• Title/Summary/Keyword: AR 모델

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The Characteristics of Muscle Fatigue of EMG Signal Using the AR Model (AR 모델을 이용한 EMG 신호의 근육피로 특성)

  • 김홍래;왕문성
    • Journal of Biomedical Engineering Research
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    • v.10 no.1
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    • pp.11-16
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    • 1989
  • This paper describes the AR model of EMG signal during maximum voluntary contraction. By comparing the AR coefficients and the reflection coefficients of the AR model with the median frequency of power spectrum, it is proved that muscle fatigue can be measured by the AR and the reflection coefficients. In the estimation procedure of AR model parameter, the autocorrelation method is superior to the covariance method, and it is determined that the optimal order is six. As the muscle becomes fatigue, the median frequency of power spectrum is declined, and the AR coefficient [$a_1$] and the reflection coefficient [$k_1$] are also decreased. Therefore the muscle fatigue can be measured by the AR parameter.

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Design and Implementation of AR Model based Automatic Identification and Restoration Scheme for Line Scratches in Old Films (AR 모델 기반의 고전영화의 긁힘 손상의 자동 탐지 및 복원 시스템 설계와 구현)

  • Han, Ngoc-Soc;Kim, Seong-Whan
    • The KIPS Transactions:PartB
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    • v.17B no.1
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    • pp.47-54
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    • 2010
  • Old archived film shows two major defects: line scratch and blobs. In this paper, we present a design and implementation of an automatic video restoration system for line scratches observed in archived film. We use autoregressive (AR) image model because we can make stochastic and specifically autoregressive image generation process with our PAST-PRESENT model and Sampling Pattern. We designed locality maximizing scanning pattern, which can generate nearly stationary time-like series of pixels, which is a strong requirement for a stochastic series to be autoregressive. The sampled pixel series undergoes filtering and model fitting using Durbin-Levinson algorithm before interpolation process. We designed three-stage film restoration system, which includes (1) film acquisition from VHS tapes, (2) simple line scratch detection and restoration, and (3) manual blob identification and sophisticated inpainting scheme. We implemented film acquisition and simple inpainting scheme on Texas Instruments DSP board TMS320DM642 EVM, and implemented our AR inpainting scheme on PC for sophisticated restoration. We experimented our scheme with two old Korean films: "Viva Freedom" and "Robot Tae-Kwon-V", and the experimental results show that our scheme improves Bertalmio's scheme for subjective quality (MOS), objective quality (PSNR), and especially restoration ratio (RR), which reflects how much similar to the manual inpainting results.

AR-QC DEA모형을 이용한 신제품 시장 모의테스트 메커니즘에 관한 연구

  • 백철우;이정동;김태유
    • Proceedings of the Korea Technology Innovation Society Conference
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    • 2001.11a
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    • pp.169-186
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    • 2001
  • The researches about the general flow of new product development process was achieved in various field. But there was little discussion about the methodologies and tools used in that process. So we suggest new DEA model as the methodology that determines sustainable price and quality attributes and this can substitute econometric hedonic methodology. To make smooth surface composed of quality attributes and price, we use QC-DEA model. Additionally we make AR-QC DEA model by introducing AR to reflect consumer perceptions on quality attributes. AR-QC DEA overcomes the limits of parametric methodology and represents product-specific shadow prices, so it is possible to supply the information about quality attributes and price combination in new product development process and to simulate easily whether new product can exist in the market. Finally by empirical research on notebook computer we can show that AR-QC DEA has the ability to explain market change.

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Reactor Neutron Noise Analysis using AR Spectral Estimation (AR 스펙트럼 추정법을 이용한 원자로 중성자 잡음 신호 해석)

  • Sim, Cheul-Muu;Hwang, Tae-Jin;Baik, Heung-Ki
    • The Journal of the Acoustical Society of Korea
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    • v.16 no.5
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    • pp.83-91
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    • 1997
  • A reactor vibration monitoring has been performed using neutron noise obtained from excore detectors for the safety operation, Traditionally, the spectral estimator based on Fourier analysis has been widely used in the noise analysis of the reactor system. If the bias is too severe, the resolution would not be adequate for a given application. One major motivation for the current interests in the parametric approach to spectral estimation is the apparent higher resolution achievable with these modern techniques. In considering an unbias, a consistency, an efficency, and a minimum lower bound of the statictic estimation, an AR model is appropriate for noise spectral estimation with sharp peaks but not deep valley. In order to select an appropriate model order, the lag value of autocorrleaton function is applied. Burg method to trace the vibration mode of RPV internal is the most sucuessful.

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A Study on Muscle Fatigue Changes using AR Model-based Median Frequency in EMG (AR모델을 이용한 중앙주파수의 근피로 변화에 관한 연구)

  • Cho, EunSeuk;Cha, Sam;Lee, Sangsik;Lee, Kiyoung
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.2 no.1
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    • pp.17-22
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    • 2009
  • In this paper, we extract well-known parameters such as zero crossing rate(ZCR), low band energy(Band) and median frequency(MDF) from surface electromyogram (EMG), and compare to evaluate themselves as measures for fatigue. In experiments, 3 males and 3 females volunteered to participate in surface EMG recordings placed on the biceps brachii and each recording experiment continued until exhaustion.

