• 제목/요약/키워드: 온라인 동향 분석

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Online Game Technology Based on User Created Contents (UCC 기반의 온라인 게임 기술)

  • Son, Gang-Min;Jeong, Yong-Nam;Ryu, Seong-Won;Park, Chang-Jun;Yang, Gwang-Ho
    • Electronics and Telecommunications Trends
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    • v.22 no.4 s.106
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    • pp.64-73
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    • 2007
  • 웹 2.0 기술은 개방, 공유, 참여라는 형식으로 사용자가 직접 블로그, 웹 포털 등에 사진 및 동영상을 게재하는 UCC의 형태로 화제가 되고 있다. 그러나, 이러한 사용자 창조형 콘텐츠는 예전부터 온라인 게임에서 다양한 형태로 시도되어 왔으며, 최근 웹 2.0 기술이 화두로 떠오르며 온라인 게임 분야에서도 보다 체계적으로 기술의 도입이 가속화되는 추세로, 국내에서는 최근 본격적으로 UCC가 도입된 온라인 게임이 오픈 베타 서비스를 시작하였다. 본 고에서는 UCC가 도입된 국내외 온라인 게임 현황을 살펴보고, UCC 기반의 온라인 게임을 구성하는 요소기술에 대하여 알아보기로 한다.

Domestic Research Trends on MOOCs: From 2010 to 2018 (MOOC 국내연구 동향분석: 2010년~2018년을 중심으로)

  • Lee, Jeongmin;Oh, Bora
    • The Journal of the Korea Contents Association
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    • v.19 no.7
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    • pp.82-90
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    • 2019
  • The purpose of this study was to analyze trends of domestic research on MOOCs(Massive Open Online Courses) for the last 10 years and provides implications for research on education and learning using MOOC. A total of 70 research papers were selected for the analysis. As a result, the research papers on MOOC in Korea have been increasing from 2012 to 2018. Of the 70 research papers, 31 were clearly indicated research subjects, and most of the research was conducted for university students. Regarding the research type, survey research(27.1%) were the most common. The predictors used in the study of MOOCs are demographic characteristics and perceived usefulness and ease of use for independent variables, satisfaction, perceived usefulness and ease of use for the mediators, usage intention and persistence for dependent variables were frequently used. Further implications were discussed for the study.

A Study on the Current Trends of User Study at the Knowledge Based Information Society (지식기반사회에서 이용자연구의 최신동향)

  • Han, Bock-Hee
    • Journal of the Korean Society for Library and Information Science
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    • v.37 no.4
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    • pp.295-310
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    • 2003
  • This study used content analysis to examine research methods and trends of the user study articles from 1991 to 2003. Analysis measured research subjects, research method, data collection methods, data analysis methods, hypotheses. The average yearly papers in the case of scholarly journal - 2.8 pieces. The year published the largest number of papers is 2001. The order of the number of papers information behavior, user study, user interface, user education, OPAC use. Used research methods are literature search and survey research, data analysis methods are $X^2$, correlation and T-test.

Big data analysis on NAVER Smart Store and Proposal for Sustainable Growth Plan for Small Business Online Shopping Mall (네이버 스마트스토어에 대한 빅데이터 분석 및 소상공인 온라인쇼핑몰 지속성장 방안 제안)

  • Hyeon-Moon Chang;Seon-Ju Kim;Chae-Woon Kim;Ji-Il Seo;Kyung-Ho Lee
    • The Journal of Bigdata
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    • v.7 no.2
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    • pp.153-172
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    • 2022
  • Online shopping has transformed and rapidly grown the entire market at the forefront of wholesale and retail services as an effective solution to issues such as digital transformation and social distancing policy (COVID-19 pandemic). Small business owners, who form the majority at the center of the online shopping industry, are constantly collecting policy changes and market trend information to overcome these problems and use them for marketing and other sales activities in order to overcome these problems and continue to grow. Objective and refined information that is more closely related to the business is also needed. Therefore, in this paper, through the collection and analysis of big data information, which is the core technology of digital transformation, key variables are set in product classification, sales trends, consumer preferences, and review information of online shopping malls, and a method of using them for competitor comparison analysis and business sustainability evaluation has been prepared and we would like to propose it as a service. If small and medium-sized businesses can benchmark competitors or excellent businesses based on big data and identify market trends and consumer tendencies, they will clearly recognize their level and position in business and voluntarily strive to secure higher competitiveness. In addition, if the sustainable growth of the online shopping mall operator can be confirmed as an indicator, more efficient policy establishment and risk management can be expected because it has an improved measurement method.

