In engineering, the fault data unevenly distribute and difficultly share, which causes that the existing fault diagnosis methods Waterfalls cannot recognize the newly added fault types.An intelligent diagnosis method for machine fault is proposed based on federated learning.Firstly, the local fault diagnosis models diagnosing the existing fault dat
Multi-source social sensing data provide new opportunities to identify urban functions from the perspective of human activity.The information embedded in multi-source data typically needs to be fused to obtain a comprehensive view of urban functions.Although multi-view clustering has been successfully used to fuse multi-source social sensing data,
The moisture condition of the active layer in Arctic regions can induce severe problems, such as ground subsidence and frost heave.Thus, the water content in the active layer needs to be estimated using a light and portable in-situ testing device.In this study, a penetration-type time domain reflectometry (PTDR) device is developed for the estimati
To use public transit, riders must complete first and last mile trip segments.However, transportation planning measures of access to opportunity often assume that transit riders can complete first and last mile trips with ease.This paper contributes to the understanding of how disabled transit riders experience the Apple CarPlay first and last mile