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Analysis of EEG for Yes/No decision task using AR model (AR 모델을 이용한 긍/부정 과제 수행시 뇌파분석)

  • 남승훈;류창수;임태규;송윤선
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2002.11a
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    • pp.250-254
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    • 2002
  • 컴퓨터의 발달과 더불어 인간과 컴퓨터 인터페이스에 있어서도 많은 발전을 하고 있다. 본 연구는 두뇌-컴퓨터 인터페이스(brain-computer interface : BCI)를 위해서 인간에 있어서 가장 간단한 의사문제라고 여겨지는 긍정이나 부정을 선택할 때 나타나는 뇌파를 AR 모델을 이용하여 시간-주파수 분석을 한 후 topographical map을 그렸다. 그 결과 문제에 대답하는 시점 전후에서 파워스펙트럼이 유사하였고, 피험자가 문제를 읽고 판단하고, 동작하는 시점(reaction time : RT) 전으로 1초 ~ 0.5초 사이에 전두엽과 두정엽 부위에서 16Hz ~ 24Hz, 80 ∼ 88Hz의 주파수 대역에서 유의미한 차이를 보였다.

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Monitoring of Tool Life through AR Model and Correlation Dimension Analysis (시계열 모델과 상관차원 해석을 통한 공구수명의 감시)

  • 김정석;이득우;강명창;최성필
    • Journal of the Korean Society for Precision Engineering
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    • v.15 no.11
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    • pp.189-198
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    • 1998
  • Recently, monitoring of tool life is a matter of common interesting because tool life affects precision, productivity and cost in machining process. Especially flank wear has a direct effect on cutting mechanism, so the various pattern of cutting force is obtained experimentally according to variation of wear condition. By investigating cutting force signal, AR(Autoregressive) modeling and correlation dimension analysis is conducted in turning operation. In this modeling and analysis, we extract features through 6th AR model, correlation integral and normalized correlation integral. After the back-propagation model of the neural network is utilized to monitor tool life according to flank wear. As a result. a very reliable classification of tool life was obtained.

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A Study on Analysis of Time Delay Model Using Autoregressive Method for Mobile Communication Channels (AR 모델을 이용한 이동 통신 채널의 시간 지연 해석기법에 관한 연구)

  • 이형권;류은숙;이종길
    • Proceedings of the IEEK Conference
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    • 1999.06a
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    • pp.29-32
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    • 1999
  • In this study, the time delay model were simulated using the well-known AR model. Frequency response of the time delay model can be obtained by mapping AR model to JTC model in the time domain. That is, from the few measurement data in JTC model, the channel frequency response can be obtained by the estimation of AR model parameters. From this channel frequency response, the time delay model can be obtained using Fourier transformation. To prove the validity of the suggested method, three models of JTC were shown and analyzed.

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Deep Learning based Vehicle AR Manual for Improving User Experience (사용자 경험 향상을 위한 딥러닝 기반 차량용 AR 매뉴얼)

  • Lee, Jeong-Min;Kim, Jun-Hak;Seok, Jung-Won;Park, Jinho
    • Journal of the Korea Computer Graphics Society
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    • v.28 no.3
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    • pp.125-134
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    • 2022
  • This paper implements an AR manual for a vehicle that can be used even in the vehicle interior space where it is difficult to apply the augmentation method of AR content, which is mainly used, and applies a deep learning model to improve the augmentation matching between real space and virtual objects. Through deep learning, the logo of the steering wheel is recognized regardless of the position, angle, and inclination, and 3D interior space coordinates are generated based on this, and the virtual button is precisely augmented on the actual vehicle parts. Based on the same learning model, the function to recognize the main warning light symbols of the vehicle is also implemented to increase the functionality and usability as an AR manual for vehicles.

Damage Monitoring in Foundation-Structure Interface of Harbor Caisson Using Vibration-based Autoregressive Model (진동기반 자기회귀모델을 통한 항만케이슨 지반-구조 경계부의 손상 모니터링)

  • Lee, So-Ra;Lee, So-Young;Kim, Jeong-Tae;Park, Woo-Sun
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.23 no.1
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    • pp.18-25
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    • 2011
  • This study presents the damage monitoring method in foundation-structure interface of harbor caisson using vibration-based autoregressive (AR) model. In order to achieve the objective, the following approaches are implemented. Firstly, vibration-based AR model is selected to monitor the damage in foundation-structure interface of caisson structure. Secondly, finite element analysis on a caisson structure model is implemented to evaluate the vibration-based damage monitoring method. Finally, vibration test on a caisson structure model is performed to evaluate applicability of vibration-based AR model method for foundation-structure interface of caisson structure.