• 제목/요약/키워드: time domain data

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1차원 합성 개구면을 가진 초광대역 레이더의 시영역 기반 영상화 기법 비교 (Comparison of Time-Domain Imaging Algorithms for Ultra-Wideband Radar with One-Dimensional Synthetic Aperture)

  • 김대만;홍진영;김강욱
    • 한국전자파학회논문지
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    • 제19권10호
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    • pp.1175-1184
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    • 2008
  • 본 논문에서는 Delay-Sum Back Projection(DSBP) 기법과 finite-difference time-domain 방법으로 구현된 time reversal(FDTD-TR) 기법을 실험 데이터에 적용하고, 그 결과를 비교한다 두 기법은 모두 시영역에 기반을 둔 기법으로서 초광대역 레이더 신호를 처리하여 표적의 실제 위치와 모양에 가까운 영상을 생성할 수 있다. 실험을 위한 초광대역 레이더는 네트워크 분석기, 저항성 V 다이폴 안테나, 스캐너, 제어 컴퓨터로 구성되며, 레이더 개구면은 안테나를 1차원 스캔하여 합성된다. 실험 데이터는 신호 왜곡과 클러터를 포함하는데, 이를 제거하는 보정 절차가 수행된다. 두 기법은 동일한 플랫폼에서 동일한 데이터에 적용되며, DSBP 기법은 FDTD-TR 기법에 비해 더 나은 영상을 생성하지만 더 많은 시간이 걸린다는 것을 보인다.

Bootstrap methods for long-memory processes: a review

  • Kim, Young Min;Kim, Yongku
    • Communications for Statistical Applications and Methods
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    • 제24권1호
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    • pp.1-13
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    • 2017
  • This manuscript summarized advances in bootstrap methods for long-range dependent time series data. The stationary linear long-memory process is briefly described, which is a target process for bootstrap methodologies on time-domain and frequency-domain in this review. We illustrate time-domain bootstrap under long-range dependence, moving or non-overlapping block bootstraps, and the autoregressive-sieve bootstrap. In particular, block bootstrap methodologies need an adjustment factor for the distribution estimation of the sample mean in contrast to applications to weak dependent time processes. However, the autoregressive-sieve bootstrap does not need any other modification for application to long-memory. The frequency domain bootstrap for Whittle estimation is provided using parametric spectral density estimates because there is no current nonparametric spectral density estimation method using a kernel function for the linear long-range dependent time process.

DWMT 데이타 전송을 위한 효율적인 시간영역 등화기 설계 (Efficient time domain equalizer design for DWMT data transmission)

  • 홍훈희;박태윤;유승선;곽훈성;최재호
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 1999년도 하계종합학술대회 논문집
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    • pp.69-72
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    • 1999
  • In this paper, an efficient time domain equalization algorithm for discrete wavelet multitone(DWMT) data transmission is developed. In this algorithm, the time domain equalizer(TEQ) consists of two stages, i.e., the channel impulse response shortening equalizer(TEQ-S) in the first stage and the channel frequency flattening equalizer(TEQ-F) in the second stage. TEQ-S reduces the length of transmission channel impulse response to decrease intersymbol interference(ISI) followed by TEQ-F that enhances the channel frequency response characteristics to the level of an ideal channel, hence diminishes the bit error rate. TEQ-S is implemented using the least-squares(LS) method, while TEQ-F is designed by using the least mean-square(LMS) algorithm. Since DWMT system also requires of the frequency domain equalizer in order to further reduce ICI and ISI the hardware complexity is an another concern. However, by adopting an well designed and trained TEQ, the hardware complexity of the whole DWMT system can be greatly reduced.

