• Proceedings of the KIEE Conference
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• 2007.10a
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• pp.241-242
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• 2007

병렬형 마일드 HEV(Hybrid Electric Vehicles)는 동력변환과정이 적어 구동계 전체의 효율이 직렬형에 비해 우수하고 다양한 구조를 가질 수 있으며 기존차량에 적용하기 쉽다는 장점이 있으나 구조 및 제어가 복잡하다. 따라서 병렬형 마일드 HEV의 성능을 예측하고 적절한 제어기를 설계하기 위해서는 구성요소의 종류 및 규격과 제어전략에 따른 HEV의 성능을 해석할 수 있는 체계적인 방법이 필요하다. 따라서 본 논문에서는 Simulink 소프트웨어를 이용한 모듈화 모델링에 의하여 병렬형 HEV의 구성요소를 모델링하고 이로부터 병렬형 HEV의 성능해석 및 운전제어전략의 특성을 비교할 수 있도록 한다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.13 no.3
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• pp.25-37
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• 2014

Recently, our local governments are conducting the introduction of tram system because it is recognized as an effective public transit that can solve a traffic jam in downtown, decreasing public transit share and environmental issues in world wide cities. We developed the Active Priority Control Strategy to efficiently operate a tram in our existing traffic signal system. This study organized the tram system for operating the Active Priority Signal Control, developed the algorithm that calculates a tram-stop dwell time in order to pass the downstream intersection without a stop. The dwell time is determined by arrival time at tram-stop, downstream signal time, and the location of a opposite tram, it can be reduced by choosing the optimal one among Signal Priority Controls. Using the VISSIM and VISVAP model, we conducted a simulation test for the city of Chang-won that it is expected to install a tram system. It showed that a developed signal control strategy is effective to prevent a tram's stop in intersections, to reduce a tram's travel time.

• Journal of the Korean Institute of Intelligent Systems
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• v.9 no.6
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• pp.627-633
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• 1999

In this paper, we propose a method of cooperative control (T-cell modeling) and selection of group behavior strategy (B-cell modeling) based on immune system in distributed autonomous robotic system (DARS). Immune system is living body's self-protection and self-maintenance system. These features can be applied to decision making of optimal swarm behavior in dynamically changing environment. For applying immune system to DARS, a robot is regarded as a ？3-cell, each environmental condition as an antigen, a behavior strategy as an antibody and control parameter as a T-cell respectively. When the environmental condition (antigen) changes, a robot selects an appropriate behavior strategy (antibody). And its behavior strategy is stimulated and suppressed by other robot using communication (immune network). Finally much stimulated strateby is adopted as a swarm behavior strategy. This control scheme is based on clonal selection and immune network hypothesis, and it is used for decision making of optimal swarm strategy. Adaptation ability of robot is enhanced by adding T-cell model as a control parameter in dynamic environments.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.1 no.1
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• pp.58-69
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• 2002

Most of the traffic accidents are a rear-end collision and a clash generated in the signalized intersection on the local roads. So, it is demanded that the high-quality of signal control and dilemma zone control. According to the cases generated by foreign countries, we established the strategies which are composed of Volume-Density Control, strategy of the dilemma zone control using R-detector (microwave detector) In Japan and EC-DC Control. MOEs(Measure of effectiveness) are car numbers in the dilemma zone , max-out probability in the safe side and the average stopping delay in the progress side. We choose a signalized intersection in rural highway to analyze the effect of the strategies and practiced an on-the-spot survey. The result of the survey is applied to the basic data in the simulator. Consequently, strategy of the dilemma zone control using R-detector(microwave detector) in Japan is the best effective in the safe side and EC-DC control is the best in the progress side. Based on the result, we developed the effective strategy of the signal control . This strategy is composed of the strategy of Japan and the detector on the stopping line used in the EC-DC control. On the result of the analysis, new strategy is the best effective in two sides.

