• 인터넷정보학회논문지
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• 제20권6호
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• pp.85-93
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• 2019

Computational Science and Engineering is a convergence study that understands and solves complex problems such as science, engineering, and social phenomena through modeling using computing resources. Computational science and engineering combines algorithms, computational and informatics, and infrastructure. The importance of computational science is increasing with the improvement of computer performance and the development of large data processing technology. In Korea, Korea Institute of Science and Technology Information (KISTI) has been developing national computational science engineering software and utilization technology by combining basic science and computing technology through EDISON project. The EDISON project builds an open EDISON platform and integrates and services information systems in seven areas of computational science and engineering (computational thermal fluids, nanophysics, computational chemistry, structural dynamics, computational design, and computational medicine). Using this, we have established a web-based curriculum to lay the groundwork for fostering scientific talent and commercializing computational science and engineering software. The purpose of this study is to derive the quality characteristic factors of computational science platform and to empirically examine the effect on user satisfaction. This paper examines how the quality characteristics of information systems, the computational science engineering platform, affect the user satisfaction by modifying the research questions according to the propensity of the computational science platform by referring to the success factors of DeLone and McLean's information system. Based on the results of this study, we will suggest strategic implications for platform improvement by searching the priority of quality characteristics of computational science platform.

• 인터넷정보학회논문지
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• 제19권1호
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• pp.123-130
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• 2018

With the emergence of a new paradigm called Open Science and Big Data, the need for data sharing and collaboration is also emerging in the computational science field. This paper, we analyzed data-driven research cases for computational science by field; material design, bioinformatics, high energy physics. We also studied the characteristics of the computational science data and the data management issues. To manage computational science data effectively it is required to have data quality management, increased data reliability, flexibility to support a variety of data types, and tools for analysis and linkage to the computing infrastructure. In addition, we analyzed trends of platform technology for efficient sharing and management of computational science data. The main contribution of this paper is to review the various computational science data repositories and related platform technologies to analyze the characteristics of computational science data and the problems of data management, and to present design considerations for building a future computational science data platform.

• 한국지구과학회지
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• 제40권4호
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• pp.340-352
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• 2019

The purpose of science education is scientific literacy, which is extended in its meaning in the $21^{st}$ century. Students must be equipped with the skills necessary to solve problems from the community beyond obtaining the knowledge from curiosity, which is called 'computational thinking'. In this paper, the authors tried to define computational thinking in science education from the view of scientific literacy in the $21^{st}$ century; (1) computational thinking is an explicit skill shown in the two steps of abstracting the problems and automating solutions, (2) computational thinking consists of concrete components and practices which are observable and measurable, (3) computational thinking is a catalyst for STEAM (Science, Technology, Engineering, Arts, and Mathematics) education, and (4) computational thinking is a cognitive process to be learned. More implication about the necessity of including computational thinking and its emphasis in implementing in science teaching and learning for the envisioned scientific literacy is added.

• 인터넷정보학회논문지
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• 제21권3호
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• pp.41-51
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• 2020

EDISON is a web-based platform that provides easy and convenient use of simulation software on high-performance computers. One of the most important roles of a computational science platform, such as EDISON, is to post-process and represent the simulation results data so that the user can easily understand the data. We interviewed EDISON users and collected requirements for post-processing and represent of simulation results, which included i) flexible data representation, ii) supporting various data representation components, and iii) flexible and easy development of view template. In previous studies, it was difficult to develop or contribute data representation components, and the view templates were not able to be shared or recycled. This causes a problem that makes it difficult to create ecosystems for the representation tool development of numerous simulation software. EDISON-VIEW is a framework for post-processing and representing simulation results produced from the EDISON platform. This paper proposes various methods used in the design and development of the EDISON-VIEW framework to solve the above requirements and problems. We have verified its usefulness by applying it to simulation software in various fields such as material, computational fluid dynamics, computational structural dynamics, and computational chemistry.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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• pp.451-454
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• 2003

A new query method, called query by visual keys, is proposed to aim easy operation and efficient region-based image retrieval (RBIR). Visual keys are constructed from representative regions/subimages in a given image database, and the database is indexed with visual keys. A system on PC is presented, where text retrieval techniques are applied to the image retrieval with visual keys. Experimental results show that one retrieval is done within 4ms and that the proposed system achieves the comparable retrieval precision (with user-friendly operation and low computational cost) to conventional region based image retrieval systems

• 한국표면공학회:학술대회논문집
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• 한국표면공학회 2011년도 춘계학술대회 및 Fine pattern PCB 표면 처리 기술 워크샵
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• pp.29-29
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• 2011

• 인터넷정보학회논문지
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• 제18권4호
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• pp.99-108
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• 2017

