• Title/Summary/Keyword: art cluster

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Design Industry Clusters of Euljiro and Hongdae Area in Seoul - A Creative Industry Cluster Perspective (을지로와 홍대앞 디자인산업 클러스터 비교 연구 - 창조산업클러스터 관점을 중심으로 -)

  • Hee-Ra, Moon;U-Seok, Seo
    • Review of Culture and Economy
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    • v.21 no.3
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    • pp.89-124
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    • 2018
  • Although design industry belongs to one of the creative industries and contributes significantly to urban cultural economy based on its cluster formation, researches on design industry are rarely made explicit from the perspective of creative industry cluster. After reviewing the life cycle of design industry clusters in Euljiro and Hongdae Area in Seoul, this study compares these two clusters with respect of diverse dimensions of creative industry cluster such as agglomeration economy, spin-off activities and institutional environments. Research methodology includes the analysis of ?Seoul Business Statistics? and the in-depth interviews with 14 professional designers. The result shows that design industry cluster in Euljiro is close to the traditional industry cluster mainly dependent on printing industry with very limited impact on urban economy, while Hongdae Area develops creative industry cluster by virtue of university spin-offs, art markets, hybrid cultural consumption spaces and the active participation of designers contributing to urban economy in diverse ways. This comparative analysis highlights the importance of various environmental components to encourage creative activities in developing the creative industry cluster.

A Study on the Social Perception of Creating Artificial Intelligence Art: Using Semantic Network Analysis (인공지능 미술창작에 대한 사회적 인식 연구 - 언어 네트워크 분석을 중심으로 -)

  • Kim, Won Jae;Lee, Jin Woo
    • Korean Association of Arts Management
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    • no.59
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    • pp.5-31
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    • 2021
  • The purpose of this study is to analyze social perceptions and discourses about creating arts in the era of artificial intelligence with making an implication of responding to the emergence of artificial intelligence. We conceptually understand the principles and limitations of creating visual arts using artificial intelligence whilst this paper addresses ai art in the social context by borrowing the theoretical lens from the sociology of arts. This article considers 472 newspapers about artificial intelligence art as the main data, which are interpreted through semantic network analysis. The analysis of this research shows that it is a controversial issue regarding who/which creates the artworks between humans and computers. However, judging from the dominant influence of a group of words representing the recognition of intellectual property rights, we have detected that social awareness is formed around the perspective of considering artificial intelligence creates visual arts rather than artists. In addition, based on the close relationship between the cluster and the cluster reflecting institutional support, we confirm that the discourse about artificial intelligence art is limited to technological development and legal system maintenance. Thus, this study suggests the need for defining artificial intelligence as the medium of art and constructing policy discourses on artificial intelligence art as an artistic genre.

Case Study on Measuring Technology Level Applying Growth Curve Model: Three Core Areas of Fishery Science and Technology (성장곡선 모형 적용을 통한 기술수준평가 사례 연구 : 특정 수산과학기술 분야를 중심으로)

  • Kim, Wan-Min;Park, Ju-Chan;Bark, Pyeng-Mu
    • The Journal of Fisheries Business Administration
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    • v.46 no.3
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    • pp.103-118
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    • 2015
  • The purpose of this paper is to discuss possibilities of applying growth curve models, such as Logistic, Log-Logistic, Log-Normal, Gompertz and Weibull, to three specific technology areas of Fishery Science and Technology in the process of measuring their technology level between Korea and countries with the state-of-the art level. Technology areas of hazard control of organism, environment restoration, and fish cluster detect were selected for this study. Expert panel survey was conducted to construct relevant panel data for years of 2013, 2016, and a future time of approaching the theoretical maximum technology level. The size of data was 70, 70 and 40 respectively. First finding is that estimation of shape and location parameters of each model was statistically significant, and lack-of-fit test using estimated parameters was statistically rejected for each model, meaning all models were good enough to apply for measuring technology levels. Second, three models other than Pearl and Gompertz seemed very appropriate to apply despite the fact that previous case studies have used only Gompertz and Pearl. This study suggests that Weibull model would be a very valid candidate for the purpose. Third, fish cluster detect technology level is relatively higher for both Korea and a country with the state-of-the-art among three areas as of 2013. However, all three areas seem to be approaching their limits(highest technology level point) until 2020 for countries with the state-of-the-art. This implies that Korea might have to speed up her research activities in order to catch up them prior to 2020. Final suggestion is that future study may better apply various and more appropriate models respectively considering each technology characteristics and other factors.

