• Title/Summary/Keyword: 자기복원

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Effect of Initial Flexural Crack on Resistance to Chloride Penetration into Reinforced Concrete Members (초기 휨균열이 철근콘크리트 부재의 염화물침투저항성에 미치는 영향)

  • Yang, Eun Ik;Jin, Sang Ho;Kim, Myung Yu;Choi, Yoon Suk;Han, Sang Hun
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.15 no.2
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    • pp.79-87
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    • 2011
  • In this study, the chloride penetration tests were performed for the initially cracked reinforced concrete members. The chloride diffusion characteristics and the critical crack width are compared, and the properties of self-healing are investigated. According to the test results, the chloride penetration resistance was greatly reduced as the surface crack width increased. When the mineral admixtures are added, the chloride penetration resistance of uncracked specimens were effectively increased, however, in case of the blast furnace slag and fly ash, the cracked specimens showed the more reduced resistance than OPC case, inversely. Also, the critical width was $29{\mu}m$, on average, for immersion test. The crack width with $4{\sim}15{\mu}m$ was restored by self-healing, The parts restored by self-healing were seemed to be visually restored, however, the chloride penetration resistance was not restored, perfectly.

Properties of Paint Protection Film Containing Poly(urea-urethane)-based Self-Recovery Coating Layer (Poly(urea-urethane) 자기복원 코팅층을 가진 도장 보호필름 물성 연구)

  • Minseok Song
    • Journal of Adhesion and Interface
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    • v.24 no.2
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    • pp.69-75
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    • 2023
  • Recently, the application of paint protection films (PPFs) for automobiles having a self-recovery coating layer has been grown up. In this study, we report the evaluation results on the basic physical properties of a poly(vinyl chloride)- based PPF containing poly(urea-urethane) hybrid self-recovery coating layer. Depending on the main chemical composition and the thickness of poly(urea-urethane)-based coating layer for PPF, the self-recovery performance by an optical microscope and the stain resistance through color difference value are measured. To improve the surface properties and show its easy-cleaning effect against the polluted things, silicone-modified polyacrylate is introduced to the self-recovery coating composition. The contact angle of water on the coated surface is confirmed to show its hydrophobic surface. Finally, accelerated weathering test of paint protection film with poly(urea-urethane) hybrid coating layer is performed to check the possibility of discoloration and deformation due to long-term exposure on harsh condition.

Face Super Resolution using Self-Supervised Learning (자기 지도 학습을 통한 고해상도 얼굴 영상 복원)

  • Jo, Byung-Ho;Park, In Kyu
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2020.07a
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    • pp.724-726
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    • 2020
  • 본 논문에서는 GAN 과 자기 지도 학습(self-supervised learning)을 통해 입력 얼굴 영상의 공간 해상도를 4 배 증가시키는 기법을 제안한다. 제안하는 기법은 변형된 StarGAN v2 구조의 생성자와 구분자를 사용하여 저해상도의 입력 영상만을 가지고 학습 과정을 거쳐 고해상도 영상을 복원하도록 자기 지도 학습을 수행한다. 제안하는 기법은 복원된 영상과 고해상도 영상 간의 손실을 줄이는 지도 학습이 가지고 있는 단점을 극복하고 입력 영상만을 가지고 영상 내부에 존재하는 특징을 학습하여 얼굴 영상에 대한 고해상도 영상을 복원한다. 제안하는 기법과 Bicubic 보간법과의 비교를 통해 우수성을 검증한다.

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Convergence Property Analysis of Multiple Modulus Self-Recovering Equalization According to Error Dynamics Boosting (다중 모듈러스 자기복원 등화의 오차 역동성 증강에 따른 수렴 특성 분석)

  • Oh, Kil Nam
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.1
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    • pp.15-20
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    • 2016
  • The existing multiple modulus-based self-recovering equalization type has not been applied to initial equalization. Instead, it was used for steady-state performance improvement. In this paper, for the self-recovering equalization type that considers the multiple modulus as a desired response, the initial convergence performance was improved by extending the dynamics of the errors using error boosting and their characteristics were analyzed. Error boosting in the proposed method was carried out in proportion to a symbol decision for the equalizer output. Furthermore, having the initial convergence capability by extending the dynamics of errors, it showed excellent performance in the initial convergence rate and steady-state error level. In particular, the proposed method can be applied to the entire process of equalization through a single algorithm; the existing methods of switching over or the selection of other operation modes, such as concurrent operating with other algorithms, are not necessary. The usefulness of the proposed method was verified by simulations performed under the channel conditions with multipath propagation and additional noise, and for performance analysis of self-recovering equalization for high-order signal constellations.

