• KIPS Transactions on Software and Data Engineering
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• v.6 no.2
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• pp.57-66
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• 2017

The academic research on data governance is still in its infancy and focused on the definition of concept and components. However, we need to study of evaluation on data governance to help make decision of establishment. The purpose of this paper is to develop of attribute index in data governance framework. Therefore, in this paper, we used RGT (repertory grid technique) and Laddering techniques for experts interview and survey for validation of disinterested third party experts and analysis statistically. We completed data governance attribute index which is composed of data compliance area including 8 components, data quality area including 16 components and data organization area including 7 components. Moreover, the evaluation attributes is prioritized and ranked using the AHP. As a result of the study, this paper can be used for the base line data in introducing and operating data governance in an IT company.

• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.558-562
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• 2023

최근 ChatGPT의 등장으로 텍스트 생성 모델에 대한 관심이 높아지면서, 텍스트 생성 태스크의 성능평가를 위한 지표에 대한 연구가 활발히 이뤄지고 있다. 전통적인 단어 빈도수 기반의 성능 지표는 의미적인 유사도를 고려하지 못하기 때문에, 사전학습 언어모델을 활용한 지표인 BERTScore를 주로 활용해왔다. 하지만 이러한 방법은 사전학습 언어모델이 학습한 데이터에 존재하는 편향으로 인해 공정성에 대한 문제가 우려된다. 이에 따라 한국어 사전학습 언어모델의 편향에 대한 분석 연구가 필요한데, 기존의 한국어 사전학습 언어모델의 편향 분석 연구들은 사회에서 생성되는 다양한 속성 별 편향을 고려하지 못했다는 한계가 있다. 또한 서로 다른 언어를 기반으로 하는 사전학습 언어모델들의 속성 별 편향을 비교 분석하는 연구 또한 미비하였다. 이에 따라 본 논문에서는 한국어 사전학습 언어모델의 속성 별 편향을 비교 분석하며, 영어 사전학습 언어모델이 갖고 있는 속성 별 편향과 비교 분석하였고, 비교 가능한 데이터셋을 구축하였다. 더불어 한국어 사전학습 언어모델의 종류 및 크기 별 편향 분석을 통해 적합한 모델을 선택할 수 있도록 가이드를 제시한다.

• Journal of Digital Convergence
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• v.19 no.4
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• pp.267-274
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• 2021

The purpose of this study is to derive design factors to provide inclusive information without encouraging the division of region and ideology, and to present the prospects of election result infographics design through evaluation and interpretation of the based design factors. First, the methods and results of the study identify the characteristics of infographics design through theoretical considerations to confirm the importance of visualizing data, and the case study of infographics design as the main flow is cathogram-style design using various forms of digital interaction. Second, the 21 st National Assembly election of Korea resulted in the response to infographics design and evaluated and analyzed the suitability of design factors through surveys and expert interview for five designs selected (suitable for purpose, convenient, aesthetic, easy of understanding, and public concern). In conclusion, it is predicted that the election results infographics design will evolve to offset regional and ideological division by providing inclusive information tailored to consumer needs by providing different types of infographics designs that meet basic objectives and functions.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.1417-1433
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• 2017

지속가능발전은 인류가 추구해야할 공통의 목적이며 가치로서 사회적 지속가능성, 경제적 지속 가능성, 환경적 지속가능성의 개념이 내포되어 있다. 본 연구에서는 우리나라의 전력공급 부문에서 특히 사회적 지속가능성의 가치를 구현하기 위해서는 에너지 사용에 대한 형평성과 에너지를 생산하는 발전기술에 대한 사회적 수용성, 그리고 지속적으로 고용을 창출할 수 있는 발전기술들로 발전원을 구성되는 것이 필요하다고 보았다. 이를 위해 본 연구는 사회적 지속가능성을 '에너지복지', '기술의 수용성', '고용 창출'등 3가지 핵심 속성으로 나누고 속성 당 2개의 세부 속성 지표를 구성하여 총 6개의 속성지표 측면에서 발전기술별로 비교 분석하였다. 분석 결과, 사회적 지속가능성 종합점수는 원자력 > 풍력 > LNG > 석탄 > 태양광 순으로 나타나 원자력이 사회지속성 측면에서 가장 우수한 발전기술인 반면에 태양광은 가장 열위에 있는 것으로 평가되었다. 또한 속성별로 살펴보면, '에너지사용의 복지성'은 원자력과 석탄화력이, '에너지사용의 접근성'은 LNG와 석탄이, '기술의 안전성'은 원자력과 풍력이, '기술의 신뢰성'은 발전기술간 큰 차이가 없으며, '고용 규모'는 태양광과 원자력이, '고용의 질'은 풍력과 원자력이 우수한 것으로 나타나 원자력이 대부분의 속성에서 우위에 있거나 경쟁력이 있는 것으로 나타났다.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.648-651
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• 2018

