• Title/Summary/Keyword: ICT trend analysis

Search Result 118, Processing Time 0.024 seconds

Effect Analysis of Learning Using Educational Contents (교육용 콘텐츠를 활용한 수업의 효과 분석)

  • Park Hye-Yeong;Kho Dae-Ghon;Ahn Seong-Hun
    • The Journal of the Korea Contents Association
    • /
    • v.5 no.6
    • /
    • pp.293-300
    • /
    • 2005
  • The importance of ICT is being emphasized in this information-oriented society. In the 7th curriculum, it is necessary to use ICT more than 10% in teaching every subjects to keep pace with this trend. The distinctive feature of the curriculum lies in the introduction of various gradations and levels of the individual students. In this paper, by designing and applying the teaching idea based on educational contents, we analyzed how it has an effect on achieving of studies. As the results of this research, we found that teaching based on educational contents made students the meaningful increasement of interest in the controlled group and according to the increasement of the achievement in studying, the improvement of teaching are confirmed.

  • PDF

Study on the Trends of U-City and Smart City Researches using Text Mining Technology (텍스트마이닝 기법을 이용한 U-City와 Smart City의 연구 동향에 대한 분석)

  • Lim, Si Yeong;Lim, Yong Min;Lee, Jae Yong
    • Journal of Korean Society for Geospatial Information Science
    • /
    • v.22 no.3
    • /
    • pp.87-97
    • /
    • 2014
  • City is currently developing into intelligent city which adopts the ICT technology to resolve the problems and increase the competitiveness. This intelligent city is promoted under the name of U-City or Smart City, yet it is also criticized in the trend for what the differences between U-City and Smart City are. In this study, we draws the differences between U-City and Smart City from our distinctive research method, text mining which analyzes the trend of research papers, and contribute to direction of U-City study in the future. Through this analysis, the study results in that U-City focuses practical implementation in domestic cities while Smart City focuses technological development and provision of single service. However, this paper has a limitation as the subjective opinion was reflected to configure the sets of keywords, and only keywords and s were analyzed. Therefore, further studies are needed to confirm the differences between U-City and Smart City with related research papers and reports.

Analysis of Professional Baseball Data based on Big Data (빅데이터 기반 프로야구 데이터 분석)

  • Shin, Dong-Jin;Hwang, Seung-Yeon;Lee, Don-Hee;Moon, Jin-Yong;Kim, Jeong-Joon
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.20 no.4
    • /
    • pp.177-185
    • /
    • 2020
  • Recently, the popularity of professional baseball is increasing day by day, and it has data related to professional baseball on various portal sites. If you want to increase the popularity of professional baseball and produce results through analysis using relevant data, you have the advantage of accessing professional baseball. In this paper, three analyzes were conducted using data related to professional baseball. Therefore, in this paper, the trend related to the number of articles retrieved from a specific site of a professional baseball team was examined, and the correlation between professional baseball scores and the number of spectators was analyzed. Finally, we analyzed the current status of professional baseball batting average and on base percentage in 2016 and 2017.

An Open Source Mobile Cloud Service: Geo-spatial Image Filtering Tools Using R (오픈소스 모바일 클라우드 서비스: R 기반 공간영상정보 필터링 사례)

  • Kang, Sanggoo;Lee, Kiwon
    • Spatial Information Research
    • /
    • v.22 no.5
    • /
    • pp.1-8
    • /
    • 2014
  • Globally, mobile, cloud computing or big data are the recent marketable key terms. These trend technologies or paradigm in the ICT (Information Communication Technology) fields exert large influence on the most application fields including geo-spatial applications. Among them, cloud computing, though the early stage in Korea now, plays a important role as a platform for other trend technologies uses. Especially, mobile cloud, an integrated platform with mobile device and cloud computing can be considered as a good solution to overcome well known limitations of mobile applications and to provide more information processing functionalities to mobile users. This work is a case study to design and implement the mobile application system for geo-spatial image filtering processing operated on mobile cloud platform built using OpenStack and various open sources. Filtering processing is carried out using R environment, recently being recognized as one of big data analysis technologies. This approach is expected to be an element linking geo-spatial information for new service model development and the geo-spatial analysis service development using R.

