• Korean Institute of Interior Design Journal
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• v.24 no.6
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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.

• Review of Culture and Economy
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• v.19 no.2
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• pp.3-28
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• 2016

The present study attempted the segmentation of the art gallery visitors on the basis of leisure lifestyles. For this purpose, leisure lifestyle surveys were administered at Korea's three representative art galleries, the National Museum of Modern and Contemporary Art, Seoul Museum of Art, and Seoul Art Center's Hangaram Art Museum. A total of 314 questionnaires were analyzed to identify leisure lifestyle factors. On the basis of the lifestyle factors, a cluster analysis was performed, and then the differences of demographics, museum visiting behaviors, and general cultural consumption among the clusters were examined. The cluster analysis revealed four groups of lifestyles, 'culture and art lovers', 'active homebodies', 'low leisure spenders', and 'omnivorous culture and sports participants'. The four groups revealed the differences in terms of demographics, museum visiting behaviors, and general cultural consumption. On the basis of the findings, the marketing strategies targeting the segmented art gallery markets were discussed.

• The Journal of the Korea Contents Association
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• v.5 no.5
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• pp.33-42
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• 2005

In this paper, we propose a new training algorithm for improving pattern classification performance of ART neural network. The proposed train algorithm restricts unnecessary cluster generation and transition, applies the location extraction algorithm, and operates the reset system based on the agreement between the present learning pattern and the initial pattern. As a result, repetitive input of a pattern does not generate a new cluster and mis-recognition rate decreases.

• Journal of the Economic Geographical Society of Korea
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• v.19 no.3
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• pp.437-456
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• 2016

The purpose of this study is to understand the locational characteristics of performing art industries and to investigate the linkages with local economy. For the purpose, we examine the spatial concentration of cultural and artistic resources in Korea first, and than focus on Seoul where the resources of performing art industries are concentrated to the utmost. To distinguish the distribution aspect and locational characteristics of performing art industries, we apply the Kernel density analysis and LISA (Local Indicator of Spatial Association) on the address data of performing art theater, gallery, and movie theater. In contrast to galleries and movie theaters. the spatial distribution pattern of performing art theaters reveals a unique local cluster centered on the Daehakro area. We confirm that the Daehakro area constitutes a performing art industry cluster in their dense distribution of various related activities making up the value chain of the performing art industry. Multiple regression analysis probes the related economic activities to explain the distribution of performing art theaters as well as the linkages with the local economic landscape.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2002.05a
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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.

• Fashion & Textile Research Journal
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• v.14 no.4
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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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• v.9 no.6
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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.

• Proceedings of the KIEE Conference
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• 2005.10b
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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.

• The Bulletin of The Korean Astronomical Society
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• v.41 no.1
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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.

• Journal of Family Resource Management and Policy Review
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• v.10 no.1
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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.