• Title/Summary/Keyword: Noise Removing

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Structural Dynamics Modification Using Surface Grooving Technique (임의의 형태를 갖는 흠을 이용한 표면형상변형을 통한 동특성 변경)

  • 박미유;박영진;박윤식
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2004.05a
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    • pp.859-863
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    • 2004
  • Structural Dynamics Modification is very effective technique to improve structure's dynamic characteristics by adding or removing auxiliary structures, changing material property, changing shape of structure. In this research, using the surface grooving technique, shape of base structure was changed to improve its first natural frequency. Utilizing the result of sensitivity analysis, groove shape was formed gathering the many small embossing elements. For this process, Sensitivity Criterion Factor was introduced. To reduce its amount of calculation, the range of target area was restricted to their neighboring area and that result was very successful.

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Fast short length running FIR structure in discrete wavelet adaptive algorithm

  • Lee, Chae-Wook
    • Journal of the Institute of Convergence Signal Processing
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    • v.13 no.1
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    • pp.19-25
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    • 2012
  • An adaptive system is a well-known method for removing noise from noise-corrupted speech. In this paper, we perform a least mean square (LMS) based on wavelet adaptive algorithm. It establishes the faster convergence rate of as compared to time domain because of eigenvalue distribution width. And this paper provides the basic tool required for the FIR algorithm whose algorithm reduces the arithmetic complexity. We consider a new fast short-length running FIR structure in discrete wavelet adaptive algorithm. We compare FIR algorithm and short-length fast running FIR algorithm (SFIR) to the proposed fast short-length running FIR algorithm(FSFIR) for arithmetic complexities.

Extraction of Simplified Boundary In Binary Image (이진 영상에서의 단순화된 윤곽선 추출 방법)

  • 김성영
    • Journal of the Korea Society of Computer and Information
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    • v.4 no.4
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    • pp.34-39
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    • 1999
  • In this paper, boundary extraction algorithm is suggested by removing boundary noises efficiently and simplifying object shape in binary image. To remove boundary noises, $2{times}2$ mask boundary extraction algorithm is modified . Proposed method is designed to generate a symmetric path for the parasitic branch noise and to analysis traced features on end point of noise. It can extract more simplified object boundary but preserve original object shape by combining white background color extraction result with foreground extraction result. The usefulness of the proposed method was proved through experiments with various binary images.

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Denoising of Speech Signal Using Wavelet Transform (웨이브렛 변환을 이용한 음성신호의 잡음제거)

  • 한미경;배건성
    • The Journal of the Acoustical Society of Korea
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    • v.19 no.5
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    • pp.27-34
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    • 2000
  • This paper deals with speech enhancement methods using the wavelet transform. A cycle-spinning scheme and undecimated wavelet transform are used for denoising of speech signals, and then their results are compared with that of the conventional wavelet transform. We apply soft-thresholding technique for removing additive background noise from noisy speech. The symlets 8-tap wavelet and pyramid algorithm are used for the wavelet transform. Performance assessments based on average SNR, cepstral distance and informal subjective listening test are carried out. Experimental results demonstrate that both cycle-spinning denoising(CSD) method and undecimated wavelet denoising(CWD) method outperform conventional wavelet denoising(UWD) method in objective performance measure as welt as subjective listening test. The two methods also show less "clicks" that usually appears in the neighborhood of signal discontinuities.

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Edge Detection of Characters on the Rubber Tire Image Using Fuzzy $\alpha-Cut$ Set (퍼지 $\alpha$ 컷 집합에 의한 고무 타이어 영상의 문자 윤관선 추출)

  • 김경민;박중조;박귀태
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.6
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    • pp.71-80
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    • 1994
  • The purpose of this paper is to explore the use of fuzzy set theory for image processing and analysis. As an application example, the fuzzy method of edge detection is proposed to extract the edges of raised characters on tires.In general, Sobel, Prewitt, Robert and LoG filters are used to detect the edge, but it is difficult to detect the edge because of ambiguity of representations, noise and general problems in the interpretation of tire image. Therefore, in his paper, the fuzzy property plane has been extracted from the spatial domain using the ramp-mapping function. And then the ideas of fuzzy MIN and MAX are applied in removing noise and enhancement of the image simultaneously. From the result of MIN and MAX procedure a new fuzzy singleton is generated by extracting the difference between adjacent membership function values. And the edges are extracted by applying fuzzy $\alpha$-cut set to the fuzzy singletion, Finally, these ideas are applied to the tire images.

