• Title/Summary/Keyword: wavelet technique

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The Diagnosis technique of Partial Discharges using Antenna (안테나를 이용한 부분방전의 진단기병에 관한 연구)

  • Kim, Young-No;Kim, Jae-Chul;Jeon, Young-Jae;Seo, In-Chul
    • Proceedings of the KIEE Conference
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    • 2001.05a
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    • pp.217-219
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    • 2001
  • This paper presents new diagnosis technique for detecting a partial discharge(PD) using antenna. The wavelet transform is applied for the analysis of PD pulse signal because it is difficult to identify PD signal using electromagnetic waves detected by antenna. The capabilities of the proposed diagnosis methodology for detecting PD signal is verified on experiment in laboratory.

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Contrast Enhancement for X-ray Images Based on Combined Enhancement of Scaling and Wavelet Coefficients (웨이브렛과 기저 계수를 이용한 X-ray 영상의 대조도 향상기법)

  • Park, Chun-Joo;Kim, Do-Il;Jang, Do-Yoon;Yoon, Han-Been;Choe, Bo-Young;Kim, Ho-Kyung;Lee, Hyoung-Koo
    • Progress in Medical Physics
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    • v.19 no.3
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    • pp.150-156
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    • 2008
  • An applied technique of contrast enhancement for X-ray image is proposed which is based on combined enhancement of scaling and wavelet coefficients in discrete wavelet transform space. Conventional contrast enhancement methods such as contrast limited adaptive histogram equalization (CLAHE), multi-scale image contrast amplification (MUSICA) and gamma correction were applied on scaling coefficients to enhance the contrast of an original. In order to enhance the detail as well as reduce the blurring caused by up scaling of contrast modified scale coefficients from lower resolution, the sigmoid manipulation function was used to manipulate wavelet coefficients. The contrast detail mammography (CDMAM) phantom was imaged and processed to measure the image line profile of results and contrast to noise ratio (CNR) comparatively. The proposed technique produced better results than direct application of various contrast enhancement methods on image itself. The proposed method can enhance contrast, and also suppress the amplification of noise components in a single process. It could be useful for various applications in medical, industrial and graphical images where contrast and detail are of importance.

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Spatial Selectivity Estimation using Cumulative Wavelet Histograms (누적밀도 웨이블릿 히스토그램을 이용한 공간 선택율 추정)

  • Chi, Jeong-Hee;Jeong, Jae-Hyuk;Ryu, Keun-Ho
    • Journal of KIISE:Databases
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    • v.32 no.5
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    • pp.547-557
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    • 2005
  • The purpose of selectivity estimation is to maintain the summary data in a very small memory space and to minimize the error of estimated value and query result. In case of estimating selectivity for large spatial data, the existing works need summary information which reflect spatial data distribution well to get the exact result for query. In order to get such summary information, they require a much memory space. Therefore In this paper, we propose a new technique cumulative density wavelet Histogram, called CDW Histogram, which gets a high accurate selectivity in small memory space. The proposed method is to utilize the sub-histograms created by CD histogram. The each sub-histograms are used to generate the wavelet summary information by applying the wavelet transform. This fact gives us good selectivity even if the memory sire is very small. The experimental results show that the proposed method simultaneously takes full advantage of their strong points - gets a good selectivity using the previous histogram in ($25\%\~50\%$) memory space and is superior to the existing selectivity estimation techniques. The proposed technique can be used to accurately quantify the selectivity of the spatial range query in databases which have very restrictive memory.

