We consider changepoint detection in a process in which the observed points are profiles: large sets of functionally related points (x, y). Few changepoint detection methods have been proposed that don’t rely in some capacity on the assumption that the observational errors are normally distributed. In this paper, a nonparametric distribution-free wavelet method is proposed for monitoring for ch...

To characterize nonlinear Dirichlet problems in an open domain, we investigate killed distribution dependent SDEs. By constructing the coupling by projection and using Zvonkin/Girsanov transforms, well-posedness is proved for three different situations:1) monotone case with noise (possibly degenerate);2) singular non-degenerate noise;3) independent noise. In first two cases domain $ C^2 smooth ...

this paper describes an advantageous method for using the capacitor banks in the distribution network, optimally. the aim is to determine the count, location and capacitor values in order to minimize the annual cost resulting from energy losses and capacitor bank’s installation cost. besides, in the case of having nonlinear loads in the network, by installing capacitors in appropriate locations...

application of distributed generation (dg) units in distribution networks has increased in recent years. sizing and sitting of dg units are two important factors which should be considered, especially for reduction of power losses in distribution system. this paper presents a new approach for dg placement in distribution systems using the mixed integer nonlinear programming (minlp). this approa...

This paper presents a three-level supply chain model which includes single supplier, several distribution centers and sets of retailers. For this purpose, by adopting the queuing approach, a mixed nonlinear integer programming model is formulated. The proposed model follows minimizing the total cost of the system by determining: 1) the number and location of distribution centers between candida...

Rail irregularity is one of the most effective factors in train derailment. theste irregularities have generally random distribution that are assumed to be stationary random and ergodic processes in space, with Gaussian amplitude probabiliy densities and zero mean values. The quality of irregularities, their distribution along the rails and wagon speed are the main factors for train derailment ...