• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.18 no.2
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• pp.65-69
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• 2013

In situ measurement of a primary production in East Sea, a marginal sea with a fair accessibility, is nonetheless an arduous task because of dynamic variability. In this study, we estimated the mean value of background (gross) primary production over the warm region of the East Sea based on a biogeochemical hypothesis. We propose an immiscible-shoaling hypothesis for the estimation of primary production, which assumes that primary production in the warm region occurred only by the nutrient supply through the Korea Strait. Annual primary production thus estimated is $209\;gC\;m^{-2}\;y^{-1}$, which is comparable to the satellite-based estimates of net primary production in the region. However, since this hypothesis assumes that primary production is based on only the new nutrients supplied to the system, primary production would increase by 40% if we release the assumption, and assume f = 0.6. This suggests that nutrient influx through the Korea Strait alone is more than enough to support primary production previously reported. Primary production may increase as much as two times if we considered other external perturbations excluded intentionally to estimate the background level of primary production, such as coastal upwelling, submerged ground water discharge, aeolian input, ocean dumping, and mixing by typhoons as well as the contribution of cyanobacteria that has not been quantified in the region. This implies the primary production in the warm region of the East Sea would be comparable to that of the Peru upwelling region with f = 0.6.

• The Mathematical Education
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• v.62 no.3
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• pp.327-340
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• 2023

The value that students consider important in math learning may vary depending on the student's socio-cultural background and personal experience. Although socio-cultural backgrounds are very diverse, I considered overseas vs domestic Koreans, and secondary school levels as variables in terms of students' educational experiences. Overseas students had a lower perception of the value in mathematics than domestic students, especially about understanding mathematics knowledge and the value of the latest teaching and learning methods. Middle school students perceived the value of mathematics as an activity higher than that of high school students, and high school students perceived student agency as a higher value than middle school students. In addition, I considered meta-affect as one of the individual students' experiences, finally meta-affect was a variable that could explain value perception in math learning, and in particular, affective awareness of achievement, affective evaluation of value, and affective using were significant. From the results, I suggested that research on ways to improve the value and the meta-affect in math learning, test to measure the value of students in math learning, the expansion of research subjects to investigate the value in math learning, and a teacher who teaches overseas Koreans are needed.

• Journal of the Korean earth science society
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• v.21 no.5
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• pp.623-634
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• 2000

This study was conducted to analyze the patterns associated with the short-term variability of CO$_2$ concentrations over 24-h scale within and across the Korean Peninsula. In the course of our study, we compared the data sets obtained from Moo-Ahn (MAN) station located in the far western coastal area of Korea with those determined from major background observatory stations around the world from the periods of Aug. 1995 to Dec. 1997. The mean CO$_2$ concentration of the MAN area for the whole study periods, when computed using the daily mean values, was found out to be 374.5${\pm}$6.6 ppm (N=884); seasonal mean values were found out to be 378${\pm}$5.2 (spring: N=181), 372${\pm}$10.2 (summer: N =210), 372${\pm}$7.2 (fall: N=243), and 376${\pm}$5.4 ppm (winter: N=206). When the data from MAN was compared with those of major background stations, the effects of both daily and seasonal components appear to vary distinctively across different stations. Those effects are expected to reflect the mixed effects of various factors which include: seasonal pollution patterns, weather conditions, vegetation, and so forth. Based upon this comparative analysis, we suspect that the MAN area is under the strong influence of anthropogenic source processes relative to all the other stations under consideration. If that is not the case, the existence of enhanced CO$_2$ level may be rather ubiquitous phenomena in Korea. More detailed inspection of CO$_2$ behavior from various respects is strongly desired in the future.

