• Title/Summary/Keyword: Mobile big data

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An Analysis of News Media Coverage of the QRcode: Based on 2008-2023 News Big Data (QR코드에 대한 언론 보도 경향: 2008-2023년 뉴스 빅데이터 분석)

  • Sunjeong Kim;Jisu Lee
    • Journal of the Korean Society for information Management
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    • v.41 no.2
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    • pp.269-294
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    • 2024
  • This study analyzed the news media coverage of QRcodes in Korea over a 16-year period (2008 to 2023). A total of 13,335 articles were extracted from the Korea Press Foundation's BigKinds. A quantitative and content analysis was conducted on the news frames. The results indicated that the quantity of news coverage has increased. The greatest quantity of news coverage was observed in 2020, and the most frequently discussed topic in the news was 'IT_Science'. The results of the keyword analysis indicated that the primary words were 'QRcode', 'smartphone', 'service', 'application', and 'payment'. The news media primarily focused on the QRcode's ability to provide instant access and recognition technology. This study demonstrates that advanced information and communication technologies and the increased prevalence of mobile devices have led to a rise in the utilization of QRcodes. Furthermore, QRcodes have become a significant information media in contemporary society.

A study on modularization of public data that can be used universally in the field of big data education (빅데이터교육 현장에서 범용적으로 활용 가능한 공공데이터 모듈화 연구)

  • Su-Youn Choi;Jong-Youel Park
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.655-661
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    • 2023
  • Big data, an important element of the 4th industrial revolution, is actively opening public data in public institutions and local governments. In the public data portal, everyone can conveniently search for data and check related data, but only those in ICT-related fields are using public data. Although data held by public institutions is open to citizens, it is difficult for anyone to easily utilize public data to develop applications. In this paper, data provided in open API format from public data portals has XML and JSON formats. In this study, we are a method of modularizing public data in XML format into a part that can be easily developed by linking it to a GUI interface. Based on the necessary public data, we propose a way to easily develop mobile programs and promote the use of public data.

A Study on the Use of Youth Mobile Easy Payment (청소년 모바일 간편 결제 이용에 대한 연구)

  • Kim, Hyo-Kyung;Lee, Sae-Bom;Moon, Jae-Young
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2019.01a
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    • pp.199-200
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    • 2019
  • 모바일 간편 결제란 모바일을 통해 재화, 서비스 이용에 관련된 결제를 처리하는 것을 의미한다. 모바일 접속자가 늘어나고 모바일 채널로 구매하는 사용자 규모가 커짐에 따라 모바일 간편 결제 시장은 지속적으로 성장되고 있다. 따라서 본 연구에서는 청소년을 대상으로 모바일 간편 결제에 대한 이용 실태를 조사하고자 한다. 정보기술에 대한 개인혁신성과 현금 결제 습관을 사용자의 개인적 속성으로, 사용자가 인지하고 있는 위험성과 상대적 이점을 지각된 신념으로 보고 모바일 간편 결제 이용에 대한 청소년들의 인식을 연구하고자 한다. 대부분의 학생들이 온라인/모바일 쇼핑을 통해 모바일 간편 결제를 많이 사용하는 것으로 나타났으며, 상대적 이점이 있다고 높게 생각하고 있고, 현금 사용에 대한 습관 역시 높게 나타났다.

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Intelligent Resource Management Schemes for Systems, Services, and Applications of Cloud Computing Based on Artificial Intelligence

  • Lim, JongBeom;Lee, DaeWon;Chung, Kwang-Sik;Yu, HeonChang
    • Journal of Information Processing Systems
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    • v.15 no.5
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    • pp.1192-1200
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    • 2019
  • Recently, artificial intelligence techniques have been widely used in the computer science field, such as the Internet of Things, big data, cloud computing, and mobile computing. In particular, resource management is of utmost importance for maintaining the quality of services, service-level agreements, and the availability of the system. In this paper, we review and analyze various ways to meet the requirements of cloud resource management based on artificial intelligence. We divide cloud resource management techniques based on artificial intelligence into three categories: fog computing systems, edge-cloud systems, and intelligent cloud computing systems. The aim of the paper is to propose an intelligent resource management scheme that manages mobile resources by monitoring devices' statuses and predicting their future stability based on one of the artificial intelligence techniques. We explore how our proposed resource management scheme can be extended to various cloud-based systems.

