This study presents projections of future extreme climate over the Korean Peninsula (KP), using bias-corrected data from multiple regional climate model (RCM) simulations in CORDEX-EA Phase 2 project. In order to confirm difference according to degree of greenhouse gas (GHG) emission, high GHG path of SSP5-8.5 and low GHG path of SSP1-2.6 scenario are used. Under SSP5-8.5 scenario, mean temperature and precipitation over KP are projected to increase by 6.38℃ and 20.56%, respectively, in 2081~2100 years compared to 1995~2014 years. Projected changes in extreme climate suggest that intensity indices of extreme temperatures would increase by 6.41℃ to 8.18℃ and precipitation by 24.75% to 33.74%, being bigger increase than their mean values. Both of frequency indices of the extreme climate and consecutive indices of extreme precipitation are also projected to increase. But the projected changes in extreme indices vary regionally. Under SSP1-2.6 scenario, the extreme climate indices would increase less than SSP5-8.5 scenario. In other words, temperature (precipitation) intensity indices would increase 2.63℃ to 3.12℃ (14.09% to 16.07%). And there is expected to be relationship between mean precipitation and warming, which mean precipitation would increase as warming with bigger relationship in northern KP (4.08% ℃-1) than southern KP (3.53% ℃-1) under SSP5-8.5 scenario. The projected relationship, however, is not significant for extreme precipitation. It seems because of complex characteristics of extreme precipitation from summer monsoon and typhoon over KP.
The Journal of the Convergence on Culture Technology
/
v.7
no.4
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pp.565-575
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2021
This study was attempted to establish a model to investigate the relationship between career decision self-efficacy, department satisfaction, and job preparing stress of college students and to investigate the relationship between these factors. The subjects of this study were 355 college students aged 18 years or older in G-do, and the collected data were analyzed using the SPSS/WIN 24.0/AMOS 24.0 program. The fit index of the structural regression model met the acceptance criteria (χ2/df=2.89, SRMR=.04, RMSEA=.07, CFI=.96, TLI=.95). As a result of the study, first, it was found that career decision self-efficacy and department satisfaction directly affect job stress. Second, career decision self-efficacy was found to directly affect department satisfaction. Third, career decision self-efficacy was found to have an indirect effect on job stress through department satisfaction. Of the two variables influencing job stress, department satisfaction was found to have a greater relative influence on job preparing stress. Based on these research results, it is necessary to develop a strategy to increase career decision self-efficacy and department satisfaction, which has been found to affect job stress in order to reduce job preparing stress of college students.
The surface image velocimetry was developed to measure river flow velocity safely and effectively in flood season. There are a couple of methods in the surface image velocimetry. Among them the spatio-temporal image velocimetry is in the spotlight, since it can estimate mean velocity for a period of time. For the spatio-temporal image velocimetry analyzes a series of images all at once, it can reduce analyzing time so much. It, however, has a little drawback to find out the main flow direction. If the direction of spatio-temporal image does not coincide to the main flow direction, it may cause singnificant error in velocity. The present study aims to propose a new method to find out the main flow direction by using a fast Fourier transform(FFT) to a spatio-temporal (image) volume, which were constructed by accumulating the river surface images along the time direction. The method consists of two steps; the first step for finding main flow direction in space image and the second step for calculating the velocity magnitude in main flow direction in spatio-temporal image. In the first step a time-accumulated image was made from the spatio-temporal volume along the time direction. We analyzed this time-accumulated image by using FFT and figured out the main flow direction from the transformed image. Then a spatio-temporal image in main flow direction was extracted from the spatio-temporal volume. Once again, the spatio-temporal image was analyzed by FFT and velocity magnitudes were calculated from the transformed image. The proposed method was applied to a series of artificial images for error analysis. It was shown that the proposed method could analyze two-dimensional flow field with fairly good accuracy.
