• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.1
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• pp.70-77
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• 2015

With the purpose of studying the effects of K-wave event sponsorship on corporate image, surveys were conducted against visitors at K-wave marketing events in Tokyo and Nagoya which yielded 199 viable samples. These samples were subjected to descriptive and multivariate statistics analysis. Average and standard deviation were calculated and measured for total correlation coefficient to find out characterize of study variables. A Cronbach's alpha coefficient exceeding 0.7 indicated a good to excellent credibility of the measuring instrument. In addition, exploratory factor analysis was employed to establish validity of the measuring instrument. In order to determine the characteristics of K-wave events and the cause and relation of the subsequent effects on corporate image that stems from the aforementioned characteristics, 4 sub hypotheses were derived from 1 major hypothesis, of which 3 were determined to have a substantial and meaningful influence on the final outcome while 1 was rejected. However, due to lack of advance research, additional and continuous studies are warranted to establish a systemized theory in this field and further on, to observe such theories bear fruit in real world applications in the industry.

• Korean Journal of Remote Sensing
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• v.37 no.3
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• pp.615-625
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• 2021

The coastal areas around Palau Island and Tonga Island, near the Pacific equator, consist of coral reefs, mangrove and seaweed. In particular, understanding the optical properties of sea surface water in coral reef habitats helps improve the accuracy of remote sensing based habitat mapping and identify tropical ecosystem characteristics. Here, we collected spectral characteristics of sea surface water of Palau Island and Tonga Island and analyzed the concentration of suspended matters, absorption coefficient, and remote sensing reflectance to understand the seawater characteristics of the coral reef habitats. Based on the results of the suspended matter concentration analysis, we developed and verified an empirical algorithm to derive the concentration from satellite data using remote sensing reflectance of three bands, 555, 625, 660 nm, showed a high determinant coefficient, 0.98. In conclusion, coral reef habitats in tropical regions are characterized by CASE-I water in terms of the marine optics with oligotrophic properties, and require monitoring using continuous collection and analysis of field data.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.1
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• pp.283-290
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• 2014

This study analyzed the cultural competency and demand for a multicultural education program among nursing college students. The participants were 278 college students gathered through convenience sample method. Data were collected from November, 19 to 30, 2012 and analyzed using SPSS/PC Win 12.0 program. The major findings were as follows, First, the mean scores of cultural competency and demand for a multicultural education program were 2.8 and 3.9. respectively. Second, cultural competency scores of students varied with multicultural educational course experience. Third, demand for a multicultural education program varied in accordance with student's views of the necessity of multicultural education. Our results suggest that, courses focusing on understanding multicultural clients are needed and highly desired by nursing students.

• Journal of the Korean earth science society
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• v.23 no.7
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• pp.587-596
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• 2002

A super ensemble model was developed for the seasonal prediction of regional precipitation in Korea using the lag correlated large scale predictors, based on the empirical orthogonal function (EOF) analysis and multiple linear regression model. The predictability of this model was also evaluated by cross-validation. Correlation between the predicted and the observed value obtained from the super ensemble model showed 0.73 in spring, 0.61 in summer, 0.69 in autumn and 0.75 in winter. The predictability of categorical forecasting was also evaluated based on the three classes such as above normal, near normal and below normal that are clearly defined in terms of a priori specified by threshold values. Categorical forecasting by the super ensemble model has a hit rate with a range from 0.42 to 0.74 in seasonal precipitation.

• Journal of Gifted/Talented Education
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• v.23 no.1
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• pp.109-128
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• 2013

The purpose of this study is to verify the validity of KEDI Leadership Inventory (Simplified) for elementary and secondary school student. The existing Leadership Inventory is outdated by excessive or insufficient items. To verify reliability and validity of this KEDI Leadership Inventory (Simplified), we analyze internal consistency of scale for reliability and construct validity, convergent and discriminative validity. criterion-related validity. The internal consistency of the scale is relatively high from .610 to .838 for elementary school student, and from .734 to .936 for secondary school student To verify construct validity, we analyze a confirmatory factor analysis using AMOS whether revealed that the structural equation model including 5 construct validity in KEDI Leadership Inventory(Simplified) showed fit index at a satisfactory level as follows. The major fit indexes are showed as follows; CFI (.954), TLI (.943), RMSEA (.068) in the scale for elementary school student, CFI (.935), TLI (.915), RMSEA (.070) in the scale for secondary school student. Futhermore, to secure criterion-related validity, this KEDI Leadership Inventory(Simplified) showed significant correlations with student's leader position in their classroom for r=.358 (p<.01), and gifted education students are significantly higher .50 than no gifted student. This KEDI Leadership Inventory (Sim'plified) is made up of parsimonious 20 items, so that teachers can be convenient to identify intra-inter personal leadership characteristics of a student and recommend the student for gifted education institution.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.1970-1974
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• 2006

