This paper proposes new partial discharge (PD) pattern recognition based on the Hilbert–Huang Transform (HHT). First, five types of defect models are well-designed on the base of investigation of many power equipment failures, and a commercial acoustic emission (AE) sensor measures the acoustic signal caused by the PD phenomenon. Next, the HHT can represent instantaneous frequency components th...

In a network, one-to-all broadcasting is the process of disseminating messages from a source node to all the nodes existing in the network through successive data transmissions between pairs of nodes. Broadcasting is the most primary communication process in a network. A 3D Petersen-Torus (3D PT) network has been proposed recently. the three-dimensionallymagnified Petersen-Torus topology, 3D PT...

Finding a well fitting null model for biological networks is important in many research areas. A good model should generate graphs that resemble real data as closely as possible across a wide range of statistical measures. Degree-preserving randomized models have been widely used for this purpose in biomolecular networks. However, such a single summary global statistic of a network may not be d...

Abstract Dynamic Network Actor Models (DyNAMs) assume that an observed sequence of relational events is the outcome actor-oriented decision process consisting two levels. The first level represents time until actor initiates next event, modeled by exponential distribution with actor-specific activity rate. second describes choice receiver a conditional multinomial logit model. DyNAM assumes par...

We investigate thermodynamic phase transitions of the joint presence spin glass (SG) and random field (RF) using a graph model that allows us to deal with quenched disorder. Therefore, connectivity becomes controllable parameter in our theory, allowing answer what differences are between this description mean-field theory i.e., fully connected theory. have considered network Ising where exchang...