• Title, Summary, Keyword: common measure

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A Study on the Production of Made-to-measure Clothes for Middle-aged Women - Focused on Ready-to-wear Manufacturers - (중년여성복(中年女性服)의 맞춤생산(生産)에 대(對)한 실태연구(實態硏究) - 기성복업체(旣成服業體)를 중심(中心)으로 -)

  • Kim, So-Ra
    • Journal of Fashion Business
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    • v.5 no.4
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    • pp.1-13
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    • 2001
  • The purpose of this study was to research production situation of made-to-measure clothes of ready-towear manufacturers for middle-aged women. This study will be the basis of developing production model of mass customized clothing for middle-aged women. For the questionnaire, 18 ready-to-wear manufacturers, which were producing made-to-measure clothes and in higher ranking of sales, were selected and the pattern makers of the manufacturers were questioned about 29 items for this research. The results of the questionnaire were as follows: 1. The production ratio of made-to-measure clothes was increasing and most manufacturers have problems making fitted clothes for each customer. 2. The most common reason to order made-to-measure clothes was the sizes according to the various somatotypes and the proportion difference of a body. 3. The common somatotypes of upper body for made-to-measure clothes were obesity, large bust, bent forward posture, and leaning back posture. 4. The common somatotypes of lower body for made-to-measure clothes were obesity, prominent abdomen, prominent abdomen-prominent hip, and prominent hip. 5. Pattern making for made-to-measure clothes was to use production patterns or make new patterns.

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Measure Correlation Analysis of Network Flow Based On Symmetric Uncertainty

  • Dong, Shi;Ding, Wei;Chen, Liang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.6 no.6
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    • pp.1649-1667
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    • 2012
  • In order to improve the accuracy and universality of the flow metric correlation analysis, this paper firstly analyzes the characteristics of Internet flow metrics as random variables, points out the disadvantages of Pearson Correlation Coefficient which is used to measure the correlation between two flow metrics by current researches. Then a method based on Symmetrical Uncertainty is proposed to measure the correlation between two flow metrics, and is extended to measure the correlation among multi-variables. Meanwhile, the simulation and polynomial fitting method are used to reveal the threshold value between different correlation degrees for SU method. The statistical analysis results on the common flow metrics using several traces show that Symmetrical Uncertainty can not only represent the correct aspects of Pearson Correlation Coefficient, but also make up for its shortcomings, thus achieve the purpose of measuring flow metric correlation quantitatively and accurately. On the other hand, reveal the actual relationship among fourteen common flow metrics.

Document Clustering with Relational Graph Of Common Phrase and Suffix Tree Document Model (공통 Phrase의 관계 그래프와 Suffix Tree 문서 모델을 이용한 문서 군집화 기법)

  • Cho, Yoon-Ho;Lee, Sang-Keun
    • The Journal of the Korea Contents Association
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    • v.9 no.2
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    • pp.142-151
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    • 2009
  • Previous document clustering method, NSTC measures similarities between two document pairs using TF-IDF during web document clustering. In this paper, we propose new similarity measure using common phrase-based relational graph, not TF-IDF. This method suggests that weighting common phrases by relational graph presenting relationship among common phrases in document collection. And experimental results indicate that proposed method is more effective in clustering document collection than NSTC.

An Enhancement of Channel Separability for Stereophonic Signals by Common Mode Rejection Method (동상분 제거에 의한 입체음향의 채널 분리도 개선)

  • Kwon, Ho-Yeol
    • Journal of Industrial Technology
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    • v.18
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    • pp.439-442
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    • 1998
  • In this paper, we firstly suggested C&D (Common mode and Differential mode) model for the representation of a stereophonic signal. Then a measure of stereophonic channel separability is defined as the ratio of differential mode energy to total energy in frequency domain. After that, a new channel separability enhancement scheme is proposed by the control of common mode rejection. Finally, some experimental results are presented in order to verify our scheme.

