• Title/Summary/Keyword: Open Research Data

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Exploring National Science and Technology using Research Resource Knowledge Graph (연구리소스 지식그래프를 활용한 국가과학기술정보 탐색)

  • Cho, Minhee;Yim, Hyung-Jun;Song, Sa-kwang
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.621-623
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    • 2021
  • Open science policies are spreading that disclose, share, and utilize research results produced through government public funds. As a policy to revitalize open science, interest in research support services that allow easy search, access, and reuse of results is increasing. To support services to provide researchers with various information, we propose a research resource knowledge graph model to meaningfully express the relationship between the scattered various outcome data. In this paper, it contributes to the improvement of the service of the national research data platform DataON by meaningfully connecting national R&D task information, researcher information, performance information, and research data information.

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Open Internet of Things Data Service Management (공공 사물 데이터 서비스 구축 방안)

  • Chae, C.J.;Choe, J.;Lee, S.H.;Koo, H.J.
    • Journal of Practical Agriculture & Fisheries Research
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    • v.23 no.1
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    • pp.105-115
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    • 2021
  • In this paper, we surveyed the service system disclosed by the government and self-governing province to analyze the status of IoT data service. Survey conditions were focused on data generated from objects such as sensors, OpenAPI that can utilize the generated data and data having a data update cycle of less than 1 month. As a result of the survey, the ratio of IoT data to data released by the government, self-governing province and the private sector was only 1.2%. Therefore, in order to increase the utilization with the development of IoT technology, a dedicated organization that can manage the IoT data service is needed.

COMPONENT-BASED ARCHITECTURE DESIGN FOR EAST INTEROPERABILITY IN SATELLITE IMAGE PROCESSING

  • Yoon, Chang-Pak;Kim, Kyung-Ok;Yang, Young-Kyu
    • Proceedings of the KSRS Conference
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    • 2002.10a
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    • pp.45-48
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    • 2002
  • Satellite image processing software should be able to support interoperability that is to enable consumers, citizens, large and small businesses and governments to make the fullest possible use of the world's spatial data and spatial processing resources. The goal of interoperability is to perform hands-on research, development, testing, fielding, and validation of potential and existing interoperable geoprocessing technologies. In this paper, component based architecture for fast interoperability is designed to maximize interoperability among the OpenGIS components specified in the OpenGIS abstract specifications and implementation specifications and to mix up the OpenGIS components and the fast access mechanism for high performance.

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Development of a numerical simulation tool for efficient and robust prediction of ship resistance

  • Kim, Geon-Hong;Park, Sanghoon
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.9 no.5
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    • pp.537-551
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    • 2017
  • In this paper, a two-phase flow solver $HiFoam^{(R)}$ has been developed based on the $OpenFOAM^{(R)}$ to predict resistance of a ship in calm water. The VOF method of $OpenFOAM^{(R)}$ was reviewed and a simple flux limiter was introduced to enhance the robustness of the solver. The procedure for predicting ship motion was modified by introducing Quasi-Steady Fluid-Body Interaction (QS-FBI) with least square regression to improve the efficiency. Other minor factors were considered as well in terms of the efficiency and robustness. The HiFoam was applied to KCS and JBC simulations to validate its efficiency and accuracy by comparing the results to experimental data and STAR-CCM+. The $HiFoam^{(R)}$ was also applied to various ships and it showed good agreements to the experimental data.

Development of transient Monte Carlo in a fissile system with β-delayed emission from individual precursors using modified open source code OpenMC(TD)

  • J. Romero-Barrientos;F. Molina;J.I. Marquez Damian;M. Zambra;P. Aguilera;F. Lopez-Usquiano;S. Parra
    • Nuclear Engineering and Technology
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    • v.55 no.5
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    • pp.1593-1603
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    • 2023
  • In deterministic and Monte Carlo transport codes, b-delayed emission is included using a group structure where all of the precursors are grouped together in 6 groups or families, but given the increase in computational power, nowadays there is no reason to keep this structure. Furthermore, there have been recent efforts to compile and evaluate all the available b-delayed neutron emission data and to measure new and improved data on individual precursors. In order to be able to perform a transient Monte Carlo simulation, data from individual precursors needs to be implemented in a transport code. This work is the first step towards the development of a tool to explore the effect of individual precursors in a fissile system. In concrete, individual precursor data is included by expanding the capabilities of the open source Monte Carlo code OpenMC. In the modified code - named Time Dependent OpenMC or OpenMC(TD)- time dependency related to β-delayed neutron emission was handled by using forced decay of precursors and combing of the particle population. The data for continuous energy neutron cross-sections was taken from JEFF-3.1.1 library. Regarding the data needed to include the individual precursors, cumulative yields were taken from JEFF-3.1.1 and delayed neutron emission probabilities and delayed neutron spectra were taken from ENDF-B/VIII.0. OpenMC(TD) was tested in a monoenergetic system, an energy dependent unmoderated system where the precursors were taken individually or in a group structure, and in a light-water moderated energy dependent system, using 6-groups, 50 and 40 individual precursors. Neutron flux as a function of time was obtained for each of the systems studied. These results show the potential of OpenMC(TD) as a tool to study the impact of individual precursor data on fissile systems, thus motivating further research to simulate more complex fissile systems.