Webdrama Analysis and Recommendation using Text Mining and Opinion Mining Technique of Social Media (소셜미디어 빅데이터의 텍스트 마이닝과 오피니언 마이닝 기법을 활용한 웹드라마 분석과 제안)

  • Oh, Se-Jong;Kim, Kenneth Chi Ho
    • Cartoon and Animation Studies
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    • s.44
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    • pp.285-306
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    • 2016
  • With the increase use of smartphones, users can consume contents such as webtoon, webnovel and TV drama directly provided by the producers. In this Direct-to-Consumer era, webdrama services from the portal websites are increasing rapidly. Webdramas such as , , and can be analyzed in real time using responses such as unique users, likes, and comments. The analyses used in this research were Social Media Big Data Mining Method and Opinion Mining Method. Specific key words from webdrama can be extracted and viewers positive, neutral or negative emotion can be predicted from the words. The analyses of popular webdramas showed that the established K-Pop Idol member appearance and servicing portal site greatly influence the views, traffics, comments, and likes. Also, 'Mobile TV' proved the effectiveness as another platform other than television. Mobile targeted contents and robust business models still to be developed and identified. Overcoming these few tasks, Korea will be proven to be a webdrama content powerhouse.

Analysis on the Current Status of the Fourth Industrial Revolution-Oriented Curriculum of the Computer and Software-Related Majors Based on the Standard Classification (표준분류에 기준한 컴퓨터 및 소프트웨어 관련 전공의 제4차 산업혁명중심 교육과정 운영 현황 분석)

  • Choi, Jin-Il;Choi, Chul-Jae
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.3
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    • pp.587-592
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    • 2020
  • This paper analyzed the curriculum of computer and software-related majors educating the core IT-related skills needed for the 4th Industrial Revolution. The analysis was conducted on 158 majors classified as applied software, computer science and computer engineering according to the standard classification of university education units by the Standard Classification Committee of the Korean Council of University Education. The current status of introduction of curricular divided into the fields of Internet of Things(IoT) & mobile, cloud & big data, artificial intelligence(AI), and information security was analyzed among the contents of education in the relevant departments. According to the analysis, an average of 81.6% of the majors for each group of curricular organized related subjects into the curriculum. The Curriculum Response Index for the 4th industrial revolution(CRI4th) by major, calculated by weighting track operations by education sector, averaged 27.5 point out of 100 point. And the IoT & mobile sector had the highest score of 42.3 points.

Research about the IoT based on Korean style Smart Factory Decision Support System Platform - based on Daegu/Kyeongsangbuk-do region component manufacture companies (IoT 기반의 한국형 Smart Factory 의사결정시스템 플랫폼에 대한 연구 - 대구/경북 부품소재 기업을 중심으로)

  • Sagong, Woon
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.12 no.1
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    • pp.1-12
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    • 2016
  • The current economic crisis is making new demands on manufacturing industry, in particular, in terms of the flexibility and efficiency of production processes. This requires production and administrative processes to be meshed with each other by means of IT systems to optimise the use and capacity utilisation of machines and lines but also to be able to respond rapidly to wrong developments in production and thus to minimise adverse impacts on the business. The future scenario of the "smart factory" represents the zenith of this development. The factory can be modified and expanded at will, combines all components from different manufacturers and enables them to take on context-related tasks autonomously. Integrated user interfaces will still be required at most for basic functionalities. The complex control operations will run wirelessly and ad hoc via mobile terminals such as PDAs or smartphones. The comnination of IoT, and Big Data optimisation is bringing about huge opportunities. these processes are not just limited to manufacturing, anywhere a supply chain environment exists can benefit from information provided by linked devices and access to big data to inform their decision support. Building a smart factory with smart assets at its core means reaching those desired new levels of productivity and efficiency. It means smart products that leverage advanced traceability, connectivity and intelligence. For businesses, it means being able to address the talent crunch through more autonomous. In a Smart Factory, machinery and equipment will have the ability to improve processes through self-optimization and autonomous decision-making.