• Journal of the Daesoon Academy of Sciences
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• v.28
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• pp.1-34
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• 2017

This paper aims to understand the Daesoon Jinrihoe's view of human beings within the context of Korean religious history. Here, the context of Korean religious history refers to the view that every religion, including its doctrine, ritual, and organization is created in a specific historical context. In accordance with the purpose of this research, this paper consists of three main parts: firstly, chapter 2, 'An approach to the preceding research,' focuses on the previous studies on Daesoon Jinrihoe's view of human beings. In this part, I have divided the previous studies into psychological, philosophical, educational, and comparative approaches. These prior studies show that studies on the view of human beings started with approaches based on psychology and scriptural interpretations which were later extended to philosophical, educational, and comparative fields of study. However, these studies suggest that there are more suitable explanatory factors to explain the view of human beings. Secondly, chapter 3 (Daesoon Jinrihoe's view of human beings) explains the view of human beings through the utilization of six factors. This six factors are as follows: the origin of human beings, components of human beings, the final judgment after death, the independence and subjectivity of human beings, the purpose(s) of life, and the practices of life. In comparison with previous studies, these explanatory factors may contribute to a more specific explanation of the view of human beings. Thirdly, chapter 4 ('Remaining problems') focuses on future research tasks based on the six factors mentioned above. In this part, I pointed out various research tasks that have to be considered in future studies of Daesoon Jinrihoe's view of human beings, especially in connection to other religions. Finally, in the conclusion, I present two tasks for active research on the Daesoon Jinrihoe's view of human beings. One is the task of incorporating the terms related to humanity into Daesoon Jinrihoe's dictionary of scriptural terms. The other is the task of establishing a department to discuss doctrine and related issues.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.7
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• pp.380-390
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• 2020

Cyber-university has a higher rate of dropout freshmen due to various educational factors, such as social background, economic factors, IT knowledge, and IT utilization ability than students in twenty offline-based university. These students require a different dropout prevention method and improvement method than offline-based universities. This study examined the main factors affecting dropout during the first semester of 2017 and 2018 A Cyber University. This included management and counseling factors by the 'Decision Tree Analysis Model'. The Management and counseling factors were presented as a decision-making method and weekly methods. As a result, a 'Dropout Improvement Model' was implemented and applied to cyber-university freshmen in the first semester of 2019. The dropout-rate in freshmen applying the 'Dropout Improvement Model' decreased by 4.2%, and the learning-persistence rate increased by 11.4%. This study applied a questionnaire survey, and the cyber-university students LMS (Learning Management System) learning results were analyzed objectively. On the other hand, the students' learning results were analyzed quantitatively, but qualitative analysis was not reflected. Nevertheless, further study is necessary. The 'Dropout Improvement Model' of this study will be applied to help improve the dropout rate and learning persistence rate of cyber-university.

• The Journal of the Korea Contents Association
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• v.15 no.9
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• pp.72-83
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• 2015

The purpose of this study was firstly, to explore the design preference, consumer experience and purchasing factors of parents for smart animal toys and secondly, investigate whether there is a difference by children's sex and age. For this purpose, the questionnaire survey was conducted with 344 parents of younger children in Seoul and Gyeonggi Province. As a result, the white or brown colored 20~30cm, dog-type smart toy was preferred and the sound was considered as the most important function. Besides role of toy, smart toy was expected to play as a pet, a friend and a younger sibling. Actually, dog-type smart toy were most frequently purchased. And main satisfied causes were fun, interactivity and design and dissatisfied causes were noise, price, battery life and durability of purchased smart toys. Finally, the important factors in purchasing smart toy were the safety, durability, battery life, sustainable play, education and washability. The parents' preference, customer experience and purchasing factors showed little significant differences according to the sex and the age of the children. This research will be useful in understanding parents purchasing activity of smart animal toys and provide valuable data for function construction, design and service planning necessary to develop the smart animal toy.