• Proceedings of the KIPE Conference
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• 2015.07a
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• pp.123-124
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• 2015

국제 전기기술 위원회(International Electro-technical Commission; IEC)에서는 풍력발전 시스템의 표준화된 전력 안정도 연구에 적합한 전기적 시뮬레이션 모델에 대한 규정 IEC 61400-27을 제정 중에 있다. 본 논문에서는 IEC 61400-27에서 제시하고 있는 풍력터빈의 시뮬레이션 모델을 구현하였으며, 이를 통해 규정에서 제시하고 있는 풍력터빈 시뮬레이션 모델의 저전압 사고시 LVRT 제어전략에 따른 특성을 파형을 통해 나타내었다

• The Journal of Korean Institute of Communications and Information Sciences
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• v.21 no.2
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• pp.541-551
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• 1996

This study develops the real time ULTC(Under Load Tap Changer) control strategy with LDC setting values moved dynamically using artificial neural networks. The suggested strategy can improve the ULTC voltage compensation capability by building 2 types of neural networks, ANNs and ANNg. ANNs recognizes the uncompensated MTr sending voltage change caused by the receiving voltage variation. And ANNg dynamically determines the most appropriate ULTC setting valtage chanbe caused by the receiving voltage variation. And ANNg dynamically determines the most appropriate ULTC setting values by recognizing the voltage level obtained from ANNs, and the section load pattern for each time period. In order to evaluate the suggested approach, the ULTC voltage compensation strategy are simulated on a 8 feeder distribution system. Artificial neural networks developed in this study are implemented in FORTRAN language on PC 386.

• Journal of the Korean Home Economics Association
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• v.41 no.12
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• pp.103-116
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• 2003

It's very important to control their buying impulse for consumers surrounding in the very aggressive marketing strategies and materialistic socio-economic system. This study was to explore consumer's strategies to resist their buying impulses. The results from content analysis of interview data show various strategies and very similar to the self-control strategies of literature. The pre-stage strategies to resist buying impose were avoidances marketing strategies, pre-commitments, searching informations and bringing shopping lists and etc. The post-stage strategies were suspicions about marketing messages, considerations of negative outcomes, postponements, economic cost assessments, substitutions and etc. Developments and assessments of education programs to enhance consumer's self-control were needed.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.467-468
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• 2014

본 논문에서는 컴퓨터 보안 강화를 위해 WOL(Wake On LAN) 기능을 출입문 제어시스템에 탑재하여 RFID 카드를 소지한 사용자만이 컴퓨터에 일차적으로 접근 가능한 전략을 제안한다. 이러한 전략은 컴퓨터 사용을 위해 단순히 비밀번호를 이용해 로그온 하는 기존의 방법과 비교해 사전에 자신의 RFID 카드를 이용한 물리보안 인증 단계를 전처리 과정으로 포함함으로써 컴퓨터 보안이 한층 강화되었다고 볼 수 있다. 뿐만 아니라 출입문 제어시스템에 탑재된 WOL 기능에 의해 사용자가 자신의 컴퓨터에 실질적으로 접근하기 이전에 일부 부팅과정에 완료됨에 따라 사용자가 컴퓨터 부팅 과정동안 기다려야하는 대기시간을 줄임으로써 업무효율을 기대할 수 있다. 본 논문에서는 RFID 리더기와 라즈베리파이(Rasqberry Pi)사용해 WOL 기능을 탑재한 출입문 제어시스템을 직접 구현하고 실제 컴퓨팅 환경을 구현해 실험을 실시하였다.

• 한국ITS학회:학술대회논문집
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• 2010.05a
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• pp.145-147
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• 2010

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.18 no.2
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• pp.49-54
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• 2004

In process control, PPl controller including smith predictor was proposed for efficient control method because of the weak performance by the effect of long dead-time. But PPI controller can not guarantee of control performance at real plant because of sensitivity to model mismatch. Thus, In this paper, we presented new control parameter estimation strategy for compensating of model mismatch. The proposed startegy obtained useful result through various cases.