Modelling of Fischer-Tropsch catalytic synthesis by pattern recognition method. Chemisorption of hydrogen on metals

1981 ◽  
Vol 46 (10) ◽  
pp. 2328-2335 ◽  
Author(s):  
Karel Kuchynka ◽  
Jiří Fusek ◽  
Oldřich Štrouf
Keyword(s):  
Catalytic Synthesis ◽  
Pattern Recognition Method ◽  
Recognition Method ◽  
Fischer Tropsch ◽  
Independent Variables ◽  
Chemical Significance ◽  
Physico Chemical ◽  
Physical Variables ◽  
Fundamental Physical

Forty nine metals characterized by a set of fifteen fundamental physical variables were classified with respect to chemisorption of hydrogen. Dimensionality reduction of this physical model led to the determination of nine linearly almost independent variables. This reduced set discriminated the chemisorbing metals from the inactive ones to a satisfactory extent. The physico-chemical significance of these variables for the chemisorption of hydrogen as one of the elementary steps of Fischer-Tropsch catalytic process is discussed.

Modelling of the catalytic Fischer-Tropsch synthesis by pattern recognition. Chemisorption and dissociation of carbon monoxide on metals

1981 ◽  
Vol 46 (10) ◽  
pp. 2336-2344 ◽  
Author(s):  
Oldřich Štrouf ◽  
Karel Kuchynka ◽  
Jiří Fusek
Keyword(s):  
Pattern Recognition ◽  
Carbon Monoxide ◽  
Transition Metals ◽  
Dimensionality Reduction ◽  
Fischer Tropsch ◽  
Chemical Significance ◽  
Physico Chemical ◽  
Dependent Variables ◽  
Physical Importance ◽  
Weakly Dependent

A set of forty nine metals was classified with respect to chemisorption of carbon monoxide and a set of nineteen transition metals was similarly treated with respect to dissociation of the chemisorbed molecule. In both cases the metals were characterized by a set of fifteen variables of basic physical importance. Dimensionality reduction yielded eight linearly weakly dependent variables related to chemisorption of CO whereas the reduced set for dissociation had four parameters only. The physico-chemical significance of the characterizing linearly weakly dependent variables is discussed.

Entropy Approach to Comparison of Images

2001 ◽  
Vol 08 (02) ◽  
pp. 183-199 ◽  
Author(s):  
E. N. Kirsanova ◽  
M. G. Sadovsky
Keyword(s):  
Pattern Recognition ◽  
Digital Images ◽  
Arithmetic Mean ◽  
Pattern Recognition Method ◽  
Recognition Method ◽  
Frequency Dictionary ◽  
Preliminary Results ◽  
Basic Properties ◽  
Specific Entropy

Basically new pattern recognition method is implemented to compare two (or several) digital images. The method has neither feature alphabet, nor pattern dictionary recovery stages. It compares input images due to a special object called palette built from fragments of images. The measures to estimate the distances between images are based on a determination of the specific entropy of the frequency dictionary of an image with respect to the palette; that latter presents the statistical ancestor of the group of the images under comparison. The palette is defined as the frequency dictionary with frequencies of the fragments equal to arithmetic mean of the frequencies of the same fragments from the images to be compared. Such definition yields a minimum of the sum of specific entropies of the compared images with respect to the palette. Some preliminary results in the application of the method in pattern recognition and synergistics problems are presented. The limitations and basic properties of the method are discussed.

Development and Pharmacokinetics Study of Antifungal Peptide Nanoliposomes by Liquid Chromatography-tandem Mass Spectrometry

2019 ◽  
Vol 15 (4) ◽  
pp. 312-318
Author(s):  
Shuoye Yang
Keyword(s):  
Mass Spectrometry ◽  
Biological Properties ◽  
Pharmacokinetic Property ◽  
Antifungal Peptide ◽  
Simple Liquid ◽  
Physico Chemical ◽  
Liquid Chromatography Tandem Mass ◽  
Pegylated Lipids

