• Journal of the Economic Geographical Society of Korea
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• v.25 no.1
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• pp.87-107
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• 2022

This study aims to understand the possibility of small city marketing strategies using B-grade cultural contents. This research focused on the case of Chungju City which applied B-grade cultural contents to city marketing. The process using B-grade cultural contents to small city marketing was investigated and hash-tags and comments on social media were coded and analyzed based on grounded theory. Also, the details were examined through in-depth interviews with the local government official in charge. The result has shown the characteristics of B-grade cultural contents describing the differences from the original B-grade culture as subcuture. First, publicity materials showed the characteristics of general B-grade culture such as retro, puns, and escape, showing the process of communication/participation/empathy. Second, improbability, intertextuality, extensibility, subversiveness, and authenticity were the five main factors for responses and empathy from the audience. Third, the ripple effect was formed through the simple narrative structure of 'intro-conclusion'. Finally B-grade cultural contents of Chungju showed new possibilities for sustainable small city marketing through the formation of new cultural assets.

• The Journal of the Korea Contents Association
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• v.6 no.7
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• pp.69-78
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• 2006

In this paper, we presents the efficiency and a transmission quality of the system which is composed of the optical elements from physical layer of the active optical ring network. For a simulation it will use the Transmissionmaker WDM and it will be able to observation a optical transmission quality of the optical transmission system. The active optical network is composed of two rings(main ring and sub-ring). It measures the BER(Bit Error Rate) quality which it follows node number from the sub ring and physical distance of the node. Performance analysis from the physical layer becomes the standard of the plan for the efficiency optimization of the active optical ring network. Consequently it will be able to compose the efficient optical transmission system which reflects the physical distance, a traffic demand quantity of each node and a number of users from actual network.

• Journal of Fashion Business
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• v.27 no.4
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• pp.88-100
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• 2023

This study analyzed the compositional characteristics of fashion videos and the characteristics of fashion design spreading as trends through Subversive Basics. Literature research and case studies were conducted concurrently. Based on the literature review, an analysis method was designed, focusing on the concept of online video content, Subversive Basics, and the video content type. For the case analysis, videos were collected and classified using Subversive Basics as the keyword. The content was observed, and design features were analyzed. Based on the results, the collected videos were classified into tutorial, curation, and creative content types according to their compositional characteristics. Tutorial content emphasizes practical actions that demonstrate how to make or modify clothing, thereby promoting user-generated content for dissemination. Curation contents provide users with style ideas and information about clothing and purchases to encourage clothing purchases and influence purchase decisions that lead to dissemination through clothing consumption and wear. Creative content showcases the process of modifying and creating clothes to enhance understanding and value of creative design. The characteristics of fashion design utilized in these contents include bold designs with high visual effects as the first category, designs that can be easily and quickly modified due to intentional incompleteness as the second category, and prominently featured body-positive, individualistic designs as the third category. The results of this study can be associated with balanced development between basic design elements and personalized unique designs, catering to consumer needs.

• Journal of Fashion Business
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• v.27 no.5
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• pp.78-92
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• 2023

Fashion trends are actively disseminated through social media, which influences both their propagation and consumption. This study explored how users perceive subversive basic fashion in social media videos, by examining the associated concepts and characteristics. In addition, the factors contributing to the style's social media dissemination were identified and its distinctive features were analyzed. Through text mining analysis, 80 keywords were selected for semantic network and CONCOR analysis. TF-IDF and N-gram results indicate that subversive basic fashion involves transformative design techniques such as cutting or layering garments, emphasizing the body with thin fabrics, and creating bold visual effects. Topic modeling suggests that this fashion forms a subculture that resists mainstream norms, seeking individuality by creatively transforming the existing garments. CONCOR analysis categorized the style into six groups: forward-thinking unconventional fashion, bold and unique style, creative reworking, item utilization and combination, pursuit of easy and convenient fashion, and contemporary sensibility. Consumer actions, linked to social media, were shown to involve easily transforming and pursuing personalized styles. Furthermore, creating new styles through the existing clothing is seen as an economic and creative activity that fosters network formation and interaction. This study is significant as it addresses language expression limitations and subjectivity issues in fashion image analysis, revealing factors contributing to content reproduction through user-perceived design concepts and social media-conveyed fashion characteristics.

• The Journal of the Korea Contents Association
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• v.5 no.6
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• pp.331-342
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• 2005

In this paper, we propose an efficient watermarking algorithm using block indexing. The proposed algorithm is a novel blind watermarking scheme using the indexed watermark value based on the spread spectrum method. The watermark insertion is allocated into index value of each block after dividing original image into sub-blocks. The watermark embedded in mappinged with index values of blocks, And the mappinged blocks convert to DCT and then the PN sequence embedded to middle frequency band. Consequently the watermark is expressed by index value of sub-blocks. The watermark extracted from the correlation of between PN sequence and watermarked image. Experimental results demonstrate that the watermarked image has a good quality in terms of imperceptibility and is robust against various attacks.

