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Formal development of an operation monitoring and control system for nuclear reactors using Event‐B method

International journal of energy research, 2020-08, Vol.44 (10), p.8170-8180

2020

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Guest editorial for progress in nuclear and renewable energy systems and applications

International journal of energy research, 2020-08, Vol.44 (10), p.8024-8024

Park, Moon‐Ghu

2020

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Sorted compressive sensing for reconstruction of failed in-core detector signals

Nuclear Engineering and Technology, 2023, 55(5), , pp.1533-1540

2023

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Design of self‐sustainable small modular reactor with multiple fissile and fertile layers

International journal of energy research, 2018-01, Vol.42 (1), p.163-170

2018

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Limiting conditions prediction using machine learning for loss of condenser vacuum event

Nuclear Engineering and Technology, 2023, 55(12), , pp.4607-4616

2023

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Application of a combined safety approach for the evaluation of safety margin during a Loss of Condenser Vacuum event

Nuclear Engineering and Technology, 2022, 54(5), , pp.1698-1711

2022

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Loading pattern optimization using simulated annealing and binary machine learning pre-screening

Nuclear Engineering and Technology, 2024, 56(5), , pp.1672-1678

2024

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A contamination analysis of the primary coolant system with Monte Carlo simulations

Annals of nuclear energy, 2020-07, Vol.142, p.107386, Article 107386

2020

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Sensitivity study on criticality safety analysis of multiple misloading within the spent fuel storage cask

Annals of nuclear energy, 2020-09, Vol.144, p.107516, Article 107516

2020

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Reactor power shape synthesis using Group Method of Data Handling

Annals of nuclear energy, 2014-10, Vol.72, p.467-470

2014

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Multi-resolution analysis for determining control rod drop time

Journal of nuclear science and technology, 2014-03, Vol.51 (3), p.369-375

2014

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Sorted compressive sensing for reconstruction of failed in-core detector signals

Nuclear engineering and technology, 2023, Vol.55 (5), p.1533-1540

2023

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Application of a combined safety approach for the evaluation of safety margin during a Loss of Condenser Vacuum event

Nuclear engineering and technology, 2022, Vol.54 (5), p.1698-1711

2022

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Limiting conditions prediction using machine learning for loss of condenser vacuum event

Nuclear engineering and technology, 2023, Vol.55 (12), p.4607-4616

2023

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Locally optimal solution of robust ex-core detector response using constrained simulated annealing

Nuclear engineering and design, 2009, Vol.239 (1), p.51-57

2009

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Renormalization of power and burnup independent shape annealing function for excore detectors

Annals of nuclear energy, 2009-11, Vol.36 (11), p.1753-1759

2009

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Experimental demonstration of H ∞ filter performance for dynamic compensation of rhodium neutron detectors

Annals of nuclear energy, 2008-02, Vol.35 (2), p.340-344

2008

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GLRT Based Fault Detection in Sensor Drift Monitoring System

Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, p.600-609

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Minimum-norm solution of ill-posed neutron detector response using constrained quadratic programming

Nuclear engineering and design, 2004-06, Vol.231 (2), p.199-210

2004

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Time-optimal control of nuclear reactor power with adaptive proportional-integral-feedforward gains

IEEE transactions on nuclear science, 1993-06, Vol.40 (3), p.266-270

1993

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Design of self-sustainable small modular reactor with multiple fissile and fertile layers: Design of self-sustainable small modular reactor

International journal of energy research, 2018-01, Vol.42 (1), p.163-170

2018

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H∞ Filtering for Dynamic Compensation of Self-Powered Neutron Detectors - A Linear Matrix Inequality Based Method

Annals of nuclear energy, 1999, Vol.26 (18), p.1669-1682

1999

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Signal validation based on PCSVR and EULM

2009 IEEE International Symposium on Industrial Electronics, 2009, p.1054-1059

2009

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A study on the sensitivity of self-powered neutron detectors (SPNDs)

IEEE transactions on nuclear science, 2001-08, Vol.48 (4), p.1587-1591

2001

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Self-tunning control of a nuclear reactor using a Gaussian function neural network

Nuclear technology, 1995, Vol.110 (2), p.285-293

1995

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Formal development of an operation monitoring and control system for nuclear reactors using Event‐B method

Guest editorial for progress in nuclear and renewable energy systems and applications

Sorted compressive sensing for reconstruction of failed in-core detector signals

Design of self‐sustainable small modular reactor with multiple fissile and fertile layers

Limiting conditions prediction using machine learning for loss of condenser vacuum event

Application of a combined safety approach for the evaluation of safety margin during a Loss of Condenser Vacuum event

Loading pattern optimization using simulated annealing and binary machine learning pre-screening

A contamination analysis of the primary coolant system with Monte Carlo simulations

Sensitivity study on criticality safety analysis of multiple misloading within the spent fuel storage cask

Reactor power shape synthesis using Group Method of Data Handling

Multi-resolution analysis for determining control rod drop time

Sorted compressive sensing for reconstruction of failed in-core detector signals

Application of a combined safety approach for the evaluation of safety margin during a Loss of Condenser Vacuum event

Limiting conditions prediction using machine learning for loss of condenser vacuum event

Locally optimal solution of robust ex-core detector response using constrained simulated annealing

Renormalization of power and burnup independent shape annealing function for excore detectors

Experimental demonstration of H ∞ filter performance for dynamic compensation of rhodium neutron detectors

GLRT Based Fault Detection in Sensor Drift Monitoring System

Minimum-norm solution of ill-posed neutron detector response using constrained quadratic programming

Time-optimal control of nuclear reactor power with adaptive proportional-integral-feedforward gains

Design of self-sustainable small modular reactor with multiple fissile and fertile layers: Design of self-sustainable small modular reactor

H∞ Filtering for Dynamic Compensation of Self-Powered Neutron Detectors - A Linear Matrix Inequality Based Method

Signal validation based on PCSVR and EULM

A study on the sensitivity of self-powered neutron detectors (SPNDs)

Self-tunning control of a nuclear reactor using a Gaussian function neural network

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