Outputs (8)

Comparing different approaches of agent-based occupancy modelling for predicting realistic electricity consumption in office buildings (2023)
Journal Article
Mashuk, M. S., Pinchin, J., Siebers, P., & Moore, T. (2024). Comparing different approaches of agent-based occupancy modelling for predicting realistic electricity consumption in office buildings. Journal of Building Engineering, 84, Article 108420. https://doi.org/10.1016/j.jobe.2023.108420

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
Mwenegoha, H. A., Moore, T., Pinchin, J., & Jabbal, M. (2021). Error characteristics of a model-based integration approach for fixed-wing unmanned aerial vehicles. Journal of Navigation, 74(6), 1353-1366. https://doi.org/10.1017/S0373463321000424

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
Mashuk, M. S., Pinchin, J., Siebers, P. O., & Moore, T. (2021). Demonstrating the potential of indoor positioning for monitoring building occupancy through ecologically valid trials. Journal of Location Based Services, 15(4), 305-327. https://doi.org/10.1080/17489725.2021.1893394

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
Shipman, R., Roberts, R., Waldron, J., Naylor, S., Pinchin, J., Rodrigues, L., & Gillott, M. (2021). We got the power: Predicting available capacity for vehicle-to-grid services using a deep recurrent neural network. Energy, 221, Article 119813. https://doi.org/10.1016/j.energy.2021.119813

© 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
Mwenegoha, H. A., Moore, T., Pinchin, J., & Jabbal, M. (2020). A Model-based Tightly Coupled Architecture for Low-Cost Unmanned Aerial Vehicles for Real-Time Applications. IEEE Access, https://doi.org/10.1109/access.2020.3038530

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.

The impact of an electronic patient bedside observation and handover system on clinical practice: mixed-methods evaluation (2019)
Journal Article
Lang, A., Simmonds, M., Pinchin, J., Sharples, S., Dunn, L., Clarke, S., …Swinscoe, C. (2019). The impact of an electronic patient bedside observation and handover system on clinical practice: mixed-methods evaluation. JMIR Medical Informatics, 7(1), Article e11678. https://doi.org/10.2196/11678

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
Harrington, K., Brown, M., Pinchin, J., & Sharples, S. (2018). Decision-making within missing person search. Cognition, Technology and Work, 20(4), 665-680. https://doi.org/10.1007/s10111-018-0515-x

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.

NightShift simulation to train newly qualified doctors in non-technical skills: a feasibility study (2016)
Journal Article
Brown, M., Pinchin, J., Valand, R., Larkin, C., Pattinson, J., Benning, K., …Blakey, J. (2016). NightShift simulation to train newly qualified doctors in non-technical skills: a feasibility study. Future Hospital Journal, 3(2), https://doi.org/10.7861/futurehosp.3-2-94

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.