• Title/Summary/Keyword: 분석 플랫폼

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The Theory about Functional Evolution of the Business Model in the Webtoon Platform and the Strategy to Spin Off (웹툰 플랫폼의 비즈니스모델(BM)과 스핀오프(Spin off)전략의 생태계 진화연구)

  • Han, Chang-Wan
    • Cartoon and Animation Studies
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    • s.45
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    • pp.127-146
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    • 2016
  • The most presentative case would be functional evolution of webtoon as a contents business model, which has taken a initiating role in both innovated strategic experiments and outcomes. Most of all, There are the launch of PPS(Page Profit Sharing) sevice in NAVER webtoon, the paid service model implementation in KAKAOpage and potential business as an exclusive application in Lezhin entertainment This study to analyze these phenomina and results can figure out how the business model in the webtoon platform is developed in various fields diversely and what makes this model evolved and extended. Especially, the diversification of the webtoon platform has been received attention since it pursued the grouped spin off through horizontal convergence and transformational expansion among similar platforms, and also this shows that which factors enhance these phenomina to be controled and expanded. On the basis of the result of this study, we try to find the way to connect business vision of the domestic webtoon platform with affiliated business. Furthermore, it proposes the interrelationship between this and the business strategy for overseas in the globalized platform.

Consideration factors in implementing blockchain technology-based DID platform using ANP methodology - From a two-sided market perspective - (ANP 방법론을 이용한 블록체인 기술 기반 DID 플랫폼 구현 시 고려요소 - 양면시장 관점에서-)

  • Choi, Seungho;Youn, Daemyung
    • Journal of Korea Society of Industrial Information Systems
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    • v.27 no.4
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    • pp.127-136
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    • 2022
  • As technological development continues, platforms with more diverse structures are emerging. Existing research predicts that a new structure based on technology and innovation will affect the two-sided market. This study evaluated the decentralized identifier (DID) platform, a new platform based on blockchain technology, of the importance of this platform from the perspective of the two-sided market. Using the Analytic Network Process, IT, platform, and blockchain experts conducted a dual comparison survey. Data with a consistency ratio value of 0.1 or less were selected and analyzed for 12 data. The research results showed the importance of service quality, policy support, openness, and uncertainty. This study is expected to be used to support the development of strategic decision-making for blockchain and DID platform-based business companies.

Designing an Agricultural Data Sharing Platform for Digital Agriculture Data Utilization and Service Delivery (디지털 농업 데이터 활용 및 서비스 제공을 위한 농산업 데이터 공유 플랫폼 설계)

  • Seung-Jae Kim;Meong-Hun Lee;Jin-Gwang Koh
    • The Journal of Bigdata
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    • v.8 no.1
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    • pp.1-10
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    • 2023
  • This paper presents the design process of an agricultural data sharing platform intended to address major challenges faced by the domestic agricultural industry. The platform was designed with a user interface that prioritizes user requirements for ease of use and offers various analysis techniques to provide growth prediction for field environment, growth, management, and control data. Additionally, the platform supports File to DB and DB to DB linkage methods to ensure seamless linkage between the platform and farmhouses. The UI design process utilized HTML/CSS-based languages, JavaScript, and React to provide a comprehensive user experience from platform login to data upload, analysis, and detailed inquiry visualization. The study is expected to contribute to the development of Korean smart farm models and provide reliable data sets to agricultural industry sites and researchers.

Big Data Analysis Platform Technology R&D Trend through Patent Analysis (특허분석을 통한 빅데이터 분석 플랫폼 기술 개발 동향)

  • Rho, Seungmin
    • Journal of Digital Convergence
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    • v.12 no.9
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    • pp.169-175
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    • 2014
  • The ICT (information and communication technology) paradigm shift, including the burgeoning use of mobile, SNS, and smart devices, has resulted in an explosion of data along with lifestyle changes. We have thus arrived at the age of big data. In the meantime, a number of difficulties have arisen in terms of cost or on the technical side with respect to the use of large quantities of data. However, big data has begun to receive attention with the advent of efficient big data technologies such as Hadoop. In this paper, we discuss the patent analysis of big data platform technology research and development in major countries. Especially, we analyzed 2,568 patent applications and registered patents in four countries on December 2010.

KoBERT-based for parents with disabilities Implementation of Emotion Analysis Communication Platform (장애아 부모를 위한 KoBERT 기반 감정분석 소통 플랫폼 구현)

  • Jae-Hyung Ha;Ji-Hye Huh;Won-Jib Kim;Jung-Hun Lee;Woo-Jung Park
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.1014-1015
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    • 2023
  • 많은 장애아 부모들은 양육에 대한 스트레스, 미래에 대한 걱정으로 심리적으로 상당한 중압감을 느낀다. 이에 비해 매년 증가하는 장애인 수에 비해 장애아 부모 및 가족의 심리적·정신적 문제를 해결하기 위한 프로그램이 부족하다.[1] 이를 해결하고자 본 논문에서는 감정분석 소통 플랫폼을 제안한다. 제안하는 플랫폼은 KoBERT 모델을 fine-tunning 하여 사용자의 일기 속 감정을 분석하여 장애아를 둔 부모 및 가족 간의 소통을 돕는다. 성능평가는 제안하는 플랫폼의 주요 기능인 KoBERT 기반 감정분석의 성능을 확인하기위해 텍스트 분류 모델로 널리 사용되고 있는 LSTM, Bi-LSTM, GRU 모델 별 성능지표들과 비교 분석한다. 성능 평가결과 KoBERT 의 정확도가 다른 분류군의 정확도보다 평균 31.4% 높은 성능을 보였고, 이 외의 지표에서도 비교적 높은 성능을 기록했다.

