• 융합경영연구
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• 제11권6호
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• pp.9-22
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• 2023

Purpose: This paper aims to suggest ways to apply the leading technologies of Industry 5.0 to the housing welfare field, tasks for this, and policy implications. Research design, data, and methodology: The analysis method of this study is a literature study. The analysis steps are as follows. Technology trends and characteristics of Industry 5.0 were investigated and analyzed. The following is a method of applying technology 5.0 in the industrial field. Finally, the application areas of each technology and the challenges to be solved in the process were presented. Results: The results of the analysis are 1) the accessibility and diffusion of technology. This means that all citizens have equal access to and use of the latest technology. To this end, the appropriate use of technology and the development of a user-centered interface are needed. 2) Data protection and privacy. Residential welfare-related technologies may face risks such as personal information leakage and hacking in the process of collecting and analyzing residents' data. 3) Stability, economic feasibility, and sustainability of the technology. Conclusions: The policy implications include: 1) Enhancing technology education and promotion to improve tech accessibility for groups like the low-income, rural areas, and the elderly, 2) Strengthening security policies and regulations to safeguard resident data and mitigate hacking risks, 3) Standardization of technology, 4) Investment and support in R&D.

• Nuclear Engineering and Technology
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• 제53권1호
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• pp.1-18
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• 2021

The criticality analysis of VVER-1000 mock-up benchmark experiments from the LR-0 research reactor operated by the Research Center Rez in the Czech Republic has been conducted with the MCS Monte Carlo code developed at the Computational Reactor Physics and Experiment laboratory of the Ulsan National Institute of Science and Technology. The main purpose of this work is to evaluate the newest ENDF/B-VIII.0 nuclear data library against the VVER-1000 mock-up integral experiments and to validate the criticality analysis capability of MCS for light water reactors with hexagonal fuel lattices. A preliminary code/code comparison between MCS and MCNP6 is first conducted to verify the suitability of MCS for the benchmark interpretation, then the validation against experimental data is performed with both ENDF/B-VII.1 and ENDF/B-VIII.0 libraries. The investigated experimental data comprises six experimental critical configurations and four experimental pin-by-pin power maps. The MCS and MCNP6 inputs used for the criticality analysis of the VVER-1000 mock-up are available as supplementary material of this article.

• 기술혁신학회지
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• 제2권3호
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• pp.94-106
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• 1999

In Korea Basic Science Institute(KBSI) the remote data analysis system is developed for the joint use of advanced equipments. This system enables the researchers to access the datas which are produced at KBSI and analyse them by Java program on the Web,. Except Web browser such as Internet Explorer or Netscape Navigator no additional softwares are required for analysing data. We have developed remote data analysis systems for five major equipments which KBSI supports for the researchers, The systems which are developed are those for NMR spectrometer High Reso-lution Tandem mass Spectrometer Microscopic Imaging System DNA Sequencer and Natural Ra-dioactivity Measruement System, These programs work on any computer platform and any operat-ing system only if the internet is available. This remote data analysis system will be served as a part of Collaboratory the remote collaborative system.

• 한국콘텐츠학회논문지
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• 제10권12호
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• pp.457-465
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• 2010

맞춤형 정보 분석 시스템이란 정형화 되어 있지 않은 자연어 텍스트에서 유용한 정보를 추출하고 고객이 요구하는 맞춤형 정보로 가공하여, 미래를 예측하거나 추론하는데 도움을 주는 시스템을 말한다. 이러한 정보 분석 시스템을 구현하기 위해서는 자연어를 분석하는 자연어 처리 기술과 텍스트에서 필요한 개체와 그것들의 관계를 찾아내는 정보 추출 기술, 추출한 데이터로부터 알려지지 않은 새로운 정보를 찾아 내는 데이터 마이닝 기술이 필요하다. 본 논문에서는 국방 기사 데이터를 대상으로 맞춤형 정보 분석을 수행하는 가상의 시스템을 제안하고, 정보 분석을 위한 기반 기술들을 소개한다.

• 한국산업융합학회 논문집
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• 제23권4_2호
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• pp.683-691
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• 2020

In the era of super-aged societies, research and development (R&D) projects related to aging are very important agenda for establishing the direction of future R&D planning and technological competitiveness in the country. In order to respond promptly to this agenda, it is essential to establish a national-level convergence R&D policy. In this study, we utilized the global R&D funding project data from major nations (US, Europe, Japan), and then standardized them with the same fields. To analyze the current status of global R&D related to aging, we performed cluster analysis based on the co-occurrence matrix to explore convergence R&D areas in the US, Europe, and Japan related to aging. In addition, comparative analysis by country suggested that different points on the interdisciplinary area and the convergence of aging-related R&D by each country. These results provide fundamental understandings for the status of convergence in aging-related global R&D, the current technology trends, and establish the direction and strategy of R&D policy.

