• Journal of Digital Convergence
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• v.14 no.3
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• pp.243-250
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• 2016

The importance of platform businesses in the global market is growing, but in Korea, platform businesses with a global competitive edge are rare. This study compared the competitiveness of the local and international platform businesses by analyzing the six success factors of platform businesses. It surveyed 104 professionals in ICT regarding the competitiveness of SNS services (Kakao Talk, Facebook), mobile payment systems (Samsung Pay, Apply Pay), digital content (Naver, YouTube), online shopping (G Market, Amazon) and education (K-MOOC, MOOC). In sum, the local platform business sector, compared to its U.S. counterpart, is lagging behind in creativity, value creation, cost reduction, networking effects and the ability to build, change and develop new ecosystems.

• Journal of Korea Game Society
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• v.18 no.5
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• pp.83-92
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• 2018

Many studies in deep learning show results as good as human's decision in various fields. And importance of activation of online-community and SNS grows up in game industry. Even it decides whether a game can be successful or not. The purpose of this study is to construct a system which can read texts and create comments according to schedule in online-community and SNS using deep learning. Using recurrent neural network, we constructed models generating a comment and a schedule of writing comments, and made program choosing a news title and uploading the comment at twitter in calculated time automatically. This study can be applied to activating an online game community, a Q&A service, etc.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.6
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• pp.1122-1130
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• 2001

Recently the importance of distribution channel design has been focused on due to a turbulent environment. The channel design strategy involves the choice of an optimal channel arrangement including channel width, channel depth, the types of intermediaries to be used, and the specific responsibilities of each channel member. The purpose of this paper is to investigate changes of distribution intensity in the infant & children's wear brand from 1997 to 1999, when Korea has faced changes before and after IMF intervention that influenced the Korean economy greatly. Thus, this study provides channel managers with some guidelines for establishing and adjusting the infant & children's wear channel strategies. The data is collected by the Korean Fashion Brand Annual published by Apparel News Co., from 1997 to 1999. infant & children's wear brands are selected and analyzed with Pearson correlation. Statistic analysis has shown different results in the type of brands in terms of distribution intensity. The type of brands between infant's wear and those for children differ in price and launching period. In the case of infant's wear brands, the launching period and total sales should be considered in designing channel distributions, while for children's brands total sales are significant. As the price increases, children's wear brands are significantly linked to their distribution intensity only in certain times at the starting point of IMF intervention. IMF intervention do not seem to influence the distribution intensity of infant's wear brands much as it did children's wear brands. It seems that the infant's wear industry is more stable than the children s wear industry. As a result, the marketer who plans distribution intensity for the infant's and children's wear brands should consider total sales, the launching period and the price according to the type of brands he deals with.

• The Journal of the Convergence on Culture Technology
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• v.4 no.4
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• pp.267-272
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• 2018

Today, SNS exists as the most influential medium. A variety of designs are being produced in the context of numerous SNS marketing designs and the increasing exposure of ads to SNS and portal sites. Recognizing the current status of sns advertising design, which is heating up more than a decade ago, we will study strategies to introduce an important part of education to be conducted in universities and the current way in which it is used and produced. Modern SNS marketing designs include promotional posters, card news, and banner ads, and are evolving into various forms and content that are combined with advertisements. In communicating or sharing information, the importance of real-time advertising product work and the saving of caustic costs are important. This requires a diversification of university education, as well as a change in quality and speed of production. When the graduates of SNS Design Production Education Development Plan and design work were carried out, they conducted a study on the education section where real-time work is possible to proceed to the industrial field. Through this research, we would like to consider the development of SNS marketing design personnel and the practical implications of training methods.

• Acta Via Serica
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• v.3 no.2
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• pp.181-196
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• 2018

In Turkey, academic studies on Korea are mostly focused on the Korean war and Korean language and literature. Conversely, in Korea, it seems that academic studies are largely focused on old Turkic history and Turkish language and literature. Unfortunately, on both sides, there is not a satisfiying number of studies on the Turkic diaspora in Korea. However, it is a reality that there was a Turco-Tatar group that lived in Korea at the time of the Japanese occupation between the two world wars. This group became Turkish subjects after World War II and became a bridge between Korea and Turkey. After the Russian revolution, around 1919, some Turco-Tatar groups like the Bashkir and the Misher emigrated to East Asia like the Manchuria region of China and Korea. Beginning from the 1920s, some families moved to Japan, but a group of Turco-Tatar stayed in Korean cities like Seoul (Keijo), Pusan and Daegu. The Turco-Tatar groups of East Asia established schools and mosques in Seoul, Korea; Harbin, Manchuria; Kobe, Nagoya; and Tokyo in Japan. A Moslem printing house (Matbaa-i ${\dot{I}}slamiye$) was also established in Tokyo in the 1930s. Many books, a newspaper and a magazine were published by this printing house. The name of the magazine was Yanga Yapon Muhbiri(New Japanese Courier), and it survived between 1931 and 1938. In this magazine, there were many interesting news and data about Korea and the Turco-Tatars of Korea. In this short article, we will try to bring out the importance of this magazine by giving samples of the articles which were written on the Turco-Tatar diaspora in Korea.