Tank 모형은 유역을 임의의 저류탱크로 가정하여, 유출공의 높이를 초과하는 저류고를 방출함으로써 유출량을 모의한다. 유출분석의 목적에 따라 직렬 3단 혹은 4단의 탱크로 구성하여 적용하는 것이 일반적인데, 국내의 일 단위 장기유출분석 연구에서는 직렬 4단 Tank 모형이 널리 활용되고 있다. 이러한 Tank 모형은 유역의 강우-유출관계를 모의하는 과정에 black box적인 특성을 지니고 있다. 그러나 각 저류탱크와 관련된 매개변수를 최적화하기 위해서는 매개변수들의 물리적인 의미를 이해하여야 한다. 이런 점을 고려하여 일본의 Sugawara는 경험적으로 매개변수들이 결정되는 범위를 제시한 바 있다. 그러나 기저유출을 모의하는 Tank 모형의 최하단 탱크에서 이러한 매개변수 범위에서는 적합한 값을 갖으나 장기적인 모의시에 저류고 및 유출고가 계속 증가하여 물리적인 유출특성을 반영하지 못하는 문제점이 나타났다. 따라서 본 연구에서는 이러한 문제점의 원인을 분석하기 위해 장기간의 자료가 구축된 소양강댐을 적용 유역으로 선정하여 최하단탱크의 유출공계수의 변화에 따른 유출량과 저류고의 변화를 살펴보았다. 분석결과 매개변수가 $0.0001{\sim}0.001$의 범위에서 장기간의 지속적인 저류고와 유출량의 증가가 나타났다. 그리고 유출공계수가 증가함에 따라 최대저류고는 감소하고, 저류고가 증가하는 지속기간이 짧아지는 것으로 나타났다. 그러나 통계치 변화분석에서는 상관계수, 평균제곱근오차, 모형효율성계수에서 거의 변화가 없는 것으로 나타났으며, 유출용적오차에서도 최대 약 6% 정도 유출용적이 변화하는 것으로 나타났다.mber)과 동일한 위치의 수온자료를 기초로 회귀분석을 실시함으로써 수온추출 알고리즘을 도출하여, 분석데이터의 신뢰도를 검증하였으며, 수온, 클로로필, 투명도 등을 위성원격탐사 자료와 GIS를 이용하여 공간분석을 실시하고, 공간분포도를 작성함으로써 대상해역의 해양환경을 파악하였다. 본 연구결과, 분석된 위성자료가 현장조사에 의한 검증이 이루어지지 않을 경우, 영상자료분석을 통한 표층수온 추출은 대기 중의 수증기와 에어로졸에 의한 계산치의 오차가 반영되기 때문에 실측치 보다 낮게 평가 될 수 있으므로, 반드시 이에 대한 검증이 필요함을 알 수 있었다. 현지관측에 비해 막대한 비용과 시간을 절약할 수 있는 위성영상해석방법을 이용한 방법은 해양수질파악이 가능할 것으로 판단되며, GIS를 이용하여 다양하고 복잡한 자료를 데이터베이스화함으로써 가시화하고, 이를 기초로 공간분석을 실시함으로써 환경요소별 공간분포에 대한 파악을 통해 수치모형실험을 이용한 각종 환경영향의 평가 및 예측을 위한 기초자료로 이용이 가능할 것으로 사료된다.염총량관리 기본계획 시 구축된 모형 매개변수를 바탕으로 분석을 수행하였다. 일차오차분석을 이용하여 수리매개변수와 수질매개변수의 수질항목별 상대적 기여도를 파악해 본 결과, 수리매개변수는 DO, BOD, 유기질소, 유기인 모든 항목에 일정 정도의 상대적 기여도를 가지고 있는 것을 알 수 있었다. 이로부터 수질 모형의 적용 시 수리 매개변수 또한 수질 매개변수의 추정 시와 같이 보다 세심한 주의를 기울여 추정할 필요가 있을 것으로 판단된다.변화와 기흉 발생과의 인과관계를 확인하고 좀 더 구체화하기 위한 연구가 필요할 것이다.게 이

• Journal of the Korean GEO-environmental Society
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• v.10 no.7
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• pp.7-14
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• 2009