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Distribution and abundance of wintering raptors in the Korean peninsula

  • Lee, Sangdon
    • Journal of Ecology and Environment
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    • v.36 no.4
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    • pp.211-216
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    • 2013
  • The purpose of this study is to examine distribution and abundance of wintering raptors in Korea during 2000-2007 which is a rare data set for covering large landscape areas. Total 6,643 raptors of 16 species were recorded at 94 different points in west, south and east coasts, and rivers of inland areas all over Korea. During the study period, the most abundant raptors were black vulture (Aegypius monachus, 62.3%), common kestrel (Falco tinnunculus, 11.0%) and common buzzard (Buteo buteo, 10.0%), and these 3 birds were dominant species in inland areas and also considered as resident species except for black vulture. Also, there was a difference among 5 different habitat types. Black vultures were most found in estuaries whereas common buzzard and common kestrel could be found in coastal areas. Presumably raptors prefer reservoirs and estuaries probably due to lower human disturbance in these areas, and management efforts should be concentrated in inland areas for black vulture and coastal areas for common kestrel and common buzzard.

Displacement Measurement of Multi-point Using a Pattern Recognition from Video Signal (영상 신호에서 패턴인식을 이용한 다중 포인트 변위측정)

  • Jeon, Hyeong-Seop;Choi, Young-Chul;Park, Jong-Won
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.18 no.12
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    • pp.1256-1261
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    • 2008
  • This paper proposes a way to measure the displacement of a multi-point by using a pattern recognition from video signal. Generally in measuring displacement, gab sensor, which is a displacement sensor, is used. However, it is difficult to measure displacement by using a common sensor in places where it is unsuitable to attach a sensor, such as high-temperature areas or radioactive places. In this kind of places, non-contact methods should be used to measure displacement and in this study, images of CCD camera were used. When multi-point is measure by using a pattern recognition, it is possible to measure displacement with a non-contact method. It is simple to install and multi-point displacement measuring device so that it is advantageous to solve problems of spatial constraints.

Displacement Measurement of Multi-Point Using a Pattern Recognition from Video Signal (영상 신호에서 패턴인식을 이용한 다중 포인트 변위측정)

  • Jeon, Hyeong-Seop;Choi, Young-Chul;Park, Jong-Won
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • pp.675-680
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    • 2008
  • This paper proposes a way to measure the displacement of a multi-point by using a pattern recognition from video signal. Generally in measuring displacement, gab sensor, which is a displacement sensor, is used. However, it is difficult to measure displacement by using a common sensor in places where it is unsuitable to attach a sensor, such as high-temperature areas or radioactive places. In this kind of places, non-contact methods should be used to measure displacement and in this study, images of CCD camera were used. When displacement is measure by using camera images, it is possible to measure displacement with a non-contact method. It is simple to install and multi-point displacement measuring device so that it is advantageous to solve problems of spatial constraints.

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Social Network Analysis using Common Neighborhood Subgraph Density (공통 이웃 그래프 밀도를 사용한 소셜 네트워크 분석)

  • Kang, Yoon-Seop;Choi, Seung-Jin
    • Journal of KIISE:Computing Practices and Letters
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    • v.16 no.4
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    • pp.432-436
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    • 2010
  • Finding communities from network data including social networks can be done by clustering the nodes of the network as densely interconnected groups, where keeping interconnection between groups sparse. To exploit a clustering algorithm for community detection task, we need a well-defined similarity measure between network nodes. In this paper, we propose a new similarity measure named "Common Neighborhood Sub-graph density" and combine the similarity with affinity propagation, which is a recently devised clustering algorithm.

Identification Performance of Low-Molecular Compounds by Searching Tandem Mass Spectral Libraries with Simple Peak Matching

  • Milman, Boris L.;Zhurkovich, Inna K.
    • Mass Spectrometry Letters
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    • v.9 no.3
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    • pp.73-76
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    • 2018
  • The number of matched peaks (NMP) is estimated as the spectral similarity measure in tandem mass spectral library searches of small molecules. In the high resolution mode, NMP provides the same reliable identification as in the case of a common dot-product function. Corresponding true positive rates are ($94{\pm}3$) % and ($96{\pm}3$) %, respectively.

A Direct Inversion Method to Remotely Measure the Concentration Profile of Suspended Sediment Using Acoustic Backscatterance

  • Lee, Tae-Hwan
    • Proceedings of the Korean Society of Coastal and Ocean Engineers Conference
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    • pp.48-50
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    • 1995
  • The use of acoustics to measure the concentration profile of suspended sediment become increasing common. Field studies have shown the usefulness of remotely measuring the suspended sediment concentration with high spatial and temporal resolution. Techniques that allow for the conversion of the backscattered acoustic intensity into suspended sediment concentration have been developed concurrent with instrumentation. (omitted)

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