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Wyszukujesz frazę "Cudak, Magdalena" wg kryterium: Autor


Wyświetlanie 1-3 z 3
Tytuł:
The effect of vessel scale on gas hold-up in gas-liquid systems
Autorzy:
Cudak, Magdalena
Powiązania:
https://bibliotekanauki.pl/articles/2034059.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
agitated vessel
mixing
gas hold-up
aqueous sucrose solution
mieszanie
zatrzymywanie gazu
wodny roztwór sacharozy
Opis:
The aim of the research presented in this paper was to determine the effect of vessel scale on gas hold- up in gas-liquid systems. The agitated vessel with internal diameters of T = 0:288 m and T = 0:634 m was filled with a liquid up to the height H = T. For the purpose of measurements, two high-speed impellers were used: Rushton turbine impeller (RT) or A 315 impeller.Within the study, the following parameters were altered: superficial gas velocity, impeller speed, impeller type and concentration of aqueous sucrose solution. In addition, influence of the vessel scale on gas hold-up value was analysed. Experimental results were mathematically described. Equations (5)–(7) do not have equivalents in the literature.
Źródło:
Chemical and Process Engineering; 2020, 41, 4; 241-256
0208-6425
2300-1925
Pojawia się w:
Chemical and Process Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Sparse data classifier based on first-past-the-post voting system
Autorzy:
Cudak, Magdalena
Piech, Mateusz
Marcjan, Robert
Powiązania:
https://bibliotekanauki.pl/articles/27312911.pdf
Data publikacji:
2022
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
POI
machine learning
geospatial data
data science
first-past-the-post
random forest
point of interest
Opis:
A point of interest (POI) is a general term for objects that describe places from the real world. The concept of POI matching (i.e., determining whether two sets of attributes represent the same location) is not a trivial challenge due to the large variety of data sources. The representations of POIs may vary depending on the basis of how they are stored. A manual comparison of objects is not achievable in real time; therefore, there are multiple solutions for automatic merging. However, there is no yet the efficient solution solves the missing of the attributes. In this paper, we propose a multi-layered hybrid classifier that is composed of machine-learning and deep-learning techniques and supported by a first-past-the-post voting system. We examined different weights for the constituencies that were taken into consideration during a majority (or supermajority) decision. As a result, we achieved slightly higher accuracy than the best current model (random forest), which also is based on voting.
Źródło:
Computer Science; 2022, 23 (2); 277--296
1508-2806
2300-7036
Pojawia się w:
Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Agitation efficiency of different physical systems
Autorzy:
Karcz, Joanna
Szoplik, Jolanta
Major-Godlewska, Marta
Cudak, Magdalena
Kiełbus-Rąpała, Anna
Powiązania:
https://bibliotekanauki.pl/articles/2086781.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
agitated vessel
power consumption
mixing time
heat and mass transfer
gas hold-up
wzburzony statek
pobór energii
czas mieszania
wymiana ciepła i masy
zatrzymywanie gazu
Opis:
Efficiency of agitation was considered for different physical systems on the basis of our own experimental studies on homogenisation, heat and mass transfer as well as gas hold-up. Measurements were performed for different physical systems: Newtonian liquids of low and higher viscosity, pseudoplastic liquid, gas–liquid and gas–solid–liquid systems agitated in vessels of the working volume from 0.02 m3 to 0.2 m3. Agitated vessels of different design were equipped with a high-speed impeller (10 impellers were tested). Comparative analysis of the experimental results proved that energy inputs (power consumption) should be taken into account as a very important factor when agitation efficiency is evaluated in order to select a proper type of equipment. When this factor is neglected in the analysis, intensification of the process can be estimated only.
Źródło:
Chemical and Process Engineering; 2021, 42, 2; 139--156
0208-6425
2300-1925
Pojawia się w:
Chemical and Process Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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