• Title/Summary/Keyword: 복원성능평가

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Performance Evaluation of Rcentering Smart Damper by Pre-Compression of Polyurethane (폴리우레탄 선압축량에 따른 자동복원 스마트 감쇠장치의 일축반복하중에 대한 성능 평가)

  • Jang, Heemyung
    • Journal of Urban Science
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    • v.11 no.1
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    • pp.1-8
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    • 2022
  • As the magnitude and frequency of earthquakes increase in Korea, interest in earthquake damage reduction technology has increased. Therefore, research on vibration damping devices that directly respond to seismic loads is being actively researched. After an earthquake, damage or destruction of the device occurs due to the yield of materials, and thus it takes considerable cost and time for restoration and replacement. To supplement the problems of the existing earthquake damage reduction technology, a study was conducted on the recentering smart damper that can be used continuously after an earthquake. In this study, the recentering smart damper that can be restored to its original shape after load removal was developed using superelastic shape memory alloy, pre-compressed polyurethane. General steel was commonly applied to verify the seismic performance of the superelastic shape memory alloy, and the performance of the smart damper was verified according to the amount of polyurethane pre-compressed

Low-complexity Sampling Set Selection for Bandlimited Graph Signals (대역폭 제한 그래프신호를 위한 저 복잡도 샘플링 집합 선택 알고리즘)

  • Kim, Yoon Hak
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.12
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    • pp.1682-1687
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    • 2020
  • We study the problem of sampling a subset of nodes of graphs for bandlimited graph signals such that the signal values on the sampled nodes provide the most information in order to reconstruct the original graph signal. Instead of directly minimizing the reconstruction error, we focus on minimizing the upper bound of the reconstruction error to reduce the complexity of the selection process. We further simplify the upper bound by applying useful approximations to propose a low-weight greedy selection process that is iteratively conducted to find a suboptimal sampling set. Through the extensive experiments for various graphs, we inspect the performance of the proposed algorithm by comparing with different sampling set selection methods and show that the proposed technique runs fast while preserving a competitive reconstruction performance, yielding a practical solution to real-time applications.

Restoration of Missing Data in Satellite-Observed Sea Surface Temperature using Deep Learning Techniques (딥러닝 기법을 활용한 위성 관측 해수면 온도 자료의 결측부 복원에 관한 연구)

  • Won-Been Park;Heung-Bae Choi;Myeong-Soo Han;Ho-Sik Um;Yong-Sik Song
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.29 no.6
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    • pp.536-542
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    • 2023
  • Satellites represent cutting-edge technology, of ering significant advantages in spatial and temporal observations. National agencies worldwide harness satellite data to respond to marine accidents and analyze ocean fluctuations effectively. However, challenges arise with high-resolution satellite-based sea surface temperature data (Operational Sea Surface Temperature and Sea Ice Analysis, OSTIA), where gaps or empty areas may occur due to satellite instrumentation, geographical errors, and cloud cover. These issues can take several hours to rectify. This study addressed the issue of missing OSTIA data by employing LaMa, the latest deep learning-based algorithm. We evaluated its performance by comparing it to three existing image processing techniques. The results of this evaluation, using the coefficient of determination (R2) and mean absolute error (MAE) values, demonstrated the superior performance of the LaMa algorithm. It consistently achieved R2 values of 0.9 or higher and kept MAE values under 0.5 ℃ or less. This outperformed the traditional methods, including bilinear interpolation, bicubic interpolation, and DeepFill v1 techniques. We plan to evaluate the feasibility of integrating the LaMa technique into an operational satellite data provision system.

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.

Performance Analysis of CDMA/QPSK System for Watermarked Image Transmission (CDMA/QPSK 시스템에서의 워터마킹된 영상전송에 대한 성능 평가)

  • 조송백;강희조;이말례
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2003.10a
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    • pp.86-89
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    • 2003
  • 본 논문에서는 CDMA/QPSK 시스템을 이용하여 워터마크가 삽입된 영상 정보 데이터를 다중경로 채널환경에서 전송했을 때 미치는 데이터 손실을 분석하고 에러정정부호 중의 하나인 컨볼루션 기법을 이용하여 성능 개선 정도를 평가하였다. 무선 채널 환경으로써 ITU-R M.1225에서 제시한 시스템 모델링 파라미터중 하나인 보행자 이동 환경의 파라미터를 이용하여 압축된 영상 정보가 전송되었을 때 복원된 영상을 분석하였다.

