• The Transactions of the Korean Institute of Electrical Engineers P
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• v.66 no.4
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• pp.151-157
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• 2017

In this paper, it is the result of analysis of the stability by power system analysis about the influence on the power system when the southwest - offshore wind power demonstration complex is constructed to 60MW and it is linked with the onshore power system. Considering the position of the wind turbine actually installed and the length of the cooperating line, we modeled the wind generators, offshore substation and the turbine step-up transformer. Changes of voltage when internal and external faults occurred is analyzed and the reactive power demand according to the amount of electricity generation is derived. And also phase angle stability and frequency is observed through a transient analysis. This paper clarify that there is no problem in the system when only offshore wind power is linked with the grid and try to present the reactive power amount necessary for maintaining the voltage of the point of cooperation appropriately.

• Journal of Korea Trade
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• v.23 no.7
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• pp.64-82
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• 2019

Purpose - This study's the ultimate goal is to analyze competitiveness improvement on multinational enterprises as firstly providing which factors are to strengthen or weaken competitiveness, secondly investigating if hypotheses development and research design is correct and thirdly finding significant implications for research and practices across country specific advantage. Design/methodology - Using feedback data provided by 250 firms, we extracted variable factors and hypotheses, which were empirically carried out by reliability and validity testing, correlation analysis, path analysis, and confirmatory factor analysis to prove which factors are to make the positive effect on the improvement of overseas subsidiaries' management performance and competitiveness. Findings - Through proceeding empirical analysis study, we found out that technology management capability, knowledge management capability, and local management capability had a statistically significant effect on the improvement of overseas subsidiaries' competitiveness, while linked activity capability revealed a negative effect. Originality/value - During business globalization, overseas investments and establishment of overseas subsidiaries have been essential. It is anticipated that this study results would be meaningful for analysis on multinational enterprises' competitiveness and helpful in promoting their entry into Korean market and enhancing their competitiveness. This paper would also help Korea government develops new FDI model and induce more investment from global major companies to Korea region.

• Proceedings of the Zoological Society Korea Conference
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• 2003.08a
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• pp.211.2-211
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• 2003

No Abstract, See Full Text

• Proceedings of the Korean Society of Crop Science Conference
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• 2001.05a
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• pp.61-61
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• 2001

• Proceedings of the Korean Nuclear Society Conference
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• 2004.10a
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• pp.547-548
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• 2004

• Journal of Korean Elementary Science Education
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• v.35 no.3
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• pp.377-387
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• 2016

Whether textbooks faithfully reflect the curriculum contents is an important educational issue. The previous studies on the textbooks did not analyze the relationship described in the textbooks or the structure. In this regard, this study aims to analyze how the concept of life science area in the elementary school science textbooks developed on the basis of the 2009 revised curriculum is linked. In addition, it seeks to analyze how the concept presented in the learning content achievement standards of the curriculum is connected to other concepts. Towards this end, the conceptual linkage of eight units in the life science domain of elementary school science textbooks based on the 2009 revised curriculum was analyzed. The contents of the life science domain in the science textbooks were analyzed through a semantic network analysis, and the semantic network on the concept linked to the one described in curriculum's learning objectives was also analyzed. The results are as follows: 1) It will be difficult for students to understand the concept due to the complexity of the semantic network resulting from a number of concepts. 2) The curriculum's learning objectives presented in the curriculum are not faithfully reflected in the textbooks. 3) The textbooks are described on the basis of specific curriculum's learning objectives. Based on the findings of this study, the number of concepts described in the elementary school science textbooks needs to be significantly reduced so that the concepts can be meaningfully linked to each other.

• Journal of Crop Science and Biotechnology
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• v.11 no.2
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• pp.101-106
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• 2008

To identify inheritance of clubroot disease resistance genes in Chinese cabbage, seedling tests of $BC_1P_1,\;BC_1P_2$, and $F_2$ populations derived from $F_1$ hybrid(var. CR Saerona) using single spore isolate(race 4 identified with William's differential host) from Plasmodiophora brassciae were conducted. Resistance(R) and susceptible(S) plants segregated to 1:0 in backcross to the resistant parent. The $F_2$ population segregated in a 3(R):1(S) ratio. This result implied that the resistance of clubroot disease is controlled by a single dominant gene to the race 4 of P. brassicae in CR Saerona. To develop DNA markers linked to clubroot resistance genes, 185 plants of CR Saerona among $F_2$ populations were used. A total of 300 arbitrary decamer was applied to $F_2$ population using BSARAPD(Bulked segregant analysis-Randomly amplified polymorphic DNA). One RAPD marker linked to clubroot resistance gene in CR Saerona($OPJ_{1100}$) was identified. This marker was 3.1 cM in distance from resistance gene in $F_2$ population. This marker may be useful for a marker-assisted selection(MAS) and gene pyramiding of the clubroot disease resistant gene in Chinese cabbage breeding programs.

• Food Science of Animal Resources
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• v.21 no.4
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• pp.367-373
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• 2001

Glycoproteins PAS-6(50 kDa) and -7(47 kDa) from the bovine milk fat globule membrane share a common protein core but differ in their carbohydrate moiety. We have analyzed and proposed the structures of the N-linked sugar chains of PAS-7 by Oxford Glyco System(OGS) RAAM2000. The N-linked sugar chains were liberated from PAS-7 by hydrazinolysis and, after modifying the reducing ends with 2-aminobenzamide(2-AB), were separated into one neutral(7N, 55%) and two acidic(7M, mono-, 43%; 7D, di-, 2%) sugar chain groups. 7N was finally separated into 5 chains(a, b, c, d, and e), respectively. The structure of this 2AB-neutral sugar chain was determined by sugar analysis, exoglycosidase digestion with OGS glycosidase Kit and OGS RAAM2000 system. The results show that fraction e was the same of reported 7N1A, the biantennary complex type with a fucose on reducing end and two N-acetyllactosamine branch on non-reducing end. Therefore, it was proved that OGS RAAM2000 method is in conformity with conventional analysis of sugar chain structure from bovine PAS-7.

• The Korean Journal of Applied Statistics
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• v.18 no.3
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• pp.533-541
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• 2005

We identify the correct chromosome and locate the corresponding markers close to the QTL in the linkage analysis of a quantitative trait by using the SSVS method. We consider several markers linked to the QTL, as well as to each oyher and thus the i.b.d. values at these loci generate collinear predictors to be evaluated when using the SSVS approach. The results on considering only closely linked markers to two QTL simultaneously showed clear evidence in favor of the closest marker to the QTL considered over other markers. The results of the analysis of collinear markers with SSVS showeed high concordance to those obtained using traditional multiple regression. We conclude based on this simulation study that the SSVS is quite useful to identify linkage with multiple linked markers simultaneously for a complex quantitative trait.

• Journal of Intelligence and Information Systems
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• v.7 no.2
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• pp.19-33
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• 2001

Link weight analysis approach is suggested as a heuristic for selection of input nodes in artificial neural network for bankruptcy prediction. That is to analyze each input node\\\\`s link weight-absolute value of link weight between an input node and a hidden node in a well-trained neural network model. Prediction accuracy of three methods in this approach, -weak-linked-neurons elimination method, strong-linked-neurons selection method and integrated link weight model-is compared with that of decision tree and multivariate discrimination analysis. In result, the methods suggested in this study show higher accuracy than decision tree and multivariate discrimination analysis. Especially an integrated model has much higher accuracy than any individual models.