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Multitask Learning has been proven to be more effective than the traditional single task learning on many real-world problems by simultaneously transferring knowledge among different tasks which may suffer from limited labeled data. However, in order to build a reliable multitask learning model, nontrivial effort to construct the relatedness between(More)
In the petroleum industry, multivariate time series data is commonly used to monitor the performance of their assets, in which wells artificial lift systems are among the key assets that bring oil up to the surface. Failures frequently occur among these artificial lift systems, and they can greatly increase the operational expense due to loss of production(More)
Managing learning resources is an essential part of an eLearning system, while building inclusive learning environments regardless of race, sex, abilities or capabilities demands the sharing of learning resources. In this paper, we present a learning resource management approach, which is compatible with many standards. We use metadata generation technique,(More)
In this paper, we present a learning resource management approach, which is compatible with many standards. We use metadata generation technique, metadata management technique based on XML database, as well as the standard transformation technique, to design and implement a demonstration of learning resource management system. This system consists of(More)
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