• Horticultural Science & Technology
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• v.33 no.5
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• pp.737-750
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• 2015

This study was carried out to construct a DNA profile database for 102 watermelon cultivars through the comparison of polymorphism level and genetic relatedness using genomic microsatellite (gMS) and expressed sequence tag (EST)-microsatellite (eMS) markers. Sixteen gMS and 10 eMS primers showed hyper-variability and were able to represent the genetic variation within 102 watermelon cultivars. With gMS markers, an average of 3.63 alleles per marker were detected with a polymorphism information content (PIC) value of 0.479, whereas with eMS markers, the average number of alleles per marker was 2.50 and the PIC value was 0.425, indicating that eMS detects a lower polymorphism level compared to gMS. Cluster analysis and Jaccard's genetic distance coefficients using the unweighted pair group method with arithmetic average (UPGMA) based on the gMS, eMS, and combined data sets showed that 102 commercial watermelon cultivars could be categorized into 6 to 8 major groups corresponding to phenotypic traits. Moreover, this method was sufficient to identify 78 out of 102 cultivars. Correlation analysis with Mantel tests for those clusters using 3 data sets showed high correlation ($r{\geq}0.80$). Therefore, the microsatellite markers used in this study may serve as a useful tool for germplasm evaluation, genetic purity assessment, and fingerprinting of watermelon cultivars.

• Journal of Life Science
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• v.23 no.6
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• pp.721-727
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• 2013

The objective of this study was to evaluate the suitability of microsatellite markers for variety identification in 42 apple varieties. For microsatellite analysis, 305 primer pairs were screened in 8 varieties and twenty six primer pairs showed polymorphism with clear band pattern and repetitive reproducibility. A total of 165 polymorphic amplified fragments were obtained in 42 varieties using 26 markers. Two to twelve alleles were detected for each locus with an average of 6.4 alleles per locus. A value of polymorphism information content (PIC) ranged from 0.461 to 0.849 with an average of 0.665. A total of 165 marker loci were used to calculate Jaccard's distance coefficients using unweighted pair-group method with arithmetical average (UPGMA) cluster analysis. Genetic distance of cluster ranged from 0.27 to 1.00. Analysis of genetic relationship revealed that these 26 microsatellite marker sets discriminated a total of 41 varieties except for 1 variety among 42 varieties. These markers will be utilized as molecular data in variety identification of apple.

• The Korean Journal of Mycology
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• v.26 no.2 s.85
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• pp.163-172
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• 1998

Thirty six strains of Pleurotus spp., from world-wide nations, were examined for interspecific isozyme variation. A comparison of isozymes in mycelial extracts of the fungal genus Pleurotus was made by polyacrylamide gel isoelectric focusing. A total of one hundred and sixty six bands was resolved from six isozymes. A cluster analysis was done based on the zymograms for esterase, glucosephosphate isomerase, leucine aminopeptidase, malate dehydrogenase, peroxidase, and phosphoglucomutase. From the isozyme analysis, esterase showed higher degree of variability, while it was observed less variability for the enzymes such as glucosephosphate isomerase, malate dehydrogenase, and phosphoglucomutase. The species P. ostreatus, whose taxon is controversial, was discriminated from P. pulmonarius, while P. florida was classified as a distinct taxon. The clustering of P. sapidus and P. spodoleucus strains appeared to be more difficult. It was found that some strains were included to another cluster based on electrophoretic banding patterns. These results show that this lack of congruence among data sets may help explain the taxonomic difficulty within the genus Pleurotus. A dendrogram of genetic similarities was presented, and applications of isozyme data to the systematics of these commercially important fungi was discussed.

• Journal of Korea Water Resources Association
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• v.49 no.4
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• pp.335-346
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• 2016

This study produced the parameter maps of the Modified Bartlett-Lewis Rectangular Pulse (MBLRP) stochastic rainfall generation model across South Korea and developed and validated the web application that automates the process of rainfall generation based on the produced parameter maps. To achieve this purpose, three deferent sets of parameters of the MBLRP model were estimated at 62 ground gage locations in South Korea depending on the distinct purpose of the synthetic rainfall time series to be used in hydrologic modeling (i.e. flood modeling, runoff modeling, and general purpose). The estimated parameters were spatially interpolated using the Ordinary Kriging method to produce the parameter maps across South Korea. Then, a web application has been developed to automate the process of synthetic rainfall generation based on the parameter maps. For validation, the synthetic rainfall time series has been created using the web application and then various rainfall statistics including mean, variance, autocorrelation, probability of zero rainfall, extreme rainfall, extreme flood, and runoff depth were calculated, then these values were compared to the ones based on the observed rainfall time series. The mean, variance, autocorrelation, and probability of zero rainfall of the synthetic rainfall were similar to the ones of the observed rainfall while the extreme rainfall and extreme flood value were smaller than the ones derived from the observed rainfall by the degree of 16%-40%. Lastly, the web application developed in this study automates the entire process of synthetic rainfall generation, so we expect the application to be used in a variety of hydrologic analysis needing rainfall data.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.37 no.5
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• pp.891-903
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• 2017

