• Journal of the Korean Society for Precision Engineering
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• v.24 no.11
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• pp.15-21
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• 2007

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38A no.12
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• pp.1030-1038
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• 2013

The proposed Alamouti coded OFDM effectively cancels Inter Carrier Interference (ICI) due to frequency offset between distributed antennas. The conventional Alamouti coded OFDM schemes to mitigate ICI utilize N-point Inverse Fast Fourier Transform/Fast Fourier Transform (IFFT/FFT) operations for OFDM modulation and demodulation processes with total N subcarriers. However, the performance degrades because ICI is also repeated in N periods due to the property of N-point IFFT/FFT operation. In order to avoid this problem, null data are used at the subcarriers with large ICI and thus, data rate decreases. The proposed scheme employs 2N-point IFFT/FFT instead of N-point IFFT/FFT in order to increase sampling rate. By increasing sampling rate, the amount of interference significantly decreases because the period of ICI also increases. The proposed scheme increases the data rate and improves the performance by reducing amount of ICI and the number of null-data. Furthermore, the gain of the performance and data rate of the proposed scheme is significant with higher modulation such as 16-Quadarature Amplitude Modulation (QAM) or 64-QAM.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.171-172
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• 2015

PMU (Phasor Measurement Unit)는 전력시스템의 노드에서 실시간으로 시간 동기화된 페이저 정보를 측정하여 전력계통 모니터링을 가능하게 하는 장치이다. 이 때, PMU가 모니터링 장치로서 활용되기 위해서는 고신뢰도의 페이저 정보 측정이 요구된다. 기본적인 페이저 추정기법은 푸리에 변환을 이용하여 정현파 신호의 기본주파수 성분을 분석하는 것으로 본 논문에서는 푸리에 변환 기반 페이저 추정기법과 웨이브렛 기반 페이저 추정기법의 성능을 분석하여 웨이브렛 기반 페이저 추정기법의 타당성을 검토하고자 하였다. 페이저 추정기법의 평가에는 IEEE 표준에 따른 TVE (Total Vector Error) 개념을 사용하며 정현파 신호의 진폭변화와 위상변화 및 잡음발생 환경의 진폭변화에 대하여 페이저 추정 기법들의 성능평가로 신뢰성을 확인하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10d
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• pp.514-516
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• 2002

본 논문은 차량 번호판의 숫자인식 방법으로 위상한정상관을 이용하는 방법을 제안한다. 본 논문에서 이용하는 위상한정상관법은 푸리에변환을 이용한 상관함수의 계산과정에서 진폭을 고정치로 하여 위상정보의 값만으로 패턴 인식을 가능하게 한다. 제안하는 방법은 기존의 위상한정상관에서 진폭을 최적치 2.2로 하여 잡음화상의 식별을 더욱 명확히 하였다. 실험을 통하여 10개의 서로 다른 숫자화상을 비교하여 다른 숫자를 구분하고 잡음이 첨가된 숫자화상을 비교하여 동일 숫자임을 확인함으로써 패턴매칭에 효과적임을 보인다. 또한 화상을 이치화하는 전처리 과정을 거치지 않고도 다른 숫자화상에 대해 98%의 식별성능을 나타내므로 농담화상에 대한 성능도 우수하고 잡음에도 강함을 보여 준다.

• Journal of the Korean earth science society
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• v.37 no.2
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• pp.107-116
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• 2016

Stability of the barotropic Rossby-Haurwitz wave is investigated using the numerical models on the global domain. The Rossby-Haurwitz wave under investigation is composed of the basic zonal flow of super-rotation and a finite amplitude spherical harmonic wave. The Rossby-Haurwitz wave is given as either steady or unsteady wave by adjusting the strength of the super-rotating zonal flow. Stability as well as the growth rate of the wave in the numerical simulation is determined by comparing the perturbation amplitude at two different time stages. Unstable modes of the Rossby-Haurwitz wave exhibited a horizontal structure composing of various zonal-wavenumber components. The vorticity perturbation for some modes showed a discontinuity around the area of weak flow, which was found robust regardless of the horizontal resolution of the model. Fourier finite element model was shown to generate the unstable mode in earlier stage of the time integration due to less accuracy compared to the spherical harmonic spectral model. Taking the overall accuracy of the models into consideration, the time by which the unstable mode begin to dominate over the spherical harmonic wave was estimated.

