• Title/Summary/Keyword: 텍스트 연구

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A study on the type of navigation interface design for information search in e-commerce (이커머스에서 정보 탐색을 위한 네비게이션 인터페이스 디자인 유형 연구)

  • Jung, Da-Young;Kim, Seung-In
    • Journal of Digital Convergence
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    • v.19 no.10
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    • pp.411-418
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    • 2021
  • In this study, information search methods and user interface types provided to users were investigated for the top 100 e-commerce services selected by Statista and the National Retail Federation. And the characteristics of each type were derived by analyzing the interaction method of the user's manipulation with the visualization elements constituting the interface. The research results are as follows. First, as the information provision method, spread format was more often used as the number and hierarchy of information increased, and drop-down and mega menu methods were used more often as the number and hierarchy of information decreased. Second, as a visual classification method according to the information hierarchy, the background color, font change, and line were often used, and there were many cases where the background color and line were used at the same time. Third, there were various elements such as background color, text color, and line as an interaction method for user manipulation, and two or more of them were applied at the same time the most. This study is meaningful in that it defines the characteristics of each type through the analysis of the types of interfaces for e-commerce information search and items that can be the selection criteria for detailed elements.

A Study on the Analysis Methodology of Works of Deconstructive Graphic Deign - Focusing on Aesthetics of Reception by Wolfgang Iser - (해체적 그래픽디자인의 작품 분석 방법론 연구 - 볼프강 이저의 수용미학을 중심으로 -)

  • Kim, Jiwon
    • The Journal of the Korea Contents Association
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    • v.21 no.9
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    • pp.88-104
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    • 2021
  • The visual expression of deconstructive graphic design influenced by postmodernism differs from the traditional ways of graphic expression that consist of precise images and text and is challenging and highly experimental. The characteristics of the formative nature of such deconstructive graphic design emphasized the importance of the reader as the principal agent of aesthetic experience in the appreciation of works. For this study, a new ideological framework was developed regarding the ambiguity arising due to visual experimentation in deconstructive graphic design, assuming the central theory to be the Reception Theory (Aesthetics of Reception) centering around the recipient who is the reader. The characteristics of Iser's Reception Theory are substituted as a theoretical category and an interpretation of the works of ambiguity in deconstructive graphic design is carried out. Although Aesthetics of Reception is a literary theory about the interaction between the artist and the reader, as a method for interpreting deconstructive graphic design influenced by postmodernism, it laid a theoretical foundation and enriched the interpretation of works. Moreover, the four characteristics of Iser's Reception Theory were used to create a framework that suggested a new direction for the approach based on the reader's interaction in the process of interpreting works of modern graphic design.

A Topic Analysis of Abstracts in Journal of Korean Data Analysis Society (한국자료분석학회지에 대한 토픽분석)

  • Kang, Changwan;Kim, Kyu Kon;Choi, Seungbae
    • Journal of the Korean Data Analysis Society
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    • v.20 no.6
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    • pp.2907-2915
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    • 2018
  • Journal of the Korean Data Analysis Society founded in 1998 has played the role of a major application journal. In this study, we checked the objective of this journal by checking the abstracts for 10 years. Abstract data was crawled from the online journal site (kdas.jems.or.kr) and analyzed by topic model. As a result, we found 18 topics from 2680 abstracts that had several contents, for example, nursing, marketing, economics, regression, factor analysis, data mining and statistical inferences. Topic1 (regression) is most frequent with 460 documents and we found the usefulness of regression in the applied science area. We confirmed the significant 10 association rules using by Fisher's exact test. Also, for exploring the trend of topics, we conducted the topic analysis for two periods which are 2006-2011 period and 2012-2016 period. We found that the control study was more frequent than survey study over time and regression and factor analysis were frequent regardless of time.

A Study on the Operation Status and Improvements of the Libraries' Instagram (도서관의 인스타그램(Instagram) 운영 현황과 개선방안에 관한 연구)

  • Kim, Young-ju;Kim, Hee-sook;Jung, Jin-il;Kwon, Sun-young;Jeong, Yoo Kyung
    • Journal of Korean Library and Information Science Society
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    • v.52 no.2
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    • pp.401-428
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    • 2021
  • Recently, libraries are trying to communicate with users using various social media. Among them, Instagram is the most used SNS by users recently. Therefore, in this study, in order to effectively operate the library Instagram, we looked at how Instagram in the library is operated, what posts and contents people are interested in, and how the library can utilize it. By analyzing the Instagram operation status of Instagram, we tried to suggest improvement plans and activation plans. For this purpose, theoretical background research on SNS and Instagram, analysis of prior research, and related data were collected and analyzed. Next, for 82 domestic library accounts opened on Instagram, the library type, region, and Instagram account number of posts, 'followers', 'follows', images, etc. were collected, and the Text, hashtags, upload date, number of 'likes' and comments were analyzed. As a result of the study, it was found that increasing followers, uploading user-customized posts, formalizing account profiles, using library-specific hashtags, and communication with users are necessary to activate library Instagram.

