• Title/Summary/Keyword: cluster value

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Locational Characteristics of Performing Art Industries and the Linkages with the Local Economic Landscape (공연예술 산업의 입지 특성과 지역 경제경관의 연계성)

  • Lee, Sooyoung;Lee, Keumsook
    • 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.

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Design and Implementation of a Java Package for Sharing Array Data by the DSM Interface on a Cluster of Workstations (워크스테이션 클러스터 상에서 분산공유메모리 인터페이스로 배열 데이터의 공유를 지원하는 Java 패키지의 설계와 구현)

  • Lim, Hae-Jung;Kim, Myung
    • Journal of Korea Multimedia Society
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    • v.2 no.3
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    • pp.355-365
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    • 1999
  • In this paper, we present JPAS(Java Package for Array Sharing) which is a Java Package for sharing arrays of data on a cluster of workstations. It allows us to divide an array of data into several pieces, and to place each piece on a different host. JPAS uses Java RMI so that the entire array can be accessed by a location transparent interface which is similar to that of a distributed shared memory system. JPAS is portable and easy to use since it is implemented using pure Java. In order to reduce network overhead, JPAS allows programmers to use their prior knowledge of the application. Data consistency can be maintained through the value updating methods defined for all the elements of an array. We developed parallel programs which use JPAS, and tested them on a cluster of workstations. The test results show that JPAS is a parallel programming tool with reasonably good performance.

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Simplification of 3D Polygonal Mesh Using Non-Uniform Subdivision Vertex Clustering (비균일 분할 정점 군집화를 이용한 3차원 다각형 메쉬의 단순화)

  • 김형석;박진우;김희수;한규필;하영호
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.24 no.10B
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    • pp.1937-1945
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    • 1999
  • In paper, we propose a 3D polygonal mesh simplification technique based on vertex clustering. The proposed method differentiates the size of each cluster according to the local property of a 3D object. We determine the size of clusters by considering the normal vector of triangles and the vertex distribution. The subdivisions of cluster are represented by octree. In this paper, we use the Harsdorff distance between the original mesh and the simplified one as a meaningful error value. Because proposed method adaptively determine the size of cluster according to the local property of the mesh, it has smaller error as compared with the previous methods and represent the small regions on detail. Also it can generate a multiresolution model and selectively refine the local regions.

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Feature Extraction by Line-clustering Segmentation Method (선군집분할방법에 의한 특징 추출)

  • Hwang Jae-Ho
    • The KIPS Transactions:PartB
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    • v.13B no.4 s.107
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    • pp.401-408
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    • 2006
  • In this paper, we propose a new class of segmentation technique for feature extraction based on the statistical and regional classification at each vertical or horizontal line of digital image data. Data is processed and clustered at each line, different from the point or space process. They are designed to segment gray-scale sectional images using a horizontal and vertical line process due to their statistical and property differences, and to extract the feature. The techniques presented here show efficient results in case of the gray level overlap and not having threshold image. Such images are also not easy to be segmented by the global or local threshold methods. Line pixels inform us the sectionable data, and can be set according to cluster quality due to the differences of histogram and statistical data. The total segmentation on line clusters can be obtained by adaptive extension onto the horizontal axis. Each processed region has its own pixel value, resulting in feature extraction. The advantage and effectiveness of the line-cluster approach are both shown theoretically and demonstrated through the region-segmental carotid artery medical image processing.

A STUDY ON THE PRACTICAL ANALYSIS OF KOREAN PO'S (포의 실증적 분석에 관한연구)

