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A framework of dynamic importance measure

Heo, Yunyeong , Bae, Junyong , Lee, Seung Jun

Conference Paper Issue Date2023-12-04 View30

A Framework of Quantification for Dynamic Probabilistic Safety Assessment

Heo, Yunyeong , Bae, Junyong , Lee, Seung Jun

Conference Paper Issue Date2023-10-26 View23

A human error detection system in nuclear power plant operations

Ahn, Jeeyea , Bae, Junyong , Lee, Seung Jun

Conference Paper Issue Date2019-02-11 View43

Adaptive Sampling for Limit Surface Search using Deep Neural Network and Monte Carlo Dropout

Bae, Junyong , Lee, Seung Jun

Conference Paper Issue Date2021-10-21 View15

An Autonomous Pressure Controller based on Approximation of Action Value Function

Bae, Junyong , Kim, Jaemin , Lee, Seung Jun

Conference Paper Issue Date2020-12-16 View26

An interpretable convolutional neural network for nuclear power plant abnormal events File

Shin, Ji Hyeon , Bae, Junyong , Kim, Jae Min , Lee, Seung Jun

Article Issue Date2023-01 View44

Application of Artificial Neural Network for Plant Parameter Forecasting

Bae, Junyong , Lee, Seung Jun

Conference Paper Issue Date2019-04-05 View15

Application of Deep Reinforcement Learning for Multi-objective and Continuous Control of Reactor Coolant

Bae, Junyong , Lee, Seung Jun

Conference Paper Issue Date2022-10-20 View17

Automatic Accident Sequences Generation for Dynamic PSA

Jo, Wooseok , Bae, Junyong , Lee, Seung Jun

Conference Paper Issue Date2024-10-10 View17

Automatic Generation of Dynamic Event Tree for Accident Progression through Flexible Analysis of Optimized Simulations

Jo, Wooseok , Bae, Junyong , Lee, Seung Jun

Conference Paper Issue Date2024-12-04 View24

Comparison of Multilayer Perceptron and Long Short-Term Memory for Plant Parameter Trend Prediction File

Bae, Junyong , Ahn, Jeeyea , Lee, Seung Jun

Article Issue Date2020-07 View23

Comparison of Quantification Methods for Reflecting Limiting Conditions for Operation during Startup Operation of Nuclear Power Plants

Kim, Jae Min , Bae, Junyong , Lee, Seung Jun

Conference Paper Issue Date2022-08-30 View27

Current Progress in the Application of Artificial Intelligence for Nuclear Power Plant Operation File

Bae, Junyong , Lee, Seung Jun

Article Issue Date2024-10 View51

Deep Autoencoding Gaussian Mixture Model for Detection of Manipulation Attacks on NPP Process Data

Bae, Junyong , Shin, Ji Hyeon , Lee, Seung Jun

Conference Paper Issue Date2024-10-10 View25

Deep learning for Guided Simulation of Scenarios for Dynamic Probabilistic Risk Assessment

Bae, Junyong , Park, Jong Woo , Lee, Seung Jun

Conference Paper Issue Date2022-06-27 View24

Deep Learning Model for Predicting Future Trends of NPP Parameters with Accident Trend Predictor and Operator Action Impact Evaluator

Jung, Donghee , Bae, Junyong , Lee, Seung Jun

Conference Paper Issue Date2024-10-10 View22

Deep Learning-based Optimized Simulation and Consequence Estimation with Neural Network Uncertainty for Dynamic Risk Assessment of Nuclear Power Plants File

Bae, Junyong

Thesis Issue Date2025-02 View9

Deep reinforcement learning for a multi-objective operation in a nuclear power plant File

Bae, Junyong , Kim, Jae Min , Lee, Seung Jun

Article Issue Date2023-09 View62

Dynamic risk assessment through automatic accident sequences generation using optimized simulation of nuclear power plants

Jo, Wooseok , Bae, Junyong , Lee, Seung Jun

Conference Paper Issue Date2024-12-10 View23

Epistemic Uncertainty in Deep Learning Models and Its Application to Simulation Optimization and Consequence Parameter Trend Predictions for Dynamic Risk Assessment