Exploring Potential Application Industry for Fintech Technology by Expanding its Terminology: Network Analysis and Topic Modelling Approach (용어 확장을 통한 핀테크 기술 적용가능 산업의 탐색 :네트워크 분석 및 토픽 모델링 접근)

  • Park, Mingyu;Jeon, Byeongmin;Kim, Jongwoo;Geum, Youngjung
    • The Journal of Society for e-Business Studies
    • /
    • v.26 no.1
    • /
    • pp.1-28
    • /
    • 2021
  • FinTech has been discussed as an important business area towards technology-driven financial innovation. The term fintech is a combination of finance and technology, which means ICT technology currently associated with all finance areas. The popularity of the fintech industry has significantly increased over time, with full investment and support for numerous startups. Therefore, both academia and practice tried to analyze the trend of the fintech area. Despite the fact, however, previous research has limitations in terms of collecting relevant databases for fintech and identifying proper application areas. In response, this study proposed a new method for analyzing the trend of Fintech fields by expanding Fintech's terminology and using network analysis and topic modeling. A new Fintech terminology list was created and a total of 18,341 patents were collected from USPTO for 10 years. The co-classification analysis and network analysis was conducted to identify the technological trends of patent classification. In addition, topic modeling was conducted to identify the trends of fintech in order to analyze the contents of fintech. This study is expected to help both managers and investors who want to be involved in technology-driven financial services seize new FinTech technology opportunities.

Analysis on Trend of Study Related to Computational Thinking Using Topic Modeling (토픽 모델링을 이용한 컴퓨팅 사고력 관련 연구 동향 분석)

  • Moon, Seong-Yun;Song, Ki-Sang
    • Journal of The Korean Association of Information Education
    • /
    • v.23 no.6
    • /
    • pp.607-619
    • /
    • 2019
  • As software education was introduced through the 2015 revised curriculum, various research activities have been carried out to improve the computational thinking of learners beyond the existing ICT literacy and software utilization education. With this change, the purpose of this study is to examine the research trends of various research activities related to computational thinking which is emphasized in software education. To this end, we extracted the key words from 190 papers related to computational thinking subject published from January 2014 to September 2019, and conducted frequency analysis, word cloud, connection centrality, and topic modeling analysis on the words. As a result of the topical modeling analysis, we found that the main studies so far have included studies on 'computational thinking education program', 'computational thinking education for pre-service teacher education', 'robot utilization education for computational thinking', 'assessment of computational thinking', and 'computational thinking connected education'. Through this research method, it was possible to grasp the research trend related to computational thinking that has been conducted mainly up to now, and it is possible to know which part of computational thinking education is more important to researchers.

Operational Big Data Analytics platform for Smart Factory (스마트팩토리를 위한 운영빅데이터 분석 플랫폼)

  • Bae, Hyerim;Park, Sanghyuck;Choi, Yulim;Joo, Byeongjun;Sutrisnowati, Riska Asriana;Pulshashi, Iq Reviessay;Putra, Ahmad Dzulfikar Adi;Adi, Taufik Nur;Lee, Sanghwa;Won, Seokrae
    • The Journal of Bigdata
    • /
    • v.1 no.2
    • /
    • pp.9-19
    • /
    • 2016
  • Since ICT convergence became a major issue, German government has carried forward a policy 'Industry 4.0' that triggered ICT convergence with manufacturing. Now this trend gets into our stride. From this facts, we can expect great leap up to quality perfection in low cost. Recently Korean government also enforces policy with 'Manufacturing 3.0' for upgrading Korean manufacturing industry with being accelerated by many related technologies. We, in the paper, developed a custom-made operational big data analysis platform for the implementation of operational intelligence to improve industry capability. Our platform is designed based on spring framework and web. In addition, HDFS and spark architectures helps our system analyze massive data on the field with streamed data processed by process mining algorithm. Extracted knowledge from data will support enhancement of manufacturing performance.

