Zobrazeno 1 - 10 of 26 pro vyhledávání: '"Tsutomu UENOHARA"'
1
Akademický článek
Fundamental study of surface topography measurement by broadband optical frequency comb scattering spectroscopy - Basic study of diffraction pattern spectroscopy by VIPA Spectrometer –
Autor: Satoshi Itakura, Tsutomu Uenohara, Yasuhiro Mizutani, Yasuhiro Takaya
Publikováno v: Measurement: Sensors, Vol 18, Iss , Pp 100193- (2021)
Recently, high-precision and in-process surface topography measurement methods are required in the field of precision machining. Laser inverse scattering has been reported as a method satisfying these characteristics. However, the dynamic range and s
Externí odkaz: https://doaj.org/article/8b80d689125a4c55ad8d9bae57842c82
Zobrazit plný text záznamu
2
Akademický článek
Detection of shock wave in laser ablation using a photonic nanojet
Autor: Tsutomu Uenohara, Makoto Yasuda, Yasuhiro Mizutani, Yasuhiro Takaya
Publikováno v: Measurement: Sensors, Vol 18, Iss , Pp 100217- (2021)
A photonic nanojet (PNJ) is a high intensity light beam that has beam diameter of sub-micrometers and depth of focus of several micrometers. In order to improve the accuracy and resolution of laser ablation using a PNJ, a shock wave generated in lase
Externí odkaz: https://doaj.org/article/cf12d5f0fb704fc987137ae9797d664e
Zobrazit plný text záznamu
3
Noise-robust deep learning ghost imaging using a non-overlapping pattern for defect position mapping
Autor: Shoma Kataoka, Yasuhiro Mizutani, Tsutomu Uenohara, Yasuhiro Takaya, Osamu Matoba
Publikováno v: Applied optics. 61(34)
Defect detection requires highly sensitive and robust inspection methods. This study shows that non-overlapping illumination patterns can improve the noise robustness of deep learning ghost imaging (DLGI) without modifying the convolutional neural ne
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d08a9bdcdeac8d574e93ab58f2700c2e
https://pubmed.ncbi.nlm.nih.gov/36606774
Zobrazit plný text záznamu
6
Relationship between the kernel size of a convolutional layer and the optical point spread function in ghost imaging using deep learning for identifying defect locations
Autor: Shoma Kataoka, Yasuhiro Mizutani, Tsutomu Uenohara, Yasuhiro Takaya, Osamu Matoba
Publikováno v: Applied optics. 61(23)
We explore the contribution of convolutional neural networks to correcting for the effect of the point spread function (PSF) of the optics when applying ghost imaging (GI) combined with deep learning to identify defect positions in materials. GI can
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca7a97f42dde2c7cb395b5a838db2e41
https://pubmed.ncbi.nlm.nih.gov/36255749
Zobrazit plný text záznamu
7
First Step Toward Laser Micromachining Realization by Photonic Nanojet in Water Medium
Autor: Reza Aulia Rahman, Tsutomu Uenohara, Yasuhiro Mizutani, Yasuhiro Takaya
Publikováno v: International Journal of Automation Technology. 15:492-502
In the recent period of the miniaturization of devices, there has been a high demand for high-resolution, flexible, and fast machining technique to accommodate high production volumes. Conventional laser machining with a focused laser beam has been w
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::76f6bedf47a52d2bbc334bebbda5023b
https://doi.org/10.20965/ijat.2021.p0492
Zobrazit plný text záznamu
8
Ghost Imaging with Deep Learning for Position Mapping of Weakly Scattered Light Source
Autor: Yasuhiro Takaya, Yasuhiro Mizutani, Tsutomu Uenohara, Shoma Kataoka
Publikováno v: Nanomanufacturing and Metrology. 4:37-45
We propose ghost imaging (GI) with deep learning to improve detection speed. GI, which uses an illumination light with random patterns and a single-pixel detector, is correlation-based and thus suitable for detecting weak light. However, its detectio
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::90d1e6150514a62d709c4338dd0253a2
https://doi.org/10.1007/s41871-020-00085-0
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje