• Title/Summary/Keyword: Semantic association

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Mothers' Experiences on Early Childhood English Education for Their Children (유아기 자녀의 영어교육에 대한 어머니들의 경험)

  • Yong, Se-Hyun;Lee, Sung-Hee
    • The Journal of the Korea Contents Association
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    • v.18 no.12
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    • pp.14-24
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    • 2018
  • The purpose of this study was to understand deeply the current circumstances of parents who took part in child-English Education through semantic analysis about 11 mothers' and their children's experiences in the individual depth interviews and group interviews. The obtained results of this study were as follows: First, mothers started their children's English education on the basis of the belief that English ability is an essential asset in the era of globalization, their experiences and the scheduled situation. Also they positively recognized the effect of English education when they could feel their children's learning improvements. Second, participants had experienced their children's education stress and economic burden. Third, participants had personal, social level desires for their children's proper English education. Through this study, it revealed the critical introspection about mothers' experiences and desires in child-English Education. And it alluded to necessity about continuous attention and debate in child-English Education.

Analysis on Topics in Soundscape Research based on Topic Modeling (토픽 모델링을 이용한 사운드스케이프 연구 주제어 분석)

  • Choe, Sou-Hwan
    • The Journal of the Korea Contents Association
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    • v.19 no.7
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    • pp.427-435
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    • 2019
  • Soundscape provides important resources to understand social and cultural aspects of our society, however, it is still its infancy to study on the research framework to record, conserve, categorize, and analyze soundscapes. Topic modeling is an automatic approach to discover hidden themes that are disperse in unstructured documents, thus topic modeling is robust enough to find latent topics such as research trends behind a collection of documents. The purpose of this paper is to discover topics on current soundscape research based on topic modeling, furthermore, to discuss the possibilities to design a metadata system for sound archives and to improve Soundscape Ontology which is currently developing.

A study on the visual image of men's suit (남성 정장 수트의 시각적 이미지에 관한 연구)

  • Kim, Jeong-Mee
    • Journal of the Korea Fashion and Costume Design Association
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    • v.23 no.1
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    • pp.113-127
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    • 2021
  • This study aims to analyze the style of men's suits and extract expressional words for the development of semantic differential scales of visual images according to the change in silhouette. Research methods are literature studies, case studies, and questionnaires. The stimuli were created using CLO 3D, a virtual sewing CAD. This study's results are as follows: 1) The British suit jacket has an angled shoulder line using thin pads, and a slightly higher waistline. The pants of the suit have a high waistline and two pleats, so the thighs of the pants are wide. The American suit jacket has a natural shoulder line, and the waistline is not emphasized. The width of the jacket is relaxed, and the length is long. The pants of the suit have a higher waistline, and the pants are wide as well. The Italian suit jacket has wide shoulders, and the waistline is connected lower with a soft curve, and the length is relatively short. The trousers of the suit are tapered and get narrower as it goes down to the hem. 2) Because it originated in the practices of true bespoke tailoring, traditional British suits have a far more 'fitted' silhouette than the mass-produced styles that became emblematic of the American style. By the late 1950s, a sack-style suit was standard American business attire. This technique gives the sack suit its characteristically 'boxy' silhouette. The "Continental" presented a highly tailored silhouette, with padded shoulders, a slim, tight-fitting chest, and a closely tapered waist. The story was that Italian culture valued aesthetics over all else and thus sought the 'slim' suit style as much as possible. 3) The main expressional words of visual images for men's suits differ greatly depending on the silhouette of suit. The visual images are ranked in the order of 'neat', 'classic', 'educated', 'hard', 'mature', for fitted silhouettes. The words of 'masculine', 'basic', 'comfortable', 'simple', 'mature', 'conservative', 'modern', are ranked for boxy silhouettes. And the words of 'slim', 'young', 'neat', are noted for slim silhouettes.

Analysis of changes in artificial intelligence image of elementary school students applying cognitive modeling-based artificial intelligence education program (인지 모델링기반 인공지능 교육 프로그램을 적용한 초등학생의 인공지능 이미지 변화 분석)

  • Kim, Tae-ryeong;Han, Sun-gwan
    • Journal of The Korean Association of Information Education
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    • v.24 no.6
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    • pp.573-584
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    • 2020
  • This study is about the development of AI algorithm education program using cognition modeling to positively improve students' image on AI. First, we analyzed the concept of user-based collaborative filtering and developed the education program using the cognition modeling method. We checked the adequacy of program through the expert validity test. Both CVR values for the content development method of cognitive modeling and the developed program showed validity above .80. We applied the developed program to elementary school students in class. The test was conducted using a semantic discrimination to examine changes in students' perception of artificial intelligence before and after. We were able to confirm that the students' AI images were significant positive change in 12 of the 23 words in the adjective pair.