Journal of Korean Home Economics Education Association
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v.34
no.2
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pp.77-93
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2022
The purpose of this study was to identify the latent profiles according to the core competencies of middle school students and to examine whether the parent-child relationship predicts the latent profiles based on the core competencies for students defined by the Korean Ministry of Education. To achieve the purpose of the study, a total of 6,065 second-year middle school students were analyzed from the fourth year of the Korean Educational Longitudinal Study (KELS 2013), which was conducted by the Korean Educational Development Institute in 2016. The results of latent profile analysis and multinomial logistic regression are as follows. First, three latent profiles (higher competency group (19.54%), middle competency group (49.03%), and lower competency group (31.43%)) were derived according to the core competencies. For all groups, the highest competency was communication ability, and the lowest was creative ability. Second, the variables of the parent-child relationship (i.e., parental academic support, emotional support, and attachment level) were significant in predicting differences among the core competency latent profiles. In particular, the emotional support of parents was found to have the greatest influence on the core competencies of middle school students. This study identified the influence of the parent-child relationship on the development of core competencies. Further, it showed that a good family relationship is important for the holistic development of adolescents.
The Journal of the Institute of Internet, Broadcasting and Communication
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v.22
no.3
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pp.193-200
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2022
In this study, the finite-failure NHPP software reliability model was applied to the software development model based on the Weibull lifetime distribution (Goel-Okumoto, Rayleigh, Type-2 Gumbe), which is widely used in the software reliability field, and then the cost attributes were compared and evaluated. For this study, failure time data detected during normal operation of the software system were collected and used, the most-likelihood estimation (MLE) method was applied to the parameter estimation of the proposed model, and the calculation of the nonlinear equation was solved using the binary method. As a result, first, in the software development model, when the cost of testing per unit time and the cost of removing a single defect increased, the cost increased but the release time did not change, and when the cost of repairing failures detected during normal system operation increased, the cost increased and the release time was also delayed. Second, as a result of comprehensive comparative analysis of the proposed models, it was found that the Type-2 Gumble model was the most efficient model because the development cost was lower and the release time point was relatively faster than the Rayleigh model and the Goel-Okumoto basic model. Third, through this study, the development cost properties of the Weibull distribution model were newly evaluated, and the analyzed data is expected to be utilized as design data that enables software developers to explore the attributes of development cost and release time.
Journal of the Korean Society of Environmental Restoration Technology
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v.25
no.4
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pp.15-31
/
2022
The Green Purification Unit System (GPUS) is a green infrastructure facility applicable to the roadside to reduce particulate matter from road traffic. This study introduces two types of GPUS (type1 and type2) and assesses the performance and maintenance costs of each of them. The GPUS's performance analysis used the data collected in November 2021 after the installation of the GPUS type1 and type2 at the study site in Suwon. The changes in the particulate matter concentration near the GPUS were measured. The maintenance cost of GPUS type1 and type2 was assessed by calculating the initial installation cost and the management and repair cost after installation. The results of the performance analysis showed that the GPUS type1, which was manufactured by combining plants and electric dust collectors, had a superior particulate matter reduction performance. In particular, type1 produced a greater effect of particulate matter reduction in the time with a high concentration (50㎍/m3 or higher) of particulate matter due to the operation of electric dust collectors. GPUS type2, which was designed in the form of a plant wall without applying an electric dust collector, showed lower reduction performance than type1 but showed sufficiently improved performance compared to the existing band green area. Meanwhile, the GPUS type1 had three times higher costs for the initial installation than GPUS type2. In terms of costs for managing and repairing, it was evaluated that type1 would be slightly more costly than type2. Finally, this study discussed the applicability of two types of GPUS based on the result of the analysis of their particulate matter performance and maintenance cost at the same time. Since GPUS type2 has a cheaper cost than type1, it could be more economical. However, in the area suffering a high concentration of particulate matter, GPUS type1 would be more effective than type2. Therefore, the choice of GPUS types should rely on the status of particulate matter concentration in the area where GPUS is being installed.
The Journal of the Convergence on Culture Technology
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v.8
no.6
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pp.943-951
/
2022
In this study, 8 kinds of fruits and vegetables such as apples, pears and radishes were cut and hot water extracts and Steamed hot water extract from fruits and vegetables were prepared and used as experimental substrates. As a result of fermenting with 1% (W/V) red ginseng extract (W/V) and 8 types of lactic acid bacteria mixed starter added to the lactic acid bacteria fermented extract, the pattern and content of ginsenosides were almost unchanged in the fruit and vegetable extract group and the steam treatment group. However, in the lactic acid bacteria fermented group, the TLC pattern was changed according to the fermentation process and treatment, and the content of ginsenosides converted into Rg3(S) and Rg5 increased. No change in the number of lactic acid bacteria (cfu) was observed in all four types of fruit and vegetable extracts. The number of lactic acid bacteria CFU was slightly decreased in the four fermented groups of fruit and vegetable extracts, but the growth inhibitory effect of beneficial bacteria was not significant. The growth inhibitory effect of the three harmful bacteria was not affected by the growth of E. coli and Pseudomonas in the four fruit and vegetable extracts. However, the proliferation of Salmonella was inhibited, which was confirmed as the growth inhibitory effect of the fruit and vegetable extract regardless of whether the steamed hot water extract or red ginseng extract was added.
