Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Sechan Oh"'
Publikováno v:
IEEE Access, Vol 10, Pp 27014-27030 (2022)
This paper presents an emergency pullover algorithm for fail-safe systems designed for level-4 autonomous vehicles. The proposed algorithm utilizes feedback gain adaptation, based on sensitivity estimation, and cost-based learning. Vehicle failure wi
Externí odkaz:
https://doaj.org/article/d932d0fda5d14f6eb4a9829d1faf446c
Autor:
Chunli Wang, Lingzu Kong, Seokmin Kim, Sunyoung Lee, Sechan Oh, Seona Jo, Inhwan Jang, Tae-Don Kim
Publikováno v:
International Journal of Molecular Sciences, Vol 23, Iss 18, p 10412 (2022)
Interleukin-7 (IL-7) is a multipotent cytokine that maintains the homeostasis of the immune system. IL-7 plays a vital role in T-cell development, proliferation, and differentiation, as well as in B cell maturation through the activation of the IL-7
Externí odkaz:
https://doaj.org/article/a6e8ec878f634ac9a473ee5a754e10f6
Publikováno v:
Transaction of the Korean Society of Automotive Engineers. 30:463-476
Publikováno v:
Transaction of the Korean Society of Automotive Engineers. 29:493-505
Publikováno v:
2021 21st International Conference on Control, Automation and Systems (ICCAS).
Publikováno v:
2021 21st International Conference on Control, Automation and Systems (ICCAS).
Publikováno v:
ASME 2021 30th Conference on Information Storage and Processing Systems.
This study proposes algorithms for performance index-based actuator fault detection and fault-tolerant control with adaptive feedback. Longitudinal control algorithm of autonomous vehicles is generally divided into three main parts such as supervisor
Publikováno v:
European Journal of Operational Research. 253:144-153
This paper studies cost uncertainty in services. Despite the fact that the service sector has become the largest component of gross domestic products in most developed economies, cost uncertainty and its impact on pricing decisions have not received
Autor:
Sechan Oh, Özalp Özer
Publikováno v:
Production and Operations Management. 25:1820-1838
This paper studies a stochastic model of optimal stopping processes, which arise frequently in operational problems (e.g., when a manager needs to determine an optimal epoch to stop a process). For such problems, we propose an effective method of cha
Autor:
Sechan Oh
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 31
This paper studies a top-k hierarchical classification problem. In top-k classification, one is allowed to make k predictions and no penalty is incurred if at least one of k predictions is correct. In hierarchical classification, classes form a struc