• Title/Summary/Keyword: Sun block

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Accurate Prediction of VVC Intra-coded Block using Convolutional Neural Network (VVC 화면 내 예측에서의 딥러닝 기반 예측 블록 개선을 통한 부호화 효율 향상 기법)

  • Jeong, Hye-Sun;Kang, Je-Won
    • Journal of Broadcast Engineering
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    • v.27 no.4
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    • pp.477-486
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    • 2022
  • In this paper, we propose a novel intra-prediction method using convolutional neural network (CNN) to improve a quality of a predicted block in VVC. The proposed algorithm goes through a two-step procedure. First, an input prediction block is generated using one of the VVC intra-prediction modes. Second, the prediction block is further refined through a CNN model, by inputting the prediction block itself and reconstructed reference samples in the boundary. The proposed algorithm outputs a refined block to reduce residual signals and enhance coding efficiency, which is enabled by a CU-level flag. Experimental results demonstrate that the proposed method achieves improved rate-distortion performance as compared a VVC reference software, I.e., VTM version 10.0.

Synthesis of PLLA-block-PMMA Copolymer and Characteristics of Biaxially Oriented PLA Film Including the Same (PLLA-block-PMMA 공중합수지의 합성 및 이를 포함하는 PLA 이축연신 필름의 특성)

  • Kim, Moon-Sun;Lee, Sangeun
    • Applied Chemistry for Engineering
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    • v.26 no.3
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    • pp.251-258
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    • 2015
  • In the study, PLLA with 12,000 g/mol ($M_n$) and 14,000 g/mol ($M_w$) was synthesized from L-lactide, and used to synthesize PLLA-Br intermediate. PLLA-block-PMMA with 84,000 g/mol ($M_n$) and 126,000 g/mol ($M_w$) was finally synthesized from PLLA-Br intermediate. The glass transition temperature ($T_g$) and initial pyrolysis temperature of PLLA-block-PMMA are $95.5^{\circ}C$ and $289^{\circ}C$, respectively. The PLA film of $50{\pm}3{\mu}m$ thickness was prepared by blending PLA with 9 phr PLLA-block-PMMA followed by stretching biaxially at 3 times under $95^{\circ}C$, and annealing at $120^{\circ}C$ for 2 min. The light transmittance at 550 nm and tensile strength of the film are 88.5% and 44.5 MPa, respectively. To enhance the tensile strength of PLA film, it was required to keep the film more than 2 min at $120^{\circ}C$ during the annealing step after a biaxially orientation.

Mapping Block Information Recovery

  • Abdulhadi, Alahmadi;Chung, Tae Sun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.04a
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    • pp.506-507
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    • 2015
  • Our scheme going to use the advanteges of shadow technical and use it in flash memory. With our scheme we can maintain the system from corruption by making a capy table for table mappinng. It is make us to recover the data easily when something unusually happen to the system.

Micro-patterning of Multi-layered Magnetic Metal Films Using Nd:YAG Laser (Nd:YAG Laser를 이용한 자성금속 막의 패턴 식각)

  • Chae, Sang-Hun;Seo, Yeong-Jun;Song, Jae-Seong;Min, Bok-Gi;An, Seung-Jun;Lee, Ju-Hyeon
    • Korean Journal of Materials Research
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    • v.10 no.2
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    • pp.171-174
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    • 2000
  • In this study, the laser patterning of sputter-deposited amorphous CoNbZr films has been tried usig Nd: YAG laser. However, the metal film was not removed because of its high reflectance of the alser on the metal surface. To solve this problem, authors tried to screen-print a block polymer on the metal film and then irradiate the laser on the polymer. This is a new method which was suggested by this study. Using this new method, the metal films were effectively removed with the laser power of 114W even though the metal films was not removed with the laser power of 332W using the conventional method. This result leads to the conclusion that the block polymer acts as a laser energy absorbing and transferring layer.

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Template Check and Block Matching Method for Automatic Defects Detection of the Back Light Unit (BLU의 자동결함검출을 위한 템플레이트 검사와 블록매칭 방법)

  • Cho SangHee;Han ChangHo;Oh ChoonSuk;Ryu YoungKee
    • Proceedings of the Korean Information Science Society Conference
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    • 2005.07b
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    • pp.793-795
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    • 2005
  • 본 논문에서는 자동결함검출 방법으로 돌출 함몰, 점 등과 같은 작은 결항들을 검출하기 위해 모폴로지의 닫힘, 열림 방법을 이용하는 템플레이트 검사 방법을 사용하였고, 얼룩, 스크래치와 같은 큰 결함을 검출하기 위해 영상에서 격자와 같은 일정한 블록을 형성하여 각 블록을 비교하여 결함을 찾는 블록매칭 방법을 사용하였다. 또한 이 알고리즘을 적용한 결과 결함 검출에 좋은 성능이 있음을 보여준다. 제안된 알고리즘은 자체 개발한 장비에서 실제 BLU의 영상을 얻어 테스트를 하였다.

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