, the applications of ubiquitous computing are li

situation inference context recognition mobile sensing intelligent assistant activity recognition task intelligence pervasive sensing ubiquitous system intelligent sensing ubiquitous computing Database Management sensing mobile

Building utilisation analytics: human occupancy counting and thermal comfort prediction with ambient sensing

With advancement in sensors and the Internet of Things, gathering spatiotemporal information from one’s surroundings has become more convenient. There are multiple phenomenological behaviours,

Machine Learning ambient sensing building occupancy artificial intelligence Carbon Dioxide presence detection Thermal Comfort Prediction human occupancy counting sensor smart home ubiquitous computing sensing big data smart building Decision Support Occupancy Prediction ambient sensors sensor Analysis

Learning spatiotemporal patterns for monitoring smart cities and infrastructure

Recent advances in the Internet of Things (IoT) have changed the way we interact with the world. The ability to monitor and manage objects in the physical world electronically makes it possible to b

Smart city Device-Free Pattern recognition Spatiotemporal data Parking Trajectory Pattern Recognition and Data Mining ubiquitous computing Analysis of Algorithms and Complexity device Ubiquitous Data Mining city Complexity trajectory Spatiotemporal

UTE: A Ubiquitous Data Exploration Platform for Mobile Sensing Experiments

In this paper, we present Ubiquitous daTa Exploration (UTE), a mobile sensor data collection, annotation and exploration platform. Our platform facilitates rapid prototyping of data mining experi

Mobile Sensing Experiments Data Exploration mobile sensing sensor ubiquitous computing

Context-Aware Ubiquitous Data Mining Based Agent Model for Intersection Safety

In USA, 2002, approximately 3.2 million intersection-related crashes occurred, corresponding to 50 percent of all reported crashes. In Japan, more than 58 percent of all traffic crashes occur at i

Context-Aware Ubiquitous Data Mining Ubiquitous Intersection Safety ubiquitous computing context vehicle

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Publications: ubiquitous computing