Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Guowang Gao"'
Publikováno v:
Applied Nano, Vol 5, Iss 1, Pp 20-32 (2024)
Based on the unique properties of optical Fano resonance and plasmonic-waveguide coupling systems, this paper explores a novel refractive index concentration sensor structure. The sensor structure is composed of a metal–insulator–metal (MIM) wave
Externí odkaz:
https://doaj.org/article/153351703b49463e9b14806cc67fcc04
Autor:
Wen Jiang, Shubin Yan, Xiaoran Yan, Aiwei Xu, Guang Liu, Chong Wang, Lei Li, Xiangyang Mu, Guowang Gao
Publikováno v:
Micromachines, Vol 15, Iss 8, p 987 (2024)
This paper introduces a novel plasmon refractive index nanosensor structure based on Fano resonance. The structure comprises a metal–insulator–metal (MIM) waveguide with an inverted rectangular cavity and a circle minus a small internal circle pl
Externí odkaz:
https://doaj.org/article/8133343b73384398974a37d339cecba8
Publikováno v:
Sensors, Vol 24, Iss 13, p 4065 (2024)
Aiming to address the issues of missing detailed information, the blurring of significant target information, and poor visual effects in current image fusion algorithms, this paper proposes an infrared and visible-light image fusion algorithm based o
Externí odkaz:
https://doaj.org/article/ad01542c069a497696b24d107b1fee02
Autor:
Wen Jiang, Shubin Yan, Yiru Su, Chong Wang, Taiquan Wu, Yang Cui, Chuanhui Zhu, Yi Zhang, Xiangyang Mu, Guowang Gao
Publikováno v:
Photonics, Vol 11, Iss 5, p 402 (2024)
This paper introduces a refractive index sensor based on Fano resonance, utilizing a metal–insulator–metal (MIM) waveguide structure with an Anchor-like cavity. This study utilizes the finite element method (FEM) for analyzing the propagation cha
Externí odkaz:
https://doaj.org/article/2ef6e2cac2fc467c82b25264a7ffb59d
Autor:
Lei Li, Shubin Yan, Yang Cui, Taiquan Wu, Chuanhui Zhu, Yi Zhang, Yiru Su, Qizhi Zhang, Guowang Gao
Publikováno v:
Photonics, Vol 11, Iss 4, p 311 (2024)
Based on the characteristics of plasmonic waveguides and resonators, we propose a refractive index (RI) sensor that couples a gear ring with a metal–insulator–metal (MIM) waveguide. Using the finite element method (FEM), we conduct extensive spec
Externí odkaz:
https://doaj.org/article/3e0bd81e06ff45408f281f88b638db57
Publikováno v:
Sensors, Vol 24, Iss 7, p 2162 (2024)
This paper presents a novel method to improve drill pressure measurement accuracy in slim-hole drilling within the petroleum industry, a sector often plagued by extreme conditions that compromise data integrity. We introduce a temperature compensatio
Externí odkaz:
https://doaj.org/article/c44fceecc1a149ec8f4a0e6c285f05c2
Publikováno v:
Sensors, Vol 23, Iss 23, p 9358 (2023)
Aiming at the problem that the traditional physical layer technology cannot realize secure transmission due to the large number of users and wide dispersion in the multicast system, a layered transmission method is proposed, and a scheme for the secu
Externí odkaz:
https://doaj.org/article/2dbd7d11278845e480d65e094653aa6d
Publikováno v:
Frontiers in Neuroinformatics, Vol 16 (2022)
Color constancy methods are generally based on a simplifying assumption that the spectral distribution of a light source is uniform across scenes. However, in reality, this assumption is often violated because of the presence of multiple light source
Externí odkaz:
https://doaj.org/article/34450265fb7547af83c839090f326120
Publikováno v:
Frontiers in Neurorobotics, Vol 16 (2022)
In obtaining color constancy, estimating the illumination of a scene is the most important task. However, due to unknown light sources and the influence of the external imaging environment, the estimated illumination is prone to color ambiguity. In t
Externí odkaz:
https://doaj.org/article/c68e2fc939e34e62a94947b458700506
Publikováno v:
Sensors, Vol 22, Iss 14, p 5430 (2022)
This paper presents an algorithm for infrared and visible image fusion using significance detection and Convolutional Neural Networks with the aim of integrating discriminatory features and improving the overall quality of visual perception. Firstly,
Externí odkaz:
https://doaj.org/article/ae38950dcb454b33bf352d27cc1f23fc