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Wyszukujesz frazę "Zhang, W J" wg kryterium: Autor

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    Wyświetlanie 1-5 z 5
    Tytuł:
    Numerical Study of the Effect of Furrows on Biosonar Beamforming in Aselliscus Stoliczkanus Bat
    Autorzy:
    He, W.
    Feng, J.
    Gao, L.
    Zhang, Z.
    Lu, H.
    Powiązania:
    https://bibliotekanauki.pl/articles/176802.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Aselliscus Stoliczkanus bat
    furrows
    frequency-selective characteristics
    finite element method
    beam pattern
    Opis:
    The Aselliscus Stoliczkanus bat, studied here, has intricately shaped structures surrounding the nostrils. These structures are hypothesised to have influence on animals’ acoustic radiation patterns. Using micro-tomography scanning technique, a 3D digital model of the noseleaf is reconstructed and biosonar beam pattern is analysed using a finite element method based on the 3D noseleaf model. The present research focuses on the conspicuous furrows in noseleaf, and our analysis allows to conclude the followings: a) structural details in noseleaf of Aselliscus Stoliczkanus bat can produce acoustic effects even if it is not adjacent to the nostrils, b) the furrows possess frequency-selective characteristics, c) the furrows have the function to manipulate the direction and width of the outgoing ultrasound wave.
    Źródło:
    Archives of Acoustics; 2017, 42, 3; 395-399
    0137-5075
    Pojawia się w:
    Archives of Acoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    3-D simulation of vertical-axial tidal current turbine
    Autorzy:
    Zhang, Z.
    Ma, Y.
    Jiang, J.
    Liu, W.
    Ma, Q.
    Powiązania:
    https://bibliotekanauki.pl/articles/260421.pdf
    Data publikacji:
    2016
    Wydawca:
    Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
    Tematy:
    tidal current energy
    vertical-axial turbine
    hydrodynamic performance
    CFD
    numerical simulation
    3-D effect
    Opis:
    Vertical-axial tidal current turbine is the key for the energy converter, which has the advantages of simple structure, adaptability to flow and uncomplex convection device. It has become the hot point for research and application recently. At present, the study on the hydrodynamic performance of vertical-axial tidal current turbine is almost on 2-D numerical simulation, without the consideration of 3-D effect. CFD (Computational Fluid Dynamics) method and blade optimal control technique are used to improve accuracy in the prediction of tidal current turbine hydrodynamic performance. Numerical simulation of vertical-axial tidal current turbine is validated. Fixed and variable deflection angle turbine are comparatively studied to analysis the influence of 3-D effect and the character of fluid field and pressure field. The method, put the plate on the end of blade, of reduce the energy loss caused by 3-D effect is proposed. The 3-D CFD numerical model of vertical-axial tidal current turbine hydrodynamic performance in this study may provide theoretical, methodical and technical reference for the optimal design of turbine.
    Źródło:
    Polish Maritime Research; 2016, 4; 73-83
    1233-2585
    Pojawia się w:
    Polish Maritime Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Experimental Studies on Charging Operation of a Compact Repetitive Tesla Transformer
    Autorzy:
    Zhang, Z.
    Zhang, J.
    Yang, H.
    Qian, B.
    Meng, Z.
    Li, D.
    Wang, S.
    Cao, Y.
    Zhou, W.
    Powiązania:
    https://bibliotekanauki.pl/articles/1807860.pdf
    Data publikacji:
    2009-06
    Wydawca:
    Polska Akademia Nauk. Instytut Fizyki PAN
    Tematy:
    84.30.Ng
    84.30.Jc
    84.30.Qi
    84.70.+p
    Opis:
    Charging operations of a compact Tesla transformer were experimentally investigated, in single-shot and rep-rate (50 pps for 1 s) modes, respectively. The charging limitations were also explored. The experimental results were compared and analyzed. The maximum secondary charging voltages of the Tesla transformer were measured to be 380 kV and 300 kV in single-shot and rep-rate modes, respectively. The RMS pulse-to-pulse instability of the secondary charging voltage is generally less than 10% but increases with the increasing initial voltage across the primary capacitor. Since the secondary capacitor of the Tesla transformer is a pulse forming line (PFL), continued operation is possible if there is breakdown in the PFL. Furthermore, operation can even be continued under occasional breakdown for some pulses, without the effects on the operations of subsequent pulses.
    Źródło:
    Acta Physica Polonica A; 2009, 115, 6; 973-975
    0587-4246
    1898-794X
    Pojawia się w:
    Acta Physica Polonica A
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Serological and molecular evidence of Coxiella burnetii in samples from humans and animals in China
    Autorzy:
    El-Mahallawy, H.S.
    Kelly, P.
    Zhang, J.
    Yang, Y.
    Wei, L.
    Tian, L.
    Fan, W.
    Zhang, Z.
    Wang, C.
    Powiązania:
    https://bibliotekanauki.pl/articles/49293.pdf
    Data publikacji:
    2016
    Wydawca:
    Instytut Medycyny Wsi
    Źródło:
    Annals of Agricultural and Environmental Medicine; 2016, 23, 1
    1232-1966
    Pojawia się w:
    Annals of Agricultural and Environmental Medicine
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Teaching Machines on Snoring : A Benchmark on Computer Audition for Snore Sound Excitation Localisation
    Autorzy:
    Qian, K.
    Janott, C.
    Zhang, Z.
    Deng, J.
    Baird, A.
    Heiser, C.
    Hohenhorst, W.
    Herzog, M.
    Hemmert, W.
    Schuller, B.
    Powiązania:
    https://bibliotekanauki.pl/articles/177964.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    snore sound
    obstructive sleep apnea
    acoustic features
    machine learning
    Opis:
    This paper proposes a comprehensive study on machine listening for localisation of snore sound excitation. Here we investigate the effects of varied frame sizes, and overlap of the analysed audio chunk for extracting low-level descriptors. In addition, we explore the performance of each kind of feature when it is fed into varied classifier models, including support vector machines, k-nearest neighbours, linear discriminant analysis, random forests, extreme learning machines, kernel-based extreme learning machines, multilayer perceptrons, and deep neural networks. Experimental results demonstrate that, wavelet packet transform energy can outperform most other features. A deep neural network trained with subband Energy ratios reaches the highest performance achieving an unweighted average recall of 72.8% from four types for snoring.
    Źródło:
    Archives of Acoustics; 2018, 43, 3; 465-475
    0137-5075
    Pojawia się w:
    Archives of Acoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-5 z 5

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