Alumni

Seung Min Baik

졸업생 · POSTECH

Research at LST Lab.

연구와 연결되는 기록.

진로·소속: Assistant Professor, Hongik University

학위논문

Robust Input Sampling Strategies for Stochastic Simulations with Uncertain Input Model

학위논문 기록

Online temperature monitoring system for semiconductor automated test equipment using local Gaussian process

Kim, J.¹; Baik, S. M.; Yu, D.; Kim, J.; Ko, Y. M.^*

국소 가우시안 프로세스를 이용하여 반도체 자동 검사 장비의 온도를 모니터링합니다.

39(2), 256–265

상세 정보 논문 원문

2024학위논문T-seung-min-baik

POSTECH

Robust Input Sampling Strategies for Stochastic Simulations with Uncertain Input Model

Baik, S. M.

Ph.D. thesis

상세 정보

2023국제학술지J37

IISE Transactions

QoS-aware energy-efficient workload routing and server speed control policy in data centers: a robust queueing theoretic approach

Baik, S. M.¹; Ko, Y. M.^*

55(12), 1242–1255

상세 정보 논문 원문

2023국제학술지J36

IEEE Access

Reliability Improvement of Circular k-out-of-n: G Balanced Systems through Center of Gravity

Cho, Y.¹; Baik, S. M.; Ko, Y. M.^*

11, 91407–91422

상세 정보 논문 원문

나머지 2건 더 보기

2023국제학회 논문C2

Winter Simulation Conference

Robust Importance Sampling for Stochastic Simulations with Uncertain Parametric Input Model

Baik, S. M.¹; Ko, Y. M.^*; Byon, E.

397–408

상세 정보 논문 원문

2023워킹페이퍼W2

Working paper

Distributionally Robust Stratified Sampling for Stochastic Simulations With Multiple Uncertain Input Models

Baik, S. M.¹; Byon, E.; Ko, Y. M.^*

Working-paper record · 2023

상세 정보

Seung Min Baik

연구와 연결되는 기록.

학위논문

관련 논문 6

Online temperature monitoring system for semiconductor automated test equipment using local Gaussian process

Robust Input Sampling Strategies for Stochastic Simulations with Uncertain Input Model

QoS-aware energy-efficient workload routing and server speed control policy in data centers: a robust queueing theoretic approach

Reliability Improvement of Circular k-out-of-n: G Balanced Systems through Center of Gravity

Robust Importance Sampling for Stochastic Simulations with Uncertain Parametric Input Model

Distributionally Robust Stratified Sampling for Stochastic Simulations With Multiple Uncertain Input Models