As the wind blades become larger, they tend to be made by mixing glass fiber and carbon fiber, and it is important to increase the properties of the adhesive which adheres the two materials. The physical properties of the adhesive vary depending on the content of the additive and curing conditions. In this study, the change in adhesion strength with the difference between the CNT (Carbon Nanotube) content of the epoxy adhesive and the humidity during curing was evaluated. GFRP and CFRP specimens were prepared and adhered using an epoxy adhesive, and to examine changes in characteristics with carbon nanotube contents and with the humidity during curing of the epoxy adhesive, adhesion strength was evaluated by dividing the difference between carbon nanotube content and humidity. To find out the change with the CNT contents, the intelaminar shear strength (ILSS) test was performed by dividing the contents of the CNT into 0, 0.1, 0.3, 0.5, and 1 wt%, and to confirm the change with the humidity conditions, the adhesive was cured by dividing the humidity by 20, 50, and 80%. From the result of the experiment, the adhesive force decreased when the content was excessively large, although the adhesive property was enhanced by adding CNT to the epoxy adhesive. In addition, it was confirmed that the adhesion characteristics were not changed as the humidity increased.
Park, Hyun suk;Cho, Yong sung;Kim, Young Nam;Kim, Jin pyung
The Journal of The Korea Institute of Intelligent Transport Systems
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v.21
no.5
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pp.57-66
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2022
The Road Management Administration is cracking down on overloaded vehicles by installing low-speed or high-speed WIMs at toll gates and main lines on expressways. However, in recent years, the act of intelligently evading the overloaded-vehicle control system of the Road Management Administration by illegally manipulating the variable axle of an overloaded truck is increasing. In this manipulation, when entering the overloaded-vehicle checkpoint, all axles of the vehicle are lowered to pass normally, and when driving on the main road, the variable axle of the vehicle is illegally lifted with the axle load exceeding 10 tons alarmingly. Therefore, this study developed a technology to detect the state of the variable axle of a truck driving on the road using roadside camera images. In particular, this technology formed the basis for cracking down on overloaded vehicles by lifting the variable axle after entering the checkpoint and linking the vehicle with the account information of the checkpoint. Fundamentally, in this study, the tires of the vehicle were recognized using the Mask RCNN algorithm, the recognized tires were virtually arranged before and after the checkpoint, and the height difference of the vehicle was measured from the arrangement to determine whether the variable axle was lifted after the vehicle left the checkpoint.
Vitamin C is an important physiological antioxidant which neutralizes reactive oxygen species (ROS) and reduces the oxidative stress in the body. Although it has been associated with various diseases, few studies have reported the dose-response relationship between vitamin C intake, storage and functions in the body, including its antioxidant function. The criteria to establish the Dietary Reference Intakes for Koreans (KDRIs) for vitamin C were based on the changes in plasma concentrations and saturation of leukocytes according to intake levels and the effects on antioxidant capacity and risk of metabolic diseases. When establishing the 2020 vitamin C KDRI, while there was no change in the criteria from those of 2015, the reference values were recalculated and revised to reflect changes such as the new standard weight by age. As the number of people consuming dietary supplements has increased over the last decade, only about 10% of adults consume less than the average total vitamin C, but the proportion of adolescents and elderly who consume less than the average is high. On the other hand, as the intake of vitamin C supplements increases, the proportion of people consuming excessive vitamin C is also increasing. There is a body of opinion that it is necessary to establish a vitamin C KDRI for smokers or people with chronic diseases such as the metabolic syndrome, but these standards have not been established due to the lack of supporting scientific evidence. As a result, studies to establish vitamin C KDRI for Korean smokers and patients with the metabolic syndrome, as well as studies on the excessive intake of vitamin C due to supplementation and interactions with other nutrients, are needed.
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