• 제목/요약/키워드: simulation-extrapolation

검색결과 62건 처리시간 0.022초

Whole Frame Error Concealment with an Adaptive PU-based Motion Vector Extrapolation for HEVC

  • Kim, Seounghwi;Lee, Dongkyu;Oh, Seoung-Jun
    • IEIE Transactions on Smart Processing and Computing
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    • 제4권1호
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    • pp.16-21
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    • 2015
  • Most video services are transmitted in wireless networks. In a network environment, a packet of video is likely to be lost during transmission. For this reason, numerous error concealment (EC) algorithms have been proposed to combat channel errors. On the other hand, most existing algorithms cannot conceal the whole missing frame effectively. To resolve this problem, this paper proposes a new Adaptive Prediction Unit-based Motion Vector Extrapolation (APMVE) algorithm to restore the entire missing frame encoded by High Efficiency Video Coding (HEVC). In each missing HEVC frame, it uses the prediction unit (PU) information of the previous frame to adaptively decide the size of a basic unit for error concealment and to provide a more accurate estimation for the motion vector in that basic unit than can be achieved by any other conventional method. The simulation results showed that it is highly effective and significantly outperforms other existing frame recovery methods in terms of both objective and subjective quality.

비반복 외삽법에 의한 불완전 투명 데이터의 재생 및 영상의 개선법 (Recovery of Truncated Projection using Non-iterative Extrapolation and Improvement of Image)

  • 이강호;최종호;최종수
    • 대한의용생체공학회:의공학회지
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    • 제8권2호
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    • pp.151-160
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    • 1987
  • An algorithm is suggested that truncted projection among the incomplete projections can be recovered from non-iterative extrapolation matrix by band-limited function. After the image being reconstructed from the recovered signals by non-iterative extrapolation, a known controur information and reprojection algorithm are used. It is shown that the reconstructed image using these algorithms is close to the original image. The effectiveness for these algorithms is proved by computer simulation.

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Monte Carlo Simulation 기법을 이용한 RMR의 역산 및 그에 의한 암반시면의 안정성 분석 (Assessment of RMR with the Monte Carlo Simulation and Stability Analysis of Rock Slopes)

  • 최성웅;정소걸
    • 터널과지하공간
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    • 제14권2호
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    • pp.97-107
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    • 2004
  • 실내시험 및 현장시험 등으로부터 구해진 각종 암반 물성치를 설계에 반영시키기 위해 여러 가지 외삽법이 적용되고 있으며, 이 기법들은 대체적으로 충분한 현장 조사 및 시험을 통해 합리적인 RMR값을 도출한 뒤, 이를 토대로 강성 및 강도 정수를 산정하는 수순을 따르고 있다. 그러나 현장 여건상 충분한 시험조사가 이루어지지 못하여 RMR값의 정확한 도출이 곤란한 경우가 있을 수도 있으므로 이러한 경우를 대비하여 Monte Carlo Simulation 기법을 도입, 비교적 합리적이고 객관적인 RMR값을 역으로 추정하고 이를 통해 설계에 필요한 지반정수를 산정하는 새로운 기법을 제안코자 한다. 이렇게 제안된 새로운 지반정수 산정기법은 수치해석결과와 현장상황의 비교분석을 통해 그 타당성이 규명될 수 있을 것이다.

점진적 기계학습 기반의 레이더 위협체 역추정 모델 생성 및 갱신 (Managing the Reverse Extrapolation Model of Radar Threats Based Upon an Incremental Machine Learning Technique)

  • 김철표;노상욱
    • 한국차세대컴퓨팅학회논문지
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    • 제13권4호
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    • pp.29-39
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    • 2017
  • 다양한 전자전 상황에서 단위 위협체에 대하여 전자전 모델링과 시뮬레이션을 수행할 수 있는 통합 전자전 시뮬레이터의 개발 필요성이 대두되고 있다. 본 논문에서는 전자전 상황에서 전자정보 수집신호의 변수를 기반으로 전자파 신호를 발산하는 레이더 위협을 역추정하기 위한 시뮬레이션 시스템의 구성요소를 분석하고, 역추정 모델을 점진적으로 유지할 수 있는 방법을 제안한다. 또한, 실험을 통하여 점진적 역추정 모델 갱신 기법의 유효성 및 개별 역추정 결과의 통합 기법을 평가한다. 개별 역추정 모델의 생성을 위하여 의사결정트리, 베이지안 분류기, 인공신경망 및 유클리디안 거리 측정방식과 코사인 유사도 측정방식을 활용하는 군집화 알고리즘을 이용하였다. 첫 번째 실험에서 레이더 위협체에 대한 역추정 모델을 구축하기 위한 위협 예제의 크기를 점진적으로 증가시키면 역추정 모델의 정확도는 향상되었으며, 이러한 과정이 반복되면 역추정 모델에 대한 정확도는 일정한 값으로 수렴하였다. 두 번째 실험에서는 개별 역추정 모델의 결과를 통합하기 위하여 투표, 가중투표 및 뎀스터-쉐이퍼 알고리즘을 이용하였으며, 역추정 모델의 통합 결과는 뎀스터-쉐이퍼 알고리즘에 의한 역추정 정확도가 가장 좋은 성능을 보였다.

