• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.3B
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• pp.123-134
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• 2008

In this paper, a routing algorithm for wireless sensor networks is proposed to improve the efficiency of energy consumption in sensor nodes. Each sensor node has the value called ‘Flooding Level’ obtained through the initial flooding from a sink node instead of sending beacon messages in multi-hop sensor field. This value can be used for guaranteeing the sensor nodes to connect with a sink node and determining the roles of cluster-head and cluster-gateway node efficiently and simply during the clustering. If different algorithms are added to our protocol, it will work better in the side of energyefficiency. This algorithm is evaluated through analysis and extensive simulations.

• Korean Journal of Breeding Science
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• v.42 no.1
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• pp.11-22
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• 2010

The population structure of a domesticated species is influenced by the natural history of the populations of its pre-domesticated ancestors, as well as by the breeding system and complexity of breeding practices implemented by humans. In the genetic and population structure analysis of 122 South Asia collections using 29 simple sequence repeat (SSR) markers, 362 alleles were detected, with an average of 12.5 per locus. The average expected heterozygosity and polymorphism information content (PIC) for each SSR locus were 0.74 and 0.72,respectively. The model-based structure analysis revealed the presence of three clusters with the 91.8% (shared > 75%) membership, with 8.2% showing admixture. The genetic distances of Clusters 1-3 were 0.55, 0.56, and 0.68, respectively. Polymorphic information content followed the same trend (Cluster 3 had the highest value and Cluster 1 had smallest value), with genetic distances for each cluster of 0.52, 0.52, and 0.65, respectively. This result could be used for supporting rice breeding programs in South Asia countries.

• Journal of Forest and Environmental Science
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• v.35 no.2
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• pp.90-101
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• 2019

Biodiversity refers to the total number and variation among species of flora and fauna of an area. Due to tremendous biotic especially anthropogenic pressure these natural resources are being vanishing. In present study genetic diversity among accessions of Thamnocalamus spathiflorus was evaluated. A total of 51 vegetative characters and 42 primers (10-mer) were screened. Out of 42 screened primers, 28 polymorphic primers were selected for further analysis. A total of 263 bands were recorded as polymorphic whereas 48 bands were monomorphic. The resolving power (Rp) of 28 Randomly Amplified Polymorphic DNA (RAPD) primers ranged from 4.6 (OPE08) to 17.6 (OPA11). The polymorphic information content (PIC) value ranged from 0.21 (OPAH09) to 0.44 (OPG02). The result revealed high degree of genetic relatedness (56 to 80%). Cluster analysis revealed two major clusters both for morphology as well as RAPD. Unlike morphological characterization, the accession (D5) from Bahli, Rampur, Shimla (H.P.) was clustered separately from the others in RAPD cluster analysis. Accessions with closed locality grouped together through RAPD marker system however analogy was recorded for morphological traits. The study conducted reflects the utility of RAPD technique for species identification and phylogenetic studies in bamboo for conducting bamboo breeding program.

• Development and Reproduction
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• v.26 no.2
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• pp.91-98
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• 2022

Genomic DNA (gDNA) set apart from two populations of Korean Charybdis crab (Charybdis japonica) was augmented by PCR experiments. The five oligonucleotides primers (ONT-primers) were spent to yield the number of unique loci shared to each crab population (ULSECP) and number of loci shared by the two crab populations (LSTCP). 305 fragments (FRAGs) were identified in the Charybdis crab population A (CCPA), and 344 in the Charybdis crab population B (CCPB): 44 number of ULSECP (14.43%) in the CCPA and 110 (31.98%) in the CCPB. 44 number of LSTCP, with an average of 8.8 per primer, were detected in the two crab populations. The bandsharing (BS) value between entity's no. 01 and no. 10 was the lowest (0.371) between the two CCPs. The average bandsharing (ABS) values of individuals in the CCPA (0.575±0.014) were lesser than in those originated from the CCPB (0.705±0.011) (p < 0.05). The polar hierarchical dendrogram (PHD) achieved by the five ONT-primers denotes three genetic clusters (GCs): cluster I (CHARYBCRAB 01, 04, 05, 06, and 08), cluster II (CHARYBCRAB 02, 03, 07, 09, 10, and 11) and cluster III (CHARYBCRAB 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, and 22). The shortest genetic distance (GD) displaying significant molecular difference (MD) was between individuals CHARYBCRAB no. 18 and CHARYBCRAB no. 17 (0.055).

• Journal of the Economic Geographical Society of Korea
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• v.15 no.1
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• pp.42-62
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• 2012

This paper suggests a genuine method to estimate the agglomeration effects of Industrial Cluster focusing on the FOODPOLIS (KOREA NATIONAL FOOD CLUSTER). In this study, we will focus on two issues related to the clustering effect. First, Clusters affect productivity, and a cluster allows companies to operate more productively in inputs; accessing technology, human resource, information, services, and needed institutions. Second, we assume that the effects of Industrial Cluster can be estimated from measurement on differency of an added value between large-scale enterprises and smaller ones. To demonstrate effectiveness of this approach, the estimated effect was compared with that from the related study (A Mini-Cluster). Industry Clusters have been considered as critical factors for regional competitiveness and economic revitalization. For this, the government and local government should find a way and strategy to provide useful contents that can attract the participation of firms and to secure strategic positioning and competition strategies.

