• Title/Summary/Keyword: 텍스트 연구

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Text Analysis on the Research Trends of Nature Restoration in Korea (텍스트 분석을 활용한 국내 자연환경복원 연구동향 분석)

  • Lee, Gil-sang;Jung, Yee-rim;Song, Young-keun;Lee, Sang-hyuk;Son, Seung-Woo
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.27 no.2
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    • pp.29-42
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    • 2024
  • As a global response to climate and biodiversity challenges, there is an emphasis on the conservation and restoration of ecosystems that can simultaneously reduce carbon emissions and enhance biodiversity. This study comprised a text analysis and keyword extraction of 1,100 research papers addressing nature restoration in Korea, aiming to provide a quantative and systematic evaluation of domestic research trends in this field. To discern the major research topics of these papers, topic modeling was applied and correlations were established through network analysis. Research on nature restoration exhibited a mainly upward trend in 2002-2022 but with a slight recent decline. The most common keywords were "species," "forest," and "water". Research topics were broadly classified into (1) predictions of habitat size and species distribution, (2) the conservation and utilization of natural resources in urban areas, (3) ecosystems and landscape managements in protected areas, (4) the planting and growth of vegetation, and (5) habitat formation methods. The number of studies on nature restoration are increasing across various domains in Korea, with each domain experiencing professional development.

Secure Coding for SQL Injection Prevention Using Generative AI

  • Young-Bok Cho
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.9
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    • pp.61-68
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    • 2024
  • In this paper, Generative AI is a technology that creates various forms of content such as text, images, and music, and is being utilized across different fields. In the security sector, generative AI is poised to open up new possibilities in various areas including security vulnerability analysis, malware detection and analysis, and the creation and improvement of security policies. This paper presents a guide for identifying vulnerabilities and secure coding using ChatGPT for security vulnerability analysis and prediction, considering the application of generative AI in the security domain. While generative AI offers innovative possibilities in the security field, it is essential to continuously pursue research and development to ensure safe and effective utilization of generative AI through in-depth consideration of ethical and legal issues accompanying technological advancements.

Improvement of topic modeling and case analysis through convergence of Bertopic and TextRank (버토픽과 텍스트랭크의 융합을 통한 토픽모델링의 개선 및 사례 분석)

  • Kim, Keun Hyung;Kang Jae Jung
    • The Journal of Information Systems
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    • v.33 no.3
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    • pp.105-121
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    • 2024
  • Purpose The purpose of this paper is to develop a method to improve topic representation by incorporating the TextRank technique in Bertopic-based topic modeling and additional indicators for determining the optimal number of topics. Design/methodology/approach In this paper, we propose a method to extract important documents from documents assigned to each topic of a topic model using the TextRank technique, and to calculate secondary diversity and generate topic representations based on the results. First, we integrate the TextRank algorithm into the Bertopic-based topic modeling process to set local secondary labels for each topic. The secondary labels of each topic are derived through extractive summarization based on the TextRank algorithm. Second, we improve the accuracy of selecting the optimal number of topics by calculating the secondary diversity index based on the extractive summary results of each topic. Third, we improve the efficiency by utilizing ChatGPT when deriving the labels of each topic. Findings As a result of performing case analysis and analysis evaluation using the proposed method, it was confirmed that topic representation based on TextRank results generated more accurate topic labels and that the secondary diversity index was a more effective index for determining the optimal number of topics.

Analysis of Domestic Research Trends in Early Childhood Creativity Education Using Text Mining (텍스트 마이닝을 활용한 유아 창의성 교육 국내 연구동향 분석)

  • Anna Han;Heesook Hwang
    • Korean Journal of Childcare and Education
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    • v.20 no.4
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    • pp.59-76
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    • 2024
  • Objective: The purpose of this study is to explore research trends in creativity education for Korean children using term-frequency analysis, semantic network analysis, and topic analysis within text mining techniques. Methods: For this purpose, keywords were extracted from 802 articles published in KCI-listed journals from 2001 to 2022, using Textom. Results: This results showed that, first, words such as 'young children', 'creativity', 'activity', 'program', 'creative', 'test', 'education', and 'effectiveness' consistently appeared among the top 30 most frequent terms across all periods. Second, semantic network analysis revealed that while words like 'young children', 'creativity', 'activity', and 'program' consistently exhibited high centrality, there were notable changes in the centrality of 'test' over time, including a decrease in its centrality and varying influential words across different periods. Third, three to four topics were identified for each period, with common themes such as the effectiveness of programs to promote creativity in early childhood education, alongside period-specific topics like giftedness and play, highlighting the unique characteristics of each time period. Conclusion/Implications: This study provides insights into the research trends in early childhood creativity education over the past 22 years using text mining techniques and offers suggestions for future research directions.

Analysis of ICT skills for problem solving : learning functional & logical abilities in context for pre-service students (문제해결을 위한 ICT 활용 능력 분석 : 문맥 속에서 대학생의 기능 및 논리 능력 학습하기)

  • Lee, Hwa-Hyeon;Im, Yeon-Wook;Lee, Ok-Hwa
    • The Journal of Korean Association of Computer Education
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    • v.9 no.3
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    • pp.85-96
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    • 2006
  • This study analyzes a phenomenon observed in the problem-solving process using ICT that field learners prioritize functional and logical fields. The purpose of this study is to anticipate the future direction of education utilizing ICT and to explore what effort is needed to increase balanced ability of utilizing ICT in the area of education. To analyze the patterns of ICT usage in education, students were asked to solve the problems including functional and logical requests by using the program of framing document. That results were marked in accordance with standards framed in both functional and logical fields. As a result, students utilized the ICT functional field more than logical one. Therefore, we confirm learning through ICT is more effective on functional sides than on logical sides. We also confirm the excellency of ICT's functional sides in such variables as major, grade, computer capability and qualification, etc.