Verification of OpenMC for fast reactor physics analysis with China experimental fast reactor start-up tests

  • Guo, Hui;Huo, Xingkai;Feng, Kuaiyuan;Gu, Hanyang
    • Nuclear Engineering and Technology
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    • v.54 no.10
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    • pp.3897-3908
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    • 2022
  • High-fidelity nuclear data libraries and neutronics simulation tools are essential for the development of fast reactors. The IAEA coordinated research project on "Neutronics Benchmark of CEFR Start-Up Tests" offers valuable data for the qualification of nuclear data libraries and neutronics codes. This paper focuses on the verification and validation of the CEFR start-up modelling using OpenMC Monte-Carlo code against the experimental measurements. The OpenMC simulation results agree well with the measurements in criticality, control rod worth, sodium void reactivity, temperature reactivity, subassembly swap reactivity, and reaction distribution. In feedback coefficient evaluations, an additional state method shows high consistency with lower uncertainty. Among 122 relative errors in the benchmark of the distribution of nuclear reaction, 104 errors are less than 10% and 84 errors are less than 5%. The results demonstrate the high reliability of OpenMC for its application in fast reactor simulations. In the companion paper, the influence of cross-section libraries is investigated using neutronics modelling in this paper.

Current Status and Issues of Data Management Plan in Korea (데이터 관리 계획의 국내 현황 및 과제)

  • Choi, Myung-seok;Lee, Sanghwan
    • The Journal of the Korea Contents Association
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    • v.20 no.6
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    • pp.220-229
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    • 2020
  • With the recent development of digital technology, the research paradigm is evolving towards data-driven. National management and utilization of research data is a key element not only to enhance research transparency and efficiency, but also to prepare for a data-driven society. Policies and infrastructure for sharing and utilization of research data from publicly-funded research are being actively promoted worldwide. In Korea, related regulations were recently revised to mandate to submit a data management plan (DMP) when proposing a national R&D project. In order to effectively implement the sustainable DMP system, researchers need various support. In addition, guidelines and implementation procedures are essential for management and utilization of research data at the national or institutional level. In this paper, we provide an overview of the data management plan, examine the current status and issues in Korea, and suggest a template and checklists of data management plan, and an implementation procedure at research institutes.

A Study on Improving Availability of Open Data by Location Intelligence (위치지능화를 통한 공공데이터의 활용성 향상에 관한 연구)

  • Yang, Sungchul
    • Journal of Cadastre & Land InformatiX
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    • v.49 no.2
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    • pp.93-107
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    • 2019
  • The open data portal collects data created by public institutions and opens and shares them according to related laws. With the activation of the Fourth Industrial Revolution, all sectors of our society are demanding high quality data, but the data required by the industry has not been greatly utilized due to the lack of quantity and quality. Numerous data collected in the real world can be implemented in cyber physical systems to simulate real-world problems, and alternatives to various social issues can be found. There is a limit to being provided. Location intelligence is a technology that enables existing data to be represented in space, enabling new value creation through convergence. In this study, to present location intelligence of open data, we surveyed the status of location information by data in open data portal. As a result, about 60% of the surveyed data had location information and the representative type was address. Appeared. Therefore, by suggesting location intelligence of open data based on address and how to use it, this study aimed to suggest a way that open data can play a role in creating future social data-based industry and policy establishment.

The Hedonic Method in Evaluating Apartment Price: A Case of Ho Chi Minh City, Vietnam

  • NGUYEN, Ha Minh;PHAN, Hung Quoc;TRAN, Tri Van;TRAN, Thang Kiem Viet
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.6
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    • pp.517-524
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    • 2020
  • The study examines factors affecting apartment prices in the real estate market of Ho Chi Minh City, Vietnam. The study uses primary data based on surveys of customers who have traded successfully, and collects transaction data from real estate trading companies that are the top investors in Ho Chi Minh City real estate market. The collected data include 384 observations in a total of 24 districts, detailing that each district surveyed on a minimum of four projects, each project carried out a survey on a minimum of four apartments. The survey collected 339 valid questionnaires for analysis and model testing. This study employs multivariate regression with the data of 339 observations. The research results reveal that five significant factors affect positively the price of apartments in Ho Chi Minh City - apartment area, toilet and bedroom, apartment floor, reference price, and apartment interior. Besides, there are three significant factors affecting negatively the price of apartments - next price trend, distance to city center, and potential building. From the results, the research proposes solutions in the pricing of apartments in the real estate market in Ho Chi Minh City - better information system, a real estate transaction index, and stricter management of small brokerage activities.