• Title/Summary/Keyword: Cultural clustering

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A Study on Efficiency Analysis about the Public Libraries Using Clustering DEA/AHP Model (Clustering DEA/AHP 모형을 이용한 전국 공공도서관 효율성 평가)

  • Jang, Chul-Ho
    • Journal of Korean Library and Information Science Society
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    • v.40 no.2
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    • pp.491-514
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    • 2009
  • The supply of public libraries in Korea has been rapidly improving because of the recent increase for cultural demands and revitalization of the local culture. This paper aims to analyze the efficiency about 565 public libraries using Clustering DEA/AHP(CDA) model. This model is employed the efficiency analysis in order to incorporate project irreversibility and division due to the limit of resources spending. The results shows that the public libraries are divided into three groups which are large size libraries(Group 1), middle size libraries(Group 2) and small size libraries(Group 3). Their average efficiency was found as 0.89, 0.72 and 0.60 each.

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Chinese-Korean Cultural Map, the First Step to Asian Electronic Cultural Map (아시아전자문화지도의 첫걸음, 조선족문화지도)

  • Kim, Dong-Hun;Moon, Hyun-Joo
    • Proceedings of the Korea Contents Association Conference
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    • 2008.05a
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    • pp.377-381
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    • 2008
  • Chinease-Korean Cultural Map, which is an electronic cultural map that shows Chinese-Korean culture on maps, is planned as the first step to development Asian Electronic Cultural Map. Chinese-Korean have their unique cultural characteristics same as other small tribes. Small tribes shows same typical cultural characteristics of Asian, and that characteristics are very important factors for understanding the whole Asian culture. This paper proposes a logical and standardized development methodology for construction of Electronic Cultural Map. The methodology consists of 6 steps; information analysis, keyword extraction, keyword clustering, map element extraction, prototype design, and map development. We used and evaluated the methodology during prototype design and development steps for the optimal functions. To generate the base maps for Chinese-Korean Cultural Map, we use Google Earth and KML(Keyhole Markup Language) for standardized and easy development.

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A Study on the Architectural Characteristics and Meaning of Wolfsburg Cultural Center (볼프스부르크 문화센터의 건축 특성과 의미에 관한 연구)

  • Chung, Tae-Yong
    • Korean Institute of Interior Design Journal
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    • v.20 no.2
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    • pp.47-54
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    • 2011
  • In Alvar Aalto's designs, important factors of complex building designs including Wolfsburg cultural center are that they insinuate how to develop each architectural type and how to combine them in a building. The humane and physical background studies, and wholistic and systematic approaches are adopted to fulfill research purposes. Comparison with other buildings are necessary to reveal true meaning of this building. The result of analysis show characteristics of Wolfsburg cultural center as follows; hybrid composition of mass and elevation, spatial effect using level difference and light, massing variation of roof, and creating space for various activities. Wolfsburg cultural center designed in late 1950s has greatly affected Aalto's later works through various architectural experiments because it is the first cultural complex project that combined various architectural types. Especially library in the cultural center has shown transitional characteristics to famous fan-type libraries of 1960s while maintained features about Viipuri library. Wolfsburg cultural center act as an another type which present new principles of clustering, massing and exterior design. Its true meaning lies in forming a humanizing place beyond spatial configuration.

Cultural Region-based Clustering of SNS Big Data and Users Preferences Analysis (문화권 클러스터링 기반 SNS 빅데이터 및 사용자 선호도 분석)

  • Rho, Seungmin
    • Journal of Advanced Navigation Technology
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    • v.22 no.6
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    • pp.670-674
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    • 2018
  • Social network service (SNS) related data including comments/text, images, videos, blogs, and user experiences contain a wealth of information which can be used to build recommendation systems for various clients' and provide insightful data/results to business analysts. Multimedia data, especially visual data like image and videos are the richest source of SNS data which can reflect particular region, and cultures values/interests, form a gigantic portion of the overall data. Mining such huge amounts of data for extracting actionable intelligence require efficient and smart data analysis methods. The purpose of this paper is to focus on this particular modality for devising ways to model, index, and retrieve data as and when desired.

Market Segmentation and Purchase Behavior for Consumers Purchasing Korean Cultural Fashion Items - Focused on Inbound Japanese Tourists - (한국패션문화상품 소비자에 대한 시장세분화와 구매행동연구 - 방한 일본관광객을 중심으로 -)

  • Lee, Jin-Hwa
    • Fashion & Textile Research Journal
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    • v.8 no.4
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    • pp.427-432
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    • 2006
  • The purpose of this study was 1) to segment the market of inbound Japanese tourists based on the importance of tour activity that tourists perceived and 2) to examine the behavior of each segmentation purchasing cultural fashion items in Korea. Data were collected using a self-administered questionnaire survey in Seoul. Clustering analysis, Chisquare, and ANOVA test were used to conduct the data analysis on 288 out of 400 questionnaires. The inbound Japanese tourists market was segmented into 3 groups; culture oriented group, shopping oriented group, and multi-activity group. Three groups were significantly different in terms of age, income, purchase amount, purchase criteria, and degree of shopping satisfaction. Marketing strategies for segmented markets were discussed.

