• Structural Engineering and Mechanics
• /
• 제68권1호
• /
• pp.39-51
• /
• 2018

In this study, a frequency domain model updating method is presented using power spectral density (PSD) data. It uses the sensitivity of PSD function with respect to the unknown structural parameters through a decomposed form of transfer function. The stiffness parameters are captured with high accuracy through solving the sensitivity equations utilizing the least square approach. Using numerically noise polluted data, the model updating results of a truss model prove robustness of the method against measurement and mass modelling errors. Results prove the capabilities of the method for parameter estimation using highly noise polluted data of low ranges of excitation frequency.

• 한국통신학회논문지
• /
• 제31권6C호
• /
• pp.569-574
• /
• 2006

PPM(Pulse Position Modulation)을 기반으로 하는 초광대역(ultra-wide bandwidth) 무선전송 시스템의 일반적인 전력 밀도 함수(power spectral density function)를 유도한다. 또한 개선된 선 스펙트럼(line spectrum) 특성과 우수한 BER(Bit Error Rate) 성능을 갖는 초광대역 무선전송 시스템을 제안한다.

• The Journal of Advanced Prosthodontics
• /
• 제8권3호
• /
• pp.187-193
• /
• 2016

PURPOSE. This pilot study was to find the influence of complete denture on the brain activity and cognitive function of edentulous patients measured through Electroencephalogram (EEG) signals. MATERIALS AND METHODS. The study recruited 20 patients aged from 50 to 60 years requiring complete dentures with inclusion and exclusion criteria. The brain function and cognitive function were analyzed with a mental state questionnaire and a 15-minute analysis of power spectral density of EEG alpha waves. The analysis included edentulous phase and post denture insertion adaptive phase, each done before and after chewing. The results obtained were statistically evaluated. RESULTS. Power Spectral Density (PSD) values increased from edentulous phase to post denture insertion adaption phase. The data were grouped as edentulous phase before chewing (EEG p1-0.0064), edentulous phase after chewing (EEG p2-0.0073), post denture insertion adaptive phase before chewing (EEG p3-0.0077), and post denture insertion adaptive phase after chewing (EEG p4-0.0096). The acquired values were statistically analyzed using paired t-test, which showed statistically significant results (P<.05). CONCLUSION. This pilot study showed functional improvement in brain function of edentulous patients with complete dentures rehabilitation.

• 대한전자공학회논문지TC
• /
• 제38권10호
• /
• pp.34-40
• /
• 2001

초광대역 통신은 전 주파수 대역에 걸쳐 스펙트럼이 존재하는 광대역 신호를 이용하는 방식이다. 이 신호의 스펙트럼은 마치 기저 대역 잡음과 유사한 형태로 존재하고 그 전력 또한 매우 낮게 구성할 수 있으므로, 타 통신 시스템에 간섭을 주지 않고 통신을 가능하게 한다. 따라서 본 논문에서는 평균값이 0이고 대칭성을 갖는 레일리 모노펄스 Antipodal 방식을 처음으로 적용하였다. 확률 과정에 의한 전력 스펙트럼을 분석한 결과, 기존의 펄스 위치 변조에서 발생되는 불연속 스펙트럼을 완전히 제거하여 스펙트럼의 억압도를 높이고, 오류 확률 및 전송 속도 면에서도 유리함을 보였다.

• 한국전산유체공학회:학술대회논문집
• /
• 한국전산유체공학회 2006년도 추계 학술대회논문집
• /
• pp.181-184
• /
• 2006

High-speed flight vehicle have various cavities. The supersonic cavity flow is complicated due to vortices, flow separation and reattachment, shock and expansion waves. The general cavity flow phenomena include the formation and dissipation of vortices, which induce oscillation and noise. The oscillation and noise greatly affect flow control, chemical reaction, and heat transfer processes. The supersonic cavity' flow with high Reynolds number is characterized by the pressure oscillation due to turbulent shear layer, cavity geometry, and resonance phenomenon based on external flow conditions, The resonance phenomena can damage the structures around the cavity and negatively affect aerodynamic performance and stability. In the present study, we performed numerical analysis of cavities by applying the unsteady, compressible three dimensional Reynolds-Averaged Navier-Stokes(RANS) equations with the ${\kappa}-{\omega}$ turbulence model. The cavity model used for numerical calculation had a depth(D) of 15mm cavity aspect ratio(L/D) of 3, width to spanwise ratio(W/D) of 1.0 to 5.0. Based on the PSD(Power Spectral Density) and CSD(Cross Spectral Density) analysis of the pressure variation, the dominant frequency was analyized and compared with the results of Rossiter's Eq.

