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Listar por Patrocinador "Korea Institute of Energy Technology Evaluation and Planning"

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A deep Learning approach for reconstructing 3D turbulent flows from 2D observation data

Yousif, Mustafa Z.; Yu, Linqui; Hoyas, S.; Vinuesa, Ricardo; Lim, Hee-Chang (Nature Publishing Group, 2023-02-13)

[EN] Turbulence is a complex phenomenon that has a chaotic nature with multiple spatio-temporal scales, making predictions of turbulent flows a challenging topic. Nowadays, an abundance of high-fidelity databases can be ...
Characterization and Modeling of UHF Wireless Channel in Terrestrial SFN Environments: Urban Fading Profiles

Ahn, Sungjun; Kim, Jeongchang; Ahn, Seok-Ki; Kwon, Sunhyoung; Jeon, Sungho; Gomez-Barquero, David; Angueira, Pablo; He, Dazhi; Akamine, Cristiano; Ek, Mats; Simha, Sesh; Aitken, Mark; Hong, Zhihong Hunter; Wu, Yiyan; Park, Sung-Ik (Institute of Electrical and Electronics Engineers, 2022-12)

[EN] This paper proposes several realistic fading channel models to describe the signal distortions that arise in single frequency network (SFN) environments. The proposed models characterize ultra-high frequency (UHF) ...
Hybrid cylinder dryer for the drying of sheet-form materials with hot air

Kim, Sung Il; Oh, Sang Hyun; Chun, Won Pyo; Park, Ki Ho; Yu, Byoung Hyuk (Editorial Universitat Politècnica de València, 2018-09-07)

[EN] In this paper, we introduce a novel energy-efficient dryer that uses hot air as a combined heating method of heat conduction and convection heat transfer. The dryer consisting of rotary cylinders and arched jackets ...
Reliable Detection of Induction Motor Rotor Faults Under the Rotor Axial Air Duct Influence

Yang, Chanseung; Kang, Tae-June; Hyun, Doosoo; Lee, Sang Bin; Antonino Daviu, José Alfonso; Pons Llinares, Joan (Institute of Electrical and Electronics Engineers (IEEE), 2014-08)

Axial cooling air ducts in the rotor of large induction motors are known to produce magnetic asymmetry and can cause steady-state current or vibration spectrum analysis based fault detection techniques to fail. If the ...
Three-dimensional ESRGAN for super-resolution reconstruction of turbulent flows with tricubic interpolation-based transfer learning

Yu, Linqui; Yousif, Mustafa Z.; Zhang, Meng; Hoyas, S; Vinuesa, Ricardo; Lim, Hee-Chang (American Institute of Physics, 2022-12)

[EN] Turbulence is a complicated phenomenon because of its chaotic behavior with multiple spatiotemporal scales. Turbulence also has irregularity and diffusivity, making predicting and reconstructing turbulence more ...

Mostrando ítems 1-5 de 5

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