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In the paper, the authors try to combine the database system field and computer architecture. This tries is from his awareness of current database research problems (trends). The author argues that the current trends of database system have focused on theoretical and algorithmic problems. So, they need to consider the other part of database system, such as computer architecture. They thought that this is the time to think about architectural aspect of database system.
Etude et estimation de la consommation totale d’électricité par calage avec ou sans réduction du nombre de variables auxiliaires.
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Diabetes patients must monitor and control their own blood glucose levels with the intention of approximating the blood glucose levels and dynamics of a typical person. This is an onerous task for most diabetics and this paper will survey a handful of ways that these challenges might be practically addressed with Machine Learning. The regressive versions of AdaBoost and SVMs are evaluated for feasability for blood sugar prediction in the context of intermittent data. The SVM and AdaBoost classification methods are also evaluated for their performance in predicting hypoglycemic events, which are harmful if left untreated. Possible applications of these methods are presented along with a discussion of future research topics and the many factors effecting the success of diabetes treatments.