• Industrial Engineering and Management Systems
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• 제1권1호
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• pp.93-98
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• 2002

It is important to evaluate the performance of candidates mathematically from various aspects, and reflect it on decision making. In decision making, we judge the candidates through two steps, classification of objects and comparison of objects or candidates with plural elements. In the former step, Analytic Hierarchy Process (AHP) is useful method to evaluate candidates from plural viewpoints, and in the later step, Data Envelopment Analysis (DEA) is also useful method to evaluate candidates with plural categorized data. In fact, each candidate has plural elements, nevertheless it has been more important to evaluate from various aspects in IT society. So, we propose a new procedure complementing AHP with DEA.

• Nuclear Engineering and Technology
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• 제34권4호
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• pp.331-343
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• 2002

We performed an importance analysis of In-Service Testing (157) components for Ulchin Unit 3 using the integrated evaluation method for categorizing component safety significance developed in this study. The developed method is basically aimed at having a PSA expert perform an importance analysis using PSA and its related information. The importance analysis using the developed method is initiated by ranking the component importance using quantitative PSA information. The importance analysis of the IST components not modeled in the PSA is performed through the engineering judgment, based on the expertise of PSA, and the quantitative and qualitative information for the 157 components. The PSA scope for importance analysis includes not only Level 1 and 2 internal PSA but also Level 1 external and shutdown/low power operation PSA. The importance analysis results of valves show that 167 (26.55%) of the 629 IST valves are HSSCs and 462 (73.45%) are LSSCs. Those of pumps also show that 28 (70%)of the 40157 pumps are HSSCs and 12 (30%) are LSSCs.

• International Journal of Contents
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• 제17권4호
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• pp.79-90
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• 2021

With the deepening of population aging, pension has become an urgent problem in most countries. Community smart pension can effectively resolve the problem of traditional pension, as well as meet the personalized and multi-level needs of the elderly. To predict the pension intention of the elderly in the community more accurately, this paper uses the decision tree classification method to classify the pension data. After missing value processing, normalization, discretization and data specification, the discretized sample data set is obtained. Then, by comparing the information gain and information gain rate of sample data features, the feature ranking is determined, and the C4.5 decision tree model is established. The model performs well in accuracy, precision, recall, AUC and other indicators under the condition of 10-fold cross-validation, and the precision was 89.5%, which can provide the certain basis for government decision-making.

• Nuclear Engineering and Technology
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• 제50권8호
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• pp.1412-1420
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• 2018

An experiment was performed using the large-scale test facility (LSTF), which simulated a 1% vessel upper head small-break loss-of-coolant accident with an accident management (AM) measure under an assumption of total-failure of high-pressure injection (HPI) system in a pressurized water reactor (PWR). In the LSTF test, liquid level in the upper head affected break flow rate. Coolant was manually injected from the HPI system into cold legs as the AM measure when the maximum core exit temperature reached 623 K. The cladding surface temperature largely increased due to late and slow response of the core exit thermocouples. The AM measure was confirmed to be effective for the core cooling. The RELAP5/MOD3.3 code indicated insufficient prediction of primary coolant distribution. The author conducted uncertainty analysis for the LSTF test employing created phenomena identification and ranking table for each component. The author clarified that peak cladding temperature was largely dependent on the combination of multiple uncertain parameters within the defined uncertain ranges.

• Genomics & Informatics
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• 제19권3호
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• pp.26.1-26.3
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• 2021

Previous approaches to create a controlled vocabulary for Japanese have resorted to existing bilingual dictionary and transformation rules to allow such mappings. However, given the possible new terms introduced due to coronavirus disease 2019 (COVID-19) and the emphasis on respiratory and infection-related terms, coverage might not be guaranteed. We propose creating a Japanese bilingual controlled vocabulary based on MeSH terms assigned to COVID-19 related publications in this work. For such, we resorted to manual curation of several bilingual dictionaries and a computational approach based on machine translation of sentences containing such terms and the ranking of possible translations for the individual terms by mutual information. Our results show that we achieved nearly 99% occurrence coverage in LitCovid, while our computational approach presented average accuracy of 63.33% for all terms, and 84.51% for drugs and chemicals.

• Journal of Platform Technology
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• 제11권2호
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• pp.3-14
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• 2023

This paper proposes a big data sentiment analysis method and deep learning implementation method to provide a webtoon comment analysis web page for convenient comment confirmation and feedback of webtoon writers for the development of the cartoon industry in the video animation field. In order to solve the difficulty of automatic analysis due to the nature of Internet comments and provide various sentiment analysis information, LSTM(Long Short-Term Memory) algorithm, ranking algorithm, and word2vec algorithm are applied in parallel, and actual popular works are used to verify the validity. If the analysis method of this paper is used, it is easy to expand to other domestic and overseas platforms, and it is expected that it can be used in various video animation content fields, not limited to the webtoon field

• 한국산업융합학회 논문집
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• 제25권4_2호
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• pp.549-563
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• 2022