Priority based Image Transmission Technique with DPCM in Wireless Multimedia (무선 멀티미디어 센서 네트워크에서 예측부호화를 통한 우선순위 기반 이미지 전송 기법)

  • Lee, Joa-Hyoung;Jung, In-Bum
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.4
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    • pp.1023-1031
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    • 2010
  • With recent advances in hardware and wireless communication techniques, wireless multimedia sensor network which collects multimedia data through wireless sensor network has started to receive a lot of attentions from many researchers. Wireless multimedia sensor network requires a research of efficient compression and transmission to process the multimedia data which has large size, in the wireless sensor network that has very low network bandwidth. In this paper, we propose PIT protocol for the transmission based on the priority that classified by the DPCM compression. The PIT protocol sets different priority to the each subbands which are divided by the wavelet transform. The PIT protocol transmits the data with higher priority to guarantee the high image quality. The PIT protocol uses the characteristic of wavelet transform that the transformed image is very insensible to the data loss. In PIT protocol, each subbands of wavelet transformed image has fair weight in the compressed image to utilize the prioriy based transmission. The experiment results show that the PIT protocol improves the quality of image in spite of data loss.

A Study on a Seismic Detection Technology for High-speed Railway Considering Site Response Characteristics (성토 구간 지반 응답을 고려한 열차 내 지진 감지 기술 개발 연구)

  • Yoo, Mintaek;Moon, Jae Sang;Park, Byoungsun;Yoo, Byoung Soo
    • Journal of the Korean Geotechnical Society
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    • v.36 no.10
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    • pp.41-56
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    • 2020
  • For the rapid and accurate warning, the system requires not only the sufficient number of seismometers but also the appropriate detection technique of sensor data. Instead of installing new seismometers, on-board accelerometers of the train could be utilized as alternatives. However, the data from on-board accelerometers includes train vibrations and the response of embankment site by earthquake, which are different from earthquakes measured from the seismometer. This study suggests signal analysis technique to detect earthquake from the on-board accelerometer data. The virtual on-board accelerometer data including the response of embankment site, obtained from site response analysis method, has been constructed. The constructed data has been analyzed using short time Fourier transform (STFT) and wavelet transform (WT). STFT method provides better performance to detect long-period earthquake whereas WT method is more available to detect short-period earthquake.

Analysis of Abnormal Wave at the West Coast on 31 March 2007 (2007년 3월 31일 서해안에 발생한 이상파랑에 대한 원인 분석)

  • Eom, Hyun-Min;Seung, Young-Ho;Woo, Seung-Buhm;You, Sung-Hyup
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.24 no.3
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    • pp.217-227
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    • 2012
  • On 31 March 2007, the abnormal wave occurred along western coast of Korean including Yeonggwang. In this paper, this event is studied using available field measurement data for the event analysis and numerical model for reproducing the unknown waves. We found several 1-min interval tidal elevation and mean sea level pressure (MSLP) data along the western coast of Korea and analyzed it using wavelet technique. We computed the arrival time and the propagation direction of abnormal wave using wavelet results and performed the numerical simulation using 2 dimensional shallow water wave model. The sea level under the forcing of air pressure jump was obviously amplified by the Proudman resonant effect. The computed sea levels compared with observations are underestimated, but the order of arrival time at the tidal station showed good agreement.

MRBR-based JPEG2000 Codec for Stereoscopic Image Compression of 3-Dimensional Digital Cinema (3차원 디지털 시네마의 스테레오 영상 압축을 위한 MRBR기반의 JPEG2000 코덱)

  • Seo, Young-Ho;Sin, Wan-Soo;Choi, Hyun-Jun;Yoo, Ji-Sang;Kim, Dong-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.12
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    • pp.2146-2152
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    • 2008
  • In In this paper, we proposed a new JPEG2000 codec using multiresolution-based rendering (MRBR) technique for video compression of 3-dimensional digital cinema. We introduced discrete wavelet transform (DWT) for stereoscopic image and stereo matching technique in the wavelet domain. The disparity was extracted using stereo matching and transmitted with the reference (left) image. Since the generated right image was degraded by the occlusion lesion, the residual image which is generated from difference between the original right image and the generated one was transmitted at the same tine. The disparity data was extracted using the dynamic programming method in the disparity domain. There is high correlation between the higher and lower subbands. Therefore we decreased the calculation amount and enhanced accuracy by restricting the search window and applying the disparity information generated from higher subband.