• Transactions of the Korean Society of Mechanical Engineers B
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• v.20 no.4
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• pp.1449-1457
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• 1996

In this paper, the unsteady two dimensional model for the thermal stratification in the pressurizer surge line of PWR plant has been proposed to numerically investigate the heat transfer and flow characteristics. The dimensionless governing equations are solved by using the Control Volume Formulation and SIMPLE (Semi-Implicit Method for Pressure Linked Equations) algorithm. The temperature profile of fluids and pipe wall with time are shown when the thermal stratification occurs in the horizontal pipe. The numerical result shows that the maximum dimensionless temperature difference is about O.514 between hot and cold section of pipe wall at dimensionless time 1,632.

• Proceedings of the KIPE Conference
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• 2010.07a
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• pp.403-404
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• 2010

태양전지는 일사량 및 온도에 의해 출력 특성이 변화하여 최대전력을 얻을 수 있는 위치도 변화한다. 따라서 태양전지의 동작점을 최대 전력점에서 동작하게 하는 최대전력점 추적(MPPT, Maximum Power Point Tracking) 이 필요하다. 본 논문에서는 P&O 방식처럼 자려진동을 하지 않고 최대 동작점에서 머물면서 동작하는 NOC(Non-Oscillation Control) 방법을 제안한다. 이 방식은 빠르게 최대 동작점을 찾을 수 있고 특히 급격한 일사량 변동에 대해 유리한 장점을 갖는다. 최종적으로 제안된 제어기법의 타당성을 검증하기 위하여 3KW급으로 수행된 MPPT 모의 실험을 제시한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2001.05a
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• pp.269-274
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• 2001

This paper is study of buffering system for multimedia server. We propose the scheme that increasing the performance of multimedia sever by using the buffer sharing scheme and slot addressing algorithm to maximize fixed buffer utilization. Also, we calculate reference time about a used block and next stream reuse that stram. As a result, we propose the buffering system satisfy the users request using the extra bandwidth that reducing multimedia server I/O.

• Journal of the Korean Institute of Intelligent Systems
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• v.10 no.4
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• pp.374-378
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• 2000

in information retrieval, lack of positive examples is a main cause of poor performance. In this case most learning algorithms may not characteristics in the data to low recall. To solve the problem of unbalanced data, we propose a boosting method that uses linear perceptrons as weak learnrs. The perceptrons are trained on local data sets. The proposed algorithm is applied to text filtering problem for which only a small portion of positive examples is available. In the experiment on category crude of the Reuters-21578 document set, the boosting method achieved the recall of 80.8%, which is 37.2% improvement over multilayer with comparable precision.

• Journal of Power System Engineering
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• v.9 no.4
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• pp.45-50
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• 2005

Characteristics of flows at T-junction duct with and without orifices are investigated in this paper. Experiments and PIV visualization were carried out for several flow rates. Two-dimensional PIV experimental apparatus was decided by numerical analysis. PIV visualization was also coded to visualize flow fields at junctions for two-dimensional case. For the PIV visualization system, Grey-Level Cross-Correlation particle tracking algorithm was used to calculate the flow fields. Vinyl chloride polymer particles of $100{\sim}150{\mu}m$ of diameter are used in this visualization. The PIV visualization results showed relatively good agreement with Experimental data.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1997.06a
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• pp.19-24
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• 1997

This paper describes an image segmentation technique for the object-oriented coding at very low bit rates. By noting that, in the object-oriented coding technique, each objects are represented by 3 parameters, namely, shape, motion, and color informations, we propose a segmentation technique, in which the 3 parameters are fully exploited. To achieve this goal, starting with the color space conversion and the noise reduction, the input image is divided into many small regions by the K-menas algorithm on the O-K-S color space. Then, each regions are merged, according to the shape and motion information. In simultations, it is shown that the proposed technique segments the input image into relevant objects, according to the shape and motion as well as the colors. In addition, in order to evaluate the performance of the proposed technique, we introduce the notion of the interesting regions, and provide the results of encoding the image with emphasizing the interesting regions.

