• Title/Summary/Keyword: Representative

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Analysis of the Motifs on Traditional Cultural Goods in Seoul and Kwang-Ju (전통 문화상품에 나타난 문양 분석 - 서울 지역과 광주 지역을 중심으로 -)

  • Choi, Seung-Youn;Lee, Mi-Sook;Shin, Youn-Sook
    • Journal of the Korean Home Economics Association
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    • v.44 no.1 s.215
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    • pp.101-113
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    • 2006
  • The purpose of this study was to investigate and compare the characteristics of the motifs on cultural goods in In-Sa-Dong Street, Seoul, with those in Art Street, City Hall, Kwang-ju. For this study, 607 cultural goods were collected from the two cities: 265 in Seoul and 342 in Kwang-ju. Total cultural goods were classified by accessories, decoration pieces, stationery and ceramics and were studied by repetition patterns, motifs types, representative techniques, and representative types. The results were as follows. First, for repetition patterns of motifs, there were 219 simple repetition patterns in Seoul, and 289 in Kwang-ju, and 46 compound repetition patterns in Seoul, and 53 in Kwang-ju. The ratio of simple repetition pattern was higher than that of compound repetition pattern in both cities. Second, for motif types, floral, animal, letter, and graphic motifs were used far more frequently than any other motif types. Third, for representative techniques, embroidery was far more frequently used than any other representative techniques. Metallic crafts, chil-bo and paper techniques were also favored. Fourth, for representative types, realistic types were more common than abstract types.

Grouping Algorithm for Custom-tailored Products (주문헝제품의 생산을 위한 집합화 알고리즘의 개발)

  • 김승엽;이건우
    • Korean Journal of Computational Design and Engineering
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    • v.7 no.2
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    • pp.131-139
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    • 2002
  • Custom-tailored products always vary their sizes and shapes to satisfy the customers' tastes and requirements but they have to be fabricated as fast as possible when ordered. One way to solve this problem is to prepare several representative products in advance and each custom-tailored product is generated by machining the closest representative product. To realize this approach, it would be necessary to be able to group the products into several groups each of which has a representative product. Once the similar products are identified to be grouped, the representative shape can be generated such that all the products in the group can be made by machining the representative product. The custom-tailored products considered in this work have similar shapes but different sizes. Since these products have free surfaces, that are hard to be compared, their convex hulls are used for the grouping. Among all the products to be grouped, one product is chosen as a base shape. The shape and overall similarity values between the base shape and the remaining shapes are calculated as their convex hulls are rotated virtually. By calculating these similarity values at each rotation, the optimal alignment of the reference shape with respect to the base shape is determined. Overall similarity value at this optimal alignment is used as a measure for grouping. A prototype system based on the proposed methodology has been implemented and used to group the shoe-lasts for custom-tailored shoes.

Determination of representative volume element in concrete under tensile deformation

  • Skarzyski, L.;Tejchman, J.
    • Computers and Concrete
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    • v.9 no.1
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    • pp.35-50
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    • 2012
  • The 2D representative volume element (RVE) for softening quasi-brittle materials like concrete is determined. Two alternative methods are presented to determine a size of RVE in concrete subjected to uniaxial tension by taking into account strain localization. Concrete is described as a heterogeneous three-phase material composed of aggregate, cement matrix and bond. The plane strain FE calculations of strain localization at meso-scale are carried out with an isotropic damage model with non-local softening.

Representative Keyword Extraction from Few Documents through Fuzzy Inference (퍼지 추론을 이용한 소수 문서의 대표 키워드 추출)

  • 노순억;김병만;허남철
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2001.12a
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    • pp.117-120
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    • 2001
  • In this work, we propose a new method of extracting and weighting representative keywords(RKs) from a few documents that might interest a user. In order to extract RKs, we first extract candidate terms and then choose a number of terms called initial representative keywords (IRKS) from them through fuzzy inference. Then, by expanding and reweighting IRKS using term co-occurrence similarity, the final RKs are obtained. Performance of our approach is heavily influenced by effectiveness of selection method of IRKS so that we choose fuzzy inference because it is more effective in handling the uncertainty inherent in selecting representative keywords of documents. The problem addressed in this paper can be viewed as the one of calculating center of document vectors. So, to show the usefulness of our approach, we compare with two famous methods - Rocchio and Widrow-Hoff - on a number of documents collections. The results show that our approach outperforms the other approaches.

