• Journal of Korea Game Society
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• v.20 no.3
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• pp.3-14
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• 2020

The purpose of this paper is to analyze the factors effecting users' satisfaction on game AI for early AI diffusion. For this purpose, we interviewed 20 users who had experiences playing Blade&Soul, made by NCsoft. Interview data had been analyzed through the Semantic Network Analysis program to identify key subject words and their relations. As a result, the paper has found keywords such as patterns, contents, variety, system, and getting new users as factors effecting users satisfaction on game AI.

• Journal of the Korean earth science society
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• v.43 no.6
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• pp.762-776
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• 2022

The purpose of this study was to determined the conceptual structure used by earth science teachers to classify metamorphic rocks as well as the criteria applied in the process of classifying metamorphic rocks. To this end, the researchers collected verbal data uttered in the process of classifying metamorphic rock using think-aloud from 21 earth science teachers in middle and high schools in Jeollabuk-do, Republic of Korea. The collected verbal data were analyzed using the semantic network analysis method, and the following results were obtained. First, in the process of classifying metamorphic rocks, earth science teachers classified them based on characteristics such as color, compositional minerals, and particle size, which can be generally observed in rocks, and foliation that appears in metamorphic rocks. Second, earth science teachers recognize the classification criteria for metamorphic rocks and focus on metamorphism such as contact metamorphism or regional metamorphism. However, there were cases where rocks were mistakenly classified through incorrect identification. Therefore, it is necessary to provide sufficient observational information about, and experience of, metamorphic rocks to enable earth science teachers to recognize and relate to the scientific process of identifying metamorphic rocks through the phenomena observed.

• Journal of the Korean Society of Clothing and Textiles
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• v.43 no.3
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• pp.427-439
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• 2019

This study investigated the semantic network based on the focus of the fashion image and SNS text utilized by global SPA brands on the last seven years in terms of the quantity and quality of data generated by the fast-changing fashion trends and fashion content-based media environment. The research method relocated frequency, density and repetitive key words as well as visualized algorithms using the UCINET 6.347 program and the overall classification of the text related to fashion images on social networks used by global SPA brands. The conclusions of the study are as follows. A common aspect of global SPA brands is that by looking at the basis of text extraction on SNS, exposure through image of products is considered important for sales. The following is a discriminatory aspect of global SPA brands. First, ZARA consistently exposes marketing using a variety of professions and nationalities to SNS. Second, UNIQLO's correlation exposes its collaboration promotion to SNS while steadily exposing basic items. Third, in the case of H&M, some discriminatory results were found with other brands in connectivity with each cluster category that showed remarkably independent results.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07b
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• pp.238-240
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• 2005

유전자의 생물학적 기능을 밝히고 세포 내 상호작용을 이해하는 것은 post-genome era의 가장 중요한 작업 중 하나이다. 세포는 서로 다른 컴포넌트들의 상호작용에 의해 아주 복잡한 네트워크를 구성한다. 생화학적 네트워크에는 metabolic, regulatory, signal transduction과 같은 세포의 프로세스를 포함한다. 이러한 생화학적 네트워크들은 서로 다른 정보체계를 가지고 각기 다른 데이터베이스에 분산되어 저장관리 되고 있다. 따라서 생화학적 네트워크 데이터를 체계적으로 효율적으로 저장, 관리하기 위한 데이터베이스에 대한 필요성이 증대되고 있다. 본 논문에서는 기존의 생화학적 네트워크 데이터베이스의 장.단점을 분석하고 객체지향 방식에 입각한 새로운 생화학적 네트워크 데이터의 통합을 위한 시스템 모델을 제시한다. 제안된 시스템 모델은 생화학적 네트워크 데이터에 대한 생물학전 관계를 자연스럽게 표현할 수 있는 객체지향 모델을 사용하였다. 또한 생화학적 네트워크 모델을 묘사하기 위한 응용프로그램 사이의 데이터 교환의 표준언어인 SBML[2]스키마를 기반으로 하고 있다.

• Journal of the Korean Society for Library and Information Science
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• v.35 no.4
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• pp.177-196
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• 2001

Internet, the heart of information network in information society, functions as a major communication tool, and the use of language through internet has become an unavoidable reality. In that context, this study builds a theoretical base on the use of language in internet, analyzes inappropriate use of language in internet in terms of 'sound', 'grammar', and 'meaning'; discusses, based on the findings, 'digital thinking', 'user transition', and 'netiquette and information education'.

