• Journal of the Korean Wood Science and Technology
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• v.30 no.1
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• pp.63-71
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• 2002

The bark of P. alba × glandulosa, P. euramericana and P. nigra × maximounczii F₁, several Populus trees, were collected, extracted with acetone-H₂O(7:3, v/v), fractionated with hexane, chloroform and ethylacetate, and freeze dried to give some dark brown powder. Each fraction of the powder was chromatographed on a Sephadex LH-20 column using a series of aqueous methanol and ethanol-hexane mixture as eluents and then identified by thin layer chromatography using TBA and 6% acetic acid as developing solvents. The structures of the isolated compounds were characterized by ¹H, ¹³C and 2D-NMR tools including mass spectrometry. Most of the compounds were flavonoids and salicin derivatives as follows: (+)-catechin, taxifolin, aromadendrin, eriodictyol, naringenin, sakuranetin, sakuranetin-5-O-𝛽-D-glucopyranoside, neosaturanin, salireposide, p-coumaric acid, and aesculin from P. alba × glandulosa, (+)-catechin, salireposide, populoside and salicortin from P. euramericana and (+)-catechin, quercetin, padmatin, salireposide, populoside and salicortin from P. nigra × maximounczii F₁.

• Tunnel and Underground Space
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• v.32 no.6
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• pp.502-517
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• 2022

As the use of TBM increases, research has recently increased to to analyze TBM data with machine learning techniques to predict the exchange cycle of disc cutters, and predict the advance rate of TBM. In this study, a regression prediction of disc cutte wear of slurry shield TBM site was made by combining machine learning based on the machine data and the geotechnical data obtained during the excavation. The data were divided into 7:3 for training and testing the prediction of disc cutter wear, and the hyper-parameters are optimized by cross-validated grid-search over a parameter grid. As a result, gradient boosting based on the ensemble model showed good performance with a determination coefficient of 0.852 and a root-mean-square-error of 3.111 and especially excellent results in fit times along with learning performance. Based on the results, it is judged that the suitability of the prediction model using data including mechanical data and geotechnical information is high. In addition, research is needed to increase the diversity of ground conditions and the amount of disc cutter data.

• Journal of Navigation and Port Research
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• v.46 no.6
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• pp.562-569
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• 2022

The alarm monitoring technology applied to existing operating ships manages data items such as temperature and pressure with AMS (Alarm Monitoring System) and provides an alarm to the crew should these sensing data exceed the normal level range. In addition, the maintenance of existing ships follows the Planned Maintenance System (PMS). whereby the sensing data measured from the equipment is monitored and if it surpasses the set range, maintenance is performed through an alarm, or the corresponding part is replaced in advance after being used for a certain period of time regardless of whether the target device has a malfunction or not. To secure the reliability and operational safety of ship engine operation, it is necessary to enable advanced diagnosis and prediction based on real-time condition monitoring data. To do so, comprehensive measurement of actual ship data, creation of a database, and implementation of a condition diagnosis monitoring system for condition-based predictive maintenance of auxiliary equipment and piping must take place. Furthermore, the system should enable management of auxiliary equipment and piping status information based on a responsive web, and be optimized for screen and resolution so that it can be accessed and used by various mobile devices such as smartphones as well as for viewing on a PC on board. This update cost is low, and the management method is easy. In this paper, we propose CBM (Condition Based Management) technology, for autonomous ships. This core technology is used to identify abnormal phenomena through state diagnosis and monitoring of pumps and purifiers among ship auxiliary equipment, and seawater and steam pipes among pipes. It is intended to provide performance diagnosis and failure prediction of ship auxiliary equipment and piping for convergence analysis, and to support preventive maintenance decision-making.

