Emergency response time optimisation using real-time traffic information

This paper describes possible approaches for optimal route selection foremergency vehicles. The presented navigation software’s architectures employ real-time traffic congestion information, matched to a tailored map. Four approaches have been described and reviewed against suitability in emergency response situations

Contacting individual Fe(110) dots in a single electron-beam lithography step

We report on a new approach, entirely based on electron-beam lithography technique, to contact electrically, in a four-probe scheme, single nanostructures obtained by self-assembly. In our procedure, nanostructures of interest are localised and contacted in the same fabrication step. This technique has been developed to study the field-induced reversal of an internal component of an asymmetric Bloch domain wall observed in elongated structures such as Fe(110) dots. We have focused on the control, using an external magnetic field, of the magnetisation orientation within N\'eel caps that terminate the domain wall at both interfaces. Preliminary magneto-transport measurements are discussed demonstrating that single Fe(110) dots have been contacted.Comment: 5 page

Profiling of medical equipment risk using fuzzy logic

Models of risk generally struggle to cope with the complexities of healthcare, and in the context of medical equipment, it is apparent that several categories of ‘risk’ can be identified which are active concurrently. From previous development of a clinical risk simulation model within a Critical Care environment, a specific implementation of fuzzy logic was found to provide a means of developing a ‘risk engine’ which referenced contributing factors and preventative factors of risk in the clinical environment. Components of this ‘risk engine’ model have been applied to the task of classification of risk associated with medical equipment. This in turn allows priorities to be identified in relation to management of a diverse equipment portfolio

Precision Indoor Three-Dimensional Visible Light Positioning Using Receiver Diversity and Multilayer Perceptron Neural Network

In recent times, several applications requiring highly accurate indoor positioning systems have been developed. Since the global positioning system is unavailable/less accurate in the indoor environment, alternative techniques such as visible light positioning (VLP) are considered. The VLP system benefits from the wide availability of illumination infrastructure, energy efficiency and the absence of electromagnetic interference. However, there is a limited number of studies on three dimensional (3D) VLP and the effect of multipath propagation on the accuracy of the 3D VLP. This study proposes a supervised artificial neural network to provide accurate 3D VLP whilst considering multipath propagation using receiver diversity. The results show that the proposed system can accurately estimate the 3D position with an average root mean square (RMS) error of 0.0198 and 0.021 m for line-of-sight (LOS) and non-LOS link, respectively. For 2D localisation, the average RMS errors are0.0103 and 0.0133 m, respectively