• 융합신호처리학회논문지
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• 제2권1호
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• pp.101-107
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• 2001

본 연구는 유연한 빔의 위치를 제어하기 위한 강인한 제어기 설계를 위한 하나의 방법으로서 혼합 $H_2/H_{\infty}$과 $\mu$이론을 이용한 하나의 방법을 제시하고 있다. 먼저 제어기의 설계를 위한 유연한 빔의 수식모델을 얻기 위해 해석적인 방법과 실험을 통한 방법을 적용하였다. 이 결과로서 강인한 제어기의 설계를 위해 필요한 불확실성의 영역에 대한 정확한 정보를 얻을 수 있다. 다음, 혼합 $H_2/H_{\infty}$ 이론을 상기모델에 적용하여 강인한 제어기를 설계하고, 여기에 $\mu$이론을 적용하여 일반적으로 혼합 $H_{\infty}$ 제어기가 가질 수 있는 보수성을 완화시킨다 마지막으로 Simulation과 실험을 통하여 설계된 제어기의 유효성을 보인다.

• 한국정보통신학회논문지
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• 제19권1호
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• pp.237-243
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• 2015

최근, 영상처리는 디지털 시대의 급속 발전과 함께 연구가 활발히 진행되고 있다. 그러나 영상 데이터를 처리, 전송, 저장하는 과정에서 여러 외부 원인에 의해 영상의 열화가 발생되며, 영상 열화의 주된 원인은 잡음에 의한 것으로 알려져 있다. 잡음을 제거하는 대표적인 방법은 CWMF(center weighted median filter), A-TMF(alpha-trimmed mean filter), AWMF(adaptive weighted median filter) 등이 있으며, 이러한 방법들은 복합잡음 환경에서의 잡음제거 특성이 다소 미흡하다. 따라서 본 논문에서는 복합잡음을 제거하기 위하여 잡음 판단을 거친 후, 마스크의 메디안 값 및 공간 가중치를 적용하여 처리하는 영상복원 필터 알고리즘을 제안하였다. 그리고 객관적 판단을 위해 기존의 방법들과 비교하였으며, 판단의 기준으로 PSNR(peak signal to noise ratio)을 사용하였다.

• 한국정보통신학회논문지
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• 제23권3호
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• pp.254-260
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• 2019

최근 다양한 분야에서 영상매체의 사용 빈도가 증가함에 따라 신호처리의 중요성이 높아지고 있다. 하지만 송수신 과정에서 많은 종류의 잡음이 발생하며 신호의 정보에 영향을 미치고 있으며, 이러한 이유로 잡음 제거를 전처리 과정으로서 필수적으로 행한다. 본 논문에서는 임펄스 잡음과 AWGN이 혼합된 잡음을 제거하기 위한 알고리즘을 제안하였다. 제안한 알고리즘은 복합 잡음 환경에서 효율적인 잡음 제거를 위해 잡음 판단을 통해 영상 복원을 진행하며, 공간적 특성과 화소 변화를 고려하여 잡음을 제거한다. 시뮬레이션 결과 제안한 알고리즘은 기존 방법과 달리 두 잡음의 영향을 모두 최소화하여 잡음을 제거하여 우수한 잡음제거 특성을 나타내었으며, 객관적인 판단을 위해 PSNR 및 프로파일 등을 이용하여 비교 및 분석하였다.

• 복식
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• 제66권1호
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• pp.13-27
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• 2016

There are differences in preference according to the brand signal explicitness when selecting fashion luxury brand, and the purpose of this study is to verify the moderating effects of self-construal and implicit theory in relation to those preferences. This study divided the experiment design into two $2{\times}2$ mixed design studies: Study 1 and Study 2. The study 1 was composed of the following factors: brand signal explicitness(subtle vs. explicit signal) and self-construal(independent vs. interdependent self-construal). Study 2 was composed of the following factors: brand signal explicitness( subtle vs. explicit signal) and Implicit theory(entity vs. incremental theorist). Convenience sampling was conducted to find the subjects of study 1 and study 2. Study 1 analyzed data from 172 women in Seoul, Gyeonggi-do and Busan who prefer luxury brand, and study 2 used data from 138 women. The results of this study are as follows. 1) Independent self-construal primed group was shown to prefer subtle signal product to explicit signal product, whereas interdependent self-construal priming group preferred explicit signal product to subtle signal product. 2) The entity theorist to prefer explicit signal product to subtle signal product. On the other hand, the incremental theorist did not show significant difference in the preference between subtle and explicit signal products. Therefore, the results of the present study shown the importance of understanding consumers through the difference depending on consumer inclination and psychology, recommending preferred luxury brand according to the inclination of the target customers, and establishing segmented marketing strategy to captivate consumers with these various characteristics.

