The on-street parking system is an indispensable part of civil projects, which provides travellers and shoppers with parking spaces. With the recent in-ground sensors deployed throughout the city

Research on building and room occupancy counting is becoming more important. By understanding and knowing the numbers of people within a building, the heating, cooling, lighting control, building e

The on-street parking system is an indispensable part of civil projects, which provides travellers and shoppers with parking spaces. With the recent in-ground sensors deployed throughout the city

Human occupancy information is crucial for any modern Building Management System (BMS). Implement- ing pervasive sensing and leveraging Carbon Dioxide data from BMS sensor, we present Carbon Dioxide

Smartphones, wearables, and Internet of Things (IoT) devices produce a wealth of data that cannot be accumulated in a centralized repository for learning supervised models due to privacy, bandwid

Human occupancy counting is crucial for both space utilisation and building energy optimisation. In the current article, we present a semi-supervised domain adaptation method for carbon dioxide -

Unsafe driving behaviours can put the driver himself and other people participating in the trac at risk. Smart-phones with builtin inertial sensors oer a convenient way to passively monitor the

With the increasing popularity of Wireless Sensor Networks (WSN), indoor localization has become a key research challenge, since it is crucial to locate the sensors in order to analyze the sensor

With advancement in sensors and Internet of Things, gathering spatiotemporal information from one’s surroundings has become easier, to an extent that we can start to use sensor data to infer in

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,

OVer the past decade, there has been an upward trend for the adoption of open-plan offices [1], [2], [3] in the corporate sector. This trend shift is often associated with a drive to save space,

In this paper,we focus on developing a model and system for predicting the city foot traffic. We utilise historical records of pedestrian counts captured with thermal and laser-based sensors insta

Multi-activity recognition in the urban environment is a challenging task. This is largely attributed to the influence of urban dynamics, the variety of the label sets, and the heterogeneous natur

In this paper, we focus on simultaneous inference of transportation modes and human activities in daily life via modelling and inference from multivariate time series data, which are streamed from

This paper presents a smartphone app connected to a sensor cloud for spatio-temporal management and 3D visualization of data from ad-hoc wireless sensor networks (WSN) and Internet of Things (IoT

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

For workers in extreme environments, such as firefighters, thermal protective clothing is essential to protect them from exposures to high heat and life threatening risks. This study will investi

Internet of Things (IoT) represents a cyberphysical world where physical things are interconnected on the Web. This paper presents an architecture designed for Energy-efficient Inter-organization

The pervasive computing era has seen sensor and actuator technologies integrated into the design of kinetic building skins. This paper presents an investigation of a new soft kinetic material tha

Human occupancy information is crucial for any modern Building Management System (BMS). Implementing pervasive sensing and leveraging Carbon Dioxide data from BMS sensor, we present large Room Uti