Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Chan-Soo Park"'
Autor:
Chan-Soo Park, Se-Ryong Kang, Jo-Eun Kim, Kyung-Hoe Huh, Sam-Sun Lee, Min-Suk Heo, Jeong-Joon Han, Won-Jin Yi
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract The bone mineral density (BMD) measurement is a direct method of estimating human bone mass for diagnosing osteoporosis, and performed to objectively evaluate bone quality before implant surgery in dental clinics. The objective of this study
Externí odkaz:
https://doaj.org/article/09f2c64e11aa45b585c139c3cddbec3e
Publikováno v:
Healthcare Informatics Research, Vol 21, Iss 3, Pp 201-205 (2015)
ObjectivesThe aim of this work is to use a 3D solid model to predict the mechanical loads of human bone fracture risk associated with bone disease conditions according to biomechanical engineering parameters.MethodsWe used special image processing to
Externí odkaz:
https://doaj.org/article/8df0b5d2dc9241e7b9bf93aa23b60468
Publikováno v:
The Scientific World Journal, Vol 2013 (2013)
This paper investigates dynamic characteristics of a historic wooden structure by ambient vibration testing, presenting a novel estimation methodology of story stiffness for the purpose of vibration-based structural health monitoring. As for the ambi
Externí odkaz:
https://doaj.org/article/91fdef90d1664b6cb0230a6e206e92fc
Publikováno v:
Journal & Article Management System. 44:1-21
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e12f65d1452567f8f2f8ca602f0c8c00
https://doi.org/10.31927/asec.17.4.1
https://doi.org/10.31927/asec.17.4.1
Autor:
Chan-soo Park
Publikováno v:
The Korean Literature and Arts. 36:181-214
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b073703e2ecc940e679b4d589dd2a37
https://doi.org/10.21208/kla.2020.12.36.181
https://doi.org/10.21208/kla.2020.12.36.181
Publikováno v:
International Journal of Control, Automation and Systems. 18:2699-2707
Place recognition is a method for determining whether a robot has previously visited the place it currently observes, thus helping the robot correct its accumulated position error. Ultimately, the robot will travel long distances more accurately. Con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3a5c6f48433223778219b67cfbf4e72
https://doi.org/10.1007/s12555-019-0891-x
https://doi.org/10.1007/s12555-019-0891-x
Publikováno v:
IEEE Transactions on Medical Imaging. 38:968-978
This paper describes the implementation of a novel and robust threshold energy calibration method for photon counting detectors using polychromatic X-ray tubes. Methods often used for such energy calibration may require re-orientation of the detector
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65950bb28197cda9e33f6bd3fbf37eaf
https://doi.org/10.1109/tmi.2018.2875932
https://doi.org/10.1109/tmi.2018.2875932
Autor:
Jae-Bok Song, Chan-Soo Park
Publikováno v:
International Journal of Control, Automation and Systems. 16:1332-1340
In image-based global localization, a robot pose is estimated through image association when the robot revisits a previously visited location on a map. Image association is typically performed using high-level local features such as scale invariant f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60e4329b2ade8b4d3b26335769eb8e7b
https://doi.org/10.1007/s12555-016-0491-y
https://doi.org/10.1007/s12555-016-0491-y
Publikováno v:
Applied Sciences, Vol 11, Iss 8692, p 8692 (2021)
Applied Sciences
Volume 11
Issue 18
Applied Sciences
Volume 11
Issue 18
Convolutional-neural-network (CNN)-based methods are continuously used in various industries with the rapid development of deep learning technologies. However, an inference efficiency problem was reported in applications that require real-time perfor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c013822d8a05c78382727e0c3992264
https://doi.org/10.3390/app11188692
https://doi.org/10.3390/app11188692
Publikováno v:
Journal of KIISE. 44:1125-1129
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3eb66b3f4b90f84e7aecdfec9d05bb59
https://doi.org/10.5626/jok.2017.44.11.1125
https://doi.org/10.5626/jok.2017.44.11.1125