• Journal of Korea Technology Innovation Society
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• v.13 no.3
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• pp.558-586
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• 2010

This paper analyze the economic effect of R&D investment for the IT Green growth initiatives in Korea, relating to Green growth which is main force for activating in order to durable growth currently. The IT green growth initiatives can be grouped by IT manufacture, IT service, and S/W and computer-related services in the R&D investment and to be analyzed by the RAS forecasting methods. The results indicate that the production-inducing effect is about 31,853 billion won for the IT manufacture, and IT service is about 14,360 billion won, and the next is S/W and computer-related service whose effect is about 4,482 billion won. The import, value added, and employment effect of IT manufacture is also bigger than those of any other sectors in IT. This is because R&D investment in case of IT manufacture is more huge than IT service. Besides, employment-inducing effects show that IT manufacture is highest in 16,596 persons; IT service is secondly highest in 9,000 persons and S/W; lastly, computer-related service is much lower than those of any other sector. So we can conjecture that the long-term initiatives of IT green growth implementation lead to increasing size of benefits in the IT sectors.

• Journal of Bio-Environment Control
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• v.31 no.4
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• pp.401-408
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• 2022

As research on a controlled environment system based on crop growth environment sensing for sustainable production of horticultural crops and its industrial use has been important, research on how to properly utilize soil moisture sensors for outdoor cultivation is being actively conducted. This experiment was conducted to suggest the proper method of utilizing the TEROS 12, an FDR (frequency domain reflectometry) sensor, which is frequently used in industry and research fields, for each orchard soil in three regions in Korea. We collected soils from each orchard where fruit trees were grown, investigated the soil characteristics and soil water retention curve, and compared TEROS 12 sensor calibration equations to correlate the sensor output to the corresponding soil volumetric water content through linear and cubic regressions for each soil sample. The estimated value from the calibration equation provided by the manufacturer was also compared. The soil collected from all three orchards showed different soil characteristics and volumetric water content values by each soil water retention level across the soil samples. In addition, the cubic calibration equation for TEROS 12 sensor showed the highest coefficient of determination higher than 0.95, and the lowest RMSE for all soil samples. When estimating volumetric water contents from TEROS 12 sensor output using the calibration equation provided by the manufacturer, their calculated volumetric water contents were lower than the actual volumetric water contents, with the difference up to 0.09-0.17 m³·m^-3 depending on the soil samples, indicating an appropriate calibration for each soil should be preceded before FDR sensor utilization. Also, there was a difference in the range of soil volumetric water content corresponding to the soil water retention levels across the soil samples, suggesting that the soil water retention information should be required to properly interpret the volumetric water content value of the soil. Moreover, soil with a high content of sand had a relatively narrow range of volumetric water contents for irrigation, thus reducing the accuracy of an FDR sensor measurement. In conclusion, analyzing soil water retention characteristics of the target soil and the soil-specific calibration would be necessary to properly quantify the soil water status and determine their adequate irrigation point using an FDR sensor.