Zobrazeno 1 - 10
of 22 271
pro vyhledávání: '"Kim, Do A."'
Internet connectivity in schools is critical to provide students with the digital literary skills necessary to compete in modern economies. In order for governments to effectively implement digital infrastructure development in schools, accurate inte
Externí odkaz:
http://arxiv.org/abs/2412.12188
Solar vehicles, which simultaneously produce and consume energy, require meticulous energy management. However, potential users often feel uncertain about their operation compared to conventional vehicles. This study presents a simulator designed to
Externí odkaz:
http://arxiv.org/abs/2410.17712
Autor:
Kim, Do-Hyung
In this paper, we will show that one can use certain types of symplectic homology as an invariant of 3-dimensional Besse manifolds, which are contact manifolds admitting a periodic Reeb flow and hence allow Seifert fibration structure. For simplicity
Externí odkaz:
http://arxiv.org/abs/2405.20726
This paper is devoted to study of optimality conditions at infinity in nonsmooth minimax programming problems and applications. By means of the limiting subdifferential and normal cone at infinity, we dirive necessary and sufficient optimality condit
Externí odkaz:
http://arxiv.org/abs/2405.09869
High-resolution human settlement maps provide detailed delineations of where people live and are vital for scientific and practical purposes, such as rapid disaster response, allocation of humanitarian resources, and international development. The in
Externí odkaz:
http://arxiv.org/abs/2404.13127
Autor:
Ahn, Taekyung, Hong, Yeonjung, Im, Younggon, Kim, Do Hyung, Kang, Dayoung, Jeong, Joo Won, Kim, Jae Won, Kim, Min Jung, Cho, Ah-ra, Jang, Dae-Hyun, Nam, Hosung
This study presents a model of automatic speech recognition (ASR) designed to diagnose pronunciation issues in children with speech sound disorders (SSDs) to replace manual transcriptions in clinical procedures. Since ASR models trained for general p
Externí odkaz:
http://arxiv.org/abs/2403.08187
This paper presents a groundbreaking self-improving interference management framework tailored for wireless communications, integrating deep learning with uncertainty quantification to enhance overall system performance. Our approach addresses the co
Externí odkaz:
http://arxiv.org/abs/2401.13206
Autor:
Lee, Donghwan, Kim, Do-Wan
The main goal of this paper is to develop a new linear matrix inequality (LMI) condition for the asymptotic stability of continuous-time Takagi-Sugeno (T-S) fuzzy systems. A key advantage of this new condition is its independence from the bounds on t
Externí odkaz:
http://arxiv.org/abs/2401.02216
The ability to spatially and temporally map nanoscale environments in situ over extended timescales would be transformative for biology, biomedicine, and bioengineering. All nanometer objects, from nanoparticles down to single proteins, scatter light
Externí odkaz:
http://arxiv.org/abs/2310.02158
Relaxed Conditions for Parameterized Linear Matrix Inequality in the Form of Nested Fuzzy Summations
Autor:
Kim, Do Wan, Lee, Donghwan
The aim of this study is to investigate less conservative conditions for parameterized linear matrix inequalities (PLMIs) that are formulated as nested fuzzy summations. Such PLMIs are commonly encountered in stability analysis and control design pro
Externí odkaz:
http://arxiv.org/abs/2309.11988