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Provenance describes detailed information about the history of a piece of data, containing the relationships among elements such as users, processes, jobs, and workflows that contribute to the existence of data. Provenance is key to supporting many data management functionalities that are increasingly important in operations such as identifying data sources, parameters, or assumptions behind a given...
HPC platforms are capable of generating huge amounts of metadata about different entities including jobs, users, and files. Simple metadata, which describe the attributes of these entities (e.g., file size, name, and permissions mode), has been well recorded and used in current systems. However, only a limited amount of rich metadata, which records not only the attributes of entities but also relationships...
This paper proposes a short-term prediction model for transmission lines icing based on back- propagation (BP) neural network. Our work begins with a review of basic principles of this model and a brief research background. Then, a series of preprocessing on the data obtained from on-line icing monitoring system, such as the elimination of data with crassitude error, the correction of anomaly data,...
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