• Korean Journal of Child Studies
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• v.24 no.4
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• pp.71-88
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• 2003

Concept mapping was used to analyze the knowledge of kindergarten teachers about early childhood music instructional content. Data obtained from the 85 subjects was analyzed by Yun's method(1998) based on Novak & Gowin(1984), Morine-Dershimer(1993), and Markhan, Mintzes & Jones(1994). The majority of the teachers perceived the superordinate concepts of early childhood music instructional content to be listening to music, singing, movement, and playing musical instruments. They perceived early childhood music instructional content to be activity rather then knowledge. Listening to music was high in frequency among superordinate concepts and musical attitudes were high among subordinate concepts. Teachers used 285 words in expressing their cognitive maps. There was no effect on cognitive maps by teaching career or level of education.

• Korean Journal of Agricultural Science
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• v.43 no.2
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• pp.240-248
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• 2016

Radish is a common vegetable consumed in Korea, Japan, and China. Radish Breeding has been conducted based on morphological properties, such as shape and color. Recently, physicochemical properties of radish are attracting more attention from breeders to develop cultivars for the retail market. In this study, major components of radish were determined and their relationship with textural property analyzed. Sixty-six radish cultivars were selected and divided into white head (WH) and green head (GH) according to their head color. The cutting forces of GH and WH groups were $2.17{\pm}0.34kg$ and $2.31{\pm}0.36kg$, respectively (P > 0.05). The starch contents of GH and WH were $3.75{\pm}0.39g\;per\;100g$ (dry basis) and $4.24{\pm}0.62g$, respectively. Cellulose contents in both groups were similar at 12.3-12.4 g per 100 g (dry basis). Pearson correlation coefficients between cutting force, cellulose content, and starch content ranged from -0.33-0.326 which does not demonstrate any strong correlation between these components. Therefore, no relationship was found between the cutting force and the starch content or the cellulose content for the cultivars analyzed in this study. As the first intensive study on the texture and the major components of radish, these results could provide valuable information for radish breeding if further studies on taste and nutrient components are conducted.

• The Korea Journal of Herbology
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• v.26 no.1
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• pp.103-110
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• 2011

Objective : For the standardization and quality control of eleutheroside E in Eleutherococcus species, HPLC analysis was performed and eleutherosdie E content was compared in 23 kinds of Eleutherococcus species collected from Korea and China. Methods : The content of eleutheroside E in stem bark of Eleutherococcus species collected from Korea and China were analyzed by HPLC. 0.5% phosphoric acid and acetonitrile was used as mobile solvent. Validation of HPLC analysis method was confirmed by analyzing specificity, linearity, precision and accuracy following ICH guideline. Results : Content of eleutheroside E was determined to be 1.0-1.6% and 0.5-0.8% in Korean and Chinese E. senticosus, respectively. Content of eleutheroside E in E. sessiliflorus was 0.7-1.1% and 0.2-0.4% respectively in Korean and Chinese origin. All calibration curves showed good linear regression. The method showed good precision and accuracy with intra-day and inter-day variations of 0.880-3.442% (RSD) and 0.606-3.328% (RSD), respectively, and average recovery was of 0.141-1.363% (RSD), for the eleutheroside E analyzed. Conclusion : These results might be used to establish a criterion of eleutheroside E in Eleutherococcus species.

• Journal of Powder Materials
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• v.25 no.5
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• pp.395-401
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• 2018

The improvement of dispersion stability for the primary polishing slurry in a CMP process is achieved to prevent defects produced by agglomeration of the slurry. The dispersion properties are analyzed according to the physical characteristics of each silica sol sample. Further, the difference in the dispersion stability is confirmed as the surfactant content. The dispersibility results measured by Zeta potential suggest that the dispersion properties depend on the content and size of the abrasive in the primary polishing slurry. Moreover, the optimum ratio for high dispersion stability is confirmed as the addition content of the surfactant. Based on the aforementioned results, the long-term stability of each slurry is analyzed. Turbiscan analysis demonstrates that the agglomeration occurs depending on the increasing amount of surfactant. As a result, we demonstrate that the increased particle size and the decreased content of silica improve the dispersion stability and long-term stability.

• The Korean Journal of Food And Nutrition
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• v.32 no.5
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• pp.530-535
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• 2019

In this study, the quality characteristics of 30 kinds of long-term matured soy sauce collected from all over Korea classified according to ripening period were analyzed. The longer the soy sauce had to matured, the closer the pH was to neutrality. Acidity decreased as the ripening period increased. Total nitrogen and amino nitrogen content increased as the soy sauce matured. Moisture content decreased with the increasing soy sauce ripening period, and the content of pure extracts increased in proportion to the ripening period. The numbers of bacteria, fungi, and yeast increased in proportion to the maturation period. The content of P was highest in all soy sauce analyzed, followed by K, Ca, Mg, Fe and Zn. Mg and Ca contents decreased with maturing, whereas K increased with maturing.

