Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Yeon Jae Jung"'
Publikováno v:
Animal Bioscience, Vol 35, Iss 3, Pp 461-474 (2022)
Objective This experiment investigated the effects of supplementing vitamin D3-fortified sow and progeny diets with 25(OH)D3 on growth performance, carcass characteristics, immunity, and pork meat quality. Methods The present study involved the asses
Externí odkaz:
https://doaj.org/article/4e60a146a0aa46bfa30cc291bf19f9a3
Publikováno v:
Archives of Metallurgy and Materials, Vol vol. 66, Iss No 3, Pp 675-678 (2021)
In order to the long-term stability of DSE for electroplating process, the lifetime equations were calculated from the results of the accelerated life testing, and the lifetime of DSE was predicted. The nano-embossing pre-treatment led to 2.65 times
Externí odkaz:
https://doaj.org/article/0d54ddfcfbd74837805a5db51bbd2e75
Publikováno v:
Metals, Vol 11, Iss 1, p 108 (2021)
The use of lithium-ion batteries (LIBs) has increased in recent years. Thus, efficient recycling is important. In this study, the Taguchi method was used to find the optimal selective lithium leaching parameters for spent LIB recycling. Orthogonal ar
Externí odkaz:
https://doaj.org/article/b8af598775de43538c760b25f7abe501
Autor:
Sung-June Byun, Da-Yeong Ann, Jong-Wan Jo, Heejeong Jasmine Lee, Yeon-Jae Jung, Seok-Kee Kim, Young-Gun Pu, Kang-Yoon Lee
Publikováno v:
IEEE Access, Vol 12, Pp 134498-134509 (2024)
This paper presents a novel artificial intelligence (AI)-based phase shift system in a beamforming system implemented with field programmable gate array (FPGA)-based hardware by integrating a conventional convolutional neural network (CNN) algorithm.
Externí odkaz:
https://doaj.org/article/d225f3e794c34b4fa73cbc12a9ebc1e2
A Low-Power Analog Processor-in-Memory-Based Convolutional Neural Network for Biosensor Applications
Autor:
Sung-June Byun, Dong-Gyun Kim, Kyung-Do Park, Yeun-Jin Choi, Pervesh Kumar, Imran Ali, Dong-Gyu Kim, June-Mo Yoo, Hyung-Ki Huh, Yeon-Jae Jung, Seok-Kee Kim, Young-Gun Pu, Kang-Yoon Lee
Publikováno v:
Sensors, Vol 22, Iss 12, p 4555 (2022)
This paper presents an on-chip implementation of an analog processor-in-memory (PIM)-based convolutional neural network (CNN) in a biosensor. The operator was designed with low power to implement CNN as an on-chip device on the biosensor, which consi
Externí odkaz:
https://doaj.org/article/30a8b1345a7649f2a0de37bb0617bae1
Autor:
Reza E. Rad, Kyung-Duk Choi, Sung-Jin Kim, Young-Gun Pu, Yeon-Jae Jung, Hyung-Ki Huh, Joon-Mo Yoo, Seok-Kee Kim, Kang-Yoon Lee
Publikováno v:
Sensors, Vol 22, Iss 6, p 2276 (2022)
This paper presents a Dual-Port-15-Throw (DP15T) antenna switch module (ASM) Radio Frequency (RF) switch implemented by a branched antenna technique which has a high linearity for wireless communications and various frequency bands, including a low-
Externí odkaz:
https://doaj.org/article/48b426dc3ab4489c81520d3753e94101
Autor:
Pervesh Kumar, Huo Yingge, Imran Ali, Young-Gun Pu, Keum-Cheol Hwang, Youngoo Yang, Yeon-Jae Jung, Hyung-Ki Huh, Seok-Kee Kim, Joon-Mo Yoo, Kang-Yoon Lee
Publikováno v:
Sensors, Vol 22, Iss 7, p 2459 (2022)
This paper presents a register-transistor level (RTL) based convolutional neural network (CNN) for biosensor applications. Biosensor-based diseases detection by DNA identification using biosensors is currently needed. We proposed a synthesizable RTL-
Externí odkaz:
https://doaj.org/article/7f1726e812ed4e50bf202beb131c88a8
Publikováno v:
Resources Recycling. 30:43-52
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7409192847c90d42d08acbd566994f7
https://doi.org/10.7844/kirr.2021.30.6.43
https://doi.org/10.7844/kirr.2021.30.6.43
Autor:
Dong-Gyu Kim, Joon-Mo Yoo, Young-Gun Pu, Yeon-Jae Jung, Hyung-Ki Huh, Seok-Kee Kim, Keum-Cheol Hwang, Young-Goo Yang, Kang-Yoon Lee
Publikováno v:
JOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE. 21:466-471
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0aaaa843798e99a772b6bfe005d97890
https://doi.org/10.5573/jsts.2021.21.6.466
https://doi.org/10.5573/jsts.2021.21.6.466
Publikováno v:
Resources Recycling. 30:76-82
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aaf59ddc8e78bdc33340f75edca65c46
https://doi.org/10.7844/kirr.2021.30.6.76
https://doi.org/10.7844/kirr.2021.30.6.76