• Title/Summary/Keyword: 텍스트 연구

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A Study on Construction of Digital Museum Archiving Regarding Dance Costume (무용공연작품 의상을 위한 디지털 뮤지엄 아카이빙 구축)

  • Jeong, Yu-Jin;Yoo, Ji-Young;Baek, Hyun-Soon
    • Journal of Korea Entertainment Industry Association
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    • v.13 no.1
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    • pp.81-88
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    • 2019
  • This article aims to identify the characters and theme shown in dance costume and utilize them from an educational perspective by constructing digital museum archiving, which can be systematically collected, classified and stored from dance costume. It deals with definition of digital museum archiving as theoretical background and examples of how to create digital museum archiving as research content. The role that archiving plays in digital museum and effectiveness have been demonstrated. Archive is a term used to indicate extensive material and its storage and referred to as an integrative model of display in the computer-generated space. When it comes to producing dance costume as a form of digital museum, the museum is to be made in the computer-generated area of dance costume. The museum shows each division of major, medium and minor classification. The major classification divides genre of dance performance into Korean dance, modern dance and ballet. The middle involves choreographers, costume designers. The minor categorization includes newspaper, interviews, performance pictures, and programs. Digital museum has the value of space utilization, creation, culture, utilization of multiple educational programs, offering of digital museum content, two-way communication, and program development of the new display form.

A Study on Popular Sentiment for Generation MZ: Through social media (SNS) sentiment analysis (MZ세대에 대한 대중감성 연구: 소셜미디어(SNS) 감성 분석을 통해)

  • Myung-suk Ann
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.19-26
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    • 2023
  • In this study, the public sensitivity of the 'MZ generation' was examined through the social media big data sensitivity analysis method. For the analysis, the consumer account SNS text was examined, and positive and negative emotional factors were presented by classifying external sensibilities and emotions of the MZ generation. In conclusion, the positive emotions of liking and interest in relation to the "MZ generation" were 72.1%, higher than the negative emotional ratio of 27.9%. In positive sensitivity, the older generation showed 'a favorable feeling for the individuality and dignifiedness of the MZ generation' and 'interest in the MZ generation with new values'. In contrast, the MZ generation has a favorable feeling for 'the fact that they are a generation of their own boldness, youthfulness and individuality' and 'small growthism'. Negative sensitivity outside the MZ generation was found to be 'A concern about the marriage avoidance, employment difficulties, debt investment, and resignation trends of the MZ generation', 'Hate the MZ generation who treats Kkondae' and 'Difficult to talk to the MZ generation'. On the other hand, the negative emotions felt by the MZ generation itself were 'Rejection of generalization', 'Rejection of generation and gender conflicts', 'Rejection of competition worse than the older generation', 'Relative failure of the rich era', and 'Sadness to live in a predicted climate disaster'. Therefore, the older generation should not look at the MZ generation in general, but as individuals, and should alleviate conflicts with intergenerational understanding and empathy. there is a need for community consideration to solve generational conflicts, gender conflicts, and environmental problems.

Deep learning-based speech recognition for Korean elderly speech data including dementia patients (치매 환자를 포함한 한국 노인 음성 데이터 딥러닝 기반 음성인식)

  • Jeonghyeon Mun;Joonseo Kang;Kiwoong Kim;Jongbin Bae;Hyeonjun Lee;Changwon Lim
    • The Korean Journal of Applied Statistics
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    • v.36 no.1
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    • pp.33-48
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    • 2023
  • In this paper we consider automatic speech recognition (ASR) for Korean speech data in which elderly persons randomly speak a sequence of words such as animals and vegetables for one minute. Most of the speakers are over 60 years old and some of them are dementia patients. The goal is to compare deep-learning based ASR models for such data and to find models with good performance. ASR is a technology that can recognize spoken words and convert them into written text by computers. Recently, many deep-learning models with good performance have been developed for ASR. Training data for such models are mostly composed of the form of sentences. Furthermore, the speakers in the data should be able to pronounce accurately in most cases. However, in our data, most of the speakers are over the age of 60 and often have incorrect pronunciation. Also, it is Korean speech data in which speakers randomly say series of words, not sentences, for one minute. Therefore, pre-trained models based on typical training data may not be suitable for our data, and hence we train deep-learning based ASR models from scratch using our data. We also apply some data augmentation methods due to small data size.

