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A Study on Creative Cognition of Language based concept Generation of Game Graphics (언어기반 게임그래픽 디자인 발상의 창의적 인지에 관한 연구)

  • Huh, Yoon-Jung
    • Journal of Internet Computing and Services
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    • v.12 no.5
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    • pp.171-179
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    • 2011
  • In this paper it is hypothesized that word stimuli that are presented by Google’s search word, would improve the quality of the design solution, so this research examines the effect of related search word stimuli in concept generation and analyzes the results through the processes of creative cognition. In the process of concept generation, words are given as stimuli which are generated through Google's related search and these search words are given by 5 levels. Google search is based on the collaboration philosophy. People's participation and contribution recreate knowledge and information, so these renewed and related search words update in real time by people are used as stimuli. Two problems are provided with related search words. After the design concept generation the results are analyzed by 3 bases: the usage of related search words and those of frequency, creativity, and Finke's 12 Geneplore model. These are the results of the research. Many levels of related search words are used in design concept generation but especially higher levels which are more related to search words are more used than lower levels. The usage of multi words and conjunction with higher levels and lower levels words are observed in creative results. On the creative cognitive processes, it is more creative when using association and mental transformation with the related search words than using the related search words simply. Creative outputs also use conceptual interpretation, functional inference, and contextual shifting of creative cognitive processes of Finke's 12 Geneplore model.

The emergence and ensuing typology of global ebook platform -The case study on Google eBook, Amazon Kindle, Apple iBooks Store (글로벌 전자책 플랫폼의 부상 과정과 유형에 관한 연구 -구글 이북, 아마존 킨들, 애플 아이북스 스토어에 대한 사례연구)

  • Chang, Yong-Ho;Kong, Byoung-Hun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.8
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    • pp.3389-3404
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    • 2012
  • Based on the case study methods, the study analyzes emergence and ensuing typology of global ebook platforms such as Google eBook, Amazon Kindle, iBooks Store. Global ebook platforms show adaptation process responding to rapidly changing digital technological envirment and it's fitness landscape. The critical elements in its emerging process are the distinct selection criteria, the degree of resource abundance and the search process based on open innovation. Based on these critical elements, the global platforms show speciation process, so called niche creation and are evolving into a variety of the typology based on the initial condition of key resource which makes the platform emerge and grow. Each global ebook platforms is evolving into open platform, hybrid platform, closed platform. Google eBook has openness and extensibility due to a variety of devices based on Android and a direct involvement of actors. Amazon Kindle has developed from a online bookstore and into the hybrid platform which have not only closed quality but also openness with ebook devices and mobile network. iBooks Store has developed into the closed platform through the agency model based on competitive hardwares and closed quality with iphone and ipad.

Analysis of interest in implant using a big data: A web-based study (빅 데이터를 이용한 임플란트에 대한 관심도 분석: 웹 기반 연구)

  • Kong, Hyun-Jun
    • The Journal of Korean Academy of Prosthodontics
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    • v.59 no.2
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    • pp.164-172
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    • 2021
  • Purpose: The purpose of this study was to analyze the level of interest that common Internet users have in dental implant using a Google Trends, and to compare the level of interest with big data from National Health Insurance Service. Materials and methods: Google Trends provides a relative search volume for search keywords, which is the average data that visualizes the frequency of searches for those keywords over a specific period of time. Implant was selected as the search keyword to evaluate changes in time flows of general Internet users' interest from 2015 to 2019 with trend line and 6 month moving average. Relative search volume for implant was analyzed with the number of patients who received National Health Insurance coverage for implant. Interest in implant and conventional denture was compared and popular related search keywords were analyzed. Results: Relative search volume for implant has increased gradually and showed a significant positive correlation with the total number of patients (P<.01). Interest in implant was higher than denture for most of the time. Keywords related to implant cost were most frequently observed in all years and related search on implant procedure was increasing. Conclusion: Within the limitations of this study, the public interest in dental implant was gradually increasing and specific areas of interest were changing. Web-based Google Trends data was also compared with traditional data and significant correlation was confirmed.

