Deflection monitoring system making use of inclinometers and cubic spline curves

2014 ◽  
pp. 2305-2312
Author(s):  
P Olaszek
Keyword(s):  
Monitoring System ◽  
Cubic Spline ◽  
Spline Curves

Drawing antialiased cubic spline curves

1991 ◽  
Vol 10 (1) ◽  
pp. 92-108 ◽  
Author(s):  
R. Victor Klassen
Keyword(s):  
Cubic Spline ◽  
Spline Curves

Local control of interpolating rational cubic spline curves

2009 ◽  
Vol 41 (11) ◽  
pp. 825-829 ◽  
Author(s):  
Qi Duan ◽  
Fangxun Bao ◽  
Shitian Du ◽  
E.H. Twizell
Keyword(s):  
Local Control ◽  
Cubic Spline ◽  
Spline Curves

Reconstruction of Sculptured Surface on Reverse Engineering

1997 ◽  
Author(s):  
Gou-Jen Wang ◽  
Chung-Chang Wang
Keyword(s):  
Data Structure ◽  
Reverse Engineering ◽  
Surface Reconstruction ◽  
Sparse Matrix ◽  
Computing Time ◽  
Cubic Spline ◽  
Surface Model ◽  
Two Dimensional ◽  
B Spline ◽  
Spline Curves

Abstract In this article, solutions for redundant measured data elimination and surface reconstruction on reverse engineering are presented. In redundant data elimination, we propose a simple algorithm that can efficiently discard those redundant measured points according to the required degree of accuracy. While in the surface reconstruction, we try first convert all eliminated column or row data into spline (B-Spline, Beizer and Cubic-Spline) curves. Methods for two dimensional spline (u, v directions) curve construction are described. Non-meshed two dimensional spline curves are then blended to a surface model by formatting data points into a sparse matrix data structure. Experimental results show that the proposed characteristic points extraction method can remarkably reduce the reconstruction time only on the cost of a little extracting time and minor modeling errors. Comparisons among B-spline, Beizer and Cubic-spline on data structure, computing time, and accuracy demonstrate that the B-spline algorithm is superior to other algorithms in surface reconstruction.

The assessment of risk factors for postoperative delirium using cubic spline curves in gastroenterological surgery

Surgery Today ◽  
2021 ◽  
Author(s):  
Yuki Okawa ◽  
Kimitaka Tanaka ◽  
Yoshitsugu Nakanishi ◽  
Toshimichi Asano ◽  
Takehiro Noji ◽  
...  
Keyword(s):  
Risk Factors ◽  
Postoperative Delirium ◽  
Cubic Spline ◽  
Spline Curves
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