Water leakage accident analysis of water supply networks using big data analysis technique (R기반 빅데이터 분석기법을 활용한 상수도시스템 누수사고 분석)

  • Hong, Sung-Jin;Yoo, Do-Guen
    • Journal of Korea Water Resources Association
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    • v.55 no.spc1
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    • pp.1261-1270
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    • 2022
  • The purpose of this study is to collect and analyze information related to water leaks that cannot be easily accessed, and utilized by using the news search results that people can easily access. We applied a web crawling technique for extracting big data news on water leakage accidents in the water supply system and presented an algorithm in a procedural way to obtain accurate leak accident news. In addition, a data analysis technique suitable for water leakage accident information analysis was developed so that additional information such as the date and time of occurrence, cause of occurrence, location of occurrence, damaged facilities, damage effect. The primary goal of value extraction through big data-based leak analysis proposed in this study is to extract a meaningful value through comparison with the existing waterworks statistical results. In addition, the proposed method can be used to effectively respond to consumers or determine the service level of water supply networks. In other words, the presentation of such analysis results suggests the need to inform the public of information such as accidents a little more, and can be used in conjunction to prepare a radio wave and response system that can quickly respond in case of an accident.

Detecting Weak Signals for Carbon Neutrality Technology using Text Mining of Web News (탄소중립 기술의 미래신호 탐색연구: 국내 뉴스 기사 텍스트데이터를 중심으로)

  • Jisong Jeong;Seungkook Roh
    • Journal of Industrial Convergence
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    • v.21 no.5
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    • pp.1-13
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    • 2023
  • Carbon neutrality is the concept of reducing greenhouse gases emitted by human activities and making actual emissions zero through removal of remaining gases. It is also called "Net-Zero" and "carbon zero". Korea has declared a "2050 Carbon Neutrality policy" to cope with the climate change crisis. Various carbon reduction legislative processes are underway. Since carbon neutrality requires changes in industrial technology, it is important to prepare a system for carbon zero. This paper aims to understand the status and trends of global carbon neutrality technology. Therefore, ROK's web platform "www.naver.com." was selected as the data collection scope. Korean online articles related to carbon neutrality were collected. Carbon neutrality technology trends were analyzed by future signal methodology and Word2Vec algorithm which is a neural network deep learning technology. As a result, technology advancement in the steel and petrochemical sectors, which are carbon over-release industries, was required. Investment feasibility in the electric vehicle sector and technology advancement were on the rise. It seems that the government's support for carbon neutrality and the creation of global technology infrastructure should be supported. In addition, it is urgent to cultivate human resources, and possible to confirm the need to prepare support policies for carbon neutrality.

6G Technology Competitiveness and Network Analysis: Focusing on GaN Integrated Circuit Patent Data (6G의 기술경쟁력 및 네트워크 분석: GaN 집적회로 특허 데이터 중심)

  • Woo-Seok Choi;Jin-Yong Kim;Jung-Hwan Lee;Sang-Hyun Choi
    • Journal of Industrial Convergence
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    • v.21 no.3
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    • pp.1-15
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    • 2023
  • Expectations for wireless communication technology are rising as a base technology that promotes innovation in various industries in line with the paradigm of digital transformation in the 21st century beyond the stage of being used only for communication service itself. In this study, in order to compare 6G technological competitiveness between Korea and leading countries, technological competitiveness was confirmed through PFS, CPP, and network analysis based on GaN Integrated Circuit patent data. Korea's 6G technological competitiveness was 0.62 in PFS and 3.93 in CPP, which were 32.8% and 19.9%, respectively, compared to leading countries. In addition, as a result of network analysis, the collaboration rate in the 6G field was 7.2%, and the collaboration ecosystem was very insufficient in most countries. In contrast, it was confirmed that Korea, unlike leading countries, has established a small-scale collaboration ecosystem linked by industry and academia. Thus, it is necessary to establish a strategy for 6G communication technology at the national level so that communication technology can be advanced based on a relatively well-established collaborative ecosystem.

Suitable clothing recommendation system by size and skin color (의류 사이즈별 및 피부톤에 기반을 둔 의류 추천 시스템)

  • Park, Chang-Young;Lim, Byeong-Chan;Lee, Won-Joon;Lee, Chang-Su;Kim, Min-Su;Lee, Sang-Yong
    • Journal of Digital Convergence
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    • v.20 no.3
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    • pp.407-413
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    • 2022
  • Existing clothing recommendation systems remain at the level of showing appropriate photos when a user selects a type of clothing he or she likes after entering his or her own body size or body size. When a user purchases clothing using such recommendation systems, there are many cases in which it does not fit or does not fit the user's body size. In this study, to solve these problems of existing clothing recommendation systems, a system was implemented in which the user receives not only size but also skin tone and recommends clothing suitable for the user's body size as well as skin tone. In this system, clothing size information obtained through web crawling was periodically stored in a database for eight male tops to recommend clothing, and the entire pixel of the clothing image was analyzed to extract color text values. In order to confirm the performance of this system, a survey was conducted on 100 male college students, and the satisfaction level was 70%. Most of the reasons for not being satisfied are that the recommended clothing is limited, so it is judged that it is necessary to expand the target clothing in the future.

