• Journal of Korea Multimedia Society
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• v.13 no.12
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• pp.1832-1842
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• 2010

This paper introduces a new automatic processing system: "Contents Factory" for the mass production of contents. Through the contents factory, we provide an authoring environment to improve the usability and the efficiency in producing contents. The contents factory integrates recycling techniques for contents resources, contents development engines, authoring tools, and interfaces into a total processing system. Since it is multi-platform based including mobile devices as well as PCs, one can easily produce complete PC and mobile contents from raw resources. We produced an example, "Sejong square" via the contents factory in order to demonstrate its effectiveness and usability.

• Proceedings of the Korea Contents Association Conference
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• 2014.06a
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• pp.3-4
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• 2014

• Korean Journal of Soil Science and Fertilizer
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• v.45 no.6
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• pp.920-924
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• 2012

This study was performed to estimate total contents of arsenic (As) by stepwise multiple-regression analysis using chemical properties and extractable contents of metal in paddy soil adjacent to abandoned mines. The soil was collected from paddies near abandoned mines. Soil pH, electrical conductively (EC), organic mater (OM), available phosphorus ($P_2O_5$), and exchangeable cations (Ca, K, Mg, Na) were measured. Total contents of As and extractable contents of metals were analyzed by ICP-OES. From stepwise analysis, it was showed that the contents of extractable As, available phosphorus, extractable Cu, exchangeable K, exchangeable Na, and organic mater significantly influenced the total contents of As in soil (p<0.001). The multiple linear regression models have been established as Log (Total-As) = 0.741 + 0.716 Log (extractable-As) - 0.734 Log (avail-$P_2O_5$) + 0.334 Log (extractable-Cu) + 0.186 Log (exchangeable-K) - 0.593 Log (exchangeable-Na) + 0.558 Log (OM). The estimated value in total contents of As was significantly correlated with the measured value in soil ($R^2$=0.84196, p<0.0001). This predictive model for estimating total As contents in paddy soil will be properly applied to the numerous datasets which were surveyed with extractable heavy metal contents based on Soil Environmental Conservation Act before 2010.

• Proceedings of the Korea Contents Association Conference
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• 2014.06a
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• pp.113-114
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• 2014

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.104.6-104
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• 2002

$\textbullet$ Contents 1 Introduction $\textbullet$ Contents 2 300mm OHT System $\textbullet$ Contents 3 function of OHT System $\textbullet$ Contents 4 Control Method $\textbullet$ Contents 5 Conclusion

• Korean Journal of Soil Science and Fertilizer
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• v.44 no.6
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• pp.1080-1084
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• 2011

Predictive model for estimating total contents of cadmium (Cd) and lead (Pb) was developed by stepwise multiple-regression analysis using chemical properties and extractable contents of metal in paddy soil adjacent to abandoned mines in 2009 and 2010. Soil properties, e.g. pH, electrical conductivity (EC), organic matter (OM), available phosphorus ($P_2O_5$), and exchangeable cations (i.e. Ca, Na, K, Mg) were measured. Total contents of Cd and Pb as well as extractable contents of metals were analyzed by ICP-OES. Results showed that the total and extractable contents were estimated to be 3.55 and $0.27mg\;kg^{-1}$ in Cd and 83.38 and $24.32mg\;kg^{-1}$ in Pb on the average. From stepwise analysis, it was found that the contents of extractable Cd, Zn, Cu, as well as exchangeable Na were significantly influenced on estimation of the total contents of Cd in soil. Moreover, it also showed that the contents of extractable Pb, Zn, and Cu significantly affected estimation of the total contents of Pb in soil. More significant relationship between estimated and measured value in total contents of Pb was observed than those of Cd ($R^2$=0.87, p<0.0001). This demonstrates that extractable contents of metal are influenced more on estimation of total contents of Cd and Pb in soil than soil properties.

• Proceedings of the Korea Contents Association Conference
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• 2014.11a
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• pp.151-152
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• 2014

• Proceedings of the Korea Contents Association Conference
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• 2014.06a
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• pp.49-50
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• 2014

• Journal of Korea Multimedia Society
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• v.18 no.12
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• pp.1586-1593
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• 2015

Calligraphy contents(shortly called, CalliContents) depict the feature of communication media with artistic sentences or drawings before being processed into digital contents to become printed advertisement, visual design and entertainment products. As a fast growing business model, they can be applied to every single scope of all fields these days and each application case presented excellent effects to grab consumers' attention immediately. In this paper, we designed and produced an emotional bi-directional recommendation DIY calligraphy contents platform to consume created cultural contents and boost personalized contents industry that meets consumer's needs through both wired and wireless-based software with convergence of artistic and emotional calligraphy contents and ICT. For this works, we established for DIY calligraphy consumers a foundation of a virtuous circle of the CalliContents where various CalliContents are provided in on and offline environment and a third party target is opened at the CalliContents platform

• The Korean Journal of Food And Nutrition
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• v.29 no.6
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• pp.1015-1022
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• 2016

The purpose of this study was to investigate ash and mineral contents of agricultural products that are widely and specifically grown in Korea, including 23 fruits, 11 cereals and specialty crops, and 11 leaves and vegetables. Pre-treatment of mineral was performed by microwave method. Mineral contents were analyzed by Inductively Coupled Plasma-Optical Emission Spectrometer (ICP-OES) and Inductively Coupled Plasma Spectrophotometry Mass (ICP-MS). Ash contents ranged from 0.20 to 0.69 g/100 g in fruits, 1.62 to 3.80 g/100 g in cereals, and 0.28 to 2.93 g/100 g in leaves and vegetables. Among the 45 samples, the highest contents of ash were found in quinoa (average 3.80 g/100 g), the highest contents of calcium (Ca) were found in Hansan ramie leaves (average 894.79 mg/100 g), the highest contents of phosphorus (P) were found in yellow amaranth(average 661.88 mg/100 g), the highest contents of potassium (K) were found in quinoa (average 1,455.38 mg/100 g), the highest contents of magnesium (Mg) were found in red amaranth (average 434.02 mg/100 g), the highest contents of molybdenum (Mo) were found in moringa (average $482.50{\mu}g/100g$), and the highest contents of selenium (Se) were found in apple mango(average $23.67{\mu}g/100g$).