• 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.

• Proceedings of the KIEE Conference
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• 1997.07c
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• pp.1100-1102
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• 1997

This paper presents a generalized multi-parameter distribution method for the convolution of linear combination of random variables to calculate system load flow in a conventional probabilistic approach and also presents a conceptual possibilistic approach using fuzzy set theory to manage uncertainties. The probability distribution function is transformed into an appropriate possibilistic representation under the compromise between the transformation consistency and the human updating experience. The IEEE 25-bus system is used to demonstrate the capability of the proposed algorithm.

• Proceedings of the KIEE Conference
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• 1997.07c
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• pp.1103-1105
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• 1997

Transient stability analysis is concerned with a power system's response to unwanted disturbance. Recently, direct method which utilize the stable region of stable equilibrium point is used to analyze transient stability This paper focuses on the controlling UEP method using the fractal behaviours. In the controlling UEP method, many algorithms are used to find controlling UEP However, the existence of fractal region gives difficulty in finding the controlling UEP. So, this paper observes the fractal feature arid introduce the fractal index to explain how much the fractal region occupies in the entire space. Using an improved algorithm from the view point of fractal index, we are going to find the controlling UEP.

• Proceedings of the KIEE Conference
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• 1997.07b
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• pp.630-632
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• 1997

A fuzzy controller is based on o fuzzy logic that is so effective to represent uncertain phenomena of real world end mote its approximation. In this paper, A fuzzy controller which equipped with adaptive control algorithm is described. Proposed fuzzy controller applied to a boll on boon system shows a good performance.

• Proceedings of the KIEE Conference
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• 1997.07b
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• pp.705-707
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• 1997

An optimal tuning algorithm of scaling factors is presented in this paper to automatically improve the performance of fuzzy controller. Especially, fuzzy controller has determined an moderate Scaling factor through trial and error. The presented method estimates automatically the optimal values of I/O scaling factors, using modified steepest descent method and this optimal tuning is for nonlinear input/output scaling factors. Simulation results verify the validity of the presented method.

• 연구논문집
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• s.30
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• pp.43-56
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• 2000

N-IR spectroscopy technology is very useful. And, the technology has wide application range. In the range, we know that single beam type silica analyzer has some handicap. So we were studied Splitted beam type silica analyzer. This dissertation have been discuss about system structure, system fundamentals and performance test. At the test, we were study in the spectral interference of NH3. We know that existing system had some problem. It is structural frailties of single beam type. Therefore we were study for Splitted beam type structure. And we obtain a good result. We have $\pm$5% accuracy and 0.5 ppb level measuring range. But, we have a question. It is ppt level measuring technology by the laser beam spectroscopy.

• Proceedings of the Optical Society of Korea Conference
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• 2008.02a
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• pp.197-198
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• 2008

본 논문에서는 Iterative Fourier Transform Algorithm $Method(IFTA)^{(1)}$를 사용하여 Diffractive Optical Element(DOE)를 통과한 빛의 Shape이 Input Beam의 각 조건에 따라 얼마나 원하는 형태에 가까워지는지를 Input 대비 Output의 Efficiency와 Signal to Noise Ratio(SNR) Simulation 을 통해 알아보았다. Input beam의 종류는 Gaussian, Supergaussian, Plane, Spherical, Quadratic wave 으로 하고 각각의 경우에 대해 Beam Diameter, Polarization, Wavelength를 변화시키며 DOE에서의 회절 현상을 simulation하였다. 이때 Polarization은 Linear, Circular, Elliptical 형태로 변화시켰고 Wavelength는 332.8nm에서 832.8nm까지의 범위에 대해 연구하였다. 또한 relative edge가 있을 때와 없을 때를 비교하여 가장 효율이 높은 Input Beam의 형태와 그 parameter에 대해 연구하였다.

• Journal of the military operations research society of Korea
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• v.9 no.2
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• pp.11-22
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• 1983

The aim of this study is to minimize the total distance travelled by the examiners of college entrance examination committee, from their homes to the designated schools, such that the examiners are assigned to each school satisfying certain criteria. A network model is used and the Out-of-Kilter algorithm is applied to solve the examiner-examinee assignment problem. The result is proved to be fairly adequate not only in this problem, but also to the similar situations encountered in, say, school-grouping of junior/senior high schools, and an administration district allocation problem, etc.

• Electronics and Telecommunications Trends
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• v.15 no.5 s.65
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• pp.94-102
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• 2000

시험기간 동안 수집된 고장 데이터를 이용하여 소프트웨어 신뢰도를 예측할 수 있는 모델은 많으나 이 예측 방법은 정확하지 못하며, 특히 초기 시험 단계에서는 더욱 더 부정확하여 예측자들은 이러한 소프트웨어 신뢰도 모델의 적용을 주저한다. 한편 소프트웨어 신뢰도 성장 모델은 유사 프로젝트나 개발 초기에 얻은 정보를 가지고는 신뢰도 예측 데이터로 활용이 불가능하다. 예를 들면 최근의 소프트웨어 시스템들은 항시 유사 프로젝트들로부터 활용이 가능한 일련의 정보와 동일 응용 영역의 초기 또는 최신의 정보들이 변경, 개선되기 때문이다. 본 논문에서는 유사한 프로젝트로부터 얻은 공통의 데이터들을 활용하여 소프트웨어 신뢰도를 예측할 수 있는 방법들을 제안한다. 특히 일반적으로 사용되고 있는 Goel-Okumoto(G-O) 모델이나 고장 검출률을 이용하거나 시험 데이터를 활용하는 방법 등을 이용하여 모델 파라미터를 추정하고 실제 프로젝트 수행중에 얻어진 각종 결과를 토대로 해서 Numerical Algorithm이 아닌 통계적인 관점의 분석 결과와 MLE(Maximum Likelihood Estimation) 추정 방법 등을 동원하여 초기에 우리 프로젝트에 맞는 정확한 소프트웨어 신뢰도 평가 방법을 제안하였다.

• Journal of Institute of Control, Robotics and Systems
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• v.7 no.7
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• pp.582-588
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• 2001

The Multiple Model/Controller IMC(MMC-IMC) is a model-based control method which uses a set of model/controller pairs rather than a single model/controller to handle all possible operating conditions in the IMC control structure. During operation, one model/controller pair that best fit, for current plant situation is chosen by the switching algorithm. The major drawback of the switching controller is the bad transient performance due to the model error and the use fo linear controller for nonlinear plants. In this paper, we propose a method that transient response of the MMC-IMC using two recurrent neural networks. Simulation result shows that the proposed method represents better performance than the usual MMC-IMC`s.