scholarly journals Detection and Inspection Planning for Ship Propeller Blades via Spectral Shape Analysis

2019 ◽  
Vol 52 (10) ◽  
pp. 154-159
Author(s):  
Eirik B. Njaastad ◽  
Olav Egeland
Keyword(s):  
Shape Analysis ◽  
Spectral Shape ◽  
Inspection Planning ◽  
Propeller Blades ◽  
Ship Propeller

Numerically Controlled Machining of Propeller Blades

1989 ◽  
Vol 26 (03) ◽  
pp. 202-209
Author(s):  
Mark F. Nittel
Keyword(s):  
Operating Experience ◽  
Nc Machining ◽  
Machining Processes ◽  
The Past ◽  
Nc Programming ◽  
Machining Center ◽  
Blade Machining ◽  
Propeller Blades ◽  
Production Problems ◽  
Ship Propeller

This paper describes state-of-the-art manufacture of ship propeller blades with numerically controlled(NC) machining. A brief explanation of the rationale for NC machining is provided, followed by a discussion of the operating experience of a blade machining center over the past six years. Some of the unique considerations involved in the NC programming and machining processes are described along with some of the most common production problems. The factors leading to the company's decision to expand the blade machining center are discussed along with a description of the design and procurement of the new equipment and facilities. Tolerances achieved by NC machining and hand finishing are compared.

scholarly journals Hamiltonian Operator for Spectral Shape Analysis

2020 ◽  
Vol 26 (2) ◽  
pp. 1320-1331 ◽  
Author(s):  
Yoni Choukroun ◽  
Alon Shtern ◽  
Alex Bronstein ◽  
Ron Kimmel
Keyword(s):  
Shape Analysis ◽  
Hamiltonian Operator ◽  
Spectral Shape

scholarly journals The CTM4XAS program for EELS and XAS spectral shape analysis of transition metal L edges

Micron ◽  
2010 ◽  
Vol 41 (7) ◽  
pp. 687-694 ◽  
Author(s):  
Eli Stavitski ◽  
Frank M.F. de Groot
Keyword(s):  
Transition Metal ◽  
Shape Analysis ◽  
Spectral Shape

scholarly journals Spectral shape analysis of ultraviolet luminescence in n-type ZnO:Ga

2005 ◽  
Vol 98 (9) ◽  
pp. 093520 ◽  
Author(s):  
T. Makino ◽  
Y. Segawa ◽  
S. Yoshida ◽  
A. Tsukazaki ◽  
A. Ohtomo ◽  
...  
Keyword(s):  
Shape Analysis ◽  
Spectral Shape

Spectral shape analysis for contaminant logging at the Hanford site

1998 ◽  
Vol 45 (3) ◽  
pp. 997-1001
Author(s):  
R.D. Wilson ◽  
C.J. Koizumi ◽  
J.E. Meisner ◽  
D.C. Stromswold
Keyword(s):  
Shape Analysis ◽  
Spectral Shape ◽  
Hanford Site

scholarly journals Fluorescence spectral shape analysis for nucleotide identification

2019 ◽  
Vol 116 (31) ◽  
pp. 15386-15391
Author(s):  
Yun Huang ◽  
Zhiliang Li ◽  
April L. Risinger ◽  
Benjamin T. Enslow ◽  
Charles J. Zeman ◽  
...  
Keyword(s):  
Shape Analysis ◽  
Structural Changes ◽  
Spectral Shape ◽  
Selection Algorithm ◽  
Feature Selection Algorithm ◽  
Conjugated Polyelectrolyte ◽  
Theoretical Support ◽  
Photophysical Studies ◽  
Fluorescence Biosensor ◽  
Shape Changes

We report a conjugated polyelectrolyte fluorescence-based biosensor P-C-3 and a general methodology to evaluate spectral shape recognition to identify biomolecules using artificial intelligence. By using well-defined analytes, we demonstrate that the fluorescence spectral shape of P-C-3 is sensitive to minor structural changes and exhibits distinct signature patterns for different analytes. A method was also developed to select useful features to reduce computational complexity and prevent overfitting of the data. It was found that the normalized intensity of 3 to 5 selected wavelengths was sufficient for the fluorescence biosensor to classify 13 distinct nucleotides and distinguish as little as single base substitutions at distinct positions in the primary sequence of oligonucleotides rapidly with nearly 100% classification accuracy. Photophysical studies led to a model to explain the mechanism of these fluorescence spectral shape changes, which provides theoretical support for applying this method in complicated biological systems. Using the feature selection algorithm to measure the relative intensity of a few selected wavelengths significantly reduces measurement time, demonstrating the potential for fluorescence spectrum shape analysis in high-throughput and high-content screening.

Spectral Shape Analysis of Photoluminescence Excitation in Semiconductors

1996 ◽  
Vol 35 (Part 1, No. 1A) ◽  
pp. 120-123 ◽  
Author(s):  
Masatoshi Warashina ◽  
Michio Tajima
Keyword(s):  
Shape Analysis ◽  
Spectral Shape ◽  
Photoluminescence Excitation
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