• Journal of KIISE:Computing Practices and Letters
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• v.12 no.5
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• pp.286-299
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• 2006

Due to the continuing technical progress in the capabilities of modeling, simulation, and sensor devices, huge volume data with very high resolution are common. In scientific visualization, various interactive real-time techniques on high performance parallel computers to effectively render such large scale volume data sets have been proposed. In this paper, we present a mobile volume visualization system that consists of mobile clients, gateways, and parallel rendering servers. The mobile clients allow to explore the regions of interests adaptively in higher resolution level as well as specify rendering / viewing parameters interactively which are sent to parallel rendering server. The gateways play a role in managing requests / responses between mobile clients and parallel rendering servers for stable services. The parallel rendering servers visualize the specified sub-volume with rendering contexts from clients and then transfer the high quality final images back. This proposed system lets multi-users with PDA simultaneously share commonly interesting parts of huge volume, rendering contexts, and final images through CSCW(Computer Supported Cooperative Work) mode.

• Horticultural Science & Technology
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• v.32 no.2
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• pp.210-216
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• 2014

The distribution of S-haplotypes and genetic relationships were evaluated for 47 accessions of 'Danji' radish (Raphanus sativus L. var. hortensis Baker f. gigantissimus Makino) originating from Jeju Island in South Korea. A total of 22 S-haplotype-specific SCAR markers for the S locus glycoprotein (SLG) and S receptor kinase (SRK) loci were tested, and six primer sets amplified locus-specific PCR fragments from at least one 'Danji' radish accession. S5 and S21 alleles atthe SLG locus were the most frequently distributed, and detected from 87.5% and 64.6% of the accessions, respectively. The frequency of the class-II haplotype at the SLG locus was 75%, more frequent than the class-I haplotype. The S23 allele at the SRK locus was detected from 7 accessions. Grouping of the accessions based on S-allele composition revealed three major groups, while 8 accessions showed a unique allelic composition. The genetic diversity of 47 'Danji' radishes and 1 'Gwandong' radish were also evaluated with 38 RAPD primers. A total of 312 bands were scored, and showed that 138 bands (44.2%) were monomorphic among the accessions, whereas 174 (55.8%) bands were polymorphic. Polymorphism rates ranged from 0.2 to 1.0, indicating significant variations in detecting polymorphism across RAPD primers. The genetic similarity coefficients among all pairs of the 48accessions varied from 0.62 to 0.93, and 42% of the comparisons exhibited values higher than 0.85. All the cultivars could be distinguished based on the DNA fingerprints revealed by RAPD. The comparisons between the dendrograms based on S-haplotypes and RAPDs indicate an unrelated and sporadic distribution for several accessions; however, there was a tendency for accessions with the same S-allelic composition to group into the same cluster.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.11
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• pp.2827-2848
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• 2012

Previously, we described a social media cloud computing service environment (SMCCSE). This SMCCSE supports the development of social networking services (SNSs) that include audio, image, and video formats. A social media cloud computing PaaS platform, a core component in a SMCCSE, processes large amounts of social media in a parallel and distributed manner for supporting a reliable SNS. Here, we propose a Hadoop-based multimedia system for image and video transcoding processing, necessary functions of our PaaS platform. Our system consists of two modules, including an image transcoding module and a video transcoding module. We also design and implement the system by using a MapReduce framework running on a Hadoop Distributed File System (HDFS) and the media processing libraries Xuggler and JAI. In this way, our system exponentially reduces the encoding time for transcoding large amounts of image and video files into specific formats depending on user-requested options (such as resolution, bit rate, and frame rate). In order to evaluate system performance, we measure the total image and video transcoding time for image and video data sets, respectively, under various experimental conditions. In addition, we compare the video transcoding performance of our cloud-based approach with that of the traditional frame-level parallel processing-based approach. Based on experiments performed on a 28-node cluster, the proposed Hadoop-based multimedia transcoding system delivers excellent speed and quality.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.414-417
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• 2007

Citation matching (CM) is a method for clustering citation records that refer to the same paper. Normally, CM is preceded by citation field segmentation (CFS) which divides a citation record into its fields such as author(s), a title, a title of publication, year, etc. Although many studies have attacked CFS and CM, the relationship between CFS and CM was not sufficiently explored. Among many aspects of the effect of CFS on CM, this study concentrates on what citation fields should identify for CM. As its first attempt, we compared CM performances over different sets of citation fields manually segmented, and confirmed that the use of more citation fields help CM to cluster citation records better.

• Microbiology and Biotechnology Letters
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• v.48 no.3
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• pp.373-382
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• 2020

Candidatus Carsonella ruddii is an endosymbiont that resides in specialized cells within the body cavity of plant sap-feeding insects called psyllids. The establishment of symbiotic associations is considered one of the key factors for the evolutionary success of psyllids, as it may have helped them adapt to imbalanced food resources like plant sap. Although C. ruddii is defined as a psyllid primary symbiont, the genes for some essential amino acid pathways are absent. Complete genome sequences of several C. ruddii strains have been published. However, in-depth intra-species comparison of C. ruddii strains has not yet been done. This study therefore aimed to perform a comparative genome analysis of six C. ruddii strains, allowing the interrogation of phylogenetic group, functional category of genes, and biosynthetic pathway analysis. Accordingly, overall genome size, number of genes, and GC content of C. ruddii strains were reduced. Phylogenetic analysis based on the whole genome proteomes of 30 related bacterial strains revealed that the six C. ruddii strains form a cluster in same clade. Biosynthetic pathway analysis showed that complete sets of genes for biosynthesis of essential amino acids, except tryptophan, are absent in six C. ruddii strains. All genes for tryptophan biosynthesis are present in three C. ruddii strains (BC, BT, and YCCR). It is likely that the host may depend on a secondary symbiont to complement its deficient diet. Overall, it is therefore possible that C. ruddii is being driven to extinction and replacement by new symbionts.

