Application of Pattern Recognition to High-Resolution Gas Chromatographic Data Obtained from an Environmental Survey

1985 ◽  
pp. 69-82 ◽  
Author(s):  
John M. Hosenfeld ◽  
Karin M. Bauer
Keyword(s):  
Pattern Recognition ◽  
High Resolution ◽  
Chromatographic Data ◽  
Environmental Survey

Photogrammetric Investigation of the Flying Shape of Spinnakers in a Twisted Flow Wind Tunnel

2009 ◽  
Author(s):  
Kai Graf ◽  
Olaf Müller
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
High Resolution ◽  
Wind Tunnel ◽  
Wind Velocity ◽  
Digital Cameras ◽  
Pattern Recognition Methods ◽  
Twisted Flow ◽  
High Resolution Images ◽  
The Impact

This paper describes a method for the acquisition of the flying shape of spinnakers in a twisted flow wind tunnel. The method is based on photogrammetry. A set of digital cameras is used to obtain high resolution images of the spinnaker from different viewing angles. The images are post-processed using image-processing tools, pattern recognition methods and finally the photogrammetry algorithm. Results are shown comparing design versus flying shape of the spinnaker and the impact of wind velocity and wind twist on the flying shape. Finally some common rules for optimum spinnaker trimming are investigated and examined.

scholarly journals Classification of High-Resolution Manometry Data According to Videofluoroscopic Parameters Using Pattern Recognition

2013 ◽  
Vol 149 (1) ◽  
pp. 126-133 ◽  
Author(s):  
Matthew R. Hoffman ◽  
Corinne A. Jones ◽  
Zhixian Geng ◽  
Suzan M. Abelhalim ◽  
Chelsea C. Walczak ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
High Resolution ◽  
High Resolution Manometry

Quantum Dimension Reduction for Pattern Recognition in High-Resolution Spatio-Spectral Data

2020 ◽  
pp. 1-1
Author(s):  
Naveed Mahmud ◽  
Bennett Haase-Divine ◽  
Andrew MacGillivray ◽  
Esam El-Araby
Keyword(s):  
Pattern Recognition ◽  
High Resolution ◽  
Dimension Reduction ◽  
Spectral Data

What Are Present Limits of Quantitative High Resolution Tem?

1997 ◽  
Vol 3 (S2) ◽  
pp. 935-936
Author(s):  
Christian Kisielowski
Keyword(s):  
Pattern Recognition ◽  
High Resolution ◽  
High Resolution Electron Microscopy ◽  
Chemical Imaging ◽  
Atomic Scale ◽  
Lattice Image ◽  
Recognition Procedure ◽  
Unit Cells ◽  
High Resolution Tem ◽  
Lattice Images

In recent years quantitative high resolution electron microscopy (HREM) became a reliable tool to investigate physical processes at an atomic scale. Certainly, there is no unique approach to quantify the information content from lattice images. However, specific methods like Chemical Imaging^ and QUANTITEM were established that allow to investigate the atomic structure of crystalline solids quantitatively and almost routinely.Nevertheless, there are limits to the application of these methods and they are of principle and of practical nature. Obviously, the resolution of quantitative HRTEM is limited by the point resolution of modern microscopes that has reached 0.1 mn. However, the quantification of the information from lattice images requires two important steps, namely, the application of a pattern recognition procedure and the extraction of changes of the electron scattering potential from the lattice images. The application of the pattern recognition procedure influences the lateral resolution of the method because a lattice image has to be broken up into unit cells of identical size (figure 1).

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