Automatic Construction of Correspondences for Tubular Surfaces

2010 ◽  
Vol 32 (4) ◽  
pp. 636-651 ◽  
Author(s):  
T. Huysmans ◽  
J. Sijbers ◽  
V. Brigitte
Keyword(s):  
Automatic Construction ◽  
Tubular Surfaces

Water Boiling at Tubular Surfaces Formed by Cavities

1998 ◽  
Vol 29 (1-3) ◽  
pp. 8-13
Author(s):  
A. A. Khalatov ◽  
G. V. Kovalenko ◽  
G. G. Geletuha
Keyword(s):  
Tubular Surfaces

Extraction of terms and semantic relationships from Arabic texts for automatic construction of an ontology

2017 ◽  
Vol 20 (2) ◽  
pp. 289-296 ◽  
Author(s):  
Ali Benabdallah ◽  
Mohammed AlaEddine Abderrahim ◽  
Mohammed El-Amine Abderrahim
Keyword(s):  
Semantic Relationships ◽  
Automatic Construction

scholarly journals A python code for automatic construction of Fischer plots using proxy data

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Daming Yang ◽  
Yongjian Huang ◽  
Zongyang Chen ◽  
Qinghua Huang ◽  
Yanguang Ren ◽  
...  
Keyword(s):  
Data Processing ◽  
Open Source ◽  
Lake Level ◽  
Gamma Ray ◽  
Data Series ◽  
Proxy Data ◽  
Cycle Number ◽  
Automatic Construction ◽  
Natural Gamma ◽  
Graphic Representations

AbstractFischer plots are widely used in paleoenvironmental research as graphic representations of sea- and lake-level changes through mapping linearly corrected variation of accumulative cycle thickness over cycle number or stratum depth. Some kinds of paleoenvironmental proxy data (especially subsurface data, such as natural gamma-ray logging data), which preserve continuous cyclic signals and have been largely collected, are potential materials for constructing Fischer Plots. However, it is laborious to count the cycles preserved in these proxy data manually and map Fischer plots with these cycles. In this paper, we introduce an original open-source Python code “PyFISCHERPLOT” for constructing Fischer Plots in batches utilizing paleoenvironmental proxy data series. The principle of constructing Fischer plots based on proxy data, the data processing and usage of the PyFISCHERPLOT code and the application cases of the code are presented. The code is compared with existing methods for constructing Fischer plots.

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