• Journal of Korean Home Economics Education Association
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• v.4 no.1
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• pp.87-95
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• 1992

The purpose of this study is to suggest how we can get over the difficulties of practical drill under experimentation concerning the units of making clothes in the curriculum of home economics. The import of this study was based on the results of the preceding studies the field of the making Korean clothes, from the standpoint of the teaching tools and teaching materials by the use of VTR, is one of the most insufficient. On the one hand, the teaching procedure here a VTR, running 34 minutes or so, was made up with the process of making Korean men’s slacks, and was led by the researcher’s own. The contents of the lesson are as follows： the shape of Korean clothes, the name of each part, the process of drawing, cutting and sewing, and the items of evaluation and arrangement. On the other hand, the two comparative groups were made to compare one with the other： One group was taught by help of VTR media, and the other by the model performance and explanation of the instructor’s own. All of the statistical data were analyzed in terms of SPSS/PC, and t-verification was made, to make difference between the two, after standard deviation was calculated according to the classified domains. The consequences of the test research are shown as below： 1. The difference of understanding was obviously made in considering that the group made a better score than the comparative one in understanding to process of making Korean clothes. 2. The difference of skill was highly made in considering that the group made a better score than the comparative one in the practical drill of making Korean clothes. 3. The difference of interests was evidentally made in considering that the group made a better score than the comparative one in the stage of making Koran clothes. Such means that the motivation and attitude of the learners was made stimulate by the Audio-Visual material than by the traditional cramming method. 4. The difference of frequency was fairly made in considering that the experimeatal group made a better score than the comparative one in the frequency of individual teaching. 5. The difference of the efficiency of time-consumption was clearly made in considering that the experimental group made a better score than the comparative one. As the results of the research above, the medium of VTR proved to more effective to the achievement of schoolwork and the strategies of teaching. Therefore, more use of VTR media will help the instructors with the difficulties of practical drill in the whole process of making Korean clothes； Widely use of VTR media in teaching will be surely more fruitfull to the unit of making Korean clothes than teaching by explanation.

• Journal of Korean Home Economics Education Association
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• v.33 no.4
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• pp.1-13
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• 2021

The purpose of this study is to identify trends and potential themes of research on consumption of children and adolescents for 20 years by analyzing keywords. The keywords of 869 studies on consumption of children and adolescents published in journals listed in Korean Citation Index were analyzed using text mining techniques. The most frequent keywords were found in the order of youth, youth consumers, consumer education, conspicuous consumption, consumption behavior, and character. As a result of analyzing the frequency of keywords by dividing into five-year periods, it was confirmed that the frequency of consumer education was significantly higher betwn 2006 and 2010. Research on ethical consumption has been active since 2011, and research has been conducted on various topics instead of without a prominent keyword during the most recent 5-year period. Looking at the keywords based on the TF-IDF, the keywords related to the environment and the Internet were the main keywords between 2001 and 2005. From 2006 to 2010, the TF-IDF values of media use, advertisement education, and Internet items were high. From 2011 to 2015, fair trade, green growth, green consumption, North Korean defector youths, social media, and from 2016 to 2020, text mining, sustainable development education, maker education, and the 2015 revised curriculum appeared as important themes. As a result of topic modeling, eight topics were derived: consumer education, mass media/peer culture, rational consumption, Hallyu/cultural industry, consumer competency, economic education, teaching and learning method, and eco-friendly/ethical consumption. As a result of network analysis, it was found that conspicuous consumption and consumer education are important topics in consumption research of children and adolescents.

• Journal of Broadcast Engineering
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• v.25 no.2
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• pp.166-175
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• 2020

Recently, application fields for processing and using digital image contents in various forms and types are rapidly increasing. Since image content is high value-added content, the intellectual property rights of this content must be protected in order to activate the production and use of the digital image content. In this paper, we propose a deep learning based watermark embedding and extraction network. The proposed method is to maximize the robustness of the watermark against malicious/non-malicious attacks while preserving the invisibility of the host image. This network consists of a preprocessing network that changes the watermark to have the same resolution as the host image, a watermark embedding network that embeds watermark data while maintaining the resolution of the host image by three-dimensionally concatenating the changed host image and the watermark information, and a watermark extraction network that reduces the resolution and extracts watermarks. This network verifies the invisibility and robustness of the proposed method by experimenting with various pixel value change attacks and geometric attacks against various watermark data and host images with various resolutions, and shows that this method is universal and practical.

• Journal of Broadcast Engineering
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• v.27 no.3
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• pp.318-331
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• 2022

With the recent development of hardware computing devices and software based frameworks, machine tasks using deep learning networks are expected to be utilized in various industrial fields and personal IoT devices. However, in order to overcome the limitations of high cost device for utilizing the deep learning network and that the user may not receive the results requested when only the machine task results are transmitted from the server, Collaborative Intelligence (CI) proposed the transmission of feature maps as a solution. In this paper, an efficient compression method for feature maps with vast data sizes to support the CI paradigm was analyzed and presented through experiments. This method increases redundancy by applying feature map reordering to improve compression efficiency in traditional video codecs, and proposes a feature map method that improves compression efficiency and maintains the performance of machine tasks by simultaneously utilizing image compression format and video compression format. As a result of the experiment, the proposed method shows 14.29% gain in BD-rate of BPP and mAP compared to the feature compression anchor of MPEG-VCM.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.4
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• pp.593-601
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• 2017

