• The Journal of the Korea Contents Association
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• v.2 no.4
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• pp.23-29
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• 2002

This paper suggest the image compression that is needed to process PACS in medical information system. The image decoding method is used Linear-predictor and Lloyd-Max quantizer(quantization) in the Wavelet transform domain. Wavelet Transform Method is processed the multi-resolution by dividing image into 10 sub-bands of 3 levels. Low frequency domain that is sensitive to human visual characteristic is encoded by DPCM which is lossless encoding methods, and Lloyed-Max quantizer, the optimal quantizer for reducing ringing and aliasing in the image of inter sub-band, is used in the remaining high frequency domain of sub-band. The examination verifies that decompressed images are superior by the result that PSNR is 28.53dB on the input image, 512$\times$152 abdominal CT image and Chest image.

• Ceramist
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• v.8 no.1
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• pp.50-56
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• 2005

압전재료의 다양한 에너지 변환특성 중 기계-전기 에너지간 변환 특성만을 이용하고자 하는 경우로 한정하고, 압전재료의 물성 및 진동모드, 재료물성 평가 사례들을 요약하여 소개하였다. 그러나 이상에서 설명한 압전특성은 매우 개략적인 개념으로서 우수한 압전 응용부품을 개발하기 위해서는 몇 가지 유의할 사항들이 있다. 압전재료는 보다 기본적으로 열에너지, 기계에너지, 전기에너지, 나아가서 Maxwell 방정식에 의해서 전기장과 연결되는 자기에너지까지도 연결시켜서 상호간에 에너지 변환작용을 일으킬 수 있는 특성을 가진다. 기계적 변형(S) = 탄성변형효과 + 역압전효과 + 열팽창효과 전기적 변위(D) = 압전효과 + 유전효과 + 초전효과 즉, 압전 응용부품이 온도변화 및 자기장이 인가되는 환경에서 순수하게 압전현상만을 이용하고자 한다면, 응용분야 및 주위환경에 따라 압전세라믹 소자가 외부 환경변화에 반응을 하지 않도록 적절한 차단 대책을 수립하여야만 한다. 그러나 압전재료의 외부 자기장의 변화에 대한 반응도는 전기장에 대한 반응도에 비해서 매우 작으므로 통상 무시해도 무방하다고 본다. 그리고 압전재료에서 전기장-기계장의 선형성이 보장되는 크기에는 뚜렷한 한계가 있고, 선형성 영역을 벗어나면 이력특성에 의해 비선형 특성 및 포화상태를 보이게 된다는 점 또한 주의하여야 할 점이다. 또한 압전특성은 Curie 온도이하에서만 존재하고, 그 이상의 온도에서는 쌍극자들의 지나친 운동성에 의해 결정 대칭성이 변하여 압전특성이 소멸되므로 사용 온도 구간에 엄격한 제한을 두어야 함도 응용에 유의하여야 한다.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.38 no.4
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• pp.335-341
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• 2010

To improve the performance of inner loop based on PD controller for a unmanned helicopter, neural networks are applied. The performance of PD controller designed on the response characteristics of error dynamics decreases because of uncertain nonlinearities of the system. The nonlinearities are decoupled to modified dynamic inversion model(MDIM) and are compensated by the neural networks. For the training of the neural networks, online weight adaptation laws which are derived from Lyapunov's direct method are used to guarantee the stability of the controller. The results of the improved performance of PD controller by neural networks are illustrated in the simulation of unmanned helicopter with nonlinearities,

• Journal of the Korean earth science society
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• v.26 no.5
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• pp.429-435
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• 2005

3D RMR (Rock Mass Rating) analysis has been performed by applying the Geostatistical integration technique for geophysical and borehole data. Of the various geostatistical techniques for the integrated data analysis, in this study, we applied the SKlvm (Simple Kriging with local varying means) method that substitutes the values of the interpreted geophysical result with the mean values of the RMR at the location to be inferred. The substitution is performed by the indicator transform between the result of geophysical interpretation and the observed RMR values at borehole sites. The used geophysical data are the electrical resistivity and MT result, and 10 borehole sites are investigated to obtain the RMR values. This integrated analysis makes the interpretation to be more practical for identifying the realistic RMR distribution that supports the regional geological situation.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.35S no.9
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• pp.104-110
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• 1998

This paper proposes a architecture of the nonlinear echo canceller for the full-duplex transmission, which is easy to implement. The architecture is designed to cancel the nonlinear echo signals due to the hybrid or the data converter, as well as the linear echo signals, by adding a small number of taps to the FIR structure for the linear echo cancellation. The number of tap to be add depends on how much the linear echo signals are cancelled. A computer program for this architecture was written and run. Numerical results of the computer simulations show good performances on cancellations of the nonlinear echo signals by adding a small number of taps.

