• 한국콘텐츠학회논문지
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• 제5권2호
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• pp.79-85
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• 2005

웹 서버 클러스터 환경에서 다중의 서버들이 원활하게 상호연동을 수행하여 클라이언트의 요청을 처리 하기 위해서는 TCP 정보나 요청되는 대상의 컨텐트(content)정보를 이용하여 라우팅을 수행하는 라우터의 구현이 필수적이다. 본 논문의 구현 패키지 S/W에 의해 데이터 생성기, 가상서버, 서버1,2,3 에서 발생하는 패킷의 량을 측정한 것으로 서버1,2,3에게 트래픽을 분산시키는지 파악할 수 있었으며, 실험결과와 같이 들어오는 데이터의 크기가 많이 차이나지 않는 이상 라운드 로빈 알고리즘은 확실한 형태의 트래픽 분산을 가능하게 해주었다. 그리고 일부분에서 오차가 심한 경우도 있지만 횟수를 거듭하고 테스트가 장기화 될수록 오차는 줄어들었다.

• 한국신재생에너지학회:학술대회논문집
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• 한국신재생에너지학회 2008년도 추계학술대회 논문집
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• pp.21-24
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• 2008

We have developed a $kW_e$ class liquid fuel based solid oxide fuel cell (SOFC) system. Our final target is to develop the 1 $kW_e$ diesel based SOFC system for residential power generator(RPG). In this study, we present the conceptual design of SOFC system. System is composed of hot-box and cold-box. Planar typed SOFC stack, heat exchanger, combustor for stack tail gas, and fuel processor, such as fuel reformer and desulfurizer, are contained in the hot-box. And several balance of plants(BOP), such as fuel suppliers and controller, are contained in the cold-box. Before the SOFC system fabrication, we have already operated the selfsustaining fuel processor, and heat exchange of all heat-related components is simulated using ASPEN HYSYS, because heat maintenance and management in hot-box are important for stable operation of SOFC system. The self-sustained fuel processor was successfully operated for about 250 hours, and heat exchange is enough to operate the SOFC system.

• Transactions on Electrical and Electronic Materials
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• 제5권2호
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• pp.71-75
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• 2004

This paper proposes a new bandgap reference (BGR) circuit which takes advantage of a cascode current mirror biasing to reduce the V$\_$ref/ variation, and sizing technique, which utilizes two related ratio numbers k and N, to reduce the PNP BJT area. The proposed BGR is designed and fabricated on a test chip with a goal to provide a reference voltage to the 10 bit A/D(4-4-4 pipeline architecture) converter of the CMOS Active Pixel Sensor (APS) imager to be used in X-ray imaging. The basic temperature variation effect on V$\_$ref/ of the BGR has a maximum delta of 6 mV over the temperature range of 25$^{\circ}C$ to 70$^{\circ}C$. To verify that the proposed BGR has radiation hardness for the X-ray imaging application, total ionization dose (TID) effect under Co-60 exposure conditions has been evaluated. The measured V$\_$ref/ variation under the radiation condition has a maximum delta of 33 mV over the range of 0 krad to 100 krad. For the given voltage, temperature, and radiation, the BGR has been satisfied well within the requirement of the target 10 bit A/D converter.

• 한국원자력학회:학술대회논문집
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• 한국원자력학회 1997년도 추계학술발표회논문집(1)
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• pp.469-474
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• 1997

To provide tile information ell severe accident progression is very important for advanced or new type of nuclear power plant (NPP) design. A parametric study, therefore was performed to investigate the effect of thermal hydraulic design parameters ell severe accident progression of pressurized water reactors (PWRs), Nine parameters, which are considered important in NPP design or severe accident progression, were selected among the various thermal hydraulic design parameters. The backpropagation neural network (BPN) was used to determine parameters, which might more strongly affect the severe accident progression, among mile parameters. For training. different input patterns were generated by the latin hypercube sampling (LHS) technique and then different target patterns that contain core uncovery time and vessel failure time were obtained for Young Gwang Nuclear (YGN) Units 3&4 using modular accident analysis program (MAAP) 3.0B code. Three different severe accident scenarios, such as two loss of coolant accidents (LOCAs) and station blackout(SBO), were considered in this analysis. Results indicated that design parameters related to refueling water storage tank (RWST), accumulator and steam generator (S/G) have more dominant effects on the progression of severe accidents investigated, compared to tile other six parameters.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 심포지엄 논문집 정보 및 제어부문
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• pp.231-232
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• 2007

In this paper, a fault diagnosis and control integrated system (FDCIS) was developed to control the thermoelectric (TE) power in the SP-100 space reactor. The objectives of the proposed model predictive control were to minimize both the difference between the predicted TE power and the desired power, and the variation of control drum angle that adjusts the control reactivity. Also, the objectives were subject to maximum and minimum control drum angle and maximum drum angle variation speed. A genetic algorithm was used to optimize the model predictive controller. The model predictive controller was integrated with a fault detection and diagnostics algorithm so that the controller can work properly even under input and output measurement faults. With the presence of faults, the control law was reconfigured using online estimates of the measurements. Simulation results of the proposed controller showed that the TE generator power level controlled by the proposed controller could track the target power level effectively even under measurement faults, satisfying all control constraints.

