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Wyświetlanie 1-2 z 2
Tytuł:
By-products from thermal processing of rubber waste as fuel for the internal combustion piston engine
Autorzy:
Chwist, Mariusz
Pyrc, Michał
Gruca, Michał
Szwaja, Magdalena
Powiązania:
https://bibliotekanauki.pl/articles/2097462.pdf
Data publikacji:
2020
Wydawca:
Polskie Towarzystwo Naukowe Silników Spalinowych
Tematy:
pyrolysis oil
thermal conversion
biocrude
diesel engine
alternative fuels
olej popirolityczny
konwersja termiczna
silnik diesla
paliwa alternatywne
Opis:
The article presents results of investigation on the combustion of a mixture of pyrolysis oil from tires and regular fuel in the internal combustion reciprocating piston engine. The tested fuel consisted of: diesel fuel and pyrolysis oil at amount of 10% by volume. The tests were carried out on a single-cylinder naturally aspirated compression-ignition engine. The engine was equipped with a common rail fuel injection system and an electronic control unit that allowed changing injection timing. A comparative analysis of pressure-volume charts for the reference fuel, which was diese fuel, and for a mixture of diesel with 10% addition of pyrolysis oil was carried out. Injector characteristics for the reference fuel and the mixture were determined. Engine efficiency for both fuels was also determined. Unrepeatability of the engine work cycles for the diesel fuel and the tested mixture was calculated. Finally, exhaust toxic emission was analyzed. It was found that the pyrolysis oil can be used as valuable additive to regular diesel fuel at amount up to 10%, however, toxic exhaust gases emission was increased.
Źródło:
Combustion Engines; 2020, 59, 2; 11--18
2300-9896
2658-1442
Pojawia się w:
Combustion Engines
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Enhancement of COVID-19 symptom-based screening with quality-based classifier optimisation
Autorzy:
Kozielski, Michał
Henzel, Joanna
Tobiasz, Joanna
Gruca, Aleksandra
Foszner, Paweł
Zyla, Joanna
Bach, Małgorzata
Werner, Aleksandra
Jaroszewicz, Jerzy
Polańska, Joanna
Sikora, Marek
Powiązania:
https://bibliotekanauki.pl/articles/2086854.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
classification
classification quality
screening
COVID-19
klasyfikacja
jakość klasyfikacji
badania przesiewowe
Opis:
Efforts of the scientific community led to the development of multiple screening approaches for COVID-19 that rely on machine learning methods. However, there is a lack of works showing how to tune the classification models used for such a task and what the tuning effect is in terms of various classification quality measures. Understanding the impact of classifier tuning on the results obtained will allow the users to apply the provided tools consciously. Therefore, using a given screening test they will be able to choose the threshold value characterising the classifier that gives, for example, an acceptable balance between sensitivity and specificity. The presented work introduces the optimisation approach and the resulting classifiers obtained for various quality threshold assumptions. As a result of the research, an online service was created that makes the obtained models available and enables the verification of various solutions for different threshold values on new data.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 4; e137349, 1--8
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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