Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Hee-Beom Lee"'
Publikováno v:
IEEE Access, Vol 12, Pp 122155-122167 (2024)
This study presents a preliminary investigation of a new strategy for detecting and classifying road hazards, such as potholes and bumps, based on rack force estimation of electric power steering (EPS) systems. The numerous studies on road hazard det
Externí odkaz:
https://doaj.org/article/3ccf96603c01480e980664826eb7a657
Publikováno v:
IEEE Access, Vol 12, Pp 100821-100831 (2024)
This study presents a preliminary investigation into robust vehicle mass estimation to enhance braking distance calculations for autonomous emergency braking systems. While active research has focused on headway distance estimation, primarily using c
Externí odkaz:
https://doaj.org/article/3829fbbe8f4e466d9d708f93484bdc80
Autor:
Hee-Beom Lee, Min-Hyoung Jung, Young-Hoon Kim, Eun-Byeol Park, Woo-Sung Jang, Seon-Je Kim, Ki-ju Choi, Ji-young Park, Kee-bum Hwang, Jae-Hyun Shim, Songhun Yoon, Young-Min Kim
Publikováno v:
Journal of Analytical Science and Technology, Vol 14, Iss 1, Pp 1-11 (2023)
Abstract The optimization of geometrical pore control in high-capacity Ni-based cathode materials is required to enhance the cyclic performance of lithium-ion batteries. Enhanced porosity improves lithium-ion mobility by increasing the electrode–el
Externí odkaz:
https://doaj.org/article/42eb9b203ee24a4281417f350a44ce1b
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract In this study, we present initial efforts for a new speech recognition approach aimed at producing different input images for convolutional neural network (CNN)-based speech recognition. We explored the potential of the tympanic membrane (ea
Externí odkaz:
https://doaj.org/article/821fb9e3476145f78b3a5949963b5322
Publikováno v:
Sensors, Vol 23, Iss 5, p 2437 (2023)
In this study, we present an alternative solution for detecting crack damages in rotating shafts under torque fluctuation by directly estimating the reduction in torsional shaft stiffness using the adaptive extended Kalman filter (AEKF) algorithm. A
Externí odkaz:
https://doaj.org/article/97ea9353fe344ad0a61e58f77861093a
Publikováno v:
Nano-, Bio-, Info-Tech Sensors, and Wearable Systems 2023.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc3efe49ca8d566bc417c1cbfacdf02c
https://doi.org/10.1117/12.2657817
https://doi.org/10.1117/12.2657817
Autor:
Hee-Beom Lee, Masahiro Ishimaru, John McPhillips, Roger L. Alvis, Timothy A. Johnson, Christopher H. Kang, Inchang Choi, Youngjin Cho, Kiju Choi
Publikováno v:
2022 IEEE International Symposium on the Physical and Failure Analysis of Integrated Circuits (IPFA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b47c4a33097412b43e170d78b111d4a5
https://doi.org/10.1109/ipfa55383.2022.9915708
https://doi.org/10.1109/ipfa55383.2022.9915708
Publikováno v:
Nano-, Bio-, Info-Tech Sensors, and Wearable Systems 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d466b34497429cb7bd9d993109e22134
https://doi.org/10.1117/12.2612325
https://doi.org/10.1117/12.2612325
Publikováno v:
Journal of Institute of Control, Robotics and Systems. 22:192-198
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::018f25877768fd9aceb221eac801cc8d
https://doi.org/10.5302/j.icros.2016.15.0135
https://doi.org/10.5302/j.icros.2016.15.0135
Autor:
Hee-Beom Lee
Publikováno v:
Journal of Commerce (1530-7557). 6/5/2006, Vol. 7 Issue 23, p41-41. 1p.