• Title/Summary/Keyword: 과학기술 데이터

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Analysis of SCI Journals Cited by Korean Journals in the Computer field

  • Kim, Byungkyu;You, Beom-Jong;Kang, Ji-Hoon
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.11
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    • pp.79-86
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    • 2019
  • It is very important to analyze and provide information resources for research output produced in the computer field, the core science of the 4th Industrial Revolution. In this paper, SCI journals cited from domestic journals in the computer field were identified and the citation rankings and their co-citation networks were generated, analyzed, mapped and visualized. For this, the bibliographic and citation index information from 2015 to 2017 in the KSCD were used as the basis data, and the co-citation method and network centrality analysis were used. As a result of this study, the number of citations and the citation ranks of SCI journals and papers cited by korean journals in the computer field were analyzed, and peak time(2 years), half-life(6.6 years), and immediacy citation rate(2.4%) were measured by citation age analysis. As a result of network centrality analysis, Three network centralities(degree, betweenness, closeness) of the cited SCI journals were calculated, and the ranking of journals by each network centrality was measured, and the relationship between the subject classifications of the cited SCI journals was visualized through the mapping of the network.

A Study on Analysis of national R&D research trends for Artificial Intelligence using LDA topic modeling (LDA 토픽모델링을 활용한 인공지능 관련 국가R&D 연구동향 분석)

  • Yang, MyungSeok;Lee, SungHee;Park, KeunHee;Choi, KwangNam;Kim, TaeHyun
    • Journal of Internet Computing and Services
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    • v.22 no.5
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    • pp.47-55
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    • 2021
  • Analysis of research trends in specific subject areas is performed by examining related topics and subject changes by using topic modeling techniques through keyword extraction for most of the literature information (paper, patents, etc.). Unlike existing research methods, this paper extracts topics related to the research topic using the LDA topic modeling technique for the project information of national R&D projects provided by the National Science and Technology Knowledge Information Service (NTIS) in the field of artificial intelligence. By analyzing these topics, this study aims to analyze research topics and investment directions for national R&D projects. NTIS provides a vast amount of national R&D information, from information on tasks carried out through national R&D projects to research results (thesis, patents, etc.) generated through research. In this paper, the search results were confirmed by performing artificial intelligence keywords and related classification searches in NTIS integrated search, and basic data was constructed by downloading the latest three-year project information. Using the LDA topic modeling library provided by Python, related topics and keywords were extracted and analyzed for basic data (research goals, research content, expected effects, keywords, etc.) to derive insights on the direction of research investment.

A Study on the Application of Information Design to Korean Cultural Heritage Education (한국 문화유산 교육의 정보디자인 적용 방법 고찰)

  • Barng, Keeung
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.9 no.11
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    • pp.475-489
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    • 2019
  • This study seeks to explore the method of imagination through creative new thinking in cultural heritage education and the most effective model of education in education. Research methods were organized by the methods of reviewing literature, browsing the Internet, and comparative analysis of prior research. We hope to realize the need for differentiated Korean cultural heritage and make efforts to incorporate our identity in the design. Through this study, we hope to realize the need for differentiated Korean cultural heritage and make efforts to incorporate our identity in the design. In the process of visualizing information, the focus should be on identifying the structure, characteristics, and the correlation between pattern and trend analysis, and the heterogeneity analysis, and should be made with the characteristics considered. Texting, graphics, sound, animation, lighting, and Navigation are often used as the expressive elements of information visualization for educational models. To facilitate the understanding of learners, accurate information transmission visuals should be presented. To do so, the use of infographic can be the answer. It is necessary to develop appropriate multimedia visual data, such as the use of infographic to be applied, and to develop various infographic multimedia visuals. These work should not be merely a research dimension, but should be carried out with the aim of helping develop actual cultural heritage educational content.

Deployment Strategies of Cloud Computing System for Defense Infrastructure Enhanced with High Availability (고가용성 보장형 국방 클라우드 시스템 도입 전략)

  • Kang, Ki-Wan;Park, Jun-Gyu;Lee, Sang-Hoon;Park, Ki-Woong
    • The Journal of Korean Institute of Next Generation Computing
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    • v.15 no.3
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    • pp.7-15
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    • 2019
  • Cloud computing markets are rapidly growing as cost savings and business innovation are being carried out through ICT worldwide. In line with this paradigm, the nation is striving to introduce cloud computing in various areas, including the public sector and defense sector, through various research. In the defense sector, DIDC was established in 2015 by integrating military, naval, air and military computing centers, and it provides cloud services in the form of IaaS to some systems in the center. In DIDC and various future cloud defense systems, It is an important issue to ensure availability in cloud defense systems in the defense sector because system failures such as network delays and system resource failures are directly linked to the results of battlefields. However, ensuring the highest levels of availability for all systems in the defense cloud can be inefficient, and the efficiency that can be gained from deploying a cloud system can be reduced. In this paper, we classify and define the level of availability of defense cloud systems step by step, and propose the strategy of introducing Erasure coding and failure acceptance systems, and disaster recovery system technology according to each level of availability acquisition.

