• Journal of the Korean Society of Floral Art and Design
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• no.41
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• pp.155-169
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• 2019

This study aims at analyzing educational effects of the horticultural picture books, which are depending on B.S. Bloom's taxonomy of educational objectives. After collecting various horticulture-related picture books, this study classified them by the B.S bloom's educational taxonomy. There were objectives of the cognitive domain, objectives of the affective domain, psychomotor domain in plants and gardening activities. And the cognitive domain, affective domain, psychomotor domain subdivided into the sub-region can learn from the horticulture picture books to teach the unique characteristics could be found. To know the teachers' perceptions of the effectiveness of using picture books in the horticulture class, questionnaire were analyzed from the survey. As a result, by Bloom's educational taxonomy area they preferred children's books. Teacher think that fairy tale books promote the interest of the children and have the advantage of fostering creativity. In addition, an easy point to get in school, lack of hours in the effective education to help horticulture that was expected. The cognitions of most effective storytelling method of horticulture picture book was story immersion. And the effective activity after reading picture book was drawing picture. Also, the most effective teaching materials was a real-life picture.

• The Journal of the Korea Contents Association
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• v.8 no.7
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• pp.153-160
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• 2008

It devides that a comic book is based on paper and the other one is serviced through the medium of internet. Each one called conventional form of comic book and digital one. Currently digital comics are published on the various portals and WEB sites and they become one of the comic media and service. However, it is simply uploaded scan-images of comic book on monitors instead of paper. This is just only difference of output form of comics and it does not bring out any digital feature. Now we need a new comic research and experiments that are applied characters of digital for the conventional comic directing. Thus this research presents that the new possibility of digital comics with the core of digital contents, interactivity is applied for comic frame-manner and user customized storytelling.

• Design Convergence Study
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• v.15 no.5
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• pp.1-19
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• 2016

The emergence of digital media has enabled visitors' active intervention based on the existing art information archiving. Accordingly, this study was conducted to analyze how archiving data that art museums have developed so farcan be provided significantly to visitors and generate a contemporary appreciation code. This study intended to solve the problems in case study analysis through the restructuralization of information that reflected visitors' appreciation activities as the principal agent. The structure of information, which was reframed for multilayered information approach and use by keyword, is meaningful as it has developed an information structure to mainly enhance visitors' understanding. It is expected that the use of art information proposed in this study will be helpful for setting the specific direction of actual transmedia storytelling service by art museums based on web later on.

• Cartoon and Animation Studies
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• s.21
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• pp.51-69
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• 2010

OSMU is now one of the most important keywords in the media industry. However, how to educate future media workers who can design and implement OSMU is an unsolved problem to media educators. In order to overcome the limitations of two perspectives of OSMU, namely economic perspective and storytelling perspective, this study propose a new OSMU education model for college students. Beginning with creating local content using MediaWiki, this model consists of five phases of media windowing, including MediaWiki, smartphone application, Web design, multimedia e-magazine for tablet PC, and publication. A Chuncheon-based university has been experimenting with this new OSMU education program. MediaWiki has played important role for creating local content collaboratively. All That Chuncheon application is now on service via SKT Tstore and Chuncheon Web pages has been designed successfully. Multimedia e-magazine and book publication is under preparation. The experiment has been successful so far, mainly due to the strategic choice of local content as the source of following media window. Also students have been strongly motivated for participating in this OSMU program.

• Cartoon and Animation Studies
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• s.19
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• pp.113-126
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• 2010

The digital cartoons market is looking for a new growth momentum as the radical increases of the demands and markets about the mobile contents with portable instrument popularization. The conventional digital cartoons markets which are based on web-toon, page viewer cartoons and e-paper cartoons have been studied various fields to overcome some limitations such as the traditional cartoons had. The mobile cartoons which have been changed more and more, have some canvas limitations due to the mobile screen size. These limitations lead to the communication problems between the cartoonists and the subscribers and resulting some obstacles of mobile cartoons activations. In this paper, we developed a authoring tool applied the Screen Flow method to overcome inefficiency of conventional authoring methods. This proposed method can reflect the cartoonists' during the process of authoring mobile cartoons, thereafter we studied about the authoring method of mobile cartoons and its effects. For the convenience of users creating and distributing content in a way has been studied.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.11
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• pp.501-512
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• 2019