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구조물의 손상크기에 따른 시간영역에서의 손상검출 (Damage Detection in Time Domain on Structural Damage Size)

  • 권대규;유계형;이성철
    • 한국정밀공학회지
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    • 제23권6호
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    • pp.119-127
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    • 2006
  • A non-destructive time domain approach to examine structural damage using parameterized partial differential equations and Galerkin approximation techniques is presented. The time domain analysis for damage detection is independent of modal parameters and analytical models unlike frequency domain methods which generally rely on analytical models. The time history of the vibration response of the structure was used to identify the presence of damage. Damage in a structure causes changes in the physical coefficients of mass density, elastic modulus and damping coefficients. This is a part of our ongoing effort on the general problem of modeling and parameter estimation for internal damping mechanisms in a composite beam. Namely, in detecting damage through time-domain or frequency-domain data from smart sensors, the common damages are changed in modal properties such as natural frequencies, mode shapes, and mode shape curvature. This paper examines the use of beam-like structures with piezoceramic sensors and actuators to perform identification of those physical parameters, and detect the damage. Experimental results are presented from tests on cantilevered composite beams damaged at different locations and different dimensions. It is demonstrated that the method can sense the presence of damage and obtain the position of a damage.

Nonlinear effects on motions and loads using an iterative time-frequency solver

  • Bruzzone, Dario;Gironi, C.;Grasso, A.
    • International Journal of Naval Architecture and Ocean Engineering
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    • 제3권1호
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    • pp.20-26
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    • 2011
  • A weakly nonlinear seakeeping methodology for predicting motions and loads is presented in this paper. This methodology assumes linear radiation and diffraction forces, calculated in the frequency domain, and fully nonlinear Froude-Krylov and hydrostatic forces, evaluated in the time domain. The particular approach employed here allows to overcome numerical problems connected to the determination of the impulse response functions. The procedure is divided into three consecutive steps: evaluation of dynamic sinkage and trim in calm water that can significantly influence the final results, a linear seakeeping analysis in the frequency domain and a weakly nonlinear simulation. The first two steps are performed employing a three-dimensional Rankine panel method. Nonlinear Froude-Krylov and hydrostatic forces are computed in the time domain by pressure integration on the actual wetted surface at each time step. Although nonlinear forces are evaluated into the time domain, the equations of motion are solved in the frequency domain iteratively passing from the frequency to the time domain until convergence. The containership S175 is employed as a test case for evaluating the capability of this methodology to correctly predict the nonlinear behavior related to wave induced motions and loads in head seas; numerical results are compared with experimental data provided in literature.

연안해역의 기상${\cdot}$파랑관측망 설계 및 해석기술의 구축 - 해양파랑관측자료의 해석방법 - (Desing and Analysis of Weather/Wave Observation Network for the Coastal Zone)

  • 류청로;김희준;손병규
    • 한국수산과학회지
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    • 제30권1호
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    • pp.16-30
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    • 1997
  • Application of digital filter to the wave analysis is studied using the observed data by wave gauge. Sea wave data obtained from wave gauge always include long wave frequency components. In order to estimate the sea wave parameters, we must re-analyzed wave data by using a digital filter and the concept of mean sea level correction method. By the wave by wave analysis and spectral methods, sea wave parameters on the basis of wave data obtained by the conventional method and digital filter are compared. The best-fitted design filter determined by the necessary conditions of frequency responses, can be obtained by calculating various transfer functions. Thus, to get the best the digital filter design, both Butterworth filter and Savitzky-Golay filter of digital filter are used in the frequency and time domain, respectively. Three cases of observation wave data are calculated by applying digital filter. The components of different frequency bands in the surf zone are coexisted in three cases. The wave data for wind wave components is computed using the digital filter the surf zone and off-surf zone, and based on the filtered data, wave parameters are calculated by the spectral analysis and wave by wave analysis methods, respectively. As a results, when sea wave data observed by wave gauge are analyzed, the Savitzky-Golay method is recommended which can well appear cut-off frequency by experimental choosing filter length in the time domain. The better mean sea level correction method is the Butterworth filter in the frequency domain.