Implementation of Web-based Grid Scheduling Platform (웹기반 그리드 스케줄링 플랫폼의 구현)

  • Kang, Sang-Sung;Kang, Oh-Han
    • Proceedings of the Korean Information Science Society Conference
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    • 2005.11a
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    • pp.1015-1017
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    • 2005
  • 본 논문에서는 웹기반의 그리드 컴퓨팅 환경에서 시스템을 모델링하고 스케줄링 기법을 시뮬레이션 할 수 있는 그리드 스케줄링 플랫폼을 설계하고 구현하였다. 구현한 웹기반 그리드 스케줄링 플랫폼은 자바 환경의 그리드 스케줄링 툴킷인 GridSim을 시뮬레이션 도구로 활용하였으며, 자원 모델링, 작업 모델링, 알고리즘 컴파일, 시뮬레이션을 웹 환경에서 빠르게 수행할 수 있다. 구축한 스케줄링 플랫폼은 향후 그리드 연구에 기반구조로 활용될 수 있으며 스케줄링 기법의 성능 분석을 위한 도구로 사용될 수 있다.

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B2F(Business to Family) Platform Analysis (B2F(Business to Family) 플랫폼 연구)

  • Lee Kang-Shik
    • 한국정보통신설비학회:학술대회논문집
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    • 2003.08a
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    • pp.353-356
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    • 2003
  • B2F(Business to Family)플랫폼은 각 가정의 네트워크 시스템에 관리 가능한 서비스를 제공하고, 이러한 서비스의 운영 플랫폼인 서비스 게이트웨이는 원격에서 관리할 수 있는 서비스 응용 소프트웨어를 실행할 수 있는 환경을 제공하며, 이에 대한 라이프 사이클을 관리할 수 있게 하는 소프트웨어 프레임워크이다. 이를 기반으로 하는 새로운 서비스를 공급함으로써 부가가치를 창출할 수 있는 인프라 환경을 제공할 수 있는 B2F플랫폼에 대한 요구 사항 분석과 구조에 대하여 서술하였다.

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Trends of Open Home Service Platform Technologies (개방형 홈서비스 플랫폼 기술 동향)

  • Park, H.J.;PArk, K.R.
    • Electronics and Telecommunications Trends
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    • v.19 no.5 s.89
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    • pp.1-8
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    • 2004
  • 홈네트워크에서의 개방형 개념은 관련 사업자가 하나의 공통된 서비스 플랫폼을 통해 기존 및 향후 신규서비스를 용이하게 수용하며, 효율적으로 통합 관리할 수 있는 인프라를 제공한다. 본 고에서는 홈네트워크를 비롯하여 텔레매틱스, 모바일 환경 등의 임베디드 시스템 상에서 서비스 플랫폼 환경으로 제시되고있는 OSGi 기반의 개방형 서비스 플랫폼의 특징 및 구조, 표준화 및 국내외 연구 개발 동향을 기술한다

A Study on Investors' Investment Decision Factors in Platform Startup (플랫폼 스타트업에 대한 투자결정요인에 관한 연구)

  • Tae Hwan Heo;Kyung Se Min
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.19 no.2
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    • pp.109-124
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    • 2024
  • The value of platform companies is rapidly increasing, exerting significant influence across industries. Identifying and fostering promising platform companies is crucial for enhancing national competitiveness. Consequently, tailored evaluation standards are necessary for such companies. This study derived investment decision factors specific to platform companies and compared the importance of each factor using Analytic Hierarchy Process (AHP) analysis. Key factors included platform characteristics, finance, entrepreneur (team), market, and product/service attributes. The findings revealed that platform characteristics were deemed the most crucial factor for investors. Specifically, factors such as platform size, ease of value fixation, core participant group, and data value were identified as pertinent for evaluating platform companies. Moreover, analysis distinguished between investors with prior platform investment experience and those without. Significantly, investors with platform investment experience placed greater emphasis on the value of data secured by platform Furthermore, it was observed that investors prioritized future value and growth potential over current value when investing in platform. Notably, founder/team characteristics, typically highly regarded in previous studies, ranked lower in importance in this study, highlighting a shift in focus. The discrepancy between this study's results and prior research on investment decision factors is attributed to the specificity of the questions posed. By focusing on investment decision factors for platform startups rather than generic startup inquiries, investor responses aligned more closely with platform-focused considerations. Given the burgeoning venture investment landscape, there's a growing need for detailed research on startups within specific sectors like IT, travel, and biotech. This approach can replace extensive research covering all startup types to identify investment decision factors suited to the characteristics of each individual industry.

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A Study on the Construction Plan of Smart Fish Farm Platform in the Future (미래 스마트 양식 플랫폼의 구축방안에 대한 연구)

  • Choi, Joowon;Lee, Jongsub;Kim, Youngae;Shin, Yongtae
    • KIPS Transactions on Computer and Communication Systems
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    • v.9 no.7
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    • pp.157-164
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    • 2020
  • As the consumption of fishery products continues to increase, aquaculture industry has emerged instead of fishing industry facing limitations of fish stock resources. Recently, smart fish farming industry has rapidly developed through convergence with 4th Industrial Revolution technology. Accordingly, it is important to derive a future model of smart fish farming platforms in order to secure the superiority of the aquaculture industry and the technology standard hegemony. In this study, the future direction of smart fish farm platform was derived through the analysis of environment related to politics, economy, society, and technology related to smart fish farming by applying PEST methodology of macro-environment analysis. It is expected that it will help the public and industrial circles in planning and implementing related projects by including the entire process of value chain of aquaculture industry of breeding, production, management and distribution, and by presenting advanced models based on artificial intelligence and digital twin.