Abstract Robust optimization is proving to be a fruitful tool study problems with uncertain data. In this paper we deal the minmax aproach robust multiobjective optimization. We survey main features of problem particular reference results concerning linear scalarization and sensitivity optimal values respect changes in uncertainty set. Furthermore prove solutions Finally apply presented mean-va...

In this paper, a new algorithm is presented for estimating mobile speed for handoff in hierarchical cellular systems. The proposed algorithm is based on normalized autocorrelation values of received signals to estimate mobile speed; it contains six steps. First, the instantaneous power of the received baseband signal is calculated to remove the frequency offset and data/speech information-beari...

This study investigated the spatial distribution, spatial autocorrelation, temporal cluster, spatial-temporal autocorrelation and probable risk factors of H7N9 outbreaks in humans from March 2013 to December 2014 in China. The results showed that the epidemic spread with significant spatial-temporal autocorrelation. In order to describe the spatial-temporal autocorrelation of H7N9, an improved ...

• Autocorrelation Function (ACF): Autocorrelation is a statistical measure of the relationship, if any, between a random variable and itself, at different time lags. The autocorrelation coefficient can range between +1 (very high positive correlation) and -1 (very high negative correlation). The Autocorrelation function (ACF) shows the value of the autocorrelation coefficient for different time...