• Journal of the Korean Society of Environmental Restoration Technology
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• v.18 no.1
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• pp.37-51
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• 2015

Sparganium japonicum Rothert. is designated as a near threatened species by the National Institute of Biological Resources and is restrictively distributed in South Korea. To conserve and restore habitats of this plant, we investigated environmental characteristics and vegetation at five habitats during the growing season. Thirty plant species from seventeen families were found in the S. japonicum community. The species frequently found in this community included Utricularia vulgaris, Potamogeton distinctus, Phragmites japonica, Cicuta virosa, Persicaria thunbergii, Phragmites communis, Hydrilla verticillata. Maximum height of this plant reached at August and average height at five habitats is 120 cm at this time. Water and soil environmental factors showed low values compared with that of other wetlands. S. japonicum lived in not only shallow water level but also deep water level. These results can be helpful for S. japonicum habitat conservation and restoration.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2019.05a
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• pp.30-31
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• 2019

Carbonation of the root concrete reduces the durability of the reinforced concrete, and it is important to check the carbonation resistance of the concrete to ensure the durability of the reinforced concrete structure. In this study, a basic study on the prediction of carbonation progress was conducted by considering the mixing conditions of concrete using deep learning algorithm during the theory of artificial neural network theory. The data used in the experiment used values that converted the carbonation velocity coefficient obtained from the mixing conditions of concrete and the accelerated carbonation experiment into the actual environment. The analysis shows that the error rate of the deep learning model according to the Hidden Layer is the best for the model using five layers, and based on the five Hidden layers, we want to verify the predicted performance of the carbonation speed coefficient of the carbonation test specimen in which the exposure experiment took place in the real environment.

• Proceedings of the Korea Concrete Institute Conference
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• 2006.11a
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• pp.93-96
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• 2006

This study represents results of performance-based fragility analysis of reinforced concrete (RC) bridge. Monte carlo simulation is performed to study nonlinear dynamic responses of RC bridge. Two-parameter log-normal distribution function is used to represent the fragility curves. These two-parameters, referred to as fragility parameters, are estimated by the traditional maximum likelihood procedure, which. is treated each event of RC bridge pier damage as a realization of Bernoulli experiment. In order to formulate the fragility curves, five different damage states are described by two practical factors: the displacement and curvature ductility, which are mostly influencing on the seismic behavior of RC bridge piers. Five damage states are quantitatively assessed in terms of these seismic ductilities on the basis of numerous experimental results of RC bridge piers. Thereby, the performance-based fragility curves of RC bridge pier are provided in this paper.

• Journal of The Korean Association For Science Education
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• v.34 no.7
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• pp.625-634
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• 2014

This study has investigated the factors that make a science teacher effective by analyzing students' perception of teacher knowledge required in enhancing their science learning. The basic components of teacher knowledge identified by previous researchers have been confirmed through Exploratory Factor Analysis (EFA). Based on the findings of the EFA, the questionnaire has been further analyzed using Confirmatory Factor Analysis (CFA) by means of Structural Equation Modeling (SEM). In addition, the differences in students' perception on the identified factors of effectiveness have also been analyzed in terms of gender and achievement level. The findings of the EFA showed that five factors of science teacher effectiveness were identified; namely, substantive knowledge, syntactic knowledge, knowledge of students' understandings, knowledge of instructional strategies, and knowledge of assessment. These five components have been divided into two categories of teacher knowledge, SMK and PCK. What we found from the CFA was the respective high correlation between substantive and syntactic knowledge, knowledge of students' understanding and instructional strategies and the low correlation between substantive knowledge and knowledge of instructional strategies. Students perceived substantive knowledge as the most effective factor, knowledge of assessment as the least effective factor. Also, there have been considerable differences in students' perception by gender and achievement level. We proposed, based on the findings, that SMK and PCK need to be integrated into a coherent manner for the effective science teaching practice. This study provides some implications for science teacher professional development and the improvement of science teacher preparation program.

• The Research Journal of the Costume Culture
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• v.6 no.2
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• pp.92-108
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• 1998

The purpose of this study was designed a) to examine the relative importance for college students' clothing disposal causes and their factor structure: b) to test the effects of gender, clothing satisfaction and family income on clothing disposal determinants; and c) to assess the relationship between clothing purchase determinants and overall clothing satisfaction and clothing disposal determinants. Data (n=660) were collected from college students in Cheju Do. The survey questionnaire composed of a revised Clothing Disposal Determinants Scale, Clothing Purchase Determinants Scale and background variables. First, the most important reasons for clothing disposal were to unfit with body change, get washed our and raise nap on clothe, wornout with long-term use, do not ware for new purchasing clothe, uneasy on wear. Second, factor analysis of the revised Clothing Disposal Determinants Scale revealed five factors; unfitness, fashion change, quality dissatisfaction, product efficiency decrement, and maintenance/inconvenience. Third, female students perceived significantly higher in fashion change and unfitness than male students. Forth, unfitness and product efficiency decrement were significantly discriminated between between clothing satisfaction groups, unfitness and fashion change variables were significantly discriminated between family income groups. fifth, impulsive purchase factor was the best predictor of composite clothing disposal measure, followed by individuality, clothing satisfaction, practicality. The best predictors of each disposal factors were individuality oriented purchasing criterion in unfitness factor. Fashion in fashion change, impulsive purchase in quality dissatisfaction and product efficiency decrement factors, and practicality in maintenance/inconvenience factor. As a whole, the most consistent predictor of clothing disposal determinants was impulsive purchase factor.