Recent Trends of Real-time 3D Reconstruction Technology using RGB-D Cameras (RGB-D 카메라 기반 실시간 3차원 복원기술 동향)

  • Kim, Y.H.;Park, J.Y.;Lee, J.S.
    • Electronics and Telecommunications Trends
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    • v.31 no.4
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    • pp.36-43
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    • 2016
  • 실 환경에 존재하는 모든 것을 3차원 모델로 쉽게 복원할 수 있을 것이라는 생각과 원격지에 있는 환경과 사람을 같은 공간에 있는 듯 상호작용할 수 있게 된 것은 그리 오래되지 않았다. 이는 일정 해상도를 보장해주는 RGB-D 센서의 개발과 이러한 센서들을 사용한 3차원 복원 관련 연구들이 활발히 수행되면서 가능하게 되었다. 본고에서는 널리 쓰이고 있는 RGB-D 카메라를 사용하여 실시간으로 때로는 온라인상에서 3차원으로 복원하고 가시화하는 기술에 대하여 살펴보고자 한다. 하나 또는 여러 개의 RGB_D 카메라를 사용하거나 모바일 장치에 장착된 RGB-D 센서를 사용하여 넓은 공간, 움직이는 사람, 온라인 상태의 환경 등을 실시간으로 복원하기 위한 기술들을 세부적으로 설명한다. 또한, 최근에 발표된 기술들이 다루고 있는 이슈들을 설명하고 향후 3차원 복원기술의 연구개발 방향에 대해서 논의한다.

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Policy agenda proposals from text mining analysis of patents and news articles (특허 및 뉴스 기사 텍스트 마이닝을 활용한 정책의제 제안)

  • Lee, Sae-Mi;Hong, Soon-Goo
    • Journal of Digital Convergence
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    • v.18 no.3
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    • pp.1-12
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    • 2020
  • The purpose of this study is to explore the trend of blockchain technology through analysis of patents and news articles using text mining, and to suggest the blockchain policy agenda by grasping social interests. For this purpose, 327 blockchain-related patent abstracts in Korea and 5,941 full-text online news articles were collected and preprocessed. 12 patent topics and 19 news topics were extracted with latent dirichlet allocation topic modeling. Analysis of patents showed that topics related to authentication and transaction accounted were largely predominant. Analysis of news articles showed that social interests are mainly concerned with cryptocurrency. Policy agendas were then derived for blockchain development. This study demonstrates the efficient and objective use of an automated technique for the analysis of large text documents. Additionally, specific policy agendas are proposed in this study which can inform future policy-making processes.

A Study on the Comprehensive Artificial Intelligence Utilization Analysis of Online Research Platform (온라인 리서치 플랫폼의 종합적인 인공지능 활용 분석 연구)

  • Lim, Hye-Won;Nam, Won-Suk
    • Journal of the Korea Convergence Society
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    • v.11 no.10
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    • pp.187-195
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    • 2020
  • The purpose of study is to find ways to improve online research work in the near future environment. Study methods and results are as follows. First, the basis of research was secured through theoretical consideration. Second, three types were derived by collecting examples. There are reward, execution and visualization. Third, comprehensive matrix and directions were derived through case analysis. According to the study, the most frequently used phase of AI technology were analysis, visualization, execution, casting, design, and matching, The direction of use of AI can be largely divided into work efficiency, human thought assistance, and changes in research methods. But the plan phase is generally scarce. Overall, the lack of in function is provided, including AI technology. At a time when research plans are becoming more important as users and products diversify.

