• Title/Summary/Keyword: research data platform

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Data Framework Design of EDISON 2.0 Digital Platform for Convergence Research

  • Sunggeun Han;Jaegwang Lee;Inho Jeon;Jeongcheol Lee;Hoon Choi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.8
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    • pp.2292-2313
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    • 2023
  • With improving computing performance, various digital platforms are being developed to enable easily utilization of high-performance computing environments. EDISON 1.0 is an online simulation platform widely used in computational science and engineering education. As the research paradigm changes, the demand for developing the EDISON 1.0 platform centered on simulation into the EDISON 2.0 platform centered on data and artificial intelligence is growing. Herein, a data framework, a core module for data-centric research on EDISON 2.0 digital platform, is proposed. The proposed data framework provides the following three functions. First, it provides a data repository suitable for the data lifecycle to increase research reproducibility. Second, it provides a new data model that can integrate, manage, search, and utilize heterogeneous data to support a data-driven interdisciplinary convergence research environment. Finally, it provides an exploratory data analysis (EDA) service and data enrichment using an AI model, both developed to strengthen data reliability and maximize the efficiency and effectiveness of research endeavors. Using the EDISON 2.0 data framework, researchers can conduct interdisciplinary convergence research using heterogeneous data and easily perform data pre-processing through the web-based UI. Further, it presents the opportunity to leverage the derived data obtained through AI technology to gain insights and create new research topics.

Real-time Multi-device Control System Implementation for Natural User Interactive Platform

  • Kim, Myoung-Jin;Hwang, Tae-min;Chae, Sung-Hun;Kim, Min-Joon;Moon, Yeon-Kug;Kim, SeungJun
    • Journal of Internet Computing and Services
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    • v.23 no.1
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    • pp.19-29
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    • 2022
  • Natural user interface (NUI) is used for the natural motion interface without using a specific device or tool like a mouse, keyboards, and pens. Recently, as non-contact sensor-based interaction technologies for recognizing human motion, gestures, voice, and gaze have been actively studied, an environment has been prepared that can provide more diverse contents based on various interaction methods compared to existing methods. However, as the number of sensors device is rapidly increasing, the system using a lot of sensors can suffer from a lack of computational resources. To address this problem, we proposed a real-time multi-device control system for natural interactive platform. In the proposed system, we classified two types of devices as the HC devices such as high-end commercial sensor and the LC devices such astraditional monitoring sensor with low-cost. we adopt each device manager to control efficiently. we demonstrate a proposed system works properly with user behavior such as gestures, motions, gazes, and voices.

Development of a National Research Data Platform for Sharing and Utilizing Research Data

  • Shin, Youngho;Um, Jungho;Seo, Dongmin;Shin, Sungho
    • Journal of Information Science Theory and Practice
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    • v.10 no.spc
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    • pp.25-38
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    • 2022
  • Research data means data used or created in the course of research or experiments. Research data is very important for validation of research conducted and for use in future research and projects. Recently, convergence research between various fields and international cooperation has been continuously done due to the explosive increase of research data and the increase in the complexity of science and technology. Developed countries are actively promoting open science policies that share research results and processes to create new knowledge and values through convergence research. Communities to promote the sharing and utilization of research data such as RDA (Research Data Alliance) and COAR (Confederation of Open Access Repositories) are active, and various platforms for managing and sharing research data are being developed and used. OpenAIRE (Open Access Infrastructure for Research In Europe), a research data platform in Europe, ARDC (Australian Research Data Commons) in Australia, and IRDB (Institutional Repositories DataBase) in Japan provide research data or research data related services. Korea has been establishing and implementing a research data sharing and utilization strategy to promote the sharing and utilization of research data at the national level, led by the central government. Based on this strategy, KISTI has been building a Korean research data platform (DataON) since 2018, and has been providing research data sharing and utilization services to users since January 2020. This paper reviews the characteristics of DataON and how it is used for research by showing its applications.

A Study on the Mediating Effect of Motivation Factors between the Quality of Research Data Metadata and the Activation of Research Data Platform (연구데이터 메타데이터의 품질과 연구데이터플랫폼의 활성화의 관계에서 동기부여 요인의 매개효과 연구)

  • Seong-Eun Park
    • Journal of the Korean Society for Library and Information Science
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    • v.57 no.3
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    • pp.325-350
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    • 2023
  • This study focuses on the impact of research data metadata quality evaluation index on the revitalization of K-BDS, a research data platform in the bio field, and examines the mediating effect of motivation factors for utilizing the platform. The investigation employs a structural equation model analysis and bootstrap analysis to explore the interrelationships among the three variables. The findings demonstrate that researchers who prioritize the quality of metadata display higher motivation to use the research data platform, leading to an intention to activate the platform. The study also confirms the mediating effect of motivation factors. Moreover, a comprehensive understanding of the sub-factors within each variable is attained through regression analysis and Sobel test. The results highlight that enhancing searchability is crucial to activate research data sharing in the bio field, while improving discoverability is vital for research data reuse. Interestingly, the study reveals that citationability does not significantly impact platform activation. As a conclusion, to foster platform activation, it is imperative to provide systematic support by enhancing metadata quality. This improvement can not only increase trust in the platform but also institutionally solidify the benefits of citation.