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Color Enhancement in Images with Single CCD camera in Night Vision Environment

  • Hwang, Wonjun;Ko, Hanseok
    • Proceedings of the IEEK Conference
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    • 2000.07a
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    • pp.58-61
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    • 2000
  • In this paper, we describe an effective method to enhance the color night images with spatio-temporal multi-scale retinex focused to the Intelligent Transportation System (ITS) applications such as in the single CCD based Electronic Toll Collection System (ETCS). The basic spatial retinex is known to provide color constancy while effectively removing local shades. However, it is relatively ineffective in night vision enhancement. Our proposed method, STMSR, exploits the iterative time averaging of image sequences to suppress the noise in consideration of the moving vehicles in image frame. In the STMSR method, the spatial term makes the dark images distinguishable and preserves the color information day and night while the temporal term reduces the noise effect for sharper and clearer reconstruction of the contents in each image frame. We show through representative simulations that incorporating both terms in the modeling produces the output sequential images visually more pleasing than the original dim images.

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Spectral Modeling Synthesis of Haegeum using GPU (GPU를 이용한 해금의 스펙트럼 모델링)

  • Islam, Md Shohidul;Islam, Md Rashedul;Farid, Fahmid Al;Kim, Jong-Myon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2014.01a
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    • pp.5-8
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    • 2014
  • This paper presents a parallel approach of formant synthesis method for haegeum on graphics processing units (GPU) using spectral modeling. Spectral modeling synthesis (SMS) is a technique that models time-varying spectra as a combination of sinusoids and a time-varying filtered noise component. A second-order digital resonator by the impulse-invariant transform (IIT) is applied to generate deterministic components and the results are band-pass filtered to adjust magnitude. The noise is calculated by first generating the sinusoids with formant synthesis, subtracting them from the original sound, and then removing some harmonics remained. The synthesized sounds are consequently by adding sinusoids, which are shown to be similar to the original Haegeum sounds. Furthermore, GPU accelerates the synthesis process enabling- real time music synthesis system development, supporting more sound effect, and multiple musical sound compositions.

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Comparison test for PD measuring about UHF-sensor and HFCT-sensor in cable joint-box of MV grade (MV급 케이블 중간접속부의 PD 측정을 위한 UHF-센서와 HFCT-센서의 비교시험)

  • Shin, Dong-Hoon;Lee, Yong-Sung;Kim, Jung-Yoon;Yang, Jong-Seok;Park, Noh-Joon;Park, Dae-Hee
    • Proceedings of the KIEE Conference
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    • 2006.07c
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    • pp.1511-1512
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    • 2006
  • In this paper, we measured PD signals from artificial surface defects and corona discharges under laboratory circumstances like the fields using both HFCT-sensor and UHF-sensor for MV grade XLPE cable with AMP, spectrum analyzer and oscilloscope. Also, detected signals were analyzed via PRPDA system in this paper. As a result, in this case of HFCT-sensor, the amount of background noise are larger than as compared to UHF-sensor. There is needed some hardware or software or software algorithm removing background noise effectively for diagnosis the underground power transmission cable in the case of HFCT-sensor.

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Analogue type Starter of Single Phase Induction Motor Removing Noise and Arc (소음과 불꽃을 제거한 단상유도전동기의 아날로그식 기동기 설계)

  • Park Su-Kang;Cho Geum-Bae;Baek Hyung-Lae;Lim Yang-Su;Lee Sung-Kil;Lim Jong-Yeun
    • Proceedings of the KIPE Conference
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    • 2001.07a
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    • pp.654-656
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    • 2001
  • This research used triac that is semi-conductor that act to static contact to overcome happened shortcoming been using mechanical centrifugal force switch usually Detect starting current of single phase induction motor and decided moving time. Therefore, could improve life of switch semipermanently. Also, wish to reduced impact that electric motor suffers at the starting moment and do stable starting which there is no life improvement and noise of electric motor itself, arc.

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Structural Dynamics Modification for a Large Structure using Component Mode Synthesis Methods (구조합성법을 이용한 큰 구조물에서의 구조동특성변경법)

  • Lee, Moon-Seok;Park, Youn-Sik;Park, Young-Jin
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2005.11a
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    • pp.852-855
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    • 2005
  • Structural Dynamic Modification(SDM) is a technique to improve structure's dynamic characteristics by adding and removing substructures or changing material properties and shape of structures. This paper describes SDM techniques applied to a large structure with too many DOFs. The goal of this SDM technique is to modify a targe structure efficiently for its natural frequencies to avoid excitation frequencies. In this case, models reduced by Component Mode Synthesis(CMS) method that is a coupling technique are used to analyze a large structure efficiently. This paper considers a helicopter deck model with 55,000 DOFs as an application.

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