• Title/Summary/Keyword: big data

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Analysis of Borrows Demand for Books in Public Libraries Considering Cultural Characteristics (문화적 특성을 고려한 공공도서관 도서 대출수요 분석 : 대구광역시 시립도서관을 사례로)

  • Oh, Min-Ki;Kim, Kyung-Rae;Jeong, Won-Oong;Kim, Keun-Wook
    • Journal of Digital Convergence
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    • v.19 no.3
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    • pp.55-64
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    • 2021
  • Public libraries are a space where residents learn a wide range of knowledge and ideologies, and as they are directly connected to life, various related studies have been conducted. In most previous studies, variables such as population, traffic accessibility, and environment were found to be highly relevant to library use. In this study, it can be said that the difference from previous studies is that the book borrow demand and relevance were analyzed by reflecting the variables of cultural characteristics based on the book borrow history (1,820,407 cases) and member information (297,222 persons). As a result of the analysis, it was analyzed that as the increase in borrows for social science and literature books compared to technical science books, the demand for book borrows increased. In addition, various descriptive statistical analyzes were used to analyze the characteristics of library book borrow demand, and policy implications and limitations of the study were also presented based on the analysis results. and considering that cultural characteristics change depending on the location and time of day, it is believed that related research should be continued in the future.

An Investigation on Digital Humanities Research Trend by Analyzing the Papers of Digital Humanities Conferences (디지털 인문학 연구 동향 분석 - Digital Humanities 학술대회 논문을 중심으로 -)

  • Chung, EunKyung
    • Journal of the Korean Society for Library and Information Science
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    • v.55 no.1
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    • pp.393-413
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    • 2021
  • Digital humanities, which creates new and innovative knowledge through the combination of digital information technology and humanities research problems, can be seen as a representative multidisciplinary field of study. To investigate the intellectual structure of the digital humanities field, a network analysis of authors and keywords co-word was performed on a total of 441 papers in the last two years (2019, 2020) at the Digital Humanities Conference. As the results of the author and keyword analysis show, we can find out the active activities of Europe, North America, and Japanese and Chinese authors in East Asia. Through the co-author network, 11 dis-connected sub-networks are identified, which can be seen as a result of closed co-authoring activities. Through keyword analysis, 16 sub-subject areas are identified, which are machine learning, pedagogy, metadata, topic modeling, stylometry, cultural heritage, network, digital archive, natural language processing, digital library, twitter, drama, big data, neural network, virtual reality, and ethics. This results imply that a diver variety of digital information technologies are playing a major role in the digital humanities. In addition, keywords with high frequency can be classified into humanities-based keywords, digital information technology-based keywords, and convergence keywords. The dynamics of the growth and development of digital humanities can represented in these combinations of keywords.

A Research on the Parametric Design Method in Pre-Design Phase for BIM application (BIM 적용을 위한 기획설계 단계의 파라메트릭 디자인기법에 대한 연구)

  • Ha, Seung-Beom
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.1
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    • pp.92-98
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    • 2021
  • Modern society needs constantly the rationality and the efficiency, and this flow of the time has become the paradigm of the whole society. This paradigm has a large influence on the architectural design and industry. Modern technology represented by the development of digital instrument and Information Technology through internet has created and developed two big trend, Parametric Design and BIM(Building information Modeling) in the architectural design and industry. These technologies, though created for different reasons, have a lot of influence on the architectural design and industry for a common purpose such as efficiency and rationality across the boundaries. In this context, this research will be embodied through the example about how parametric design should be made in the beginning of pre-design phase for BIM application. This research aims to consider the design process of Walt Diseny Consert Hall, the work of Frank O. Ghery, a deconstructivism architect, and to embody the shape of National Nederlanden Building in Prague, the Czech Republic, using parametric design tool in pre-design phase. This research later aims to be used as the basic data that can be applied to the entire architectural industry from a planning and a detailed design to a construction for the ultimate BIM application beyond the range of parametric design in pre-design phase. Later, the plan using the parametric design algorithm and BIM application in construction document phase will be conducted.