RICHARDSON EXTRAPOLATION AND DEFECT CORRECTION OF MIXED FINITE ELEMENT METHODS FOR ELLIPTIC OPTIMAL CONTROL PROBLEMS

  • Chen, Yanping;Huang, Yunqing;Hou, Tianliang
    • 대한수학회지
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    • 제49권3호
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    • pp.549-569
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    • 2012
  • In this paper asymptotic error expansions for mixed finite element approximations to a class of second order elliptic optimal control problems are derived under rectangular meshes, and the Richardson extrapolation of two different schemes and interpolation defect correction can be applied to increase the accuracy of the approximations. As a by-product, we illustrate that all the approximations of higher accuracy can be used to form a class of a posteriori error estimators of the mixed finite element method for optimal control problems.

칼만필터를 사용하는 INS/GPS 결합시스템에서 측정치 지연에 의한 오차 분석 및 보상 (Error Analysis and Compensation of Measurement Delay in INS/GPS Integrated Systems with Kalman Filtering)

  • 박찬국;조성윤;진용
    • 제어로봇시스템학회논문지
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    • 제6권11호
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    • pp.1039-1044
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    • 2000
  • In this paper, the error caused by the measurement delay in INS/GPS integrated systems with Kalman filtering is defined and analyzed through the analytical method and the simulation. It is proved that the error of measurement delay causes not only the position error but also the estimate error of the x-axis accelerometer bias when a vehicle turns. And the estimation method of the delay time and the compensation method using an extrapolation method are presented. The performance of the compensation method is shown by the analytic method and the simulation.

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Statistical analysis of KNHANES data with measurement error models

  • Hwang, Jinseub
    • Journal of the Korean Data and Information Science Society
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    • 제26권3호
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    • pp.773-779
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    • 2015
  • We study a statistical analysis about the fifth wave data of the Korea National Health and Nutrition Examination Survey based on linear regression models with measurement errors. The data is obtained from a national population-based complex survey. To demonstrate the availability of measurement error models, two results between the general linear regression model and measurement error model are compared based on the model selection criteria which are Akaike information criterion and Bayesian information criterion. For our study, we use the simulation extrapolation algorithm for measurement error model and the jackknife method for the estimation of standard errors.

SOME PROPERTIES OF SIMEX ESTIMATOR IN PARTIALLY LINEAR MEASUREMENT ERROR MODEL

  • Meeseon Jeong;Kim, Choongrak
    • Journal of the Korean Statistical Society
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    • 제32권1호
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    • pp.85-92
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    • 2003
  • We consider the partially linear model E(Y) : X$^{t}$ $\beta$+η(Z) when the X's are measured with additive error. The semiparametric likelihood estimation ignoring the measurement error gives inconsistent estimator for both $\beta$ and η(.). In this paper we suggest the SIMEX estimator for f to correct the bias induced by measurement error, and explore its properties. We show that the rational linear extrapolant is proper in extrapolation step in the sense that the SIMEX method under this extrapolant gives consistent estimator It is also shown that the SIMEX estimator is asymptotically equivalent to the semiparametric version of the usual parametric correction for attenuation suggested by Liang et al. (1999) A simulation study is given to compare two variance estimating methods for SIMEX estimator.

수정된 내부 에너지 비평형 1차 외삽 경계조건을 적용한 열 유동 격자 볼츠만 모델에 관한 수치적 연구 (Numerical Simulation of Thermal Lattice Boltzmann Model with a Modified In-Ternal Energy Non-Equilibrium First-Order Extrapolation Boundary Condition)

  • 정해권;김래성;이현구;이재룡;하만영
    • 대한기계학회논문집B
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    • 제31권7호
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    • pp.620-627
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    • 2007
  • In this paper, we adapt a modified internal energy non-equilibrium first-order extrapolation thermal boundary condition to the thermal lattice Boltzmann model (TLBM). This model is the double populations approach to simulate hydrodynamic and thermal fields. The bounce-back boundary condition which is a traditional boundary condition of lattice Boltzmann method has only a first order in numerical accuracy at the boundary and numerical instability. A non-equilibrium first-order extrapolation boundary condition has been verified to be of better numerical stability than the bounce-back boundary condition and this boundary condition is proved to be of second-order accuracy for the flat boundaries. The two-dimensional natural convection flow in a square cavity with Pr=0.71 and various Rayleigh numbers are simulated. The results are found to be in good agreement with those of previous studies.

Side Information Extrapolation Using Motion-aligned Auto Regressive Model for Compressed Sensing based Wyner-Ziv Codec

  • Li, Ran;Gan, Zongliang;Cui, Ziguan;Wu, Minghu;Zhu, Xiuchang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제7권2호
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    • pp.366-385
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    • 2013
  • In this paper, we propose a compressed sensing (CS) based Wyner-Ziv (WZ) codec using motion-aligned auto regressive model (MAAR) based side information (SI) extrapolation to improve the compression performance of low-delay distributed video coding (DVC). In the CS based WZ codec, the WZ frame is divided into small blocks and CS measurements of each block are acquired at the encoder, and a specific CS reconstruction algorithm is proposed to correct errors in the SI using CS measurements at the decoder. In order to generate high quality SI, a MAAR model is introduced to improve the inaccurate motion field in auto regressive (AR) model, and the Tikhonov regularization on MAAR coefficients and overlapped block based interpolation are performed to reduce block effects and errors from over-fitting. Simulation experiments show that our proposed CS based WZ codec associated with MAAR based SI generation achieves better results compared to other SI extrapolation methods.