a simple method is described for analysis of transients in power network. the method is developed for analysis of transformer and generator winding resonances due to their interaction with transmission lines caused by switching surges. the method is already used for calculation of overvoltages which had resulted in damages in the transformer winding of a hydro power plant. nonlinearity in the i...

pore network modeling uses a network of pores connected by throats to model the void space of a porous medium and tries to predict its various characteristics during multiphase flow of various fluids. in most cases, a non-realistic regular lattice of pores is used to model the characteristics of a porous medium. although some methodologies for extracting geologically realistic irregular network...

in this study, an artificial neural network was developed in order to analyze flexible pavement structure anddetermine its critical responses under the influence of standard axle loading. in doing so, more than 10000four-layered flexible pavement sections composed of asphalt concrete layer, base layer, subbase layer, andsubgrade soil were analyzed under the impact of standard axle loading. pave...

drug resistance enables cancer cells to break away from cytotoxic effect of anticancer drugs. identification of resistant phenotype is very important because it can lead to effective treatment plan. there is an interest in developing classifying models of resistance phenotype based on the multivariate data. we have investigated a vibrational spectroscopic approach in order to characterize a sen...

social network analysis used to study the relationship between stakeholders and actors in natural resource management has become a scientific approach. the purpose of this study was analysis of information exchange network among organizations engage in the sustainable management of natural resources. results of social network analysis revealed that there is weak relationship among organizations...

this study investigates the correlations among the tensile strength, mineral composition, and textural features of twenty-ninesandstones from kouzestan province. the regression analyses as well as artificial neural network (ann) are also applied to evaluatethe correlations. the results of simple regression analyses show no correlation between mineralogical features and tensile strength.however,...

background : the aim of this study was to predict the survival rate of iranian gastric cancer patients using the cox proportional hazard and artificial neural network models as well as comparing the ability of these approaches in predicting the survival of these patients. methods: in this historical cohort study, the data gathered from 436 registered gastric cancer patients who have had surgery...

the increasing amount of scientific collaboration has led to an increase  in the quality of scientific publications. the goal of this article is to analyze the co-authorship patterns and networks in sbums’s scientific publications in wos from 2009 to 2013. hence, the co-authorship indicators and ratio of national to international collaborations are determined. this research is a descriptive sur...

water quality assessment provides a scientific basis for water resources development and management. this case study proposes a factor analysis- hopfield neural network model (fhnn) based on factor analysis method and hopfield neural network method. the results showed that the factor analysis (fa) technique was introduced to identify important water quality parameters. results revealed that bio...