Utilization of LFWD for Compaction Management of Embankment in Expressway Construction (고속도로 건설 시 성토부 다짐관리를 위한 LFWD의 활용성)

  • Park, Yangheum;Jang, Ilyoung;Do, Jongnam
    • Journal of the Korean GEO-environmental Society
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    • v.22 no.3
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    • pp.45-51
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    • 2021
  • The evaluation of the degree of compaction of the embankment area, which accounts for most of highway earthworks, is generally performed by a flat plate loading test. The plate loading test is a traditional test method and has high reliability in the field. However, as reaction force equipment must be carried out and it takes about 40 minutes per site during the test, there may be limitations in managing the entire expanse of earthworks. Meanwhile, in order to overcome this, the Ministry of Land, Infrastructure and Transport proposed a simple method of evaluating the level of compactness in the provisional guidelines for compaction management of the packaging infrastructure in 2010. However, it has not been utilized at the highway construction site until now, 10 years later. Therefore, this study attempted to verify the utility of the compaction evaluation method using LFWD (Light Falling Weight Deflectometer) of the impact loading method among the test methods suggested in the provisional guideline. To this end, the correlation was derived by conducting a plate loading test and an LFWD test for each site property and compaction degree. As a result of the test, there was no consistency of test data in the ground with a relative compaction of 80% or less. However, it was confirmed that the correlation has a tendency to increase beyond that. If the test method or test equipment is improved to ensure the consistency of the test values of the impact loading method in the future, it will play a big role in solving the blind spot for compaction management in the earthworks.

Perception and Attitude on Augmented Reality Smart Glass for Healthcare Convergence Simulation (증강현실(AR) 스마트글라스 보건의료 융합 시뮬레이션에 대한 인식 및 태도)

  • Lee, Youngho;Choi, Jongmyung;Yoon, Hyoseok;Kim, Sun Kyung
    • Journal of the Korea Convergence Society
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    • v.12 no.1
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    • pp.369-377
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    • 2021
  • Augmented reality smart-glass enables healthcare providers to use patient and their care related information without interference of workflow. In addition, augmented reality smart-glass simulation had advantages in improving competency via remote collaboration and real-time information sharing. This study investigated perception and attitude regarding augmented reality smart glass based healthcare simulation on three different groups of healthcare major students, computer major students, developers and faculties. Using convenience sampling method, data were obtained from 95 participants and statistical analysis were performed using SPSS 25.0. Developer and faculty group showed the highest scores, followed by healthcare major students. There was the high expectation on augmented reality smart-glass for skill acquisition and the high performance and big screen were essential features of device. The findings of this study revealed that differences between healthcare and computer major students exist and strategies to reduce those gaps are required to adopt augmented reality smart glass in healthcare settings.

A Study on the Conceptual Changes of Extra-solar Planet in University Students Using Text-Mining Techniques (텍스트마이닝을 활용한 대학생들의 외계행성 개념 변화 연구)

  • Han, Shin;Kim, Yong-Ki;Kim, Hyoungbum
    • Journal of the Korean Society of Earth Science Education
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    • v.13 no.3
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    • pp.305-316
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    • 2020
  • This study aimed to analyze the conception of an extra-solar planet perceived by university students. To conduct this, we developed an extra-solar planet education program and questionnaires which help to figure out changes between before and after the program, and then applied them to the targeted students. The results of the study are as follows. First, as to the conception of an extra-solar planet, participants understood it merely as a planet outside the solar system before they got training. However, they expanded it to the one revolving around a star that appears outside the solar system based on keywords after the training. Second, they gave brief responses regarding exploration strategies (e.g., observing the extra-solar planet by using the Doppler effect, dietary phenomenon, and gravitational lens) based on indirect experiences they encountered in the media. The responses indicated their lack of concept of the extra-solar planet exploration methods. However, their recognition of the extra-solar planet observation became concrete while students learned about the exploration of the extra-solar planet. Third, they were expanding the importance of the exoplanet observation simply beyond the discovery of extraterrestrial life to the creative process and research methods, including the solar system and the development of humanity. Fourth, they recognized that exoplanet education is necessary for curriculum as it will be able to bring about students' interest and curiosity as well as scientific knowledge if contents related to the extra-solar planet appear in the earth science curriculum.

A Study on the Current State of the Library's AI Service and the Service Provision Plan (도서관의 인공지능(AI) 서비스 현황 및 서비스 제공 방안에 관한 연구)

  • Kwak, Woojung;Noh, Younghee
    • Journal of Korean Library and Information Science Society
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    • v.52 no.1
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    • pp.155-178
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    • 2021
  • In the era of the 4th industrial revolution, public libraries need a strategy for promoting intelligent library services in order to actively respond to changes in the external environment such as artificial intelligence. Therefore, in this study, based on the concept of artificial intelligence and analysis of domestic and foreign artificial intelligence related trends, policies, and cases, we proposed the future direction of introduction and development of artificial intelligence services in the library. Currently, the library operates a reference information service that automatically provides answers through the introduction of artificial intelligence technologies such as deep learning and natural language processing, and develops a big data-based AI book recommendation and automatic book inspection system to increase business utilization and provide customized services for users. Has been provided. In the field of companies and industries, regardless of domestic and overseas, we are developing and servicing technologies based on autonomous driving using artificial intelligence, personal customization, etc., and providing optimal results by self-learning information using deep learning. It is developed in the form of an equation. Accordingly, in the future, libraries will utilize artificial intelligence to recommend personalized books based on the user's usage records, recommend reading and culture programs, and introduce real-time delivery services through transport methods such as autonomous drones and cars in the case of book delivery service. Service development should be promoted.

