• Journal of the Korea institute for structural maintenance and inspection
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• v.10 no.5
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• pp.203-211
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• 2006

In this paper, the optimization of direct design system of steel frames by genetic algorithm involving advanced analysis are performed. For the analysis of steel frames advanced analysis accounting for geometric nonlinearity and material nonlinearity are executed. The genetic algorithm was used as optimization technique. The weight of structures is treated as the objective function. The constraint functions are defined by load-carrying capacities, deflections, inter-story drifts, and ductility requirement. The effectiveness of the proposed method are verified by comparing the results of the proposed method with those of other method.

• Research in Plant Disease
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• v.22 no.3
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• pp.194-197
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• 2016

Chinese yam necrotic mosaic virus (CYNMV) is one of the most widespread viruses in Chinese yam (Dioscorea opposita Thunb.) and causes serious yield losses. Currently, genetic information of CYNMV is very restricted and complete genome sequences of only two isolates (one from Japan and another from China) have been reported. In this study, we determined complete genome sequence of the CYNMV isolate AD collected from Andong, Korea. Genetic analysis of the polyprotein amino acid sequence revealed that the Korean isolate AD has high similarity with the Japanese isolate PES3 (97%) but relatively low similarity with the Chinese isolate FX1 (78%). Phylogenetic analysis using the CYNMV 3' proximal nucleotide sequences harboring the coat protein and 3' untranslated region further supported genetic relationship among the CYNMV isolates. Based on comparative analysis of the CYNMV genome sequences determined in this study and other previous studies, we generated molecular detection primers that are highly specific and efficient for CYNMV diagnosis.

• Genomics & Informatics
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• v.18 no.3
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• pp.30.1-30.7
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• 2020

The novel coronavirus pandemic that has originated from China and spread throughout the world in three months. Genome of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) predecessor, severe acute respiratory syndrome coronavirus (SARS-CoV) and Middle East respiratory syndrome coronavirus (MERS-CoV) play an important role in understanding the concept of genetic variation. In this paper, the genomic data accessed from National Center for Biotechnology Information (NCBI) through Molecular Evolutionary Genetic Analysis (MEGA) for statistical analysis. Firstly, the Bayesian information criterion (BIC) and Akaike information criterion (AICc) are used to evaluate the best substitution pattern. Secondly, the maximum likelihood method used to estimate of transition/transversions (R) through Kimura-2, Tamura-3, Hasegawa-Kishino-Yano, and Tamura-Nei nucleotide substitutions model. Thirdly and finally nucleotide frequencies computed based on genomic data of NCBI. The results indicate that general times reversible model has the lowest BIC and AICc score 347,394 and 347,287, respectively. The transition/transversions bias for nucleotide substitutions models varies from 0.56 to 0.59 in MEGA output. The average nitrogenous bases frequency of U, C, A, and G are 31.74, 19.48, 28.04, and 20.74, respectively in percentages. Overall the genomic data analysis of SARS-CoV-2, SARS-CoV, and MERS-CoV highlights the close genetic relationship.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.102-108
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• 2020

This study was conducted to investigate the genetic diversity and genetic taxonomic relationships between Korean native black goat (KNBG) populations and crossbred goats. The 45,658 common single nucleotide polymorphisms present in the KNBG strain and crossbred goat were used for the analysis. The expected and observed heterozygosity (which can be indicators of genetic diversity) were in the order of crossbred, Gyeongsang National University, Jangsu, then the Tongyeong strains. The variance component represents the degree of genetic diversity between groups. The highest variance (19.98 %) was between the Dangjin and Gyeongsang National University strains. The lowest variance (8.87 %) was between the Jangsu and Tongyeong strains. In addition, the genetic distance between the populations showed that Jangsu and Tongyeong formed one branch (they were very similar genetically). The Dangjin and the Gyeongsang National University strains appeared to form a second branch. Furthermore, the crossbred formed one branch with the Dangjin and the Gyeongsang National University strains. Therefore, the results of this study can be used as basic data to reduce unnecessary inbreeding and genetic resource flow between the KNBG populations. The basic data indicates the uniqueness of the genetic resources of the domestic lineage. These findings provide a basis for differentiating KNBG and Crossbred goats to use to improve the desirable characteristics of this species.