Bae, Junyong , Lee, Seung Jun

Conference Paper Issue Date2024-10-24 View21

Framework for Operator Manipulation Validation System using Plant Parameter Prediction

Bae, Junyong , Lee, Seung Jun

Conference Paper Issue Date2019-10-25 View14

Integrating deep learning and tree-search algorithms for autonomous emergency management in Nuclear Power Plants

Seoung, Yoojoon , Bae, Junyong , Lee, Seung Jun

Conference Paper Issue Date2024-12-09 View30

Limit Surface Search Algorithm With Artificial Neural Network and Monte Carlo Dropout Uncertainty Quantification

Bae, Junyong , Lee, Seung Jun

Conference Paper Issue Date2021-11-09 View15

Limit surface/states searching algorithm with a deep neural network and Monte Carlo dropout for nuclear power plant safety assessment File

Bae, Junyong , Park, Jong Woo , Lee, Seung Jun

Article Issue Date2022-05 View47

NPP Emergency Response Planning utilizing Tree Search Algorithm and Deep Learning Models

Bae, Junyong , Jung, Donghee , Lee, Seung Jun

Conference Paper Issue Date2023-09-03 View21

Nuclear Power Plant Parameter Prediction Strategy for Human Error Detection

Bae, Junyong , Lee, Seung Jun

Conference Paper Issue Date2019-11-18 View11

Operation validation system to prevent human errors in nuclear power plants File

Ahn, Jeeyea , Bae, Junyong , Min, Byung Joo , Lee, Seung Jun

Article Issue Date2022-10 View67

Optimized and Accelerated Simulation using Intermediate state Storage (OASIS) for Dynamic Probabilistic Safety Assessment

Kim, Kyeong Seo , Bae, Junyong , Lee, Seung Jun

Conference Paper Issue Date2024-12-10 View18

Optimized Simulation-Driven Automatic Generation of Dynamic Accident Sequences for LOCA scenarios

Jo, Wooseok , Bae, Junyong , Lee, Seung Jun

Conference Paper Issue Date2024-10-24 View21

Parameters Trend Prediction using Two-Stage Deep Learning Models to Capture their Predictive Uncertainty under Optimized Simulations

Bae, Junyong , Jo, Wooseok , Kim, Kyeong Seo , Lee, Seung Jun

Conference Paper Issue Date2024-12-05 View29

Postprocessing of Multi-dimensional Limit Surfaces Searched by a Deep Learning-based Algorithm

Bae, Junyong , Heo, Yunyeong , Jo, Wooseok , Lee, Seung Jun

Conference Paper Issue Date2023-10-26 View40

Real-time prediction of nuclear power plant parameter trends following operator actions File

Bae, Junyong , Kim, Geunhee , Lee, Seung Jun

Article Issue Date2021-12 View35

Sensitivity Study about Hyperparameters of a Guided Simulation Algorithm with Deep-learning

Bae, Junyong , Lee, Seung Jun

Conference Paper Issue Date2022-11-30 View21

Strategy to coordinate actions through a plant parameter prediction model during startup operation of a nuclear power plant File File

Kim, Jae Min , Bae, Junyong , Lee, Seung Jun

Article Issue Date2023-05 View54

Success Criteria Analysis using Deep Neural Network and Monte Carlo Dropout for Dynamic Probabilistic Safety Assessment

Heo, Yunyeong , Bae, Junyong , Jo, Wooseok , Lee, Seung Jun

Conference Paper Issue Date2023-10-24 View20

Two-stage prediction model of nuclear power plant parameter trends for preventing significantly erroneous predictions

Jung, Donghee , Bae, Junyong , Lee, Seung Jun

Conference Paper Issue Date2024-05-09 View22

Uncertainty-aware Limit Surface Search Algorithm using Deep Neural Network

Bae, Junyong , Lee, Seung Jun

Conference Paper Issue Date2021-12-02 View15

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