• 제목/요약/키워드: First Papers

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A reflection on the education of Confucian classics (유교경전교육(儒敎經典敎育)을 위한 반성적(反省的) 고찰(考察))

  • Chin, Sung-Su
    • The Journal of Korean Philosophical History
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    • no.25
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    • pp.223-249
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    • 2009
  • This papers focuses on the Confucian classics for the correct orientation of education as a basic task of the Confucian classics will as a necessary whether the need for education, to identify the natural history study will attempt to have. In East Asia means that classics, the classicalization process of looking at Chinese culture, classicalization of review of the cultural meaning. And this papers focuses on the historical evolution of education, and education in China and Korea in the modern world the meaning of the Confucian classics education about and looked at two dilemmas. And outside the scope of Confucian five ethical thoughts as main moral to find new values and new interpretations about the legitimacy and philosophical thinking of the meaning of the Confucian classics Education. In addition, the development of educational content to the new Confucian classics on the subject of three applies to the existing approach and to propose a new type of comparison?Review. As primitive Confucian classics is not determined by a priori, the modern understanding of the Confucian classics also thorough review process of reflection and understanding the new system will have to be reconfigured. Furthermore, in the richness of modern society as the training methods as well as the development of relevant content for the modern society that values education's development is a very important issue. In this respect, should not be overlooked here is not about education, the effect of Confucian classics is concerned about the review. To this, first of all the Confucian classics need education about the content and strict screening operation. In addition, the ability to function in modern society, modern reinterpreted and the need to find a new educational element is. Because we did not give a realistic benefits and future view and any history or civilization, is always disappear in history. This series of problems will be a reason of require that philosophical thinking of Confucian classics education.

International Research Trends Related to Inquiry in Science Education: Perception and Perspective on Inquiry, Support and Strategy for Inquiry, and Teacher Professional Development for Inquiry (과학교육에서 탐구 관련 국외 연구 동향 -탐구의 인식과 관점, 전략과 지원, 교사 전문성의 관점에서-)

  • Yu, Eun-Jeong;Byun, Taejin;Baek, Jongho;Shim, Hyeon-Pyo;Ryu, Kumbok;Lee, Dongwon
    • Journal of The Korean Association For Science Education
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    • v.41 no.1
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    • pp.33-46
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    • 2021
  • Inquiry occupies an important place in science education, and research related to inquiry is widely conducted. However, due to the inclusiveness of the concept of "exploration," each researcher perceives its meaning differently, and approaches may vary. In addition, criticisms have been raised that the results of classes using inquiry in science education do not guarantee meaningful changes to students. Therefore, this study attempts to identify the trend of SSCI-level research papers dealing with inquiry in science education over the past three years to confirm the current status and effectiveness of the inquiry. Researches used in the analysis are International Journal of Science Education, Journal of Research in Science Teaching, Research in Science Education, and Science Education, and limited to those that directly suggest "inquiry (enquiry)" as a keyword. Based on extracted 75 papers, the classification process was conducted, and an analysis frame was derived inductively by reflecting the subject and characteristics. Specific cases for each category were presented by dividing into three aspects: perception and perspective on inquiry, support and strategy for inquiry, and teacher professional development for inquiry. The results of examining the implications for scientific inquiry are as follows: First, rather than defining inquiry as an implicit proposition or presenting it as a step-by-step procedure, it was induced to grasp the meaning of inquiry more comprehensively and holistically. Second, as to whether the inquiry-based instruction is effective in all aspects of the cognitive, functional, and affective domains of science, the limitations are clearly presented, and the context-dependent and subject-specific properties and limitations of inquiry are emphasized. Third, uncertainty in science inquiry-based instruction can help learners to begin their inquiry and develop interest, but in the process of recognizing data and restructuring knowledge, explicit and specific guidance and scaffolding should be provided at an appropriate timing.

