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Wyświetlanie 1-2 z 2
Tytuł:
Practical aspects of testing superconducting electromagnets by the capacitor discharge method taking into account the non-linearity of circuit parameters
Autorzy:
Michna, Michał
Wilk, Andrzej
Wołoszyk, Marek
Ziółko, Michał
Galla, Stanisław
Szwangruber, Piotr
Powiązania:
https://bibliotekanauki.pl/articles/24202739.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
diagnostic
discharge method
superconducting electromagnets
Opis:
The article presents selected issues related to the development and testing of the diagnostics systems dedicated for superconducting electromagnets. The systems were con- structed to assess the production quality of superconducting electromagnets of the SIS100 synchrotron, a new accelerator being built as part of the Facility of Antiproton and Ion Re- search (FAIR). One of the systems is used for automatic checking of electrical connection parameters and the continuity of electric circuits. The role of the second device is to assess the quality of winding insulation and to estimate circuit parameters of electromagnet coils using the capacitor discharge method. The work presents measurements and analysis of current and voltage waveforms acquired during discharges on a magnet coil simulator and on the SIS100 main dipole electromagnet.
Źródło:
Archives of Electrical Engineering; 2023, 72, 2; 323--338
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Speech Analysis as a Tool for Detection and Monitoring of Medical Conditions : A review
Autorzy:
Igras-Cybulska, Magdalena
Hemmerling, Daria
Ziółko, Mariusz
Datka, Wojciech
Stogowska, Ewa
Kucharski, Michał
Rzepka, Rafał
Ziółko, Bartosz
Powiązania:
https://bibliotekanauki.pl/articles/31339837.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
speech analysis
speech features
acoustic parameters
linguistic analysis
voice biomarkers
screening test
Opis:
The goal of this article is to present and compare recent approaches which use speech and voice analysis as biomarkers for screening tests and monitoring of some diseases. The article takes into account metabolic, respiratory, cardiovascular, endocrine, and nervous system disorders. A selection of articles was performed to identify studies that assess voice features quantitatively in selected disorders by acoustic and linguistic voice analysis. Information was extracted from each paper in order to compare various aspects of datasets, speech parameters, methods of applied analysis and obtained results. 110 research papers were reviewed and 47 databases were summarized. Speech analysis is a promising method for early diagnosis of certain disorders. Advanced computer voice analysis with machine learning algorithms combined with the widespread availability of smartphones allows diagnostic analysis to be conducted during the patient’s visit to the doctor or at the patient’s home during a telephone conversation. Speech analysis is a simple, low-cost, non-invasive and easy-toprovide method of medical diagnosis. These are remarkable advantages, but there are also disadvantages. The effectiveness of disease diagnoses varies from 65% up to 99%. For that reason it should be treated as a medical screening test and should be an indication of the need for classic medical tests.
Źródło:
Archives of Acoustics; 2023, 48, 3; 289-315
0137-5075
Pojawia się w:
Archives of Acoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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