• Journal of Korean Classical Literature and Education
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• no.16
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• pp.91-116
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• 2008

This Study aims to research how we read Korean classical narrative in the digital era and the culture digital made. The meaning of reading Korean classical narrative in digital culture can be divided in four category; first, reading the old narrative text that made and enjoyed a long time ago in digital era, second, reading the old narrative text that made in the old times not as th book but by the media environment that the digital technology made up, third, reading the extended and modified media text by the digital technology from the original old narrative text, fourth, reading the text by the digital technology seeking for the original narrative text as archetype. And it is inspected that the characteristic of the digital era and how to read the four type of Korean classical narrative through the example. So we can consider about the characteristic of enjoying Korean classical narrative and method of reading the diversified Korean classical narrative by the digital. Finally, it is conclusion that we must think over the original text of Korean classical narrative and adhere classicality. And we learned we should research more abundant Korean classical narrative text.

• Cartoon and Animation Studies
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• s.27
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• pp.177-198
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• 2012

Development of digital media and interest in education bring big progress at digital device of education globally. UK which is advanced country of education is using digital education devices such as digital chalkboards, digital desks etc. and Japan plan digital text book's through the state. At 2011, Korea which is advanced country of internet adopted digital text book 2007 with mathematics, through science and English digital text book through the state. Korea's digital textbook is in a transition period, that needs case-study of advanced country of education for setting design guide and educational effect to Digital text book plan. All researches are based on LG europe design center at London, UK and target countries are UK and Sweden which is advanced country of education and a welfare state. Analysis by using FGI, KJ, survey of questionnaire, heuristic method, concentration observation. Through analytical researches prefer using digital text book with paper text book to using solo that can offer each advantage to user and teacher. Especially Interactive GUI design of digital text book to easy to access for teacher whom not friendly with digital device. When plan Digital text book content and design needs methodical design guide for target who students and teachers an in-depth study of the appraisal and method. The results of the research are introduce the design plan as a basic research and giving useful design plan to make digital text book and digital educational media in industrial aspect.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.120-126
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• 2009

As the information age grows rapidly, the amount of digital texts has been increasing as well. It has brought an increasing of visualization case in order to figure out lots of digital texts. Existing visualized design of digital text is merely concentrating on figuration of subject word through adoption of stemming algorithm and word frequency extraction, prominence of meaning of text, and connection in between sentences. So it is a fact that expression of rhythm that can visualize sentimental feeing of digital text was insufficient. Syllable is a phoneme unit that can express rhythm more efficiently. In sentences, syllable is a most basic pronunciation unit in pronouncing word, phase and sentence. On this basis, accent, intonation, length of rhythm factor and others are based on syllable. Sonority, which is most closely associated with definitions of syllable, is expressed through air flow of igniting lung and acoustic energy that is specified kinetic energy into sonority. Seen from this perspective, this study examines phonologic definition and characteristics based on syllable, which is properties of digital text, and research the way to visualize rhythm through diagram. After converting digital text into phonetic symbol by the experiment, rhythm information are visualized into images using degree of resonance, which was started from rhythm in all languages, and using syllable establishment of digital text. By visualizing syllable information, it provides syllable information of digital text and express sentiment of digital text through diagram to assist user's understanding by systematic formula. Therefore, this study is aimed at planning for easy understanding of text's rhythm and realizing visualization of digital text.

• Journal of the Korea Society of Computer and Information
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• v.28 no.10
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• pp.17-25
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• 2023

In this paper, we propose a lightweight deep learning architecture tailored for efficient text detection in fashion design sketch images. Given the increasing prominence of Digital Transformation in the fashion industry, there is a growing emphasis on harnessing digital tools for creating fashion design sketches. As digitization becomes more pervasive in the fashion design process, the initial stages of text detection and recognition take on pivotal roles. In this study, a lightweight network was designed by building upon existing text detection deep learning models, taking into consideration the unique characteristics of apparel design drawings. Additionally, a separately collected dataset of apparel design drawings was added to train the deep learning model. Experimental results underscore the superior performance of our proposed deep learning model, outperforming existing text detection models by approximately 20% when applied to fashion design sketch images. As a result, this paper is expected to contribute to the Digital Transformation in the field of clothing design by means of research on optimizing deep learning models and detecting specialized text information.

