Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Bulat Valeev"'
Autor:
Roman Makarov, Mohammed R. T. M. Qaid, Alaa N. Al Hussein, Bulat Valeev, Timur Agliullin, Vladimir Anfinogentov, Airat Sakhabutdinov
Publikováno v:
Optics, Vol 5, Iss 2, Pp 223-237 (2024)
In this paper, an application of an artificial neural network algorithm is proposed to enhance the accuracy of temperature measurement using a fiber-optic sensor based on a Fabry–Perot interferometer (FPI). It is assumed that the interrogation of t
Externí odkaz:
https://doaj.org/article/7a9efe135a98478f83c8c50ecb280e80
Autor:
Oleg Morozov, Timur Agliullin, Airat Sakhabutdinov, Artem Kuznetsov, Bulat Valeev, Mohammed Qaid, Roman Ponomarev, Danil Nurmuhametov, Anastasia Shmyrova, Yuri Konstantinov
Publikováno v:
Photonics, Vol 11, Iss 1, p 22 (2023)
The paper describes the design and manufacturing process of a fiber optic microphone based on a macro cavity at the end face of an optical fiber. The study explores the step-by-step fabrication of a droplet-shaped macro cavity on the optical fiber’
Externí odkaz:
https://doaj.org/article/7994d0bca67a4c7fb6badc933d7b1eb7
Autor:
Nadezhda Pavlycheva, Ayna Niyazgulyyewa, Airat Sakhabutdinov, Vladimir Anfinogentov, Oleg Morozov, Timur Agliullin, Bulat Valeev
Publikováno v:
Fibers, Vol 11, Iss 7, p 60 (2023)
A new hi-accuracy method for slight-shift determination of low-resolution spectra is proposed. The method allows determining a spectrum shift with an accuracy exceeding the spectrum analyzer resolution to more than three orders of magnitude due to th
Externí odkaz:
https://doaj.org/article/8339035e8c0e439aade2340038fc1318
Application of Neural Network Algorithms for Central Wavelength Determination of Fiber Optic Sensors
Autor:
Timur Agliullin, Vladimir Anfinogentov, Rustam Misbakhov, Oleg Morozov, Aydar Nasybullin, Airat Sakhabutdinov, Bulat Valeev
Publikováno v:
Applied Sciences, Vol 13, Iss 9, p 5338 (2023)
Fiber Bragg gratings are sensitive elements in fiber optic sensor networks, and this paper discusses the practicalities of using neural network algorithms to determine their central wavelengths. The problem is to determine the central wavelength of a
Externí odkaz:
https://doaj.org/article/79c18e5ae9fa4172ae4f06b4be1c1446
Autor:
Timur Agliullin, Vladimir Anfinogentov, Oleg Morozov, Airat Sakhabutdinov, Bulat Valeev, Ayna Niyazgulyeva, Yagmyrguly Garovov
Publikováno v:
Algorithms, Vol 16, Iss 2, p 101 (2023)
The work is dedicated to a comparative analysis of the following methods for fiber Bragg grating (FBG) spectral response modeling. The Layer Sweep (LS) method, which is similar to the common layer peeling algorithm, is based on the reflectance and tr
Externí odkaz:
https://doaj.org/article/54ebad33001f424a9e45a6f27e261515
Autor:
Oleg Morozov, Yulia Tunakova, Safaa M. R. H. Hussein, Artur Shagidullin, Timur Agliullin, Artem Kuznetsov, Bulat Valeev, Konstantin Lipatnikov, Vladimir Anfinogentov, Airat Sakhabutdinov
Publikováno v:
Sensors, Vol 22, Iss 13, p 4827 (2022)
The design and usage of the addressed combined fiber-optic sensors (ACFOSs) and the multisensory control systems of the greenhouse gas concentration on their basis are investigated herein. The main development trend of the combined fiber-optic sensor
Externí odkaz:
https://doaj.org/article/e2565152126241238e40c9d71dd7fbae
Publikováno v:
C, Vol 7, Iss 4, p 84 (2021)
It is known that a material’s volume and the surface structuring by the nanoparticles causes a significant change in the material’s basic properties. In this aspect, the structuration of the surface of semiconductors is of interest, because their
Externí odkaz:
https://doaj.org/article/aef4689478a54abfa1b7a463c8ac5e48