• The Journal of the Acoustical Society of Korea
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• v.34 no.1
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• pp.46-51
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• 2015

In fields of controlling acoustical noises, the overall adaptive control system is nonlinear due to the loudspeaker, amplifiers, converters, and microphones, etc. and the performance of noise control is decreased by the extent of nonlinearities, so an adaptive control system compensating nonlinear distortions is needed. In this paper, a new multi-channel adaptive noise controller was proposed, which was combined with the adaptive compensator to effectively linearize nonlinear distortions in the overall adaptive control system. Through computer simulations, the proposed adaptive compensator could linearize the nonlinear distortions and the proposed noise controller had better capability of controlling the noises than the conventional LMS controller.

• The Korean Journal of Applied Statistics
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• v.6 no.1
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• pp.163-172
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• 1993

A computer software for nonlinear regression analysis, NLIN90, was developed to provide easy access and useful information for more precise analysis which can be obtained from the newly developed theory. Together with the elementary statistics, it provides statistics for curvature analysis of model function and of each parameter, for curvaure analysis of transformed parameters, for experimental design analysis, and for residual analysis. Easy access is obtained by utilizing a database of nonlinear models.

• Computational Structural Engineering
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• v.11 no.1
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• pp.96-106
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• 1998

본 연구에서는 복잡한 비선형시스템의 전체적 응답거동의 중요한 (그리고 잠재적으로 유익한) 특성을 상세히 분석하였다. 특히 강성도 및 여기력에 내재된 복잡한 비선형을 소유하는 수중다점계선해양시스템의 분기집합에 내재된 초구조와 혼돈거동의 가능경로에 대하여 해석적 및 수치적으로 분석하였다. 분기는 국부적 안정해석을 통하여 매개변수 영역상에서 확인되었으며, 정상 상태의 분기초구조는 수치해석을 통하여 밝혀졌다. 비선형정도와 해의 차원을 나타내는 공명수를 유도하였으며, 차수공명수를 통해 공명주위의 구조를 밝혔으며 열조화, 울트라조화, 울트라열조화 등과 같은 고도의 비선형 응답의 발생을 예측할 수 있음을 보였다. 결과에서 얻은 초구조는 시스템의 안정성과 이상끌개의 징후를 지배하는 메커니즘임도 밝혔다. 혼돈으로 가는 주기증가의 무한시퀀스에 대한 유연한 변환 외에 돌연한 격발(saddle에 의해 분리된 인접끌개의 충돌)로 인한 혼돈으로의 가능경로도 발견되었으며 이는 수치적으로도 입증되었다.

• The Journal of the Acoustical Society of Korea
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• v.39 no.4
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• pp.246-254
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• 2020

In this paper, we propose a learning based compressive sensing algorithm for the purpose of side scan sonar image denoising. The proposed method is based on Iterative Shrinkage and Thresholding Algorithm (ISTA) framework and incorporates a powerful strategy that reinforces the non-linearity of deep learning network for improved performance. The proposed method consists of three essential modules. The first module consists of a non-linear transform for input and initialization while the second module contains the ISTA block that maps the input features to sparse space and performs inverse transform. The third module is to transform from non-linear feature space to pixel space. Superiority in noise removal and memory efficiency of the proposed method is verified through various experiments.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.3 no.1
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• pp.83-95
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• 1999

Wavelet transform has localization for time or frequency. It is useful to analyze a nonstationary signal. Basic function on wavelet transform is generated dilating and translating the original wavelet(mother wavelet). In this paper, time-frequency analysis method using linear combination wavelet transform is proposed. And it is applied to diagnostic monitoring system using the proposed linear combination wavelet transform. The stationary and nonstationary signal is used linear chirp signal, fan noise signal, a sinusoid signal from revolution body, electronic signal. Transform applied to signal analysis use fast Fourier transform (FFT), Daubechies, Haar and proposed linear combination method. The result of time-frequency analysis using linear combination wavelet transform is suited for portraying nonstationary time signal as well as stationary signal. Also the diagnostic monitoring system carry out the effective the signal analysis.