A Study on the Use and Meaning of the '心' Letter in 『Hwangjenaegyeog』 (『황제내경(黃帝內經)』에서 사용된 '심(心)'자(字)의 용례 분석 연구)

  • Bak, Jae-Yong
    • The Journal of the Korea Contents Association
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    • v.21 no.5
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    • pp.824-836
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    • 2021
  • In this study, the use of '心' letter used in classic Chinese book of 『Hwangjenaegyeog』 and its meaning was examined. In Chinese letters, '肉' is a sign that symbolizes the body. The letters '肝', '脾', '肺', and '腎' expressing the five human organs all contain the form of '肉'. So they don't cause semantic confusion. However, the Chinese letter that means heart and mind are written as '心'. As a result, it is difficult to understand the meaning of '心'. In addition, the contents of 『Hwangjenaegyeog』 cover various fields from disease to astronomy. For this reason, a total of 286 '心' letters used in it have various meanings. The results of this study are as follows. First, it means human heart. Second, it means the human chest. Third, it refers to mind. Fourth, it means a transcendent concept like spiritual enlightenment. Fifth, it refers to pericardium. Sixth, it refers to logical thought Seventh, it means center or core, and finally does constellation. in the eastern sky of ancient Asia. The results of this study are thought to be helpful in grasping the meaning of '心' in the classical literature as well as in 『hwangjenaegyeonglyeongchu』.

Strategies for the Implementation of Cultural Heritage Night Travel Program Using Cognitive Inspection (인지시학을 적용한 문화재 야행(夜行) 프로그램 구현 전략)

  • Park, Seong-Ho
    • The Journal of the Korea Contents Association
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    • v.22 no.10
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    • pp.103-113
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    • 2022
  • As globalization progresses and localization takes place, interest in local culture is increasing. In line with this trend, the Cultural Heritage Administration has been promoting the Cultural Heritage Night Tour Project as a night-type cultural property tourism content since 2016. Cultural property nightlife, part of the regional regeneration project, creates new added value by converging and combining various historical and cultural-related contents centered on local cultural heritage. Although the "cultural nightlife" has been greatly activated, it is judged that changes are needed to continue. This is because fixed nightlife programs are positive in terms of establishing a nationwide network, but there is a limitation in that they cannot be standardized and expanded to various forms. Therefore, in this study, the meaning and limitations of nightlife programs were identified, and cognitive theory applicable to nightlife programs was considered. Through this process, it was confirmed that cognitive poetry's 'circular for dynamic semantic composition', 'surreal foreground', and 'adventures in time and space' can be applied to nightlife programs. As a result of combining cognitive poetry with nightlife programs, it was possible to present a strategy for implementing nightlife programs differentiated from existing nightlife programs.

Big Data Analysis on Daegu-Gyeongbuk Administrative Integration (대구·경북 행정통합에 대한 빅데이터 분석)

  • Song, Hwa Young;Park, Han Woo
    • The Journal of the Korea Contents Association
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    • v.21 no.5
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    • pp.139-148
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    • 2021
  • The study examines public attitude and reaction regarding administrative integration in Daegu and Gyeongbuk area. Specifically, it employs social big data including textual comments on online news articles and YouTube video clips. The collected data are analyzed in order to compare two periods, that is, before and after the inauguration of the Public Opinion Committee for One Daegu-Gyeongbuk. As a result, we have found that people's favorable response to administrative integration has gradually increased since the launch of the Committee. However, it still lacks specific administrative procedures and discussion topics among the frequently used words in the collected data. Thus, the Committee needs to provide a variety of information and materials related to administrative integration.

