Zobrazeno 1 - 10
of 228
pro vyhledávání: '"Te Ma"'
Publikováno v:
BioResources, Vol 19, Iss 3, Pp 4838-4851 (2024)
This study aimed to validate the accuracy of identifying Japanese hardwood species from microscopic cross-sectional images using convolutional neural networks (CNN). The overarching goal is to create a versatile model that can handle microscopic cros
Externí odkaz:
https://doaj.org/article/bff553ec93384d83bb24431e29f232d6
Publikováno v:
IEEE Access, Vol 12, Pp 132773-132785 (2024)
Power quality (PQ) in electric power systems is critical for ensuring the reliable delivery of electricity to consumers, encompassing aspects such as signal stability, voltage variations, and other key parameters. One of the most significant challeng
Externí odkaz:
https://doaj.org/article/d149b82733694b9da575bda485965d2a
Publikováno v:
Journal of Wood Science, Vol 70, Iss 1, Pp 1-13 (2024)
Abstract In past studies, finite element analysis (FEA) methods have been used to simulate the thermal and moisture coupling of wood. However, challenges remain in achieving high-quality three-dimensional (3D) simulations, mainly because of the heter
Externí odkaz:
https://doaj.org/article/fbbe50ad19414d0bb95a7cc3e37d921c
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract Visible and near-infrared spectroscopy has been well studied for characterizing the organic compounds in fruit and vegetables from pre-harvest to late harvest. However, due to the challenge of decoupling of optical properties, the relationsh
Externí odkaz:
https://doaj.org/article/f2a0cd6177e5435eafd63010c49c013b
Publikováno v:
Foods, Vol 13, Iss 14, p 2274 (2024)
In recent years, due to breeding improvements, strawberries with low anthocyanin content and a white rind are now available, and they are highly valued in the market. Strawberries with white skin color do not turn red when ripe, making it difficult t
Externí odkaz:
https://doaj.org/article/e8925ef29d104d71a8a3251c3eb08232
Autor:
Rui Kang, Te Ma, Satoru Tsuchikawa, Tetsuya Inagaki, Jun Chen, Jian Zhao, Dongdong Li, Gongpei Cui
Publikováno v:
Horticulturae, Vol 10, Iss 3, p 302 (2024)
To detect the moisture of dried Goji (Lycium barbarum L.) berries nondestructively, a near-infrared (NIR) hyperspectral imager was used for experiments. NIR hyperspectral data were obtained and processed by standard normal variate (SNV) calculation u
Externí odkaz:
https://doaj.org/article/317737f01f3742508a8afab42313cd88
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-7 (2022)
Abstract Effect of highly-porous and lightweight carbon nanotube sponges on the high-power continuous wave laser ablation resistance of the sandwich panel was investigated experimentally. As a comparison, thermal responses of monolithic plate, carbon
Externí odkaz:
https://doaj.org/article/0a6c423f685642699efdfbfc801027a7
Publikováno v:
Measurement + Control, Vol 56 (2023)
An aggregative game of disturbed Euler-Lagrange systems is studied in this paper. The cost function of each player depends on its own decision and the aggregate of all decisions. Different from the well-known aggregative games, the second-order nonli
Externí odkaz:
https://doaj.org/article/8ccb7f1f2cdb479da1f0c2f4a991fd43
Autor:
Weina Zhao, Te Ma, Hongwei Song, Wu Yuan, Ruixing Wang, Zhe Wang, Lingling Lu, Chenguang Huang
Publikováno v:
Journal of Materials Research and Technology, Vol 14, Iss , Pp 1985-1997 (2021)
Ablation behaviors of laminated carbon fiber reinforced plastics (CFRP) subjected to intense continuous wave laser in the supersonic wind tunnel are investigated experimentally. Comparable laser ablation tests in other environments, i.e., static air,
Externí odkaz:
https://doaj.org/article/d17dd781d5cb4721bcea44eca3f83e63
Publikováno v:
Foods, Vol 12, Iss 5, p 931 (2023)
In this study, an approach to visualize the spatial distribution of sugar content in white strawberry fruit flesh using near-infrared hyperspectral imaging (NIR-HSI; 913–2166 nm) is developed. NIR-HSI data collected from 180 samples of “Tochigi i
Externí odkaz:
https://doaj.org/article/23215b213da04deda6b1fc332c687752