• 한국항행학회논문지
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• 제21권6호
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• pp.651-658
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• 2017

방사선이 존재하는 환경에서 무색, 무미, 무촉의 방사선을 검출하기 위한 계측장비는 매우 중요하며 그동안 방사선 계측장비의 개발에 대한 많은 연구들이 있었다. 특히 방사선을 검출한 이후 측정된 검출신호를 손실 없이 효율적으로 처리하기 위해 검출된 미세전류를 전압형태로 정형하고, 이를 정확하게 판독하는 신호처리 부분은 매우 중요하다. 검출된 방사선 신호파형을 판독할 때, 지금까지는 신호의 전압파형을 짧은 시간 동안 일정한 값으로 유지시켜 파형의 크기를 판독한 후, 그 전기적인 값을 방전하고 다음 파형에 대비하는 피크홀드방식을 사용하였다. 이 연구에서는 방사선 검출기에서 측정된 검출신호 전압파형의 판독을 피크홀드방식이 아닌, 전압신호의 파고 정점에 이르는 시간을 포착하여 그 값을 직접 판독하는 방식을 제안한다. 이 방식에 의하면 전압 파고를 일정한 시간동안 유지하거나, 유지된 전압 파고를 초기상태로 만드는 복잡한 과정을 거치지 않고 검출된 방사선 신호를 정확하게 판독할 수 있다는 장점을 가지며, 실제 시뮬레이션을 통하여 이를 검증하였다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1993년도 정기총회 및 추계학술대회 논문집 학회본부
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• pp.317-319
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• 1993

The function estimation characteristics of neural networks can be used for sensor signal validation of a system. In case of applying the neural networks to signal validation, it is a important problem that the redundant sensor signals used as a input signal of neural networks should be validated. In this paper, we simplify the conventional parity space method in order to input the validated signal to the neural networks and also propose the sensor signal validation method, which estimates the reliable sensor output combining neural networks with the simplified parity space method. The acceptability of the proposed signal validation method is demonstrated by using the simulation data in safety injection accident of nuclear power plants.

• 전자공학회논문지CI
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• 제40권5호
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• pp.289-297
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• 2003

음성인식 시스템과 입술독해 시스템을 결합한 하여 음향학적 잡음에 대하여 안정된 성능을 갖는 바이모달(bimodal) 시스템을 구현한다. 바이모달 시스템의 성능은 두 인식 시스템의 성능뿐만 아니라 입력 신호의 끝점검출 성능에도 크게 영향을 받는다. 본 논문에서는 음성신호와 영상신호에서 끝점을 자각 자동 검출하여 입력 음성신호로부터 음성신호에서 추정한 신호대잡음비(signal-to-noise ratio: SNR)로 두 끝점검출 결과를 선택하는 방법을 제안한다. 즉 낮은 SNR에서는 영상신호로부터 검출된 끝점을 선택하고 높은 SNR에서는 음성신호로부터 검출된 끝점을 선택함으로써 음향학적 잡음에 대하여 견실하게 끝점을 검출한다. 제안한 끝점검출 방법이 적용된 바이모달 시스템이 강한 음향학적 잡음에 대하여 만족스러운 인식성능을 나타냄을 실험견과에서 확인할 수 있다.

• 제어로봇시스템학회논문지
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• 제13권11호
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• pp.1040-1047
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• 2007

This paper presents ripple-free method that can occur in multirate controller design. The conventional multirate input controller has the problem that the ripple occurs in track-following because of chattering phenomenon in control input signal. In order to resolve the problem of rippling, it was proposed to eliminate the ripple phenomenon using feedforward compensator. This paper makes explains problems in conventional ripple-tree multirate controller and introduces a multirate controller design method applying lifting technique based on current estimators in condition space. Using the ripple-tree multirate controller, we show that chattering does not occur in the control input signal through applying the final value theorem from the viewpoint of discrete-time transformation. Also, this study proves that the ripple of the proposed controller decreases with the increase of this sampling frequency and, when sampling frequency is fixed, it decreases with the increase of the control input period.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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• pp.265-267
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• 2004

A blind separation problem in a multiple-input-multiple-output (MIMO) linear time-invariant (LTI) system with finite-alphabet inputs is considered. A discrete-time matrix equation model is used to describe the input-output relation of the system in order to make full use of the advantages of modern digital signal processing techniques. At first, ambiguity problem is investigated. Then, based on the results of the investigation, a new identifiability condition is proposed for the case of an input-data set which is widely used in digital communication. A probability bound such that an arbitrary input matrix satisfies the identifiability condition is derived. Finally, Monte-Carlo simulation is performed to demonstrate the validity of our suggestions.

