An uncertainty importance measure using a distance metric for the change in a cumu- lative distribution function. Reliability Engineering and System Safety, 2000,70(3): 313-321.Chun M-H, Han S-J, Tak N-I. An uncertainty importance measure using a distance metric for the change in a ...
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The intervening time had been spent by the scientists and engineers in preliminary research; Delambre and Mechain now set to work to measure the distance on the meridian from Barcelona, Spain, to Dunkirk in northern France. The survey proved arduous; civil and foreign war so hampered the ...
Tonnes (also called Metric Tons) are used to measure things that are very heavy.Things like cars, trucks and large cargo boxes are weighed using the tonne.This car has a mass of about 2 tonnes.Tonnes are often written as t (for short), so "5 t" means "5 tonnes"....
If Tc is small, e.g., in a mobile sensor network, we should choose a small IPI, given that we want to measure the short-term channel variation. Yet, to accurately measure channel coherence time, we need expensive special-purpose equipments. Therefore, we need to rely on experience and ...
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is a measure of the potential capability with the assumption that the distribution of the sample process data is normally distributed and centered within the customer’supper specification limitandlower specification limit. It represents the best the process capability can be for the specs and process...
In this paper, we propose a generic neighborhood rough set model based on distance metric learning (denoted as NMD for short). NMD can tackle numerical data, categorical data, and mixed-type data. It uses a similarity measure that learned from the data to keep samples from the same decision...
Took his measure for the suit jacket. Metric (mathematics) A function for the measurement of the "distance" between two points in some metric space: it is a real-valued function d(x,y) between points x and y satisfying the following properties: (1) "non-negativity": d(x,y) \ge 0 ...