• Cartoon and Animation Studies
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• s.34
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• pp.345-366
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• 2014

From the beginning of Digital text book in 2007, there are many kinds of digital text book such as English, Science etc at Public education. Above many problems at the beginning like just using paper text book's scan data as digital text book, now use special contents and design for only digital text book. But only for digital text book not for other. There is gap between advanced country of education and us. This is research based on LG europe design center in London, UK target is UK, Sweden by heuristic analysis, question investigation to get Target's UX with digital education media. Advancement of digital and interest of education bring the world development of digital education device. UK, where is education advanced nation, is using lot's of digital education device which is interactive board, digital desk etc. Result of Analysis of Digital Education Design trend by Target of Education Needs apply rough Design by LG europe design center. We can get more sophisticated needs and UX result by target then Korea that can use for our future Digital education design plan. Also help to reduce gap between advanced country and Korea.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.5
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• pp.1891-1908
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• 2021

Cyber deception defense mitigates Advanced Persistent Threats (APTs) with deploying deceptive entities, such as the Honeyfile. The Honeyfile distracts attackers from valuable digital documents and attracts unauthorized access by deliberately exposing fake content. The effectiveness of distraction and trap lies in the enticement of fake content. However, existing studies on the Honeyfile focus less on this perspective. In this work, we seek to improve the enticement of fake text content through enhancing its readability, indistinguishability, and believability. Hence, an enticing deceptive-content generator, EDGE, is presented. The EDGE is constructed with three steps: extracting key concepts with a semantics-aware K-means clustering algorithm, searching for candidate deceptive concepts within the Word2Vec model, and generating deceptive text content under the Integrated Readability Index (IR). Furthermore, the readability and believability performance analyses are undertaken. The experimental results show that EDGE generates indistinguishable deceptive text content without decreasing readability. In all, EDGE proves effective to generate enticing deceptive text content as deception defense against APTs.

• Journal of the Korean Society of Earth Science Education
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• v.3 no.2
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• pp.109-117
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• 2010

The purpose of this study is to examine the effect of higher grades in elementary the science process skill, academic achievement and teaching learining perception by Digital Text-book in elementary science lesson. To verify research problem, the subject of this study were sixth-grade students selected from two classes of an elementary school located in Ulsan : the experimental group is composed of thirty-one students who were participated in Digital Text-book, and the other is composed of thirty students(comparison group) who were participated in teacher map based learning situation. During eight weeks, Digital Text-book instruction was executed in th experimental group while the teacher map based instruction in controled group Post-test showed following results: First, the experimental group showed a significant improvement in the science process skill compared the comparison group. Second, the experimental group did not showed a significant improvement in the Acdemic Achievement compared th the control group. Third, the experimental group showed a significant improvement in the teaching learning perception compared the comparison group. In conclusion, Digital text-book model was more effective than the teacher map based teaching model on science process skill and teaching-learning perception. However, since the study has a limit on an objet of the study and the applied curriculum, the additional studies need to be conducted with an extended comparative group and curriculum.

• International journal of advanced smart convergence
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• v.8 no.2
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• pp.183-190
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• 2019

In the era of the Fourth Industrial Revolution, digital transformation, which means changes in all industrial structures, politics, economics and society as well as IT technology, is an important issue. It is difficult to know which research topic is being studied because digital transformation is being studied in various fields. Convergence research is possible because a research topic is studied in various fields such as computer science area and Decision science area. However, it is difficult to know the specific research status of the research topic. In this study, eight research topics were derived using the topic modeling technique of text mining for abstract of academic literature and the trend of each topic was analyzed. We also proposed to create a Topic-Word Proportions Table in the LDA based Topic modeling process to predict the topic of new literature. The results of this study are expected to contribute to advanced convergence research on topic of digital transformation. It is expected that the literature related to each research topic will be grasped and contribute to the design of a new convergence research.

• Fashion & Textile Research Journal
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• v.23 no.3
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• pp.380-389
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• 2021

This study aimed to reveal the perceptions and trends of digital fashion technology through an informational approach. A big data analysis was conducted after collecting the text shown in a web environment from April 2019 to April 2021. Key words were derived through text mining analysis and network analysis, and the structure of perception of digital fashion technology was identified. Using textoms, we collected 8144 texts after data refinement, conducted a frequency of emergence and central component analysis, and visualized the results with word cloud and N-gram. The frequency of appearance also generated matrices with the top 70 words, and a structural equivalent analysis was performed. The results were presented with network visualizations and dendrograms. Fashion, digital, and technology were the most frequently mentioned topics, and the frequencies of platform, digital transformation, and start-ups were also high. Through clustering, four clusters of marketing were formed using fashion, digital technology, startups, and augmented reality/virtual reality technology. Future research on startups and smart factories with technologies based on stable platforms is needed. The results of this study contribute to increasing the fashion industry's knowledge on digital fashion technology and can be used as a foundational study for the development of research on related topics.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.718-721
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• 2017

Natural language processing, which is the basis of text mining, differs depending on the type of language. Especially, Hangeul, which has relatively high freedom of expression compared to other languages, has various forms of words depending on the use of ending. The part that does not change in these various forms of words is called the stem. For effective text mining, it is essential to extract words and unify various types of words. Therefore, this paper proposes an extraction algorithm for Hangul word for effective text mining of Hangul document.