• Title/Summary/Keyword: time domain data

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Numerical Analysis of Aerodynamic Performance for Rotating Blades of Tilt Rotor Aircraft in Cruise Mode (순항중인 틸트로터의 회전하는 블레이드에 대한 공력성능 수치해석)

  • Ahn S. W.;Ko S. H.;Kim B. S.;Choi S. W.
    • 한국전산유체공학회:학술대회논문집
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    • 2005.04a
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    • pp.21-24
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    • 2005
  • Numerical analysis were made for the unsteady flow fields of the rotor system of a Tilt-Rotor aircraft in cruise mode. The Reynolds-averaged thin-layer Wavier-Stokes equations were discretized by Roe's upwind differencing scheme and integrated in time by the LU-SGS algorithm. The computational domain of the rotor system was constructed by seven multi-block Chimera grids. Comparison of pressure coefficient on the surface of the main wing and blades were made for 3cases of advance ratio(0.325, 0.350, 0.375) and thrust and power coefficients for the rotor were compared with experimental data.

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TRANSONIC AEROELASTIC ANALYSIS OF LEARJET AIRCRAFT WING MODEL (리어제트 항공기 날개의 천음속 공탄성해석)

  • Tran, T.T.;Kim, D.H.;Kim, Y.H.
    • 한국전산유체공학회:학술대회논문집
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    • 2011.05a
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    • pp.453-457
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    • 2011
  • In this study, transonic aeroelastic response analyses haw been conducted for the business jet aircraft configuration considering shockwave and flow separation effects. The developed fluid-structure coupled analysis system is applied for aeroelastic computations combining computational structural dynamics(CSD), finite element method(FEM) and computational fluid dynamics(CFD) in the time domain. It can give very accurate and useful engineering data on the structural dynamic design of advanced flight vehicles. For the nonlinear unsteady aerodynamics in high transonic flow region, Navier-Stokes equations using the structured grid system have been applied to wing-body configurations. In transonic flight region, the characteristics of static and dynamic aeroelastic responses have been investigated for a typical wing-body configuration model. Also, it is typically shown that the current computation approach can yield realistic and practical results for aircraft design and test engineers.

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Unsteady Aerodynamic Analysis of Helicopter Rotor Blades Using Diagonal Implicit Harmonic Balance Method (대각 내재적 조화균형법을 이용한 헬리콥터 로터 블레이드의 비정상 공력 해석)

  • Im, D.K.;Choi, S.I.;Park, S.H.;Kwon, J.H.
    • 한국전산유체공학회:학술대회논문집
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    • 2011.05a
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    • pp.543-549
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    • 2011
  • In this paper, diagonal implicit harmonic balance method is applied to analyze helicopter rotor blade flow. Periodic boundary condition for Fourier coefficients is also applied in hover and forward flight condition. It is available enough to simulate the forward flight problem with only one rotor blade using the periodic boundary condition in frequency domain. In order to demonstrate present method Carodonna & Tung's rotor blades are used and the results are compared to time-accurate method and experimental data.

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Development of Object Oriented Class Library for Digital Photogrammetry (수치사진측량을 위한 객체지향클래스 라이브러리 개발)

  • Yeu, Bock-Mo;Lee, Seok-Gun;Kim, Eui-Myoung;Kim, Gi-Hong
    • Journal of Korean Society for Geospatial Information Science
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    • v.5 no.2 s.10
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    • pp.87-97
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    • 1997
  • For real-time data Process of digital images, all things that related to problem-domain are understood individual object and then it Is necessary to program using object oriented approach to grasp all problem as a objects operation by means of message transmission among objects. In this study, for digital photogrammetry class is designed using object oriented programming and class hierarchy is established Also, it is very useful to construct to digital photogrammetry system using class library when it is applied to close range photogrammetry.

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Noise Suppression of NMR Spectrum by Shifted Harr Wavelet Transform

  • Hoshik Won;Kim, Daesung
    • Journal of the Korean Magnetic Resonance Society
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    • v.5 no.2
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    • pp.66-72
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    • 2001
  • The noise suppression of time domain NMR data by discrete wavelet transform with high order Daubechies wavelet coefficients exhibits severe peak distortion and incomplete noise suppression near real signal. However, the fact that even a shift averaged Harr wavelet transform with a set of Daubechies wavelet coefficients (1/2, -l/2) can be used as a new and excellent tool to distinguish real peaks from the noise contaminated NMR signal is introduced. New algorithms of shift averaged Harr wavelet were developed and quantitatively evaluated in terms of threshold and signal to noise ratio (SNR).

