• 한국노년학
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• v.31 no.1
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• pp.157-170
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• 2011

The purpose of this article is to examine how the 'bodily culture' of older men who gather at Jongmyo Park serves to express and solidify their sense of a enduring self. The research was carried out based on the anthropological methods of participant observation and in-depth interviews at Jongmyo park and its adjacent areas. In later life, the image of a continuous self becomes harder to achieve due to the ageism prevalent in modern societies. The situation is worse at Jongmyo park since the park itself has been stigmatized as "the extraterritorial zone for the old" by the media due to the boisterous atmosphere of the park. It is dubbed as a place for those who have nowhere else to go. The singing and dancing, which used to be the dominant forms of activities at the park among older men until the 'sanctification' project propelled by the government, serves as an antidote against the ageist tendency to subjugate them. The 'bodily culture' embodies these men's image of themselves as a continuous being which has not been tarnished by the passage of time. The approach of 'body hermeneutics' is required to interpret the experiences of the body in later life.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.360-363
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• 2022

According to the 2018 Kaggle ML & DS Survey, among the proportions of frameworks for machine learning and data science, TensorFlow and Keras each account for 41.82%. It was found to be 34.09%, and in the case of development programming, it is confirmed that about 82% use Python. A significant number of machine learning and deep learning structures utilize the Keras framework and Python, but in the case of Python, distribution and execution are limited to the Python script environment due to the script language, so it is judged that it is difficult to operate in various environments. This paper implemented a machine learning and deep learning system using C# and Keras running in Visual Studio 2019. Using the Mnist dataset, 100 tests were performed in Python 3.8,2 and C# .NET 5.0 environments, and the minimum time for Python was 1.86 seconds, the maximum time was 2.38 seconds, and the average time was 1.98 seconds. Time 1.78 seconds, maximum time 2.11 seconds, average time 1.85 seconds, total time 37.02 seconds. As a result of the experiment, the performance of C# improved by about 6% compared to Python, and it is expected that the utilization will be high because executable files can be extracted.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.779-785
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• 2023

In the creation of non-verbal dance performance, stage costumes are an important element of visual expression and serve an expanded role in addition to its fundamental decorativeness, representation of status reflective of the historical setting of the act and functionality for the dance movement. We intends that the purpose of this research is to analyze the expanded role of the costumes in the creative ballet <'That' Girl>, and through this exercise, provide foundational data on and suggest new future directions for stage costume design. <'That' Girl> is composed of two acts, offering condolences and eliciting empathy by conveying the fear experienced by the victims of the time. The second dance act representing freedom and "Haan" requires this expanded application of costume design. The costume design was inspired by the "Statue of Peace" representing comfort women, and completed through three draft designs and material experiments testing the ease of operation of the strings and fabrics installed in the costumes as well as the functionality of the associated ballet movements. In conclusion, expansion of time & space, expansion of form and expansion of symbolic expression were shown in the dance of liberation using strings wrapped around the arms and through the cloth embodying 'Haan' hidden in front of the costume.

• Journal of The Korean Association For Science Education
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• v.29 no.5
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• pp.564-579
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• 2009

The purpose of this study was to examine the change in the classes of the beginning science teachers through a cooperative mentoring program that induces the practice of reflective thinking. Participants in this study included three mentor-teachers, two teachers in doctorate or masters courses, one university professor, and three mentee-teachers who had less than four years of teaching experience. We collected data such as video recordings of mentee-teachers' classes and transcription, lesson plans, recording of one-on-one mentoring and transcription, mentor's and mentee's journals, and RTOP class observation reports. RTOP was used for the class analysis, and the cognition and changes in mentee-teachers' classes were determined from their journal entries and one-on-one mentoring interview materials. According to mentee-teachers' recognition of changes in their classes during the mentoring program, they themselves recognized their teacher-centered teaching styles, misconception, and lack of content knowledge. Furthermore, there were changes in the mentee-teachers' classes through their reflective practice and improvement. Based on the result of this study, however, the teachers' reflection was not all accompanied with reflective practice even if the beginner science teachers made some partial changes in reflective practice by reflection. This means that it is hard to instill a reflective practice in mentee-teachers through mentoring in a short period. Therefore, we consider that more systematic and long-term mentoring is necessary for beginner science teachers.