The Abstraction Retrieval System of Cultural Videos using Scene Change Detection (장면전환검출을 이용한 교양비디오 개요 검색 시스템)

  • Kang Oh-Hyung;Lee Ji-Hyun;Rhee Yang-Won
    • The KIPS Transactions:PartB
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    • v.12B no.7 s.103
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    • pp.761-766
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    • 2005
  • This paper proposes a video model for the implementation of the cultural video database system. We have utilized an efficient scene change detection method that segments cultural video into semantic units for efficient indexing and retrieval of video. Since video has a large volume and needs to be played for a longer time, it implies difficulty of viewing the entire video. To solve this Problem. the cultural video abstraction was made to save the time and widen the choices of video the video abstract is the summarization of scenes, which includes important events produced by setting up the abstraction rule.

Identifying the Diffusion Patterns of Movies by Opening Strength and Profitability (개봉 규모와 수익성에 따른 영화의 분류와 확산 패턴 분석)

  • Kim, Taegu;Hong, Jungsik
    • Journal of Korean Institute of Industrial Engineers
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    • v.39 no.5
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    • pp.412-421
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    • 2013
  • Motion picture industry is one of the most representative fields in the cultural industry and has experienced constant growth both worldwide and within domestic markets. However, little research has been undertaken for diffusion patterns of motion pictures, whereas various issues such as demand forecasting and success factor analysis have been widely explored. To analyze diffusion patterns, we adopted extended Bass model to reflect the potential demand of movies. Four clusters of selected movies were derived by k-means clustering method with criteria of opening strength and profitability and then compared by their diffusion patterns. Results indicated that movies with high profitability and medium opening strength are most significantly influenced by word of mouth effect, while low profitability movies display nearly monotonic decreasing diffusion patterns with noticeable initial adoption rates and relatively early peak points in their runs.

Simulation of the Degradation Detecting Signal Using Pattern Analysis Method (패턴 분석법을 이용한 열화 검출 신호 시뮬레이션)

  • Park, Geon-Ho
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2013.07a
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    • pp.341-342
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    • 2013
  • 본 연구에서는 배전선로의 내부 부식을 진단하는 방법이 미흡하여 예기치 못한 사고가 빈번히 발생하는 현실을 감안하여 이에 대한 대책으로 와류탐상법을 이용하여 배전선로의 내부 부식 신호를 검출한 후, 와류 탐상 신호가 매우 민감한 신호임을 고려하여 내부 부식에 대한 보다 정확한 분석을 할 수 있도록 패턴 해석 방법인 군집화기법을 이용하여 와류 탐상 신호에 대한 시뮬레이션을 수행하였으며, 배전선로의 열화 정도를 제시하기 위해 물성 변화 및 인장력을 각각 조사하였다.

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Didymella gigantis sp. nov. Causing Leaf Spot in Korean Angelica

  • Gyo-Bin Lee;Ki Deok Kim;Weon-Dae Cho;Wan-Gyu Kim
    • Mycobiology
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    • v.51 no.6
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    • pp.393-400
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    • 2023
  • During a disease survey in October 2019, leaf spot symptoms with a yellow halo were observed on Korean angelica (Anglica gigas) plants grown in fields in Pyeongchang, Gangwon Province, Korea. Incidence of diseased leaves of the plants in the investigated fields ranged from 10% to 60%. Morphological and cultural characteristics of two single-spore isolates from the leaf lesions indicated that they belonged to the genus Didymella. Molecular phylogenetic analyses using combined sequences of LSU, ITS, TUB2, and RPB2 regions showed distinct clustering of the isolates from other Didymella species. In addition, the morphological and cultural characteristics of the isolates were somewhat different from those of closely related Didymella spp. Therefore, the novelty of the isolates was proved based on the investigations. Pathogenicity of the novel Didymella species isolates was confirmed on leaves of Korean angelica plants via artificial inoculation. This study reveals that Didymella gigantis sp. nov. causes leaf spot in Korean angelica.

A Quantitative Approach to a Similarity Analysis on the Culinary Manuscripts in the Chosun Periods (계량적 접근에 의한 조선시대 필사본 조리서의 유사성 분석)

  • Lee, Ki-Hwang;Lee, Jae-Yun;Paek, Doo-Hyun
    • Language and Information
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    • v.14 no.2
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    • pp.131-157
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    • 2010
  • This article reports an attempt to perform a similarity analysis on a collection of 25 culinary manuscripts in Chosun periods using a set of quantitative text analysis methods. Historical culinary texts are valuable resources for linguistic, historic, and cultural studies. We consider the similarity of two texts as the distributional similarities of the functional components of the texts. In the case of culinary texts, text elements such as food names, cooking methods, and ingredients are regarded as functional components. We derive the similarity information from the distributional characteristics of the two key functional components, cooking methods and ingredients. The results are also quantified and visualized to achieve a better understanding of the properties of the individual texts and the collection of the texts as a whole.

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