• Journal of Information Technology Services
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• v.19 no.6
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• pp.1-13
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• 2020

Recently, 80% of big data consists of unstructured text data. In particular, various types of documents are stored in the form of large-scale unstructured documents through social network services (SNS), blogs, news, etc., and the importance of unstructured data is highlighted. As the possibility of using unstructured data increases, various analysis techniques such as text mining have recently appeared. Therefore, in this study, topic modeling technique was applied to the Korea Highway Corporation's voice of customer (VOC) data that includes customer opinions and complaints. Currently, VOC data is divided into the business areas of Korea Expressway Corporation. However, the classified categories are often not accurate, and the ambiguous ones are classified as "other". Therefore, in order to use VOC data for efficient service improvement and the like, a more systematic and efficient classification method of VOC data is required. To this end, this study proposed two approaches, including method using only the latent dirichlet allocation (LDA), the most representative topic modeling technique, and a new method combining the LDA and the word embedding technique, Word2vec. As a result, it was confirmed that the categories of VOC data are relatively well classified when using the new method. Through these results, it is judged that it will be possible to derive the implications of the Korea Expressway Corporation and utilize it for service improvement.

• The Journal of the Korea Contents Association
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• v.22 no.7
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• pp.548-562
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• 2022

This study was conducted to diagnose the issues of AI ethics in global content and to discuss what kind of discourse is needed to strengthen human identity. To this end, the study selected Netflix original content "The Social Dilemma" for analysis and adopted narrative analysis as the research method. The analysis results confirmed that "Social Dilemma" showed the structure of a traditional current affairs documentary and mainly used experts and statistical data to develop the story. It also reinforced core content claims by enumerating domestic and foreign cases such as the 2021 Myanmar massacre and the spread of fake news. In addition, the relationship between the characters clearly revealed the binary opposition between developers and media companies as well as users and advertisers. For the solution to the problem, strong regulations on businesses and the suspension of social media use were reached. However, "The Social Dilemma" merely pointed out the misuse of AI technology and had a narrative that ignored human identity and social relationships. Such results raise the need for creating contents that emphasize the importance of human sociality, relationships, and learning ability in the age of AI.

• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.291-297
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• 2022

Modern challenges in the educational environment force scientists and practitioners to search for an adequate answer. In particular, the war in Ukraine demonstrated the importance of developing information competence as one of the main means of distinguishing true information from a whole stream of fake news. This is especially relevant in connection with the introduction of distance learning when students must find and process a large amount of information on their own. Therefore, the purpose of the article is to analyze the training of higher education students through the prism of acquiring the necessary level of informational competence in war conditions. For this, general scientific and special research methods, as well as the experimental method, were used. In the results, the peculiarities of the interpretation of information competence in the distance form of education among modern researchers are determined, the psychological components of resistance to fakes are analyzed. Based on the conducted empirical measurements, it was established that thorough work on student education gives positive skills when working independently with Internet materials, strengthens the ability to distinguish false information and propaganda from the real state of affairs. The conclusions summarize the results of the empirical research and suggest ways to improve the situation with the formation of information competence.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.47 no.1
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• pp.41-50
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• 2024

Korea is facing a significant problem with historically low fertility rates, which is becoming a major social issue affecting the economy, labor force, and national security. This study analyzes the factors contributing to the regional gap in fertility rates and derives policy implications. The government and local authorities are implementing a range of policies to address the issue of low fertility. To establish an effective strategy, it is essential to identify the primary factors that contribute to regional disparities. This study identifies these factors and explores policy implications through machine learning and explainable artificial intelligence. The study also examines the influence of media and public opinion on childbirth in Korea by incorporating news and online community sentiment, as well as sentiment fear indices, as independent variables. To establish the relationship between regional fertility rates and factors, the study employs four machine learning models: multiple linear regression, XGBoost, Random Forest, and Support Vector Regression. Support Vector Regression, XGBoost, and Random Forest significantly outperform linear regression, highlighting the importance of machine learning models in explaining non-linear relationships with numerous variables. A factor analysis using SHAP is then conducted. The unemployment rate, Regional Gross Domestic Product per Capita, Women's Participation in Economic Activities, Number of Crimes Committed, Average Age of First Marriage, and Private Education Expenses significantly impact regional fertility rates. However, the degree of impact of the factors affecting fertility may vary by region, suggesting the need for policies tailored to the characteristics of each region, not just an overall ranking of factors.

• Smart Media Journal
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• v.12 no.11
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• pp.77-85
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• 2023

After COVID-19, communication through online platforms has increased, leading to an accumulation of massive amounts of conversational text data. With the growing importance of summarizing this text data to extract meaningful information, there has been active research on deep learning-based abstractive summarization. However, conversational data, compared to structured texts like news articles, often contains missing or transformed information, necessitating consideration from multiple perspectives due to its unique characteristics. In particular, vocabulary omissions and unrelated expressions in the conversation can hinder effective summarization. Therefore, in this study, we restructured by considering the characteristics of Korean conversational data, fine-tuning a pre-trained text summarization model based on KoBART, and improved conversation data summary perfomance through a refining operation to remove redundant elements from the summary. By restructuring the sentences based on the order of utterances and extracting a central speaker, we combined methods to restructure the conversation around them. As a result, there was about a 4 point improvement in the Rouge-1 score. This study has demonstrated the significance of our conversation restructuring approach, which considers the characteristics of dialogue, in enhancing Korean conversation summarization performance.