• 제어로봇시스템학회논문지
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• 제10권11호
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• pp.1095-1099
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• 2004

In this paper, a novel sliding surface is proposed to guarantee that the sliding mode controller for a second order system produces a control signal whose magnitude is always within the bound of input saturation. The proposed sliding surface uses a time-varying function, and its time derivative works to make a control signal within the bounds of input saturation. Simulation results are presented to show the effectiveness of the proposed method.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2000년도 춘계학술대회논문집 - 한국공작기계학회
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• pp.585-590
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• 2000

Recently, It is gradually raised necessity that thickness of thin film is measured accuracy and managed in industrial circles and medical world. Ultrasonic Signal processing method is likely to become a very powerful method for NDE method of detection of microdefects and thickness measurement of thin film below the limit of Ultrasonic distance resolution in the opaque materials, provides useful information that cannot be obtained by a conventional measuring system. In the present research, considering a thin film below the limit of ultrasonic distance resolution sandwiched between three substances as acoustical analysis model, demonstrated the usefulness of ultrasonic Signal processing technique using information of ultrasonic frequency for NDE of measurements of thin film thickness, sound velocity, and step height, regardless of interference phenomenon. Numeral information was deduced and quantified effective information from the image. Also, pattern recognition of a defected input image was performed by neural network algorithm. Input pattern of various numeral was composed combinationally, and then, it was studied by neural network. Furthermore, possibility of pattern recognition was confirmed on artifical defected input data formed by simulation. Finally, application on unknown input pattern was also examined.

• 대한전기학회논문지
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• 제38권7호
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• pp.557-568
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• 1989

Using Power Spectrum Analysis, conditions of parameter convergence for a Model Reference Adaptive Control (MRAC) system are described. The general Persistent Excitation (PE) condition given in time domain can be transformed to the positiveness of auto-correlation matrix which is represented in frequency domain by the spectra of reference input signal. For an MRAC system designed with relative degree one, the existence and the uniqueness of parameter nominal values due to the variation of input spectra can be analyzed by the PE condition in frequency domain. If the input signal has 2n spectra or more, it can be shown that the nominal values exist independent of adaptive gain, input amplitudes, and magnitudes or numbers of their spectra.

• 대한전기학회논문지:전기물성ㆍ응용부문C
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• 제49권9호
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• pp.546-551
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• 2000

A micromechanical switch that can be used as a logic gate is described in this paper. This switch consists of fixed input electrodes an output electrode Vcc/GND electrodes and movable plates suspended by crab-leg flexures. for mechanical switching of an electrical signal a parallel plate actuator which comes in contact with output electrode was used. Provided that movable plates are connected to Vcc and a low input voltage(ground signal) is applied to the fixed input electrodes the movable plates are pulled by an electrostatic force between the fixed input electrodes and the movable plates. the proposed micromechanical switch was fabricated by surface micromachining technology with$2\mum$ -thick poly-Si and the measured threshold voltage for ON/OFF switching was 23.5V.

• Nuclear Engineering and Technology
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• 제32권5호
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• pp.485-494
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• 2000

In this work, a fuzzy neural network is used to estimate the relevant sensor signal using other sensor signals. Noise components in input signals into the fuzzy neural network are removed through the wavelet denoising technique . Principal component analysis (PCA) is used to reduce the dimension of an input space without losing a significant amount of information. A lower dimensional input space will also usually reduce the time necessary to train a fuzzy-neural network. Also, the principal component analysis makes easy the selection of the input signals into the fuzzy neural network. The fuzzy neural network parameters are optimized by two learning methods. A genetic algorithm is used to optimize the antecedent parameters of the fuzzy neural network and a least-squares algorithm is used to solve the consequent parameters. The proposed algorithm was verified through the application to the pressurizer water level and the hot-leg flowrate measurements in pressurized water reactors.