• Journal of Industrial Convergence
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• v.21 no.5
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• pp.97-107
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• 2023

The purpose of this study was to provide basic data to improve happiness by verifying the mediating effect of career decision in the relationship between civic consciousness, community consciousness, career decision, and happiness of middle school students. As for the analysis data, the "2020 Gen Z Teenage Values Survey" data surveyed by the Korea Youth Policy Institute was used. Among the survey subjects, 2,703 middle school students who met the purpose of this study were sampled and analyzed using the SPSS WIN 25.0 program. For the analysis method, frequency analysis, descriptive statistical analysis, correlation analysis, and PROCESS MACRO Model Number 4 were used to verify the mediating effect, and indirect effects and significance were analyzed by applying the Bootstrap technique. The results of the study showed, first, that middle school students' sense of citizenship and community had a positive effect on happiness. Second, in the relationship between civic consciousness and happiness, career decision had a partial mediating effect. Third, in the relationship between community consciousness and happiness, career decision had a partial mediating effect. In other words, it is meaningful in that it presented policy alternatives and practical programs to improve the happiness of middle school students.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.5
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• pp.458-465
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• 2020

The purpose of this study is to analyze the effect of policy in Jeju, using a macro-economic forecasting model of Jeju. First, the model's reality explanatory power improved by updating its statistics to 2017 and expanding new policy variables and modules. Also, the industrial structure of the model was further subdivided and extended to be considered simultaneously in the demand side of Keynesian theory. Second, it was determined that the predictive power for the model of this study was better than that of the existing model. However, with some endogenous variables, it was possible to identify implications that should be developed and considered when the model is improved with additional data in the future. Third, when the second airport construction was considered, it was observed that its effect was an increase of 1.25 times for GRDP, 1.2 times for employment, 1.48 times for private consumption, and 2.06 times for investment. Also, the economic growth rate was estimated to be 1.6% point higher than when the second airport was not constructed. Finally, the results of this study are expected to be used for policy decision making of the Jeju Government.

• Journal of the Korean Society of Food Science and Nutrition
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• v.38 no.8
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• pp.1032-1036
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• 2009

This study was conducted to investigate the effect of dietary zinc on macro mineral contents of high fat diet-induced obese rats. The obese group was divided into three groups by zinc levels of diet, such as low (50% requirement), adequate (100%) and high (200%) levels of dietary zinc. The calcium, magnesium, sodium and potassium contents in serum and organs were measured by ICP. There were no significant differences in the food intake, weight gain and feed efficiency ratio among the different dietary zinc levels. Also, the liver, kidney and spleen weight did not show the significant differences among each level of dietary zinc. However, serum sodium and potassium concentrations in the low zinc diet group were significantly higher than in the other diet groups. In high zinc diet group, the calcium contents of liver was significantly higher than in the other diet groups, magnesium and potassium contents of liver were higher than in the low zinc diet group. The sodium contents of liver and magnesium and potassium contents of spleen were significantly lower in the low zinc diet group than in the other diet groups. In conclusion, the macro mineral contents of serum, liver and spleen in obese rats were changed by dietary zinc levels. Especially, the low zinc diet group considerably changed of macro mineral contents in organs. Therefore, it may be suggested that adequate level of dietary zinc in obese individuals should be required.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.13 no.1
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• pp.25-35
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• 2000

The superstructure of general bridge like slab bridge and slab on girder bridge is composed of elastically supported isotropic plate. The objective of this study is to develop the new analysis method for elastically supported plate with general edge beam or girder(boundaries) under arbitrary out of plane loading. The displacement solutions for the macro-element of plate and beam are obtained by solving for the unknown interactive forces and moments at the beam or nodal line locations after satisfying equilibrium equation along the nodal line. The displacement functions for macro-elements ate proposed in single Fourier series using harmonic analysis, and the equilibrium equations of nodal line are composed by using slope-deflection method. The proposed analysis method is programmed by MS-Fortran and can be applied to all types of isotropic decks with bridge-type boundaries. Numerical examples involving elastically supported plates with various aspect ratio, loading cases, and bridge-type boundary conditions are presented to demonstrate the accuracy of this program. The major advantage of this new analysis method is the development of a simple solution algorithm, leads to obtain rapidly responses of bridge deck system. This proposed method can be used in parametric study of behavior of bridge decks.

• Journal of the Economic Geographical Society of Korea
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• v.13 no.1
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• pp.64-88
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• 2010

Rapidly increasing transnational migration can be seen as a typical process which has proceeded under macro-contexts of socio-spatial characters of origin and destination country and their relationships, shaped with global uneven regional development in the process of glocalization and development of transportation and communication on the global level. In order to consider macro-contexts of transnational migration, this paper emphasizes the concept of multicultural space and some key elements implied in it, that is, place, territory, network, scale (suggested by Jessop et al.) and spatial flow and difference. As results of questionnaire analysis of foreign immigrants' recognition of macro-contexts, this paper suggests some findings: that is, a high level of recognition of all types of foreign immigrants on global changes, the most negative recognition of migrant workers among 4 types of foreign immigrants on economic and social conditions of their origin country, a positive recognition of people in all regions of their origin (except few countries such as Japan) on international migration, and a low level of their recognition in all types on S. Korea's characters as their destination country.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.34 no.3
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• pp.159-165
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• 2021