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Development of a Nonlinear Ekman Pumping Model (비선형 Ekman 펌핑 모델의 개발)

  • Suh Yong-Kweon;Park Jae-Hyun
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.30 no.6 s.249
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    • pp.568-577
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    • 2006
  • Developed in this study is a nonlinear Ekman pumping model to be used in simulating the rotating flows with quasi-three-dimensional Navier-Stokes equations. In this model, the Ekman pumping velocity is given from the solution of the Ekman boundary-layer equations for the region adjacent to the bottom wall of the flow domain; the boundary-layer equations are solved in the momentum-integral form. The developed model is then applied to rotating flows in a rectangular container receiving a time-periodic forcing. By comparing our results with the DNS and experimental data we have validated the developed model. We also compared our results with those given from the classical Ekman pumping model. It was found that our model can predict the rotating flows more precisely than the classical linear model.

The Detection of Partial Discharge Signal by the Measurement of an Electromagnetic Wave and Pattern Recognition Technique (전자파의 측정과 패턴인식 기법에 의한 부분방전 신호 검출)

  • Kim, Yeong-No;Kim, Jae-Cheol;Seo, In-Cheol;Jeon, Yeong-Jae;Kim, Gwang-Hwa
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.51 no.6
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    • pp.276-283
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    • 2002
  • This Paper Presents the method for detecting a partial discharge(PD) using an electromagnetic wave measured by an antenna. The various electromagnetic waves are measured in the laboratory and wavelet transform, which is provides a direct quantitative measure of spectral content in the time-frequency domain, are applied for identifying the property of electromagnetic waves. Also, the statistical method and self-organizing feature map(SOFM) are applied for the pattern recognition of electromagnetic waves. The proposed method is shown to be useful for detecting electromagnetic waves emitted for PD in test data.

Component-based Requirements Analysis for the GPS Applications (GPS 애플리케이션에 대한 컴포넌트 기반의 요구사항 분석)

  • Lee, Sang Young;Lee, Yoon Hyeon
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.8 no.2
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    • pp.177-188
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    • 2012
  • GIS provides the various analyzing and displaying using diverse spatial data have supported the powerful functionality and friendly user-interface. But, early GIS software is developed as package tool, it have many difficulties with reducing the cost of developing GPS application and satisfying the various user requirements. At present, the developed GPS applications across multiple domains, despite the common features are built separately for each domain in terms of software engineering development followed out waste of time and money expenditure. However, common features between GPS applications, if deployed as a component assembly and reuse components in terms of enabling the two kinds of component-based development can bring out the beneficial results. In this paper, we described the Analysis and design of GPS ApplicationsS based on Component. Each GPS component is composed of many objects accomplish the atomic service processing and cooperate with each other. And, GPS components meets the qualifications of thc low cost of developing GPS application because of the reusability and re-composition.

Acoustic Impulse Method with Neural Network for Detection of Cracks in Eggshell (음향충격법과 인공신경망에 의한 파란 검출)

  • 최완규;조한근;백진하;장영창
    • Journal of Biosystems Engineering
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    • v.23 no.6
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    • pp.621-628
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    • 1998
  • In order to develop an inspection algorithm for an automatic eggshell inspection system, acoustic impulse response with neural network method was studied. An improved error backpropagation algorithm was selected as a loaming rule of neural network, and three layer network was chosen for the neural network architecture. Acoustic signals in time domain and theirs power spectrum were studied as the input to the neural network. The classification feasibility and success rate were investigated in terms of statistical analysis and neural network approach. As a result, the success rate was 95% with the statistical model having five independent variables. Among the neural network models studied, the power spectrum of acoustic signal as the input with 64 input neurons and the two impact data showed the success rate of 95.5% which was slightly higher than of statistical analysis.

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The Classification and Frequency Analysis in Radial Pulse (맥파의 인식상의 분류와 주파수 해석)

  • Kil, S.K.;Han, S.H.;Kwon, O.S.;Park, S.H.;Hong, S.H.
    • Proceedings of the KOSOMBE Conference
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    • v.1998 no.11
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    • pp.263-264
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    • 1998
  • In this paper, we present the result of feature points recognition and classification of radial pulse by the shape of pulse wave. And we analyze radial pulse in frequency domain. The recognition algorithm use the method which runs in parallel with both the data of ECG and differential pulse simultaneously to recognize the feature points. Also fie specified 3-time elements of pulse wave as main parameters for diagnosis and measured them by execution of algorithm, then we classify the shape of radial pulse by existence and position of feature points. lastly we execute frequency analysis on the feature points and get the power spectrum of radial pulse.

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