• 제목/요약/키워드: Time-varying data

검색결과 689건 처리시간 0.031초

실시간 휴먼 시뮬레이션을 위한 깊이 카메라 기반의 자세 판별 및 모션 보간 (Depth Camera-Based Posture Discrimination and Motion Interpolation for Real-Time Human Simulation)

  • 이진원;한정호;양정삼
    • 한국CDE학회논문집
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    • 제19권1호
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    • pp.68-79
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    • 2014
  • Human model simulation has been widely used in various industrial areas such as ergonomic design, product evaluation and characteristic analysis of work-related musculoskeletal disorders. However, the process of building digital human models and capturing their behaviors requires many costly and time-consuming fabrication iterations. To overcome the limitations of this expensive and time-consuming process, many studies have recently presented a markerless motion capture approach that reconstructs the time-varying skeletal motions from optical devices. However, the drawback of the markerless motion capture approach is that the phenomenon of occlusion of motion data occurs in real-time human simulation. In this study, we propose a systematic method of discriminating missing or inaccurate motion data due to motion occlusion and interpolating a sequence of motion frames captured by a markerless depth camera.

Efficient buffeting analysis under non-stationary winds and application to a mountain bridge

  • Su, Yanwen;Huang, Guoqing;Liu, Ruili;Zeng, Yongping
    • Wind and Structures
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    • 제32권2호
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    • pp.89-104
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    • 2021
  • Non-synoptic winds generated by tornadoes, downbursts or gust fronts exhibit significant non-stationarity and can cause significant wind load effect on flexible structures such as long-span bridges. However, conventional assumptions on stationarity used to evaluate the structural wind-induced vibration are inadequate. In this paper, an efficient frequency domain scheme based on fast CQC method, which can predict non-stationary buffeting random responses of long-span bridges, is presented, and then this approach is applied to evaluate the buffeting response of a long-span suspension bridge located in a complex mountainous wind environment as an example. In this study, the data-driven method based on one available measured wind speed sample is firstly presented to establish non-stationary wind models, including time-varying mean wind speed, time-varying intensity envelope function and uniformly modulated fluctuating spectrum. Then, a linear time-variant (LTV) system based on the proposed scheme can be generally applied to calculate the non-stationary buffeting responses. The effectiveness and accuracy of the proposed scheme are verified through Monte Carlo time domain simulation implemented in ANSYS platform. Also, the transient effect nature of the bridge responses is further illustrated by comparison of the non-stationary, quasistationary and steady-state cases. Finally, buffeting response analysis with traditional stationary treatment (10 min constant mean plus stationary wind fluctuation) is performed to illustrate the importance of the non-stationary characteristics embedded in original wind speed samples.

Ferroelectric P(VDF/TrFE) Copolymers in Low-Cost Non-Volatile Data Storage Applications

  • Prabu A. Anand;Lee, Jong-Soon;Chang You-Min;Kim, Kap-Jin
    • 한국고분자학회:학술대회논문집
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    • 한국고분자학회 2006년도 IUPAC International Symposium on Advanced Polymers for Emerging Technologies
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    • pp.237-237
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    • 2006
  • P(VDF/TrFE(72/28) ultrathin films were used in the fabrication of Metal-Ferroelectric polymer-Metal (MFM) single bit device with special emphasis on uniform film surface, faster dipole switching time under applied external field and longer memory retention time. AFM and FTIR-GIRAS were complementary in analyzing surface crystalline morphology and the resultant change in chain orientation with varying thermal history. DC-EFM technique was used to 'write-read-erase' the data on the memory bit in a much faster time than P-E studies. The results obtained from this study will enable us to have a good understanding of the ferroelectric and piezoelectric behavior of P(VDF/TrFE)(72/28) thin films suitable for high density data storage applications.

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Non-Stationary 추이확률 모형에 의한 농작물의 체계에 관한 연구 (A study on the planted system of agricultural crops using non-stationary transition probability model)

  • 강정혁;김여근
    • 경영과학
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    • 제8권1호
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    • pp.3-11
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    • 1991
  • Non-Stationary transition probabilities models which is incorporated into a Markov framework with exogenous variables to account for some of variability are discussed, and extended for alternative procedure. Also as an application of the methodology, the size change of aggregate time-series data on the planted system of agricultural crops is estimated, and evaluated for the precision of time-varying evolution statistically.

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도시유출 및 수질관리를 위한 지리정보체계 및 전문가시스템의 적용 (Applications of Geographic Information System and Expert System for Urban Runoff and Quality Management)

  • 이범희
    • 한국수자원학회논문집
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    • 제34권3호
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    • pp.253-263
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    • 2001
  • 도시유역의 수자원 개발 및 재해예방을 위해서는 정확한 입력정보의 생성방안을 개발하였고, 급속한 도시화의 영향에 따른 수자원 및 환경문제를 보다 효율적으로 해결하기 위하여 전문가시스템의 개발 및 적용방안을 제안하였다. ARC/INFO를 사용한 지리정보체계의 적용과 인공위성 관측자료를 사용함으로써 넓은 공간에서 시간적 변화가 큰 안양천 유역의 자료들을 합리적으로 획득하였으며, CLIPS 6.0을 적용하여 전문가시스템 ESPE를 개발하였다. 재현결과가 측정자료들과 전반적으로 일치하였고, 이러한 방법들은 급속히 변화하는 도시유역의 유출 및 수질 모의에 효율적으로 활용될 수 있을 것으로 기대된다.

