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경계조건에 따른 남한지역에서의 기온 및 강수의 일변동에 대한 RegCM4의 모의수준
서명석(Myoung-Seok Suh),오석근(Seok-Geun Oh),김태준(Tae-Jun Kim) 건국대학교 기후연구소 2018 기후연구 Vol.13 No.1
This study investigates the simulation skills of RegCM4 for Diurnal Variations (DV) of temperature and precipitation over South Korea according to the Lateral Boundary Conditions (LBCs) using two sets of 30-yr (1981-2010) integration with two LBCs (RG4_HG2: HadGEM2-AO and RG4_EH6: EHCAM6). In general, RegCM4 successfully reproduces the DV of temperature irrespective of LBCs and seasons. The DV of temperature is well captured in the coastal region compared to that over inland area irrespective of LBCs and season although the magnitude of DV is underestimated. However, it fails to simulate the early morning peak of precipitation irrespective of LBCs, in particular, for summer and autumn although it captures the late afternoon peak over the inland region. And the impacts of LBCs on the simulation skills of RegCM4 for the DV of precipitation are more prominent during summer than other seasons. As a result, the simulation skill of RG4_HG2 for the DV of temperature is better than RG4_EH6, but the simulation skill for the DV of precipitation is opposite. In general, the impacts of LBCs on the simulation skills for the DV of temperature and precipitation of RegCM4 are different according to the season, time and geographic location.
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권오영(Oyoung Kwon),박형석(Hyung Suk Park),오석근(Seok Geun Oh),홍대희(Daehie Hong) Korean Society for Precision Engineering 2019 한국정밀공학회지 Vol.36 No.12
This paper describes a control system for the servo prep column of High-Performance Liquid Chromatography (HPLC) based on fuzzy inference control. The key technology in pharmaceutical and biotechnology industries is refining performance and efforts to reduce costs by purifying target compounds with high purity at high yield while maintaining target compounds, is the major focus of new product development. Among the many refinement techniques, the most popular chromatographic methods require a column that can charge the resin with excellent performance and reproducibility. However, the present HPLC prep column has a hydraulic for control moving stopper and compressed chemical compound. It always causes irregular performances of the column. This paper presents automation control with a servo motor that prevents slurry issues and improves efficiency of the prep column reproducibility and provides easy automation. As an automation method, cortex-m4 as an embedded processor and operating system with LabVIEW, are used to control the HPLC system. To generate the heuristic data for the fuzzy inference control, experiments are conducted to identify correlation between data such as pressure sensor and motor speed. The result will improve performance of the servo prep column of HPLC for automation control based on fuzzy inference control.
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