  • PDF

Analysis of Mineral Resource Exploration and Strategy in Australia (호주 광물자원탐사와 전략분석)

  • Kim, Seong-Yong;Heo, Chul-Ho
    • Economic and Environmental Geology
    • /
    • v.51 no.3
    • /
    • pp.291-307
    • /
    • 2018
  • Australia is the world's top gold, nickel, iron ore, lead, zinc and uranium, and is ranked in the top five in many other important minerals. Extension to existing resources will continue to support well-established local production. There are perceptions by some that Australia is a mature exploration destination where the easily won near-surface deposits were largely discovered many decades ago. In recent years, Australia faces increasing global competition for investment spending in all jurisdictions in which mineral exploration is encouraged. Many regional communities face the threat of losing their main economic driver as a number of long-term mines are reaching the end of their economic life. However, given the trend of increasing mineral demand due to the 4th industrial revolution, it is considered that Korea is also an opportunity to acquire global competitiveness of geoscience and mining technology by smart and digital mining, and by ICT-convergence technology R&D.

Overseas Research and Development Activities of Korean ICT enterprises in Emerging Countries

  • Seo, Jeongseon
    • STI Policy Review
    • /
    • v.3 no.2
    • /
    • pp.79-91
    • /
    • 2012
  • With the globalisation of the world's economies and the increasing role of multinational corporations in the generation of knowledge, global research and development (R&D) activities in emerging countries are following a new trend. This paper describes case studies of two large companies and discussion of the motives (demand vs. supply) and tasks (demand-driven vs. supply-driven) of R&D activities outside their home country. This work is based on an analysis of four overseas R&D units of two Korean ICT companies - here, ICT refers to goods and services in the information technology and communication technology fields - in India and China. The research findings are as follows: (1) The overseas R&D activities of Korean ICT enterprises in emerging countries may be driven by a combination of demand and supply factors of host countries; and (2) Korean overseas R&D centres in emerging countries may need to carry out both demand- and supply-driven tasks in view of the overlap between demand and supply factors of the host countries. Based on the results of this research, the following policy implications can be drawn for encouraging more effective overseas R&D activities of Korean enterprises in emerging countries. First, the government needs to expand the support systems so that enterprises can manage local R&D centres more effectively and actively use the variety of local support systems and useful information. Second, the government needs to expand the support systems so that the overseas R&D centres of Korean enterprises revitalise collaborations with locally excellent universities and research institutions.

Development of Transporter for Marine Leisure Ship with Safety and Operation Support System (안전·운용 지원 시스템을 적용한 해양레저선박 이송장치 개발)

  • Kim, Bae-Sung;Hwang, Hun-Gyu;Yoon, Sung-Won;Kim, Tae-Yeob;Kang, Jong-Lin
    • Journal of Ocean Engineering and Technology
    • /
    • v.33 no.5
    • /
    • pp.486-494
    • /
    • 2019
  • Recently, the interest in marine leisure activities has been growing rapidly with the work-life balance trend. In response to this demand, the Korean government is supporting fostering and revitalizing the relevant industries and facilities. In particular, a marina has been making efforts to change itself into a resort with multiple amenities instead of a simple mooring facility. However, the facilities in a marina for the transport of marine leisure equipment mostly consist of cranes and boat-lifts using ropes, which can result in incidents such as damage and accidents during lifting or movement. This paper proposes the equipment and support system for the safe transportation of marine leisure ships. Aluminum transport equipment was designed by performing a structural analysis to achieve a lighter weight than the existing steel products. In addition, a safety support system with alarms for tilting or obstacles and a slope monitoring system was developed to enhance the safety during operation and transportation. The safety support system developed in this study was implemented and installed in the transport system, and verified through commissioning on land.