Toegye(退溪)'s interpretation of Chungyong(中庸) (퇴계 이황의 『중용』 해석)

  • Seo, Se-Young
    • (The)Study of the Eastern Classic
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    • no.54
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    • pp.45-76
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    • 2014
  • The purpose of this paper is to examine Toegye(退溪 李滉, 1501~1570)'s interpretation of Chungyong(中庸) who led the completion of the $Chos{\breve{o}}n$-style acceptance of Neo-Confucianism. This paper is focused on revealing the way that how he understood it according to the system of Neo-Confucianism that was proposed by Chu Hsi, rather than revealing the unique perspective of Toegye. I have the following configuration in this paper. First, I have set two directions of research for understanding of Chungyong, these were derived through the work that is an overview of cases of interpretation of Chungyong of $Chos{\breve{o}}n$. 1) How to understand the overall structure of Chungyong? 2) How to understand key concepts of Chungyong? Next, basing on these directions of research, I analyzed Toegye's interpretation of Chungyong. To grasp the structure of the whole, Toegye followed the segmentation system and structure of Chungyong changgu: Commentary on the Doctrine of the Mean, and to understand key concepts of Chungyong, he conducted in collaboration with concepts of Neo-Confucianism. Concretely, I analyze his work : Chungyong $suk{\breve{u}}i$(中庸釋義) and Chungyong $jil{\breve{u}}i$(中庸質疑) for asserting that he accepted the segmentation system and structure of Chungyong changgu. And I analyze his documents: letters to and from his disciples. This analysis focus on concepts of Chungyong for asserting that his understanding is in the context of Chu Hsi and other Neo-Confucian scholars's commentary. Toegye tried to reduce the diversity of interpretation and present one meaning.

Study on the Openness of International Academic Papers by Researchers in Library and Information Science Using POI (Practical Openness Index) (POI(Practical Openness Index)를 활용한 문헌정보학 연구자 국제학술논문의 개방성 연구)

  • Cho, Jane
    • Journal of Korean Library and Information Science Society
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    • v.52 no.2
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    • pp.25-44
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    • 2021
  • In a situation where OA papers are increasing, POI, which indexes how open the research activities of individual researchers are, is drawing attention. This study investigated the existence of OA papers and the OA method published in international academic journals by domestic LIS researchers, and derived the researchers' POI based on this. In addition, by examining the relationship between the POI index and the researcher's amount of research papers, the research sub field, and the foreign co-authors, it was analyzed whether these factors are relevant to the researcher's POI. As a result, there were 492 papers by 82 researchers whose OA status and method were normally identified through Unpaywall. Second, only 20.7% of papers published in international journals were open accessed, and almost cases were gold and green methods. Third, there were many papers in text mining in medical journals, and the papers opened in the green method are open in institutional repositories of foreign co-authors or transnational subject repositories such as PMC. Third, the POI index was relatively higher for researchers in the field of informetrics, machine learning than other fields. In addition, it was analyzed that the presence or absence of overseas co-authors is related to OA.

A Study on Image Recognition of local Currency Consumers Using Big Data (빅데이터를 활용한 지역화폐 소비자 이미지 인식에 관한 연구)

  • Kim, Myung-hee;Ryu, Ki-hwan
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.4
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    • pp.11-17
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    • 2022
  • Currently, the income and funds of the local economy are flowing out to the metropolitan area, and talented people, the driving force for regional development, also gather in the metropolitan area, and the local economy is facing a serious crisis. Local currency is issued by local governments and is a currency with auxiliary and complementary functions that can be used only within the area concerned. In order to revitalize the local economy, as local governments have focused their attention on the introduction of local currency, studies on the issuance and use of local currency are continuously being conducted. In this study, by using big data from data materials such as portals and SNS, the consumer image of local currency issued in local governments was identified through big data analysis, and based on the research results, the issuance and operation of local currency was conducted. The purpose is to present implications for The results of this study are as follows. First, by inducing local consumption through the policy issuance of local currency, it is showing the effect of increasing the economic income of the region. Second, local governments are exerting efforts to revitalize the economy and establish a virtuous cycle system for the local economy by issuing and distributing local currency. Third, the introduction of blockchain technology shows the stable operation of local currency. With academic significance, it was possible to grasp the changed appearance and effect of local currency through big data analysis and the policy direction of local currency.