A Study on Photovoltaic Panel Monitoring Using Sentinel-1 InSAR Coherence (Sentinel-1 InSAR Coherence를 이용한 태양광전지 패널 모니터링 효율화 연구)

  • Yoon, Donghyeon;Lee, Moungjin;Lee, Seungkuk
    • Korean Journal of Remote Sensing
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    • v.37 no.2
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    • pp.233-243
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    • 2021
  • Photovoltaic panels are hazardous electronic waste that has heavy metal as one of the hazardous components. Each year, hazardous electronic waste is increasing worldwide and every heavy rainfall exposes the photovoltaic panel to become the source of heavy metal soil contamination. the development needs a monitoring technology for this hazardous exposure. this research use relationships between SAR temporal baseline and coherence of Sentinel-1 satellite to detected photovoltaic panel. Also, the photovoltaic plant detection tested using the difference between that photovoltaic panel and the other difference surface of coherence. The author tested the photovoltaic panel and its environment to calculate differences in coherence relationships. As a result of the experiment, the coherence of the photovoltaic panel, which is assumed to be a permanent scatterer, shows a bias that is biased toward a median value of 0.53 with a distribution of 0.50 to 0.65. Therefore, further research is needed to improve errors that may occur during processing. Additionally, the author found that the change detection using a temporal baseline is possible as the rate of reduction of coherence of photovoltaic panels differs from those of artificial objects such as buildings. This result could be an efficient way to continuously monitor regardless of weather conditions, which was a limitation of the existing optical satellite image-based photovoltaic panel detection research and to understand the spatial distribution in situations such as photovoltaic panel loss.

Analysis of Effect of Aid Fragmentation on Spending on Health by Recipients : Focus on the Sub-Sahara African Nations (원조 범람이 수원국의 보건부분 정부지출에 미친 영향분석: 아프리카 사하라 사막 이남 지역 국가들을 중심으로)

  • Lee, Hyemin;Jang, Duckhee
    • Journal of International Area Studies (JIAS)
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    • v.21 no.1
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    • pp.39-72
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    • 2017
  • The purpose of this study is to conduct an empirical analysis on the effect of aid proliferation on government spending on health by the recipient nations using panel data and acquire information on the direction of future ODA operations. In this study, calculated excessive foreign aid index with regard to the health sector of Sub-Sahara African nations and conducted an empirical analysis on the effect of aid fragmentation on government spending on health sector. The result of the analysis disclosed that aid fragmentation significantly reduced government spending on health. It is anticipated that such trend came from the mutual pursuit of profit between the attribute (the needs of the donor nation) of ODA projects after new businesses and the governments of recipient nations that want ODA funding. Because competitive and excessive supports in ODA projects induce distortion in the government budget operation of the recipient nations and thereby trigger disutility in ODA projects, Based on the result of the analysis, We proposed to incorporate a more comprehensive deliberation with regard to the capacity of the recipient nations as well as a need for the role of mediating body such as DAC.

Comparative Analysis of Annual Tropospheric Delay by Season and Weather (계절과 날씨에 따른 연간 대류권 지연오차량 변화)

  • Lim, Soo-Hyeon;Kim, Ji-Won;Park, Jeong-Eun;Bae, Tae-Suk;Hong, Sungwook
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.37 no.1
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    • pp.1-7
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    • 2019
  • In this study, we estimated the tropospheric delay of GNSS (Global Navigation Satellite System) signals during passing through the atmosphere in relation to weather and seasonal factors. For this purpose, we chose four CORS (Continuously Operating Reference Station) stations from inland (CCHJ and PYCH) and on the coast (GEOM and CHJU). A total of 48 days for each station (one set of data for each week) were downloaded from the NGII (National Geographic Information Institute) and processed it using the scientific GNSS software. The average tropospheric delays in winter are less than 2,400 mm, which is about 200 mm less than those in summer. The estimated tropospheric delay shows a similar pattern from all stations except the absolute bias in magnitude, while a large delay was observed for the station located on the coast. In addition, the delay during the day was relatively stable in winter, and the average tropospheric delay was strongly related to the orthometric height. The inland stations have tropospheric delays by the precipitation rather than humidity due to dry weather and difference in temperature. On the contrary, it was primarily caused by the humidity on the sea. The correlation between temperature and water vapor pressure is 0.9 or larger for all stations, and the tropospheric delay showed a high linear relationship with temperature. It is necessary to analyze the GNSS data with higher temporal resolution (e.g. all RINEX data of the year) to improve the stability and reliability of the correlation results.

