• Journal of the Korean Society for Precision Engineering
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• v.34 no.1
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• pp.23-27
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• 2017

This paper aims to develop a prediction model for the product quality of a casting process. Prediction of the product quality utilizes an artificial neural network (ANN) in order to renovate the manufacturing technology of the root industry. Various aspects of the research on the prediction algorithm for the casting process using an ANN have been investigated. First, the key process parameters have been selected by means of a statistics analysis of the process data. Then, the optimal number of the layers and neurons in the ANN structure is established. Next, feed-forward back propagation and the Levenberg-Marquardt algorithm are selected to be used for training. Simulation of the predicted product quality shows that the prediction is accurate. Finally, the proposed method shows that use of the ANN can be an effective tool for predicting the results of the casting process.

• Korean Journal of Hazardous Materials
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• v.6 no.2
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• pp.47-54
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• 2018

Mixed acid is very reactive and highly corrosive. it has been causing many accidents in a electronic industry, a steel industry, and a chemical industry. Therefore, it is required that the high safety level for the acid storage facilities. In this study, we investigated the accident causes for resent leak accidents with Root Cause Analysis (RCA). The root causes analysed by RCA were categorized as nine divisions by the their characteristics. Furthermore, each nine divisions causes was applied to the PDCA model which are using at OHSAS 18001. It is suggested that the nine division with the root causes can be the essential items for the development of the safety management manual. It is helpful to the safety improvement of the acid storage facility.

• Korean Journal of Agricultural Science
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• v.47 no.2
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• pp.305-313
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• 2020

Root hair development has the potential to increase crop yields and at the same time to decrease fertilizer use, which will be required in the next 30 years to meet the demand for crop-derived commodities in a world with decreasing available natural resources. Root hair defective six (RHD6) encoding a basic helix-loop-helix transcription factor, is associated with root hair differentiation, and its roles are root hair initiation and elongation. Grass plants, rice and Brachypodium have been used as model plants to study the gene function of the root hair defective six like (RSL) subfamily which is orthologous to AtRHD6. The RSL subfamily has an identical gene function with AtRHD6 which is involved with root hair differentiation as well. Plants with longer root hairs within a species should have an improved Pi uptake efficiency; therefore, we would expect that a plant with a high Pi uptake could contribute to increasing the plant yield. We achieved increased root hair length by manipulating the RSL subfamily genes. It is expected that in these transgenic plants, the long root hairs would be sufficient to improve the Pi uptake and hence improve biomass and yield component (tiller, spikelet number, and spikelet weight) of the plant. Here, we demonstrate that Brachypodium transgenic plants overexpressing the BdRSL subfamily genes have an improved biomass and grain yield. The result of this study could be applied to important crop plants like rice.

• Journal of Applied Biological Chemistry
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• v.60 no.2
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• pp.119-124
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• 2017

The extracted phenolic compounds from Pinus densiflora root were examined biological activities for beauty food. The tyrosinase inhibitory activity which was related to skin-whitening was observed. The tyrosinase inhibitory activity was confirmed to be 92% in ethanol extract at $50{\mu}g/mL$ phenolic. The elastase and collagenase inhibitory activity as anti-wrinkle effect were showed 61 and 78% in ethanol extract at $200{\mu}g/mL$ phenolic, respectively. Astringent effect of ethanol extract was showed to be 82% at $50{\mu}g/mL$ phenolic. Hyaluronidase inhibitory activity of ethanol extract as anti-inflammation effect was confirmed to be 94% of inhibition at $200{\mu}g/mL$ phenolic. These results demonstrated that isolated phenolic compounds from P. densiflora root could be expected to use as a functional cosmetic materials.

• Journal of Welding and Joining
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• v.29 no.6
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• pp.77-81
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• 2011

In most industry, manual GTAW welding is preferred for formation of stable back bead in root weld of butt joint. However, manual GTAW welding has low productivity as compared with GMAW, also it has unstable bead quality which depend on skilled workers. So it is necessary to develop process of root pass welding by using automation GMAW that have stable back bead formation and high productivity. In this paper, the design of U-groove with 3mm root face was applied to extend the tolerance of misalignment in condition of standard root gap 1.5mm. Consequently, for the formation of stable back bead in root pass of butt welding, in case of the narrow root gap(0.5mm) the large arc force was applied by increasing the current and voltage. In case of the large root gap(2.5mm), the small arc force was applied by decreasing the current and voltage. Considering the various root gap, the required deposited metal was controlled by welding speed only.

