• Proceedings of the Korean Society of Marine Engineers Conference
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• 2012.06a
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• pp.148-149
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• 2012

• Proceedings of the Korean Society of Applied Pharmacology
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• 2004.04a
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• pp.53-57
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• 2004

• School Mathematics
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• v.2 no.2
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• pp.427-457
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• 2000

This study amis to develop an instrument to measure the behavior characteristics of the mathematically gifted children. The checklist represents 6 factors of characteristics - aptitude, attitude, inclination, general metal ability, creative ability and reflective ability in mathematics - which are from 36 items by factor analysis.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2000.07a
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• pp.67-74
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• 2000

• Proceedings of the PSK Conference
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• 2002.04a
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• pp.174.2-175
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• 2002

• Proceedings of the Zoological Society Korea Conference
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• 1997.10b
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• pp.189.1-189
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• 1997

No Abstract, See Full Text

• Journal of Information Display
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• v.4 no.1
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• pp.38-42
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• 2003

CRTs can survive in the long run for TV applications, because of their realistic reproduction of live images. CRT technology development has to be directed towards form factor, but also attention has to be paid to the form design of sets. The CRT is the only technology allowing a doubly curved screen surface.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2003.06a
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• pp.262-267
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• 2003

At process of production according to development of accumulation degree of semi-conductor element, because functional mistake examination time required increases, is becoming big obstacle factor in cost-cutting. Studied pattern generator that generate pattern and address that is bundle enemy to process these controversial point effectively.

• Proceedings of the Korean Nuclear Society Conference
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• 2005.10a
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• pp.594-595
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• 2005

• ALGAE
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• v.17 no.2
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• pp.105-115
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• 2002

Influences of vrious environmental factors on the eutrophication of Nakdong River were analyzed statistically using water samples collected from 1 January, 1999, to 30 September, 2001 at Namji area. The relationships between the concentration of chlorophyll α (eutrophication index) and environmental factors and were analyzed to develop a statistical model which can predict the status of eutrophication. The concentation of chlorophyll α ranged from 66.2 mg · $m^{-3}$ to 70.8 mg · $m^{-3}$ during dry winter season and the average concentration during this study period was 35.5 mg · $m^{-3}$ Namji area of Nakdong River was in the hypereutrohic stage in terms of water quality. Stephanodiscus sp. and Aulacoseria granulata var. angustissima were dominant species during the witnter to spring time and summer to autumn period, respectively. Based on the correlation analysis and the analysis of variance between chlorophyll α concentration and environmental factors, significantly high positive relationships were found in the order of BOD> pH> COD > KMnO₄ consumption > DO > conductivity > alkalinity. In contrast to these factors, significantly negrative relationships were found as in the order of $PO₄^{3-}-P$ >water level>the rate of Namgang-dam discharge > NH₃-N> the rate of Andong-dam discharge> the rate of Hapchoen-dam discharge. Based on the factors analysis of environmental factors on the concentration of chlorophyll α, we obtained five factors as follows. The first factor included water level, pH, turbiditiy, conductivity, alkalinity and the rate of Namgang-dam discharge. The second factor included water temperature DO, NH₄+-N, NO₃- -N. The third factor included KMnO₄ consumption COD and BOD. The fourth factor included the rate of Andong-dam discharge, the rate of Hapcheon-dam discharge, and the rate of Imha-dam discharge. The final factor included T-N T-P and $PO₄^{3-}-P$ > concentration. We derived two statistica models that can predict the occurrence of eutrophication based on the factors by factor analysis, using regression analysis. The first model is the stepwise regression model whose independent variables are the factors produced by factor analysis : chl α (mg · $m^{-3}$ = 42.923+(18.637 factor 3) + (-17.147 factor 1) + (-12.095 factor 5) + (-4.828 factor 4). The second model is the alternative stepwise regression model whose independent variables are the sums of the standardized main component variables:chl α (mg · $m^{-3}$ = 37.295+(7.326 Zfactor 3) + (-2.704 Zfactor 1)+(-2.341 Zfactor 5).