3D Point Cloud Reconstruction Technique from 2D Image Using Efficient Feature Map Extraction Network (효율적인 feature map 추출 네트워크를 이용한 2D 이미지에서의 3D 포인트 클라우드 재구축 기법)

  • Kim, Jeong-Yoon;Lee, Seung-Ho
    • Journal of IKEEE
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    • v.26 no.3
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    • pp.408-415
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    • 2022
  • In this paper, we propose a 3D point cloud reconstruction technique from 2D images using efficient feature map extraction network. The originality of the method proposed in this paper is as follows. First, we use a new feature map extraction network that is about 27% efficient than existing techniques in terms of memory. The proposed network does not reduce the size to the middle of the deep learning network, so important information required for 3D point cloud reconstruction is not lost. We solved the memory increase problem caused by the non-reduced image size by reducing the number of channels and by efficiently configuring the deep learning network to be shallow. Second, by preserving the high-resolution features of the 2D image, the accuracy can be further improved than that of the conventional technique. The feature map extracted from the non-reduced image contains more detailed information than the existing method, which can further improve the reconstruction accuracy of the 3D point cloud. Third, we use a divergence loss that does not require shooting information. The fact that not only the 2D image but also the shooting angle is required for learning, the dataset must contain detailed information and it is a disadvantage that makes it difficult to construct the dataset. In this paper, the accuracy of the reconstruction of the 3D point cloud can be increased by increasing the diversity of information through randomness without additional shooting information. In order to objectively evaluate the performance of the proposed method, using the ShapeNet dataset and using the same method as in the comparative papers, the CD value of the method proposed in this paper is 5.87, the EMD value is 5.81, and the FLOPs value is 2.9G. It was calculated. On the other hand, the lower the CD and EMD values, the better the accuracy of the reconstructed 3D point cloud approaches the original. In addition, the lower the number of FLOPs, the less memory is required for the deep learning network. Therefore, the CD, EMD, and FLOPs performance evaluation results of the proposed method showed about 27% improvement in memory and 6.3% in terms of accuracy compared to the methods in other papers, demonstrating objective performance.

Trend Analysis of Barrier-free Academic Research using Text Mining and CONCOR (텍스트 마이닝과 CONCOR을 활용한 배리어 프리 학술연구 동향 분석)

  • Jeong-Ki Lee;Ki-Hyok Youn
    • Journal of Internet of Things and Convergence
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    • v.9 no.2
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    • pp.19-31
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    • 2023
  • The importance of barrier free is being highlighted worldwide. This study attempted to identify barrier-free research trends using text mining. Through this, it was intended to help with research and policies to create a barrier free environment. The analysis data is 227 papers published in domestic academic journals from 1996 when barrier free research began to 2022. The researcher converted the title, keywords, and abstract of an academic thesis into text, and then analyzed the pattern of the thesis and the meaning of the data. The summary of the research results is as follows. First, barrier-free research began to increase after 2009, with an annual average of 17.1 papers being published. This is related to the implementation guidelines for the barrier-free certification system that took effect on July 15, 2008. Second, results of barrier-free text mining i) As a result of word frequency analysis of top keywords, important keywords such as barrier free, disabled, design, universal design, access, elderly, certification, improvement, evaluation, and space, facility, and environment were searched. ii) As a result of TD-IDF analysis, the main keywords were universal design, design, certification, house, access, elderly, installation, disabled, park, evaluation, architecture, and space. iii) As a result of N-Ggam analysis, barrier free+certification, barrier free+design, barrier free+barrier free, elderly+disabled, disabled+elderly, disabled+convenience facilities, the disabled+the elderly, society+the elderly, convenience facilities+installation, certification+evaluation index, physical+environment, life+quality, etc. appeared in a related language. Third, as a result of the CONCOR analysis, cluster 1 was barrier-free issues and challenges, cluster 2 was universal design and space utilization, cluster 3 was Improving Accessibility for the Disabled, and cluster 4 was barrier free certification and evaluation. Based on the analysis results, this study presented policy implications for vitalizing barrier-free research and establishing a desirable barrier free environment.

