• 제목/요약/키워드: Knowledge-based platform

검색결과 278건 처리시간 0.021초

The development of training platform for CiADS using cave automatic virtual environment

  • Jin-Yang Li ;Jun-Liang Du ;Long Gu ;You-Peng Zhang;Xin Sheng ;Cong Lin ;Yongquan Wang
    • Nuclear Engineering and Technology
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    • 제55권7호
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    • pp.2656-2661
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    • 2023
  • The project of China initiative Accelerator Driven Subcritical (CiADS) system has been started to construct in southeast China's Guangdong province since 2019, which is expected to be checked and accepted in the year 2025. In order to make the students in University of Chinese Academy of Sciences (UCAS) better understand the main characteristic and the operation condition in the subcritical nuclear facility, the training platform for CiADS has been developed based on the Cave Automatic Virtual Environment (CAVE) in the Institute of Modern Physics Chinese Academy of Sciences (IMPCAS). The CAVE platform is a kind of non-head mounted virtual reality display system, which can provide the immersive experience and the alternative training platform to substitute the dangerous operation experiments with strong radioactivity. In this paper, the CAVE platform for the training scenarios in CiADS system has been presented with real-time simulation feature, where the required devices to generate the auditory and visual senses with the interactive mode have been detailed. Moreover, the three dimensional modeling database has been created for the different operation conditions, which can bring more freedom for the teachers to generate the appropriate training courses for the students. All the user-friendly features will offer a deep realistic impression to the students for the purpose of getting the required knowledge and experience without the large costs in the traditional experimental nuclear reactor.

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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    • 제10권spc호
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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.

교단 선진화에 관한 연구 - PC 내장형 멀티미디어 교탁 디자을 중심으로 - (A Study on the Modernization of the Teaching Platform: - With Special Reference to the Designing of the Teacher's Multimedial Desk Equipped with a PC -)

  • 윤여항
    • 한국가구학회지
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    • 제10권1호
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    • pp.103-111
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    • 1999
  • In the age of knowledge and information when every aspect of economy, education and culture in society is changing rapidly, the teacher is not just a provider of knowledge in classroom. Ultra-modern educational tools and materials have come into being with the latest developments in science and technology and we see classroom teaching in general tending towards more 'open' classroom and study. What the students need most for the coming century is the cultivation of higher faculties such as creative thinking, the power to solve problems, and the spirit of inquiry. The present-day teacher is required to make use of various teaching medial in order to provide the students with better educational environment for developing these faculties, not the teaching method of the past with the teacher at the center. One way to enhance classroom environment is in reintroducing the modernized teacher's desk to the center of teaching apparatus. This paper is about the better way of designing the teacher's multimedia desk equipped with a PC that will make it possible for the teacher to utilize the internet-based educational resources.

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빅데이터 분석을 위한 비용효과적 오픈 소스 시스템 설계 (Designing Cost Effective Open Source System for Bigdata Analysis)

  • 이종화;이현규
    • 지식경영연구
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    • 제19권1호
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    • pp.119-132
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    • 2018
  • Many advanced products and services are emerging in the market thanks to data-based technologies such as Internet (IoT), Big Data, and AI. The construction of a system for data processing under the IoT network environment is not simple in configuration, and has a lot of restrictions due to a high cost for constructing a high performance server environment. Therefore, in this paper, we will design a development environment for large data analysis computing platform using open source with low cost and practicality. Therefore, this study intends to implement a big data processing system using Raspberry Pi, an ultra-small PC environment, and open source API. This big data processing system includes building a portable server system, building a web server for web mining, developing Python IDE classes for crawling, and developing R Libraries for NLP and visualization. Through this research, we will develop a web environment that can control real-time data collection and analysis of web media in a mobile environment and present it as a curriculum for non-IT specialists.

시맨틱 웹을 이용한 Product Family 지식관리 프레임워크 (A Product Family Knowledge Management Framework using the Semantic Web)

  • 서광규;안범준
    • 대한안전경영과학회지
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    • 제11권3호
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    • pp.105-112
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    • 2009
  • 오늘날 치열한 글로벌 마켓의 경쟁환경에서 많은 회사들이 제품의 경쟁우위를 확보하기 위해 고객에 대한 빠른 대응과 유연하고 효율적인 새로운 제품을 적기에 개발하기 위한 방법으로 product family 기반의 제품개발과 고객 맞춤형 제품개발 방법을 도입하고 있다. 많은 제품들의 가장 중요한 비즈니스 프로세스 요소는 제품의 전체 라이프 씨이들동안 제품 데이터를 관리하는 것이다. 서로 다른 저장 구조를 가지는 이기종 소프트웨어 시스템에 의해 수집되는 제품 정보는 서로 다른 조직의 정보시스템내에서 인덱싱, 탐색, 정제, 재사용, 분배되는 것이 어렵다. 본 연구에서는 현재의 제품 설계 저장소의 이러한 문제점을 해결하기 위해, 시맨틱 웹 패러다임을 사용하여 product family를 대상으로 지식 관리 프레임워크를 개발하고자 한다. 시맨틱 웹 패러다임의 formal product represention은 제품 플랫폼의 구조를 저장할 수 있고, product family의 서로 다른 부품들을 공용으로 사용할 수 있도록 도와 줄 수 있을 뿐만 아니라, product family 기반의 제품개발과 고객맞춤형 제품개발이 가능하다. 본 연구에서는 일회용 카메라를 대상으로 제안한 프레임워크의 타당성의 입증을 위한 프로토타입을 제시한다.