The correlation equation empirically proposed to obtain compression indexes has been proposed to conveniently obtain the value using the soil parameter that can be obtained through simple tests when the number of time of consolidation testing is low or the distribution is large but most of the analyzed regions are limited to certain regions abroad or in the country and multiple data were integrated for use in many cases, thus it is not very reasonable to apply it. Therefore, to establish a new design method considering the uncertainty of the ground, it was selected the Kwangyang port area of which the data have been collected recently thus are relatively more reliable as the subject region of the study in order to maximally reduce the uncertainty of test data. After performing the verification of the normality of the consolidation test data obtained from the selected region and the transformation of variables, a prediction formula was proposed through the regression model with the transformed variables and the proposed regression model with transformed variables was compared with existing empirical equations to verify the suitability of the proposed model formula. After analyzing, it was confirmed that the coefficient of determination was increased after the Box-Cox variable transformation, thus the explanatory power was being enhanced and through the root-mean-square-error method, it was confirmed that the proposed model formula showed the most closed value to the test value.

• Journal of vocational education research
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• v.29 no.3
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• pp.1-21
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• 2010

Preservice teachers should learn the knowledge and skill necessary to meet intellectual, social and personal needs of students with culturally diverse background. Thus this study was to examine preservice teachers' attitudes and perception about multicultural education. The participants of the study comprised of 297 preservice teachers who were in the teacher preparation course. The questionnaire items consisted of 36 statements. The data were analyzed by factor analysis, correlation and t, F test. The results are as follows. First, on the basis of above, with respect to the reliability data, it is apparent that preservice teacher survey is adequate1y reliable. Second, needs of multicultural education and attitudes about cultural diversity of preservice teachers showed the positive correlation. Third, personal attitudes of preservice teachers about multicultural diversity were generally positive. Fourth, preservice teachers' expectation about the adequacy of curriculum in teacher preparation was low in compared with other factors. Attitudes about cultural diversity and attitudes preventing multicultural education showed the negative correlation. Based on this results, multicultural education should be reflected in the curriculum to meet diverse needs of preservice teachers. And teachers' attitudes and beliefs have an impact on their behaviors in the classroom, teachers preparation program for changes of their attitudes and beliefs should be developed.

• Journal of Science Education
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• v.47 no.1
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• pp.24-36
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• 2023

In this study, we investigated chemistry teachers' the Stage of Concern (SoC) and the Level of Use (LoU) regarding competency assessment, which was emphasized along with the introduction of the 2015 revised curriculum. A questionnaire was developed based on the CBAM, and responses from 123 chemistry teachers were analyzed. The frequency was investigated for both SoC and LoU, and then the chi-square test was performed according to demographic variables. As a result of the SoC analysis, most of the teachers stayed in stage 3 (management concern, 26.8%) and stage 2 (personal concern, 19.5%). Additionally, among the demographic variables, there was a statistically significant difference in whether or not related education experience was present during the pre-service teacher period. In LoU analysis, Level III (mechanical) was the most frequent (26.8%), followed by Level I (orientation, 22.8%), Level II (preparation, 13.8%). In LoU, there was also a statistically significant difference in whether or not related education experience was present during the pre-service teacher period. The Spearman correlation coefficient between SoC and LoU in the competency assessment was .298 and there was a positive correlation. Based on the above results, educational implications for improving the concern and use of chemistry teachers for competency assessment were discussed.

• The Journal of the Acoustical Society of Korea
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• v.43 no.1
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• pp.1-8
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• 2024

For measuring the performance of passive sonars, we usually consider the maximum Detection Range (DR) under the environment and system parameters in operation. In shallow water, where sound waves inevitably interacts with sea surface or bottom, detection generally maintains up to the maximum range. In deep water, however, sound waves may not interact with sea surface or/and bottom, and thus there may exist shadow zones where sound waves can hardly reach. In this situation, DR alone may not completely define the performance of each sonar. For complete description of sonar performance, we employ the concept 'Robustness Of Detection (ROD)'. In the coastal region of the East Sea, the spatial variations of water masses have close relations with DR and ROD, where the two parameters show reverse spatial variations in general. The spatial and temporal analysis of the temperature by employing the Empirical Orthogonal Function (EOF) shows that the 1-st mode represents typical pattern of seasonal variation and the 2-nd mode represents strength variations of mixed layers and currents. The two modes are estimated to explain about 92 % of the variations. Assuming two types of targets located at the depths of 5 m (shallow) and 100 m (deep), the passive sonar performance (DR) gives high negative correlations (about -0.9) with the first two modes. Most of temporal variations of temperature occur from the surface up to 200 m in the water column so that when we assume a target at 100 m, we can expect detection performance of little seasonal variations with passive sonars below 100 m.