Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Peiran Jin"'
Autor:
Raman Venkataramani, John W. Dykes, Steven Granz, Tim Rausch, Zengyuan Liu, Pavol Krivosik, Stephanie Hernandez, William Michael Radich, Peiran Jin, Edward Charles Gage
Publikováno v:
IEEE Transactions on Magnetics. 57:1-5
System-level requirements for heat-assisted magnetic recording at high areal density are presented in this article. The primary factors that affect bit error rate (BER) are spatial, or media, signal-to-noise ratio (SNR), reader SNR, and channel bit d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a927319490def758d8e16d71c6228aa7
https://doi.org/10.1109/tmag.2020.3040497
https://doi.org/10.1109/tmag.2020.3040497
Autor:
Yong Liu, Tiesong Hu, Rui Zhu, Huandi Li, Qiuwen Chen, Peiran Jing, Ali Mahmoud, Yanxuan Wang, Xiang Li
Publikováno v:
Agricultural Water Management, Vol 303, Iss , Pp 109023- (2024)
Knowledge of the potential interactive effects of drought and flooding on the maximum carboxylation rate at 25°C (Vmax25) and maximum hydraulic conductance (Kmax) is essential for the precise modeling of crop growth, water-carbon cycling, and crop y
Externí odkaz:
https://doaj.org/article/15f39e71f5884c778c3793dec9093b58
Cloth is a common material and humans can visually estimate its mechanical properties by observing how it deforms under external forces. Here we ask whether, and how, dynamic deformation can affect the perception of mechanical properties of cloth. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c2cba4198371f6e871c55c8eb7f4657
https://doi.org/10.1101/556530
https://doi.org/10.1101/556530
Publikováno v:
Journal of Vision. 18:12
Humans can visually estimate the mechanical properties of deformable objects (e.g. cloth stiffness). While much of the recent work on material perception has focused on static image cues (e.g., textures and shape), little is known whether humans can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d89128a56034f177f88815fe49be3a1
https://doi.org/10.1167/18.5.12
https://doi.org/10.1167/18.5.12
Publikováno v:
Applied Sciences, Vol 13, Iss 23, p 12968 (2023)
Human factors are introduced into the dam risk analysis method to improve the existing dam risk management theory. This study constructs the path of human factor failure in dam collapse, explores the failure pattern of each node, and obtains the perf
Externí odkaz:
https://doaj.org/article/c06c0f3358d8457287ecc55f55497444