Semantic Visualization of Dynamic Topic Modeling (다이내믹 토픽 모델링의 의미적 시각화 방법론)

  • Yeon, Jinwook;Boo, Hyunkyung;Kim, Namgyu
    • Journal of Intelligence and Information Systems
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    • v.28 no.1
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    • pp.131-154
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    • 2022
  • Recently, researches on unstructured data analysis have been actively conducted with the development of information and communication technology. In particular, topic modeling is a representative technique for discovering core topics from massive text data. In the early stages of topic modeling, most studies focused only on topic discovery. As the topic modeling field matured, studies on the change of the topic according to the change of time began to be carried out. Accordingly, interest in dynamic topic modeling that handle changes in keywords constituting the topic is also increasing. Dynamic topic modeling identifies major topics from the data of the initial period and manages the change and flow of topics in a way that utilizes topic information of the previous period to derive further topics in subsequent periods. However, it is very difficult to understand and interpret the results of dynamic topic modeling. The results of traditional dynamic topic modeling simply reveal changes in keywords and their rankings. However, this information is insufficient to represent how the meaning of the topic has changed. Therefore, in this study, we propose a method to visualize topics by period by reflecting the meaning of keywords in each topic. In addition, we propose a method that can intuitively interpret changes in topics and relationships between or among topics. The detailed method of visualizing topics by period is as follows. In the first step, dynamic topic modeling is implemented to derive the top keywords of each period and their weight from text data. In the second step, we derive vectors of top keywords of each topic from the pre-trained word embedding model. Then, we perform dimension reduction for the extracted vectors. Then, we formulate a semantic vector of each topic by calculating weight sum of keywords in each vector using topic weight of each keyword. In the third step, we visualize the semantic vector of each topic using matplotlib, and analyze the relationship between or among the topics based on the visualized result. The change of topic can be interpreted in the following manners. From the result of dynamic topic modeling, we identify rising top 5 keywords and descending top 5 keywords for each period to show the change of the topic. Existing many topic visualization studies usually visualize keywords of each topic, but our approach proposed in this study differs from previous studies in that it attempts to visualize each topic itself. To evaluate the practical applicability of the proposed methodology, we performed an experiment on 1,847 abstracts of artificial intelligence-related papers. The experiment was performed by dividing abstracts of artificial intelligence-related papers into three periods (2016-2017, 2018-2019, 2020-2021). We selected seven topics based on the consistency score, and utilized the pre-trained word embedding model of Word2vec trained with 'Wikipedia', an Internet encyclopedia. Based on the proposed methodology, we generated a semantic vector for each topic. Through this, by reflecting the meaning of keywords, we visualized and interpreted the themes by period. Through these experiments, we confirmed that the rising and descending of the topic weight of a keyword can be usefully used to interpret the semantic change of the corresponding topic and to grasp the relationship among topics. In this study, to overcome the limitations of dynamic topic modeling results, we used word embedding and dimension reduction techniques to visualize topics by era. The results of this study are meaningful in that they broadened the scope of topic understanding through the visualization of dynamic topic modeling results. In addition, the academic contribution can be acknowledged in that it laid the foundation for follow-up studies using various word embeddings and dimensionality reduction techniques to improve the performance of the proposed methodology.

Interior Settings of a Chamber and a Temporary Place of Enshrinement at Yeonghuijeon and Features of the Five Peak Screens for the Hall (영희전 감실 및 이안소의 공간 구성과 오봉산병풍의 특징)

  • SON Myenghee
    • Korean Journal of Heritage: History & Science
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    • v.56 no.2
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    • pp.100-121
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    • 2023
  • This paper examines the interior settings of a chamber and of a temporary place of enshrinement at Yeonghuijeon (永禧殿, Hall of Eternal Happiness), the representative official portrait hall in which portraits of early and late Joseon kings were enshrined. Also, it discusses the features of the Five Peak screens used therein. The physical environment of a chamber at Yeonghuijeon mainly consisted of a four-panel folding screen with a painting of Five Peaks and a large wooden platform, which was adorned with dragon and lion patterns and attached to lotus-leaf column balustrades. The Five Peak screen was installed on a large platform in the shape of ⊓, spreading across the second and third panels on the back and folding out on the first and fourth panels on the right and left sides. When a portrait was enshrined in a temporary place, a simpler and smaller platform with railings was used. A four-panel folding screen of the Five Peak painting was installed in the same way as in a chamber, but was unfolded around a smaller platform behind it. A royal portrait was displayed in each chamber, whereas a case in which a portrait was rolled up was put on the smaller platform in a temporary place. The Five Peak screens for a chamber and a temporary place were all large four-panel folding screens with two wide panels in the middle and two narrow panels on each side, and only strips of silk were mounted on the four edges of the screens without additional wide lower-side mountings. While screens for the chamber used patterned silk for mounting and white paper for backing on screen frames, screens for the temporary place used plain silk and recycled failed test papers for mounting and backing, respectively. By examining records in the literature on the Five Peak screens for Yeonghuijeon, this paper highlights two Five Peak screens, both of which lost their provenance from the hall. The structures of the two screens reflected the way they were to be installed at the hall. Furthermore, this paper assumes that a Five Peak screen, which had been unfolded on the throne in the main hall of Changdeokgung Palace after the 1960s, was produced in 1858 for the purpose of temporarily enshrining King Sunjo's portrait due to the fact that failed test papers of the 1840s were laid taut over the frame.