Background: The therapeutic ability and application of antifungal peptide (APs) are limited by their physico-chemical and biological properties, the nano-liposomal encapsulation would improve the in vivo circulation and stability. </P><P> Objective: To develop a long-circulating liposomal delivery systems encapsulated APs-CGA-N12 with PEGylated lipids and cholesterol, and investigated through in vivo pharmacokinetics. Methods: The liposomes were prepared and characterized, a rapid and simple liquid chromatographytandem mass spectrometry (LC-MS/MS) assay was developed for the determination of antifungal peptide in vivo, the pharmacokinetic characteristics of APs liposomes were evaluated in rats. Results: Liposomes had a large, unilamellar structure, particle size and Zeta potential ranged from 160 to 185 nm and -0.55 to 1.1 mV, respectively. The results indicated that the plasma concentration of peptides in reference solutions rapidly declined after intravenous administration, whereas the liposomeencapsulated ones showed slower elimination. The AUC(0-∞) was increased by 3.0-fold in liposomes in comparison with standard solution (20 mg·kg-1), the half-life (T1/2) was 1.6- and 1.5-fold higher compared to the reference groups of 20 and 40 mg·kg-1, respectively. Conclusion: Therefore, it could be concluded that liposomal encapsulation effectively improved the bioavailability and pharmacokinetic property of antifungal peptides.

scholarly journals Research on Pattern Recognition Method of Blockage Signal in Pipeline Based on LMD Information Entropy and ELM

2017 ◽  
Vol 2017 ◽  
pp. 1-16 ◽  
Author(s):  
Jingzong Yang ◽  
Xiaodong Wang ◽  
Zao Feng ◽  
Guoyong Huang
Keyword(s):  
Pattern Recognition ◽  
Impulse Response ◽  
Information Entropy ◽  
Operating Conditions ◽  
Support Vector ◽  
Entropy Theory ◽  
Pattern Recognition Method ◽  
Response Signal ◽  
Recognition Method ◽  
Learning Machine

Aiming at the nonstationary and nonlinear characteristics of acoustic impulse response signal in pipeline blockage and the difficulty in identifying the different degrees of blockage, this paper proposed a pattern recognition method based on local mean decomposition (LMD), information entropy theory, and extreme learning machine (ELM). Firstly, the impulse response signals of pipeline extracted in different operating conditions were decomposed with LMD method into a series of product functions (PFs). Secondly, based on the information entropy theory, the appropriate energy entropy, singular spectrum entropy, power spectrum entropy, and Hilbert spectrum entropy were extracted as the input feature vectors. Finally, ELM was introduced for classification of pipeline blockage. Through the analysis of acoustic impulse response signal collected under the condition of health and different degrees of blockages in pipeline, the results show that the proposed method can well characterize the state information. Also, it has a great advantage in terms of accuracy and it is time consuming when compared with the support vector machine (SVM) and BP (backpropagation) model.

scholarly journals Some indicators of water quality of the Tamis river

2011 ◽  
Vol 17 (1) ◽  
pp. 107-115 ◽  
Author(s):  
Nada Babovic ◽  
Dejan Markovic ◽  
Vojkan Dimitrijevic ◽  
Dragan Markovic
Keyword(s):  
Water Quality ◽  
Ph Value ◽  
Ammonium Nitrogen ◽  
Field Analysis ◽  
Total Hardness ◽  
Chemical Parameters ◽  
Physico Chemical

This paper shows the results obtained in field analysis performed at the Tamis River, starting from the settlement Jasa Tomic - border between Serbia and Romania to Pancevo - confluence of Tamis into the Danube. The Tamis is a 359 km long river rising in the southern Carpathian Mountains. It flows through the Banat region and flows into the Danube near Pancevo. During the years the water quality of the river has severely deteriorated and badly affected the environment and the river ecosystem. In situ measurements enabled determination of physico-chemical parameters of water quality of the Tamis River on every 400 m of the watercourse, such as: water temperature, pH value, electrical conductivity, contents of dissolved oxygen and oxygen saturation. The main reason of higher pollution of Tamis is seen in connection to DTD hydro system. Sampling was performed at 7 points with regard to color, turbidity, total hardness, alkalinity, concentration of ammonium nitrogen, nitrite nitrogen, nitrate nitrogen, iron, chlorides and sulphates in samples. The aim of the present work was to evaluate water quality in the Tamis River taking into account significant pollution, which originates from settlements, industry and agriculture, and to suggest appropriate preventive measures to further pollution decreasing of the river's water.

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