Exploring the leading indicator and time series analysis on the diffusion of big data in Korea (빅데이터 확산에 대한 선행 데이터 탐색 및 국내 확산 과정의 시계열 분석)

  • Choi, Jin;Kim, YoungJun
    • Journal of Technology Innovation
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    • v.26 no.4
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    • pp.57-97
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    • 2018
  • Big Data has spread rapidly in various industries since 2010. We analyzed the general characteristics of big data through time series analysis on the initial process of spreading big data and investigated the difference of diffusion characteristics in each industry. By analyzing papers, patents, news data, and Google Trend using Big Data as a keyword, we searched for data corresponding to the leading indicator, and confirmed that trends in news and Google Trend preceded the papers and patents by two years. We used Google Trend to compare the introduction period of domestic, US, Japan, and China and quantify the process of spreading the eight main industries in Korea through news data. Through this study, we present an empirical research method on how the general technology spreads in several industry sectors and we have figured out where the spreading speed difference of big data originated in each industry in Korea. The method presented here can be used to analyze the technology introduced from foreign countries in developing countries because it can be analyzed in diffusion process of other technologies besides big data and corresponds to the diffusion of technology keywords in a specific country. And, on the corporate side, this approach shows what path is effective when it comes to launching and spreading new technologies.

A Case study analysing the users of archives through web analytics (웹애널리틱스를 이용한 아카이브 이용자 분석 사례 연구)

  • Lee, Hyoeun;Yim, Jin Hee
    • The Korean Journal of Archival Studies
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    • no.45
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    • pp.83-120
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    • 2015
  • Record Information Services is an aggressive action of connecting documentaries focusing on the information needs of user. However, recent studies on the parliament's written information service recognize the necessity that it should segment the user's information requests, and provide personalized service, but have not discussed for specific cases or measures. While the importance of Web services written with the proliferation of information and popularization of the Web is emerging right to know but, it is not being performed properly by lack of sufficient manpower and budget along with lack of recognition in hands-on sites upon the user analysis. So, while increasing the efficiency of the hands-on workers of Record Information Services, the introduction of analytical tools that can be utilized in low budget agencies is needed. Web analytics is to analyze the behavior by analyzing Web logs which web users have left you visit the site. To estimate the behavior they want to request information of the analyzed Web user aims to provide a Web service, the Web service further continued improvement. There are several types that include among them Google Analytics offering a variety of analysis items for free and all over the world, many people are already using. This study introduces a Google Analytics web analytics focused and proposes a service improvement plan with specific web user segmentation analyzes the cases of Korea Democracy Foundation of Open Archives introduces them to the actual institutions.

A Bibliometric Analysis of the Major Korean Journals Indexed in 2020 Google Scholar Metrics (2020 구글 스칼라 매트릭스에 색인된 국내 주요 학술지에 대한 계량서지학적 분석)

  • Kim, Donghun;Kim, Kyuli;Zhu, Yongjun
    • Journal of the Korean Society for information Management
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    • v.38 no.1
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    • pp.53-69
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    • 2021
  • This study aims to understand the research landscape of South Korea using the data of 2020 Google Scholar Metrics. To achieve the goal, we constructed and analyzed four types of networks including the university collaboration network, the keyword co-occurrence network, the journal citation network, and the discipline citation network. Through the analysis of the university collaboration network, we found major universities such as Seoul National University, Keimyung University, and Sungkyunkwan University that have led collaborative research. Job related keywords such as job change intention and job satisfaction have been frequently studied with other keywords. Through the analysis of the journal citation network, we found multiple journals such as The Journal of the Korea Contents Association, Korean Journal of Sociology, and Korean Journal of Culture and Social Issues that have been widely cited by the other journals and influenced them. Finally, Education, Business administration, and Social welfare were identified as the top influential disciplines that have influenced other disciplines through the knowledge diffusion. The study is the first of its kind to use the data of Google Scholar Metrics and conduct a stepwise network analysis (e.g., keyword, journal, and discipline) to broadly understand the research landscape of South Korea. Our results can be used by government agencies and universities to develop effective strategies of promoting university collaboration and interdisciplinary research.