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Database Construction to compute Representative Model of Load Power Factor in Large Scale Power System (대규모 전력계통의 부하역률 대표모델 산정을 위한 데이터베이스 구축)

  • Lee, Jung-Hee;Kim, Kwang-Wook;Cho, Jong-Man;Kim, Jin-O
    • Proceedings of the KIEE Conference
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    • 2002.11b
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    • pp.209-211
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    • 2002
  • This paper computes the regional, seasonal and hourly representative model of load power factor considering load characteristics of all 154/22.9 kV substations. An accurately computed representative model of load power factor is studied to present a precision improvement of power system analysis and the security of the system. The method to compute representative model of load utilizes the method of applicable moving average based on the method of flow average. The EMS data are used as the source to assess the load power factor.

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Scene Change Detection with 3-Step Process (3단계 과정의 장면 전환검출)

  • Yoon, Shin-Seong;Won, Rhee-Yang
    • Journal of the Korea Society of Computer and Information
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    • v.13 no.6
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    • pp.147-154
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    • 2008
  • First, this paper compute difference value between frames using the composed method of $X^2$ histogram and color histogram and the normalization. Next, cluster representative frame was decided by using the clustering for distance and the k-mean grouping. Finally, representative frame of group was decided by using the likelihood ratio. Proposed method can be known by experiment as outstanding of detection rather than other methods, due to computing of difference value, clustering and grouping, and detecting of representative frame.

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Shot Group and Representative Shot Frame Detection using Similarity-based Clustering

  • Lee, Gye-Sung
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.9
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    • pp.37-43
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    • 2016
  • This paper introduces a method for video shot group detection needed for efficient management and summary of video. The proposed method detects shots based on low-level visual properties and performs temporal and spatial clustering based on visual similarity of neighboring shots. Shot groups created from temporal clustering are further clustered into small groups with respect to visual similarity. A set of representative shot frames are selected from each cluster of the smaller groups representing a scene. Shots excluded from temporal clustering are also clustered into groups from which representative shot frames are selected. A number of video clips are collected and applied to the method for accuracy of shot group detection. We achieved 91% of accuracy of the method for shot group detection. The number of representative shot frames is reduced to 1/3 of the total shot frames. The experiment also shows the inverse relationship between accuracy and compression rate.

An Exploratory Research on Cognitive Factors of Urban Representative Landscape - Focused on Seoul - (도시 대표경관의 인지요인에 관한 탐색적 연구 - 서울시를 중심으로 -)

  • Lee, Chang-Yeon;Kim, Han-Bai
    • Journal of the Korean Institute of Landscape Architecture
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    • v.37 no.6
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    • pp.73-84
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    • 2010
  • The urban representative landscapes play a leading role in establishing city identity via a symbol of the city and a mediator to make the city all the more worthy of being peculiarized. The study aims at evaluating the perceptive factors in the representative landscapes around the metropolitan Seoul derived from the preliminary researches through questionnaire surveying, in an attempt to analyze their characteristics by type and reason, while further proposing progressive management plans. This study was mostly focused on the visibility factor, activity factor, aesthetic factor and cultural factor influencing on the cognition of urban representative landscapes. The important findings discovered in this research are as follows. First, it was found that people were being interested more on the cultural factors and the activity factors these days rather than visibility factors in the cognition of urban representative landscapes. Second, it was found that the priority rank of urban representative landscapes revealed in this study based on the total account of more diverse perceptive factors, showed so much alteration compared to the previous researches focused mostly upon the visual image.

Studies on Representative Body Sizes and 3D Body Scan Data of Korean Adolescents (한국 청소년의 대표 인체치수 및 3D 인체형상자료에 관한 연구)

  • Choi, Seung-il
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.2
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    • pp.227-232
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    • 2016
  • 3D body scan data are used widely in various fields to make products and living spaces for superior human body fitness. Based on the 3D measurements of human bodies for teens in Size Korea 2013, this research provides a way of finding the representative body sizes and 3D body scan data. First, a multi-dimensional vector space consisting of many measurement items was projected onto a 2D vector space with circumference and length components via factor analysis. The representative body sizes and 3D scan data close to these values were obtained via the Mahalanobis distance in 2D space. Considering the adolescent growth pattern shown on this 2D space, males were divided into 4 age groups and females were divided into 3 age groups. Using the eigenbodies corresponding to the column vectors of the component score coefficient matrix, the representative body sizes of 13 measurement items (male) and 14 measurement items (female) for each age group were calculated. The representative body sizes and 3D scan data are very useful for modeling representative 3D human figures.