The Construction and Mechanism of the 'Byeongmat' Discourse ('병맛' 담론의 형성과 담론의 작동방식)

  • Park, Jae-Yeon
    • Journal of Popular Narrative
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    • v.25 no.3
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    • pp.143-180
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    • 2019
  • This article aims to examine the manner in which the 'Byeongmat' discourse was constructed, and the mechanism of the 'Byeongmat' discourse. I claim that the constructed discourse excludes disabled persons and women. When the 'Byeongmat' first appeared in the mainstream, it was understood as being presented only by webtoons. Furthermore 'Byeongmat' and webtoons were understood as almost synonymous. In this sense, it is no exaggeration to say that the way in which the 'Byeongmat' discourse was constructed is the way in which 'Byeongmat webtoons' were interpreted. In this article, to find out how the 'Byeongmat' discourse was constructed, I examine two things. First, the reception of media of 'Byeongmat'. 'Byeongmat' was at first understood as 'kitsch' by the media, but soon after generational meaning was added. Second, the interpretation of 'Byeongmat' in academia. In academia, the 'Byeongmat' discourse is advanced as a refined generationalism. Regardless of the 'Byeongmat webtoon' itself, 'Byeongmat webtoon' is interpreted as a text which is destructing narrative and filled with parodies. Furthermore this characteristic of the 'Byeongmat webtoon' is interpreted as a resistance culture of the younger generation. However, this interpretation serves as a mechanism which excludes the disabled and women. Currently, Korean society faces the popularization of the 'Byeongmat' code, the decline of the 'Byeongmat webtoons' and the crack of the younger generation discourse. The current situation allows the 'Byeongmat' discourse to be criticized without losing its social context while securing a distance of critcism. I expect that this article can contribute to further diversifying interpretations of 'Byeongmat' and 'Byeongmat webtoons', and accelerating the crack on the younger generation discourse.

The Chronotope of Medical Drama (메디컬 드라마의 크로노토프)

  • Won, Yong-Jin;Lee, Jun-Hyung;Park, Seo-Yeon;Lim, Cho-Yi
    • Journal of Popular Narrative
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    • v.25 no.2
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    • pp.169-216
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    • 2019
  • This study proposes the concept of Bachchin's Chronotope as a tool for analyzing coevolution between the genre of the epic and society. Bachchin says through the concept of chronotope, literary works are on the foundation on which the axs of time and space intersect, and the literary works standsuch intersections are always conversing with social and historical chronotopes and mutually penetrating. Thus, finding and analyzing chronotope in literary works and extended things such as films and dramas reveals how chronotope and chronotope of a society have created specific social realities through a process of resonance. To make analytical use of this concept, we proposed a "cronotope drama analysis method" and concretely analyzed the genre of Korean medical dramas. The naturalized categories of health care, health, and disease are socially constructed entities, and the analysis of public works that has a significant impact on this process of social construction is essential but was underperformed. According to the analysis, the Korean medical drama's "Chronotope" has evolved using "Chronotope of the school" and "Chronotope of the secret chamber". At this time, the genre of Chronotope was expanding spatially and converging in time. In other words, the influence of structures and systems within the genre has grown, and the capacity of individual actors has decreased. This change in chronotope was interpreted as resonating with the social reality of neo-liberalistic spatial expansion and simultaneous production. The neo-liberalistic trend that dominates Korean society has embraced the category of health care and was further influencing the chronotope of drama text. It can also be inferred that the popular understanding of health care produced by the medical drama genre has taken a break in the process of forming a social reality of health care again.

A Study on the user attributes for acquisition of information by analyzing the durability of real-time issues (실시간 이슈의 지속성 분석을 통한 사용자 정보 습득에 대한 특성과 패턴에 대한 연구)

  • Oh, Junyep;Lee, Seungkyu;Lee, Jooyoup
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.4
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    • pp.299-314
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    • 2017
  • Technological advances in media have expanded users' consciousness. At the same time, users have changed from passive into active voice by interacting media. The emergence of mobile made different structures and contents compared to the past. Especially, Korean culture of mobile converted original media channels to contents in a category. Plus, the usage structure of internet of this time converges in massive portal sites. It is because that the structure has aspect of emitting through remediation in the sites. Also, Korean massive portal sites have provided specific service named 'real-time issues'. This is not only the unique way of offering information that exists in Korea but also high usability of getting issues. We therefore considered the meaning of durability of real-time issues in the view of journalism, compared original media channels. Then, this paper identified the user attributes for acquisition of information following ways using informal and formal data from Korean massive portal sites named 'Daum' and 'Naver'.