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이윤준 교수

Yun-Joon Lee

KAIST 전산학부 · 컴퓨터과학

연구실 소개

이 교수의 연구실은 핵열력 제어 및 제어 시스템 설계 분야에 초점을 맞추고 있으며, 특히 원자로의 안정적이고 정밀한 출력 제어를 위한 최적 제어 이론과 지능형 제어 기법을 연구하고 있습니다. MapReduce 기반 대용량 데이터 처리, 문서 순서 매기기 기법, 그리고 핵심 제어 알고리즘의 최적화 등 다양한 분야의 기술을 융합하여 핵심 기술의 신뢰성과 효율성을 제고하고자 합니다. 특히, 퍼지 모델 예측 제어, LQR 최적화, 로버스트 제어 설계 등 고도화된 제어 이론을 실제 원자로 응용에 접목하는 데 주력하고 있습니다.

핵제어최적제어퍼지모델예측제어로버스트제어LQR최적화

연구 현황

논문 수
191
총 인용 수
1,553
최근 5년 논문
23
주요 분야
컴퓨터과학

연구 성과 추이

표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.

5개년 연도별 논문 게재 수
23총합
2013
2014
2015
2016
2017
5개년 연도별 피인용 수
51총합
20132014201520162017

주요 논문

15
1
논문|인용수 555·2012
Parallel data processing with MapReduce
Kyong-Ha Lee, Yoon-Joon Lee, Hyun‐Sik Choi, Yon Dohn Chung, Bongki Moon
SJR Q2ACM SIGMOD Record

A prominent parallel data processing tool MapReduce is gaining significant momentum from both industry and academia as the volume of data to analyze grows rapidly. While MapReduce is used in many areas where massive data analysis is required, there are still debates on its performance, efficiency per node, and simple abstraction. This survey intends to assist the database and open source communities in understanding various technical aspects of the MapReduce framework. In this survey, we charact

Information SystemsComputer Science
2
논문|인용수 275·1993
INFORMATION RETRIEVAL BASED ON CONCEPTUAL DISTANCE IN IS‐A HIERARCHIES
Joon Ho Lee, Myoung Ho Kim, Yoon Joon Lee
SJR Q1Journal of Documentation

There have been several document ranking methods to calculate the conceptual distance or closeness between a Boolean query and a document. Though they provide good retrieval effectiveness in many cases, they do not support effective weighting schemes for queries and documents and also have several problems resulting from inappropriate evaluation of Boolean operators. We propose a new method called Knowledge‐Based Extended Boolean Model (kb‐ebm) in which Salton's extended Boolean model is incorpo

Signal ProcessingComputer Science
3
논문|인용수 66·2006
Design of a fuzzy model predictive power controller for pressurized water reactors
Man Gyun Na, In Joon Hwang, Yoon Joon Lee
SJR Q2IEEE Transactions on Nuclear Science

In this paper, a fuzzy model predictive control method is applied to design an automatic controller for thermal power control in pressurized water reactors. The future reactor power is predicted by using the fuzzy model identified by a subtractive clustering method of a fast and robust algorithm. The objectives of the proposed fuzzy model predictive controller are to minimize both the difference between the predicted reactor power and the desired one, and the variation of the control rod positio

Control and Systems EngineeringEngineering
4
논문|인용수 35·1994
Ranking documents in thesaurus-based boolean retrieval systems
Joon Ho Lee, Myoung Ho Kim, Yoon Joon Lee
SJR Q1Information Processing & Management
Information SystemsComputer Science
5
book chapter|인용수 33·2005
Maintaining Consistency Under Isolation Relaxation of Web Services Transactions
Seunglak Choi, Hyuk‐Jae Jang, Hangkyu Kim, Jung-Sook Kim, Su Myeon Kim, Junehwa Song, Yoon-Joon Lee
SJR Q2Lecture notes in computer science
Information SystemsComputer Science
6
논문|인용수 12·2002
Robust Controller Design of Nuclear Power Reactor by Parametric Method
Yoon-Joon Lee, Man-Gyun Na
SJR Q2Nuclear Engineering and Technology

