• KIPE Magazine
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• v.12 no.4
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• pp.44-48
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• 2007

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 1991.10a
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• pp.225-227
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• 1991

• Proceedings of the Korean Information Science Society Conference
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• 2000.10b
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• pp.476-478
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• 2000

본 논문에서는 HMM 학습모델을 이용하여 1445단어 음성인식기를 구현하고, 대분류기법을 이용하여 그 성능을 향상시키는 방법에 대하여 연구를 수행하였으며, 속도개선에 중점을 두었다. 속도개선을 위해서 HMM모델에 계층적 대분류 기법을 적용시켰다. HMM의 상태수가 많을수록 속도가 저하된다는 점을 고려하여, 적은 상태수의 HMM모델로 후보를 정하고, 가변적으로 해당하는 상태수의 HMM모델로 목적단어를 인식하는 방법을 제안하였다. 후보를 정하는 방법을 후보수와 특징파라미터의 종류와 수를 고려하여 다양하게 설정, 실험하여 가장 이상적인 경우를 찾아내었다.

• The Transactions of the Korean Institute of Power Electronics
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• v.13 no.2
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• pp.128-134
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• 2008

The variable speed engine generator set is interested for an isolated power system due to reduced fuel consumption and less emission. However, because of sluggish dynamic behavior of the internal combustion engine the power quality would be degraded during the sudden load power surge, where the power required by the load is not available by the engine due to the reduced engine speed. An isolated power system based on variable speed engine with a super-capacitor bank can improve dynamic characteristics under such a sudden load change, and power quality, fuel consumption, and pollutants can be improved remarkably. Also, it is verified by the computer simulation that the inverter of 3phase-4leg is compatible to the isolated power system with unbalanced load. In this paper, the feasibility of the system has been verified based on a 26kw commercial diesel engine system.

• Proceedings of the Optical Society of Korea Conference
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• 2000.02a
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• pp.248-249
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• 2000

파장분할다중 광통신시스템은 파장통과 대역폭이 좁으면서, 파장통과 대역을 넓게 가변시킬 수 있는 집적광학형 광여파기를 필요로 하고 있다. 지금까지 전기광학효과$^{(1)}$ , 스트레인광학효과$^{(2)}$ , 음향광학효과$^{(3)}$ 들을 이용하여 다양한 형태의 광여파기들이 연구되어져왔다. 특히 음향광학효과를 이용한 편광모드변환형 가변파장 광필터 (AOTF: Acousto-Optic Tunable Filter)는 150nm 이상의 넓은 파장가변 범위, 1nm이하의 좁은 파장대역폭, 수 $\mu\textrm{s}$ 정도의 비교적 빠른 스위칭 속도, 그리고 여러 파장 채널을 동시에 선택할 수 있는 특성들 때문에 많은 연구가 진행되어져 왔다. 본 논문에서는 음향파 장벽(acoustic barrier)를 이용하여 표면 음향파(SAW: Surface Acoustic Wave)의 RF 구동파워를 감소시킬 수 있는 구조의 AOTF를 제작하고, 측정 결과를 음향파 장벽을 이용하지 않은 AOTF의 측정 결과와 비교, 검토하였다. (중략)

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.11
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• pp.1053-1060
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• 2016

This paper proposes an adaptive equalizer with the digitally controlled active variable capacitor. An equalizing amplifier consists of a main amplifier and a source degeneration RC filter which is implemented using the digitally controlled active variable capacitor for area efficiency and linear loss compensation. The active capacitor changes its capacitance by the amplifier gain control, which is based on miller effect. In the simulated results, the proposed equalizer compensates the high frequency loss and extends the data eye width from 0.31 UI to 0.64 UI.

• The Transactions of the Korean Institute of Power Electronics
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• v.6 no.2
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• pp.202-208
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• 2001

A Switched Reluctance Motor(SRM) has double salient poles structure and the phase windings are wound in stator. SRM hase more simple structure that of other motor, thus manufacture cost is low, mechanically strong, reliable to a poor environment such as high temperature, and maintenance cost is low because of brushless. SRM needs position detector to get rotator position information for phase excitation and tachometer or encoder for constant speed operation. But, this paper doesn\`s use an encoder of high cost for velocity measurement of rotator. Instead of it, the algorithm for position detection and velocity estimation from simple slotted disk has been proposed and developed. To implement variable speed digital control system with velocity estimation algorithm, the TMS320F240-20MIPS fixed point arithmetic processor of TI corporation is used. The experimental results of the developing system are enable to control speed with wide range, not only single pulse, hard chopping mode and soft chopping, ut also variable speed control, and advance angle control.

• The Transactions of the Korea Information Processing Society
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• v.4 no.7
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• pp.1759-1769
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• 1997

The Error BackPropagation (EBP) algorithm for multi-layered neural networks is widely used in various areas such as associative memory, speech recognition, pattern recognition and robotics, etc. Nevertheless, many researchers have continuously published papers about improvements over the original EBP algorithm. The main reason for this research activity is that EBP is exceeding slow when the number of neurons and the size of training set is large. In this study, we developed new learning speed acceleration methods using variable learning rate, variable momentum rate and variable slope for the sigmoid function. During the learning process, these parameters should be adjusted continuously according to the total error of network, and it has been shown that these methods significantly reduced learning time over the original EBP. In order to show the efficiency of the proposed methods, first we have used binary data which are made by random number generator and showed the vast improvements in terms of epoch. Also, we have applied our methods to the binary-valued Monk's data, 4, 5, 6, 7-bit parity checker and real-valued Iris data which are famous benchmark training sets for machine learning.

• Journal of Sensor Science and Technology
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• v.8 no.1
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• pp.16-23
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• 1999

When a moving piezoelectric transducer detects an object in water, its receiving sensitivity is attenuated by Doppler effect. In this paper, a method for compensating the effect is suggested by using a newly designed condenser of which capacitance is varied according to the moving speed of the transducer. Using the method, the receiving resonant frequency of the transducer can be changed automatically. As a result, there is good agreement between the results of experiment and those of calculation. It is confirmed that the response sensitivity degradation of transducers due to Doppler effect can be compensated in the range of $1{\sim}10^m/_s$ moving speed.

• Journal of Korea Society of Industrial Information Systems
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• v.4 no.3
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• pp.79-88
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• 1999

One of the most popular algorithm in adaptive signal processing is the least mean square(LMS) algorithm. The majority of these papers examine the LMS algorithm with a constant step size. The choice of the step size reflects a tradeoff between misadjustment and the speed of adaptation. Subsequent works have discussed the issue of optimization of the step size or methods of varying the step size to improve performance. However there is as yet no detailed analysis of a variable step size algorithm that is capable of giving both the speed of adaptation and convergence. In this paper we propose a new variable step size algorithm where the step size adjustment is controlled by square of the prediction error. The simulation results obtained using the new algorithm about noise canceller system and system identification are described. They are compared to the results obtained for other variable step size algorithm. function.