• 한국음향학회지
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• 제42권6호
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• pp.500-510
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• 2023

수동소나 신호에는 정상신호와 비정상 신호가 같이 존재하는 경우가 대부분이다. 정상신호와 혼재된 비정상 신호는 주로 정상신호만을 학습하는 오토인코더를 이용하여 탐지된다. 하지만 기존의 오토인코더는 혼재된 신호로부터 왜곡된 정상신호를 복원하므로 부정확한 탐지를 수행할 수 있다. 이러한 한계를 개선하고자, 본 논문에서는 순환신경망과 벡터 양자화 기반의 비정상 신호 탐지 모델을 제안한다. 제안된 모델은 학습된 잠재벡터들을 대표하는 코드 북을 생성하고, 제안된 코드벡터의 탐색을 통해 보다 정확하게 비정상 신호를 탐지한다. 공개된 수중 음향 데이터를 이용한 실험에서 제안된 기법이 적용된 오토인코더와 변이형 오토인코더는 기존 모델에 비해 최소 2.4 % 향상된 탐지 성능과 최소 9.2 % 높은 비정상 신호 추출 성능을 보였다.

• 대한전기학회논문지:시스템및제어부문D
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• 제53권4호
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• pp.293-299
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• 2004

This paper is about the extraction of basis function for ECG signal processing. In the first step, it is assumed that ECG signal consists of linearly mixed independent source signals. 12 channel ECG signals, which were sampled at 600sps, were used and the basis function, which can separate and detect source signals - QRS complex, P and T waves, - was found by applying the fast fixed point algorithm, which is one of learning algorithms in independent component analysis(ICA). The possibilities of significant point detection and classification of normal and abnormal ECG, using the basis function, were suggested. Finally, the proposed method showed that it could overcome the difficulty in separating specific frequency in ECG signal processing by wavelet transform. And, it was found that independent component analysis(ICA) could be applied to ECG signal processing for detection of significant points and classification of abnormal beats.

• 비파괴검사학회지
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• 제26권3호
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• pp.174-180
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• 2006

Steam generator (SG) tubes are expanded inside tubesheet holes by using explosive or hydraulic methods to be fixed in a tubesheet. In the tube expansion process, it is important to minimize the crevice gap between expanded tube and tube sheet. In this paper, absolute and differential signals are computed by a numerical method for several different locations of tube expansion inside and outside a tubesheet and signal variations due to tubesheet, tube expansion and operating frequencies are observed. Results show that low frequency is good for detecting tubesheet location in both types of signals and high frequency is suitable for sizing of tube diameter as well as the detection of transition region. Also learned is that the absolute signal is good for measuring tube diameter, while the differential signal is good for locating the top of tubesheet and both ends of the transition region. In the case of mingled anomaly with tube expansion and tubesheet, low frequency inspection is found to be useful to analyze the mixed signal.

• 센서학회지
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• 제20권6호
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• pp.412-419
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• 2011

In this paper, we used the inter-bit noise detection method in order to reduce the effects of noise light in a visible light identification system that uses a visible LED as a carrier source. A visible light identification system consists of a reader and a transponder. When the enable signal from the reader is detected, the transponder encodes the response data in RZ(Return-to-Zero) bit stream and sends response signal by modulating a visible LED. The reader detects the response signal mixed with noise light, samples the noise voltage in each blank low time between data bits of the RZ signal, and recovers the original data by subtracting the sampled noise from the received signal. In experiments, we improved the signal-to-noise ratio by 20dB using the inter-bit noise detection method.

• Journal of Electrical Engineering and Technology
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• 제9권2호
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• pp.695-706
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• 2014

Partial discharge (PD) measurements have emerged as a dominant investigative tool for condition monitoring of insulation in high voltage equipment. But the major problem behind them the PD signal is severely polluted by several noises like White noise, Random noise, Discrete Spectral Interferences (DSI) and the challenge lies with removing these noise from the onsite PD data effectively which leads to preserving the signal for feature extraction. Accordingly the paper is mainly classified into two parts. In first part the PD signal is artificially simulated and mixed with white noise. In second part the PD is measured then it is subjected to the proposed denoising techniques namely Translation Invariant Wavelet Transform (TIWT). The proposed TIWT method remains the edge of the original signal efficiently. Additionally TIWT based denoising is used to suppress Pseudo Gibbs phenomenon. In this paper an attempt has been made to review the methodology of denoising the PD signals and shows that the proposed denoising method results are better when compared to other wavelet-based approaches like Fast Fourier Transform (FFT), Discrete Wavelet Transform (DWT), by evaluating five different parameters like, Signal to noise ratio, Cross-correlation coefficient, Pulse amplitude distortion, Mean square error, Reduction in noise level.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1999년도 제14차 학술회의논문집
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• pp.129-132
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• 1999

This paper deals with the optimal filtering problem constrained to input noise signal corrupting the measurement output for linear discrete-time systems. The transfer matrix H$_2$and/or H$_{\infty}$ norms are used as criteria in an estimation error sense. In this paper, the mixed $H_2/H_{\infty}$ filtering Problem in lineal discrete-time systems is solved using the LMI approach, yielding a compromise between the H$_2$and H$_{\infty}$ filter designs. This filter design problems we formulated in a convex optimization framework using linear matrix inequalities. A numerical example is presented.