• Journal of Korean Society for Atmospheric Environment
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• v.12 no.3
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• pp.243-254
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• 1996

The main purpose of this study is to investigate the collection efficiency characteristics of a cylindrical ESP. To do that, it is necessary to analyze the electric field, gas flow field, and mechanism of particle movement by numerical simulation based on EHD model. For a gas flow field, Navier-Stokes equation involving the electric source term was solved by SIMPLE algorithm. In case of the electric field, the current continuity and electric field equations were solved by S.O.R. method. The analysis of particle movement was performed on the basis of PSI-CELL model from the Lagrangian viewpoint. The results showed that the influence on the gas flow field by the electric field is almost negligible in a cylindrical ESP. The particle drift velocity $V_P$ toward the collection surface is increased continuously by the electrostatic force due to the rise of particle charge as the particle is moving to the flow direction and the particle size becomes larger. The collection efficiency is to quitely higher with the increase of applied voltage for the same particle size, while becomes smaller as the inlet velocity is increased.

• Proceedings of the KIEE Conference
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• 1988.07a
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• pp.229-231
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• 1988

In this paper, we design adaptive DPCM by the two dimensional linear prediction using the covariance method and propose adaptive algorithm which determines analysis frame size by the compassion of the local standard deviation and the global standard deviation of images.

• Proceedings of the KIEE Conference
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• 2002.07d
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• pp.2687-2689
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• 2002

본 연구는 환자의 근육 상태를 표면 근전도(EMG, Electrocardiogram)를 통해 정량적으로 평가한 결과를 기반으로 적응 전기치료를 수행 시, 근전도 정량평가에 영향을 주는 심전도 신호를 독립요소 해석(ICA, Independent Component Analysis)을 이용하여 획득된 신호로부터 분리함으로써, 정확한 근전도 정량평가를 할 수 있도록 하는 것을 목적으로 한다. 실험 방법은 소스(source)를 근전도와 심전도 2개로 가정하고, 4 채널을 통하여 획득된 신호를 10 Hz-500 Hz의 대역통과 필터를 이용하여 필터링한 후, 1000 sample/sec로 샘플링하여 센서로 사용하였으며, JADE(Joint Approximate Diagonalization of Eigen-matrices) 알고리즘을 통하여 근전도 신호와 심전도 신호를 분리하였다. 알고리즘의 permutation ambiguity와 scaling ambiguity 특성 문제를 해결하기 위하여, 분리된 신호의 주파수 분석을 통하여 심전도와 근전도 신호로 구분하였으며, 인식된 근전도 신호의 크기를 센서 신호를 기준으로 복원하였다. 결론적으로 아날로그 및 디지털 필터와 달리 근전도의 신호의 왜곡을 극소화하면서도 심전도 신호를 분리해 냄으로써, 근전도를 통한 근육상태의 효과적인 평가가 가능하게 되었다.

• Proceedings of the KIEE Conference
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• 1998.07b
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• pp.585-587
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• 1998

It is suggested that the PWM inverter is controlled by Digital Software Programming. VVVF(Variable Voltage Variable Frequency) inverter control being used by PWM control for driving the motor with speed-varying, makes the PWM pattern with calculating the output voltage and frequency, and with controlling the carrier and signal, so actually this method is difficult to correspond with driving the motor by using voltage-varying and frequency-varying. Therefore this research suggested the new algorithm controlled by micro processor which is already stored by various PWM form of output voltage by using fundamental data of the carrier and signal. The PWM wave can be controlled with real time by using extra hardware and digital software and to speed up program processing, the control signals to switch the power semi-conductor of three phase PWM inverter, simultaneously use the output signal by microprocessor and extra hardware, and control signal by software. In the end, this method was proved by applying to Three Phase Voltage-type Inverter.