The robust controller for the nuclear reactor power control system is designed. Since the reactor model is not exact, it is necessary to design the robust controller that can work in the real situations of perturbations. The reactor model is described in the form of transfer function and the bound of each coefficient is determined to set up the linear interval system. By the Kharitonov and the edge theorem, a frequency based design template is made and applied to the determination of the control

Aerospace EngineeringEngineering
7
논문|인용수 4·1997
Determination of the Weighting Parameters of the LQR System for Nuclear Reactor Power Control Using the Stochastic Searching Methods
Yoon Joon Lee, Kyung Ho Cho
SJR Q2Nuclear Engineering and Technology

The reactor power control system is described in the fashion of the order increased LQR system. To obtain the optimal state feedback gain vectors, the weighting matrix of the performance function should be determined. Since the contentional method has some limitations, stochastic searching methods are investigated to optimize the LQR weighting matrix using the modified genetic algorithm combined with the simulated annealing, a new optimizing tool named the hybrid MGA-SA is developed to determine

Aerospace EngineeringEngineering
8
논문|인용수 4·2006
Modelling of Nuclear Reactor and Power Control by Extended Frequency Method
Yoon Joon Lee, Man Gyun Na
Proceedings of the Annual Conference of the IEEE Industrial Electronics Society

The controller for the control of nuclear reactor power is designed. The reactor is modelled by using the three dimensional reactor design code of MASTER. From the relation of the input and output of the reactor code, the reactor dynamic model is derived by the system identification method. With this model, a controller is designed by the extended frequency response method. Since this method has the same theoretical background as the classical method, all the existing design techniques of the cl

Aerospace EngineeringEngineering
10
논문|인용수 3·1997
Robust Controller Design for the Nuclear Reactor Power Control System
Yoon-Joon Lee, Jung-In Choi
SJR Q2Nuclear Engineering and Technology

The robust controller for the nuclear reactor power control system is designed. The nuclear reactor is modeled by use of the point kinetics equations and the singly lumped energy balance equations, Since the model is not exact, the controller which can make the actual system robust is necessary. The perturbed plant is investigated by employing the uncertainties of the initial power level and the physical properties, and by introducing the delay into the modeled plant The overall system is config

Aerospace EngineeringEngineering
11
논문|인용수 2·1995
The LQG/LTR Dynamic Digital Control System Design for the Nuclear Steam Generator Water Level
Yoon Joon Lee

The steam generator feedwater and level control system is designed by two steps of the feedwater control design and the feedback loop controller design. The feedwater sen system is designed by the optimal LQR/LQG approach and then is modified by the LTR method to recover the robustness. The plant characteristics are subject to change with the power variation and these dynamic properties are considered in the design of the feedback controller. All the designs are made in the continuous domain and

Aerospace EngineeringEngineering
12
book|인용수 1·2004
Database Systems for Advances Applications
Yoonjoon Lee, Jianzhong Li, Kyu-Young Whang, Doheon Lee
Springer eBooks
Artificial IntelligenceComputer Science
13
논문|인용수 1·2000
The Level Control System Design of the Nuclear Steam Generator for Robustness and Performance
Yoon Joon Lee, Heon Ju Lee, Kyung Yeon Kim
SJR Q2Nuclear Engineering and Technology

The nuclear steam generator level control system is designed by robust control methods. The feedwater controller is designed by three methods of the H, the mixed weight sensitivity and the structured singular value. Then the controller located on the feedback loop of the level control system is designed. For the system performance, the controller of simple PID whose coefficients vary with the power is selected. The simulations show that the system has a good performance with proper stability mar

Control and Systems EngineeringEngineering
14
논문|인용수 0·2004
The Robust Operation of Deaerator Level Control System by Fault Detection and Diagnosis
Yoon-Joon Lee, Man-Gyun Na
ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications
Control and Systems EngineeringEngineering
15
논문|인용수 0·1997
Robust reactor power control system design by genetic algorithm
Yoon Joon Lee, Kyung Ho Cho, Sin Kim
Control and Systems EngineeringEngineering

대표 연구 분야

Computer Networks and CommunicationsArtificial IntelligenceInformation SystemsElectrical and Electronic EngineeringAerospace EngineeringControl and Systems Engineering

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