A Study on Metadata Interoperability between the National Research Data Platform and the Bio Research Data Platform (국가 연구데이터플랫폼과 바이오 연구데이터플랫폼의 메타데이터 상호운용성에 관한 연구)

  • Park, Seong-Eun;Ko, Young Man
    • Journal of the Korean Society for information Management
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    • v.39 no.2
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    • pp.159-202
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    • 2022
  • The 'National Research Data Platform' and the 'Bio Research Data Platform' were recently built and each is actively creating an ecosystem. It is built independently based on other metadata standards, which may cause future interoperability issues. The purpose of this study is to propose a basis for metadata interoperability between the two platforms. To this end, the metadata standards of each platform were analyzed, crosswork targets were selected and mapped, and the suitability of the mapped elements was verified through experts in the bio field. And more appropriate mapping elements were recommended to derive metadata elements for datasets and files. Through this, it was possible to confirm the possibility that the metadata of each platform could be semantically linked and the basis for securing interoperability.

A Study on the Distribution Platform Business based on Shinsegae Group

  • KIM, So Hyung
    • Journal of Distribution Science
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    • v.19 no.4
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    • pp.15-24
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    • 2021
  • Purpose: This study deals with the strategic direction of platform business in the 4th Industrial Revolution. In a changing industrial environment, companies that leverage platform businesses can benefit greatly. Platform business is especially important in the distribution industry, so a variety of case analysis studies are needed. In this study, the Shinsegae Group, a platform leader, was selected and case-analyzed to learn more about the growth and development of platform businesses in the distribution industry. Research design, data and Methodology: Various literature research on platform business and secondary data of the distribution industry were reviewed. In this study, additionally, the interview method was used to discuss the development of more platform businesses through the Shinsegae and E-mart related departments. Results: This study investigated the development process and success of distribution platforms. First, a successful platform business builds multi distribution channels. Second, a successful distribution platform business attracts many participants. Third, a successful distribution develops various private label products to build a sustainable platform system. Conclusions and Implications: This study could provide a good example for the growth of companies with distribution platform business. Further implications were discussed.

The Development of Modularized Post Processing GPS Software Receiving Platform using MATLAB Simulink

  • Kim, Ghang-Ho;So, Hyoung-Min;Jeon, Sang-Hoon;Kee, Chang-Don;Cho, Young-Su;Choi, Wansik
    • International Journal of Aeronautical and Space Sciences
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    • v.9 no.2
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    • pp.121-128
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    • 2008
  • Modularized GPS software defined radio (SDR) has many advantages of applying and modifying algorithm. Hardware based GPS receiver uses many hardware parts (such as RF front, correlators, CPU and other peripherals) that process tracked signal and navigation data to calculate user position, while SDR uses software modules, which run on general purpose CPU platform or embedded DSP. SDR does not have to change hardware part and is not limited by hardware capability when new processing algorithm is applied. The weakness of SDR is that software correlation takes lots of processing time. However, in these days the evolution of processing power of MPU and DSP leads the competitiveness of SDR against the hardware GPS receiver. This paper shows a study of modulization of GPS software platform and it presents development of the GNSS software platform using MATLAB Simulink™. We focus on post processing SDR platform which is usually adapted in research area. The main functions of SDR are GPS signal acquisition, signal tracking, decoding navigation data and calculating stand alone user position from stored data that was down converted and sampled intermediate frequency (IF) data. Each module of SDR platform is categorized by function for applicability for applying for other frequency and GPS signal easily. The developed software platform is tested using stored data which is down-converted and sampled IF data file. The test results present that the software platform calculates user position properly.

CityDataHub-based Smart-Platform Design for Dissemination of Smart City Data Hub (스마트시티 데이터허브 보급을 위한 시티데이터허브 기반 스마트 플랫폼 설계)

  • Lee, Geum Bi;Kim, Ki Su;Kang, Seung Hag
    • The Journal of Information Systems
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    • v.31 no.4
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    • pp.101-121
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    • 2022
  • Purpose This study aims to introduce a Smart-Platform for solving numerous problems in urban cities and improving citizens' convenience. This Smart-Platform is achieved by studying the City Data Hub technology to build and spread a Smart City Data Hub . Design/methodology/approach In this study, we analyzed the functions in detail and interlocking flows specific to the published City Data Hub module and designed a Smart-Platform with additional UI-based functions to improve users' convenience based on our previous experience. Findings The City Data Hub will provide a modular data hub platform functionality for application by different stakeholders. However, further research on detailed functionality and experience in interworking legacy systems will be required to apply the platform realistically. Therefore, we judged that this Smart-Platform, which supplements the City Data Hub with additional functions, would be useful for utilizing the City Data Hub in the future. Through the demonstration of the platform designed, it is also necessary to explore the direction of continuous development for the future.

A Case Study on Big Data Analysis Systems for Policy Proposals of Engineering Education (공학교육 정책제안을 위한 빅데이터 분석 시스템 사례 분석 연구)

  • Kim, JaeHee;Yoo, Mina
    • Journal of Engineering Education Research
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    • v.22 no.5
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    • pp.37-48
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    • 2019
  • The government has tried to develop a platform for systematically collecting and managing engineering education data for policy proposals. However, there have been few cases of big data analysis platform for policy proposals in engineering education, and it is difficult to determine the major function of the platform, the purpose of using big data, and the method of data collection. This study aims to collect the cases of big data analysis systems for the development of a big data system for educational policy proposals, and to conduct a study to analyze cases using the analysis frame of key elements to consider in developing a big data analysis platform. In order to analyze the case of big data system for engineering education policy proposals, 24 systems collecting and managing big data were selected. The analysis framework was developed based on literature reviews and the results of the case analysis were presented. The results of this study are expected to provide from macro-level such as what functions the platform should perform in developing a big data system and how to collect data, what analysis techniques should be adopted, and how to visualize the data analysis results.