  • 이해영
    • Journal of the Korean Society of Costume
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    • v.28
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    • pp.99-112
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    • 1996
  • In this study I purpose a new approach to the study of Korean costume history which includes a statistical method used in the prac-tical measurement of excavated Po's and the analysis of their quantitative changes. In the framework used in this study I de-pend on the nineteen variables picked out from the typological and chronological analysis of excavated clothes. The interrelationship of the variables as well as the standard of each part and its deviation in other forms are may main concern. Other methods are also very useful in my thesis: Correlation analysis Regression analysis Discrimination analysis Cluster analysis Discrimination analysis Cluster analysis Factor analysis One way analysis of variance. The findings of my study can be summarized as follows: 1. Every type of po has a general tendency to have more broadened sleeves while it does not show any considerable changes in the total length and in the width of armholes. 2. In the Correlation analysis each part of Po's is handled separately accordign to its chronology and type. The Regreesion analysis makes it possible to provide the sizes of miss-ing parts in excavated clothes and the numeri-cal value of each part needed in the pattern making. 3. The Discrimination analysis of the Po's whose types are unknown leads to the con-clusion that Chongsam and Chikryong Po are classified into Chikryong Po whereas Hongui is classified into Jooui In addition I propose discriminational function by which the age classification is possible discovering the variables associated with time change. 4. Five items-Gerneral Park's clothes Taewongun's clothes and three others produced later for the purpose of preserving Korean costume are proved to be in a differ-ent group and hence analyzed separately in the visual grouping of changui which is done after the cluster analysis and the factor analysis. 5. The results of the one way analysis of variance reveal that there is a difference in each part from period: the back width the sleeve length the sleeve width thelean fig-ure the breasttie length the breasttie width outside quesset upper inside quesset lower outside neckband length insideneckband length etc.

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An analysis of natural products patents (천연물 신약 특허 동향 분석)

  • Han, Yoo-Jin;Park, Sunju
    • Journal of Society of Preventive Korean Medicine
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    • v.20 no.2
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    • pp.77-86
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    • 2016
  • Objectives : This study aims to investigate the current situation of domestic patents in Korea on natural products and to provide directions for developing and applying herbal medicinal products by in-depth analyses. Methods : Combinations of words, such as "A61K" or "A61P", "herb" or "Korean medicinal herb" or "Korean medicine" or "traditional" or "natural" or "$botanic^*$" or "China", and "medicine" or "treatment" or "prevention" or "improvement", were used to search patents in the World Intellectual Property Service (WIPS) database. Three methods were applied to analyze natural products patents. First, the number of patent registrations was sorted by year. Second, the assignees were analyzed by count and country of origin. Finally, cluster map analysis was conducted to explore frequently emerging words in natural products and the relationship amongst those words to treat corresponding diseases/technologies. Results : Results showed that, first, the total number of patents had been increasing. Among the patents, 76.4% were registered by domestic institutes/companies, and 23.6% by foreign institutes/companies. Second, USA, Japan, and China possess a considerable number of Korean patents and, therefore, domestic institutes/companies can seek joint technological development opportunities with their counterparts from those countries in the future. Finally, a total of four clusters were identified by cluster map analysis. Each of the clusters includes natural products related to diseases involving skin, aging, and blood sugar, as well as adult diseases. Conclusions : In this study, natural products patents registered in the Korean Intellectual Property Office were analyzed. The analyses results showed the kinds of natural products that had been employed for the treatment of certain diseases. However, natural products included in existing patents were minimal given that 4,174 species of indigenous plants are found in Korea. Thus, Korean institutes/companies should utilize unexplored plants to develop more value-added drugs.

The effect of social capital on firm performance within industrial clusters: Mediating role of organizational learning of clustering SMEs (산업클러스터 내 사회적 자본이 기업성과에 미치는 영향: 조직학습의 역할을 중심으로)