Restoration, Prediction and Noise Analysis of Geomagnetic Time-series Data (시계열 지자기 측정 자료의 복원, 예측 및 잡음 분석 연구)

  • Ji, Yoon-Soo;Oh, Seok-Hoon;Suh, Baek-Soo;Lee, Duk-Kee
    • Journal of the Korean earth science society
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    • v.32 no.6
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    • pp.613-628
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    • 2011
  • Restoration, prediction and noise analysis of geomagnetic data measured in the Korean Peninsula were performed. Restoration methods based on an optimized principal component analysis (PCA) and the geostatistical kriging approach were proposed, and its effectiveness was also interpreted. The PCA-based method seemed to be effective to restore the periodical signals and the geostatistical approach was stable to fill the gaps of measurements. To analyze the noise level for each observatory, the geomagnetic time-series was plotted by scattergram which reflects the spatial variation, using data observed during same period. The scattergram showed that the observation made at Cheongyang seemed to have better quality in spatial continuity and stability, and the restoration result was also better than that of Icheon site. For the restoration, both of the methods, geostatistical and optimizaed PCA, showed stable result when the missing of observation was within 20 points. However, in case of more missing observations than 20 points and prediction problem, the optimized PCA seemed to be closer to the real observation considering the frequency-domain characteristics. The prediction using the optimized PCA seems to be plausible for one day of period for interpretation.

Self-Regularization Method for Image Restoration (영상 복원을 위한 자기 정규화 방법)

  • Yoo, Jae-Hung
    • The Journal of the Korea institute of electronic communication sciences
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    • v.11 no.1
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    • pp.45-52
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    • 2016
  • This paper suggests a new method of finding regularization parameter for image restoration problems. Wiener filter requires priori information such that power spectrums of original image and noise. Constrained least squares restoration also requires knowledge of the noise level. If the prior information is not available, separate optimization functions for Tikhonov regularization parameter are suggested in the literature such as generalized cross validation and L-curve criterion. In this paper, self-regularization method that connects bias term of augmented linear system and smoothing term of Tikhonov regularization is introduced in the frequency domain and applied to the image restoration problems. Experimental results show the effectiveness of the proposed method.

Experimental Study of Restoration material on Ceramics - Long-Necked far and Gourd-Shaped Pitcher - (토기.자기 복원재료에 대한 연구 - 목항아리와 조롱박모양주전자 -)

  • Hwang, Hyun-Sung;Lee, Hae-Soon
    • Journal of Conservation Science
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    • v.19
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    • pp.31-42
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    • 2006
  • There are many materials used in restoring missing parts of pottery and ceramics and they are used according to the each quality of materials. In our research we tried to find the new repair materials to solve many problems exposed in the existing repair materials. As a result, we made new repair materials that we properly put oven bake clays into repair epoxy putty which is being used as oven bake clays for a long time. Fortunately, through testing yellowing, vickers hardness, coloring and heating temperature, We could get an idea that new repair materials would be the best materials in the efficiency of restoration, yellowing, and coloring.

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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.

High Resolution Time Resolved Contrast Enhanced MR Angiography Using k-t FOCUSS (k-t FOCUSS 알고리듬을 이용한 고분해능 4-D MR 혈관 조영 영상 기법)

  • Jung, Hong;Kim, Eung-Yeop;Ye, Jong-Chul
    • Investigative Magnetic Resonance Imaging
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    • v.14 no.1
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    • pp.10-20
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    • 2010
  • Purpose : Recently, the Recon Challenge at the 2009 ISMRM workshop on Data Sampling and Image Reconstruction at Sedona, Arizona was held to evaluate feasibility of highly accelerated acquisition of time resolved contrast enhanced MR angiography. This paper provides the step-by-step description of the winning results of k-t FOCUSS in this competition. Materials and Methods : In previous works, we proved that k-t FOCUSS algorithm successfully solves the compressed sensing problem even for less sparse cardiac cine applications. Therefore, using k-t FOCUSS, very accurate time resolved contrast enhanced MR angiography can be reconstructed. Accelerated radial trajectory data were synthetized from X-ray cerebral angiography images and provided by the organizing committee, and radiologists double blindly evaluated each reconstruction result with respect to the ground-truth data. Results : The reconstructed results at various acceleration factors demonstrate that each components of compressed sensing, such as sparsifying transform and incoherent sampling patterns, etc can have profound effects on the final reconstruction results. Conclusion : From reconstructed results, we see that the compressed sensing dynamic MR imaging algorithm, k-t FOCUSS enables high resolution time resolved contrast enhanced MR angiography.