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Wyświetlanie 1-3 z 3
Tytuł:
Analyzing the variations in roundness profile parameters during the wavelet decomposition process using the MATLAB environment
Autorzy:
Adamczak, S.
Makieła, W.
Powiązania:
https://bibliotekanauki.pl/articles/221022.pdf
Data publikacji:
2011
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
mother wavelet
Fourier transform
wavelet transform
surface texture
surface roundness
roundness profile parameters
Opis:
Signal analysis performed during surface texture measurement frequently involves applying the Fourier transform. The method is particularly useful for assessing roundness and cylindrical profiles. Since the wavelet transform is becoming a common tool for signal analysis in many metrological applications, it is vital to evaluate its suitability for surface texture profiles. The research presented in this paper focused on signal decomposition and reconstruction during roundness profile measurement and the effect of these processes on the changes in selected roundness profile parameters. The calculations were carried out on a sample of 100 roundness profiles for 12 different forms of mother wavelets using MATLAB. The use of Spearman's rank correlation coefficients allowed us to evaluate the relationship between the two chosen criteria for selecting the optimal mother wavelet.
Źródło:
Metrology and Measurement Systems; 2011, 18, 1; 25-33
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Thermovision determination of the furnace chamber environment temperature using the technical black-body model
Autorzy:
Musiał, D.
Wyczółkowski, R.
Powiązania:
https://bibliotekanauki.pl/articles/239977.pdf
Data publikacji:
2010
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
ciało czarne
pomiar temperatury
termowizja
black body
temperature measurements
thermovision
Opis:
The article describes the methodology for the determination of ambient temperature for thermovision measurements. The adopted methodology consists in the use of the technical blackbody model. Determining the value of the ambient temperature parameter makes it possible to enhance the accuracy of temperature measurement of objects exposed to strong irradiation using a thermovision camera.
Źródło:
Archives of Thermodynamics; 2010, 31, 4; 25-35
1231-0956
2083-6023
Pojawia się w:
Archives of Thermodynamics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An enhanced performance evaluation of workflow computing and scheduling using hybrid classification approach in the cloud environment
Autorzy:
Tharani, P.
Kalpana, A. M.
Powiązania:
https://bibliotekanauki.pl/articles/2086824.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
cloud
workflow scheduling
machine learning
CNN
AlexNet
chmura
planowanie przepływu pracy
nauczanie maszynowe
Opis:
Workflow scheduling is the major problem in cloud computing consists of a set of interdependent tasks which is used to solve the various scientific and healthcare issues. In this research work, the cloud based workflow scheduling between different tasks in medical imaging datasets using Machine Learning (ML) and Deep Learning (DL) methods (hybrid classification approach) is proposed for healthcare applications. The main objective of this research work is to develop a system which is used for both workflow computing and scheduling in order to minimize the makespan, execution cost and to segment the cancer region in the classified abnormal images. The workflow computing is performed using different Machine Learning classifiers and the workflow scheduling is carried out using Deep Learning algorithm. The conventional AlexNet Convolutional Neural Networks (CNN) architecture is modified and used for workflow scheduling between different tasks in order to improve the accuracy level. The AlexNet architecture is analyzed and tested on different cloud services Amazon Elastic Compute Cloud- EC2 and Amazon Lightsail with respect to Makespan (MS) and Execution Cost (EC).
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 4; e137728, 1--9
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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