  • Kim, Shin-Woo;Seo, Ribin;Yoon, Heon-Deok
    • Knowledge Management Research
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    • v.17 no.3
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    • pp.65-91
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    • 2016
  • Although the success of industrial clusters largely depends on whether clustering firms can achieve economic performance, there has been less attention on investigating factors and conditions contributing to the performance enhancement for clustering small and medium-sized enterprises (SMEs). Along this vein, we adopt the theories of social capital and organizational learning as those success factors for clustering SMEs. This study thus aims at examining what effect social capital accrued in the relationships among actors within clusters has on firm performance of clustering SMEs and what role organizational learning plays in the linkage between social capital and firm performance. For the empirical analysis, we operationalized the variables and their measures to develop questionnaires through the theoretical reviews on literatures. As a sample of 227 clustering SMEs, our collected data was analyzed by hierarchical regression analysis. The results confirmed that a high level of social capital, represented by network, trust, and norm, has positive effect on firm performance of clustering SMEs. We also found that clustering firms presenting high organizational learning, represented by absorptive and transformative capability, achieve better performance than those placing less value on organizational learning. Furthermore the significant relationship between social capital and firm performance is mediated partially through organizational learning. These findings imply not only that the territorial agglomeration of industrial cluster does not guarantee the performance creation of clustering SMEs but that they need to develop social capital among various actors within clusters, facilitating their knowledge diffusion. In order to absorb and mobilize the shared knowledge and information into strategic resources, the firms should improve their capability associated with organizational learning. These expand our understanding on the importance of social capital and organizational learning for the performance enhancement of clustering firms. Differentiating from major studies addressing benefits and advantages of industrial cluster, this study based on the perspective of firm-internal business process contributes to the literature advancement. Strategic and policy implications of this study are discussed in detail.

Factors Affecting Bone Mineral Density by Dietary Pattern Group for Some Korean College Women (일부 우리나라 여대생의 식사 패턴군에 따른 골밀도에 영향을 미치는 요인 분석)

  • Song, Yoon-Ju;Paik, Hee-Young;Yu, Choon-Hie
    • Journal of Nutrition and Health
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    • v.39 no.5
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    • pp.460-466
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    • 2006
  • To investigate the effects of dietary patterns on bone mineral density and its biochemical markers among Korean healthy college women for 2 years, 34 female college students were recruited through convenience sampling. Bone mineral density was measured using Dual Energy X-ray Absorptiometry (DEXA) twice at baseline and two years later. Osteocalcin and parathyroid hormone were measured in fasting serum and N-teleopeptides of type collagen (NTx) in urine. Dietary intake was assessed by 24-hour recall method 8 times with average 4-month interval. Dietary patterns with percent energy of each food group using cluster analysis were classified into two groups. The first cluster (n = 16) was characterized with high consumption of bread, snack, fast foods, beverage and considerable of rice so it was determined as 'Modified dietary pattern group'. The second cluster was characterized with high consumption of rice and kimchi so determined as 'Traditional dietary pattern group'. There were no significant difference of age, menarcheal age, body mass index but percent of body fat by pattern groups. The traditional group showed higher value of bone mineral density among lumber spine and all femur sites at baseline and 2 years later but it was not significant after adjusted for percent of body fat. Serum osteocalcin and urine NTx was higher among the traditional group at baseline than the modified group. There were similar proportions of carbohydrate:fat:protein between groups but significantly higher intake of protein, iron, vitamin A among the traditional group. In conclusion, there were two distinctive dietary patterns among Korean college women. There was difference of bone mineral density and its biochemical markers between two patterns. Further research would be necessary to explore the relationship between dietary patterns and health risks for larger-sized and various populations.

Forest Structure in Relation to Altitude and Part of Slope in a Valley Forest at Yeonaegol, Kyeryongsan National Park (계룡산국립공원 연애골지역 계곡부의 해발고와 사면부위에 따른 산림구조)

