• Title/Summary/Keyword: Convergence Platform

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A Study on Development of Food Delivery Platform based on O2O -Focusing on Domestic and Overseas Cases (O2O 기반 식품 배달 플랫폼 발전 방안 연구 -국내외 사례를 중심으로-)

  • Park, Seojin;Kim, Seung-In
    • Journal of the Korea Convergence Society
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    • v.9 no.9
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    • pp.159-165
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    • 2018
  • In this research, the researcher is seeking how to develop growing O2O food delivery platform service. The food delivery platform is newly creating the profit system which wasn't exist before by adding up IT and new technologies, and young generations who are used to mobile environment have became main consumers. For the methodology of research, internal and external delivery platform cases research is used to suggest the development idea. Food delivery platform market is showing an active development like business expansion by M&A of IT, distribution, manufacturing, circulation and it still has to attract the constant use of consumer through zero commission, discount events. Further research is required for various delivery platform channel and consumer's value of overall experience, above hereafter food delivery platform based on this research.

Numerical Modeling and Experiment for Single Grid-Based Phase-Contrast X-Ray Imaging

  • Lim, Hyunwoo;Lee, Hunwoo;Cho, Hyosung;Seo, Changwoo;Lee, Sooyeul;Chae, Byunggyu
    • Progress in Medical Physics
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    • v.28 no.3
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    • pp.83-91
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    • 2017
  • In this work, we investigated the recently proposed phase-contrast x-ray imaging (PCXI) technique, the so-called single grid-based PCXI, which has great simplicity and minimal requirements on the setup alignment. It allows for imaging of smaller features and variations in the examined sample than conventional attenuation-based x-ray imaging with lower x-ray dose. We performed a systematic simulation using a simulation platform developed by us to investigate the image characteristics. We also performed a preliminary PCXI experiment using an established a table-top setup to demonstrate the performance of the simulation platform. The system consists of an x-ray tube ($50kV_p$, 5 mAs), a focused-linear grid (200-lines/inch), and a flat-panel detector ($48-{\mu}m$ pixel size). According to our results, the simulated contrast of phase images was much enhanced, compared to that of the absorption images. The scattering length scale estimated for a given simulation condition was about 117 nm. It was very similar, at least qualitatively, to the experimental contrast, which demonstrates the performance of the simulation platform. We also found that the level of the phase gradient of oriented structures strongly depended on the orientation of the structure relative to that of linear grids.

An Open Medical Platform to Share Source Code and Various Pre-Trained Weights for Models to Use in Deep Learning Research

  • Sungchul Kim;Sungman Cho;Kyungjin Cho;Jiyeon Seo;Yujin Nam;Jooyoung Park;Kyuri Kim;Daeun Kim;Jeongeun Hwang;Jihye Yun;Miso Jang;Hyunna Lee;Namkug Kim
    • Korean Journal of Radiology
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    • v.22 no.12
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    • pp.2073-2081
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    • 2021
  • Deep learning-based applications have great potential to enhance the quality of medical services. The power of deep learning depends on open databases and innovation. Radiologists can act as important mediators between deep learning and medicine by simultaneously playing pioneering and gatekeeping roles. The application of deep learning technology in medicine is sometimes restricted by ethical or legal issues, including patient privacy and confidentiality, data ownership, and limitations in patient agreement. In this paper, we present an open platform, MI2RLNet, for sharing source code and various pre-trained weights for models to use in downstream tasks, including education, application, and transfer learning, to encourage deep learning research in radiology. In addition, we describe how to use this open platform in the GitHub environment. Our source code and models may contribute to further deep learning research in radiology, which may facilitate applications in medicine and healthcare, especially in medical imaging, in the near future. All code is available at https://github.com/mi2rl/MI2RLNet.

A Design of N-Screen Convergence Presentation Tier by using Infographics Based on N-Tier Platform (N-Tier 플랫폼 환경에서 인포그래픽을 기반으로 N-스크린 융합 표현 계층의 설계)

  • Lee, Myeong-Ho
    • Journal of the Korea Convergence Society
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    • v.5 no.4
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    • pp.9-13
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    • 2014
  • The environment of IT is, currently, on its developing process to the period of cloud computing, big data, and business intelligence which not only enable computer and internet to be utilized like the water or the air, but also be a new motivating force for its advance. In the respect of various interactions and Infographics, however, it is requiring more demands from its users, and additional functions which cannot be provided by the Web Browser. In this study, therefore, it will be suggested a design of N-screen convergence presentation tier by using infographics based on N-Tier platform.

