scholarly journals Automated Analysis Technique Developed for Detection of ODSCC on the Tubes of OPR1000 Steam Generator

2013 ◽  
Vol 33 (6) ◽  
pp. 519-523
Author(s):  
In Chul Kim ◽  
Min Woo Nam
Keyword(s):  
Steam Generator ◽  
Automated Analysis ◽  
Analysis Technique

Automated Analysis of SEM X-Ray Spectral Images: A Powerful New Microanalysis Tool

2003 ◽  
Vol 9 (1) ◽  
pp. 1-17 ◽  
Author(s):  
Paul G. Kotula ◽  
Michael R. Keenan ◽  
Joseph R. Michael
Keyword(s):  
Image Data ◽  
Large Data ◽  
Automated Analysis ◽  
Phase Identification ◽  
Data Sets ◽  
Multivariate Statistical ◽  
X Ray ◽  
Analysis Technique ◽  
Statistical Analysis Technique ◽  
Multi Phase

Spectral imaging in the scanning electron microscope (SEM) equipped with an energy-dispersive X-ray (EDX) analyzer has the potential to be a powerful tool for chemical phase identification, but the large data sets have, in the past, proved too large to efficiently analyze. In the present work, we describe the application of a new automated, unbiased, multivariate statistical analysis technique to very large X-ray spectral image data sets. The method, based in part on principal components analysis, returns physically accurate (all positive) component spectra and images in a few minutes on a standard personal computer. The efficacy of the technique for microanalysis is illustrated by the analysis of complex multi-phase materials, particulates, a diffusion couple, and a single-pixel-detection problem.

Automated Analysis of Contact Angle Goniometry Data Using DropPy

2020 ◽  
Author(s):  
Michael Orella ◽  
McLain Leonard ◽  
Yuriy Román-Leshkov ◽  
Fikile Brushett
Keyword(s):  
Contact Angle ◽  
Form Factors ◽  
Automated Analysis ◽  
Drop Shape ◽  
Axisymmetric Drop Shape Analysis ◽  
Software Packages ◽  
Analysis Technique ◽  
Angle Data ◽  
Data Collection And Analysis ◽  
Contact Angle Data

<p>Despite advances in contact angle data collection and analysis, the opacity inherent to automated options forces most non-expert researchers to rely on manual techniques and limit assessment of available data. In tandem, with the emergence of inexpensive and powerful hardware in increasingly small form-factors, the development of robust and versatile software packages would enable interrogation of wetting phenomena across a range of platforms. Here, we introduce DropPy, an open-source Python implementation of the classic axisymmetric drop shape analysis technique to fit droplet profiles from images automatically while providing an easy interface through which casual users may interpret their findings.</p>

Automated Analysis of Contact Angle Goniometry Data Using DropPy

2020 ◽  
Author(s):  
Michael Orella ◽  
McLain Leonard ◽  
Yuriy Román-Leshkov ◽  
Fikile Brushett
Keyword(s):  
Contact Angle ◽  
Form Factors ◽  
Automated Analysis ◽  
Drop Shape ◽  
Axisymmetric Drop Shape Analysis ◽  
Software Packages ◽  
Analysis Technique ◽  
Angle Data ◽  
Data Collection And Analysis ◽  
Contact Angle Data

<p>Despite advances in contact angle data collection and analysis, the opacity inherent to automated options forces most non-expert researchers to rely on manual techniques and limit assessment of available data. In tandem, with the emergence of inexpensive and powerful hardware in increasingly small form-factors, the development of robust and versatile software packages would enable interrogation of wetting phenomena across a range of platforms. Here, we introduce DropPy, an open-source Python implementation of the classic axisymmetric drop shape analysis technique to fit droplet profiles from images automatically while providing an easy interface through which casual users may interpret their findings.</p>

scholarly journals Assessing the physiological quality of common bean seeds using the Vigor-S® system and its relation to the accelerated aging test

2019 ◽  
Vol 41 (2) ◽  
pp. 187-195 ◽  
Author(s):  
André Dantas de Medeiros ◽  
Laércio Junio da Silva ◽  
Nayara Pereira Capobiango ◽  
Camila Andrade Fialho ◽  
Denise Cunha Fernandes dos Santos Dias
Keyword(s):  
Common Bean ◽  
Seedling Emergence ◽  
Primary Root ◽  
Accelerated Aging ◽  
Growth Index ◽  
Automated Analysis ◽  
Seed Vigor ◽  
Analysis Technique ◽  
Physiological Quality

Abstract: Automated analysis of seed vigor stands out by allowing greater accuracy, standardization, objectivity, and speed in evaluation of the physiological potential of seed lots. The objective of this study was to evaluate the efficiency of the Vigor-S® system in assessing the physiological quality of common bean seeds compared to the information provided by the traditional vigor tests recommended for this species. Four genotypes of common bean were used, each one represented by four seed lots. Characterization of the physiological potential of the lots was carried out by the following tests: germination, first count of germination, seedling emergence, accelerated aging, and electrical conductivity. The results of these tests were compared with the data obtained from the image analysis technique, specifically the Vigor-S® system, which was used to evaluate seedling growth at two, three, and four days after the beginning of the germination test. Shoot length, primary root length, and seedling length were measured, as well as the growth index, uniformity index, and vigor index were calculated. Computerized analysis of seedling images using the Vigor-S® software is a reliable alternative for evaluation the physiological potential of bean seeds, and it produces information similar to evaluations traditionally used for that purpose.

