We motivate in this paper the need for application-level proximity. This proximity is a function of network characteristics that decide on the application performance. Most of existing protocols rely on the network-level proximity as for example the one based on the delay (e.g., the delay closest peer is the best peer to contact). In this paper, we study how much the two proximity definitions d...

in this paper, a fault diagnosis system based on discrete wavelet transform (dwt) and artificial neural networks (anns) is designed to diagnose different types of fault in gears. dwt is an advanced signal-processing technique for fault detection and identification. five features of wavelet transform rms, crest factor, kurtosis, standard deviation and skewness of discrete wavelet coefficients of...