Determination of available transfer capability by means of Ralston's method incorporating cubic-spline interpolation technique

2010 ◽  
Vol 21 (1) ◽  
pp. 439-464 ◽  
Author(s):  
S. Busan ◽  
M. M. Othman ◽  
I. Musirin ◽  
A. Mohamed ◽  
A. Hussain
Keyword(s):  
Spline Interpolation ◽  
Cubic Spline ◽  
Available Transfer Capability ◽  
Cubic Spline Interpolation ◽  
Transfer Capability ◽  
Interpolation Technique ◽  
Spline Interpolation Technique

Multi-Axle Moving Train Loads Identification on Continuous Bridge from Bridge Displacement Responses

2012 ◽  
Vol 239-240 ◽  
pp. 670-674
Author(s):  
Yi Wang ◽  
Cong Shuang Luo
Keyword(s):  
Spline Interpolation ◽  
Time History ◽  
Element Model ◽  
Cubic Spline ◽  
Dynamic Displacement ◽  
Cubic Spline Interpolation ◽  
Influence Line ◽  
Interpolation Technique ◽  
Spline Interpolation Technique ◽  
Moving Train

A new method for multi-axle moving train loads identification on continuous bridge is presented in this paper. In order to improve the accuracy and efficiency for moving loads identification, both cubic spline interpolation technique and dynamic displacement influence line technique were employed. The time history displacements of the measurement stations under unit force were calculated with cubic spline interpolation technique based on the finite element model of the bridge. The dynamic displacement influence line was obtained to be used for identifying the moving train loads with simulated annealing genetic algorithm by minimizing the errors between the measured displacements and the reconstructed displacements from the moving train loads. A series of comparative studies were carried out to investigate effects of different span numbers with the same length, different length with the same span number and measurement noise on the proposed method. The result shows that the proposed method is an accurate and efficient method for multi-axle moving train loads identification on continuous bridge.

scholarly journals Image Compression and Reconstruction using Cubic Spline Interpolation Technique

2008 ◽  
Vol 5 (11) ◽  
pp. 1562-1565 ◽  
Author(s):  
R. Muthaiah ◽  
K. NeelaKanta ◽  
Vidur Sharma ◽  
Amit Arora
Keyword(s):  
Image Compression ◽  
Spline Interpolation ◽  
Cubic Spline ◽  
Cubic Spline Interpolation ◽  
Interpolation Technique ◽  
Spline Interpolation Technique

scholarly journals Application of Cubic Spline Interpolation Technique in Power Systems: A Review

2018 ◽  
Author(s):  
Akhil Prasad ◽  
Atul Manmohan ◽  
Prabhakar Karthikeyan Shanmugam ◽  
Kothari D.P.
Keyword(s):  
Power Systems ◽  
Spline Interpolation ◽  
Cubic Spline ◽  
Cubic Spline Interpolation ◽  
Interpolation Technique ◽  
Spline Interpolation Technique

Study on Removing Baseline Drift in the Brain Blood Stream Signal Based on Cubic Spline Interpolation Technique

2011 ◽  
Vol 480-481 ◽  
pp. 862-867 ◽  
Author(s):  
Nan Quan Zhou
Keyword(s):  
Spline Interpolation ◽  
Blood Stream ◽  
Cubic Spline ◽  
Original Signal ◽  
Brain Wave ◽  
Cubic Spline Interpolation ◽  
Baseline Drift ◽  
Interpolation Technique ◽  
Spline Interpolation Technique ◽  
The Brain

The paper presents a new method to remove baseline drift in the brain blood stream signal based on cubic spline interpolation theory. Firstly, detect some characteristic points in the original signal, and then fit the drifting baseline based on the cubic spline interpolation technique. Finally the original signal minus the baseline is the steady signal of brain blood stream. Lots of simulation experiments and clinical tests had been done, and the baseline drift in LabVIEW software program was removed perfectly. Once the method to remove baseline drift is put in practice, its effect is good and its speed is fast, and it is easy to carry out. It has great application in brain wave monitor with embedded CPU and real time character, and it is also applied in other signal detectors.

Impact of AlInN Back-Barrier Over AlGaN/GaN MOS-HEMT With HfO₂ Dielectric Using Cubic Spline Interpolation Technique

2020 ◽  
Vol 67 (9) ◽  
pp. 3558-3563 ◽  
Author(s):  
V. Sandeep ◽  
J. Charles Pravin ◽  
A. Ramesh Babu ◽  
P. Prajoon
Keyword(s):  
Spline Interpolation ◽  
Cubic Spline ◽  
Cubic Spline Interpolation ◽  
Interpolation Technique ◽  
Spline Interpolation Technique

scholarly journals Spline-Based Formulas for the Determination of Equation of Time and Declination Angle

2011 ◽  
Vol 2011 ◽  
pp. 1-5
Author(s):  
Fawzi Al-Naima ◽  
Bilal Abdul Majeed
Keyword(s):  
Spline Interpolation ◽  
Absolute Error ◽  
Cubic Spline ◽  
Analytical Evaluation ◽  
Maximum Absolute Error ◽  
Cubic Spline Interpolation ◽  
Approximation Formulas ◽  
Declination Angle ◽  
Equation Of Time

This paper presents new approximation formulas for the determination of the equation of time and declination angle. The proposed approach is based on the cubic spline interpolation techniques defined for sixteen or twenty chosen knots over the whole year. The results obtained by the proposed formulas for both equation of time and declination angle show marked improvements in terms of speed and sum of squared errors and maximum absolute error over the whole year in comparison with other five existing methods for analytical evaluation of equation of time and two existing methods for analytical evaluation of declination angle.

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