• 한국전산유체공학회지
• /
• 제11권4호
• /
• pp.62-66
• /
• 2006

High-speed flight vehicle have various cavities. The supersonic cavity flow is complicated due to vortices, flow separation, reattachment, shock waves and expansion waves. The general cavity flow phenomena includes the formation and dissipation of vortices, which induce oscillation and noise. The oscillation and noise greatly affect flow control, chemical reaction, and heat transfer processes. The supersonic cavity flow with high Reynolds number is characterized by the pressure oscillation due to turbulent shear layer, cavity geometry, and resonance phenomenon based on external flow conditions. The resonance phenomena can damage the structures around the cavity and negatively affect aerodynamic performance and stability. In the present study, we performed numerical analysis of cavities by applying the unsteady, compressible three dimensional Reynolds-Averaged Navier-Stokes(RANS) equations with the ${\kappa}-{\omega}$ turbulence model. The cavity model used for numerical calculation had a depth(D) of 15mm cavity aspect ratio (L/D) of 3, width to spanwise ratio(W/D) of 1.0 to 5.0. Based on the PSD(Power Spectral Density) and CSD(Cross Spectral Density) analysis of the pressure variation, the dominant frequency was analyzed and compared with the results of Rossiter's Eq.

• Journal of Communications and Networks
• /
• 제16권6호
• /
• pp.600-612
• /
• 2014

In this paper, we consider the problem of spectrum sensing for advanced television systems committee (ATSC) digital television (DTV) signal detection. To exploit the cyclostationarity of the ATSC DTV signals, we employ spectral correlation density (SCD) as the decision statistic and propose an optimal detection algorithm. The major difficulty is in obtaining the probability distribution functions of the SCD. To overcome the difficulty, we probabilistically model the pilot frequency location and employ Gaussian approximation for the SCD distribution. Then, we obtain a practically implementable detection algorithm that outperforms the industry leading systems by 2-3 dB. We also propose various techniques that greatly reduce the system complexity with performance degradation by only a few tenths of decibels. Finally, we show how robust the system is to the estimation errors of the noise power spectral density level and the probability distribution of the pilot frequency location.

• Wind and Structures
• /
• 제16권6호
• /
• pp.603-616
• /
• 2013

This study is aimed at formulating an empirical equation for the across-wind fluctuating moment and spectral density coefficient, which are needed to estimate the across-wind dynamic responses of tall buildings, as a function of the side ratios of buildings. In order to estimate an empirical formula, wind tunnel tests were conducted on aero-elastic models of the rectangular prisms with various aspect and side ratios in turbulent boundary layer flows. In this paper, criteria for the across-wind fluctuating moment and spectral density are briefly discussed and the results are analyzed mainly as a function of the side ratios of the buildings. Finally, empirical formulas for the across-wind fluctuating moment coefficient and spectral density coefficient according to variation of the aspect ratio are proposed.

• 한국전자통신학회논문지
• /
• 제13권6호
• /
• pp.1191-1198
• /
• 2018

윈드프로파일러 레이더는 고정점에서 대기물리 신호와 바람 벡터의 연직 프로파일을 제공한다. 바람 벡터는 제조사의 자료 처리 프로그램으로 산출되기 때문에 품질 관리에 한계가 있다. 따라서 바람 벡터의 품질을 향상시키기 위해서 원시 스펙트럼 자료의 이해와 활용이 이루어져야 한다. 바람 벡터의 원시 자료는 바이너리 형태로 저장되는 파워 스펙트럼 밀도이다. 본 연구에서는 원시 자료를 실수형 스펙트럼 밀도로 변환하는 알고리즘을 완성하고 스펙트럼 기반 0차와 1차 모멘트를 구현하여 원시 자료의 활용을 평가하였다.

• 대한의용생체공학회:학술대회논문집
• /
• 대한의용생체공학회 1998년도 추계학술대회
• /
• pp.78-79
• /
• 1998

This paper describes a real time algorithm for blood flow estimation of LDF(laser Doppler flowmeter). Many algorithms for blood flow estimation are using power spectral density of Doppler signal by blood flow. In these research, the fast Fourier transformation is used to estimate power spectral density. This is a block processing procedure rather than real time processing. The algorithm in this paper used parametric spectral estimation. This has real time capability by estimation of AR(autoregressive) parameters sample by sample, and has smoothing power spectrum. Also, the frequency resolution is not limited by number of samples used to estimate AR parameter. Another advantage of this algorithm is that AR model enhance SNR.