Exploring the Issue Structure of Drone Crime in Newspaper Articles: Focusing on Language Network Analysis (신문 기사에서의 드론 범죄 관련 이슈구조 탐색: 언어 네트워크 분석을 중심으로)

  • Park, Hee-Young;Lee, Soo-Bum
    • The Journal of the Korea Contents Association
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    • v.21 no.11
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    • pp.20-29
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    • 2021
  • This study aims to explore the issue of drones and crime in newspaper articles. BIG KINDS, an online news archive of the Korea Press Foundation, collected 1,213 newspaper articles that met the terms of "drone" and "crime" in 11 central and 28 regional comprehensive newspapers between January 1, 1990 and May 1, 2021. Among them, we perform keyword frequency, centrality analysis, network structure construction, CONCOR analysis, and density matrix analysis on 117 key keywords. According to the analysis, the main issues were classified into eight, and the report analysis on drones and crimes in newspaper articles showed that the government's policy-making and social problems on protecting people's privacy, preventing illegal filming, securing navigation safety, social security and resolution. This study attempts to expand the field of humanities and social studies related to drones and crime, and specifically suggests the current status and counterplan against drone-related crimes as policy implications and media implications.

A Study on the Perception of Artificial Intelligence Literacy and Artificial Intelligence Convergence Education Using Text Mining Analysis Techniques (텍스트 마이닝 분석기법을 활용한 인공지능 리터러시 및 인공지능 융합 교육에 관한 인식 연구)

  • Hyeok Yun;Jeongrang Kim
    • Journal of The Korean Association of Information Education
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    • v.26 no.6
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    • pp.553-566
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    • 2022
  • This study collects social data and academic research data from portal sites and RISS, and analyzes TF-IDF, N-Gram, semantic network analysis, and CONCOR analysis to analyze the social awareness and current aspects of 'AI Literacy' and 'AI Convergence Education'. Through this, we tried to understand the social awareness aspect and the current situation, and to suggest implications and directions. In the social data, the collection of 'AI Convergence Education' was more than twice that of 'AI Literacy', indicating that awareness of 'AI Literacy' was relatively low. In 'AI Literacy', the keyword 'human' in social data showed no cluster to which it belonged, indicating a lack of philosophical interest in and awareness of humanities and AI. In addition, the keyword 'Ministry of Education' showed high frequency, importance, and centrality of connection only in the social data of 'AI convergence education', confirming that 'AI convergence education' is closely related to government policy.

Semantic analysis of unstructured information considering the step in progress of water quality accidents in the water supply systems (상수도시스템 수질사고의 전개양상을 고려한 비정형정보 의미분석)

  • Hong, Sungjin;Moon, Gihoon;Yang, Seong Hun;Yoo, Do Guen
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.378-378
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    • 2022
  • 상수도시스템의 과정 중 최종 단계인 급수단계에서 지역전반에 수질문제가 발생할 경우, 직간접적인 피해의 해결은 장기간 지속될 수 있다. 본 연구에서는 실시간 비정형정보의 빅데이터 분석을 통해 상수도시스템에서 수질사고 문제의 파급력과 2차 피해 등의 연결 관계 변화 추적을 위한 기초적 분석을 수행하였다. 과거 대규모 수질사고가 발생된 바 있는 인천광역시 유충발생 사고를 대상으로 뉴스 기사 웹크롤링 절차를 정립하고, 그 결과를 분석하였다. '인천 유충'이 최초 보도되었던 2020년 7월 13일 부터 이후 1년을 대상으로 네이버 통합검색에 의해 표출되는 뉴스기사를 웹크롤링하였으며, 프로그래밍을 통한 불용어 제거 및 관련성 검토를 통해 총 920건의 기사를 분석하였다. 수질사고의 전개양상에 따라 사고발생, 확산, 수습, 그리고 보상의 4단계로 임의 구분하여 분석하였다. 의미분석을 위한 토픽모델링 기법은 잠재 디리클레 할당(Latent Dirichlet Allocation, LDA) 방법을 적용하였으며, 긍부정 감정분석은 KNU 한국어 감성사전(KNU sentiment lexicon)을 활용하여 수행하였다. 토픽 모델링 결과, 사고 발생에서부터 확산, 수습, 보상의 단계에 맞춰 적절한 주제어의 조합에 따른 기사들이 도출되었으며, 단계별 긍부정 기사 비율역시 사고의 전개단계에 따라 적절히 나타남을 확인하였다. 제시된 수질사고 관련 비정형정보 분석 방법론과 결과는 과거 사고 사례 분석을 통한 검색 및 긍부정 키워드 확정, 키워드 발생 비율 변동(사고전과 후)에 따른 상황판단 기준설정 등에 활용이 가능하다.

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