• The Research Journal of the Costume Culture
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• v.9 no.4
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• pp.592-601
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• 2001

This study focuses on fashion adoption behavior of adolescents. The impact of their clothing involvement factors and socio-demographic factors on their fashion adoption behavior was examined. Three core issues were identified for empirical test: 1) Elements of clothing involvement for adolescents; 2) Fashion adoption behavior of adolescents; 3) Impact of clothing involvement elements on fashion adoption behavior. The Likert Type questionnaires were used to measure clothing involvement and fashion adoption behavior. The data of 472 samples drawn from middle and high school students in Taegu Metropolitan City were analyzed by factor analysis, ANOVA, Scheff test, t-test and regression analysis. Main results of the study are as follows. 1 . Concept of the clothing involvement is composed of five dimensions: importance, fashion, self-expression, pleasure, and buying risk. 2. Socio-demographic factors do influence fashion adoption behavior. Average monthly pocket money, expenditures on clothes and household income are found to have statistically significant impacts on the adoption behavior. Female students are more fashion-oriented than male students. 3. The clothing involvement elements are found to have significant influences on fashion adoption behavior: fashion, importance and self-expression elements on fashion innovation; fashion, importance and pleasure elements on fashion information search.

• Journal of Korean Public Health Nursing
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• v.26 no.3
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• pp.518-531
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• 2012

Purpose: This study was conducted in order to develop and test a measurement for assessment of stress of female marriage immigrants in Korea. Methods: Forty four preliminary items were initially developed based on literature review and focus group interviews. Those items were evaluated by experts for content validity, resulting in six factors and 26 items. The 26 items were translated into Chinese, Vietnamese, and English by professional translators and were reviewed by native speakers of each language who are fluent in Korean. For testing validity and reliability, data were collected from 323 female marriage immigrants residing in five regions in Korea. Results: As a result of item analysis, 25 items were selected. Factor analysis yielded 21 items in four factors, including 1) household economic 2) parenting and discrimination 3) cultural and 4) emotional stressors, explaining 61.3% of the total variance of stress of female marriage immigrants in Korea. The Cronbach's alpha reliability coefficient was .903 for the overall instrument and .692-.892 for four factors. Conclusion: Measurement of stress for female marriage immigrants in Korea has high validity and reliability. Therefore, this measurement may be utilized for systematic assessment of stress and for identification of areas of support for female marriage immigrants in Korea.

• Journal of the Korean Home Economics Association
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• v.42 no.11
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• pp.223-235
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• 2004

This study investigated the integrated effects of family and school factors on the cyber behavior of adolescents. Specifically, the purposes of this study were to categorize adolescents into groups by family and school factors and to find investigate differences among the groups regarding cyber behavior (internet use, internet purpose, and internet experience). no study distributed the questionnaires to middle and high school adolescent students of five representative cities in South Korea. The total respondents were 2240 (960 from Seoul/kyongki, and 320 each from Taegu, Pusan, Kwangiu, and Taejon). The response rate w3s 98.7%. no data were analyzed by factor analysis, cluster analysis, ANOVA, and Duncan test. The results showed that Korean adolescents were segmented into four groups (family preference/school preference group, family dissatisfaction/teacher dissatisfaction group, family average/school average group, family average/peer dissatisfaction group). The four groups were significantly different in regard to cyber behavior. For example, the family dissatisfaction/teacher dissatisfaction group u%d internet to relieve stress and used communication more than the other groups. Also, the group had more diverse cyber behavior including internet addiction. The implications of the study were further discussed.

• Journal of the Korean Society for information Management
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• v.27 no.1
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• pp.103-118
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• 2010

Recently, the valuation of patented technology has been greatly emphasized, and patent citation has been accepted as a very useful index of this technology. In this study, we performed correlation analyses between the patent citation counts and 17 explanatory variables of morphological, technological, and conceptual factors with a test dataset of U.S. patents in five subject fields. Seven variables having 5% or more standardized variances($r^2$) with patent citation counts were identified; number of pages, number of claims, reference-average-citation rate, patent increase/decrease rate, strength of bibliographic coupling, co-citation counts and document similarity. The result of the ANOVA test shows that the mean values of these variables vary among most subject fields.

• Journal of Distribution Science
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• v.18 no.9
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• pp.45-53
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• 2020

Purpose: This study aims at investigating consumers' choice in online food purchasing behavior and the impact on repurchase for fresh food delivery which has recently shown rapid growth in Korea. The study focuses on the user experience factors af fecting satisfaction and intention to continuously use the online food market. Research design, data and methodology: The survey was conducted by 309 people who had purchased fresh food online, and the analysis was conducted using SPSS and AMOS. Structural Equation Modeling was used for the analysis for the verification of hypotheses. The factors that consumers value when ordering fresh food delivery services were defined as system quality, service quality, commodity quality, brand characteristics, and economics from the preceding study and the relationship between satisfaction and willingness to repurchase was verified. Results: When consumers purchase fresh food online, system quality, product quality, brand characteristics, and economics have had a significant impact on satisfaction. Meanwhile, of the five optional attributes of consumers, only economic efficiency has been verified to have a statistically significant impact on repurchase intentions. Conclusions: The results of the study suggested factors that consumers consider important when ordering fresh food online, providing basic data for companies to develop related strategies.