• Korean Association of Arts Management
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• no.59
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• pp.5-31
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• 2021

The purpose of this study is to analyze social perceptions and discourses about creating arts in the era of artificial intelligence with making an implication of responding to the emergence of artificial intelligence. We conceptually understand the principles and limitations of creating visual arts using artificial intelligence whilst this paper addresses ai art in the social context by borrowing the theoretical lens from the sociology of arts. This article considers 472 newspapers about artificial intelligence art as the main data, which are interpreted through semantic network analysis. The analysis of this research shows that it is a controversial issue regarding who/which creates the artworks between humans and computers. However, judging from the dominant influence of a group of words representing the recognition of intellectual property rights, we have detected that social awareness is formed around the perspective of considering artificial intelligence creates visual arts rather than artists. In addition, based on the close relationship between the cluster and the cluster reflecting institutional support, we confirm that the discourse about artificial intelligence art is limited to technological development and legal system maintenance. Thus, this study suggests the need for defining artificial intelligence as the medium of art and constructing policy discourses on artificial intelligence art as an artistic genre.

• The Journal of the Korea Contents Association
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• v.15 no.2
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• pp.242-251
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• 2015

This paper is to analyse statutes and execution system on 'plain language policy' of the U.S. in the process of policy was instituted, and to suggest the meaningful implications for Korean easy public language improvement project based on the conclusions drawn. The summarized conclusion is as follows. First, the continuous interests of Presidents and taking the lead of federal agencies played important roles until the U.S. plain language policy has been established as a system. Second, in executing the U.S. plain language policy, laws legislated by period contributed to elicit mandatory compliances from the federal agencies. Third, a propelling agent of plain language policy, PLAIN, is not an administrative department but a community consisted of federal employees and experts. Fourth, plain language policy was unexpectedly given wholehearted support and assistance by Presidents and their administrations from the reform-minded Democratic party. Fifth, during the 2000s most federal departments and agencies held self-managed websites and programs related to plain language. To conclude the current U.S. plain language policy surely performs a mechanism to improve communication and a role as a ladder of trust between the public and government.

• The Journal of the Korea Contents Association
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• v.20 no.10
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• pp.544-553
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• 2020

This study was intended to examine the academic role of social welfare by analysis the trends of empathic research in the field of social welfare studies in Korea, and to explore the direction and tasks to move forward. For this purpose, technical analysis and language network analysis were performed based on the category system and the frequency of simultaneous language presentation by selecting academic papers related to empathy in the field of social welfare studies in Korea from 2000 to June 2020. According to the analysis, the number of empathic studies in the social welfare field has increased steadily since 2000, and the number of studies in the last three years has increased significantly, and the research field has been mainly in the "social welfare general" category. In terms of research, the most common research was related to empathy and the relationship between other variables, while quantitative research was the most important method used in the research. As empathic-related research increase in social welfare studies, such research results require efforts such as expansion of research field and research contents and attempts of various research methods.

• Annual Conference on Human and Language Technology
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• 2017.10a
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• pp.285-287
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• 2017

본 논문에서는 Multi-layer sequence-to-sequence 구조를 이용해 한국어 대화 시스템을 개발하였다. sequence-to-sequence는 RNN 혹은 그 변형 네트워크에 데이터를 입력하고, 입력이 완료된 후의 은닉층의 embedding에 기반해 출력열을 생성한다. 우리는 sequence-to-sequence로 입력된 발화에 대해 출력 발화를 내어주는 대화 모델을 학습하였고, 그 성능을 측정하였다. RNN에 대해서는 약 80만 발화를, MTRNN에 대해서는 5만 발화를 학습하고 평가하였다. 모델의 결과로 나타난 발화들을 정리하고 분석하였다.

• The Research Journal of the Costume Culture
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• v.27 no.3
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• pp.274-284
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• 2019

Research on cosmetic behavior has developed significantly since the 2000s. Reviewing cosmetic behavior research can be meaningful because it can grasp trends in the domestic cosmetics market, and it can also illuminate how domestic consumers' interest in makeup has changed over time. The purpose of this study is to investigate the links between major keywords and the keywords which affect makeup behavior of different age groups through network analysis. In this study we analyzed thesis and journal data based on makeup behavior through network analysis using Nodexl. We analyzed 10 years of journals and theses - from 2000 to 2017, and investigated age-related differences in variables related to makeup behavior. Research subjects were divided into age-based groups: 10, 20-40, and over 50. The total number of theses collected was 82. In order to perform network analysis using the Nodexl program, we extracted the frequency of representative words using the KrKwic program. The extracted core words were analyzed for degree centrality, betweenness centrality and eigenvector centrality using Nodexl. The expected result is that the network analysis using keywords will lead to different variables depending on age and the main goal of the cosmetics market, and it is expected to be used as the basis for follow-up research related to cosmetic behavior.