Outputs (17)

Comparing different approaches of agent-based occupancy modelling for predicting realistic electricity consumption in office buildings (2023)
Journal Article

Having a good grasp on modelling the dynamics of occupants for estimating electricity consumption in office buildings is a vital asset for realistic predictions. Nowadays, agent-based models are widely used for this purpose. Previous approaches to mo... Read More about Comparing different approaches of agent-based occupancy modelling for predicting realistic electricity consumption in office buildings.

Error characteristics of a model-based integration approach for fixed-wing unmanned aerial vehicles (2021)
Journal Article

The paper presents the error characteristics of a vehicle dynamic model (VDM)-based integration architecture for fixed-wing unmanned aerial vehicles. Global navigation satellite system (GNSS) and inertial measurement unit measurements are fused in an... Read More about Error characteristics of a model-based integration approach for fixed-wing unmanned aerial vehicles.

Demonstrating the potential of indoor positioning for monitoring building occupancy through ecologically valid trials (2021)
Journal Article

Assessing building performance related to energy consumption in post-design-occupancy stage requires knowledge of building occupancy pattern. These occupancy data can potentially be collected from trials and used to improve the prediction capability... Read More about Demonstrating the potential of indoor positioning for monitoring building occupancy through ecologically valid trials.

We got the power: Predicting available capacity for vehicle-to-grid services using a deep recurrent neural network (2021)
Journal Article

© 2021 Elsevier Ltd Vehicle-to-grid (V2G) services utilise a population of electric vehicle batteries to provide the aggregated capacity required to participate in power and energy markets. Such participation relies on the prediction of available cap... Read More about We got the power: Predicting available capacity for vehicle-to-grid services using a deep recurrent neural network.

A Model-based Tightly Coupled Architecture for Low-Cost Unmanned Aerial Vehicles for Real-Time Applications (2020)
Journal Article

This paper investigates the navigation performance of a vehicle dynamic model-based (VDM-based) tightly coupled architecture for a fixed-wing Unmanned Aerial Vehicle (UAV) during a global navigation satellite system (GNSS) outage for real-time applic... Read More about A Model-based Tightly Coupled Architecture for Low-Cost Unmanned Aerial Vehicles for Real-Time Applications.

Where Will You Park? Predicting Vehicle Locations for Vehicle-to-Grid (2020)
Journal Article

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Vehicle‐to‐... Read More about Where Will You Park? Predicting Vehicle Locations for Vehicle-to-Grid.

Learning capacity: predicting user decisions for vehicle-to-grid services (2019)
Journal Article

The electric vehicles (EV) market is projected to continue its rapid growth, which will profoundly impact the demand on the electricity network requiring costly network reinforcements unless EV charging is properly managed. However, as well as import... Read More about Learning capacity: predicting user decisions for vehicle-to-grid services.

An interview analysis of coordination behaviours in out-of-hours secondary care (2019)
Journal Article

This paper seeks to elicit and structure the factors that shape the execution and, in particular, the coordination of work in Out of Hours care. Evenings and weekends in UK hospitals are managed by specific Out of Hours (OoH) care arrangements, and a... Read More about An interview analysis of coordination behaviours in out-of-hours secondary care.

Model-based autonomous navigation with moment of inertia estimation for unmanned aerial vehicles (2019)
Journal Article

© 2019 by the authors. Licensee MDPI, Basel, Switzerland. The dominant navigation system for low-cost, mass-market Unmanned Aerial Vehicles (UAVs) is based on an Inertial Navigation System (INS) coupled with a Global Navigation Satellite System (GNSS... Read More about Model-based autonomous navigation with moment of inertia estimation for unmanned aerial vehicles.

The impact of an electronic patient bedside observation and handover system on clinical practice: mixed-methods evaluation (2019)
Journal Article

Background: Patient safety literature has long reported the need for early recognition of deteriorating patients. Early warning scores (EWSs) are commonly implemented as “track and trigger,” or rapid response systems for monitoring and early recognit... Read More about The impact of an electronic patient bedside observation and handover system on clinical practice: mixed-methods evaluation.

Decision-making within missing person search (2018)
Journal Article

This paper reports the findings of a series of interviews with search and rescue volunteers. Participants were asked to recall accounts of particular incidents which involved searching for a missing adult who could be considered ‘vulnerable’. The pur... Read More about Decision-making within missing person search.

Out of hours workload management: Bayesian inference for decision support in secondary care (2016)
Journal Article

Objective: In this paper, we aim to evaluate the use of electronic technologies in Out of Hours (OoH) task-management for assisting the design of effective support systems in health care; targeting local facilities, wards or specific working groups.... Read More about Out of hours workload management: Bayesian inference for decision support in secondary care.

Unsupervised labelling of sequential data for location identification in indoor environments (2016)
Journal Article

In this paper we present indoor positioning within unknown environments as an unsupervised labelling task on sequential data. We explore a probabilistic framework relying on wireless network radio signals and contextual information, which is increasi... Read More about Unsupervised labelling of sequential data for location identification in indoor environments.

NightShift simulation to train newly qualified doctors in non-technical skills: a feasibility study (2016)
Journal Article

There is growing evidence of greater rates of morbidity and mortality in hospitals during out-of-hours shifts, which appears to be exacerbated during the period in which newly qualified doctors commence work. In order to combat this issue, an online... Read More about NightShift simulation to train newly qualified doctors in non-technical skills: a feasibility study.

Detection of UWB ranging measurement quality for collaborative indoor positioning (2016)
Journal Article

Wireless communication signals have become popular alternatives for indoor positioning and navigation due to lack of navigation satellite signals in such environments. The signal characteristics determine the method used for positioning as well as th... Read More about Detection of UWB ranging measurement quality for collaborative indoor positioning.

Wi-Fi fingerprinting based on collaborative confidence level training (2015)
Journal Article

Wi-Fi fingerprinting has been a popular indoor positioning technique with the advantage that infrastructures are readily available in most urban areas. However wireless signals are prone to fluctuation and noise, introducing errors in the final posit... Read More about Wi-Fi fingerprinting based on collaborative confidence level training.

An adaptive weighting based on modified DOP for collaborative indoor positioning (2015)
Journal Article

Indoor localisation has always been a challenging problem due to poor Global Navigation Satellite System (GNSS) availability in such environments. While inertial measurement sensors have become popular solutions for indoor positioning, they suffer la... Read More about An adaptive weighting based on modified DOP for collaborative indoor positioning.