• Title/Summary/Keyword: 둘레

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Development of the Slim-fit Formal Pants Pattern for Middle-aged Men (중년 남성 정장 슬림 핏 팬츠 패턴 개발에 관한 연구)

  • Yang, Chung-Eun
    • Journal of the Korean Society of Clothing and Textiles
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    • v.35 no.1
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    • pp.26-36
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    • 2011
  • The study analyzes the development of slim-fit formal pants patterns for middle-aged men. This study suggests a new pattern that complements the problems of the existing fit on the basis of the standard nude size for middle-aged men with lower garments through the analyses of one-tuck pants patterns from 5 popular brands. As a result, the waistline is lowered by 0.8cm out of consideration for the waist circumference. The crotch extension is reduced by 1.5cm, the back crotch length is revised, the center back waist point is raised by 0.9cm, and the hip line is straightened. The slim-fit is perfected of the new lines from the thigh to knee-line.

Quasi-Cyclic Low-Density Parity-Check Codes with Large Girth Based on Euclidean Geometries (유클리드 기하학 기반의 넓은 둘레를 가지는 준순환 저밀도 패리티검사 코드)

  • Lee, Mi-Sung;Jiang, Xueqin;Lee, Moon-Ho
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.47 no.11
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    • pp.36-42
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    • 2010
  • This paper presents a hybrid approach to the construction of quasi-cyclic (QC) low-density parity-check (LDPC) codes based on parallel bundles in Euclidean geometries and circulant permutation matrices. Codes constructed by this method are shown to be regular with large girth and low density. Simulation results show that these codes perform very well with iterative decoding and achieve reasonably large coding gains over uncoded system.

Feature Parameter Extraction for Shape Information Analysis of 2-D Moving Object (2-D 이동물체의 형태 정보 분석을 위한 특징 파라미터 추출)

  • 김윤호;이주신
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.16 no.11
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    • pp.1132-1142
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    • 1991
  • This paper proposed a method of feature parameter extraction for shape information analysis of moving object. In the 2-D plane, moving object are extracted by the difference method. Feature parameters of moving object are chosen area, perimeter, a/p ratio, vertex, x/y ratio. We changed brightness variation from the range of 600Lux to the 1400Lux and then determined Permissible Error range of feature parameter due to the brightness variation. So as to verify the validity of proposed method, experiment are performed with a toy car and it's results showed that decision error was less than 6%.

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