The approach has been tested and validated using real-life data and its functions are demonstrated with illustrative examples.
Using real life data on social contacts and serological evidence of infection, Wallinga et al. showed in a simulation study of the spread of mumps and pandemic influenza that school-aged children and young adults have the highest incidence of infection and contribute most to the further spread of infection during a respiratory epidemic in a completely susceptible population.
This paper presents an improved completely interconnected procedure for estimating the losses, cooling flows, fluid characteristics and temperature distribution in a gearless mill drive using real life data.
The applicability of the proposed procedure is also illustrated using real life data sets.
Simulation results using real life data are presented for three different exchange rates for one fifteen months' ahead predictions.
We show the effectiveness of the method for making chance discoveries by using real life data from a car rental service center.
Many numerical experiments using real life data from the automotive industry are carried out in order to derive some insights related to multi-period modeling.
In the special case when (k_{0}=0), the large-time behavior of the population is entirely determined by the sign of (k_{2}(A)), which is, according to (32), a function depending on the frequency A. Using real life data we came to the following conclusions.
37 In conclusion, we were able to show, using real life data, that the exclusion of DCI cases from analysis introduced overestimation of relative survival estimates in the magnitude of up to 3% units among elderly patients, whilst the effect was smaller among younger patients.
We evaluate two variants of this algorithm, and show, using real-life data traces gathered from 10 domestic users, that our fusion of mobile and power-line sensing is very promising: it identified all devices that were used in each data trace, and it identified the usage duration and energy consumption of low-load consumer appliances with ∼87% accuracy.
The model is presented in this paper and validated using real-life data.