A Study on the Future Directions according to Analysis of Necessity of AI Education (AI교육의 필요성 분석에 따른 미래 방향 탐색)

  • Yoo, Inhwan;Kim, Wooyeol;Jeon, Jaecheon;Yu, Wonjin;Bae, Youngkwon
    • Journal of The Korean Association of Information Education
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    • v.24 no.5
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    • pp.423-431
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    • 2020
  • As artificial intelligence(AI) technology is advanced based on recent technological advances such as machine learning, big data, and machine learning, it is actively used in various fields and is emerging as the core of the future industry. Accordingly, Korea is laying the groundwork for future AI technology development and environment establishment, such as announcing the national AI strategy, and is developing various policies to foster AI talent in the field of education. However, although many people agree on the importance or necessity of AI, it can be said that there is insufficient consensus on specific needs. Looking at related studies, there are many differences in the direction of AI education content and methodology, because awareness of necessity becomes a prerequisite for setting the direction, and accordingly, the direction such as educational content and method is determined. Therefore, this study aims to explore the direction of AI education by analyzing the difference in perceptions of the need for AI education between experts and the school field, and analyzing the perception of the need for AI education that everyone can relate to.

Citizens' Perception on and Attitudes toward Use and Management of National Parks in South Korea (국립공원 이용 및 관리 방안에 대한 시민 인식)

  • Lee, Seonghun;Koo, Kyung Ah;Im, Changmin;Yoon, Tae Kyung
    • Journal of Environmental Impact Assessment
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    • v.30 no.2
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    • pp.89-104
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    • 2021
  • This study investigated the public opinion on the use and conservation management of national park, to manage the growing demand of national park visit and to support the policy direction of national park. So far, various surveys and big data analysis on the use and perception of national park have been conducted, but there have been limitations such as lack of survey questions on issues in park management and use. In addition, the object of the previous studies were limited to the national park visitors; therefore, this study expanded the object of survey from national park visitors to ordinary citizens. Unlike previous studies conducted only on national park visitors, ordinary citizens relatively prefered bottom areas rather than high-altitude ones. A policy to limit the visit to high-ridge area of mountain is being currently driven; however, the survey results of ordinary citizens suggested to maintain current policies or to increase visitor reservations system within narrow limits. On the other hand, the proportion of citizens who have used the visitor-reservation system was very small. We discuss the difference between national park visitors and ordinary citizens and the policy conditions according to changes in park management principles and public attitudes toward national parks.

Microplastics Intellectual Network Analysis based on Bigdata (빅데이터 기반한 미세플라스틱 지적네트워크 분석)

  • Kim, Younghee;Chang, Kwanjong
    • Journal of Convergence for Information Technology
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    • v.12 no.4
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    • pp.239-259
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    • 2022
  • Since 2019, research on microplastics has been actively conducted around the world, so analyzing the differences between domestic and foreign microplastics research can be a milestone in establishing the direction of domestic research. In this study, microplastic papers from KCI and WoS were extracted and the differences between domestic and foreign studies were analyzed using a network analysis methodology based on big data such as author keyword co-occurrence word analysis, thesis co-citation analysis, and author co-citation analysis. As a result of the analysis, the analysis of the research topic confirmed that studies that could affect the human body and the treatment of microplastics in daily life were additionally needed in Korea. In the analysis of the depth of thesis citation that examines the quality of research, it was found that Korea was still insufficient at 2.25 overseas and 1.39 in Korea. In the analysis of the composition of the joint research front, where various researchers participate and share information, 3 out of 22 clusters in Korea are Star type. In the case of overseas, all 19 clusters have a mesh structure, so it was confirmed that information flow and sharing were insufficient in specific research fields in Korea. These research results confirmed the need to expand the research topic of microplastics, improve the quality of research, and improve the research promotion system in which various researchers participate. In addition, if the automation program is developed based on topic modeling, it will be possible to build a system capable of real-time analysis.