Research of Monitoring of Conservation Condition and Investigation Method of National Designated Heritage - Focusing on Regular Monitoring of National Designated Movable Cultural Heritage - (국가지정 지류문화재의 보존현황 파악 및 조사방안 연구 - 국가지정 동산문화재 정기조사를 중심으로 -)

  • Jeong, Seon-Hwa;Park, Sang-Kyu
    • Korean Journal of Heritage: History & Science
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    • v.49 no.4
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    • pp.196-217
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    • 2016
  • This study was conducted to identify the state of conservation of the national paper heritages and to seek ways of conservation management, focusing on regular monitoring directly performed by the government on the national movable cultural heritages. Subjects for the investigation were limited to investigations conducted by both the Cultural Heritage Conservation Center and the Artistic Heritage Division in 2014 and 2015. Paper heritages are easily affected by temperature, humidity, lighting, etc. due to the nature of the material and can easily be damaged by physical strength; therefore stable conservation environment is essential and regular investigation on movable cultural heritages conducted according to the Cultural Heritage Protection Act is necessary to protect from contamination, being torn, bending, friction, or loss. Losing a chance for timely proper treatment will bring irrevocable result therefore strict management is necessary; continuous monitoring is also needed after treatment. Analysis on the pigments, materials and structures, detailed investigation, data establishment for conservation of cultural heritages and regular investigation should be done. Detailed data on the national cultural heritages will be a base of more reasonable conservation management system for the national paper heritages and will realize continuous improvement on regular investigation practice.

An Investigation of a Role of Affective factors in Users' Coping with Privacy Risk from Location-based Services (위치기반 서비스(Location-based Service)의 프라이버시 위험 대응에 있어 사용자 감정(Affect)의 역할)

  • Park, Jonghwa;Jung, Yoonhyuk
    • The Journal of Bigdata
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    • v.5 no.2
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    • pp.201-213
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    • 2020
  • Despite empirical research that the response to human risk is significantly influenced affective factors, the role of affective factors has been unexplored in information privacy research. This study aims to explore the privacy behaviors of location-based service (LBS) users from an affective point of view. Specifically, the study explored the relationship between three types of privacy threats (collection, hacking, secondary use), two affects (worry, anger), and a coping behavior (continuous use intentions). The structured survey was conducted with 552 users. In order to analyze the effect of the combination of perception of particular privacy threats and particular affects on the intention of continuous use, association rules, one of the data mining techniques, was employed. As a result, there was a difference in the intention to use according to the combination of the perception of risk and affect responses, and the most significant influence on the intention is when the second use of personal information was combined with anger. This study has significant theoretical contribution in that it includes affective factors in the research of information privacy users, complementing the biases of existing cognition-oriented approaches and providing a comprehensive understanding of privacy response behavior.

Analysis of the Precedence of Stock Price Variables Using Cultural Content Big Data (문화콘텐츠 빅데이터를 이용한 주가 변수 선행성 분석)

  • Ryu, Jae Pil;Lee, Ji Young;Jeong, Jeong Young
    • The Journal of the Korea Contents Association
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    • v.22 no.4
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    • pp.222-230
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    • 2022
  • Recently, Korea's cultural content industry is developing, and behind the growing recognition around the world is the real-time sharing service of global network users due to the development of science and technology. In particular, in the case of YouTube, its propagation power is fast and powerful in that everyone, not limited users, can become potential video providers. As more than 80% of mobile phone users are using YouTube in Korea, YouTube's information means that psychological factors of users are reflected. For example, information such as the number of video views, likes, and comments of a channel with a specific personality shows a measure of the channel's personality interest. This is highly related to the fact that information such as the frequency of keyword search on portal sites is closely related to the stock market economically and psychologically. Therefore, in this study, YouTube information from a representative entertainment company is collected through a crawling algorithm and analyzed for the causal relationship with major variables related to stock prices. This study is considered meaningful in that it conducted research by combining cultural content, IT, and financial fields in accordance with the era of the fourth industry.