오픈 사이언스는 연구 결과의 공유뿐 아니라 연구 과정을 공개하는 방향으로 발전하고 있다. 우리는 계산과학공학 분야의 오픈 사이언스 활성화를 위해 EDISON 플랫폼을 개발하고 있다. EDISON 플랫폼은 계산과학공학 연구자들이 개발한 시뮬레이션의 온라인 서비스를 제공할 뿐만 아니라 소스코드, 데이터, 관련 연구 출판물에 대해서도 공유할 수 있는 환경을 제공해준다. EDISON 플랫폼에 성공적인 서비스를 위해서는 시뮬레이션 소프트웨어의 효율적인 관리 시스템이 필요하다. 본 논문은 계산과학공학 연구자들이 개발한 시뮬레이션 소프트웨어를 EDISON 플랫폼에 제공하기 위한 등록 관리 시스템을 제안하였다. 제안된 시스템을 통해 개발자는 관리자의 개입 없이 시뮬레이션 소프트웨어를 EDISON 플랫폼에 등록할 수 있으며, 웹 기반의 시뮬레이션 제공 환경을 효과적으로 구축할 수 있다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2018년도 춘계학술발표대회
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• pp.202-204
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• 2018

2018년 현재 한국과학기술정보연구원(KISTI)은 계산과학공학 플랫폼 기반으로 온라인 시뮬레이션이 가능한 EDISON(EDucation-research Integration through Simulation On the Net) 서비스를 제공하고 있다. 해당 플랫폼 서비스는 7개 전문분야(전산의학, 전산설계, 전산열유체, 구조동역학, 계산화학, 나노물리, 도시환경)의 학생 및 연구자들이 학습 및 시뮬레이션을 실행하고 결과를 활용할 수 있도록 지원하고 있다. 하지만 EDISON 플랫폼은 시뮬레이션 서비스에 초점을 맞춰 개발과 서비스를 제공했기 때문에 국내외 MOOC(Massive Open Online Course) 서비스들에 비해 아직 교육 콘텐츠가 부족하다. 그리하여 본 논문에서는 계산과학공학 플랫폼에 교육 콘텐츠를 체계적으로 제공하기 위한 커리큘럼 서비스를 설계 및 제안하였다.

• 인터넷정보학회논문지
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• 제21권1호
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• pp.103-110
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• 2020

The EDISON is a platform that supports numerical analysis for problem solving in computational science and engineering. We provide a cloud service for users, and provide an environment to access and execution of the simulation service on the web. For now, the EDISON platform provides simulation services for eight applied field on computational science engineering. Users can check the numerical analysis result by web in the computational science and engineering platform. In addition, various services such as community activity with other researchers, and the configuration of simulation environment by user 's needs can be provided. A representative service of the EDISON platform is a web-based simulation service that performs numerical analysis for problem solving of various computational science and engineering. Currently, EDISON platform provides workbench simulation service. It is the web-based simulation execution environment, and result analysis to provide simulation regardless of various personal computing resource or environment in each numerical analysis. In this paper, we build an interface for pre and post processor that can be used in conjunction with the workbench-based simulation service provided by EDISON platform. We provide a development environment with interface that is implemented by applying a pre and post processor optimized for the simulation service. According to simulation and execution are performed by linking the new workbench-based simulation service to the pre and post processor.

• 인터넷정보학회논문지
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• 제21권6호
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• pp.123-132
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• 2020

계산과학공학 시뮬레이션 실행 환경을 웹 기반 플랫폼으로 제공하는 EDISON 플랫폼은 전문적인 계산과학공학 연구자 뿐만 아니라 일반 학생이나 사용자에게 다양한 분석 환경을 제공해 줄 수 있다. 이러한 시뮬레이션 환경의 사용자 확대 및 서비스 분석을 위해 매년 EDISON 플랫폼에서는 경진대회를 개최하고 사용자의 시뮬레이션 환경 요구사항을 분석하여 플랫폼의 경쟁성과 우수성을 증대하기 위해 노력해왔다. 계산과학공학 분야의 경진대회 시스템은 기존의 EDISON 플랫폼에서 사용중인 시뮬레이션 서비스와 연계되어 사용자에게 제공되고 있다. 이전까지의 EDION 경진대회 서비스는 시뮬레이션 서비스와 독립적으로 동작하여 최종 사용자 심사 및 중간 시뮬레이션 결과 확인 등의 서비스를 연계하지 못했다. 이러한 요구를 충족하기 위해 현재 서비스 중인 계산과학공학 경진대회의 서비스는 기존의 계산과학공학 시뮬레이션 서비스와 연계되어 사용자와 다양한 서비스 이용자에게 연계된 서비스를 제공할 수 있게 되었다. 또한 경진대회를 진행하고 참가하는 모든 사용자에 대한 다양한 분석을 통해 서비스를 제한적으로 제공함으로써 서비스 리소스에 대한 효율을 높일 수 있었다. 본 논문에서는 이러한 사용자의 시뮬레이션 환경 및 사용 환경 분석을 진행함으로써, 실제 사용자들에게 필요한 서비스와 사용자의 분석을 통해 경진대회 플랫폼을 제공하고 시뮬레이션 실행 환경에 대한 개선 방안에 대해 분석을 진행하였다.