• Proceedings of the Korean Geotechical Society Conference
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• 1999.10a
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• pp.415-422
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• 1999

This paper describes a new optimum design approach for piled raft foundations using the genetic algorithm. The objective function considered is the cost-based total weight of raft and piles. The genetic algorithm is a search or optimization technique based on nature selection. Successive generation evolves more fit individuals on the basis of the Darwinism survival of the fittest. In formulating the genetic algorithm-based optimum design procedure, the analysis of piled raft foundations is peformed based on the 'hybrid'approach developed by Clancy(1993), and also the simple genetic algorithm proposed by the Goldberg(1989) is used. To evaluate a validity of the optimum design procedure proposed based on the genetic algorithm, comparisons regarding optimal pile placement for minimizing differential settlements by Kim et at.(1999) are made. In addition using proposed design procedure, design examples are presented.

• The Journal of Korean Medicine
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• v.27 no.2 s.66
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• pp.225-231
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• 2006

Objectives : This study was performed to determine if unknown species of antler samples could be identified by genetic distance methods. Methods : The DNAs of 4 antler samples were extracted, amplified by PCR, and sequenced. The DNAs of antlers were identified by genetic distance. Genetic distance method was made using MEGA software (Molecular Evolutionary Genetics Analysis, 3.1). Results : By genetic distance methods, all 4 antler samples were closest to Cervus elaphus nelsoni among Cervus species. Conclusion : These results suggest that genetic distance methods might be used as a tool for the identification of Cervus species.

• Journal of Aquaculture
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• v.16 no.2
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• pp.69-75
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• 2003

Genetic variability and population structure of 11 natural ayu, Plecoglossus altivelis populations and one hatchery stock were assessed by starch gel electrophoretic analysis with 10 enzyme coding loci. Three loci were polymorphic (lower than 0.95 in major allele frequency) in natural populations,2 loci in hatchery stock. The average number of alleles per locus was 1.38. Observed heterozygosities ranged from 0.0235 to 0.088 (0.055 on the average) in natural population while 0.0925 in hatchery stock. The genetic distance among natural populations measured 0.000047-0.005407 and no significant differentiation was observed among them. On the other hand, a signifcant genetic distance was found between natural populations and the hatchery stock with measuring 0.002032-0.O08605. The results in this study suggest that the hatchery stock has diverged from natural populations, and also that careful to maintain sustainable and effective population size (parents number) should be made.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.06a
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• pp.1701-1704
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• 2003

This paper presents a new optimization technique of acceleration curve for a wafer transfer crane movement in which high speed and low vibration are desirable. This technique is based on a genetic algorithm with a penalty function for acceleration optimization under the assumption that an initial profile of acceleration curves constitutes the first generation of the genetic algorithm. Especially the penalty function consists of the violation of constraints and the number of violated constraints. The proposed penalty function makes the convergence rate of optimization process using the genetic algorithm more faster than the case of genetic algorithm without a penalty function. The optimized acceleration of the crane through the genetic algorithm and commercial dynamic analysis software has shown to have accurate movement and low vibration.

• Plant Resources
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• v.5 no.1
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• pp.86-94
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• 2002

This study characterized the genetic variations of 13 populations of Asplenium antiquum and its relative species using randomly amplified polymorphic DNA (RAPD) markers. A total 88 scorable RAPD bands were generated by the 12 random oligo primers and were analyzed by Nei and Li's genetic distance. High genetic variability was detected between A. antiquum and A. nidus, with the range from 0.568 to 0.682. And slightly low genetic variations showed within the populations of same species. Seven populations of A. antiquum showed slight differences (0.000-0.216), and five populations of A. nidus showed similar low genetic variations (0.114 to 0.171). Two individuals from Sup-seom Island which are growing in might be the regenerated one from abroad. A. antiquum were clustered as two groups (Group I, Group II) by UPGMA phenogram. And five populations of A. nidus were clustered as two groups correlated with geographical distribution. The RAPD data was very useful to define the genetic variations and to discuss the phylogenetic relationships among A. antiquum and the related species..

• Korean Journal of Plant Resources
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• v.19 no.6
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• pp.677-679
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• 2006

The objectives of this study were to examine the genetic variation of 20-year-old tree height and to estimate heritabilities and genetic gains of Korean white pine. Analysis of variance showed that families and family x block interaction had the significant (p=0.01) effects on tree height. However, family variation appears to be much greater than the variation due to family x block interaction. Individual tree heritability was higher ($h_I^2=0.73$) than family heritability, ($h_F^2=0.83$) therefore, combined selection showed the largest genetic gain (17.76%) in a given equal intensity of selection.