Development of Machine Learning-based Construction Accident Prediction Model Using Structured and Unstructured Data of Construction Sites (건설현장 정형·비정형데이터를 활용한 기계학습 기반의 건설재해 예측 모델 개발)

  • Cho, Mingeon;Lee, Donghwan;Park, Jooyoung;Park, Seunghee
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.42 no.1
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    • pp.127-134
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    • 2022
  • Recently, policies and research to prevent increasing construction accidents have been actively conducted in the domestic construction industry. In previous studies, the prediction model developed to prevent construction accidents mainly used only structured data, so various characteristics of construction sites are not sufficiently considered. Therefore, in this study, we developed a machine learning-based construction accident prediction model that enables the characteristics of construction sites to be considered sufficiently by using both structured and text-type unstructured data. In this study, 6,826 cases of construction accident data were collected from the Construction Safety Management Integrated Information (CSI) for machine learning. The Decision forest algorithm and the BERT language model were used to train structured and unstructured data respectively. As a result of analysis using both types of data, it was confirmed that the prediction accuracy was 95.41 %, which is improved by about 20 % compared to the case of using only structured data. Conclusively, the performance of the predictive model was effectively improved by using the unstructured data together, and construction accidents can be expected to be reduced through more accurate prediction.

Trend Forecasting and Analysis of Quantum Computer Technology (양자 컴퓨터 기술 트렌드 예측과 분석)

  • Cha, Eunju;Chang, Byeong-Yun
    • Journal of the Korea Society for Simulation
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    • v.31 no.3
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    • pp.35-44
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    • 2022
  • In this study, we analyze and forecast quantum computer technology trends. Previous research has been mainly focused on application fields centered on technology for quantum computer technology trends analysis. Therefore, this paper analyzes important quantum computer technologies and performs future signal detection and prediction, for a more market driven technical analysis and prediction. As analyzing words used in news articles to identify rapidly changing market changes and public interest. This paper extends conference presentation of Cha & Chang (2022). The research is conducted by collecting domestic news articles from 2019 to 2021. First, we organize the main keywords through text mining. Next, we explore future quantum computer technologies through analysis of Term Frequency - Inverse Document Frequency(TF-IDF), Key Issue Map(KIM), and Key Emergence Map (KEM). Finally, the relationship between future technologies and supply and demand is identified through random forests, decision trees, and correlation analysis. As results of the study, the interest in artificial intelligence was the highest in frequency analysis, keyword diffusion and visibility analysis. In terms of cyber-security, the rate of mention in news articles is getting overwhelmingly higher than that of other technologies. Quantum communication, resistant cryptography, and augmented reality also showed a high rate of increase in interest. These results show that the expectation is high for applying trend technology in the market. The results of this study can be applied to identifying areas of interest in the quantum computer market and establishing a response system related to technology investment.

Three Newspapers Research from The Perspective of Disability : Focusing on The Types of Disabilities on The Disabled Person Welfare Law (3개 신문사 기사에 나타난 장애관 연구 : 장애인복지법상 장애 종류를 중심으로)

  • Lim, Ok-Hee;Cho, Won-Il
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.7
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    • pp.487-500
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    • 2020
  • This research analyzed articles about the disability under the 「The Disabled Person Welfare Law」 in a major daily newspaper. A total of 7,684 articles on disability were collected from homepages of the three newspapers , , and . Through network text analysis and content analysis, we considered about "The perspective of Disability" based on "Multiple Disability Model". As a result of this research, when comparing individual models versus social models, individual models have a higher rate 64.31% than social models 35.69%. According to the newspapers, the major perception of Disability is a traditional individual model, which means disability must be solved by individuals. In addition, due to low social and institutional supports, the public's attention and consideration required for the disabled, socially weak people. This research implied that despite the changing times of looking at disability, three newspapers are still staying in the traditional paradigm. Therefore, It is required that viewing a disability from the perspective on disabled people, and a mature awareness that recognizes the diversity of individual needs. The significance of this study can be found in the fact that no attempt has been made to treat the disability perspectivec in newspaper articles as quantitative and qualitative data.