• Journal for History of Mathematics
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• v.25 no.3
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• pp.119-140
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• 2012

This study analyzed the questions related to the content knowledge of mathematics subject for the middle and high school teacher employment examination conducted from the school year of 2009 to 2012 based on the evaluation scope of the mathematics subject content knowledge and evaluation contents which were presented by the Korea Institute for Curriculum and Evaluation(KICE). To achieve the objectives of this study, a total of 105 questions were collected with respect to the questions that appeared on the test over the last 4 years which aimed to evaluate the level of applicants' knowledge related to the contents of mathematics subject. The ratio of the contents covered in the test was assessed based on the scope of evaluation and the items for evaluation among the 9 subjects. Based on the results, suggestions were presented in relation to the operation of the mathematics curriculum for the department of mathematics education at the college of education or the restructuring of the evaluation scope. There was a significant difference in the ratio of items that appeared on the test among the 9 subjects related to the content knowledge of mathematics. Also, there was a remarkable difference in the ratio of items covered in the test among the evaluation scope by subject. The results of analysis on the evaluation content items suggested that 149 items out of 256 items did not appear in the teacher employment examination for 4 years. Based on such results of analysis, this study discussed the need for readjusting the ratio of items covered in the test of content knowledge related to mathematics or the evaluation scope and evaluation content items.

• The Korean Journal of Community Living Science
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• v.23 no.2
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• pp.103-116
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• 2012

The purpose of this study was to investigate the trend of academic journals of institutional foodservice published from 2005 to 2009. This study was conducted by content analysis. We collected 322 articles including the subject of institutional foodservice Industry published from January 1, 2005 to December 31, 2009. Classification based on content analysis was conducted based on research method, statistical analysis, survey area, institution and location, sample type and research subject. First, in case of the research method, primary field survey/monitoring showed the highest rate. In addition, statistical analysis was as follows. Frequency/descriptive analysis were used as the highest rate. Survey area was a high percentage in case of Seoul/Incheon/Gyeong-gi province. In case of the institution and location, school/university showed the highest rate. In the sample type, foodservice employee/dietitian/nutrition teacher showed the highest rate. In this study, the most important research subjects were classified study subjects into seven by taking advantage of the previous studies. The greatest numerical study in seven study subjects was 'service quality and customers'(28.9%), and the following subjects were 'foodservice operation'(26.4%), 'hygiene, security and microbiology' (15.8%), 'organization and human resource' (15.5%). But it is noteworthy that 'marketing and strategic management'(9.6%) and 'education and training'(3.1%) of lower research results in this study are also important fields in institutional foodservice industry. Moreover, the study of such subjects is considered more necessary in the future.

• Korean Journal of Breeding Science
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• v.42 no.2
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• pp.129-138
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• 2010

Total phenolic content, total anthocyanin content and antioxidant activity were analyzed from rice samples collected in Korea, Japan and China. The results showed that the total phenolic content and free-radical scavenging activity differed significantly in these rice lines. The correlation between content and activity was subsequently investigated. The results showed that in black rice, anthocyanin was the major phenolic component and that both phenolic content and anthocyanin content were closely correlated with free-radical scavenging activity. Reverse Phase High Performance Liquid Chromatography (RP-HPLC) data showed that cyanidin-3-O-glucoside and peonidin-3-O-glucoside composed about 90% of the total anthocyanin content in black rice and in red rice. In the red rice extract, the total phenolic content produced a high correlation coefficient with antioxidant activity but correlated very poorly with the total anthocyanin content. The $OD_{458}$ and the $OD_{500}$ values which represent the proanthocyanidin content of the rice extract, produced high correlation coefficients with antioxidant activity and total phenolic content. These results suggest that the $OD_{458}$ and the $OD_{500}$ values can be used to evaluate the quality of red rice. In addition, based on the data obtained, a competitive accumulation model of anthocyanin and proanthocyanidin in black and red rice was proposed.

• The Research Journal of the Costume Culture
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• v.29 no.2
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• pp.289-306
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• 2021

The study aims to define the Korean Wave as global attention to Korea's unique culture and consider the specificity of traditional Korean fashion images in Korean Wave content. The research method of this study is a case study through literature research. In order to collect Korean Wave content on YouTube, 24 channels with the highest number of views were selected from among content uploaded from 2018 to the present through keyword search, and up to two channels with high views showing traditional Korean fashion images. As a result of selecting the analysis target, 41 Korean Wave videos and 368 costumes were selected and analyzed based on fashion style elements, including item, color, detail, motif, styling, silhouette, and accessory. As a result of the study, music, broadcast, fashion, and other content were found in the Korean Wave content fields in which Korean fashion style appeared, and the characteristics of each field were derived. Music content was characterized by fashion style excluding stereotypes about traditional Korean costume, broadcast and fashion content was characterized by fashion style inherited from traditional costume, and other content was characterized by symbolic fashion style of traditional culture. This study is meaningful in revealing the formative characteristics of traditional Korean design elements recently shared online through the study of Korean traditional fashion images in Korean Wave content.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.973-980
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• 2023

This study analyzed the effects of a Micro-learning content-based extracurricular program among university students based on their general characteristics. A survey was conducted on 600 students affiliated with G University, a major national university. Learning immersion and learning motivation were used as the key indicators for measuring the learning effects. Cronbach's α coefficient analysis was performed to validate the reliability of the learning effect measurement tool. Independent sample t-tests were utilized to analyze differences in learning immersion and learning motivation based on gender and major disciplines. One-way analysis of variance (ANOVA) was employed to measure differences in learning immersion and learning motivation according to academic year. According to the research findings, gender and academic year did not significantly influence participation in the Micro-learning content-based program. However, differences in learning immersion and learning motivation were observed depending on the major discipline. Based on this, it is suggested that future programs should provide suitable environments and stimuli based on the students' major disciplines.