• The Korean Journal of Community Living Science
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• v.21 no.2
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• pp.211-225
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• 2010

This research investigated the purchasing behaviors of fur clothing consumers to verify fur clothing consumption and to establish marketing strategies for the fur clothing market. Since fur clothing has clear characteristics distinguishing it from other clothes, there are many differences in customers' interest. Therefore, it is needed to identify some differences in the customers' interest by their own buying habits. A survey was conducted with a questionnaire and revised by using a theoretical background. Questionnaires were given to 322 ladies in their over 20s. SPSS 12.0 was used to analyse the result with analysis of frequency, a primary factor, crossing, cluster and ANOVA. There were several results as follows. First, purchase behaviors of fur clothing were significantly different between groups divided by demographic variables such as marital status, age, and income level of household. Second, factor analysis on sought clothing benefits resulted in 4 dimensions such as symbolic value, brand value, economical value and practical value. Cluster analysis on the 4 factors of clothing benefits being sought resulted in 3 groups such as one group pursuing symbolism, one group pursuing practicism/economism and a group pursuing brand. Third, purchase behaviors of fur clothing and demographic variables were significantly different between the groups divided by clothing benefits being sought.

• Journal of the Korean Home Economics Association
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• v.38 no.10
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• pp.45-51
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• 2000

This study illucidated the importance of drop Value in the resets of surveying the current values of sizing and grading. Therefore, it is meaningful to get the classification of body form with the appropriate distribution of drop values of the body. The distribution of drop value and the frequency of each form is very helpful to name the combined sizing or coverage of ready-made clothes. This study aimed at classifying body forms with various drop values using multivariate analysis for sizing and grading. Factor analysis and cluster analysis were done using measured values from unmarried women. The resets are as follows; The factor which explains body forms was obtained by factor analysis, and the representative major 18 items which have important roles in classifying body forms were selected among the measured values with high factor loading and communality. 1) The body forms were classified into 3 groups based on the characteristics, frequencies and distributions of them obtained from cluster analysis. 2) Each classified body form showed conspicuous difference in drop value and the difference of body form mainly resulted from the difference between bust and hip(drop value) in Korean unmarried women. 3) Discriminant analysis showed that the most significant discriminant factor of the trunk classification were bust circumference, upper bust circumference, hip circumference and stature. 4) The cover ratio of size studied in this study for the Korean Sizing system for women's garment were founded high.

• Journal of the Korean Home Economics Association
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• v.43 no.9 s.211
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• pp.1-13
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• 2005

The purposes of this study were to classify internet shopping mall user by their shopping styles and to define the characteristics of the classified individual clusters. Questionnaires were completed by 338 men and women who have used internet shopping malls at lead once during the previous 6 months. The internet shopping styles were classified into 4 clusters after factor analysis and k-means cluster analysis. Cluster I, named 'high brand proneness', can be described as having low score on devotee tendency. Cluster II, named 'high value proneness', is characterized by a high score on seeking substance. Cluster III, called 'steadiness orientation', can be described as having a tow score on seeking trend and substance. Cluster IV, named 'individuality inclination', can be described as having low score on seeking trend. These four clusters differ in terms of socio-demographic and environmental characteristics such as gender, age, educational level, occupation, and internet using time. Theoretical and practical implications are discussed.

• Journal of The Korean Astronomical Society
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• v.40 no.4
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• pp.157-160
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• 2007

I present a model to explain the mass segregation and shallow mass functions observed in the central parts of starburst stellar clusters. The model assumes that the initial pre-stellar cores mass function resulting from the turbulent fragmentation of the proto-cluster cloud is significantly altered by the cores coalescence before they collapse to form stars. With appropriate, yet realistic parameters, this model based on the competition between cores coalescence and collapse reproduces the mass spectra of the well studied Arches cluster. Namely, the slopes at the intermediate and high mass ends, as well as the peculiar bump observed at $6M_{\bigodot}$. This coalescence-collapse process occurs on a short timescale of the order of the free fall time of the proto-cluster cloud (i.e., a few $10^4$ years), suggesting that mass segregation in Arches and similar clusters is primordial. The best fitting model implies the total mass of the Arches cluster is $1.45{\times}10^5M_{\bigodot}$, which is slightly higher than the often quoted, but completeness affected, observational value of a few $10^4M_{\bigodot}$. The model implies a star formation efficiency of ${\sim}30$ percent which implies that the Arches cluster is likely to a gravitationally bound system.

• The Bulletin of The Korean Astronomical Society
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• v.35 no.2
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• pp.39.1-39.1
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• 2010

We study the effects of the cluster environment on galactic morphology by defining a dimensionless angular momentum parameter ld, to obtain a quantitative and objective measure of galaxy type. The use of this physical parameter allows us to take the study of morphological transformations in clusters beyond the measurements of merely qualitative parameters, e.g. S/E ratios, to a more physical footing. To this end, we employ an extensive SDSS sample, with galaxies associated with Abell galaxy clusters. The sample contains 93 relaxed Abell clusters and over 34,000 individual galaxies. We find that the median ld value tends to decrease as we approach the cluster center, with different dependences according to the mass of the galaxies and the hosting cluster; low and intermediate mass galaxies showing a strong dependence, while massive galaxies seems to show, at all radii, low ld values. By analysing trends in ld as functions of the nearest galactic neighbour environment, clustercentric radius and velocity dispersion of clusters, we can identify clearly the leading physical processes at work. We find that in massive clusters (s > 700 km/s), the interaction with the cluster central region dominates, whilst in smaller clusters galaxy-galaxy interactions are chiefly responsible for driving galactic morphological transformations.