Autor: Yang, Min - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Research on one-dimensional ubiquitiformal constitutive relations for a bimaterial bar
Autorzy:: Yang, Min
Ou, Zhuo-Cheng
Duan, Zhuo-Ping
Huang, Feng-Lei
Powiązania:: https://bibliotekanauki.pl/articles/282073.pdf
Data publikacji:: 2019
Wydawca:: Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:: ubiquitiform
fractal
composite
displacement distribution
elasticity modulus
Opis:: A one-dimensional ubiquitiformal constitutive model for a bimaterial bar is proposed in this paper. An explicit analytical expression for the effective Young modulus is then obtained, which, unlike the fractal one, leads to a continuous displacement distribution along the bar. Moreover, numerical results for concretes are calculated and found to be in agreement with previous experimental data. In addition, some previous empirical and semi-empirical constitutive models are also examined, which shows that each of these models can correspond well to a ubiquitiformal one under a certain complexity.
Źródło:: Journal of Theoretical and Applied Mechanics; 2019, 57, 2; 291-301
1429-2955
Pojawia się w:: Journal of Theoretical and Applied Mechanics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Riesz-Laplace Wavelet Transform and PCNN Based Image Fusion
Autorzy:: Sun, Shuifa
Tang, Yongheng
Mei, Zhoujunshen
Yang, Min
Tang, Tinglong
Wu, Yirong
Powiązania:: https://bibliotekanauki.pl/articles/2204258.pdf
Data publikacji:: 2023
Wydawca:: Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Instytut Informatyki Technicznej
Tematy:: image fusion
Riesz transforms
polyharmonic spline
Laplacian wavelet
pulse-coupled neural networks
PCNN
Opis:: Important information perceived by human vision comes from the low-level features of the image, which can be extracted by the Riesz transform. In this study, we propose a Riesz transform based approach to image fusion. The image to be fused is first decomposed using the Riesz transform. Then the image sequence obtained in the Riesz transform domain is subjected to the Laplacian wavelet transform based on the fractional Laplacian operators and the multi-harmonic splines. After Laplacian wavelet transform, the image representations have directional and multi-resolution characteristics. Finally, image fusion is performed, leveraging Riesz-Laplace wavelet analysis and the global coupling characteristics of pulse coupled neural network (PCNN). The proposed approach has been tested in several application scenarios, such as multi-focus imaging, medical imaging, remote sensing full-color imaging, and multi-spectral imaging. Compared with conventional methods, the proposed approach demonstrates superior performance on visual effects, contrast, clarity, and the overall efficiency.
Źródło:: Machine Graphics & Vision; 2023, 32, 1; 73--84
1230-0535
2720-250X
Pojawia się w:: Machine Graphics & Vision
Dostawca treści:: Biblioteka Nauki

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