All Outputs (24)

Fault detection for modular multilevel converters based on sliding mode observer (2013)
Journal Article
Shao, S., Wheeler, P., Clare, J. C., & Watson, A. J. (2013). Fault detection for modular multilevel converters based on sliding mode observer. IEEE Transactions on Power Electronics, 28(11), https://doi.org/10.1109/TPEL.2013.2242093

This letter presents a fault detection method for modular multilevel converters (MMC) which is capable of lo¬cating a faulty semiconductor switching device in the circuit. The proposed fault detection method is based on a sliding mode observer (SMO)... Read More about Fault detection for modular multilevel converters based on sliding mode observer.

Noise levels and noise perception from small and micro wind turbines (2013)
Journal Article
Taylor, J., Eastwick, C., Lawrence, C., & Wilson, R. (in press). Noise levels and noise perception from small and micro wind turbines. Renewable Energy, 55, https://doi.org/10.1016/j.renene.2012.11.031

Noise concerns frequently pose a barrier to widespread implementation of wind turbines and while the perception of noise from large turbines has been investigated, there is a relative gap in the research for small and micro wind turbines. This paper... Read More about Noise levels and noise perception from small and micro wind turbines.

User requirements for the development of smartphone self-reporting applications in healthcare (2013)
Conference Proceeding
Craven, M. P., Selvarajah, K., Miles, R., Schnädelbach, H., Massey, A., Vedhara, K., …Crowe, J. (2013). User requirements for the development of smartphone self-reporting applications in healthcare. In Human-Computer Interaction. Applications and Services. https://doi.org/10.1007/978-3-642-39262-7_5

Two case studies of the development of Smartphone self-reporting mHealth applications are described: a wellness diary for asthma management combined with Bluetooth pulse oximeter and manual peak flow measurements; and a questionnaire for ecological a... Read More about User requirements for the development of smartphone self-reporting applications in healthcare.

Native Apps versus Web Apps: which is best for healthcare applications? (2013)
Journal Article
Selvarajah, K., Craven, M. P., Massey, A., Crowe, J., Vedhara, K., & Raine-Fenning, N. (2013). Native Apps versus Web Apps: which is best for healthcare applications?. Lecture Notes in Artificial Intelligence, 8005, https://doi.org/10.1007/978-3-642-39262-7_22

Smartphone applications (Apps) provide a new way to deliver healthcare, illustrated by the fact that healthcare Apps are estimated to make up over 30% of new Apps currently being developed; with this number seemingly set to increase as the benefits b... Read More about Native Apps versus Web Apps: which is best for healthcare applications?.