• 한국실내디자인학회논문집
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• 제24권6호
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• pp.192-201
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• 2015

This research aims to find planning issues on reuse of an industrial heritage as a cultural cluster and to suggest planning factors which can be referred when designing the similar cases. Analysis standards were formed through reviewing of precedent literatures, and the selected cases(i.e Shanghai M50, Yokohama BankART1929, and Incheon ArtPlatform) were analyzed to identify both physical and nonphysical planning characteristics. By combining analyses, the following results were obtained; (1) The demand and supply of the arts coexist in one place, and the studios and galleries are designed with high ceilings; (2) The regional and historical characteristics are revealed from preserving major architectural elements of previous buildings, and open spaces are provided to promote a variety of activities for local residents; (3) Various strategies to overcome disadvantage in location are developed, and the concepts of design can be easily recognized by buildings' exterior as the reused industrial heritage and the cultural cluster; (4) Diverse supports for artists make it possible to gather many competent artists, and the cooperative networks among artists play a pivotal role in the development of cultural cluster; (5) The cluster runs educational programs reflecting the needs of local residents, and builds a strong relationship with the local community by supporting regional art industry or developing linked programs; (6) The cluster serves various functions such as cafes, pubs, restaurants, art shops, and bookstores, and hosts appealing events and festivals to attract many people even who are not interested in arts.

• 문화경제연구
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• 제19권2호
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• pp.3-28
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• 2016

이 연구에서는 여가 라이프 스타일을 기준으로 미술관 관람객의 집단 세분화를 시도하였다. 이를 위해 우리나라의 대표적인 미술관인 서울 소재의 국립현대미술관, 서울시립미술관, 예술의 전당 한가람미술관의 관람객을 대상으로 여가 라이프 스타일을 조사하였다. 314부의 설문 분석을 통해 여가 라이프 스타일 요인을 추출하였으며 이를 기반으로 여가 라이프 스타일 차원을 반영한 문화 예술 소비자들의 집단이 어떻게 구성되는지를 확인하기 위하여 군집 분석을 실시하였다. 이어 군집 간의 인구 통계학적, 미술관 관람 행동 및 일반적인 문화소비 활동의 차이를 점검하였다. 여가 라이프 스타일에 따라 문화 예술 소비자를 구분한 결과 '문화예술 선호형' 집단, '활동적 집돌이형' 집단, '여가 저향유형' 집단, '잡식성 문화/스포츠 참여형' 집단의 4개 군집이 도출되었다. 4개 군집의 인구 통계학적 차이를 확인한 결과 성별, 연령별, 직업별 차이가 확인되었으며 군집 간에는 미술관 관람 행동과 일반적인 문화예술 소비에도 차이가 있는 것으로 확인되었다. 분석 결과를 토대로 시장 세분화에 따른 미술관의 마케팅 방안이 논의되었다.

• 한국콘텐츠학회논문지
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• 제5권5호
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• pp.33-42
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• 2005

본 논문에서는 ART 신경회로망의 성능을 개선하기 위해, 불필요한 클러스터의 생성과 변화를 억제하여 효율적인 패턴 분류가 가능하도록 하는 학습 알고리즘을 제안한다. 또한, 패턴 분류의 정확성을 향상시키기 위해 한글의 구조적 특징을 이용한 위치추출 알고리즘을 적용하였다. 제안하는 학습 알고리즘은 현재 학습되는 패턴과 최초 패턴간의 일치도를 비교한 후 리세트 시스템을 작동케 한다. 그 결과, 신경회로 망은 이미 입력되었던 패턴이 다시 입력되어도 새로운 클러스터의 생성을 방지하여 오인식율을 줄이게 된다.

• 한국경제지리학회지
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• 제19권3호
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• pp.437-456
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• 2016

본 연구의 목적은 공연예술 산업의 입지적 특성을 파악하고, 그들의 지역 경제와의 연계성을 분석하는 것이다. 이를 위하여 공연예술 산업이 가장 집중되어 있는 서울을 대상으로 소비자가 관련시설이 있는 장소를 방문해야 하는 소비의 유사성을 지닌 갤러리와 영화 상영관의 각 사업체의 주소자료를 이용하여 커널밀도분석과 공간적 자기상관성(Spatial Autocorrelation)분석을 실시한다. 특히 LISA(Local Indicator of Spatial Association)를 적용하여 국지적 핫스팟을 확인한다. 분석 결과 갤러리와 영화 상영관의 분산 분포와 달리 공연장은 대학로 일대를 중심으로 응집된 단일 핫스팟이 나타난다. 대학로 일대를 중심으로 하는 공연장 밀집지역에는 공연예술 산업의 가치사슬을 구성하는 다양한 활동들이 인근에 밀집분포하며 공연예술 산업의 클러스터를 형성하는 입지적 특성이 파악된다. 또한 다중회귀분석을 통하여 공연장의 분포를 설명하는 경제활동을 파악하여 지역 경제경관과의 연계성을 분석한다.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2002년도 춘계학술대회 논문집
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• pp.195-200
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• 2002

ART (Adaptive Resonance Theory [1]) neural network and its variations perform non-hierarchical clustering by unsupervised learning. We propose a scheme "arboART" for hierarchical clustering by using several ART1.5-SSS networks. It classifies multidimensional vectors as a cluster tree, and finds features of clusters. The Basic idea of arboART is to use the prototype formed in an ART network as an input to other ART network that has looser distance criteria (Ishihara, et al., [2,3]). By sending prototype vectors made by ART to one after another, many small categories are combined into larger and more generalized categories. We can draw a dendrogram using classification records of sample and categories. We have confirmed its ability using standard test data commonly used in pattern recognition community. The clustering result is better than traditional computing methods, on separation of outliers, smaller error (diameter) of clusters and causes no chaining. This methodology is applied to Kansei evaluation experiment data analysis.