Exploration of the Knowledge Structure in the Field of Home Economics Education Using Social Network Analysis (SNA): Focusing on the Papers Published in the Journal of Home Economics Education Research (소셜 네트워크 분석(SNA)을 활용한 가정교육학의 지식구조 탐색: 한국가정과교육학회지에 게재된 논문을 중심으로)

  • Park, Mi Jeong;Yu, Nan Sook
    • Journal of Korean Home Economics Education Association
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    • v.36 no.2
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    • pp.65-88
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    • 2024
  • This study aims to explore the knowledge structure of the field of home economics education. To achieve this, the knowledge network of the field of home economics education was analyzed using social network analysis on 758 articles published between 2004 and 2023, focusing on those in the Journal of Home Economics Education Research. The main findings of the study are as follows: First, the knowledge network exhibited characteristics of a small-world network. Papers on children, family, and career maturity significantly influenced the knowledge structure. Second, the knowledge structure is centered around the home economics subject and curriculum and is organized into four groups. A temporal analysis revealed that the influence of core keywords such as perception, content, unit, home economics teachers, practice, behavior, and influence has decreased, while the influence of curriculum, textbook, and development has shown a trend of increasing. Third, the sub-knowledge structures were identified as seven categories. The study found that the influence of 'perception and demand for home economics education' is decreasing, whereas the influence of 'home economics curriculum and textbooks' and 'application of home economics teaching and learning process' is increasing. Additionally, 'adolescent self-esteem and family relationships' and 'home economics curriculum and textbooks' were found to be the most influential in the knowledge structure of home economics education. This research is significant as it demonstrates the temporal changes in the core keywords and sub-structures of the knowledge structure within the field, thereby providing a foundation for understanding and expanding the research knowledge structure in the field of home economics education.

Aesthetic Characteristics of Hanae Mori's Apparel (하나에 모리(Hanae Mori) 의상에 나타난 미적 특성)

  • Choi, Young-Ok
    • Fashion & Textile Research Journal
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    • v.9 no.6
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    • pp.613-625
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    • 2007
  • Globalizing the Japanese fashion successfully, Hanae Mori's work awoke the western fashion world's nostalgia towards the East. Analyzing the aesthetic characteristics of Hanae Mori's clothes what kinds of aesthetic characteristic that her work had and what kinds of influences that she made in the modern fashion would provide substantial contribution of the world's modern fashion. This study provided forms and remarkable features of Japanese traditional custom, revealed Hanae Mori's life and her philosophies of fashion, and defined Hanae Mori's aesthetic characteristics by analyzing her work from 1970's until the retirement, July 2004. Methods of this study are completed by documentary records of Hanae Mori, research papers and fashion magazines that are published domestically and internationally, and collected materials from internet. The results of analysis are epitomized as below. Hanae Mori was the first Japanese fashion designer who expressed the characteristics of traditional Japanese custom with modernity sprit. In the 60's and 70's, especially in the U.S. and European fashion market, she inspired western fashion designers by her original sprit of art: combining Japanese tradition which showed distinctive color and spirit of nature and the western beauty. Hanae Mori created new dress molding from the Kimono's unstructured feature. Her layered look dressing, oblique adjustment and Obi, and others all enabled Mori to express Japanese image into modern fashion. Additionally, in terms of traditional Japanese image being acknowledged world-widely, she played a major contribution in world fashion by suggesting a new vision and raised several sensations in fashion artistry and modeling. Amongst her various patterns, Hanae Mori had butterfly patterns in most of her works, which was her representative symbol. This spoke for her strong will and senses of duty that wanting to inform beauty of Japanese women who were reflected in modern and graceful butterfly patterns. Flowers were another element that symbolized Mori. Using various flower motifs that bloomed in every different four seasons, she connected two images into her fashion; beauty of the nature and enlightening image of vibrating life. The aesthetic characteristics of Hanae Mori's clothes were defined as five: Japonism, naturalism, feminism, eroticism, and modernism. Japonism which is the spirit of Japanese, Mori used the concept to connect the East and the West. Naturalism represented harmony of the nature and the human. Feminism highlighted Eastern women's beauty. Eroticism emitted feminine attraction. Modernism represented simplicity and sophistication. Such aesthetic character illustrated Mori's original emotion that was based on Japanese spirit and she combined it with values of the East and the West. From the analysis of Mori's aesthetic characteristics, it is clearly recognizable her feministic beauty is emanated by her original emotion and sensibility.