• 한국정보전자통신기술학회논문지
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• 제11권2호
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• pp.169-174
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• 2018

일반적으로 자료의 효과 연속형인 경우 분산분석과 이산형인 경우 분할표 카이제곱 검정을 통계적 분석방법으로 사용한다. 다차원의 자료에서는 계층적 구조의 분석이 요구되어지며 자료간의 인과관계를 나타내기 위해 통계적 선형모형을 채택하여 분석한다. 선형모형의 구조에서는 자료의 정규성이 요구되어지며 일부 자료에서는 비 선형모형을 채택할 수도 있다. 특히, 설문조사 자료 구조는 문항의 특성상 이산형 자료의 형태가 많아 모형의 조건에 만족하지 않는 경우가 종종 발생한다. 자료구조의 차원이 높아질수록 인과관계, 교호작용, 연관성분석 등에 다차원 범주형 자료 분석 방법을 사용한다. 본 논문에서는 확률분포의 계산을 이용한 베이지안 네트워크 모형이 범주형 자료 분석에서 분석절차를 줄이고 교호작용 및 인과관계를 분석할 수 있다는 것을 제시하였다.

• 대한인간공학회지
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• 제16권1호
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• pp.119-126
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• 1997

Most of human factors experiments in nuclear industry domain produe lots of experimental data, thus much time is reauired to analyze the data. DAEXESS was developed to reduce resource demands necessary for the analysis work through systematic data analysis requirements and automated data processing based on computer technology. Physilolgical data, human behavior recording data, system log data and verbal protocl can be collected, synthesized and easily analyzed with with respect to time domain in DAEXESS so that analyser is able to look into inte- grated information on operating context. DAEXESS assists analyser to carry out qualitative and quantitative data analysis easily.

• Nuclear Engineering and Technology
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• 제53권3호
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• pp.715-731
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• 2021

Uncertainties are calculated for pressurized water reactor (PWR) spent nuclear fuel (SNF) characteristics. The deterministic code STREAM is currently being used as an SNF analysis tool to obtain isotopic inventory, radioactivity, decay heat, neutron and gamma source strengths. The SNF analysis capability of STREAM was recently validated. However, the uncertainty analysis is yet to be conducted. To estimate the uncertainty due to nuclear data, STREAM is used to perturb nuclear cross section (XS) and resonance integral (RI) libraries produced by NJOY99. The perturbation of XS and RI involves the stochastic sampling of ENDF/B-VII.1 covariance data. To estimate the uncertainty due to modeling parameters (fuel design and irradiation history), surrogate models are built based on polynomial chaos expansion (PCE) and variance-based sensitivity indices (i.e., Sobol' indices) are employed to perform global sensitivity analysis (GSA). The calculation results indicate that uncertainty of SNF due to modeling parameters are also very important and as a result can contribute significantly to the difference of uncertainties due to nuclear data and modeling parameters. In addition, the surrogate model offers a computationally efficient approach with significantly reduced computation time, to accurately evaluate uncertainties of SNF integral characteristics.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제3권9호
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• pp.355-360
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• 2014

오늘날 국가와 기업의 연구 개발 투자 및 경영 정책 전략 수립에서 미래 부상 기술 예측은 매우 중요한 역할을 한다. 기술 예측을 위한 다양한 방법들이 사용되고 있으며 특허를 이용한 기술 예측 또한 활발히 진행되고 있다. 특허를 이용한 기술 예측에는 전문가들의 평가와 견해를 통한 정성적인 방법이 주로 사용되어 왔다. 정성적인 방법은 분석 결과의 객관성을 보장하지 못하고 분석에 많은 비용 및 시간이 요구된다. 이런 문제점을 보완하기 위해 최근에는 텍스트 마이닝을 이용한 특허 데이터의 정량적인 분석이 이루어지고 있다. 텍스트 마이닝 기법을 적용함으로써 특허 문서의 통계적 분석이 가능하다. 본 논문에서는 텍스트 마이닝과 ARIMA 분석을 이용한 기술 예측 방법을 제안한다.

• International Journal of Advanced Culture Technology
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• 제11권4호
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• pp.279-285
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• 2023

This study provides academic implications by considering trends of domestic research regarding therapy for Mental disorder schizophrenia and psychosocial. For the analysis of this study, text mining with the use of R program and social network analysis method have been used and 65 papers have been collected The result of this study is as follows. First, collected data were visualized through analysis of keywords by using word cloud method. Second, keywords such as intervention, schizophrenia, research, patients, program, effect, society, mind, ability, function were recorded with highest frequency resulted from keyword frequency analysis. Third, LDA (latent Dirichlet allocation) topic modeling result showed that classified into 3 keywords: patient, subjects, intervention of psychosocial, efficacy of interventions. Fourth, the social network analysis results derived connectivity, closeness centrality, betweennes centrality. In conclusion, this study presents significant results as it provided basic rehabilitation data for schizophrenia and psychosocial therapy through new research methods by analyzing with big data method by proposing the results through visualization from seeking research trends of schizophrenia and psychosocial therapy through text mining and social network analysis.