• Journal of Digital Convergence
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• v.13 no.6
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• pp.133-139
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• 2015

The purpose of this study was to examine perceptions on the festival competitiveness of festival specialists. Though extant studies for improving competitiveness of local festival is continued, differences of competitive perception is shown. Thus this study used Q methodology in order to analyze local festival competitiveness perceptions by specialists. The Q sample was based on a review of related academic literature and newspaper, as well as interviews, while Q sample consisted of festival committee, public officers, related artists, art directors, event companies, and related professors. The analysis shows that meaningful three types of competitiveness perception. The results show that local festival competitiveness perception is source of local festival competitiveness. Theoretical and practical implication were discussed.

• Journal of Digital Convergence
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• v.12 no.5
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• pp.57-68
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• 2014

This article analyses frame transition of personal information leakage in Korea from 1984 to 2014. In order to investigate the transition, we have collected newspaper article's titles. This study adopts classification, text network analysis(by co-occurrence symmetric matrix), and clustering techniques as part of social network analysis. Moreover, we apply definition of centrality in network in order to reveal the main frame formed in each of four periods. As a result, accessibility of personal information is extended from public sector to private sector. The boundary of personal information leakage is expanded to overseas. Therefore it is urgent to institutionalize the protection of personal information from a global perspective.

• Journal of Digital Convergence
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• v.18 no.9
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• pp.181-190
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• 2020

The purpose of this study is to analyze the trends of wearable keywords using text mining methodology. To this end, 11,952 newspaper articles were collected from 1992 to 2019, and frequency analysis and bi-gram analysis were applied. The frequency analysis showed that Samsung Electronics, LG Electronics, and Apple were extracted as the highest frequency words, and smart watches and smart bands continued to emerge as higher frequency in terms of devices. As a result of the analysis of the bi-gram, it was confirmed that the sequence of two adjacent words such as world-first and world-largest appeared continuously, and related new bi-gram words were derived whenever issues or events occurred. This trend of wearable keywords will be useful for understanding the wearable trend and future direction.

• Journal of Digital Contents Society
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• v.18 no.3
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• pp.585-592
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• 2017

As development of personal devices have made everyday use of internet much easier than before, it is getting generalized to find information and share it through the social media. In particular, communities specialized in each field have become so powerful that they can significantly influence our society. Finally, businesses and governments pay attentions to reflecting their opinions in their strategies. The stock market fluctuates with various factors of society. In order to consider social trends, many studies have tried making use of bigdata analysis on stock market researches as well as traditional approaches using buzz amount. In the example at the top, the studies using text data such as newspaper articles are being published. In this paper, we analyzed the post of 'Paxnet', a securities specialists' site, to supplement the limitation of the news. Based on this, we help researchers analyze the sentiment of investors by generating a domain-specific sentiment lexicon for the stock market.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.93-99
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• 2020

Text mining is one of the big data analysis methods that extracts meaningful information from atypical large-scale text data. In this study, text mining was used to monitor citizens' opinions on the policies and systems being implemented. We collected 5,108 newspaper articles and 748 online cafe posts related to 'Gyeonggi Lacal Currency' and performed frequency analysis, TF-IDF analysis, association analysis, and word tree visualization analysis. As a result, many articles related to the purpose of introducing local currency, the benefits provided, and the method of use. However, the contents related to the actual use of local currency were written in the online cafe posts. In order to revitalize local currency, the news was involved in the promotion of local currency as an informant. Online cafe posts consisted of the opinions of citizens who are local currency users. SNS and text mining are expected to effectively activate various policies as well as local currency.

• Journal of Digital Convergence
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• v.17 no.5
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• pp.127-135
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• 2019

The purpose of this study is to suggest a plan to promote the tourism of the island by developing the contents of the marine food tourism. Activation of island tourism should begin with developing marine food tourism content. In the viewpoint that the development of marine food tourism content is a priority, previous studies were examined and related cases were analyzed. For this purpose, this study reviewed and analyzed various literature, periodicals, government documents and newspaper articles published in Korea and abroad. As a result of this study, to develop the marine food tourism contents in Korea and to promote the island tourism, it is necessary to develop the marine food tourism contents as representative contents of the island tourism, develop and operate the high value added fusion food tourism product, And the development of marine food tourism products that meet the island tourism paradigm and changes in tourism patterns of tourists.