In this paper, we constructed the model of production/investment, distribution, and screening by using variables that can be considered at each stage according to the value chain stage of the movie industry. To increase the predictive power of the model, a regression analysis was used to derive meaningful variables. Based on the given variables, we compared the difference in predictive power between the artificial neural network, which is a machine learning analysis method, and the decision tree analysis method. As a result, the accuracy of artificial neural network was higher than that of decision trees when all variables were added in production/ investment model and distribution model. However, decision trees were more accurate when selected variables were applied according to regression analysis results. In the screening model, the accuracy of the artificial neural network was higher than the accuracy of the decision tree regardless of whether the regression analysis result was reflected or not. This paper has an implication which we tried to improve the performance of movie prediction model by using machine learning analysis. In addition, we tried to overcome a limitation of linear approach by reflecting the results of regression analysis to ANN and decision tree model.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.5
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• pp.117-132
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• 2022

Human Human species run into a blind alley due to abnormal weather and climates everywhere in global village. Human beings are helpless against the nature and might begin to learn humbleness just now. However, humans cannot attribute current abnormal weather and climates to only natural phenomenon because we have never been affectionate to global environments sufficiently up to now that results in running into this blind alley. At this point, the only thing that humans can do is to love and care for the earth more. ESG is an emerging topic to cope with this issue and practice of ESG will be the pending mission for the next generation. In this research, 'active participatory learning program for ESG practice' is designed by 'connecting ESG with Entrepreneurship' through over 20 years of experienced current teachers in elementary and junior·senior high school, professors in university and field experts in education. Analysis of learning effectiveness before and after the implementation of education program showed meaningful result in elementary and junior·senior high school. Thus, I would like to suggest a proposal based on concerns about 'What should we do to overcome the global crisis?" by paying attention to ESG from elementary school.

• The Journal of Korean Association of Computer Education
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• v.20 no.1
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• pp.39-47
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• 2017

The purpose of this study is to analyze research trends and the learners' preference for subject area of SW education content. First, we analyzed trends in the subject areas of various SW education contents in recent research literature, textbooks, and textbooks. Based on this, we defined six subject areas as storytelling, game, media art, educational learning contents, simulation. Also, we analyzed the case of college students based on the reason of SW implementation theme selection, selection method, and preference theme. As a result, the students were mainly influenced by their interests and teachers in the reason of topic selection, and they showed higher preference in game and storytelling subject area. We hope that this research will be reflected in balanced SW education contents design according to learner level in the future.

• Journal of Korea Multimedia Society
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• v.23 no.8
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• pp.953-964
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• 2020

Ever since media contents took over the world, the importance of typography has increased, and the influence of fonts has be n recognized. Nevertheless, the current Hangul font system is very poor and is provided passively, so it is practically impossible to understand and utilize all the shape characteristics of more than six thousand Hangul fonts. In this paper, the characteristics of Hangul font shapes were selected based on the Hangul structure of similar fonts. The stroke element detection training was performed by fine tuning Faster R-CNN Inception v2, one of the deep learning object detection models. We also propose a system that automatically extracts the stroke element characteristics from characters by introducing an automatic extraction algorithm. In comparison to the previous research which showed poor accuracy while using SVM(Support Vector Machine) and Sliding Window Algorithm, the proposed system in this paper has shown the result of 10 % accuracy to properly detect and extract stroke elements from various fonts. In conclusion, if the stroke element characteristics based on the Hangul structural information extracted through the system are used for similar classification, problems such as copyright will be solved in an era when typography's competitiveness becomes stronger, and an automated process will be provided to users for more convenience.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.292-295
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• 2006

As Chinese characters occupies more than 70% of words we currently use, the education of Chinese characters is becoming important day by day to accurately deliver the meaning of words in our language life. In recent, there are increasing concerns on writing Chinese characters correctly as well as reciting, books and Internet contents on Chinese character writing is emerging. However, currently available Internet media on the Chinese characters education only illuminates recitation and interpretation. Moreover, the writing part is merely provided in the form of paper by printing the characters, thus, writing materials are insufficient. In this paper, we propose a design and implementation of Web based Chinese characters writing system. Using the system, a user can write Chinese characters with mouse device. The learning progress is accordingly managed for the user. In addition, the proposed system can be used any place in where Internet is connected.

• Archives of design research
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• v.13 no.3
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• pp.69-80
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• 2000

Body has been high-lightened as one of the most important theme since the philosophy and the arts are focused on it in the late 20 century. Resurgence of interests in human body has been based on the skepticism on rapid digitalization and do-materialization currently undergoing in electronic media environments. Artists have been endeavoring more and more to find a synthesis which links the conceptual and the sensuous in their works as digitalization gets faster and faster. The Bodily-oriented art uses its visceral qualities, either literally or metaphorically, to engage our total being, not just our mental consciousness, in building a sensuous, evocative statement. Its transcendent ideas are inter- mixed with the fabric of the world. We are touched by this art not only because we understand it cognitively, but because we "feel"it. These characteristics of textile arts caused gradual increase of soft-sculpture works using textiles and implies possibilities of inter-grade of physical and mental world. Ann Hamilton, Magdalena Abakanowiz, Folly Apfelbaum and Pallid Dougherty are, for example, related to the fiber arts. It would be of worth to study the characteristics of contemporary faber-art works, especially done by Abakanowiz who has been regarded as a dominant pioneer in the contemporary fiber arts from the viewpoint of inter-grade of the physicals and the mental. This paper, therefore, deals with the Abaknowiz′works in the context of human body and body-signs. Life and works might be classified into 5 stages; first, learning period since her birth in 1930, second, creation period of Abakan, third, remodelling period of Abakan, fourth, composition and dissolution period of Abakan and the last and fifth, new transformation period of Abakan. ′Abakan′through her whole life as an artist has been a plastic language and based ultimately on external human body but in various materials and forms.