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다양한 규모매개변수를 이용한 비정상성 Gumbel 모형의 비교 연구 (Comparison Study on the Various Forms of Scale Parameter for the Nonstationary Gumbel Model)

  • 장한진;김수영;허준행
    • 한국수자원학회논문집
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    • 제48권5호
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    • pp.331-343
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    • 2015
  • 비정상성 빈도해석을 위해 개발된 비정상성 확률분포 모형들은 대부분 매개변수에 시간항을 포함하는 형태로 정의된다. 이 중에서도 우리나라에 널리 사용되고 있는 Gumbel 모형에 대해 살펴보면, 비정상성 Gumbel 모형의 위치 및 규모매개변수는 시간에 대해 선형(linear) 및 지수(exponential) 함수의 관계를 보이는 형태로 가정한다. 규모매개변수의 지수함수의 형태는 음(-)의 값이 추정되는 것을 방지하기 위해 제안되어 널리 사용되고 있으나 이로 인해 확률수문량이 과다산정되는 문제가 발생하기도 한다. 본 연구에서는 이러한 문제를 해결하기 위해 비정상성 Gumbel 모형의 규모매개변수의 다양한 형태를 비교하고자 한다. 이를 위해 비정상성 Gumbel 모형의 규모매개변수를 지수함수, 선형, 로그 형태로 가정하여 비교하였다. 각 모형의 매개변수의 추정은 최우도법을 적용하였고 규모매개변수의 형태별 정확도 비교를 위해 모의실험을 수행하였으며, 실제 자료에 대한 적용으로 자료기간 30년 이상을 보유하면서 경향성을 가지는 강우량 자료들을 대상으로 비정상성 빈도해석을 수행하였다. 그 결과, 지수함수 형태를 가정한 규모매개변수를 가지는 비정상성 Gumbel 모형이 가장 작은 오차를 가지는 것으로 분석되었다.

Bayesian estimation of median household income for small areas with some longitudinal pattern

  • Lee, Jayoun;Kim, Dal Ho
    • Journal of the Korean Data and Information Science Society
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    • 제26권3호
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    • pp.755-762
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    • 2015
  • One of the main objectives of the U.S. Census Bureau is the proper estimation of median household income for small areas. These estimates have an important role in the formulation of various governmental decisions and policies. Since direct survey estimates are available annually for each state or county, it is desirable to exploit the longitudinal trend in income observations in the estimation procedure. In this study, we consider Fay-Herriot type small area models which include time-specific random effect to accommodate any unspecified time varying income pattern. Analysis is carried out in a hierarchical Bayesian framework using Markov chain Monte Carlo methodology. We have evaluated our estimates by comparing those with the corresponding census estimates of 1999 using some commonly used comparison measures. It turns out that among three types of time-specific random effects the small area model with a time series random walk component provides estimates which are superior to both direct estimates and the Census Bureau estimates.

빔 형성 방법을 이용한 회전하는 음원의 위치 판별에 관한 연구 (Localization of Rotating Sound Sources Using Beamforming Method)

  • 이재형;홍석호;최종수
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2004년도 춘계학술대회논문집
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    • pp.837-842
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    • 2004
  • The positions of rotating sound sources have been localized by experiments with the Doppler effects removed. In order to do-Dopplerize the sound signals emitted from moving sources, two kinds of signal reconstruction methods were applied. One is the forward propagation method and the other is the backward propagation method. Forward propagation method analyze the source emission time based on the instantaneous distance between sensors and the assumed source position, then the signals are reconstructed with respect to the emission time. On the other hand, the backward method uses time delay to do-Dopplerize the acquired data for the received time of reference. In both techniques, the reconstructed signal data were processed using beamforming algorithm to produce power distributions at the frequency of interest. Experiments have been carried out for varying frequencies, rotating speeds and the object distances. Forward propagation method has shown better performance in locating source position than the backward propagation method.

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Gains Achieved by Symbol-by-Symbol Rate Adaptation on Error-Constrained Data Throughput over Fading Channels

  • Lee, Daniel C.;Tsaur, Lih-Feng
    • Journal of Communications and Networks
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    • 제9권3호
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    • pp.213-218
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    • 2007
  • Methods for symbol-by-symbol channel feedback and adaptation of symbol durations have been recently proposed. In this paper, we quantitatively analyze the gain in error-constrained data throughput due to such an extremely rapid adaptation of symbol durations to fast-time-varying channels. The results show that a symbol-by-symbol adaptation can achieve a throughput gain by orders of magnitude over a frame-by-frame adaptation.

가상 디바이스 네트워크상에서 불확실한 시간지연을 갖는 실시간 분산제어를 이용한 예지보전에 관한 연구 (Real-time Distributed Control in Virtual Device Network with Uncertain Time Delay for Predictive Maintenance (PM))

  • Kiwon Song;Gi-Heung Choi
    • 한국안전학회지
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    • 제18권3호
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    • pp.154-160
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    • 2003
  • 원격지에 위치한 분산제어 시스템과 센서 데이터 또는 제어 명령을 주고받을 때에는 불확실한 시간지연이 발생한다. TCP/IP 프로토콜을 이용한 데이터 네트워크와 마찬가지로 데이터 네트워크와 디바이스 네트워크를 결합한 가상 디자이스 네트워크도 불확실한 시간지연이 내재되어 있다. 이러한 시간지연은 분산제어시스템의 성능을 저하시키고 불안전성을 야기하는 원인이 된다. 본 논문에서는 이러한 네트워크상에 내재하는 시간지연을 평가하고 부정적인 효과를 최소화하기 위하여 Smith Predictor를 적용하였다. 제안된 제어 알고리즘은 실시간 서보제어를 통하여 효과를 입증하였으며 가상 디바이스 네트워크 개념에 근거한 분산제어 시스템을 이용하여 실시간 예지보전을 수행할 때 효과가 있음을 제시하였다.