• Journal of the Korean Institute of Gas
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• v.11 no.2 s.35
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• pp.60-64
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• 2007

Chemical Process industry in Korea has over 30 year's of history and is likely to face potential incidents. The traditional risk analysis and control system in Chemical Process industry focuses on mechanical defects, overlooking the human performance control. Although development of automation technology and controlling technology was necessary, human decision factor is essential to preventing accidents in the Chemical Process. Almost all serious accidents take place when inappropriate humanperformance and mechanical defects of safety equipments simultaneously occurs. The AHRA(Advanced Human Reliability Analyzer) software has been developed to collect failure data and analyze human error probability (Reliability) in Chemical Process Industry in Korea. This paper describes the HRA analysis result of PIF(Performance Influencing Factor) evaluation, HEP(Human Error Probability) and root cause of accidents by applying a Chemical Process Industry related accident data. This analysis result should present a scheme that, by controlling human error factor other than putting safety management funds into the machinery in plants, can reduce cost and maximize the safety in Chemical Process Industry.

• Journal of Plant Biotechnology
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• v.45 no.2
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• pp.140-145
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• 2018

Inducing genetic and morphological variation through conventional method is very difficult. Therefore, mutation induction through in vitro technology brings numerous advantages over the conventional breeding. Thus, the individual shoots (1 ~ 2 cm) were irradiated with gamma rays (10 ~ 70 Gy). The result revealed that the explants treated with higher doses (40, 50, 60, and 70 Gy) showed deleterious effects of ionizing radiation. The highest survival rate among ${\gamma}$ treated explants recorded was 71% in 10 Gy treatments while the lowest survivality was 15% in 70 Gy. Lethal dose 50% ($LD_{50}$) dose was found to be 33 Gy. In the in vitro condition, rooting reponse showed that increase in gamma irradiation dose resulted in the inhibition of root growth. Meanwhile, non-treated explants had the best rooting ability with the maximum number of root per explant (20) within a short period of time (6 days), with the highest root length of (15.1 cm). The longer period in rooting (12 days) and lowest number of root per explant (8) with shortest root length (10.1 cm) were recorded at 30 Gy treatment. The highest shoot length (13.6 cm) was observed at control treatment and the shortest shoot length (10.4 cm) was observed at 30 Gy. In the nursery, lowest leaf number (5) was observed at 30 Gy compared with other treatments. The highest chlorophyll content (49.8) was recorded at 10 Gy treated seedling. Irradiated explants with 10 Gy found to be superior over the control treatment and had positive effects in main growth parameters such as chlorophyll content.

• International Area Studies Review
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• v.14 no.3
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• pp.363-387
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• 2010

This papers studies the causalities and effects on the relationship between inbound tourism(TOU) and the production amount of service industry in China, using the unit root test, the Granger causality test, the cointegration test, and VECM. we take their natural logarithm and define them as TOU and SGDP: these represent the distributed variable based the lagged values of the number of international tourists by continent and real production amount in service industry of China, respectively. The results of empirical study of this papers are as follows: Firstly, in the unit root test, we found that each time series was unstable one that has unit root. This result made me use 1st differenced data for this empirical study. Secondly, in the Granger casuality test, the study results show that there is unilateral casuality relation between DLSGDP-$DLTOU_i$ except DLSGDP-DLTOUL model for the same time, while no casuality relation between DLTOU-DLSGDP for all models of China. Thirdly, there is cointegration relation between all models for the period of 1980-2008.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2018.05a
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• pp.253-254
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• 2018

In the construction industry, a variety of Root-Resistance Waterproofing Sheets ar being developed and studied. However, defects still occur in the sheet. In this study, the performance of the navigation is studied by Root-Resistance. As a result of the test, no piercing or penetration marks were found by root in all the specimens.

• Journal of Korean Medicine for Obesity Research
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• v.23 no.2
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• pp.51-59
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• 2023

Objectives: Despite the pharmacological potential of the roots and stems of hemp based on literatures, active research has not been conducted for a long time. Comparative experiments were conducted on antioxidant and anti-inflammatory effects and improvement of glucose uptake using Cannabis root and stem extracts. Methods: Antioxidant contents in Cannabis root and stem extracts were examined with total phenolic, tannin, flavonoid assay. Anti-inflammatory properties were tested in lipopolysaccharides-treated RAW264.7 cells. Efficacy of Cannabis root and stem extracts on glucose uptake was investigated using fluorescent glucose analog (2-NBDG) in palmitate-treated HepG2 cells. The mechanism of action on metabolism was examined by western blot. Results: Antioxidant and anti-inflammatory efficacy were greater in stem extracts, but improvements in glucose uptake performed under various conditions were found to be greater in root extracts. It is assumed that Cannabis root extracts exhibited an improvement in glucose uptake through mechanisms such as AMP-activated protein kinase activation, not depending on general antioxidant and anti-inflammatory effects. Conclusions: Further research is needed on the mechanisms and substances that exhibit the anti-diabetic effects of Cannabis roots and stems.