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A more precise way to formulate complexity factors is to process the sample data using cost functions, and then to apply the cost functions at specified capacities, or to specify the capacity interval of each unit and create the complexity factor functional (Kaiser 2016).
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Specification of the capacity intervals is required for the function definition.
As capacity intervals vary, the complexity functional will be defined over different domains, which will impact its size and shape and (derived) properties such as the average and variance.
The catalytic reforming complexity factor functional is constructed using MATLAB based on 2009 USGC cost curves, C CCR) = 12.19Q 0.55 and C ADU) = 8.2q 0.51, and capacity intervals defined by average active US capacities circa 2014 plus/minus one standard deviation, I CCR = (5, 55) and I ADU = (22, 276) Mbpd (Fig. 19).
Segmented polyurethanes from oligotetramethylene glycol 1000, 4,4′-diphenylmethane diisocyanate and different chain extenders were characterized by specific heat capacity (temperature interval 130 450 K) and small-angle X-ray scattering measurements.
Furthermore, fixed costs of the biorefineries are calculated according to the piecewise linear functions in which segments are capacity level intervals.
The end-use energy ratio achieved was between 2.14 and 2.24 for this interval capacity.
Based on the interval capacity corresponding to the voltage range from 3.95 V to 4.15 V, the least square method is introduced to estimate the battery SOH.
The ion-exchanger obtained by this manner shows significant exchange capacity in wide interval of U VI) concentration.
The temperature rise is high, and the heat capacity in the interval of 23°С to 193°С is not constant.
Because of limitation in data storage capacity, the RR intervals were recorded consecutively for 5 sec in every 15-min interval for all mice during 10 27 April 2003, and for ApoE−/− mice in the control group during 22 April through 20 July 2003.
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