preparation-aligned-steel-fiber-reinforced-cementitious-composite-its

Preparation of Aligned Steel Fiber Reinforced Cementitious Composite and Its Flexural Behavior

The aim of this work is to present an approach, inspired by the way in which a compass needle maintains a consistent orientation under the action of the ...

Hebei University of Technology

The Polynomial Curve Fitting Method (PCFM) is used firstly on Electrical Impedance Tomography (EIT) to find out the polynomial function of boundary potential distribution according to the measured data in this work. The potential values calculated from the polynomial function can be regarded as measured data. So enough data can be provided to satisfy the requirements of various algorithms. The potential distribution within the domain is obtained approximately according to the equipotential property. Without adding the electrode number and changing data collection strategy, more data can be obtained and regarded as measured data by using the PCFM. With these enough data, the quality of reconstructed image is improved obviously.

Using polynomial curve fitting method to improve image quality in EIT.

The approximately closed formula of voltage distribution on the boundary was resulted from those discrete data measured from electrodes by Polynomial Curve Fitting method (PCFM). In addition, an assumption of equivalent potential distribution was proposed according to equivalent potential relation between the boundary voltage and inner node. Then, the correlation between the variation of inner node impedance and that of boundary voltage, Node-Back-Projection Algorithm (NBPA) was put forward accordingly. So the variation of inner node impedance was directly obtained from the variation of boundary voltage measured and electrical impedance tomography (EIT) was reconstructed by the interpolated algorithm, the resolution of image was improved. In this algorithm, the calculation of impedance for surface and volume was not needed, neither is iterative calculation. With the features of fewer calculations and quickly imaging, the new algorithm is suitable for the reconstruction of 3D EIT. In the meantime, a simple and feasible method was put to realize the real time inspection and measurement.

Article	Year
Using polynomial curve fitting method to improve image quality in EIT. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference\| PubMed ID: 17959508	2006
A new algorithm to reconstruct EIT images: Node-Back-Projection Algorithm. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference\| PubMed ID: 18002977	2007

Quanming Zhao

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