Zobrazeno 1 - 10
of 151
pro vyhledávání: '"DONG KEUN KIM"'
Fatal Systemic Capillary Leak Syndrome after SARS-CoV-2 Vaccination in Patient with Multiple Myeloma
Autor:
Gwang-Jun Choi, Seon Ha Baek, Junmo Kim, Jung Ho Kim, Geun-Yong Kwon, Dong Keun Kim, Yeon Haw Jung, Sejoong Kim
Publikováno v:
Emerging Infectious Diseases, Vol 27, Iss 11, Pp 2973-2975 (2021)
A young man with smoldering multiple myeloma died of hypotensive shock 2.5 days after severe acute respiratory syndrome coronavirus 2 vaccination. Clinical findings suggested systemic capillary leak syndrome (SCLS); the patient had experienced a prev
Externí odkaz:
https://doaj.org/article/8aa4fe586a2e41e7b958d7910e8b2c0d
Autor:
Eun Jeong Choi, Dong Keun Kim
Publikováno v:
Healthcare Informatics Research, Vol 24, Iss 4, Pp 309-316 (2018)
ObjectivesBoth the valence and arousal components of affect are important considerations when managing mental healthcare because they are associated with affective and physiological responses. Research on arousal and valence analysis, which uses imag
Externí odkaz:
https://doaj.org/article/7cb72dd4d4564166932fb3c0093056bf
Autor:
Se-Hui Song, Dong Keun Kim
Publikováno v:
Healthcare Informatics Research, Vol 23, Iss 4, Pp 285-292 (2017)
ObjectivesStress management is related to public healthcare and quality of life; an accurate stress classification method is necessary for the design of stress monitoring systems. Therefore, the goal of this study was to design a novel stress classif
Externí odkaz:
https://doaj.org/article/8e903d64d9e14505b800eee29305eb3a
Publikováno v:
Sensors, Vol 20, Iss 3, p 866 (2020)
This study aimed to design an optimal emotion recognition method using multiple physiological signal parameters acquired by bio-signal sensors for improving the accuracy of classifying individual emotional responses. Multiple physiological signals su
Externí odkaz:
https://doaj.org/article/75ed37e88c134e95ad9d21c4bbaac751
Autor:
Jae Hyeok Choi, Su Kyeong Kwan, Hui Eun Ko, Jeong Hyun Park, Dong Keun Kim, Hai Woong Park, Arnaud Caron
Publikováno v:
Lubricants, Vol 7, Iss 11, p 99 (2019)
In this work, we investigate the effect of contact vibration on the friction of sliding single asperity contacts of different adhesion strength over a wide range of load and vibration amplitude. We convert the amplitude of vibration to its equivalent
Externí odkaz:
https://doaj.org/article/9deda1b7169e4c24b0c5dccf150c3c99
Autor:
Seungjun Oh, Dong-Keun Kim
Publikováno v:
IEEE Access, Vol 12, Pp 143074-143089 (2024)
In emotion classification using facial expressions, noise in the data is the main factor hindering improvement in accuracy. In this study, a deep learning model was developed that is robust to noise in image data when classifying emotions using facia
Externí odkaz:
https://doaj.org/article/3e10c5a4c19641d387feebcf1d3d51bb
Autor:
Sa-Haeng Kang, Dong-Gu Kim, Dong-Keun Kim, Hyuck-Se Kwon, Na-Young Lee, Hyun-Jeong Oh, Soon-Il Yun, Jong-Sik Jin
Publikováno v:
Applied Sciences, Vol 13, Iss 22, p 12449 (2023)
Allergic rhinitis (AR) is defined allergic disease that is mediated by Th2 cells. Its incidence rate is showing a growing tendency worldwide. Research on traditional medicine for AR is also being increasingly conducted. Thymus quinquecostatus Celakov
Externí odkaz:
https://doaj.org/article/969113367eb94f939495cb0005cae11c
Autor:
SeungJun Oh, Dong-Keun Kim
Publikováno v:
Cyberpsychology, Behavior, and Social Networking. 24:729-736
This study aims to classify cybersickness (CS) caused by virtual reality (VR) immersion through a machine-deep-ensemble learning model. The heart rate variability and respiratory signal parameters of 20 subjects were measured, while watching a VR vid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a53998505a5cc1e9b2ed281dc1e503c0
https://doi.org/10.1089/cyber.2020.0613
https://doi.org/10.1089/cyber.2020.0613
Autor:
Young-Jae Song, So-Jin Lee, Seong-Oh Kim, YongJin Cho, Mi-Na Jo, Yong-Deok Jeon, Hyeon-Jae Sim, Chong-Tai Kim, Hoon-Yeon Lee, Jong-Sik Jin, Dong-Keun Kim, Tae-eun Kim
Publikováno v:
Food Sci Biotechnol
To improve the industrial use of health-functional materials based on edible insects, the objective of this study was to establish optimal conditions for improving the quality of Protaetia brevitarsis seulensis larval (PBSL) hydrolysates. PBSL was ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e86a5ec414df10d9a8699873360a03d
https://doi.org/10.1007/s10068-020-00766-y
https://doi.org/10.1007/s10068-020-00766-y
Publikováno v:
Mobile Information Systems, Vol 2020 (2020)
Among the many deep learning methods, the convolutional neural network (CNN) model has an excellent performance in image recognition. Research on identifying and classifying image datasets using CNN is ongoing. Animal species recognition and classifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::382f4d2a478f85cfb9840e1741a779f1
https://doi.org/10.1155/2020/1475164
https://doi.org/10.1155/2020/1475164