Thursday, July 8, 2021

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2021. 8
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2021-07-12 / 10:00 ~ 12:00
IBS-KAIST 세미나 - 수리생물학: 인쇄
by ()
TBA
2021-07-14 / 15:00 ~ 16:00
학과 세미나/콜로퀴엄 - 대수기하학: Spectral data for SL(2,C)-Higgs bundles over an irreducible nodal curve 인쇄
by 유상범(공주교육대)
The studies on the fibers of the Hitchin map are equivalent to those on spectral data for Higgs bundles. In this talk, I will introduce spectral data for SL(2, C)- Higgs bundles over a smooth curve and then discuss how to describe spectral data for SL(2, C)-Higgs bundles over an irreducible nodal curve.
2021-07-14 / 17:00 ~ 18:00
IBS-KAIST 세미나 - 수리생물학: 인쇄
by ()
Organisms have evolved an internal biological clock which allows them to temporally regulate and organize their physiological and behavioral responses to cope in an optimal way with the fundamentally periodic nature of the environment. It is now well established that the molecular genetics of such rhythms within the cell consist of interwoven transcriptional-translational feedback loops involving about 15 clock genes, which generate circa 24-h oscillations in many cellular functions at cell population or whole organism levels. We will present statistical methods and modelling approaches that address newly emerging large circadian data sets, namely spatio-temporal gene expression in SCN neurons and rest-activity actigraph data obtained from non-invasive e-monitoring, both of which provide unique opportunities for furthering progress in understanding the synchronicity of circadian pacemaking and address implications for monitoring patients in chronotherapeutic healthcare.
2021-07-09 / 15:00 ~ 16:00
학과 세미나/콜로퀴엄 - 응용수학 세미나: Application of MUSIC algorithm in real-world microwave imaging 인쇄
by 박원광(동국대학교)
MUltiple SIgnal Classification (MUSIC) is a well-known, non-iterative imaging technique in inverse scattering problem. Throughout various researches, it has been confirmed that MUSIC is very fast, effective, and stable. Due to this reason MUSIC has been applied to various inverse scattering problems however, it has not yet been designed and used to identify unknown anomalies from measured scattering parameters (S-parameters) in microwave imaging. In this presentation, we apply MUSIC in microwave imaging for a fast identification of arbitrary shaped anomalies from real-data and establish a mathematical theory for illustrating the feasibilities and limitations of MUSIC. Simulations results with real-data are shown for supporting established theoretical results. Meeting ID: 873 9069 4743 Passcode: 728543
Events for the 취소된 행사 포함 모두인쇄
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