• Title/Summary/Keyword: 제거방법

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Determining the existence of unit roots based on detrended data (추세 제거된 시계열을 이용한 단위근 식별)

  • Na, Okyoung
    • The Korean Journal of Applied Statistics
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    • v.34 no.2
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    • pp.205-223
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    • 2021
  • In this paper, we study a method to determine the existence of unit roots by using the adaptive lasso. The previously proposed method that applied the adaptive lasso to the original time series has low power when there is an unknown trend. Therefore, we propose a modified version that fits the ADF regression model without deterministic component using the adaptive lasso to the detrended series instead of the original series. Our Monte Carlo simulation experiments show that the modified method improves the power over the original method and works well in large samples.

A Study on Hybrid Filter Algorithm for Image Denoising (영상 잡음제거를 위한 하이브리드 필터 알고리즘에 관한 연구)

  • Yinyu, Gao;Kim, Nam-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.05a
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    • pp.127-129
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    • 2012
  • Due to the prevalence of digital camera, multi-media etc. the image is being used in everyday life. However, noise always damages the image and the image denoising technology is important part for improving the image visual quality. There are many existing methods to remove noise such as wiener filter, mean filter and VisuShrink etc. However, they perform not good enough for denoising. Hence, in this paper we proposed a hybrid filter algorithm which consists of wiener filter and modified wavelet based thresholding method using adaptive threshold and thresholding function. The proposed algorithm shows not only better low frequency and high frequency property, but also the outstanding noise suppression and edge preservation properties.

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Performance Enhancement of Shadow Removal Algorithms Using Color Information of Objects (물체의 컬러 정보를 이용한 그림자 제거 기법의 성능 향상)

  • Kim, Hee-Sang;Kim, Ji-Hong;Choi, Doo-Hyun
    • Journal of Korea Multimedia Society
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    • v.12 no.7
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    • pp.941-946
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    • 2009
  • As supplying of automatic surveillance or patrol systems based on image processing, the needs on object extraction technology from images increases. The extraction is more difficult when the lighting condition is changed from time to time. There are many approaches to extract objects from images excluding shadow. They have a common problem something like loss of object region according with shadow removal. In this paper a restoration method using color information of objects to complement the problem is presented. The usefulness of the method is verified using images taken from different lighting conditions and selected from well-known DB.

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Proposition for 4 Channel Frontal Lobe Electrode Configuration and Study on EOG Removal from Measured EEG (4채널 전두엽 전극 배치법의 제안과 측정된 뇌파에서의 안전도 제거에 관한 연구)

  • 신수인;조진호;김명남
    • Journal of Korea Multimedia Society
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    • v.6 no.1
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    • pp.167-175
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    • 2003
  • In this paper, a new electrode configuration and EOG removal method are proposed in order to measure EEG effectively on the frontal lobe and remove EOG in the measured raw EEG. The method of measuring EEG is proposed using four electrodes and a ground electrode on the frontal lobe with a reference electrode at the left earlobe. And also, the separation method using ICA is proposed for EOG removal from the measured EEG, Through the experiments of measuring EEG it was demonstrated that a subject can attach the electrodes by himself easily to measure his own EEG without any assistant and the proposed methods were suitable for removing EOG signal from the measured EEG.

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A Study on No-line Filter for Image Denoising (영상 잡음제거를 위한 비선형 필터에 관한 연구)

  • Long, Xu;Kim, Nam-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.05a
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    • pp.411-413
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    • 2013
  • Image signal processing is applied in different areas due to diffusion of smart phone, computer, multimedia etc. However, image most is damaged by impulse noise, and the need of denoising technology for improvement of image quality is coming to the fore. The existing methods for denoising such as mean filter and median filter, but they represent poor denoising. Therefore, the removes impulse noise, this paper proposed the modified mean filter algorithm using standard deviation, and as a simulation result, the proposed method showed excellent denoising capabilities to the existing methods.

