Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Hyeyoung Ko"'
Publikováno v:
Energies, Vol 14, Iss 21, p 6923 (2021)
The rapid growth of aquaculture production has required a huge power demand, which is estimated to be about 40% of the total energy cost. However, it is possible to reduce this expense using alternatives such as renewable energy (i.e., solar energy)
Externí odkaz:
https://doaj.org/article/589a99b96b6f47a2ad4b4deb4e70da3e
Publikováno v:
Energies, Vol 14, Iss 21, p 6988 (2021)
The demand for energy has rapidly grown around the world. Solar floating photovoltaic (FPV) systems are an efficient solution to solve the issues from nonrenewable energy sources, such as reduction of CO2 emission, limitation of global warming, envir
Externí odkaz:
https://doaj.org/article/405f4b905d7a412bacaf36d592773b78
Publikováno v:
Energies, Vol 14, Iss 21, p 6915 (2021)
This paper has tried to execute accurate demand forecasting by utilizing big data visualization and proposes a flexible and balanced electric power production big data virtualization based on a photovoltaic power plant. First of all, this paper has t
Externí odkaz:
https://doaj.org/article/4238241d800a4be1bace2c08b79b6f98
Autor:
Hyeyoung Ko, Kyungsoo Hwang
Publikováno v:
Society for Standards Certification and Safety. 12:173-187
Autor:
Hyeyoung KO, Hyojung KIM
Publikováno v:
Society for Art Education of Korea. 83:1-34
Publikováno v:
The Journal of Image and Cultural Contents. 19:443-464
Publikováno v:
Electronics
Volume 10
Issue 20
Electronics, Vol 10, Iss 2489, p 2489 (2021)
Volume 10
Issue 20
Electronics, Vol 10, Iss 2489, p 2489 (2021)
The purpose of this study was to propose an effective model for recognizing the detailed mood of classical music. First, in this study, the subject classical music was segmented via MFCC analysis by tone, which is one of the acoustic features. Short
Publikováno v:
Energies, Vol 14, Iss 6915, p 6915 (2021)
Energies; Volume 14; Issue 21; Pages: 6915
Energies; Volume 14; Issue 21; Pages: 6915
This paper has tried to execute accurate demand forecasting by utilizing big data visualization and proposes a flexible and balanced electric power production big data virtualization based on a photovoltaic power plant. First of all, this paper has t
Publikováno v:
Energies, Vol 14, Iss 6923, p 6923 (2021)
The rapid growth of aquaculture production has required a huge power demand, which is estimated to be about 40% of the total energy cost. However, it is possible to reduce this expense using alternatives such as renewable energy (i.e., solar energy)
Autor:
Hyeyoung Ko, Jun-Ho Huh
Publikováno v:
Electronics, Vol 10, Iss 2421, p 2421 (2021)
At present, diverse, innovative technology is used in electronics and ubiquitous computing environments [...]