• Ecology and Resilient Infrastructure
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• v.9 no.4
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• pp.282-289
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• 2022

Analyzing the impact of climate change on the Korean Peninsula on the forest ecosystem is important for the management of subtropical forest bioresources. In this study, we collected location data and bioclimatic variables of the warm-temperate woody plant species, Myrica rubra and Cyzygium buxifolium, and applied the MaxEnt model based on the collected data to estimate the potential distribution area. Precipitation and temperature seasonality in the warmest quarter were the main environmental factors that determined the distribution of M. rubra, and the main environmental factors for S. buxifolium were precipitation in the warmest quarter and precipitation in the wettest quarter. The results of the MaxEnt model by administrative district, the M. rubra showed an area increase rate of 4.6 - 17.7% in the SSP2-4.5 climate change scenario and 13.8 - 30.5% in the SSP5-8.5 climate change scenario. S. buxifolium showed area increase rates of 4.8 - 32.2% in the SSP2-4.5 climate change scenario and 12.9 - 48.6% in the SSP5-8.5 climate change scenario. This study is meaningful in establishing a database and identifying future potential distribution areas of warm and subtropical plants by applying climate change scenarios.

• Journal of Practical Agriculture & Fisheries Research
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• v.24 no.4
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• pp.30-34
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• 2022

This study was carried out to analyze the effect of changes in the light environment caused by the daylight disturbance on the productivity and quality of the standard cut flower rose cultivar 'Monet'. It was artificially shaded to obstruct the sunlight and the productivity and growing characteristics of roses according to the time of daylight disturbance were investigated. The number of cut flowers per unit area (3.3m²) of the cut flower rose 'Monet' was 40 stems in the control, while in the 4-hour, 8-hour, and 12-hour treatments, it was 32, 29, and 25, respectively. As the daylight disturbance time was increased, the number of cut flowers showed a tendency to decrease. In the case of cut flower characteristics related to the quality of cut roses, all characteristics such as flower width, flower height, petal length, and petal width, decreased by 10 to 20% in the 12-hour treatment compared to the control. In addition, growth characteristics such as peduncle length, peduncle thickness, and cut flower height, which determine the marketability of cut roses, also tended to decrease as the daylight disturbance time increased. On the other hand, the number of days to flowering increased by 14.0% from 24.3 to 27.7. The overall growth characteristics were contracted and flowering was delayed as the time of daylight disturbance increased. In the results of this study, as the daylight disturbance time increased, flower size, cut flower length, and fresh weight was decreased. This is due to the decrease in the total photosynthetic amount as the daily average photosynthetic photon flux density (PPFD) was decreased, resulting in a decrease in the quality of roses. It is judged that it is because they do not receive enough carbohydrates necessary for growth and development.

• Journal of Food Hygiene and Safety
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• v.37 no.3
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• pp.173-180
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• 2022

There are a number of methods to evaluate the quality of squid. However, when purchasing the fish, consumers and retails rely only on the sensory test and flavor in the field. Therefore, this study was aimed to prove relationship between scientific indicator and sensory test. Total viable cell count (TVC), viable cell count of Pseudomonas spp., pH and volatile basic nitrogen (VBN) were selected as scientific indicators and mesured during the storage of squid at different temperature. The squid was storaged at 3 different temperature (5℃, 15℃, 20℃). Off flavor determination time was measured by R-index, and kinetic modeling was conducted. Activation energies of off-flavor determination time, TVC, Pseudomonas spp, VBN, and pH were 51.210 kJ/mol, 42.88 kJ/mol, 50.283 kJ/mol, 72.594 kJ/mol and 41.99 kJ/mol respectively. Activation energy of off-flavor determination time was approximated to viable cell count of Pseudomonas spp., TVC, pH and VBN as an order. Especially, viable cell count of Pseudomonas spp. had best match of the activation energy. Therefore, it was judged that indicator of off-flavor determine time was viable cell count of Pseudomonas spp..

