Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Sunghwan Joo"'
Autor:
Sunghwan Joo, Taesup Moon
Publikováno v:
IEEE Access, Vol 12, Pp 170295-170308 (2024)
Deep neural networks often rely on spurious features, which are attributes correlated with class labels but irrelevant to the actual task, leading to poor generalization when these features are absent. To train classifiers that are not biased towards
Externí odkaz:
https://doaj.org/article/43c3d65c4b1341f4b5c1969ed37c874f
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4351 (2024)
Accurately identifying human key points is crucial for various applications, including activity recognition, pose estimation, and gait analysis. This study introduces a high-resolution dataset formed via the VICON motion capture system and three dive
Externí odkaz:
https://doaj.org/article/6f683d96db624253ad3bd02bf8a6dc62
Publikováno v:
IEEE Access, Vol 8, Pp 187754-187765 (2020)
The convolutional neural network (CNN)-based super-resolution (SR) has shown outstanding performance in the field of computer vision. The implementation of inference hardware for CNN-based SR has suffered from the intensive computation with severely
Externí odkaz:
https://doaj.org/article/5763f797fe0447f9a6df06fdc9748e65
Autor:
Yesin Ryu, Sung-Gi Ahn, Jae Hoon Lee, Jaewon Park, Yong Ki Kim, Hyochang Kim, Yeong Geol Song, Han-Won Cho, Sunghye Cho, Seung Ho Song, Haesuk Lee, Useung Shin, Jonghyun Ahn, Je-Min Ryu, Sukhan Lee, Kyoung-Hwan Lim, Jungyu Lee, Jeong Hoan Park, Jae-Seung Jeong, Sunghwan Joo, Dajung Cho, So Young Kim, Minsu Lee, Hyunho Kim, Minhwan Kim, Jae-San Kim, Jinah Kim, Hyun Gil Kang, Myung-Kyu Lee, Sung-Rae Kim, Young-Cheon Kwon, Young Yong Byun, Kijun Lee, Sangkil Park, Jaeyoun Youn, Myeong-O Kim, Kyomin Sohn, Sang-Joon Hwang, Jooyoung Lee
Publikováno v:
IEEE Journal of Solid-State Circuits. 58:1051-1061
Autor:
Ji-Young Kim, Jongsoo Lee, Kiryong Kim, Sunghwan Joo, Byoung Mo Moon, Kyomin Sohn, Seong-Ook Jung
Publikováno v:
IEEE Journal of Solid-State Circuits. 57:1913-1923
Autor:
Byoung Mo Moon, Kyomin Sohn, Ji-Young Kim, Sunghwan Joo, Tae Woo Oh, Seong-Ook Jung, Sumin Lee
Publikováno v:
IEEE Sensors Journal. 21:21248-21258
In this paper, a highly accurate, fully digital temperature sensor with a curvature correction scheme is proposed. Conventional analog temperature sensors are complex and require a large area. Digital temperature sensors are simple with small area, b
Autor:
Sunghwan Joo
Publikováno v:
Volume 7: Engineering Education.
Many commercial Computer-Aided Design software have been introduced in high schools and undergraduate engineering colleges in the past decades. Basic CAD skills have become the essential engineering skill which all students need to have. Because many
Autor:
Sumin Lee, Ki-Beom Lee, Sunghwan Joo, Hong Keun Ahn, Junghyup Lee, Dohyung Kim, Bumsub Ham, Seong-Ook Jung
Publikováno v:
ESSCIRC 2022- IEEE 48th European Solid State Circuits Conference (ESSCIRC).
Publikováno v:
2021 18th International SoC Design Conference (ISOCC).
Publikováno v:
IEEE Journal of Solid-State Circuits. 53:1844-1855
A time-domain-control-based quasi- $V^{2}$ buck converter with small area, fast transient response, wide load current range, and constant switching frequency is proposed in this paper. The proposed time-domain-based controller achieves compact core a