• Journal of The Korean Association For Science Education
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• v.26 no.2
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• pp.212-221
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• 2006

The purposes of this study were to examine the characteristics of teacher help in small group Thinking Science(TS) activities and analyze the way students respond to teacher help. For this study, twenty-four 5th grade and twenty-four 7th grade students were selected, to undertake TS activities. Out of the 8 activities students participated in, the verbal interactions in activity 4 and 6, by students in four small groups, which incorporated relatively active argumentation was analyzed. Students' cognitive level was identified through a science reasoning task and the students were grouped heterogeneously according to their cognitive level. This study showed that teachers predominately used simple confirmation questions in preference to metacognitive question. Also, teacher help varied according to one's personal traits, work experience and degree of activity recognition. It was discovered that when the teacher provided student appropriate metacognitive questions and sufficient feedback, students actively engaged in argumentation. On the other hand, when the teacher asked simple confirmation questions and interfered in the activity, students did not participate in argumentation actively.

• Korean Journal of Culture and Social Issue
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• v.30 no.2
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• pp.121-157
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• 2024

This study explored the essence of psychological burnout experiences due to emotional contagion using a hermeneutic phenomenological approach. In-depth interviews were conducted on 9 participants who work in fields that are subject to emotional contagion. Data analysis was conducted by using van Manen's methodology, insisting that the pure description of an experience can be enriched by adding interpretation. The emotional contagion experiences were identified through this process and the findings were categorized into 3 core themes, 8 essential themes, and 35 subthemes. The first core theme is "emotions in constant exchange". This theme included two essential themes: 'various channels of emotional contagion' and 'subjective states that change depending on the transmitted emotions'. The second core theme, "filtering the experience of emotional contagion" included the essential themes of 'the characteristics susceptible to the emotions of others', 'attitudes of spreading negative emotions' and 'situations that makes one feel overwhelmed by emotions'. The final core theme, "from burnout by emotional contagion to communication" was categorized into the following essential themes: 'burnout-inducing entangled interactions', 'moving toward communication and connection' and 'recovery after psychological burnout'. Finally, the implications and suggestions for future research were discussed by summarizing the core contents of each themes.

• Phonetics and Speech Sciences
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• v.16 no.2
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• pp.83-90
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• 2024

This study aimed to explore phonological retrieval and phonological memory skills in second to third graders with dyslexia, poor comprehension, and typical development. The participants included 17 children with dyslexia, 17 children with poor comprehension, and 24 typically developing children. Children with dyslexia scored below 85 on the word decoding test, poor comprehender scored above 90 on the word decoding, and below 85 on the reading comprehension test and typical children scored above 90 on both reading tests. All participants were assessed on rapid automatized naming (RAN) and nonword repetition (NWR). The result indicated that children with dyslexia performed significantly worse on RAN and NWR tasks than other groups. However, there was significant differences between poor comprehender and typically developing children. Furthermore, only RAN were significantly correlated with word decoding and reading comprehension in children with dyslexia. For typically developing children, RAN was correlated with word decoding and reading comprehension, while NWR had a significant correlation with reading comprehension. No correlations were found between these variables for poor comprehender. The finding suggests that children with dyslexia showed difficulties on phonological retrieval and phonological memory, which are essential for reading development while poor comprehender do not have difficulties with phonological processing skills. Phonological processing deficits may underlie word decoding difficulties in dyslexia.

• The Journal of Korean Academy of Prosthodontics
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• v.62 no.3
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• pp.183-192
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• 2024

Purpose. This study aimed to evaluate the reliability and information quality of YouTube videos on implant overdenture searched in two languages (Korean and English). Materials and methods. Youtube, an online video sharing platform was searched using search terms in two different languages related to implant overdenture. A total of 120 videos were selected (60 videos for each search term), then the reliability and information quality of the videos were evaluated. Topic domain, DISCERN instrument, and JAMA benchmark were used to evaluate the reliability and information quality of the videos. Statistical analyses were performed by using the Mann-Whitney U test and Kruskal-Wallis test. Results. Out of a total of 120 videos, the topic domain scores of 78 (65.0%) videos were evaluated as 'poor', and the DISCERN scores of 104.5 (87.1%) videos were evaluated as 'very poor' and 'poor'. The Korean videos had significantly higher topic domain scores and DISCERN scores than the English videos (P < .05). 3.5 Korean videos and 4 English videos met the criteria for attribution of JAMA benchmark. Conclusion. The reliability and information quality of YouTube videos on implant overdenture were low.

