248 Effects of compression on second order myocardial texture statistical analysis of digitally stored 2-D echocardiographic images

1999 ◽  
Vol 1 ◽  
pp. S43-S43
Author(s):  
E FERDEGHNINI ◽  
M MORALES ◽  
M PIACENTI
Keyword(s):  
Statistical Analysis ◽  
Second Order ◽  
Echocardiographic Images

Component statistical analysis of second order hidden periodicities

2014 ◽  
Vol 26 ◽  
pp. 50-70 ◽  
Author(s):  
I. Javorskyj ◽  
D. Dehay ◽  
I. Kravets
Keyword(s):  
Statistical Analysis ◽  
Second Order ◽  
Hidden Periodicities

scholarly journals Statistical analysis of second order effects variation with the stories height of reinforced concrete buildings

2017 ◽  
Vol 10 (2) ◽  
pp. 333-357
Author(s):  
D.M. OLIVEIRA ◽  
N.A. SILVA ◽  
C.C. RIBEIRO ◽  
S.E.C. RIBEIRO
Keyword(s):  
Reinforced Concrete ◽  
Statistical Analysis ◽  
Second Order ◽  
Order Effects ◽  
Reinforced Concrete Buildings ◽  
First Order ◽  
Concrete Buildings ◽  
Ideal Situation ◽  
Second Order Effects ◽  
The Ideal

Abstract In this paper the simplified method to evaluate final efforts using γ z coefficient is studied considering the variation of the second order effects with the height of the buildings. With this purpose, several reinforced concrete buildings of medium height are analyzed in first and second order using ANSYS software. Initially, it was checked that the (z coefficient should be used as magnifier of first order moments to evaluate final second order moments. Therefore, the study is developed considering the relation (final second order moments/ first order moments), calculated for each story of the structures. This moments relation is called magnifier of first order moments, "γ", and, in the ideal situation, it must coincide with the γ z value. However, it is observed that the reason γ /γ z varies with the height of the buildings. Furthermore, using an statistical analysis, it was checked that γ /γ z relation is generally lower than 1.05 and varies significantly in accordance with the considered building and with the presence or not of symmetry in the structure.

A second order statistical analysis of the Hyperanalytic Wavelet Transform

2010 ◽  
Author(s):  
Corina Nafornita ◽  
Ioana Firoiu ◽  
Dorina Isar ◽  
A. Isar ◽  
Jean-Marc Boucher
Keyword(s):  
Wavelet Transform ◽  
Statistical Analysis ◽  
Second Order

Statistical Analysis of a Set of Basin Waves

2011 ◽  
Author(s):  
Jule Scharnke ◽  
Janou Hennig
Keyword(s):  
Statistical Analysis ◽  
Wave Height ◽  
Water Depth ◽  
Water Waves ◽  
Rayleigh Distribution ◽  
Second Order ◽  
Distribution Functions ◽  
Wave Crest ◽  
Intermediate Water ◽  
Wave Measurements

In a recent paper the effect of variations in calibrated wave parameters on wave crest and height distributions was analyzed (OMAE2010-20304, [1]). Theoretical distribution functions were compared to wave measurements with a variation in water depth, wave seed (group spectrum) and location of measurement for the same initial power spectrum. The wave crest distribution of the shallow water waves exceeded both second-order and Rayleigh distribution. Whereas, in intermediate water depth the measured crests followed the second order distribution. The distributions of the measured waves showed that different wave seeds result in the same wave height and crest distributions. Measured wave heights were lower closer to the wave maker. In this paper the results of the continued statistical analysis of basin waves are presented with focus on wave steepness and their influence on wave height and wave crest distributions. Furthermore, the sampling variability of the presented cases is assessed.

First-order and second-order statistical analysis of 3d and 2d image structure

2007 ◽  
Vol 18 (2) ◽  
pp. 129-160 ◽  
Author(s):  
S. Kalkan ◽  
F. Wörgötter ◽  
N. Krüger
Keyword(s):  
Statistical Analysis ◽  
Second Order ◽  
Image Structure ◽  
First Order

scholarly journals Statistical analysis of surface roughness of machined graphite by means of CNC milling

2016 ◽  
Vol 36 (3) ◽  
pp. 89 ◽  
Author(s):  
Orquídea Sánchez López ◽  
Armando Rosas González ◽  
Ignacio Hernández Castillo
Keyword(s):  
Statistical Analysis ◽  
Feed Rate ◽  
Material Removal ◽  
Electrical Discharge Machining ◽  
Cutting Speed ◽  
Second Order ◽  
Numerical Control ◽  
Cnc Milling ◽  
Cutting Depth ◽  
Significant Factors

The aim of this research is to analyze the influence of cutting speed, feed rate and cutting depth on the surface finish of grade GSP-70 graphite specimens for use in electrical discharge machining (EDM) for material removal by means of Computer Numerical Control (CNC) milling with low-speed machining (LSM). A two-level factorial design for each of the three established factors was used for the statistical analysis. The analysis of variance (ANOVA) indicates that cutting speed and feed rate are the two most significant factors with regard to the roughness obtained with grade GSP-70 graphite by means of CNC milling. A second order regression analysis was also conducted to estimate the roughness average (Ra) in terms of the cutting speed, feed rate and cutting depth. Finally, the comparison between predicted roughness by means of a second order regression model and the roughness obtained by machined specimens considering the combinations of low and high levels of roughness is also presented.

scholarly journals Argyris and associates' orientations towards learning collectively: Can it be measured through self reports?

1997 ◽  
Vol 23 (2) ◽  
Author(s):  
C. Schmidt
Keyword(s):  
Factor Analysis ◽  
Statistical Analysis ◽  
Graduate Students ◽  
Theoretical Framework ◽  
Second Order ◽  
Self Report ◽  
Measuring Instrument ◽  
Post Graduate ◽  
Self Reports ◽  
Statistical Support

The purpose of this study was to investigate the feasibility of measuring interactional orientations towards learning collectively by means of a self report instrument. Based on the theoretical framework of Argyris and associates, a measuring instrument was constructed and subjected to statistical analysis. 317 post graduate students in the faculty of Economic and Management Sciences at the Rand Afrikaans University completed the inventory. A factor analysis yielded four second-order factors. The results of the study appear to lend statistical support to the nature of the most prevalent interactional strategies described in the literature. The implications of these findings are discussed.

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