• 한국정보처리학회논문지
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• 제2권3호
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• pp.425-432
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• 1995

본 논문에서는 VLSI 회로망의 데스트 패턴 생성에 적합한 범용 자동 데스트 패턴 생성기(UATPG)의 설계 및 구현 기법을 기술하고자 한다. UATPG는 기존 ATPG의 용량을 확장하고 CAD 사용자에게 편리한 설계 환경을 제공하는데 초점을 맞추어 구현되었다. 테스트 패턴 생성시에 함수적 게이트의 신호선 논리값확인 및 고장효과전달을 효과적 으로 수행하기 위하여 경험적인 기법을 고안하여 적용하였다. 또한, 테스트 용이화 설계(design for testability)에 사용되는 기억소자(flip-flop)가 의사 입출력으로 이 용되어 VLSI 회로망의 시험성을 한층 높여 주었다. 그 결과, UATPG는 사용의 용이성과 성능면에서 좋은 성과를 보여주었다.

• 산업경영시스템학회지
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• 제43권2호
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• pp.33-38
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• 2020

Anomaly detection of Machine Learning such as PCA anomaly detection and CNN image classification has been focused on cross-sectional data. In this paper, two approaches has been suggested to apply ML techniques for identifying the failure time of big time series data. PCA anomaly detection to identify time rows as normal or abnormal was suggested by converting subjects identification problem to time domain. CNN image classification was suggested to identify the failure time by re-structuring of time series data, which computed the correlation matrix of one minute data and converted to tiff image format. Also, LASSO, one of feature selection methods, was applied to select the most affecting variables which could identify the failure status. For the empirical study, time series data was collected in seconds from a power generator of 214 components for 25 minutes including 20 minutes before the failure time. The failure time was predicted and detected 9 minutes 17 seconds before the failure time by PCA anomaly detection, but was not detected by the combination of LASSO and PCA because the target variable was binary variable which was assigned on the base of the failure time. CNN image classification with the train data of 10 normal status image and 5 failure status images detected just one minute before.

• 대한전자공학회논문지SD
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• 제41권8호
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• pp.85-92
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• 2004

본 논문에서는 IEEE 1149.1 표준인 JTAG 기반 테스트 성능향상을 위한 Preceding instruction decoding module(PIDM)을 제안하였다. PIDM은 test access port(TAP) 명령어 디코딩과정을 TAP 제어회로(TAP-controller) 이전에 수행하여 클럭회수를 최소화하였으며 테스트 타겟 안에서 test mode select(TMS) 같은 신호를 생성할 수 있게끔 설계되었다. CORDIC 프로세서의 테스트 시뮬레이션 결과 PIDM은 non-PIDM에 비해 15% 정도의 성능향상을 나타내었으며 TAP 제어회로의 게이트 수는 기존에 비해 48% 이상 감소하였다.

• 한국군사과학기술학회지
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• 제17권2호
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• pp.159-166
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• 2014

The study is conducted on the subject of optimization of components sizing for series hybrid electric propulsion systems. The components sizing of series type hybrid system is very important because each component of series type is larger than the corresponding component of the parallel type or series-parallel type. If the components sizing is greater or less than what is required to this system, the performance of the system is getting worse. The methodology for the sizing of a driving motor is introduced based on the foundation of determined system configuration and performance target. And the sizing of an engine/generator and a battery is achieved based on simulation results using Dynamic Programming. It is possible to find the optimal sizing of these components by comparing fuel efficiency of hybrid electric propulsion system for 8 driving cycles.

• Nuclear Engineering and Technology
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• 제39권1호
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• pp.63-74
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• 2007

In this paper, a reconfigurable controller consisting of a normal controller and a standby controller is designed to control the thermoelectric (TE) power in the SP-100 space reactor. The normal controller uses a model predictive control (MPC) method where the future TE power is predicted by using support vector regression. A genetic algorithm that can effectively accomplish multiple objectives is used to optimize the normal controller. The performance of the normal controller depends on the capability of predicting the future TE power. Therefore, if the prediction performance is degraded, the proportional-integral (PI) controller of the standby controller begins to work instead of the normal controller. Performance deterioration is detected by a sequential probability ratio test (SPRT). A lumped parameter simulation model of the SP-100 nuclear space reactor is used to verify the proposed reconfigurable controller. The results of numerical simulations to assess the performance of the proposed controller show that the TE generator power level controlled by the proposed reconfigurable controller could track the target power level effectively, satisfying all control constraints. Furthermore, the normal controller is automatically switched to the standby controller when the performance of the normal controller degrades.