Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Euiseok Jeong"'
Autor:
Geesung Oh, Euiseok Jeong, Rak Chul Kim, Ji Hyun Yang, Sungwook Hwang, Sangho Lee, Sejoon Lim
Publikováno v:
Sensors, Vol 22, Iss 12, p 4402 (2022)
As vehicles provide various services to drivers, research on driver emotion recognition has been expanding. However, current driver emotion datasets are limited by inconsistencies in collected data and inferred emotional state annotations by others.
Externí odkaz:
https://doaj.org/article/38623b75972c43d59c86e742d01d619b
Publikováno v:
Acute and Critical Care, Vol 33, Iss 4, Pp 238-245 (2018)
Background Infection by multidrug-resistant (MDR) pathogens leads to poor patient outcomes in intensive care units (ICUs). Contact precautions are necessary to reduce the transmission of MDR pathogens. However, the importance of the surrounding envir
Externí odkaz:
https://doaj.org/article/ff27addf4a8b4309b5afc0461445133a
Autor:
Joohee Lee, Mi-Young Lee, Yeni Kim, Jae-Yoon Shim, Hye-Sung Won, Euiseok Jeong, Byong Sop Lee, Ki-Soo Kim, Woo-Jong Choi, Yoon Se Lee
Publikováno v:
Obstetrics & Gynecology Science, Vol 61, Iss 3, Pp 417-420 (2018)
The ex utero intrapartum treatment (EXIT) procedure was introduced to reduce fetal hypoxic damage while establishing an airway in fetuses with upper and lower airway obstruction. Delivery of the fetal head and shoulders while maintaining the uteropla
Externí odkaz:
https://doaj.org/article/c57c061afca0457e91227c2c02b1ac0b
Autor:
Geesung Oh, Junghwan Ryu, Euiseok Jeong, Ji Hyun Yang, Sungwook Hwang, Sangho Lee, Sejoon Lim
Publikováno v:
Sensors, Vol 21, Iss 6, p 2166 (2021)
In intelligent vehicles, it is essential to monitor the driver’s condition; however, recognizing the driver’s emotional state is one of the most challenging and important tasks. Most previous studies focused on facial expression recognition to mo
Externí odkaz:
https://doaj.org/article/95800ceaab8c404b87cb02018e9897d7
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2675:603-612
This paper presents a framework to better identify and measure defects in a bridge using drone-based inspection images integrated with grayscale image enhancement techniques. For this study, a DJI Matrice 210 drone was used for the inspection of a th
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
Publikováno v:
Proceedings of the 13th International Workshop on Structural Health Monitoring.
Unmanned Aerial System (UAS) technologies integrated with image processing algorithms are considered timely and useful for bridge inspections because of improved accessibility, recording ability, and cost-efficiency compared to the conventional inspe
Publikováno v:
Journal of Structural Engineering. 148
Transportation industries have commonly used welded connections in the production of dynamic message signs (DMSs) for several years. Even though with numerous alternatives such as bolt/rive...
Autor:
R. Bento, Gabriele Bernardini, Ivo Caliò, J.M. Castro, César Chácara, Fernando Ramirez Cortes, R. Couto, You Dong, Andreea Dutu, Rafael Ramírez Eudave, Carina Fonseca Ferreira, Tiago Miguel Ferreira, Euiseok Jeong, Bruno Dal Lago, Daniel Mocanescu, Bartolomeo Pantò, Hugo Rodrigues, Junwon Seo, I. Sousa, Giovanni Sumerente, Nicola Tarque, Jing Qian, Changhai Zhai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69a9db23611b5d71ddd3d5a7a341fe4f
https://doi.org/10.1016/b978-0-12-824071-7.00044-5
https://doi.org/10.1016/b978-0-12-824071-7.00044-5