This study introduces a topology optimization method for the simultaneous design of macro-scale structural configuration and unit structure variation to ensure effective heat conduction. Shape changes in the unit structure depending on its location within the macro-scale structure result in micro- as well as macro-scale design and enable better performance than using isotropic unit structures. They result in functionally graded composite structures combining both configurations. The representative volume element (RVE) method is applied to obtain various thermal conductivity properties of the multi-material based unit structure according to its shape change. Based on the RVE analysis results, the material properties of the unit structure having a certain shape can be derived using machine learning. Macro-scale topology optimization is performed using the traditional solid isotropic material with penalization method, while the unit structures composing the macro-structure can have various shapes to improve the heat conduction performance according to the simultaneous optimization process. Numerical examples of the thermal compliance minimization issue are provided to verify the effectiveness of the proposed method.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2004.11a
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• pp.250-255
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• 2004

To analyze delay, Seoul - Daegu line of Korea High Speed Railway was divided into three sections and analyzed independently by the business characteristics. The analysis on the project delay reasons was performed on macro and micro scales. This analytic method was named as 'Macro-Micro Delay Analysis Method (MMDAM)'. The macro scale analysis has three approaches, which are (1) scheduling, (3) structural characteristic, (3) and responsibility of project administrative works. Micro analysis also has three, methodologies which are (1) As Planned Method, (2) As Built method, (3) Modified Time Impact Analysis for analyzing the most influential section which the largest delay occurred. Using elicited project delay reasons from above analysis, the questionnaire was carried out for analyzing the influence of project delay reason. The reasons of the delay were driven from two different aspects (1) structural characteristic and (2) responsibility of the people involved in the project. The reasons that were identified from aforementioned three sections are the factors of the delay of the large-scale government driven projects. Finally, the author suggested the methodology of identifying the project delaying factors. The author also analyzed delay reasons in both the overseas and domestic cases of high rapid railway construction and has elicited some benchmarks for the future projects.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.4
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• pp.228-234
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• 2021

Real estate market participants need to have a sense of predicting real estate prices in decision-making. Commonly used methodologies, such as regression analysis, ARIMA, and VAR, have limitations in predicting the value of an asset, which fluctuates due to unknown variables. Therefore, to mitigate the limitations, an artificial neural was is used to predict the price trend of apartments in Seoul, the hottest real estate market in South Korea. For artificial neural network learning, the learning model is designed with 12 variables, which are divided into macro and micro factors. The study was conducted in three ways: (Ed note: What is the difference between case 1 and 2? Is case 1 micro factors?)CASE1 with macro factors, CASE2 with macro factors, and CASE3 with the combination of both factors. As a result, CASE1 and CASE2 show 87.5% predictive accuracy during the two-year experiment, and CASE3 shows 95.8%. This study defines various factors affecting apartment prices in macro and microscopic terms. The study also proposes an artificial network technique in predicting the price trend of apartments and analyzes its effectiveness. Therefore, it is expected that the recently developed learning technique can be applied to the real estate industry, enabling more efficient decision-making by market participants.

• Clean Technology
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• v.16 no.1
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• pp.51-58
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• 2010

Methane was produced from the anaerobic digestion of marine macro-algae. Elemental analysis was first performed to estimate the theoretical methane production of three macro-algae (Undaria pinnatifida, Laminaria japonica, Hizikia fusiformis). Three algae were found to contain C 34 ~ 36%, H 5%, O 37 ~ 43%, N 2 ~ 4%, S 0.4 ~ 0.7%, and ash 14~21%, and the theoretical methane content was in the range of 56 ~ 60%, which can produce 442 ~ 568 mL $CH_4$ per g of volatile solid (VS). Using the biological methane potential (BMP) test, we found that L. japonica resulted in the highest yield of methane (52%). Moreover, various operational conditions, such as algae amount, pH, salinity, particle size, and pre-treatment, were investigated in order to find an optimal condition of anaerobic digestion. At pH 8.0, the autoclaved L. japonica (5g VS/200 mL), when used without washing salt, produced 268.5 mL/g VS which is 65% of the theoretical methane productions. Furthermore, using a CSTR (with the working volume of 7 L out of the total volume of 10 L), we have successfully operated the reactor for 65 days and obtained maximum methane production rate of 1.4 L/day with purity of 70%.

• Spatial Information Research
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• v.4 no.1
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• pp.1-11
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• 1996

DRASTIC system developed by U.S.EPA, is widely used for assessing groundwater pollution potential The system can be applied to site selection of well or waste disposal, Ianduse planning for groundwater protection, and monitoring. In this study, GIS(Geographic Information System) was established hydrogeological database of DRASTIC system and cartographic modeling to asre:; regional groundwater pollution potential around Chungju Lake. Hydrogeological factors of the system were depth to water, net recharge, aquifer media, soil media, slope and hydraulic conductivity. Risk of groundwater pollution to non -point source pollution, was also analyzed by incorporation of actual pollution sources(N, P) and DRASTIC system. The GIS data could be very quickly analysed hydrogeological characteristics of the study area by graphic user interface programs devel¬oped with AML(ARC Macro Language) of ARC/INFO.