Wyniki wyszukiwania - BazTech

1

Application of Chemometric Analysis to the Study of Snow at the Sudety Mountains, Poland

Błaś M., Polkowska Ż., Simeonov V., Tsakovski S., Sobik M., Kozak K., Namieśnik J.

Ecological Chemistry and Engineering. S

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2016

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Vol. 23, nr 4

621--637

EN

Snow samples were collected during winter 2011/2012 in three posts in the Western Sudety Mountains (Poland) in 3 consecutive phases of snow cover development, i.e. stabilisation (Feb 1st), growth (Mar 15th) and its ablation (Mar 27th). To maintain a fixed number of samples, each snow profile has been divided into six layers, but hydrochemical indications were made for each 10 cm section of core. The complete data set was subjected in the first run of chemometric data interpretation to Cluster Analysis as well as Principal Components Analysis. Further, Self-Organizing Maps, type of neutral network described by Kohonen were used for visualization and interpretation of large high-dimensional data sets. For each site the hierarchical Ward’s method of linkage, squared Euclidean distance as similarity measure, standardized raw data, cluster significance test according to Sneath’s criterion clustering of the chemical variables was done. Afterwards this grouping of the chemical variables was confirmed by the results from Principal Components Analysis. The major conclusion is that the whole system of three sampling sites four patterns of variable groupings are observed: the first one is related to the mineral salt impact; the second one - with the impact of secondary emissions and organic pollutants; next one - with dissolved matter effect and the last one - with oxidative influence, again with relation to anthropogenic activities like smog, coal burning, traffic etc. It might be also concluded that specificity of the samples is determined by the factors responsible for the data set structure and not by particular individual or time factors.

2

Application of multivariate statistical methods for characterizing heterolithic reservoirs based on wireline logs : example from the Carpathian Foredeep Basin (Middle Miocene, SE Poland)

Puskarczyk E., Jarzyna J., Porębski Sz.

Geological Quarterly

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2015

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Vol. 59, No. 1

157--168

EN

Principal Components Analysis (PCA) and Cluster Analysis (CA) were applied for well log data derived from heterolithic intervals drilled in two boreholes (Mrowla-1 and Cierpisz-2) in the Miocene fill of the Carpathian Foredeep. Both boreholes penetrated similar basement elevations conductive for structural trapping of hydrocarbons in an overlying thin-bedded heterolithic reservoir, which produces gas in commercial quantities in one borehole. The PCA was used to reduce data space preserving sufficient amounts of parameters for a differentiation between thin layers of sandstones and mudstones and between gas- and water-saturated horizons. In both boreholes, the number of logs was reduced to four significant principal components (PCs). Differences between gas-saturated and water-saturated layers were found. CA was used for the classification and grouping of data according to natural petrophysical features of the analysed rocks. The group corresponding to gas-saturated zones was found in the Cierpisz-2 borehole. It is concluded that PCA and CA can provide useful information for a more reliable identification of gas-saturated horizons.

3

Efektywność finansowa i techniczna regionalnych portów lotniczych w Polsce

Augustyniak W.

Przegląd Komunikacyjny

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2012

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Nr 2

8-15

PL

Celem niniejszego opracowania jest zbadanie polskich regionalnych portów lotniczych pod kątem efektywności finansowej i technicznej oraz wytypowanie benchmarków dla każdego z nich. Aby zrealizować powyższy cel zostały przeprowadzone kalkulacje modelem PCA-DEA osobno dla danych finansowych i technicznych. W obu przypadkach oszacowano efekt skali, jej siłę i kierunek. Wytypowana została strategiczna pozycja polskich portów lotniczych dla tle ich niemieckich odpowiedników. Następnie przeprowadzono analizę wag PCA-DEA w celu wyłonienia czynników, które w największym stopniu przyczyniły się do osiągniętych wyników efektywności.

EN

The aim of this study is to calculate financial and technical efficiency of the main Polish regional airports and to select benchmarks for each of them. To achieve this objective PCA-DEA analysis has been carried out separately for financial and technical data. In both cases strength and direction of the scale effect was estimated. Next strategic position of Polish airports their German counterparts was identified. Finally, an analysis of PCA-DEA weights was carried out to identify the most important factors influencing the results of efficiency.

4

Principal Components Analysis of Infrared Spectra of Liquid Acetylacetone

Czarnik-Matusewicz B., Matusiak-Kucharska M., Hawranek J. P.

Polish Journal of Chemistry

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2009

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Vol. 83, nr 5

999-1011

EN

The spectrum of the absorption index in the Mid-Infrared (MIR) region was determined for intramolecularly hydrogen-bonded liquid acetylacetone from transmission studies. In the MIR region very thin layers with thick nesses of a few micrometers had to be used to obtain reliable data. The keto-enol tautomeric equilibrium in the pure liquid was studied by Principal Components Analysis (PCA) of a set of temperature dependent MIR spectra in the range from 25 to 75 graduate C. Identifications for numerous bands observed in the liquid phase were proposed basing on the results obtained by means of the separation obtained in the loadings plot.

5

Generating new styles of Chinese strokes based on statistical model

Xu M., Dong J.

TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk

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2007

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Vol. 11, No 1-2

129-136

EN

Chinese calligraphy is one of the most important Chinese arts: a form of entertainment as well as an embodiment of figurative thinking. In this paper, a statistical model-based approach to generating new styles of Chinese character strokes is proposed. Original calligraphy samples are aligned in a common co-ordinate frame and a training set consisting of landmarks is generated semi-automatically. The most significant features of the training set are extracted and a statistical model is built in order to generate strokes in new styles. The Bezier curve is used to fit the discrete contour data.