Prediction of Homogeneous Azeotropes with Interval Analysis Techniques Exploiting Topological Considerations

2001 ◽  
Vol 40 (6) ◽  
pp. 1580-1588 ◽  
Author(s):  
Enrique Salomone ◽  
José Espinosa
Keyword(s):  
Interval Analysis ◽  
Analysis Techniques

Application of Interval Analysis Techniques to Linear Systems

1987 ◽  
Vol 20 (5) ◽  
pp. 251-256
Author(s):  
A.N. Michel ◽  
E.P. Oppenheimer
Keyword(s):  
Linear Systems ◽  
Interval Analysis ◽  
Analysis Techniques

Interval-analysis techniques in linear systems: An application in power systems

1993 ◽  
Vol 12 (1) ◽  
pp. 51-60
Author(s):  
A. N. Michel ◽  
M. A. Pai ◽  
H. F. Sun ◽  
C. Kulig
Keyword(s):  
Power Systems ◽  
Linear Systems ◽  
Interval Analysis ◽  
Analysis Techniques

Estimation of surface water quality in a Yazoo River tributary using the duration curve and recurrence interval approach

2013 ◽  
Vol 13 (2) ◽  
pp. 515-523 ◽  
Author(s):  
Ying Ouyang ◽  
Prem B. Parajuli ◽  
Daniel A. Marion
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Water Temperature ◽  
Interval Analysis ◽  
Specific Conductivity ◽  
Oxygen Demand ◽  
Surface Water Quality ◽  
Recurrence Interval ◽  
Analysis Techniques ◽  
Deer Creek

Pollution of surface water with harmful chemicals and eutrophication of rivers and lakes with excess nutrients are serious environmental concerns. This study estimated surface water quality in a stream within the Yazoo River Basin (YRB), Mississippi, USA, using the duration curve and recurrence interval analysis techniques. Data from the US Geological Survey (USGS) surface water monitoring station located in Deer Creek east of Leland from the YRB were selected for the analysis. Results showed that the water quality constituents, namely water temperature, specific conductivity (SC) and dissolved oxygen (DO), in this stream were found not to be the major concerns as the percentages of the time when these constituents did not meet their criteria were very low. Our results further revealed that the water temperature and SC increased as time elapsed, indicating the potential global warming and contamination impacts in this stream. In contrast, the DO and pH decreased as time elapsed, postulating a potential increase in biochemical oxygen demand and an acidic trend in this stream. Over the last decade, the average recurrence intervals when the water temperature, SC, and DO did not meet their criteria or minimum conditions were around 1 year. Using a target DO value of 429 kg d−1 proposed by the Mississippi Department of Environmental Quality, results from this study showed that there was about 25% of the time when the DO load did not meet the target value. This study suggests that the duration curve and recurrence interval analysis techniques are useful statistical tools for water quality trend estimation.

An example of spectrum imaging used for comparison of EELS quantitative analysis techniques on Al-Li

1991 ◽  
Vol 49 ◽  
pp. 726-727
Author(s):  
John A. Hunt
Keyword(s):  
Quantitative Analysis ◽  
Large Data ◽  
Difference Spectrum ◽  
Large Data Sets ◽  
Foil Thickness ◽  
Data Sets ◽  
Analysis Techniques ◽  
Spectrum Imaging ◽  
Normal Spectrum ◽  
Electron Energy Loss

Spectrum-imaging is a useful technique for comparing different processing methods on very large data sets which are identical for each method. This paper is concerned with comparing methods of electron energy-loss spectroscopy (EELS) quantitative analysis on the Al-Li system. The spectrum-image analyzed here was obtained from an Al-10at%Li foil aged to produce δ' precipitates that can span the foil thickness. Two 1024 channel EELS spectra offset in energy by 1 eV were recorded and stored at each pixel in the 80x80 spectrum-image (25 Mbytes). An energy range of 39-89eV (20 channels/eV) are represented. During processing the spectra are either subtracted to create an artifact corrected difference spectrum, or the energy offset is numerically removed and the spectra are added to create a normal spectrum. The spectrum-images are processed into 2D floating-point images using methods and software described in [1].

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