Zobrazeno 1 - 10
of 673
pro vyhledávání: '"Kim, YoungJae"'
This paper proposes a data-driven model predictive control for multirotor collision avoidance considering uncertainty and an unknown model from a payload. To address this challenge, sparse identification of nonlinear dynamics (SINDy) is used to obtai
Externí odkaz:
http://arxiv.org/abs/2412.06388
Autor:
Kim, Youngjae, Godavarthi, Vedasri, Rolandi, Laura Victoria, Klamo, Joseph T., Taira, Kunihiko
We investigate the effect of three-dimensionality on the synchronization characteristics of the wake behind an oscillating circular cylinder at Re = 300. Cylinder oscillations in rotation, transverse translation, and streamwise translation are consid
Externí odkaz:
http://arxiv.org/abs/2411.06279
Autor:
Kim, KiHwan, Chung, Hyunsun, Ahn, Seonghoon, Park, Junhyeok, Jamil, Safdar, Byun, Hongsu, Lee, Myungcheol, Choi, Jinchun, Kim, Youngjae
Log-Structured Merge (LSM) tree-based Key-Value Stores (KVSs) are widely adopted for their high performance in write-intensive environments, but they often face performance degradation due to write stalls during compaction. Prior solutions, such as r
Externí odkaz:
http://arxiv.org/abs/2410.21760
Autor:
Choi, Yu Sung, Lee, Ki Young, An, Soo-Chan, Jang, Minchul, Kim, Youngjae, Shin, Seung Han, Yoon, Jae Woong
Beam shaping in nanophotonic systems remains a challenge due to the reliance on complex heuristic optimization procedures. In this work, we experimentally demonstrate a novel approach to topological beam shaping using Jackiw-Rebbi states in metasurfa
Externí odkaz:
http://arxiv.org/abs/2410.04806
The difficulty of acquiring abundant, high-quality data, especially in multi-lingual contexts, has sparked interest in addressing low-resource scenarios. Moreover, current literature rely on fixed expressions from language IDs, which results in the i
Externí odkaz:
http://arxiv.org/abs/2409.18622
Autor:
Kim, Yoochan, Kim, Kihyun, Cho, Yonghyeon, Kim, Jinwoo, Khan, Awais, Kang, Ki-Dong, An, Baik-Song, Cha, Myung-Hoon, Kim, Hong-Yeon, Kim, Youngjae
Distributed Deep Learning (DDL), as a paradigm, dictates the use of GPU-based clusters as the optimal infrastructure for training large-scale Deep Neural Networks (DNNs). However, the high cost of such resources makes them inaccessible to many users.
Externí odkaz:
http://arxiv.org/abs/2403.05861
Autor:
Kim, Youngjae
The dynamical Franz-Keldysh effect, indicative of the transient light-matter interaction regime between quantum and classical realms, is widely recognized as an essential signature in wide bandgap condensed matter systems such as dielectrics. In this
Externí odkaz:
http://arxiv.org/abs/2401.16898
To model complex turbulent flow and heat transfer phenomena, this study aims to analyze and develop a reduced modeling approach based on artificial neural network (ANN) and wrapper methods. This approach has an advantage over other methods such as th
Externí odkaz:
http://arxiv.org/abs/2308.02602
Autor:
Byun, Hongsu, Jamil, Safdar, Han, Jungwook, Park, Sungyong, Lee, Myungcheol, Kim, Changsoo, Choi, Beongjun, Kim, Youngjae
The data movement in large-scale computing facilities (from compute nodes to data nodes) is categorized as one of the major contributors to high cost and energy utilization. To tackle it, in-storage processing (ISP) within storage devices, such as So
Externí odkaz:
http://arxiv.org/abs/2306.04323
Autor:
Kim, Youngjae
We applied the time-resolved attosecond transient absorption spectroscopy to systematically investigate ultrafast optical responses of condensed matter systems. Under an intense pump pulse, absorption spectra indicate that the non-interacting electro
Externí odkaz:
http://arxiv.org/abs/2302.11391