QUANTITATIVE ANALYSIS OF PERFORMANCE AND STABILITY OF A LONG AND THIN GRAIN RICE GENOTYPE FOR RICE-GROWING REGION OF MICHOACAN, MEXICO

As part of an ongoing investigation into the effects of compressor fouling on gas turbine performance, the stage stacking technique was used in conjunction with generalized turbine characteristics to simulate the performance of two common pipeline engines, the G. E. LM2500 and the Solar Centaur. A linear fouling model was introduced that simulates the progressive buildup of contaminants in the compressor by modifying the appropriate stage flow and efficiency characteristics in a stepwise fashion. This simulation of the onset and progressive nature of compressor fouling allows quantitative analysis of performance deterioration to be performed on the basis of trends noted in monitored parameters. A preliminary study into how severely a given level of fouling will affect engines of different size indicated that stage loading may be the more critical parameter.

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Quantitative analysis of performance on a progressive-ratio schedule: effects of reinforcer type, food deprivation and acute treatment with Δ9-tetrahydrocannabinol (THC)

Behavioural Processes ◽

10.1016/j.beproc.2015.01.014 ◽

2015 ◽

Vol 113 ◽

pp. 122-131 ◽

Cited By ~ 14

Author(s):

C.M. Olarte-Sánchez ◽

L. Valencia-Torres ◽

H.J. Cassaday ◽

C.M. Bradshaw ◽

E. Szabadi

Keyword(s):

Quantitative Analysis ◽

Food Deprivation ◽

Acute Treatment ◽

Progressive Ratio ◽

Ratio Schedule ◽

Progressive Ratio Schedule ◽

Analysis Of Performance ◽

Schedule Effects

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A quantitative analysis of performance benefits of 3D die stacking on mobile and embedded SoC

2011 Design, Automation & Test in Europe ◽

10.1109/date.2011.5763214 ◽

2011 ◽

Author(s):

Dongki Kim ◽

Sungjoo Yoo ◽

Sunggu Lee ◽

Jung Ho Ahn ◽

Hyunuk Jung

Keyword(s):

Quantitative Analysis ◽

Die Stacking ◽

Analysis Of Performance ◽

Embedded Soc

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Comparative quantitative analysis of the effect of cultivar, wine growing region and vinification method on the protein profiles of some white wines

International Journal of Food Science & Technology ◽

10.1111/j.1365-2621.2001.00524.x ◽

2008 ◽

Vol 36 (7) ◽

pp. 759-766 ◽

Cited By ~ 1

Author(s):

M. R. Sarmento ◽

J. C. Oliveira ◽

M. Slatner ◽

R. B. Boulton

Keyword(s):

Quantitative Analysis ◽

Protein Profiles ◽

White Wines ◽

Growing Region

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Quantitative analysis of performance of selenium flat-panel detector for interventional mammography

10.1117/12.384540 ◽

2000 ◽

Cited By ~ 5

Author(s):

Anne Debrie ◽

Brad T. Polischuk ◽

Henri Rougeot ◽

Marc Hansroul ◽

Eric Poliquin ◽

...

Keyword(s):

Quantitative Analysis ◽

Flat Panel ◽

Flat Panel Detector ◽

Analysis Of Performance

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An Improved Quantitative Image Analyser

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100078663 ◽

1977 ◽

Vol 35 ◽

pp. 226-227

Author(s):

J.P. Fallon ◽

P.J. Gregory ◽

C.J. Taylor

Keyword(s):

Feature Extraction ◽

Quantitative Analysis ◽

Frequency Content ◽

General Sense ◽

Physical Measurements ◽

Quantitative Image ◽

Image Analyser ◽

Automatic Methods ◽

Quantitative Results

Quantitative image analysis systems have been used for several years in research and quality control applications in various fields including metallurgy and medicine. The technique has been applied as an extension of subjective microscopy to problems requiring quantitative results and which are amenable to automatic methods of interpretation.Feature extraction. In the most general sense, a feature can be defined as a portion of the image which differs in some consistent way from the background. A feature may be characterized by the density difference between itself and the background, by an edge gradient, or by the spatial frequency content (texture) within its boundaries. The task of feature extraction includes recognition of features and encoding of the associated information for quantitative analysis.Quantitative Analysis. Quantitative analysis is the determination of one or more physical measurements of each feature. These measurements may be straightforward ones such as area, length, or perimeter, or more complex stereological measurements such as convex perimeter or Feret's diameter.

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Quantification of Silica Uptake by Alveolar Macrophages - An Emperical Scanning Electron Microprobe Method

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100054297 ◽

1982 ◽

Vol 40 ◽

pp. 332-333

Author(s):

V. V. Damiano ◽

R. P. Daniele ◽

H. T. Tucker ◽

J. H. Dauber

Keyword(s):

Quantitative Analysis ◽

Alveolar Macrophages ◽

Bulk Sample ◽

Silica Particles ◽

Empirical Method ◽

Phagocytic Cells ◽

Calibration Standards ◽

X Ray ◽

Accurate Quantitative Analysis ◽

Scanning Electron

An important example of intracellular particles is encountered in silicosis where alveolar macrophages ingest inspired silica particles. The quantitation of the silica uptake by these cells may be a potentially useful method for monitoring silica exposure. Accurate quantitative analysis of ingested silica by phagocytic cells is difficult because the particles are frequently small, irregularly shaped and cannot be visualized within the cells. Semiquantitative methods which make use of particles of known size, shape and composition as calibration standards may be the most direct and simplest approach to undertake. The present paper describes an empirical method in which glass microspheres were used as a model to show how the ratio of the silicon Kα peak X-ray intensity from the microspheres to that of a bulk sample of the same composition correlated to the mass of the microsphere contained within the cell. Irregular shaped silica particles were also analyzed and a calibration curve was generated from these data.

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