Knowledge Acquistion using Neural Network and Simulator

  • Kim, Ki-Tae;Sim, Eok-su;Cheng Xuan;Park, Jin-Woo
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2001.01a
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    • pp.25-29
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    • 2001
  • There are so many researches about the search method for the most compatible dispatching rule to a manufacturing system state. Most of researches select the dispatching rule using simulation results. This paper touches upon two research topics: the clustering method for manufacturing system states using simulation, and the search method for the most compatible dispatching rule to a manufacturing system state. The manufacturing system state variables are given to ART II neural network as input. The ART II neural network is trained to cluster the system state. After being trained, the ART II neural network classifies any system state as one state of some clustered states. The simulation results using clustered system state information and those of various dispatching rules are compared and the most compatible dispatching rule to the system state is defined. Finally there are made two knowledge bases. The simulation experiments are given to compare the proposed methods with other scheduling methods. The result shows the superiority of the proposed knowledge base.

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A Study on Positioning of Imported Make-up Cosmetics Brand Image Attribute - Focus on Fashion Involvement - (수입색조화장품(輸入色調化粧品) 상표(商標)이미지 속성(屬性)에 따른 포지셔닝에 관(觀)한 연구(硏究) - 유행관여(流行關與)를 중심(中心)으로 -)

  • Kim, Ye-Hee;Kuh, Ja-Myung
    • Journal of Fashion Business
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    • v.7 no.4
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    • pp.43-56
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    • 2003
  • The main purpose of this study was to investigate the difference of perceptional degree of imported make-up cosmetics brand and importance of brand image attributes, and the evaluation of brand image attributes of imported make-up cosmetics according to fashion involvement and to provide positioning the imported make-up cosmetics brands according to brand image attributes. Survey was conducted to 301 people from age 20 to 30 year female woman who is leaving in Seoul and Kyunggee Inchon using convenience editing. Material analyzing was done using t-test, factor analysis, cluster analysis, multidimensional scaling. The results were as follows. 1. The perceptional degree of brand and the importance brand image attributes showed significant difference according to fashion involvement. 2. The evaluation of brand image attributes of imported make-up cosmetics were different between high involvement group and low involvement group. 3. As a result of multidimensional scaling, the imported make-up cosmetics brands were positioned different according to brand image attributes between high involvement group and low involvement group.

On the origin of gas deficient galaxies in galaxy clusters: insights from cosmological hydrodynamic simulations

  • Jung, Seoyoung;Choi, Hoseung;Wong, O. Ivy;Kimm, Taysun;Chung, Aeree;Yi, Sukyoung K.
    • The Bulletin of The Korean Astronomical Society
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    • v.43 no.1
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    • pp.33.2-34
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    • 2018
  • Galaxies associated with massive groups/clusters are normally gas deficient in contrast to field galaxies. HI observations on such galaxies have revealed signs of violent gas stripping, the direct evidence of the environmental effect. At the same time, the notable number of passive galaxies at the cluster outskirts indicates the presence of pre-processing that makes galaxies gas-poor before entering clusters. We investigate the possible channels for the production of the gas deficient galaxies using the state-of-the-art cosmological hydrodynamic zoom-in simulations of 16 clusters (Choi&Yi). We find cluster effect and pre-processing together play an important role in producing the gas-poor galaxies and in both cases gas loss qualitatively agrees with the ram pressure stripping description. Among the currently gas-poor cluster galaxies, 34% are pre-processed before the cluster infall. They are mainly satellites that have undergone ram pressure stripping in group halos. 43% deplete quickly after arriving at cluster during their first approach to the center. Some of them are group halo satellites low in the gas at the infall compared to galaxies directly coming from the field. 24% retain gas even after their first pericentric pass mainly because they are falling into low mass clusters and/or they have a circular orbit that minimizes the ram pressure effect. This study highlights the importance of the past history of galaxies, especially in group halos, before joining the current cluster when understanding the excess of passive galaxies in clusters.

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Study on the Cultural Marketing Factors of Tourism Destination in the Era of Convergence : Focusing on the Brand Attitude and Brand Equity Differences by segmented groups (융복합시대의 관광지 문화마케팅에 관한 연구 : 세분집단별 브랜드태도 및 자산 인식 차이를 중심으로)

