A novel approach for parameter estimation of Fricke-Morse model using Differential Impedance Analysis

2017 ◽  
pp. 487-494 ◽  
Author(s):  
Mitar Simić ◽  
Zdenka Babić ◽  
Vladimir Risojević ◽  
Goran Stojanović
2016 ◽  
Author(s):  
Simon Höllering ◽  
Jürgen Ihringer ◽  
Luis Samaniego ◽  
Erwin Zehe

Abstract. The present study provides a novel approach to the challenge of identifying behavioural parameters in the context of parameter sensitivity and related hydrologic similarity classification. A methodical framework is presented wherein global sensitivity analysis of a spatially distributed conceptual hydrologic model within 14 different mesoscale headwater catchments is combined with a parameter estimation scheme based upon both classification by (1) physiographic and climate and (2) related dynamic response characteristics represented by hydrologic signatures (fingerprints) creating an interface between hydrologic variables of observed and simulated origin. Changing ranks in (3) partial parameter sensitivities within the catchments indicate that hydrologic dynamics might be governed by different hydrologic processes. Model simulated and the respective observed response fingerprints are found to cluster within typical sample regions. These findings show a general model adequacy to represent mesoscale streamflow response processes that relate temporally dominant parameters and allow a reasonable constraint on the parameter space. The senstivity-nested approach may be useful to calibrate hydrologic models sequentially on streamflow sections as well as on constraining (observable) single or combined hydrologic fingerprints and also to transfer results to similar sites, ungauged or anthropogenically altered.


2016 ◽  
Vol 37 (1) ◽  
pp. 189-205 ◽  
Author(s):  
Deepika Chaudhary ◽  
Mansi Sharma ◽  
S. Sudhakar ◽  
Sushil Kumar

2013 ◽  
Vol 35 (9) ◽  
pp. 1349-1357 ◽  
Author(s):  
Benjamin Sanchez ◽  
Aliaksandr S. Bandarenka ◽  
Gerd Vandersteen ◽  
Johan Schoukens ◽  
Ramon Bragos

2020 ◽  
Vol 14 (2) ◽  
Author(s):  
Georg Schiffers ◽  
Julian Arnold ◽  
Alexander Bartella ◽  
Petri Mähönen ◽  
Bernd Lethaus

Abstract Safe lower jaw implantations require precautions to avoid damaging the alveolar nerve. The prevailing methods are preoperative. In this study, we propose a novel approach to measure the distance between a pilot-drill and the alveolar nerve by employing high-frequency impedance measurements. The objective is to provide in vivo real-time information as an early warning of the proximity of the alveolar nerve. The method is examined and tested on animal samples. The impedance measurements were performed using a high-frequency network analyzer. Overall 40 pilot drillings were distributed over five sheep mandibles, with four on each side. Drillings were performed in three steps: inside the cortical layer, inside the spongiosa, and well inside the nerve canal. The inductance measurements were performed with a connected pilot drill, followed by an immediate 3D cone-beam computed tomography (CT) to measure the distance between the tip of the drill and the nerve canal. The measurements show that impedance information is a reliable indicator for proximity of the drill to the nerve. We observe a general trend of decreasing inductance as the drill approaches the nerve and find that at very high frequencies one can detect the closeness to the nerve from characteristic ratios of impedance at nearby frequencies. We report also that using phase information increases the reliability of this method. The findings provide a solid proof of concept for the proposed method. While the results are promising at this stage, the applicability for in vivo conditions requires further studies.


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