• Journal of Music and Human Behavior
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• v.14 no.2
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• pp.45-70
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• 2017

The purpose of this study was to validate the Korean version of RESPECT-Music, which measures personal, social and cultural function of music, and to examine the correlation between the measured RESPECT data and the data measured from other scales for emotions. A survey was conducted with two separate groups of undergraduate students. Exploratory factor analysis with sample A (N=212) and confirmatory factor analysis and correlation analyses with sample B (N=296) were conducted. The result of exploratory factor analysis generated 10 factors as influential factors in music use, which was the similar results to the original scale: background, values, focus, dancing, family bonding, cultural identity, political attitudes, venting, emotional expression and social bonding. In the confirmatory factor analysis, this 35-item measurement was found to obtain adequate internal consistency and reliability. In addition, the correlations were found with other scales measuring emotional adjustment. Specifically, RESPECT showed a positive correlation with scales for positive affect, reappraisal, negative mood regulation and repair. Among the generated factors as music function, dancing was highly correlated with emotional adjustment, while political attitudes was negatively correlated with emotional adjustment. The results indicate that music use in our everyday lives is intercorrelated with the intrapersonal and interpersonal motives and emotional adjustment, while the function of music that influences cultural identity was not associated with the level of emotional adjustment. Implications for future studies were also suggested.

• Journal of Korea Port Economic Association
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• v.28 no.1
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• pp.159-178
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• 2012

Recently, Global network expansion strategy of GTOs(Global Terminal Operator) coupled with each country's port policy, plays huge role for the evolution of modern container port. The Chinese ports can be regarded as the major markets to the GTOs. However, there are scant of researches for finding the key success factors of GTOs' strategies when they consider to invest in overseas. In this respect, the aims of this study were to draw out the evaluation variables for successful investment strategies of GTOs, and to calculate the selected target ports. The 14 variables are selected including the variable named 'development potentiality of a port' through literature reviews. Using the Factor Analysis (FA) based on selected variables, four principal factors were extracted such as 'ability for port operating and cargo generating', 'the trade route and volume', 'the calling potentiality for large vessels' and 'the possibility of utilization of existing infrastructure'. In addition, the weights of factors and variables are evaluated through Fuzzy AHP method. As a result, 'ability for port operating and cargo generating' is chosen as the most important factor among principal factors as scored 0.343, and 'the development potentiality of a port' (0.107) is represented as the most important variable among 14 detailed variables. In overall, from the Global Terminal Operator's point of view, Shanghai is ranked as most suitable port for operating new terminal among the top 5 Chinese ports.

• Spatial Information Research
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• v.23 no.5
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• pp.53-64
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• 2015

Several countries have built National Spatial Data Infrastructure (NSDI) for information sharing among various fields. One of the important factors of NSDI is framework data, which is the most commonly used geospatial data across various fields. Previous studies on the framework data suggest components based on frequency survey and case study. However, such research methods do not have objectivity in setting the components of the framework data. This research uses factor analysis with 104 medium-level layers from the most widely used National Base Map and 5 layers from the other sources including cadastre and aerial image. Each layer is scaled with usage level as four different patterns of 1) background data, 2) reference data, 3) base data, and 4) other data, respectively. The analysis results show that the layers are grouped into 5 to 7 factors according to the patterns. ANOVA reveals that the mean differences between the factors with high values and the other factors with low values under each pattern are statistically significant. Such high value factors under each pattern consist of similar layers, close to identical, with those under the other categories. This research proposes framework data system, including transportation, building, hydrography, elevation, administrative district, digital orthoimagery, geodetic control, and cadastral based on the analysis results. Proposed framework in this research will be a basis of establishing spatial data sharing system. For sharing proposed framework data in various fields, these data must be established and distributed as actual standard and also related future researches should be performed.

• The Journal of the Korea Contents Association
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• v.19 no.7
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• pp.54-66
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• 2019

The purpose of this research is to examine and identify the factors that influence the outcome of performances in the popular music market. Therefore, this research analyzes music and concert ticket revenue charts, which serve as the most representative success quotient for singers, to delve into the elements that affect concert performance. Also, to secure reliability and validity of this research, 6 years(2012-2017) worth of data from Gaon Chart, a representative domestic music chart, and Interpark, the largest ticket purchasing site, were collected and analyzed. Research model identified how music chart ranking, genre, tv music shows, type of singer (gender and idol), and career affect concert performance rank via multiple regression analysis. The results suggest that music charts, music bands, tv music shows, and career had a significant effect on concert performance and rise in ranking; and the type of singer (gender and idol) had no significant influence. Finally, the result of this research could contribute to the understanding of the market of popular music.