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A load estimation algorithm based on k-means cluster analysis was developed. The algorithm applies cluster centres – of previously clustered load profiles – and distance functions to estimate missing and future measurements. Canberra, Manhattan, Euclidean, and Pearson correlation distances were investigated. Several case studies were implemented using daily and segmented load profiles of aggreg...

The growing availability of low-power sensors, microprocessors, and transmitters makes it increasingly attractive to use distributed sensor networks for track-health monitoring. Widespread implementation of these networks will require robust and low-maintenance methods for powering the electronics. This research investigates two principal methods of harvesting mechanical power from passing rail...

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     Extracellular Ca 2+ <span style="color: #231f20; font-family: Times ...

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