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종합병원${\cdot}$종합전문요양기관의 외래 간호활동 분석 연구 (Analysis of nursing activities in ambulatory units of secondary and tertiary hospitals)

  • 성영희;박정숙
    • 간호행정학회지
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    • 제9권1호
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    • pp.5-18
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    • 2003
  • Purpose : For improvement of nursing services in ambulatory unit, ambulatory nursing activity was identified and the required time by nursing activity was measured. Method : The data were collected from 4 tertiary hospitals and 2 secondary hospitals. The method of data collection was used the self-reporting method. The 123 nurse-work days and 137 nurse-aid-work days in 6 hospitals were analyzed. Results : As a result, 11 ambulatory nursing domains and 79 ambulatory nursing activities were confirmed. Above 50% of subjects performed the general outpatient affair domain. The percentage of total time spent in each domain were as follows : general outpatient affair domain, 58.3%, patient education ${\cdot}$ counseling domain, 10.8%, therapeutic care domain, 8.6% and so on. And the average hours were measured by activity and domain. Conclusion : For the improvement of ambulatory nursing care, the strategies that keep the legal standard of number of ambulatory nurse and exchange the nursing-aid for the nurse is needed. And it is also needed to standardize the ambulatory nursing services.

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머신러닝을 이용한 빅데이터 품질진단 자동화에 관한 연구 (A Study on Automation of Big Data Quality Diagnosis Using Machine Learning)

  • 이진형
    • 한국빅데이터학회지
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    • 제2권2호
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    • pp.75-86
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    • 2017
  • 본 연구에서는 빅데이터의 품질을 진단하는 방법을 자동화하는 방법을 제안하고 있다. 빅데이터의 품질진단을 자동화해야 하는 이유는 4차 산업혁명이 이슈화 되면서 과거보다 더 많은 볼륨의 데이터를 발생시키고 이 데이터들을 활용 하려는 요구가 증가하기 때문이다. 데이터는 급증하지만 데이터의 품질을 진단하기 위해 많은 시간이 소비된다면 데이터를 활용하기 위해 많은 시간이 걸리거나 데이터의 품질이 낮아질 수 있다. 그러면 이러한 낮은 품질의 데이터로부터 의사결정이나 예측을 한다면 그 결과 또한 잘못된 방향을 제시할 것이다. 이러한 문제를 해결하기 위해 많은 데이터를 신속하게 진단하고 개선할 수 있는 머신러닝 이용한 빅데이터 품질 향상을 위한 진단을 자동화 할 수 있는 모델을 개발하였다. 머신러닝을 이용하여 도메인 분류 작업을 자동화하여 도메인 분류 작업 시 발생할 수 있는 오류를 예방하고 작업 시간을 단축시켰다. 연구 결과를 토대로 데이터 변환의 중요성, 학습되지 않은 데이터에 대한 학습 시킬 수 있는 방안 모색, 도메인별 분류 모델을 개발에 대한 연구를 지속적으로 진행한다면 빅데이터를 활용하기 위한 데이터 품질 향상에 기여할 수 있을 것이다.

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개선된 시간영역 해석기법에 의한 동특성 추정 (Determination of Vibration Parameters Using The Improved Time Domain Modal Identification Algorithm)

  • 정범석
    • 한국구조물진단유지관리공학회 논문집
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    • 제3권2호
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    • pp.147-154
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    • 1999
  • A new approach to conducting the vibration parameters identification algorithm is proposed. The approach employs the concept of modal amplitude ratio implemented in a mode shape estimation. The accuracy of the improved Ibrahim Time Domain identification algorithm in extracting structural modal parameters from free response functions has been studied using computer simulated data for 9 stations on the two-span continuous beam. Simulated responses from the lumped and distributed parameter system demonstrate that this algorithm produces excellent results, even in the 300% noise response.

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Stabilization of Nonlinear Discrete-Time Systems in a Frequency Domain

  • Okuyama, Yoshifumi;Nakamori, Kenji;Takemori, Fumiaki
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.33.2-33
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    • 2001
  • The robust stability condition for sampled-data control systems with a sector nonlinearity was presented in our previous paper. Although it is applicable only to the sampled-data control system of a certain class, a usual discretetime control system can belongs to this type of class. This paper analyzes the amplitude dependent behavior of nonlinear sampled-data (i.e., discrete-time) control systems in a frequency domain. By considering restricted areas (sectors) in the nonlinear characterisitic, the existence of a sustained oscillation is estimated, and the relationship between the stable/unstable conditions and the result derived from describing function is compared. Based on these considerations, the stabilization of nonlinear discrete-time control systems is examined in the frequency domain.

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