• Journal of Korean Society on Water Environment
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• v.28 no.2
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• pp.202-212
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• 2012

Due to the deterioration of water supply network and the deficiency of raw water, the water utility of local governments have performed various projects to improve their revenue water ratio. However, it is very difficult to estimate the cost for maintaining the revenue water ratio at higher level after completing the project, because local governments have different conditions affecting the operating and maintenance cost of water supply network. The purpose of this study is to present a procedure to estimate the operating and maintenance cost required to maintain the target revenue water ratio of the water supply network. For this purpose, we estimated the cost used only for operation and maintenance of water supply network of 164 local governments with the aid of K-Mean Clustering Analysis and the data from 40 representative local governments. Then, the regression analysis was performed to find relationship between revenue water ratio and the operating and maintenance cost with two different data sets generated by two classification methods; the first method classifies the local governments by means of k-means clustering, and the other classifies the local governments according to the index standardized by the operating and maintenance cost per unit length of water mains per revenue water ratio. The results shows that the method based on the index standardized by the cost and revenue water ratio of each government produces more reliable results for finding regression equations between revenue water ratio and the operating and maintenance cost only for water supply network. The estimated regression equations for each group can be used to estimate the cost required to keep the target revenue water ratio of the local government.

• The Journal of Bigdata
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• v.4 no.2
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• pp.115-126
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• 2019

There have been many discussions on export indices in trade exports, but there is no definite trade export index which can be explained by objective indicators. Korea International Trade Association (KITA), Korea Trade-Investment Promotion Agency (KOTRA), etc., but we are currently in the process of thinking about ways to express the capabilities of exporting companies. In this study, we constructed the AI data sets by setting the activity indicators such as the size of the company and the credit score, the number of transaction customers, the number of transactions, the number of items, the transaction volume, and the transaction period as features, Lightgbm. Using the Graph Neural Network as an industrial cluster classification model, the export live index which expresses the exportable capacity among companies, items, and business groups was calculated. This includes the past activity of the company from the current calculating index Objectivity.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.7
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• pp.1053-1064
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• 2010

This study investigates the Korean loungewear market and the traditional culture values of consumers related to loungewear to examine the preference of Korean traditional details, sewing techniques in loungewear design, and purchasing intentions. A survey method was used in this study. A total of 230 self-administered questionnaires were obtained from female consumers and 214 data sets were used for analysis. For the analysis, factor analysis, cluster analysis, and ANOVA were executed with PASW Statistics 18.0 and a structural equation model was estimated by Amos 18.0. The results are as follows. Traditional culture values were classified into two dimensions, traditional succession value and traditional design preference value. In the structure equation model, the traditional design preference value had a significant effect on the preference and the traditional culture succession value had significant effect on purchase intention. The results proved that the preference on loungewear with Korean traditional elements is closely related to purchase intention. Consumer groups were divided into three groups by traditional culture values factor; traditional culture succession group, traditional design preference group, and traditional culture indifference group. Style preference images showed significant differences in relation to traditional culture groups. This study is for use as fundamental knowledge on traditional loungewear brand development and strategy planning by offering specific traditional culture aspects associated with preference and purchase intentions.

• Journal of Plant Biotechnology
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• v.43 no.2
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• pp.181-188
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• 2016

In this study, we developed 15 novel polymorphic simple sequence repeat (SSR) markers by SSR-enriched genomic library construction from Codonopsis lanceolata. We obtained a total of 226 non-redundant contig sequences from the assembly process and designed primer sets. These markers were applied to 53 accessions representing the cultivated C. lanceolata in South Korea. Fifteen markers were sufficiently polymorphic, and were used to analyze the genetic relationships between the cultivated C. lanceolata. One hundred three alleles of the 15 SSR markers ranged from 3 to 19 alleles at each locus, with an average of 6.87. By cluster analysis, we detected clear genetic differences in most of the accessions, with genetic distance varying from 0.73 to 0.93. Phylogenic analysis indicated that the accessions that were collected from the same area were distributed evenly in the phylogenetic tree. These results indicate that there is no correlative genetic relationship between geographic areas. These markers will be useful in differentiating C. lanceolata genetic resources and in selecting suitable lines for a systemic breeding program.

• Journal of Korean Society of Transportation
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• v.29 no.2
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• pp.101-109
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• 2011

In most of the urbanized cities, socio-economic attributes tend to cluster as patterns of similarity in space, namely spatial autocorrelation, by agglomeration forces. The classical linear regression model, the most frequently adopted in the trip generation step, cannot sufficiently represent this effect. In order to take into account the effect properly, we need a model which adequately deals with the spatial dependence patterns. In this study, the Geographically Weighted Regression (GWR) model is adopted as an alternative method for the local analysis of relationships in multivariate data sets; that is GWR extends this traditional regression framework by estimating local rather than global parameters. This study shows the existence of spatial effects in the production and attraction of home base/non-home based trips through the GWR model using travel data collected in Daegu metropolitan area. Furthermore, LISA is employed to verify the fact that the local spatial autocorrelation exists.