AWIXACT. A Geographic Information System (GIS)-based, lumpedparameter water quality model was developed to estimate the spat ia l and temporal n i trogenloadingpat terns for lower coastal p lain watersheds in eastern North Carol ina. The model uses a spatially distributed delivery ratio (OR) parameter to accountfor nitrogen retention or loss along a drainage network. Delivery rat ios are calcul...

This paper presents the results of the parameter estimation procedure for the primary circuit dynamics of a VVER-type nuclear power plant. The model structure is a low dimensional lumped nonlinear model published previously in Fazekas et al. [2007a]. The parameter estimation method uses the modular decomposition of the system model for obtaining physically meaningful initial parameter estimates...

The Rainfall-Response Aquifer and Watershed Flow Model (RRAWFLOW) is a lumped-parameter model that simulates streamflow, spring flow, groundwater level, or solute transport for a measurement point in response to a system input of precipitation, recharge, or solute injection. I introduce the first version of RRAWFLOW available for download and public use and describe additional options. The open...

Widely used approaches to modeling random effects and extracting random parameters in matching-critical circuits are based upon models derived under the widely accepted premise that distributed parameter devices can be modeled with lumped parameter models. In this paper, a new stochastic approach based upon a distributed parameter model is presented that offers improvement in predicting the eff...

BACKGROUND AND OBJECTIVE Cerebral Arteriovenous Malformation (CAVM) hemodynamic is disease condition, results changes in the flow and pressure level in cerebral blood vessels. Measuring flow and pressure without catheter intervention along the vessel is big challenge due to vessel bifurcations/complex bifurcations in Arteriovenous Malformation patients. The vessel geometry in CAVM patients are ...

The paper proposed to use a Recurrent Neural Network Model (RNNM) and a dynamic Backpropagation learning for centralized identification of an anaerobic digestion bioprocess, carried out in a fixed bed and a recirculation tank of a wastewater treatment system. The anaerobic digestion bioprocess represented a distributed parameter system, described by partial differential equations. The analytica...

Macroscopic, microscopic, and mesoscopic lumped-parameter models of shape memory alloy wires subjected to axial loads and new flutter prediction methods of a steady and a non-steady aeroelastic system will be presented with some comparison to previous studies.