The Effect of Conflict Resolution Program on Children's Psychological Well-being, Empathy, and Aggression (갈등해결 프로그램이 초등학생의 심리적 안녕감, 공감 및 공격성에 미치는 효과)

  • Jeong, Jong-Jin;Kim, Me-Kyoung
    • The Korean Journal of Elementary Counseling
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    • v.11 no.2
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    • pp.133-151
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    • 2012
  • The purpose of this study was to examine the effects of the conflict resolution program on children's psychological well-being, empathy, and aggression. The subjects of this study were 2 classes from fourth grade D elementary school in Daegu. One class(31 students) was placed in an experimental group and the other class(32 students) was placed in a control group. The research design of this study is based on a pre-test and a post-test between the both groups. With the test data, the students feedbacks were collected to identify the subject's responds to the program. Item data were analyzed by repeated measures MANOVA(two-factor mixed design). The quantitative results of this study were as follows: First, compared to the control group, the experimental group that participated in the conflict resolution program showed a significant improvement in psychological well-being. Second, compared to the control group, the experimental group that participated in the conflict resolution program showed a significant improvement in empathy. compared to the control group, the experimental group that participated in the conflict resolution program showed a significant decrease in aggression. These results were supported and intensified by qualitative data based on comment papers and questionnaire. In conclusion, the conflict resolution program can be an effective tool for the improvement of psychological well-being and empathy, and the decrease of aggression.

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A Study on the Selection Factors of Contents Service for the Popularization of AI Speaker based on AHP (AI Speaker 대중화를 위한 콘텐츠 서비스 선택 요인에 관한 연구 - AHP(계층화 분석)를 중심으로)

  • Lee, Hweejae;Kim, Sunmoo;Byun, Hyung Gyoun
    • The Journal of the Korea Contents Association
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    • v.20 no.11
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    • pp.38-48
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    • 2020
  • The domestic AI speaker market is growing into a full-fledged early audience market beyond the innovative consumer market with 3 million domestic supply units at the end of 2018, but the reality is that for various reasons, we are not satisfied with the use. There are many previous papers on AI Speaker, but the majority of research so far tends to be biased towards the acceptance of the device's own performance. Many changes are being made, such as OTT providers trying to secure the market through collaboration with AI speaker providers. This study tried to identify the priorities for content services, which can be another major selection factor for AI speakers, excluding the factors of unsatisfactory technology. First, this study identified the priorities among AI speaker selection factors using AHP (Analytic Hierarchy Process), based on the AI speaker selection factors derived through literature research. The most important hierarchical factor are Concierge Service, Education Service, and Entertainment Service order in AI speaker selection, and the primary content among the individual factors was the one that ranked weather/temperature/fine dust (11.6%) and child caring content was in the second place (10.8%), and then music service was in the third place (9.8%). The three top priorities were derived from the items in the top tier 1, 2 and 3 priorities. Of the total 15 individual services, 6 sub-layers of Concierge Service (weather/temperature/fine dust, news, voice schedule notification) and Education Service (foreign language, toddler, reading books) were in the top 8, and two of the Entertainment Service Music service and movie service ranked third and sixth.