Design and Implementation of Group-Communication Terminal over WiBro Network (와이브로망 기반의 그룹 통신 단말 설계 및 구현)

  • Choi, You-Hee;Kim, Hyung-Joo;Oh, Moon-Kyun
    • Proceedings of the Korean Information Science Society Conference
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    • 2010.06d
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    • pp.449-452
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    • 2010
  • 현재 출시되고 있는 휴대 단말기는 기존의 이동통신망뿐만 아니라 와이파이(WiFi), 와이브로(WiBro) 망등 다양한 무선망을 지원하고 있다. 이러한 단말기를 통해 기존의 이동통신망 기반 서비스뿐만 아니라 무선 IP 네트워크 기반의 다양한 서비스들이 제공되고 있으며, 산업 현장에서 실시간 그룹 통신을 지원하기 위해 사용되는 무전기 및 TRS 등의 시스템을 대체할 수 있는 그룹 통신 기술의 대체 가능성에 대한 기대도 증가하고 있다. 그러나, 무전기 및 TRS의 그룹 통신 기능을 지원하고, 동시에 휴대폰의 개별 통신 기능도 지원할 수 있게 되기 위해서는 PTT 발언권 송신 지연 최소화, 개별 통신과 그룹 통신 서비스 통합 등 다양한 요소들에 대한 고려가 필요하다. 본 논문에서는 무선 IP망인 와이브로망 기반의 개별 통신과 그룹 통신을 동시에 지원하는 단말 시스템 설계 및 구현 방법에 대해 제안하고자 한다.

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Big Data Platform Case Analysis and Deployment Strategies to Revitalize the Data Economy (데이터 경제 활성화를 위한 빅데이터 플랫폼 사례 분석 및 구축 전략)

  • Kim, Baehyun
    • Convergence Security Journal
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    • v.21 no.1
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    • pp.73-78
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    • 2021
  • Big data is a key driver of the fourth industrial revolution, represented by ultra-connected, ultra-intelligence, and ultra-convergence, and it is important to create innovation and share, link, and utilize data to discover business models. However, it is difficult to secure and utilize high-quality and abundant data when big data platforms are built in a regular manner without considering shared-linked. Therefore, this paper presents the development direction of big data platform infrastructure by comparing and analyzing various cases of big data platforms to enable data production, construction, linkage, and distribution.

Busan Tourism Industry applying OECD Tourism Policy and ICT Convergence Platform (OECD 관광정책과 ICT 융합 플랫폼을 적용한 부산관광산업)

  • Lim, Yong-Suk;Jung, Ho-Jin;Lee, Jung-Won
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.12
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    • pp.871-879
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    • 2017
  • The purpose of this study is to propose a Busan tourism industry in which the 2016 OECD Tourism policy and ICT convergence platform are applied. OECD proposed 3 policies to promote the tourism industry: First, to maintain the competitiveness of the tourism industry as well as improve its efficiency and sustainability, second, to establish a seamless traffic system, and third, to build a response to the sharing economy. Centering on the OECD's three policies, we propose the developmental possibilities of tourism in Busan. At the same time, we suggest the necessity to build an ICT convergence platform that will help foster the industry. In building an ICT convergence platform, we especially focus on the necessity of: 1. Sharing and creating experience-based interactive contents on the software side, and 2. Developing high quality user experience (UX) and providing a data analysis-based customized service on the hardware side. In addition, we insist on the establishment of the Tourism Promotion Agency for the continuous performance and management of Busan tourism industry. The study ultimately suggests that the construction of ICT convergence platform based on OECD tourism policy can result in the expected outcomes of high effects with low cost for both consumers and suppliers related to the tourism industry.

A Proposal for the Application of Multi-Platform Convergence for Intellectual Property-Based Games (지식재산권 기반 게임의 융복합 멀티 플랫폼 활용 방안 제안)

  • Lee, Hyun-Ku;Kim, Tae-Gyu
    • Journal of Digital Convergence
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    • v.18 no.2
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    • pp.421-426
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    • 2020
  • The global game market is growing evenly across a variety of platforms, but in the Korean game market is a decline in growth rates on PC and mobile platforms, which account for more than 80% of the total Korean game market, which requires an alternative. In this study, propose a multi-platform launch of IP-based games as a way to increase the growth rate of the Korean game market. It has been analyzed that multi-platform launch methods can be divided into Stand-alone Multi-platform method, Interlocking multi-platform method, and Upgrade-interlinking Multi-platform method, respectively, and the effect of expanding, providing more satisfactory game play environment and preventing them from escaping to competitive games. Given the limited case analysis in this study, further studies are needed to propose more effective multi-platform utilization measures.

Analysis on Trends of Artworks Blockchain Platform

  • Lee, Yo-Seob
    • International Journal of Advanced Culture Technology
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    • v.7 no.3
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    • pp.149-157
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    • 2019
  • Recently, the blockchain platform is changing the art market. Changes are taking place in many areas, including artists, collectors, art investors, and auction. The platform that provides distribution history information on artworks on a blockchain basis can be used when information on the work history is suspected or needs verification, and can be used to manage the distribution history information of stolen and lost artworks and confiscated artworks by the police. Several companies currently operate these platforms, but they operate various blockchain platforms according to their contents. In this paper, we will compare and analyze features of artworks blockchain platform.

Design and Implementation of AI Recommendation Platform for Commercial Services

  • Jong-Eon Lee
    • International journal of advanced smart convergence
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    • v.12 no.4
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    • pp.202-207
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    • 2023
  • In this paper, we discuss the design and implementation of a recommendation platform actually built in the field. We survey deep learning-based recommendation models that are effective in reflecting individual user characteristics. The recently proposed RNN-based sequential recommendation models reflect individual user characteristics well. The recommendation platform we proposed has an architecture that can collect, store, and process big data from a company's commercial services. Our recommendation platform provides service providers with intuitive tools to evaluate and apply timely optimized recommendation models. In the model evaluation we performed, RNN-based sequential recommendation models showed high scores.