In this paper, we propose a coherent framework for multi-machine analysis, using group clustering model, which can be utilized predictive maintenance (PdM). The benefits from the repetitive structure posed by multiple machines and enables assessment of health condition, degradation modeling comparison machines. It is based on hierarchical probabilistic denoted Gaussian topic model (GTM), where ...

Unclassified region decreases the efficiency and performance of multi-class support vector machine. The proper selection of feature sub set reduced the unclassified region of multi-class support vector machine. Now a day’s multi-class classification are widely used in image classification. The feature selection or mapping of data one space to another space creates diversity of outlier and noise...

Power system stability control is a challenging task in power generation, transmission and distributions based applications and in many fields. Multi-machine power compensation control can achieve system stabilization within a prescribed time in conventional controller. However, limited time control cannot guarantee the system convergence within particular time independent on the initial condit...

This paper deals with the elements of a multi-modal person authentication systems. Test procedures for evaluating machine experts as well as machine supervisors based on leave-one-out principle are described. Two independent machine experts on person authentication are presented along with their individual performances. These experts consisted of a face (Gabor features) and a speaker (LPC featu...

in this paper, we show how to obtain suitable differential charactristics for block ciphers with neural networks. we represent the operations of a block cipher, regarding their differential characteristics, through a directed weighted graph. in this way, the problem of finding the best differential characteristic for a block cipher reduces to the problem of finding the minimum-weight multi-path...