Smart Warehouse Management System Utilizing IoT-based Autonomous Mobile Robot for SME Manufacturing Factory (중소제조기업을 위한 IoT기반의 자율이동모듈을 활용한 스마트 창고관리 시스템 개발)

  • Kim, Jeong-A;Jeong, Jongpil
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.5
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    • pp.237-244
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    • 2018
  • The Smart Factory level of manufacturing factories of SMEs now lacks a system for grasping the accurate inventory amount associated with inventory movements in managing warehouses at the basic level. Also, it is difficult to manage accurate materials for loss of data due to worker manual work and production method due to experience. In order to solve this problem, in this paper, automatic acquisition of inventory to minimize manual work to grasp workers' Inventory and improve automation is done. In the smart warehouse management system using the IoT-based autonomous mobile module, the autonomous mobile module acquires the data of the inventory storage while moving through the line. In order to grasp the material of the Inventory storage, The Camera module recognizes the name of the inventory storage. And Then, If output matches, the data measured by the sensor is transferred to the server. This data can be processed, saved in a database, and real-time inventory quantity and location can be grasped in a web-based monitoring environment for administrators. The Real-time Automatic Inventory (RAIC) systems is reduce manual tasks and expect the effects of automated inventory management systems.

A Study on Zero Pay Image Recognition Using Big Data Analysis

  • Kim, Myung-He;Ryu, Ki-Hwan
    • International Journal of Internet, Broadcasting and Communication
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    • v.14 no.3
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    • pp.193-204
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    • 2022
  • The 2018 Seoul Zero Pay is a policy actively promoted by the government as an economic stimulus package for small business owners and the self-employed who are experiencing economic depression due to COVID-19. However, the controversy over the effectiveness of Zero Pay continues even after two years have passed since the implementation of the policy. Zero Pay is a joint QR code mobile payment service introduced by the government, Seoul city, financial companies, and private simple payment providers to reduce the burden of card merchant fees for small business owners and self-employed people who are experiencing economic difficulties due to the economic downturn., it was attempted in the direction of economic revitalization for the return of alleyways[1]. Therefore, this study intends to draw implications for improvement measures so that the ongoing zero-pay can be further activated and the economy can be settled normally. The analysis results of this study are as follows. First, it shows the effect of increasing the income of small business owners by inducing consumption in alleyways through the economic revitalization policy of Zero Pay. Second, the issuance and distribution of Zero Pay helps to revitalize the local economy and contribute to the establishment of a virtuous cycle system. Third, stable operation is being realized by the introduction of blockchain technology to the Zero Pay platform. In terms of academic significance, the direction of Zero Pay's policies and systems was able to identify changes in the use of Zero Pay through big data analysis. The implementation of the zero-pay policy is in its infancy, and there are limitations in factors for examining the consumer image perception of zero-pay as there are insufficient prior studies. Therefore, continuous follow-up research on Zero Pay should be conducted.

A Big Data Study on Viewers' Response and Success Factors in the D2C Era Focused on tvN's Web-real Variety 'SinSeoYuGi' and Naver TV Cast Programming

  • Oh, Sejong;Ahn, Sunghun;Byun, Jungmin
    • International Journal of Advanced Culture Technology
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    • v.4 no.2
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    • pp.7-18
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    • 2016
  • The first D2C-era web-real variety show in Korea was broadcast via tvN of CJ E&M. The web-real variety program 'SinSeoYuGi' accumulated 54 million views, along with 50 million views at the Chinese portal site QQ. This study carries out an analysis using text mining that extracts portal site blogs, twitter page views and associative terms. In addition, this study derives viewers' response by extracting key words with opinion mining techniques that divide positive words, neutral words and negative words through customer sentiment analysis. It is found that the success factors of the web-real variety were reduced in appearance fees and production cost, harmony between actual cast members and scenario characters, mobile TV programing, and pre-roll advertising. It is expected that web-real variety broadcasting will increase in value as web contents in the future, and be established as a new genre with the job of 'technical marketer' growing as well.