• Economic and Environmental Geology
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• v.7 no.3
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• pp.87-100
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• 1974

This paper deals with grain size analysis, heavy mineral analysis and trace element analysis of the recent sediments of Han River basin between Cheongpyong, Gyeonggi province and Seoul. For each location the samples are taken at river shoreline, river berm and river dune. The size analysis discloses that the mean values range from $-1.37{\phi}$ to $-1.60{\phi}$, sorting values range from 0.25 to 1.84, skewness values range from -0.44 to 0.51 and kurtosis values range from -0.1 to 1.75. Based on the textural parameters, the dune sand can be distinguished from the shoreline-berm sand. The content of heavy minerals of each sample ranges from 0.04 to 4.7%. The principal heavy minerals are ilmenite, magnetite, leucoxene, garnet, amphibole, pyroxene, kyanite, zircon, monazite, tourmaline, epidote, limonite, and minor minerals are apatite, sillimanite, andalusite and olivine. In general, dune sand samples contain more heavy minerals than the samples of shoreline or berm sand. This suggests that the heavy mineral concentration is affected by wind action more than by any other causes. The content of ilmenite and leucoxene decreases, whereas the content of zircon and epidote increases as it approaches the downstream region. The differences result from the variance of geological occurrences. The emission spectrochemical analysis and colorimetry analysis revealed that the content of Ni and V in the heavy minerals of the study area are higher than those of other stream sediments in Korea. On the other hand the content of Cu, Ph, Zn, Mo, W, P, Mn, Cr, Ag and Sn are lower in the study area. It has been observed also that the contents of all the elements except for Bi are higher in this area than the samples of marine sediments of Yellow Sea.

• Journal of The Korea Institute of Healthcare Architecture
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• v.21 no.1
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• pp.37-46
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• 2015

Purpose : With a recently growing population of the disabled, the importance of creating the living environment for them has been emphasized, making the design guidelines to play more important role in this sense. This research aims to generalize the existing design guidelines for the housing for the disabled, diagnose their problems, and suggest a systematic and consistent milestone of the guidelines developed in the future. Method : The analysis objects of this research are 1910 categories of the design guidelines for the domestic housing for the disabled, and the research removed the redundancy and separated multi-complex categories. A total of 1424 independent categories were extracted, and been conducted content analysis from three aspects of redundancy, sub-categorization system and descriptive form based on the extracted categories. Results : Redundancy analysis figured out important characteristics by space. Moreover, the current guideline system can be integrated by analysis of sub-category system. Lastly, the research found that the guidelines need to be understood more easily and suggested under accurate criteria by analyzing the descriptive forms. Implication : This research holds significance as a fundamental data to improve the design guidelines for the disabled in the future, ultimately contributing to a better quality of life of the disabled.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.8
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• pp.315-320
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• 2015

The purposed of this research is to develop multimedia content usage analysis service platform. In the proposed platform, the content gazing behaviors of the users are monitored and profiled in real-time and a set of quantifiable metrics is provided. These metrics are used to determine the closeness of the users' behavior from the intent set by the provider. Based on the evaluation, it is possible to assess the effectiveness of the contents themselves as well. The content usage assessment is accomplished by utilizing the intention flow and the intent weight, which are embedded into the content by the content provider. Proposed methodology can be effectively applied and used in various application domains such as in education and in commercial advertisements.

• Journal of the Korea Society of Computer and Information
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• v.15 no.3
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• pp.45-53
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• 2010

When the user's role is getting more important in contents communicated online, we must know that the cultural trait of content that is reflecting user's mental model, needs and tastes. An attempt to study about cross-cultural characteristics focused on contents of global website give us the best chance to understand user. This paper takes a look if there are any linkages between certain country and its preferable contents and analyze that whether this preference is result from the cultural differences or not. This analysis is based on Hofstede's and Schwartz's framework. So, this content analysis examines cultural influence on the contents of global website in Korea and U.S and Japan and China. The results provide CIC(Cultural Index of Content) which is extended framework adding interaction. We expect that it can help service providers and content creators to have some new ideas.

• International Journal of Computer Science & Network Security
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• v.24 no.2
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• pp.79-88
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• 2024

The use of the social media has become part of our daily life activities. The social web channels provide the content generation facility to its users who can share their views, opinions and experiences towards certain topics. The researchers are using the social media content for various research areas. Sentiment analysis, one of the most active research areas in last decade, is the process to extract reviews, opinions and sentiments of people. Sentiment analysis is applied in diverse sub-areas such as subjectivity analysis, polarity detection, and emotion detection. Stance classification has emerged as a new and interesting research area as it aims to determine whether the content writer is in favor, against or neutral towards the target topic or issue. Stance classification is significant as it has many research applications like rumor stance classifications, stance classification towards public forums, claim stance classification, neural attention stance classification, online debate stance classification, dialogic properties stance classification etc. This research study explores different feature sets such as lexical, sentiment-specific, dialog-based which have been extracted using the standard datasets in the relevant area. Supervised learning approaches of generative algorithms such as Naïve Bayes and discriminative machine learning algorithms such as Support Vector Machine, Naïve Bayes, Decision Tree and k-Nearest Neighbor have been applied and then ensemble-based algorithms like Random Forest and AdaBoost have been applied. The empirical based results have been evaluated using the standard performance measures of Accuracy, Precision, Recall, and F-measures.