A study about the effects of online commerce on the local retail commercial area (온라인 거래의 증가가 지역 소매 상권에 미치는 영향에 관한 연구)

  • Lee, Kangbae
    • Economic Analysis
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    • v.25 no.2
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    • pp.54-95
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    • 2019
  • The purpose of this study is to analyze quantitatively and qualitatively the effects of the increase in online shopping and its effects on real-world commercial outlets. The empirical analysis of this study is based on the results of "Census on Establishments" and "Online Shopping Survey" that cover 15 years, from 2002 to 2016. According to the results of this study, the increase in the number of online transactions affects the decrease in the number of stores in the real-world retail sector. However, non-specialized large stores and chain convenience stores showed an increase in the number of stores. In addition, the number of F&B stores increased the most in line with the increase in online transactions. This is because the increase in online transactions and in internet users led to the use of more delivery applications and the introduction of popular places on blogs or through social media. Street-level rents for medium and large-sized locations increased. In other words, it is seen that the demand for differentiated real-world stores that provide a good user experience increases, even though online transactions also increase. These results suggest that real-world stores should provide good user experiences in their physical locations with a certain size and assortment of goods.

Trends and Synchronization of Transaction Amounts by Product group of Online Malls in Online Shopping Malls (온라인쇼핑몰에서 Online몰의 상품군별 거래액 동향과 동조화 현상)

  • Choi, Soo-Ho;Choi, Jeong-Il
    • Journal of Digital Convergence
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    • v.19 no.2
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    • pp.151-160
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    • 2021
  • The purpose of this study is to classify online shopping malls into total transaction amount and transaction amount by product, and compare them to find synchronism. The data used in this study were collected from KOSIS for Food Services, Home Appliances·Electronics·Communication devices, Food & Beverages, House_Goods, Clothing, Computers & Peripheral Devices. The analysis period is a total of 44 monthly data from January 2017 to August 2020. In descriptive statistics, variability is relatively very stable in the case of food service, but is large in the case of clothing. In the correlation analysis, the total transaction amount shows a certain level of correlation with each product. In the analysis of the increase rate, Food Service increased by 1,039%, Home Appliances·Electronics·Communication devices increased by 325%, Food & Beverages increased by 296% and House Goods by 250%, but Clothing decreased slightly to 92.56%. In the Scatter Charts analysis, the distribution of Total transaction amount & House Goods, Total transaction amount & Home Appliances·Electronics·Communication devices is generally upward, showing a high level of synchronization. Due to Corona 19, we will have to continue our efforts to provide speed, stability, convenience and various services in preparation for the increase in transaction volume of online shopping malls.

Electronic Document Delivery Services (전자 문헌전달 서비스)

  • Kim, G.H.;Lee, Y.C.
    • Electronics and Telecommunications Trends
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    • v.13 no.1 s.49
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    • pp.52-62
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    • 1998
  • 본 고에서는 도서관의 문헌제공 서비스 차원에서 연구되고 있는 프로젝트와 전자 문헌전달 시스템의 프로토타입을 조사, 분석하였다. 전자 문헌전달 시스템이란 출판사나 도서관에서 기존의 인쇄물 출판 및 배포를 낭가하는 전자적인 방법, 즉 비디오텍스, 전자우편, 온라인 네트워크 및 CD-ROM 등을 통해 이용자에게 필요한 정보를 전달하는 시스템을 뜻한다. 현재 활용가능한 전자 문헌전달 시스템을 중심으로 그 이용 및 접속방법, 제공가능한 문헌의 형태, 서비스 제공에 필요한 기술적 장비와 네트워크에 관련된 요구사항 그리고 주제분야 및 비용 등에 관한 사항들을 중점적으로 조사하였다.