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A Review Study of Biosensors applicable to Wellness Wear (웰니스 의류에 적용 가능한 바이오센서 동향 연구)

  • Kim, Hyo-Jin
    • Journal of Digital Convergence
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    • v.15 no.11
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    • pp.231-243
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    • 2017
  • This paper provides a review of the electrical sensing biosensors and examine research cases of biosensors based on clothing and textiels. A biosensor which can measure bio-signals is a device that senses the physical and chemical characteristics of biological materials by using biological sensing materials. Therefore, wellness wear that is closely integrated with the user's real life will play an important role in achieving U-Health. The biosensors' unique feature which can be differentiated from the existing sensors is it's using of selective reactions and binding of biological substances. The electrical sensing biosensors are very small in size due to the processing of electrical signals, which can be used to create ubiquitous. Therefore, it is necessary to study electrical sensing biosensors that are easy to miniaturize to develop wellness wear. This paper describes the electrical sensing biosensor (an electrochemical method nanowire/carbon nanotube FET method) in detail. Finally, the future direction of biosensors to be applied to wellness wear is suggested.

A Study on the User Experience of Smartphone Camera Application (스마트 폰 카메라 애플리케이션의 사용자 경험 연구)

  • Kim, Eung-Cheol;Kim, Seung-In
    • Journal of the Korea Convergence Society
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    • v.8 no.12
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    • pp.221-226
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    • 2017
  • This study investigates the user experience about the camera application and the operation environment that share the photographed pictures with the SNS in a smartphone user environment which is a necessity of modern people. To do this, 10 task tasks were selected based on 3 aspects such as manipulation, editing, and sharing, and the task execution time was measured after tasks were performed on 8 persons, 4 persons in 20s. Experiments conducted mainly on Samsung Experience 8 and LG UX 6.0, which are representative user interfaces of Android mobile operating system, showed that there are differences in usability between the three interfaces for each interface. In the course of the experiment, all of the subjects mentioned ease of operation and various functions as advantages. However, the complexity of text-based interfaces has been difficult to use because of the variety of functions that can be set up. Future research will be needed to improve the usability of camera applications by user interface.

Application and Effect of Remediation in Web Design (웹 디자인에서의 리미디에이션의 활용과 효용)

  • 서현석;서종환
    • Archives of design research
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    • v.17 no.2
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    • pp.113-122
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    • 2004
  • Modern society came to enjoy dramatically advanced information technologies by the digitalization of New Media with the improvement of communication technologies and interaction between various information system and technologies. New service by web, not only text but image, audio and moving image have opened new experience possible for us. The development was possible because the web has characteristics of media making Remediation of various media possible. The web has remediated newspaper, magazines, TV, audio, movie by taking them, competing with them, attacking them and absorbing them. As a result, now we can enjoy various characteristics of different media at the Web. This study is to look into the effectiveness of Remediation at web design through various case studies. This study also is to seek more effective methods of expressions in the web and future improvement direction.

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Design and Implementation of Scalable VOD System on Linux (Linux상에서 확장 가능한 VOD시스템의 설계 및 구현)

  • 김정원;김인환;정기동
    • Journal of Korea Multimedia Society
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    • v.2 no.3
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    • pp.265-276
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    • 1999
  • Video on Demand (VOD) system is definitely one of main applications in upcoming multimedia era. In this research, we have designed and implemented a host-based scalable VOD system (SVOD) which is composed of low cost PC servers and runs on Linux kernel that is currently spotlighted in enterprise and research domains. Our contribution is as follows: first, the previous Ext2 file system was modified to efficiently support continuous media like MPEG stream. Second, the storage server features a host-based scalable architecture. Third, a software MPEG decoder was implemented using Microsoft's DirectShow$\circledR$COM. Finally, flow control between client and server is provided to suppress overflow and underflow of client circular buffer and supports FF VCR operation. We have known that it is possible to develop a thread-based and scalable VOD system on low cost PC servers and free Linux kernel.

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Aspects of Language Use in Newspaper Articles: A Corpus Linguistic Perspective (신문 기사의 언어 사용 양상: 코퍼스언어학적 접근)

  • Song, Kyung-Hwa;Kang, Beom-Mo
    • Korean Journal of Cognitive Science
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    • v.17 no.4
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    • pp.255-269
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    • 2006
  • The purpose of this study is to analyze newspaper articles from corpus linguistic point of view. We used a large corpus of newspaper articles built from <21st century Sejong Project> and counted occurrences of certain expressions. A newspaper article is divided into the headline, the lead and the body. We tried to figure out how to measure the characteristics of indication and compression which are typical to headlines. Then, we focused on the differences between the headline and the lead. finally, we analyzed the sentence structure and measured the ratio of the frequency of common nouns in the body. This study verifies the existing stylistic theories of newspapers and shows new aspects of language use in newspaper articles. Texts like newspaper articles are the results of human language processing and they in turn affect the development of cognitive ability of language.

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