Subjectivity study of Cooking Major College Student according to Cooking Practice Subject's Untact Online Class -Focusing on using Google Classroom- (조리실습과목의 비대면 온라인수업에 따른 조리전공 대학생의 주관성 연구 -구글 클래스룸 활용 중심-)

  • Lee, Kang-Yeon;Kim, Chan-Woo
    • The Journal of the Korea Contents Association
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    • v.21 no.4
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    • pp.292-302
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    • 2021
  • The purpose of this study was to use Google Classroom for Cooking Practice Subject. We would like to present a practice class operation method suitable for the current educational environment and conditions. If the Untact Class in the Practice Subject is conducted in the future, we want to cultivate the core competencies and practical skills of the major. In addition, Q Methodology, which can be extracted by type, was applied by analyzing subjective opinions or perception structures for the cooking major students who are currently experiencing the curriculum. The survey period was conducted from March 23 to April 30, 2020 for first-year Cooking Major students taking the Cooking Practice Subject. Type 1 (N=11): Development of cooking training kit, Type 2 (N=7): Special lectures from industry experts, Type 3 (N=7): Development of practice form self-directed learning, respectively. Based on this study, it is expected to contribute to the Q Methodology on the development of the curriculum for the operation of the cooking practice subject, the effectiveness of education, and the application of learning methods.

The Analysis of Changes in Forest Status and Deforestation of North Korea's DMZ Using RapidEye Satellite Imagery and Google Earth (RapidEye 위성영상과 구글 어스를 활용한 북한 DMZ의 산림현황 및 산림황폐지 변화 분석)

  • KWON, Sookyung;KIM, Eunhee;LIM, Joongbin;YANG, A-Ram
    • Journal of the Korean Association of Geographic Information Studies
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    • v.24 no.4
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    • pp.113-126
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    • 2021
  • This study was conducted to analyze the forest status and deforestation area changes of the DMZ region in North Korea based on satellite images. Using growing and non-growing season's RapidEye satellite images, land cover of the North Korean DMZ was classified into stocking land(conifer, deciduous, mixed), deforested land(unstocked mountain, cultivated mountain, bare mountain), and non-forest areas. Deforestation rates in the Yeonan-baecheon, Beopdong-Pyeonggang, Heoyang-Geumgang and Tongcheon-Goseong district were calculated as 14.24%, 16.75%, 5.98%, and 16.63% respectively. Forest fire and land use change of forest were considered as the main causes of deforestation of DMZ. Changes in deforestation area were analyzed through Google Earth images. As a results, it was shown that the area of deforestation was on a decreasing trend. This study can be used as basic data for establishing inter-Korean border region's forest cooperation strategies by providing forest spatial information on the North Korea's DMZ.

HTML5 and Mobile Framework Trends for Mobile Web Applications (모바일 웹 앱을 위한 HTML5 및 프레임워크 동향)

  • Chae, W.S.;Park, C.W.;Choi, W.;Ahn, S.Y.;Roh, B.S.;Lee, J.W.
    • Electronics and Telecommunications Trends
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    • v.27 no.3
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    • pp.92-100
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    • 2012
  • 애플과 구글이 주도한 모바일 앱 장터에 새로운 변화가 찾아올 것으로 예상된다. HTML5(HyperText Mark-up Language 5)로 무장한 모바일 웹 앱의 등장은 모바일 인터넷 환경의 비약적인 발전과 고사양의 스마트기기 보급 확대에 힘입어 모바일 앱의 생태계를 재구성하고 있다. 본고에서는 애플리케이션 플랫폼의 발달 과정과 모바일 웹 환경에서의 HTML5의 역할에 대해서 알아보고 모바일 웹 프레임워크에 대해 정리하였다.

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Research and Standardization Trends on Smart TV (스마트TV 기술 및 표준화 동향)

  • Kim, K.H.;Ahn, C.H.;Hong, J.W.
    • Electronics and Telecommunications Trends
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    • v.26 no.3
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    • pp.37-49
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    • 2011
  • 최근 방송 분야에서의 가장 큰 화두는 3DTV와 스마트TV라 할 수 있다. 이른바 '아이폰 쇼크'라고 하는 스마트폰이 불러온 통신 시장의 패러다임 변화를 경험하는 한편 세계 TV 시장의 50% 이상을 석권하고 있는 우리나라로서는 구글과 같은 플랫폼 사업자가 주도하고 있는 TV의 스마트화를 간과할 수 없는 상황이다. 본 고에서는 스마트TV를 위해 필요한 기술들과 산업체, 연구기관에서 최근 추진되고 있는 관련 기술 및 표준화 동향에 대해 소개한다.

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