Continuous global warming is causing ecosystem destruction and direct damage to human life. The main cause of global warming is greenhouse gases, which account for more than 90 % of carbon dioxide. The leaders of each country signed the Paris Agreement at the United Nations Convention on Climate Change (UNFCCC) to reduce greenhouse gas emissions. Currently, the total amount of CO₂ emitted from South Korea is 664.7 million tons as of 2018, ranking eighth in the world. 37 % of South Korea's total CO₂ emissions come from the construction & building field, especially the cement production, which is a construction material. Carbon reduction technologies can be largely divided into four types: carbon reduction (CC), carbon reduction and storage technology (CCS), carbon reduction and utilization technology (CCU), and carbon reduction, storage and utilization technology (CCUS). Overseas, CCUS technology is mainly applied to reduce and store CO₂ emitted from construction and construction field. A technology for permanently storing CO₂ through mineralization by capturing CO₂ and utilizing CO₂ into a cement production process was developed, and this technology is applied to the entire cement industry. However, the development of CCUS technology applicable to the cement industry is still insignificant in South Korea. In this study, carbon dioxide reduction technology and methods for reducing carbon dioxide emitted during the cement manufacturing process, which is the main component of concrete mainly used in civil engineering construction, were investigated. Overseas, it has reached the commercialization stage beyond the demonstration stage as a way to reduce carbon dioxide by vomiting carbonation reactions. Accordingly, if carbon dioxide reduction plan technology generated during cement manufacturing is developed based on domestic technology differentiated from foreign technology, it is expected to contribute one more step to the carbon neutrality policy.

• 통상정보연구
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• 제16권4호
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• pp.363-384
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• 2014

본 연구는 우리나라와 OECD국가들의 에너지기술 연구개발비 규모를 다양한 측면에서 비교하고 그 시사점을 제안한다. 에너지부문의 기술개발투자에 관한 국가 비교 시, 다양한 비교 기준이 갖는 의미를 논의하고, OECD Statistics의 국가별 에너지기술 연구개발비 예산을 활용하여 새롭게 에너지 기술에 관한 국가별 관심도를 측정할 수 있는 지표를 제안한다. 비교결과 우리나라의 에너지기술개발을 위한 연구투자에 대해 2010년을 기준으로 OECD 국가 중 5위의 수준으로 비교적 높은 연구투자를 하고 있다. 또한 국가규모 대비 에너지기술개발을 위한 연구투자수준도 OECD 국가 중 6위로 비교적 높은 수준의 에너지기술개발에 대한 관심을 갖는 듯하였다. 그러나 국가의 경제력 등을 통제한 후, 순수하게 에너지기술개발의지를 살펴보았더니 OECD국가 중 20위로 평균에도 못 미치고 있는 수준이었다. 에너지기술개발에 대한 투자가 다른 국가들에 비해 상대적으로 높은 수준이지만, 그것이 곧 에너지기술개발의 필요성 및 관심도를 기본으로 출발했다고 보기 어렵기 때문에 에너지산업의 빠른 성장으로 이어질지는 장담할 수 없다. 한 국가의 에너지경제의 근본적인 경쟁력확보 및 성장은 순수한 필요성에 대한 인지가 선행되어야 가능할 수 있는 일이다.

• STI Policy Review
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• 제8권1호
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• pp.113-156
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• 2017

Although technological progress is considered a key element for economic growth and development of a country, strong empirical evidence in this regard is not available yet. Therefore, to establish the empirical link between technology progress and economic development, it is advisable to carry out a time series analysis. In this regard, the Technology Achievement Index (TAI) of 100 top economies has been developed to examine the position of countries' technological progress for the 21 years spanning 1995 to 2015. Countries have been ranked on their TAI which is based on four pillars; technology creation, diffusion of older innovations, diffusion of recent innovations, and development of human skills. As well, this current study re-calculates the Humane Development Index (HDI) of 100 top economies for the 21 years from 1995 to 2015. Ranking of countries' HDI values reflects three dimensions: A long lifespan (life expectancy index), knowledge (Education Index) and a decent standard of living (Gross National Income Index, or GNI). The Standard Deviation (SD) technique has been used to investigate the technological gap between individual countries and groups of countries or regions. For a more meaningful assessment, technological gaps from the maximum achievement value (i.e., one of the countries under study) are presented as well. To investigate the impact of technological progress on economic development, this study introduces a model in which the HDI is used as the dependent variable and the TAI and Gross Capital Formation (GCF) are used as independent variables. The HDI, TAI and GCF are used in this model as proxy variables for economic development, technological progress and capital respectively. Econometric techniques have been used to show the impact of technological progress on economic development. The results show that long-term associations exist between technology progress and economic development; the impact of technology progress on economic development is 13.2% while the impact is 4.3% higher in eight selected East South Asian countries, at 13.5%, than in eight selected highly developed countries (9.2%).

• 한국콘텐츠학회논문지
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• 제9권8호
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• pp.99-112
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• 2009

본 연구는 기술 거래 및 기술이전 활성화를 위해 기술 개발을 원하는 기술수요자가 기술을 개발해줄 수 있는 기술공급자를 역경매 형태로 선택하는 방안을 모색하고자 하였다. 기술수요자가 기술공급자를 직접 선택하는 역경매 방식의 기술이전으로, 개발 이전에 개발자를 선정하고 동시에 개발된 기술을 기술 이전하여 기술이 사장되는 것을 방지하고 기술이전을 활성화하는 U-IT Technology Transfer Re-auction System Model 설계를 목적으로 한다. 1단계로 기술수요자가 기술 개발을 원하는 기술과 이에 대한 조건을 입력 전송한다. 2단계로 기술을 제공할 수 있는 기술공급자 DB에 1단계 데이터가 전송된다. 3단계로 입찰에 참여를 원하는 기술공급자는 각자의 조건을 입력 후 시스템에 전송하여 입찰에 참여한다. 4단계로 조건 최적화 경매 방식으로 기술수요자가 낙찰 순위를 결정한다. 5단계로 기술수요자가 기술공급자에게 낙찰에 응하도록 한다. 6단계로 기간내에 낙찰을 하지 않을 시 유찰되는 것으로 한다. 2회 이상 유찰시 자동으로 거래가 소멸되는 것으로 하는 기술수요자 중심의 역경매 방식이다.