In recent days, school violence has been rising as a significant social problem. The occurrence of school violence can be fueled by a wide range of social and environmental contexts, thus it is very difficult to come up with the ultimate solution. Community CPTED program is one of the more comprehensive set of efforts that has been developed to prevent crime in general, and the primary focus of the study is to investigate suitable components of CPTED to prevent school violence based on the physical conditions of communities as well as the perception of residents outside of school grounds, in the vicinity of schools. Three sets of analyses in series were employed in the research. First, Ward's minimum-variance cluster analysis was used to classify the places where school violence can occur outside of school grounds based on the physical conditions recognized by local residents. Next, Importance-Performance Analysis was performed to analyze the perception of local residents about the importance and the effectiveness of CPTED components in preventing school violence. Subsequently, Ordered Logit Model was used to analyze the local residents' awareness on safety regarding school violence in their community space. Combining the results of the analyses, the priority of the community CPTED applications to prevent school violence outside of school was derived. Reflecting the local residents' perception on safety of students in their community, the sense of security in communities against school violence can be reinforced by the communities' sensible efforts in creating safer environment for their students.

• Journal of Life Science
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• v.16 no.6
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• pp.1001-1005
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• 2006

The objective of this study was carried out to evaluate the suitability of simple sequence repeat (SSR) markers for genetic diversity assessment and identification of rice varieties. The 23 primers selected from 50 SSR primers showed polymorphisms in the 21 rice varieties. The 2 to 9 SSR alleles were detected for each locus with an average of 3.00 alleles per locus. The polymorphism information content (PIC) ranged form 0.091 to 0.839. Based on band patterns, UPGMA cluster analysis was conducted. These varieties were separate into 4 groups corresponding to rice ecotype and pedigree information and genetic distance of cluster ranging from 0.59 to 0.92. The 4 SSR primer sets (RM206, RM225, RM418, RM478) selected form 23 polymorphic primers were differentiated all the rice variety from each other by markers genotypes. These markers may be used wide range of practical application in variety identification of rice.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.4
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• pp.139-145
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• 2016

On the ICT healing platform designed to issue early disease alerts, TOS connected between the provider of personal health-related data and the service provider and relayed personalized health data. In the previous study, TOS proposed how to monitor the retrieval and management of document/measurement resources by taking mobile devices into account. Recently the healthcare field, however, defined the standard items needed for communication and data exchanges with a mobile device through HL7 FHIR. This study designed a data grid model between TOS and FHIR to provide personal health resources relayed through TOS in FHIR bundle search sets. The proposed design was organized as follows: first, it stated similarities between the method of TOS resource request and that of FHIR observation request. Then, it designed an eventbus module to process a retrieval request for FHIR service based on the imdb and cluster technologies. The proposed design can be used to expand the old service terminals of ICT healing platform to mobile health devices capable of using FHIR resources.

• The Korean Journal of Applied Statistics
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• v.22 no.4
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• pp.723-733
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• 2009

The crucial problems of K-means clustering are deciding the number of clusters and initial centroids of clusters. Hence, the steps of K-means clustering are generally consisted of two-stage clustering procedure. The first stage is to run hierarchical clusters to obtain the number of clusters and cluster centroids and second stage is to run nonhierarchical K-means clustering using the results of first stage. Here we provide automated K-means clustering procedure to be useful to obtain initial centroids of clusters which can also be useful for large data sets, and provide software program implemented using R.

• The Korean Journal of Applied Statistics
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• v.22 no.4
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• pp.855-864
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• 2009

Canonical correlation biplot is 2-dimensional plot for investigating the relationship between two sets of variables and the relationship between observations and variables in canonical correlation analysis graphically. Recently, Choi and Choi (2008) suggested a method for investigating the relationship between skill and competition score factors of KLPGA players using canonical correlation biplot and cluster analysis. analysis. Procrustes analysis is very useful tool for comparing shape between configurations. Therefore, in this study, we will provide a method for investigating the relationship between player characteristic factors and competitive factors of tennis grand slams competition using Canonical correlation biplot and Procrustes analysis.

• Korean Journal of Medicinal Crop Science
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• v.23 no.6
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• pp.439-445
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• 2015

Background : Correct identification of Panax species is important to ensure food quality, safety, authenticity and health for consumers. This paper describes a high resolution melting (HRM) analysis based method using internal transcribed spacer (ITS) and 5.8S ribosomal DNA barcoding regions as target (Bar-HRM) to obtain barcoding information for the major Panax species and to identify the origin of ginseng plant. Methods and Results : A PCR-based approach, Bar-HRM was developed to discriminate among Panax species. In this study, the ITS1, ITS2, and 5.8S rDNA genes were targeted for testing, since these have been identified as suitable genes for use in the identification of Panax species. The HRM analysis generated cluster patterns that were specific and sensitive enough to detect small sequence differences among the tested Panax species. Conclusion : The results of this study show that the HRM curve analysis of the ITS regions and 5.8S rDNA sequences is a simple, quick, and reproducible method. It can simultaneously identify three Panax species and screen for variants. Thus, ITS1HRM and 5.8SHRM primer sets can be used to distinguish among Panax species.