The purpose of this study is to explore the necessity and method of the development of modern digital image contents using the story of the literary work 'Guunmong'' by Kim Man-joong. Collective intelligence technique is one of the most recommended. Today, most cultural content development is achieved through the application of digital technology through collaboration of various people from the planning stage to the completion stage. Most prototypes of local cultural contents are developed based on the literary works of artists from the region or background of the region on the works. These local cultural resources can be developed into experiential tourism products and used for the development of local cultural industry. This study first examines the availability of collective intelligence method as a way to effectively develop local cultural contents, and proposes application of image-telling technique and using web-toon characters in digital image contents development. In order to prove the practical applicability of the proposed method, we present an example of cultural contents development of 'Guunmong'. Finally, we propose a new business model based on collective intelligence to develop a system of creation and distribution of the cultural contents through the continuous collaboration.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.546-559
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• 2021

This research aimed to develop the district unit plan simulation using procedural modeling based on shape grammar. For this, Esri's CityEngine 2020.0 was selected as a main development tool, and Inside Commercial Area in Bangi-dong, Songpa-gu, Seoul as the research site where about 25% of the total area was developed over the past five years. Specifically, the research developed the simulation through the following three phases of Data-Information-Knowledge after selecting necessary parameters. In the Data phase, 2 and 3 dimensional data were obtained by utilizing data sharing platforms. In the next Information phase, the acquired data were generated into various procedural models according to the shape grammar, and the 2D and 3D layers were then integrated using relevant applications. In the final Knowledge phase, three-dimensional spatial analysis and storytelling contents were produced based on the integrated layer. As a result, the research suggests the following three implications for the simulation development. First, data accuracy and improvement of sharing platforms are needed in order to effectively carry out the simulation development. Second, the guidelines for district unit plans could be utilized and developed into shape grammar for procedural modeling. Third, procedural modeling is expected to be used as an alternative tool for communication and information delivery.

• Journal of Intelligence and Information Systems
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• v.20 no.2
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• pp.109-122
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• 2014

People are nowadays creating a tremendous amount of data on Social Network Service (SNS). In particular, the incorporation of SNS into mobile devices has resulted in massive amounts of data generation, thereby greatly influencing society. This is an unmatched phenomenon in history, and now we live in the Age of Big Data. SNS Data is defined as a condition of Big Data where the amount of data (volume), data input and output speeds (velocity), and the variety of data types (variety) are satisfied. If someone intends to discover the trend of an issue in SNS Big Data, this information can be used as a new important source for the creation of new values because this information covers the whole of society. In this study, a Twitter Issue Tracking System (TITS) is designed and established to meet the needs of analyzing SNS Big Data. TITS extracts issues from Twitter texts and visualizes them on the web. The proposed system provides the following four functions: (1) Provide the topic keyword set that corresponds to daily ranking; (2) Visualize the daily time series graph of a topic for the duration of a month; (3) Provide the importance of a topic through a treemap based on the score system and frequency; (4) Visualize the daily time-series graph of keywords by searching the keyword; The present study analyzes the Big Data generated by SNS in real time. SNS Big Data analysis requires various natural language processing techniques, including the removal of stop words, and noun extraction for processing various unrefined forms of unstructured data. In addition, such analysis requires the latest big data technology to process rapidly a large amount of real-time data, such as the Hadoop distributed system or NoSQL, which is an alternative to relational database. We built TITS based on Hadoop to optimize the processing of big data because Hadoop is designed to scale up from single node computing to thousands of machines. Furthermore, we use MongoDB, which is classified as a NoSQL database. In addition, MongoDB is an open source platform, document-oriented database that provides high performance, high availability, and automatic scaling. Unlike existing relational database, there are no schema or tables with MongoDB, and its most important goal is that of data accessibility and data processing performance. In the Age of Big Data, the visualization of Big Data is more attractive to the Big Data community because it helps analysts to examine such data easily and clearly. Therefore, TITS uses the d3.js library as a visualization tool. This library is designed for the purpose of creating Data Driven Documents that bind document object model (DOM) and any data; the interaction between data is easy and useful for managing real-time data stream with smooth animation. In addition, TITS uses a bootstrap made of pre-configured plug-in style sheets and JavaScript libraries to build a web system. The TITS Graphical User Interface (GUI) is designed using these libraries, and it is capable of detecting issues on Twitter in an easy and intuitive manner. The proposed work demonstrates the superiority of our issue detection techniques by matching detected issues with corresponding online news articles. The contributions of the present study are threefold. First, we suggest an alternative approach to real-time big data analysis, which has become an extremely important issue. Second, we apply a topic modeling technique that is used in various research areas, including Library and Information Science (LIS). Based on this, we can confirm the utility of storytelling and time series analysis. Third, we develop a web-based system, and make the system available for the real-time discovery of topics. The present study conducted experiments with nearly 150 million tweets in Korea during March 2013.