• Journal of Digital Convergence
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• v.19 no.5
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• pp.407-414
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• 2021

This study will examine the relationship between women and art education between the 1910s and the 1930s, and how women broke down the feudalistic views on women by changing the perceptions of women and stepped into society through gendered art education. Women tried to restore dignity and realize freedom and equality between men and women through modern education. Nevertheless, women had to receive handicraft education for the cultivation of virtues as part of the Japanese colonial policy and returned to their traditional feminine role. However, this study aims to reveal how a small number of "new women" who studied in Japan took the lead in teaching handicrafts for the independence of women, and how they were officially recognized as in the arts and crafts community and was able to enter the exhibition space through records, interviews, and newspaper articles. In conclusion, this study hopes to provide an opportunity to examine the relationship between handicraft education and femininity, and to consider the role of art education and exhibition in the development of women into social beings.

• Analytical Science and Technology
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• v.20 no.2
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• pp.155-163
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• 2007

Porosity paper evidence is encountered in case of forgery, kidnapping, fraud and terrorist activity. The present study was designed to evaluate the effect of three chemical reagents (Ninhydrin, 1,8-diazafluoren-9-one (DFO), Iodine fuming) to the quality of developed latent fingerprints on porosity printing papers and newspaper. In case of printing papers, print quality was better with Iodine fuming method than Ninhydrin and DFO treatment to developing latent fingerprints. Developing latent fingerprint on newspapers was achieved with Iodine fuming processing. The processing of Iodine fuming followed by DFO and by using blue light (orange red filter) exhibited better results with Iodine fuming. Enhancement of latent fingerprint detection image using Digital Imaging System was achieved.

• Journal of the Korean Society for information Management
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• v.41 no.1
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• pp.261-282
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• 2024

This study proposed and evaluated electroencephalography (EEG)-based and eye-tracking-based methods to determine relevance by utilizing users' implicit relevance feedback while navigating content in a digital library. For this, EEG/eye-tracking experiments were conducted on 32 participants using video, image, and text data. To assess the usefulness of the proposed methods, deep learning-based artificial intelligence (AI) techniques were used as a competitive benchmark. The evaluation results showed that EEG component-based methods (av_P600 and f_P3b components) demonstrated high classification accuracy in selecting relevant videos and images (faces/emotions). In contrast, AI-based methods, specifically object recognition and natural language processing, showed high classification accuracy for selecting images (objects) and texts (newspaper articles). Finally, guidelines for implementing a digital library interface based on EEG, eye-tracking, and artificial intelligence technologies have been proposed. Specifically, a system model based on implicit relevance feedback has been presented. Moreover, to enhance classification accuracy, methods suitable for each media type have been suggested, including EEG-based, eye-tracking-based, and AI-based approaches.

• Korean journal of communication and information
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• v.43
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• pp.359-384
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• 2008

Nowadays, newspaper industry faces a crisis in terms of two aspects: First, in this multi-channel era, it has competed with the online journalism appearing in many digital media. Second, with the decrease of numbers of readers and political participation, the roles of newspaper has to be changed accordingly. The concept of civic journalism emerged as a solution in this context. The purpose of the study is to explore the factors in how journalists perceive the civic journalism. The Q-methodology was adapted to identify the factors composing of the belief, values, attitudes, ideas, and opinions toward the civic journalism. Total of 24 Q-sample (statements) were sorted by 27 P-sample (journalists) who were selected by their gender, years of service, and the like. The Quanl program finally produced 3 factors that were interpreted and named as follows: Factor I, the Complimentary Journalism, the civic journalism would fulfill the functions that traditional journalism has neglected. Factor II, the Alternative Journalism inducing the citizen's participation in the public areas. Factor III, the Functional Journalism, emphasizing dysfunction of the civic journalism.