This article puts forward a new algorithm based on Kullback–Leibler divergence (KLD) for discriminating inrush and internal fault currents in power transformers. Specifically, the main idea of this is to utilize current signal discrepancy distribution with ideal waveforms. To such an aim, proposed index reproduces differential signal. Utilizing fast modified least squares technique, generated. ...

Repetitive-element PCR (rep-PCR) fingerprinting is a promising molecular typing tool for Escherichia coli, including for discriminating between pathogenic and nonpathogenic clones, but is plagued by irreproducibility. Using the ERIC2 and BOXA1R primers and 15 E. coli strains from the ECOR reference collection (three from each phylogenetic group, as defined by multilocus enzyme electrophoresis [...

Technology selection is an important part of management of technology. Recently Karsak and Ahiska (2005) proposed a novel common weight multiple criteria decision making (MCDM) methodology for selection of the best Advanced Manufacturing Technology (AMT) candidates based on a number of attributes. However, Amin et al. (2006), by means of a numerical example demonstrated the convergence difficul...

We realized and tested a novel system aimed at discriminating different hand poses by means of an active actuating sensing approach converting electromagnetic to mechanical waves (and vice versa) analyzing the characteristics after their travel through bones cartilage hand. The part is transducer, placed on dorsal hand, performing electromagnetic-to-mechanical energy conversion. accelerometer, ...

data envelopment analysis (dea) is a managerial powerful tool for assess the performance of decision making units (dmus). nowadays, multi-objective dea models are an attractive technique for evaluation quantity and quality aspects of performance analysis. but these models are in static. in this paper, we want to present a proposed fuzzy dynamic multi-objective dea model in which data are changi...

This study aims to determine the validity of five-tier diagnostic instrument. Empirical validation tests were carried out identify items' difficulty level, different power items, percentage distractor effectiveness, and test reliability items. The results show that instrument is feasible valid use by looking at discriminating power, item validity, empirical test. level questions included in ave...

This paper summarizes our work and our understanding on volumetric pathological neuroimage retrieval under the framework of classification-driven feature selection. The main effort concerns off-line image feature space reduction for improved image indexing feature discriminating power as well as reduced computational cost during on-line pathological neuroimage retrieval. Keywrods: 3D image, fea...