  • Yoon, Yeong Hye;Kim, Mi Seong;Kang, Hwa;Yoon, Yoo Shik
    • Korea Science and Art Forum
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    • v.37 no.2
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    • pp.205-217
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    • 2019
  • This study began with the focusing the growth of importance of cultural marketing and its successes by applying to branding in a phase in which the cultural production era has arrived after the industrial production era. This study aimed to reveal the effect of cultural marketing, which are used as marketing strategy in the tourism field, on brand attitude and awareness. Therefore, this study tried to investigate the brand equity and attitude in accordance with the cultural marketing factors by survey Chinese tourists visiting Korea. The result and contents of the study are as follows. First, it was confirmed that the research question on the possibility of market segmentation in accordance with cultural marketing factors; the market segments were classified as Cluster 1 general involvement perceived group, Cluster 2 high involvement perceived group, Cluster3 middle involvement perceived group. Second, it revealed significant differences on brand attitude among the segments; Cluster 2 showed high brand attitude and Cluster 3 showed average level on brand attitude. Third, it found a statistically significant differences in the perception of brand equity including perceived quality, brand awareness and brand image of tourism destination. In conclusion, this study was able to identify market segments in accordance with cultural marketing factors of tourism destination and revealed significant differences in the segments by brand attitude and brand equity. This could provide practical implication that various cultural marketing activities to generate positive results on brand equity and brand attitude and cultural marketing strategies is also needed to increase foreign tourists' awareness of these cultural marketing activities.

Incremental Clustering Algorithm by Modulating Vigilance Parameter Dynamically (경계변수 값의 동적인 변경을 이용한 점층적 클러스터링 알고리즘)

  • 신광철;한상용
    • Journal of KIISE:Software and Applications
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    • v.30 no.11
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    • pp.1072-1079
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    • 2003
  • This study is purported for suggesting a new clustering algorithm that enables incremental categorization of numerous documents. The suggested algorithm adopts the natures of the spherical k-means algorithm, which clusters a mass amount of high-dimensional documents, and the fuzzy ART(adaptive resonance theory) neural network, which performs clustering incrementally. In short, the suggested algorithm is a combination of the spherical k-means vector space model and concept vector and fuzzy ART vigilance parameter. The new algorithm not only supports incremental clustering and automatically sets the appropriate number of clusters, but also solves the current problems of overfitting caused by outlier and noise. Additionally, concerning the objective function value, which measures the cluster's coherence that is used to evaluate the quality of produced clusters, tests on the CLASSIC3 data set showed that the newly suggested algorithm works better than the spherical k-means by 8.04% in average.

The Creative Economy and Urban Art Clusters: Locational Characteristics of Art Galleries in Seoul (창조경제와 도시 아트 클러스터: 서울시 화랑의 입지 특성을 중심으로)

  • Kim, Hak-Hee
    • Journal of the Korean Geographical Society
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    • v.42 no.2 s.119
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    • pp.258-279
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    • 2007
  • Culture and art are emerging as main components in the creative economy to enhance the competitiveness of urban centres in the global market by nurturing cultural or artistic industries. A range of research exists which investigates the role of artists and art museums in the process of urban regeneration in Northern American and Western European countries. Yet research into the geography of at galleries acting as an intermediary between art works and cultural consumers remain rare. Empirical research on gentrification and urban regeneration and their connection with spaces for cultural consumption in Asian cities is even less common. The aim of this paper is to show the rise and decline of art galleries in Seoul and the way that this reflects urban development process, historically specific conditions and the characteristics of artists' communities. The background of the locational agglomeration of an galleries is examined in connection with the human ecology of artists, art business and its implication for the global market. The location of art galleries in Seoul seems to be affected by commercial art business and public policy, rather than by artists communities embedded in local areas. The location dynamics of art gallery clusters in Seoul is examined in the context of rent increases, changes of consumers' taste and fluctuating market cycles.

Color Cosmetics Market's Segmentation for Korean New Seniors

  • Baek, Kyoung Jin
    • Journal of the Korean Society of Clothing and Textiles
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    • v.44 no.6
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    • pp.1189-1204
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    • 2020
  • Population aging and longevity have compelled major worldwide consumer markets to focus on senior citizens who exhibit a desire to nurture their appearance and obtain related products such as cosmetics. This trend signals an increasing need for in-depth research on elderly consumers in the color cosmetics market. This study identified the characteristics of seniors in the pre-elderly stage ("new seniors") based on their lifestyle and market segments. It employed online surveys with participants consisting of pre-elderly Korean women born between 1955 and 1963 who reside in the greater Seoul and Gyeonggi area. The study used SPSS 23.0 for factor analysis, reliability verification, cluster analysis, ANOVA, Duncan's test, and cross-analysis. The results show that new seniors could be classified into four groups based on lifestyle: Prime Seniors, Potential Seniors, Rational Seniors, and Slump Seniors. Each group has distinct characteristics. The findings suggest that the senior market requires further segmentation and is no longer a single uniform market. This study also confirms that the lifestyles of the elderly is an instrumental variable for their segmentation.