Laboratory Experiment: Synthesis and Characterization of 4-Methyl-N-(phenylacetyl)benzenesulfonamide through Cu(I)-Catalysis

  • Jung, Byunghyuck
    • 대한화학회지
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    • 제62권3호
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    • pp.187-190
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    • 2018
  • A three-component coupling reaction of phenylacetylene, p-toluenesulfonyl azide, and water through copper catalysis is described to provide knowledge of spectroscopy and catalytic reactions and to introduce current research topics in organic chemistry for second-year undergraduate students. In the presence of stoichiometric amounts of phenylacetylene, p-toluenesulfonyl azide, and triethylamine, the reaction was performed with 4 mol% CuCl in water as the sole solvent and was completed in 1.5 h. A practical purification method and recrystallization of the crude reaction mixture resulted in the rapid isolation of the desired product with yields of 42~65%. Students characterized 4-methyl-N-(phenylacetyl)benzenesulfonamide by using melting-point determination, infrared spectroscopy, and nuclear magnetic resonance (NMR) spectroscopy. This experimental procedure and spectroscopic data analysis will serve as a platform for students to apply classroom knowledge in practical state-of-the-art research.

학습조직 구현방안: 공공조직의 조직학습 및 폐기학습, 지식관리를 중심으로 한 시스템 다이내믹 접근 (Implementational Architecture of Learning Organizations: System Dynamic Approach to Organizational Learning, Unlearning, and Knowledge Management in Public Sector Organizations)

  • 홍민기
    • 한국시스템다이내믹스연구
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    • 제17권3호
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    • pp.51-90
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    • 2016
  • Learning is naturally embedded in organizational ongoing-processes and routines. Recent many research models of organizational failure ignore how failing masks breakdowns and recoveries of organization-embedded learning as a naturally occurring process. Organizational learning is the platform in tandem with base-modules of organization in this point. Organizations learn and unlearn while they acquire, discard, and forget organizational experiences or knowledges. These processes in public sector organizations are different from learning behaviors in private sector. This study expects to explore architectural components of learning organization in public sector, focusing on distinct characteristics of public organizations, and to implement learning model based on system thinking(system dynamic) approach.

Bridging Comparative Genomics and DNA Marker-aided Molecular Breeding

  • Choi, Hong-Kyu;Cook, Douglas R.
    • 한국육종학회지
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    • 제43권2호
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    • pp.103-114
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    • 2011
  • In recent years, genomic resources and information have accumulated at an ever increasing pace, in many plant species, through whole genome sequencing, large scale analysis of transcriptomes, DNA markers and functional studies of individual genes. Well-characterized species within key plant taxa, co-called "model systems", have played a pivotal role in nucleating the accumulation of genomic information and databases, thereby providing the basis for comparative genomic studies. In addition, recent advances to "Next Generation" sequencing technologies have propelled a new wave of genomics, enabling rapid, low cost analysis of numerous genomes, and the accumulation of genetic diversity data for large numbers of accessions within individual species. The resulting wealth of genomic information provides an opportunity to discern evolutionary processes that have impacted genome structure and the function of genes, using the tools of comparative analysis. Comparative genomics provides a platform to translate information from model species to crops, and to relate knowledge of genome function among crop species. Ultimately, the resulting knowledge will accelerate the development of more efficient breeding strategies through the identification of trait-associated orthologous genes and next generation functional gene-based markers.

A Study of Establishing a Web Model of Historical and Geographical Information for Youths through 'Collective Intelligence' -Junior Maphistory e-encyclopedia

  • BANG, Mi-Hyang
    • Educational Technology International
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    • 제9권1호
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    • pp.49-77
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    • 2008
  • As clearly suggested in the case of Wikipedia, collective intelligence is predicted to develop into the most important platform of knowledge and information in the future society. But it just remains at the level of activities for group projects in the present frame of education and so it doesn't lead to creating collective intelligence. This study looks into an 'information repository model of collective intelligence' that makes it possible to deliver an education process a priori of Shared Knowledge Reservoir to "Junior Digital Nomad", who is definitely and will be in existence, and that further enables them to be active there in reality. Based on this storage model, it suggests a practicable web system model; Junior Maphistory e-encyclopedia, which is appropriately consistent with the features of Web 2.0 and can grow into a general historical and geographical information service.

가상가치평가법을 적용한 스마트관광 콘텐츠의 경제적 가치 평가: 증강현실을 중심으로 (Measuring the Economic Value of Smart Tourism Content Using Contingent Valuation Method: Focus on Augmented Reality)

  • 정희정;구철모;정남호
    • 지식경영연구
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    • 제23권1호
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    • pp.133-148
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    • 2022
  • 끊임없이 변화하는 관광환경에서, 우리는 성공적으로 관광객을 유치하고 관광객에게 기억에 남을 만한 경험을 제공하기 위한 고민이 필요하다. 스마트관광 콘텐츠는 코로나19로 인해 변화된 관광패턴은 물론 다양한 관광지에서 새로운 가치를 선사하여 매력적인 관광지로 전환하는데 유용한 관광자원으로 간주된다. 그러나 아직까지 경제적 지속성을 확보한 스마트관광 콘텐츠의 성공사례는 드물다. 이에, 본 연구는 가상가치평가법(Contingent Valuation Method, CVM)을 적용하여 증강현실에 기반한 스마트관광 콘텐츠에 대해 관광객들이 인지하는 경제적 가치를 추정하고, 경제적 지속성을 확보할 수 있는 스마트관광 콘텐츠 개발 방안을 모색하는데 기초자료를 제시하고자 하였다. 연구 결과, 제시금액이 낮을수록 새로운 가치에 대한 인식이 높을수록 지불의사 가능성이 높아지는 것을 확인하였으며, 가장 적합한 지불의사 금액은 11,823.01원으로 나타났다. 이러한 연구결과를 토대로, 본 연구는 경제적 지속성을 확보한 스마트관광 콘텐츠 개발을 위한 학술적 그리고 실무적 시사점을 제시하였다.