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Color Restoration Method Using the Dichromatic Reflection Model for Low-light-level Environments (저조도 환경에 적합한 이색도 반사 모델을 이용한 색 복원 기법)

  • Lee, Woo-Ram;Jun, WooKyoung;Jun, Byoung-Min
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.12
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    • pp.7324-7330
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    • 2014
  • Color distortion of the dark images acquired under a low-light-level environment with a weak light source can be cause of the performance decreation of various vision systems. Therefore, recovering the original color of the images is an important process for enhancing the performance of the system. For this, this study proposes a color restoration method using a dichromatic reflection model. This paper assumes that the dark images can be classified into two parts affected by specular or diffuse reflection. Two different color constancy methods were then applied to the images to remove the effects of each reflection and two images were created as a result. The resulting images produced a one color-corrected image by combining with different weights according to the position in the images. For the performance evaluation, this paper used a synthesized image, and considered the Euclidean distance and angular error as an evaluation factor. In addition, a performance comparison was performed with the existing various color constancy method to achieve the objectivity of evaluation. The experimental results showed that the proposed method can be a more suitable solution for color restoration than the existing method.

Error Resilience Coding Techniques for Mobile Videotelephony (모바일 화상통신을 위한 오류강인 부호화 기법)

  • Suh, Jae-Won
    • The Journal of the Korea Contents Association
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    • v.7 no.12
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    • pp.303-310
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    • 2007
  • Compressed video bitstreams are intended for real-time transmission over communication networks. Because video compression algorithms eliminate the temporal, spatial, and statistical redundancies, the coded video bitstreams are very sensitive to transmission errors. We propose an error resilient video coding technique to limit the effect of error propagation in low bit-rate video coding. The success of error resilient coding techniques relies on how accurately the transmission errors can be detected. To detect the transmission error, we propose a very simple error detection technique based on data hiding Next, we conceal the corrupted MB data using intra MB refresh and motion compensation with the estimated motion vector and compare the simulation results. This method will be useful in video communication in error Prone environment such as WCDMA networks.

Sampling Set Selection Algorithm for Weighted Graph Signals (가중치를 갖는 그래프신호를 위한 샘플링 집합 선택 알고리즘)

  • Kim, Yoon Hak
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.1
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    • pp.153-160
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    • 2022
  • A greedy algorithm is proposed to select a subset of nodes of a graph for bandlimited graph signals in which each signal value is generated with its weight. Since graph signals are weighted, we seek to minimize the weighted reconstruction error which is formulated by using the QR factorization and derive an analytic result to find iteratively the node minimizing the weighted reconstruction error, leading to a simplified iterative selection process. Experiments show that the proposed method achieves a significant performance gain for graph signals with weights on various graphs as compared with the previous novel selection techniques.

Performance Analysis of Bath Fractal Image Compression (Bath Fractal 변환에 의한 영상압축 기법의 성능 분석)

  • 강현철;문영식
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1996.06a
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    • pp.187-190
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    • 1996
  • 본 논문은 고속의 프랙탈 영상압축 기법으로 알려져 있는 Bath 프랙탈 영상 압축 기법의 성능을 여러 가지 측면에서 분석한다. Bath 프랙탈 영상 압축 기법은 영상의 빠른 복호화가 가능하므로 미래의 다양한 형태로 요구되는 정보서비스, VOD(Video On Demand), CD-ROM 등과 같이 저장되어 있는 영상 정보의 빠른 복원이 요구되는 곳에 적합한 부호화 기술이므로 그 성능에 대한 분석이 중요하다. 본 논문에서는 Bath 프랙탈 압축 기법의 양자화 방법에 따른 성능 분석, 프랙탈 계수 값의 분포에 따른 성능 평가, 사용된 어핀 맵핑식에 따른 성능 비교, 영상내의 에지 빈도수에 따른 성능 변화, 쿼드트리 구조의 작은 블록들에 대한 BFT의 성능 평가 등을 고찰한다.

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