Zobrazeno 1 - 10
of 107
pro vyhledávání: '"Ho-Hyun Park"'
Publikováno v:
IEEE Access, Vol 9, Pp 2496-2507 (2021)
Estimating semantic correspondence between pairs of images can be challenging as a result of intra-class variation, background clutter, and repetitive patterns. This paper proposes a convolutional neural network (CNN) that attempts to learn rich sema
Externí odkaz:
https://doaj.org/article/2cf3063ed41d4160964ec77614c99663
Autor:
Younsoo Park, Ho-Hyun Park
Publikováno v:
IEEE Access, Vol 8, Pp 94112-94125 (2020)
The handover authentication protocol controls the access of multiple access points in a mobile wireless network (MWN). PairHand is a handover authentication protocol that uses identity-based public key cryptography based on bilinear pairing and provi
Externí odkaz:
https://doaj.org/article/cee42ab4ca3642b1ba13c203e331bf57
Publikováno v:
Sensors, Vol 21, Iss 8, p 2842 (2021)
The development of deep learning has achieved great success in object detection, but small object detection is still a difficult and challenging task in computer vision. To address the problem, we propose an improved single-shot multibox detector (SS
Externí odkaz:
https://doaj.org/article/50417d5e6b2447fd86dc46ca30bc03b0
Publikováno v:
Sensors, Vol 20, Iss 13, p 3630 (2020)
The single shot multi-box detector (SSD) exhibits low accuracy in small-object detection; this is because it does not consider the scale contextual information between its layers, and the shallow layers lack adequate semantic information. To improve
Externí odkaz:
https://doaj.org/article/dff8f63e034b451bb310dad71d66ffce
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 13 (2017)
Wireless sensor networks have continuously evolved to provide better services and satisfy user demands. Through this, the number of wireless sensors and the amount of mobile traffic are exponentially growing every year. Long-term evolution technology
Externí odkaz:
https://doaj.org/article/51eb163d60924454bc2f5ee68954eac9
Autor:
Jae Sang Heo, Seungbeom Choi, Jeong-Wan Jo, Jingu Kang, Ho-Hyun Park, Yong-Hoon Kim, Sung Kyu Park
Publikováno v:
Materials, Vol 10, Iss 6, p 612 (2017)
In this paper, we demonstrate high mobility solution-processed metal-oxide thin-film transistors (TFTs) by using a high-frequency-stable ionic-type hybrid gate dielectric (HGD). The HGD gate dielectric, a blend of sol-gel aluminum oxide (AlOx) and po
Externí odkaz:
https://doaj.org/article/4098a84d51d44ae1b8de1e2a7963ece4
Autor:
Jun Ho Lee, Seong Hyun Kim, Jae Sang Heo, Jee Young Kwak, Chan Woo Park, Insoo Kim, Minhyeok Lee, Ho‐Hyun Park, Yong‐Hoon Kim, Su Jae Lee, Sung Kyu Park
Publikováno v:
Advanced materials (Deerfield Beach, Fla.).
Mechanically stretchable strain sensors have gained tremendous attentions in bio-inspired skin sensation systems and artificially intelligent tactile sensors. However, high-accuracy detection of both strain intensity and direction with simple device/
Publikováno v:
Journal of Digital Contents Society. 22:629-639
Autor:
Ho-Hyun Park
Publikováno v:
Institute of Legal Myongji University. 19:1-20
Publikováno v:
IEEE Access, Vol 9, Pp 2496-2507 (2021)
Estimating semantic correspondence between pairs of images can be challenging as a result of intra-class variation, background clutter, and repetitive patterns. This paper proposes a convolutional neural network (CNN) that attempts to learn rich sema