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Arterio-Venous Line Connection for Effective Intracardiac Deairing after Open Heart Surgery (개심술 후 저류공기의 효과적인 제거를 위한 동정맥도관의 설치)

  • 정성운;김종원;박준호
    • Journal of Chest Surgery
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    • v.36 no.11
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    • pp.834-838
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    • 2003
  • Background: Deairing from the heart after open heart surgery(cardiopulmonary bypass) is a very important procedure. Artificial arteriovenous fistula was used to remove air, and the efficiency was evaluated by transesophageal echocardiography. Material and Method: Just before termination of cardiopulmonary bypass, a standard pressure transducer line is connected between the stopcocks of the connections in the arterial and venous circuits, creating a small controlled arteriovenous fistula between the arterial and venous cannulas. The degree of intracardiac air and air removal time were evaluated either by transesophageal echocardiography or direct vision of pressure transducer line. Result: By simple procedure, cardiopulmonary time was shortened and air clearing can be confirmed using echocardiography in a few minutes. Conclusion: Creation of arteriovenous fistula using small connecting line between aortic and venous cannula is a very simple and effective method of deairing and preventing of air embolism after open heart surgery.

Background Subtraction Algorithm by Using the Local Binary Pattern Based on Hexagonal Spatial Sampling (육각화소 기반의 지역적 이진패턴을 이용한 배경제거 알고리즘)

  • Choi, Young-Kyu
    • The KIPS Transactions:PartB
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    • v.15B no.6
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    • pp.533-542
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    • 2008
  • Background subtraction from video data is one of the most important task in various realtime machine vision applications. In this paper, a new scheme for background subtraction based on the hexagonal pixel sampling is proposed. Generally it has been found that hexagonal spatial sampling yields smaller quantization errors and remarkably improves the understanding of connectivity. We try to apply the hexagonally sampled image to the LBP based non-parametric background subtraction algorithm. Our scheme makes it possible to omit the bilinear pixel interpolation step during the local binary pattern generation process, and, consequently, can reduce the computation time. Experimental results revealed that our approach based on hexagonal spatial sampling is very efficient and can be utilized in various background subtraction applications.

An Efficient Shadow Removal Technique adapted to Environmental Changes (환경변화에 적응하는 효율적인 그림자 제거 기법)

  • Ryu, Nam-Hoon;Ban, Kyeong-Jin;Oh, Kyeong-Sug;Kim, Eung-Kon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.4 no.3
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    • pp.204-210
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    • 2009
  • There has been a lot of research into a background separation method, which is a preprocess of a technique of automatically perceiving an invader, and the removal of shadows around a moving object in the video monitoring field. When a moving object is not clearly separated from its shadow, it is difficult to analyze the shape accurately, and it is also hard to trace its position. This study suggests how to utilize a brightness value for removing a shadow. It came from the fact that there appears to be no change of color in the shadow area relative to the background area, and there only occurs a difference in brightness. In addition, this method uses the renewal of a critical value used for the removal of shadow in the previous frame, in the next frame.

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A Single Channel Adaptive Noise Cancellation for Speech Signals (음성신호의 단일입력 적응잡음제거)

  • Gahng, Hae-Dong;Bae, Keun-Sung
    • The Journal of the Acoustical Society of Korea
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    • v.13 no.3
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    • pp.16-24
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    • 1994
  • A single channel adaptive noise canceling (ANC) technique is presented for removing effects of additive noise on the speech signal. The conventional method obtains a reference signal using the pitch estimated on a frame basis from the input speech. The proposed method, however, gets the reference signal using the delay estimated recursively on a sample by sample basis. To estimate the delay, we derive recursion formula of autocorrelation function and average magnitude difference function. The performance of the proposed method is evaluated for the speech signals distorted by the additive white Gaussian noise. Experimental results with normalized least mean square (NLMS) adaptive algorithm demonstrate that the proposed method improves the perceived speech quality quite well besides the signal-to-noise ratio.

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New DC-suppression Method of Modulation Codes for High Density Optical Recording Systems (고밀도 광 기록 장치를 위한 변조 코드의 새로운 직류 성분 제거 방법)

  • Lee, Joo-Hyun;Lee, Jae-Jin
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.27 no.1A
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    • pp.13-17
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    • 2002
  • For elimination DC component, the optical recording systems generally exploit WRDS (word-end running digital sum) criterion. However, its performance is degraded if the lengths of the control bits and codewords are increased. Another criterion is MSW (mean-square weight) method. Whereas MSW criterion has the complexity, this hs optimal performance. In this paper, we have proposed a new dc-component suppression method (MPRDS, minimum peak RDS) of the modulation codes for high density optical recording system. This method requires less complexity than MSW's, and the performance is near to MSW's even if the lengths of the control bits and codewords are increased.