An automated analysis technique for thallium images

1989 ◽  
Vol 10 (3) ◽  
pp. 259-266
Author(s):  
W Martin ◽  
A C Tweddel ◽  
A I McGhie ◽  
I Hutton
Keyword(s):  
Automated Analysis ◽  
Analysis Technique

scholarly journals Automated analysis of platelet microstructures using a feature length orientation space

2022 ◽  
Author(s):  
A. Campbell ◽  
P. Murray ◽  
E. Yakushina ◽  
A. Borocco ◽  
P. Dokladal ◽  
...  
Keyword(s):  
Human Error ◽  
Volume Fraction ◽  
Microstructural Analysis ◽  
Automated Analysis ◽  
Automated Image Analysis ◽  
Wide Field ◽  
Orientation Space ◽  
Analysis Technique ◽  
New Feature ◽  
Manual Interaction

AbstractThe ability to measure elongated structures such as platelets and colonies, is an important step in the microstructural analysis of many materials. Widely used techniques and standards require extensive manual interaction making them slow, laborious, difficult to repeat and prone to human error. Automated approaches have been proposed but often fail when analysing complex microstructures. This paper addresses these challenges by proposing a new, automated image analysis technique, to reliably assess platelet microstructure. Tools from Mathematical Morphology are designed to probe the image and map the response onto a new feature-length orientation space (FLOS). This enables automated measurement of key microstructural features such as platelet width, orientation, globular volume fraction, and colony size. The method has a wide field of view, low dependency on input parameters, and does not require prior thresholding, common in other automated analysis techniques. Multiple datasets of complex Titanium alloys were used to evaluate the new techniques which are shown to match measurements from expert materials scientists using recognized standards, while drastically reducing measurement time and ensuring repeatability. The per-pixel measurement style of the technique also allows for the generation of useful colourmaps, that aid further analysis and provide evidence to increase user confidence in the quantitative measurements.

Automated analysis of rotating probe multi-frequency eddy current data from steam generator tubes

2001 ◽  
Vol 12 (3-4) ◽  
pp. 151-164 ◽  
Author(s):  
P. Xiang ◽  
S. Ramakrishnan ◽  
X. Cai ◽  
P. Ramuhalli ◽  
R. Polikar ◽  
...  
Keyword(s):  
Steam Generator ◽  
Eddy Current ◽  
Automated Analysis ◽  
Current Data ◽  
Steam Generator Tubes

scholarly journals “Analysis on CBIR System for ECG Reports”

2020 ◽  
Vol 9 (5) ◽  
pp. 586-592
Keyword(s):  
Heart Attack ◽  
Automated Analysis ◽  
Comparison Analysis ◽  
Common People ◽  
Heart Attacks ◽  
The People ◽  
Analysis Technique ◽  
Long Time ◽  
The Difference ◽  
Data Documentation

Predicting the reason and rate of accuracy on heart attacks from ECG reports is a major obsession. The automated analysis technique will age out the problems of common people in understanding the cause for heart attack. This approach has put a serious discussion platform for the analysis of a CBIR system for ECG reports. As the brisk growth of securable image information and a maximum requirement for data documentation indexing and rectification, many scholars, researchers, and scientists worked a lot on the ECG graph report. The aim of this work is to offer a comparative analysis of the several techniques and methods that were used and applied to extricate features from ECG graph reports. Comparison analysis will help the researches and scholars to choose a suitable technique or method for future scope. Several applications of feature extraction and verification are done by many types of research such as heart attack identification based on the feature. Heart attack searching by a doctor is old and required a very long time to identify a stroke. Detecting heart attack from the ECG report is demanding due to misconception, negligence, delay, the difference among the people based on age, gender and so on. Therefore the important work is to furnish an analysis of the accuracy of widely used methods by scholars and researchers in extricating features of the ECG graph reports. Finally, the results of various methods for extricating a feature from the ECG graph reports analyzed vigorously and comparison analysis effort helps the researches to slip out the time complexity in searching for different integration tasks.

Strain analysis in composite ceramics

1986 ◽  
Vol 44 ◽  
pp. 494-497
Author(s):  
W. M. Kriven
Keyword(s):  
Strain Field ◽  
Strain Analysis ◽  
Processing Temperature ◽  
Transformation Toughening ◽  
Zirconia Ceramics ◽  
Volume Increase ◽  
Analysis Technique ◽  
Fundamental Understanding ◽  
Contrast Analysis ◽  
Elastic Strain Field

Significant progress towards a fundamental understanding of transformation toughening in composite zirconia ceramics was made possible by the application of a TEM contrast analysis technique for imaging elastic strains. Spherical zirconia particles dispersed in a large-grained alumina matrix were examined by 1 MeV HVEM to simulate bulk conditions. A thermal contraction mismatch arose on cooling from the processing temperature of 1500°C to RT. Tetragonal ZrO2 contracted amisotropically with α(ct) = 16 X 10-6/°C and α(at) = 11 X 10-6/°C and faster than Al2O3 which contracted relatively isotropically at α = 8 X 10-6/°C. A volume increase of +4.9% accompanied the transformation to monoclinic symmetry at room temperature. The elastic strain field surrounding a particle before transformation was 3-dimensionally correlated with the internal crystallographic orientation of the particle and with the strain field after transformation. The aim of this paper is to theoretically and experimentally describe this technique using the ZrO2 as an example and thereby to illustrate the experimental requirements Tor such an analysis in other systems.

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