Autor: Zhu, X. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Bifurcation and chaos analysis of a gear-rotor-bearing system
Autorzy:: Gou, X.
Zhu, L.
Qi, C.
Powiązania:: https://bibliotekanauki.pl/articles/281909.pdf
Data publikacji:: 2018
Wydawca:: Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:: gear-rotor-bearing
dynamics
bifurcation
chaos
Opis:: To study chaos and bifurcation of a gear system, a five-degree-of-freedom nonlinear dynamic model of a gear-rotor-bearing system is established. It consists of a gear pair, supporting shafts, bearings and other auxiliary components. The effects of frequency, backlash, bearing clearance, comprehensive transmission error and stiffness on nonlinear dynamics of the system are investigated according to bifurcation diagrams, phase portraits and Poincar´e maps by a numerical method. Some nonlinear phenomena such as grazing bifurcation, Hopf bifurcation, inverse-Hopf bifurcation, chaos and coexistence of attractors are investigated. Different grazing bifurcations and their causes are discussed. The critical parameters are identified, too.
Źródło:: Journal of Theoretical and Applied Mechanics; 2018, 56, 3; 585-599
1429-2955
Pojawia się w:: Journal of Theoretical and Applied Mechanics
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 2.

Tytuł:: Personal identification based on brain networks of EEG signals
Autorzy:: Kong, W.
Jiang, B.
Fan, Q.
Zhu, L.
Wei, X.
Powiązania:: https://bibliotekanauki.pl/articles/329856.pdf
Data publikacji:: 2018
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: electroencephalogram signal
personal identification
brain network
phase synchronization
elektroencefalogram
identyfikacja osobowa
sieć mózgowa
synchronizacja fazy
Opis:: Personal identification is particularly important in information security. There are numerous advantages of using electroencephalogram (EEG) signals for personal identification, such as uniqueness and anti-deceptiveness. Currently, many researchers focus on single-dataset personal identification, instead of the cross-dataset. In this paper, we propose a method for cross-dataset personal identification based on a brain network of EEG signals. First, brain functional networks are constructed from the phase synchronization values between EEG channels. Then, some attributes of the brain networks including the degree of a node, the clustering coefficient and global efficiency are computed to form a new feature vector. Lastly, we utilize linear discriminant analysis (LDA) to classify the extracted features for personal identification. The performance of the method is quantitatively evaluated on four datasets involving different cognitive tasks: (i) a four-class motor imagery task dataset in BCI Competition IV (2008), (ii) a two-class motor imagery dataset in the BNCI Horizon 2020 project, (iii) a neuromarketing dataset recorded by our laboratory, (iv) a fatigue driving dataset recorded by our laboratory. Empirical results of this paper show that the average identification accuracy of each data set was higher than 0.95 and the best one achieved was 0.99, indicating a promising application in personal identification.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2018, 28, 4; 745-757
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 3.

Tytuł:: Mechanical touch responses of Arabidopsis TCH1-3 mutant roots on inclined hard-agar surface
Autorzy:: Zha, G.
Wang, B.
Liu, J.
Yan, J.
Zhu, L.
Yang, X.
Powiązania:: https://bibliotekanauki.pl/articles/24565.pdf
Data publikacji:: 2016
Wydawca:: Polska Akademia Nauk. Instytut Agrofizyki PAN
Tematy:: mechanical touch response
mechanical touch simulation
Arabidopsis
TCH1-3 gene
mutant
root growth
Źródło:: International Agrophysics; 2016, 30, 1
0236-8722
Pojawia się w:: International Agrophysics
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 4.

Tytuł:: Horizontal transfer and functional evaluation of high pathogenicity islands in Avian Escherichia coli
Autorzy:: Tu, J.
Qi, K.
Song, X.
Xue, T.
Ji, H.
Shao, Y.
Liu, H.
Zhou, X.
Zhu, L.
Powiązania:: https://bibliotekanauki.pl/articles/30119.pdf
Data publikacji:: 2017
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Opis:: High pathogenicity islands (HPIs) in Escherichia coli encode genes that are primarily involved in iron uptake and regulation, and confer virulence and pathogenicity. The aim of this study was to investigate the transfer of HPIs in avian E. coli and identify the function of HPI in the acceptor strain. The HPI transfer strain was obtained under conditions of low temperature and low iron abundance, and the donor and acceptor strains were confirmed. E. coli HPIs are transferred by horizontal gene transfer events, which are likely mediated primarily by homologous recombination in HPI-adjacent sequences. Assays for biological activity and pathogenicity changes in the acceptor strain indicated that HPIs might not be involved in pathogenesis in avian E. coli, and thus the main function of HPIs in this strain of bacteria may be to regulate iron nutrition.
Źródło:: Polish Journal of Veterinary Sciences; 2017, 20, 2
1505-1773
Pojawia się w:: Polish Journal of Veterinary Sciences
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Informacja

Wyszukujesz frazę "Zhu, X." wg kryterium: Autor

Źródło danych

Dostawca treści

Kolekcja

Rok wydania

Wydawca

Temat

Autor

Typ dokumentu

Język