• Proceedings of the KOSOMBE Conference
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• v.1992 no.05
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• pp.181-183
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• 1992

90일간에 걸쳐 수집된 후천성 맹인의 체온데이타를 분석하였다. 이 데이타는 1일 주기 리듬을 갖고 있음을 잘 보여주었으며, 데이타 분석 방법으로는 시계열분석을 이용, 잡음을 제거하고 푸리에분석방법에 의하여 추정데이타를 만든후, 원 데이타와의 오차 자승항이 최소가 되는 주기를 찾는 방법을 사용하였다. 전체 데이타를 1일, 3일, 5일씩의 길이로 잘라서 분석을 하였으며 90여일에 걸친 분석 결과들을 모아 추정파형의 진폭과 서카디안 페이즈를 그래프로 도시하였다. 고찰결과, 1. 이 맹인의 체온데이타는 24, 25시간의 일정한 주기를 갖고있다. 2. 이 데이타는 24시간의 주기와 24, 25시간의 주기로 분리할 수 있다. 3. 따라서 1일 주기리듬의 체온데이타는 근소한 차이의 두 가지 성분이 존재함을 알 수 있다.라는 결론을 내릴 수 있었다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.3 s.303
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• pp.121-128
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• 2005

On the research field for speech signal, neural network mainly uses for the category classification in speech recognition and applies to signal processing. Accordingly, this paper proposes a noise reduction system using a time-delay neural network, which implements the mapping from the space of speech signal degraded by noise to the space of clean speech signal. It is confirmed that this method is effective for speech degraded not only by white noise but also by colored noise using the noise reduction system, which restores the amplitude component of fast Fourier transform.

• Explosives and Blasting
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• v.29 no.2
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• pp.51-58
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• 2011

Frequency is a very important factor in discussing the effect on facilities such as precision instruments and therefore, in evaluating the effect of blasting vibration, it is necessary to identity information on frequency in addition to maximum amplitude of vibration. This study collected rock samples in gneiss area to perform an indoor rock test and to identify frequency of blasting vibration according to priming location, performed of single hole test blasting. Then the study decided dominant frequency through FFT and analysed changes according to priming locations. Consequently frequency range according to priming location is indicated top priming is distributed high range, bottom priming is distributed high range, middle priming is distributed evenly range. Frequency trend according to priming location is indicated distance increase with frequency discrease in top priming, distance increase with frequency increase in bottom priming.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.23 no.1
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• pp.1-8
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• 2010

The Fourier series uses a vibrating wave that possesses an amplitude that is like the one of the sine curve. Therefore, the functions used in the Fourier series do not change due to the value of the frequency and that set a limit to express irregular signals with rapid oscillations or with discontinuities in localized regions. However, the wavelet series analysis(WSA) method supplements these limits of the Fourier series by a linear combination of a suitable number of wavelets. By using the wavelet that is focused on time, it is able to give changes to the range in the cycle. Also, this enables to express a signal more efficiently that has singular configuration and that is flowing. The main objective of this study is to propose a scheme called wavelet series analysis for the application of wavelet theory to one-dimensional problems represented by the second-order elliptic equation and to evaluate theperformance of proposed scheme comparing with the finite element analysis. After a through evaluation of different types of wavelets, the HAT wavelet system is chosen as a wavelet function as well as a scaling function. It can be stated that the WSA method is as efficient as the FEA method in the case of axial bars with distributed loads, but the WSA method is more accurate than the FEA method at the singular points and its computation time is less.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.184-189
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• 2008

In this paper, the sound data either from the sampled or streamed source are utilized for generating a map in the video game play for the dynamiccal use of sound data and synesthesia to users. When users can generate sound in real-time or put the sampled source, it is analyzed and re-processed through Fourier transformation to show the 3D map in dynamic shape over time. We interpolate the generated data to enable the game agents and objects to move.