• Journal of Digital Contents Society
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• v.17 no.6
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• pp.509-521
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• 2016

A novel Samples Balanced Genetic Algorithm combined with Extreme Learning Machine (SBGA-ELM) for Parkinson's Disease diagnosis and detecting bio-markers is presented in this paper. Proposed approach uses genes' expression data of 22,283 genes from open source ParkDB data base for accurate PD diagnosis and detecting bio-markers. Proposed SBGA-ELM includes two major steps: feature (genes) selection and classification. Feature selection procedure is based on proposed Samples Balanced Genetic Algorithm designed specifically for genes expression data from ParkDB. Proposed SBGA searches a robust subset of genes among 22,283 genes available in ParkDB for further analysis. In the "classification" step chosen set of genes is used to train an Extreme Learning Machine (ELM) classifier for an accurate PD diagnosis. Discovered robust subset of genes creates ELM classifier with stable generalization performance for PD diagnosis. In this research the robust subset of genes is also used to discover 24 bio-markers probably responsible for Parkinson's Disease. Discovered robust subset of genes was verified by using existing PD diagnosis approaches such as SVM and PBL-McRBFN. Both tested methods caused maximum generalization performance.

• The Journal of the Korea Contents Association
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• v.19 no.1
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• pp.141-151
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• 2019

A network of graph data structure is used in many applications to represent interactions between entities. Recently, as the size of the network to be processed due to the development of the big data technology is getting larger, it becomes more difficult to handle it in one server, and thus the necessity of distributed processing is also increasing. In this paper, we propose a distributed processing system for efficiently performing subgraph and stores. To reduce unnecessary searches, we use statistical information of the data to determine the search order through probabilistic scoring. Since the relationship between the vertex and the degree of the graph network may show different characteristics depending on the type of data, the search order is determined by calculating a score to reduce unnecessary search through a different scoring method for a graph having various distribution characteristics. The graph is sequentially searched in the distributed servers according to the determined order. In order to demonstrate the superiority of the proposed method, performance comparison with the existing method was performed. As a result, the search time is improved by about 3 ~ 10% compared with the existing method.

• Journal of KIISE:Computing Practices and Letters
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• v.12 no.5
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• pp.300-311
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• 2006

Traffic information is considered as one of the core contents of the terrestrial DMB. This paper proposes and implements the data broadcasting system, which automatically collects data and transmits the contents in order to provide traffic information promptly The proposed data broadcasting system comprises the following three subsystems: 1 he traffic information integration system for collecting and processing data in real-time, the traffic information authoring system for automatically creating and verifying the contents, and the traffic information transmission system for transmitting the created contents. We describe these subsystems in detail about their functionality, components and interoperability. The proposed data broadcasting system provides the HWS type contents as the PAD data of the terrestrial DMB audio broadcast. Finally, we describe our implementation of the data broadcasting system, and suggest further improvements that need to be made.

• Journal of Korea Game Society
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• v.21 no.3
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• pp.53-66
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• 2021

This study explored how the network structure in terms of social interactions among users via a mobile game has changed longitudinally. The main findings are summarized as follows. First, in-game events are likely to increase the social interactions of users. Second, some power users played key roles in the game users' network and tend to make a large sub-group for interacting among users. Third, it is suggested that the analysis of network structure among users can be a useful tool for monitoring which in-game events are effective and how they are mutually interconnected for collaboration.

• Journal of Popular Narrative
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• v.26 no.3
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• pp.255-288
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• 2020

The purpose of this study is to propose 'plot lamination methodology' for planning and analyzing of storytelling. The story contents with a certain volume of narrative might have several important characters. Most of the characters have meaningful influences on the context of the story through their choices and actions as they go through dynamic changes to construct and deconstruct relationships. The plot lamination methodology is the result of an attempt to look at the process from the 'strategic' point of view by focusing on the fact that the main characters with supplementary nature contribute to the independent formation of subplot based on the main plot driven by the protagonist. Regardless of how they live their own unique and autonomous life in the narrative, the main characters hold a relatively subordinate position within the centripetal force of the main plot. Their journeys tend to expand/emphasize/divide up the process of the main plot's 'persuasion via causality,' and also individualize into the functions of emotional sympathy (pathos), moral, ethical perspective (ethos), and rational logic (logos). As such, the subplots of main characters are laminated according to these three functional traits, which could become multi-layered through second or third laminations, depending on the number and roles of other characters. If the plot lamination methodology is further developed through follow-up studies, it will open up the possibilities of the strategic design (planning) and aesthetic criticism (analysis) regarding the procedure of conjugation /branching of subplot and/from the main plot.