  • 박인협;서영권;이석면;이만용
    • Korean Journal of Environment and Ecology
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    • v.14 no.4
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    • pp.303-310
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    • 2001
  • 계룡산국립공원 연애골 계곡부(해발 170-630m)의 해발고와 사면부위에 따른 교목층과 아교목층의 산림구조를 조사하기 위하여 해발고와 사면부위에 따란 48개 조사구를 설정하였다. 계곡 정부를 제외할 때, 해발고가 높아짐에 따라 교목층의 밀도는 증가하는 반면 아교목층의 밀도는 감소하였으며, 교목층과 아교목층 전체의 밀도는 별차이가 없었다. 흉고단면적은 계곡 하부와 중부가 상부에 비하여 높았다. 해발고가 높아짐에 따라 중요치가 증가하는 경향을 보이는 수종은 산길나무, 팥배나무, 쇠물푸레 등이었으며, 감소하는 경향을 보이는 수종은 산벚나무, 졸참나무, 때죽나무, 갈참나무, 밤나무 등이었다. 사면 하부에서 갈수록 중요치가 증가하는 경향을 보이는 수종은 소나무, 신갈나무, 쪽동백나무, 쇠물푸레 드잉었으며, 감소하는 경향을 보이는 수종은 느티나무, 때죽나무, 비목나무, 고로쇠나무 등이었다. 해발고대별 종다양의 범위는 0.971~1.273이었으며, 종다양도와 종수는 계곡 중부가 계곡하부와 상부에 비하여 다소 낮았으나 균재도는 유사하였다. 계곡 정부를 제외한 해발고대간 유사도지수는 30.8~63.7%, 사면부위간 유사도지수는 69.8~79.5%로서 사면부위보다 해발고에 따른 종구성상태의 변화가 더 크게 나타났다. 수종별 중요치에 의한 Cluster 분석 결과 계곡 하부의 사면 상. 중, 하부에 위치한 때죽나무-소나무-낙엽활엽수군집, 계곡 중부의 사면 상, 중, 하부에 위치한 굴참나무-낙엽활엽수군집 계곡 상부의 상. 중. 하부에 위치한 물푸레나무-낙엽활엽수군집, 계곡 정부에 위치한 소나무-신갈나무군집 등 4개 유형군집으로 구분되었다. 종상관을 분석한 결과 느티나무, 물푸레나무, 고로쇠나무, 팽나무, 회나무 등 5개 수종간, 소나무, 쇠물푸레, 산철쭉 등 3개 수종간 유의적인 정의 상관을 보였다. 유의적인 정의 상관을 보인 느티나무, 물푸레나무, 회나무, 사람주나무 등 4개 수종 모두 소나무와 유의적인 부위 상관을 보였으며, 유의적인 정의 상관을 보인 졸참나무는 유의적인 정의 상관을 보인 물푸레나무, 사람주나무, 회나무와, 유의적인 부의 상관을 보였다.

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Genetic Distances of Three Mollusk Species Investigated by PCR Analysis

  • Oh, Hyun;Yoon, Jong-Man
    • Development and Reproduction
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    • v.18 no.1
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    • pp.43-49
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    • 2014
  • Three species of Nortamea concinua (NC) and Haliotis discus hannai (HDH) from Tongyeong and Sulculus diversicolor supertexta (SDS) are widely distributed on the coast of the Yellow Sea, southern sea and Jeju Island in the Korean Peninsula under the innate ecosystem. There is a need to understand the genetic traits and composition of three mollusk species in order to evaluate exactly the patent genetic effect. PCR analysis was performed on DNA samples extracted from a total of 21 individuals using seven decamer oligonucleotides primers. Seven primers were shown to generate the unique shared loci to each species and shared loci by the three species which could be clearly scored. A hierarchical clustering tree was constructed using similarity matrices to generate a dendrogram, which was facilitated by the Systat version 10. 236 specific loci, with an average of 56.3 per primer, were identified in the NC species. 142 specific loci, with an average of 44.7 per primer, were identified in the HDH species. Especially, 126 numbers of shared loci by the three species, with an average of 18 per primer, were observed among the three species. Especially, the decamer primer BION-75 generated 7 unique loci to each species, which were identifying each species, in 700 bp NC species. Interestingly, the primer BION-50detected 42 shared loci by the three species, major and/or minor fragments of sizes 100 bp and 150 bp, respectively, which were identical in all samples. As regards average bandsharing value (BS) results, individuals from HDH species (0.772) exhibited higher bandsharing values than did individuals from NC species (0.655). In this study, the dendrogram obtained by the seven decamer primers indicates three genetic clusters: cluster 1 (CONCINNA 01~CONCINNA 07), cluster 2 (HANNAI 08~HANNAI 14), cluster 3 (SUPERTEXTA 15~SUPERTEXTA 21). Comparatively, individuals of HDH species were fairly closely related to that of SDS species, as shown in the hierarchical dendrogram of genetic distances.