• The Journal of the Korea Contents Association
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• v.22 no.2
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• pp.695-709
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• 2022

This study examined the mothers' stress level as it related to meal preparation and a change in food consumption during the Covid-19 pandemic. I asked mothers about the difficulties related to meal preparation, changes in food consumption, and their interest in food and health information using in-depth research methods. As a result, food delivery and online food consumption have markedly expanded as eating out has decreased. Mothers tried to serve fresh food at home because they perceived delivery food as unhealthy. They stick to it more vigorously with their younger children. As the result of analysis on determinants of food consumption, their interest in organic food is higher when mothers' ages are younger with higher income. However, mothers with a low level of education tend to be uninterested in it. Therefore, the ages of the children and mothers, household income, and education levels all had an effect on food consumption behaviors.

• Journal of Korea Water Resources Association
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• v.55 no.9
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• pp.657-668
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• 2022

With the occurrence of localized heavy rain while river flow has increased, both flow and rainfall cause riverside flood damages. As the degree of damage varies according to the level of social and economic impact, it is required to secure sufficient forecast lead time for flood response in areas with high population and asset density. In this study, the author established a flood risk matrix using ensemble rainfall runoff modeling and evaluated its applicability in order to increase the damage reduction effect by securing the time required for flood response. The flood risk matrix constructs the flood damage impact level (X-axis) using flood damage data and predicts the likelihood of flood occurrence (Y-axis) according to the result of ensemble rainfall runoff modeling using LENS rainfall data and as well as probabilistic forecasting. Therefore, the author introduced a method for determining the impact level of flood damage using historical flood damage data and quantitative flood damage assessment methods. It was compared with the existing flood warning data and the damage situation at the flood warning points in the Taehwa River Basin and the Hyeongsan River Basin in the Nakdong River Region. As a result, the analysis showed that it was possible to predict the time and degree of flood risk from up to three days in advance. Hence, it will be helpful for damage reduction activities by securing the lead time for flood response.

• The Journal of Engineering Geology
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• v.32 no.4
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• pp.685-696
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• 2022

Although the use of pottery-making soils has a long history, its use in the pottery industry requires that physical and geotechnical properties of the materials be established to define the suitability for various purposes. The main purpose of this study is to identify the different types of clays and mineral composition and to perform the geotechnical evaluation of the clays for making pottery products. Soils investigated in this study include raw materials used for making Baekja (white porcelains), Chungja (celadons), Buncheong, Sancheong, and Johyung. Pottery-making soils are manufactured by using different types of soils and sold by individual ceramic clay company. This study includes physical tests of soil and chemical analysis of major elements using XRF and XRD instrumentation. Grain size distributions, mineralogical composition, and a range of plasticities of soils for making different types of potteries are presented. Correlations between specific type of pottery clays and geotechnical and mineralogical characteristics are determined by comparing the test results. Since quantitative research using laboratory tests for pottery-making soils are rarely performed in Korea, further research should be done in the future to improve the Korean pottery industry.

• Informatization Policy
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• v.29 no.3
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• pp.82-104
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• 2022

One of the interesting social phenomena in short-form video platforms is the hashtag challenge wherein ordinary users are encouraged to create by imitating short viral videos on a particular theme. Despite the increasing popularity of hashtag challenges, theoretical discussion on related user behavior is still very insufficient. In this study, we attempted to examine the impact of micro-influencers in order to understand users' willingness to participate in hashtag challenges. For this purpose, the para-social interaction theory and imitation behavior literature were adopted as key theoretical basis. In an empirical investigation using 243 survey data from TikTok users, our study found that a user's illusion of intimacy with a micro-influencer (i.e., para-social interaction) had significant positive impact on the intention to participate in a hashtag challenge. This study also showed that the degree of para-social interaction in a short-form video platform was determined by both media content-related factors and media character-related factors (i.e., content attractiveness, physical attractiveness, and attitude homophily). Our work in this study provided significant theoretical and practical implications on how to leverage micro-influencers for the success of hashtag challenges in a short-form video platform.