• 한국의류산업학회지
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• 제14권4호
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• pp.669-676
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• 2012

This study aims to compare the properties of natural dye stuffs, such as color, dyeability, fastness, and marketability, to analyze the differences noted by expert groups regarding the properties of the stuffs, and to make a positioning of the stuffs. A survey of experts in academia, business, and the art of natural dyeing was conducted, with an evaluation of 23 types of the stuff's properties. There is a correlation between the properties of the stuffs, and evaluating dye stuffs differs according to the group to which it belongs. X-axis relates to color and Y-axis refers to fastness in the positioning of the stuff. There are different relationships between properties according to their group. Color is significantly associated with marketability in art experts however, fastness is closely connected with marketability in business. The stuffs can be divided into five clusters. Cluster I includes indigo and persimmon, and is marked by excellent color, dyeability, fastness, and marketability, Cluster II contains safflower and sappan wood, which are excellent colors, yet suffer from low marketability on account of their medium to low fastness. Cluster III includes red, purple, and brown dyes, and onion and rhubarb, and has medium properties. Cluster IV is mugwort and yellow dyes, except onion and rhubarb, and features low properties. Cluster V is loess, featuring medium color and low fastness.

• Journal of information and communication convergence engineering
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• 제9권6호
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• pp.637-640
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• 2011

The hybrid neural networks have characteristics such as fast learning times, generality, and simplicity, and are mainly used to classify learning data and to model non-linear systems. The middle layer of a hybrid neural network clusters the learning vectors by grouping homogenous vectors in the same cluster. In the clustering procedure, the homogeneity between learning vectors is represented as the distance between the vectors. Therefore, if the distances between a learning vector and all vectors in a cluster are smaller than a given constant radius, the learning vector is added to the cluster. However, the usage of a constant radius in clustering is the primary source of errors and therefore decreases the recognition success rate. To improve the recognition success rate, we proposed the enhanced hybrid network that organizes the middle layer effectively by using the enhanced ART1 network adjusting the vigilance parameter dynamically according to the similarity between patterns. The results of experiments on a large number of calling card images showed that the proposed algorithm greatly improves the character extraction and recognition compared with conventional recognition algorithms.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
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• pp.130-132
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• 2005

This paper presents two ART-based neural networks for the identification of gas mixtures subject to the drift. A fuzzy ARTMAP neural network is used for classifying $H_2S$, $NH_3$ and their mixture gases including a reference gas. The other fuzzy ART neural network is utilized to detect the drift of a tin oxide gas sensor by tracking a cluster center of the reference gas. After detecting the drift, the previous cluster center of each gas is updated as much as the drift of the reference gas. By the simulations, the proposed method is shown to compensate the drift on-line without making many categories of target gases compared with the previous studies.

• 천문학회보
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• 제41권1호
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• pp.34.3-35
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• 2016

A galaxy-cluster phase space diagram is a simple plot of clustocentric velocity versus clustocentric radius for each member of the cluster. Using state-of-the-art, cosmological hydrodynamical simulations, we investigate where simulated galaxies fall in phase space. We find the galaxies with different cluster infall times often separate cleanly in phase space. We also investigate how a galaxy's location in phase space is correlated with its tidal mass loss, and ram pressure stripping. By comparing our simulated cluster galaxies to observed cluster galaxies, we show how phase space diagrams are essential tools for understanding environmental effects acting on cluster galaxies.

• 가족자원경영과 정책
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• 제10권1호
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• pp.83-105
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• 2006

The purposes of this study were to classify types of consumption values and to examine 5 types of art appreciation of university students in Seoul. Five types of art appreciation included fine art exhibition(including photographs, architects, calligraphy works), classical and opera performance, traditional Korean music performance, drama and musical performance, dance performance. The sample for this study consisted of 422 university students of five universities in Seoul. The data were collected using the structured questionnaires. The statistical methods used for the analysis were descriptive statistics, chi-square, factor analysis, and cluster analysis. The major findings are as follows. 1. The result of factors for consumption values of students emerged four factors. These were called as 'materialism', 'honor centered', 'family centered', 'hedonism' value. 2. The cluster analysis was conducted based on these four factors. The result showed 3 groups of consumption value which were called as 'material' honor value group', 'family value group', 'hedonic value group'. 3. The consumption value of university students did not significantly differ according to their demographic variables. 4. The behavior of art appreciation of university students significantly differed by their demographic characteristics and consumption value. The material' honor valued group showed the least chances to make decisions on art appreciation for one's own, which reflected that this group appreciate art to satisfy their honors rather than to enjoy art itself. They also showed the most chances to consider the renownedness of the art work or artists among three groups. And they showed the least chances to pay for the tickets for art appreciation, all of those meant that they appreciate arts unvoluntarily in situational condition. The family valued group showed the most chances to pay for the tickets when they appreciate arts. And therefore they were most susceptible for the prices. The hedonic valued group showed the most interests in art. They decided to appreciate art for their own, and they considered the contents and the highness in the level of the art the most when they appreciate art. And they show the most intention of participation in drama/musical performances, which reflect their interests in hedonic values. Based on these results of this study concluded that the consumption values of university students affected their behavior of art appreciation. Thus, university students' behavior on art appreciation can be effectively developed by education according to their consumption values.