• Journal of the Daesoon Academy of Sciences
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• v.49
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• pp.157-186
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• 2024

This study aims to understand the symbolic meanings of dragons in the contemporary period through the painting featuring poetry based on the Hwaryong (paintings of dragons) and to analyze the literary representations and characteristics of dragons. First, the shape and aura of the dragon in the paintings should be confirmed. In dragon Painting Poetry (Paintings Featuring Poetry), the shape of the dragon is embodied in the aura of 'spirit.' However, people in previous eras customarily believed that dragons were real. In addition, the main spirit of the Hwaryong was in the representation of the dragon's aura, or "Jeonsin (transmission of spirit)," such as the creature's dragonly virtue or Heavenly Perfection. Next, the rhetorical representation of the dragon in the painting is to be examined. In the actual Painting Poetry, dragon images were relatively common in descriptions of pines, bamboo, and plum trees. The pine-bamboo-plum motif is known as Sehan Samwu (the three friends of the cold season), and since the Northern Song Dynasty, it has become a symbol of literary incision. Manifested as a dragon, the pine-bamboo-plum motif has a common denominator of winding branches, tangled stems, and bluish jade coloration, and like the dragon, it is used as a backdrop for weather phenomena such as rain, wind, and lightning. In the schematic that connects the Hwaryong, dragon Painting Poetry, the original meaning of the dragon is transformed into shapes and language. This is the meaning conveyed by the dragon, and this symbolic meaning was shared among the writers of the period who viewed the poems and paintings.

• Journal of Intelligence and Information Systems
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• v.21 no.2
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• pp.69-92
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• 2015

The explosion of social media data has led to apply text-mining techniques to analyze big social media data in a more rigorous manner. Even if social media text analysis algorithms were improved, previous approaches to social media text analysis have some limitations. In the field of sentiment analysis of social media written in Korean, there are two typical approaches. One is the linguistic approach using machine learning, which is the most common approach. Some studies have been conducted by adding grammatical factors to feature sets for training classification model. The other approach adopts the semantic analysis method to sentiment analysis, but this approach is mainly applied to English texts. To overcome these limitations, this study applies the Word2Vec algorithm which is an extension of the neural network algorithms to deal with more extensive semantic features that were underestimated in existing sentiment analysis. The result from adopting the Word2Vec algorithm is compared to the result from co-occurrence analysis to identify the difference between two approaches. The results show that the distribution related word extracted by Word2Vec algorithm in that the words represent some emotion about the keyword used are three times more than extracted by co-occurrence analysis. The reason of the difference between two results comes from Word2Vec's semantic features vectorization. Therefore, it is possible to say that Word2Vec algorithm is able to catch the hidden related words which have not been found in traditional analysis. In addition, Part Of Speech (POS) tagging for Korean is used to detect adjective as "emotional word" in Korean. In addition, the emotion words extracted from the text are converted into word vector by the Word2Vec algorithm to find related words. Among these related words, noun words are selected because each word of them would have causal relationship with "emotional word" in the sentence. The process of extracting these trigger factor of emotional word is named "Emotion Trigger" in this study. As a case study, the datasets used in the study are collected by searching using three keywords: professor, prosecutor, and doctor in that these keywords contain rich public emotion and opinion. Advanced data collecting was conducted to select secondary keywords for data gathering. The secondary keywords for each keyword used to gather the data to be used in actual analysis are followed: Professor (sexual assault, misappropriation of research money, recruitment irregularities, polifessor), Doctor (Shin hae-chul sky hospital, drinking and plastic surgery, rebate) Prosecutor (lewd behavior, sponsor). The size of the text data is about to 100,000(Professor: 25720, Doctor: 35110, Prosecutor: 43225) and the data are gathered from news, blog, and twitter to reflect various level of public emotion into text data analysis. As a visualization method, Gephi (http://gephi.github.io) was used and every program used in text processing and analysis are java coding. The contributions of this study are as follows: First, different approaches for sentiment analysis are integrated to overcome the limitations of existing approaches. Secondly, finding Emotion Trigger can detect the hidden connections to public emotion which existing method cannot detect. Finally, the approach used in this study could be generalized regardless of types of text data. The limitation of this study is that it is hard to say the word extracted by Emotion Trigger processing has significantly causal relationship with emotional word in a sentence. The future study will be conducted to clarify the causal relationship between emotional words and the words extracted by Emotion Trigger by comparing with the relationships manually tagged. Furthermore, the text data used in Emotion Trigger are twitter, so the data have a number of distinct features which we did not deal with in this study. These features will be considered in further study.