• International journal of advanced smart convergence
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• v.10 no.3
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• pp.122-130
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• 2021

This study is about an Artificial Intelligence-based fake news identification system and its methods to determine the authenticity of content distributed over the Internet. Among the news we encounter is news that an individual or organization intentionally writes something that is not true to achieve a particular purpose, so-called fake news. In this study, we intend to design a system that uses Artificial Intelligence techniques to identify fake content that exists within the news. The proposed identification model will propose a method of extracting multiple unit factors from the target content. Through this, attempts will be made to classify unit factors into different types. In addition, the design of the preprocessing process will be carried out to parse only the necessary information by analyzing the unit factor. Based on these results, we will design the part where the unit fact is analyzed using the deep learning prediction model as a predetermined unit. The model will also include a design for a database that determines the degree of fake news in the target content and stores the information in the identified unit factor through the analyzed unit factor.

• The Journal of Economics, Marketing and Management
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• v.10 no.2
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• pp.23-39
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• 2022

Purpose: This study aims to examine the effect of SNS, an important advertising means of airlines, on advertising attitudes and brand change behavior. It is intended to present practical implications by empirically analyzing demographic differences according to the source of SNS information acquisition. Research design, data and methodology: The questionnaire was revised to the contents of this study based on previous studies. It was conducted from June 15 to September 15, 2021. 297 copies were confirmed as valid samples and empirically analyzed. The proposed model was analyzed through path coefficient estimation. Results: SNS advertisement content has a positive effect on advertising attitude and brand change behavior. Advertising attitude has a positive effect on brand change behavior and has a mediating effect between advertising content and brand change behavior. There was a difference according to the source of information acquisition. Conclusions: This study suggested that when airlines engage in advertising using SNS, knowing and utilizing SNS content should be considered very important for airlines because it affects advertising attitudes and brand change behavior differently. This study is meaningful in that it can present the characteristics of SNS contents that can enhance advertising attitudes and brand change behavior when conducting marketing using SNS.

• Journal of Digital Convergence
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• v.21 no.2
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• pp.27-32
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• 2023

This study is about a marketability analysis and commercialization methodology analysis system using big data, and a marketability analysis and commercialization methodology analysis system that can analyze the marketability of the product based on a content channel capable of viral marketing. The marketability analysis and commercialization methodology analysis system using big data according to this study analyzes the marketability of the products to be analyzed by analyzing the marketing content provided on the content channel, so it has the advantage of determining more accurate viral marketing effects on the products to be analyzed.

• International Journal of Knowledge Content Development & Technology
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• v.11 no.1
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• pp.85-111
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• 2021

This study aims to analyze users' assessment of electronic libraries in the mobile app market and promote service improvement based on this. To this end, the basic background and purpose of the research, research method, and research scope were first set, and the relevant literature and empirical prior studies were analyzed. Next, users' evaluations of electronic libraries were collected and analyzed from Google Play Store. Based on the results analyzed, measures to improve the quality of electronic libraries were discussed. Based on the results of the study, the following improvement measures are proposed. Need for systemic improvement and stabilization. Provision of applications suitable for multi-device environments. Resumption of services after systematic inspection after updating. Simplification of sign up, log in, and authentication procedures. User support through real-time chat. Introduction of a detailed assessment of reviews. Provision of guidance and user manual for electronic libraries. Improvements to expand user convenience, and Securing differentiation from other similar services.

• Preventive Nutrition and Food Science
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• v.13 no.3
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• pp.231-236
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• 2008

Response surface methodology (RSM) was used for the analysis and optimization of the production process of strawberry Kochujang. Experiments were carried out according to a central composite design, selecting strawberry puree content and red pepper powder content as independent variables and soluble solids content, moisture content, water activity, color characteristics ($L^*-$, $a^*-$, and $b^*$-values) as response variables. The polynomial models developed by RSM were highly effective for describing the relationships between the study factors and the responses. Kochujang containing a higher amount of red pepper powder had a higher soluble solids content; on the contrary, soluble solids content decreased with the increase in the strawberry puree content in the sample. Moisture content increased with increased strawberry puree content but decreased with increased red pepper powder content. Water activity increased with the increase in strawberry puree content in the sample but was less affected by the amount of red pepper powder content. Decreases in $L^*$-values with increasing amount of red pepper powder were noted. $a^*$-values decreased with the increases in red pepper powder content but increased with the increase in strawberry puree content in the Kochujang formulation. $b^*$-values decreased with the increases in red pepper powder content but was less affected by the strawberry puree content. Overall optimization, conducted by overlaying the contour plots under investigation, was able to point out an optimal range of the independent variables within which the six responses were simultaneously optimized. The point chosen as representative of this optimal area corresponded to strawberry puree content=14.36% and red pepper powder content=11.33%, conditions under which the model predicted soluble solids content=$59.31^{\circ}Brix$, moisture content=45.30% (w.b.), water activity=0.758, $L^*$-value=24.81, $a^*$-value=7.250, and $b^*$-value=10.19.