흡연여부를 감별하는 지표가 있지만 반감기 등 여러 가지 요인에 따라 결과가 변한다는 단점이 있다. 그렇기 때문에 흡연여부 감별 시 외부요인에 영향을 덜 받는 지표가 필요하게 되었다. 그래서 흡연 여부 감별하는데 적합한 모형을 찾아 외부요인에 영향이 적은 지표를 개발에 도움이 될 것을 기대하며 연구를 진행하였다. 실험은 국민건강보험공단에서 제공한 건강검진정보데이터를 기반으로, SVM, Logistic Regression, KNN 등의 머신러닝 모델을 이용하여 흡연 여부를 감별하는 것을 진행한다. 이 실험은 속성에 따른 모형의 성능변화와 학습데이터 수에 따른 모형의 성능변화에 대한 2가지 측면에서 모델의 성능을 측정하였다. 모델의 평가는 정확도(accuracy), 정밀도(precision), 재현율(recall), 조화 평균(f1-score)으로 진행하였으며, 약 70퍼센트 정도의 정확도와, 60퍼센트 대의 재현율을 보인다. 실험 결과, SVM이 속성에 따른 모형의 성능 변화 실험에서는 63%의 재현율, 학습데이터 수에 따른 성능 변화 실험에서는 68%의 재현율을 보여, 흡연자 판별에 가장 좋은 성능을 보였다. 또한 재현율을 기준으로 실험 차수별로 가장 좋은 성능을 보인 모델과 가장 저조한 성능을 보인 모델의 차이를 비교한 결과, '속성에 따른 모형의 성능 변화 실험'에서는 최고 36%의 차이를 보였으며, '학습데이터 수에 따른 성능 변화 실험'에서 최고 42%의 차이를 보여 주었다. 이에 판별을 위한 속성도 중요하지만, 적합한 모형 선택 또한 중요하다는 것을 확인하였다.

• Journal of the Korean Society for Railway
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• v.11 no.1
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• pp.45-53
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• 2008

With the growing international consensus regarding sustainable development of transportation, the plan of transportation infrastructure needs to meet various requirements toward enhancing environmental conditions. Accordingly, the upcoming long-term plan of high-speed rail network has to be reflecting the sustainability of transportation systems. In this paper, we demonstrate an application of methodologies based on multi-attribute utility theory for determining priorities of sustainable high-speed rail investment. The proposed methodologies identify indicators for sustainable transportation systems such as economic, environmental, and social ones and then, evaluate priority for planning a long-term sustainable high-speed rail network by comparing the relative importance among indicators. This will help transportation agencies to prioritize high-speed rail investment toward sustainable transportation systems.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.348-362
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• 2021

Real estate investment behavior factors are divided into profitability, risks (stability), liquidity, and regulation (deregulation) factors. The sub-attributes of the investment behavior factors are generally formative indicators. Unlike reflection indicators, formative indicators can identify not only the influence of investment behavior factors on dependent variables, but also the influence of sub-attributes on dependent variables. Therefore, theoretical and practical needs of comparing the influences of factors and sub-attributes on dependent variables has been suggested. In this study, in order to provide information that help marketing for lots shopping building, both the causality between investment behavior factors and investment intention and the causality between sub-attributes and investment intention were comparatively studied for each of the three investor groups: the whole group, the group with high investment intention and the group with low investment intention. For this purpose, a survey and multiple regression analyses were conducted on 237 existing investors in the customer DB of a company that have been developing and selling lots shopping building in the metropolitan area and Sejong City. At the factor level, the effects of profitability and regulation were significant in the whole group and the group with low investment intention, but the effects of risk and liquidity were significant in the group with high investment intention. At the sub-attribute level, all three groups showed different results.

• The Journal of the Korea Contents Association
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• v.19 no.3
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• pp.261-274
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• 2019

This paper aims to develop an appropriate methodology for establishing an investment strategy for 'demonstration of artificial rainfall technology using UAV' and that include establishment of a technology classification, set of indicators for technology evaluation, suggestion of final key technology as a whole study area. It is designed to complement the latest research trend analysis results and expert committee opinions using quantitative analysis. The key indicators for technology evaluation consisted of three major items (activity, technology, marketability) and 10 detailed indicators. The AHP questionnaire was conducted to analyze the importance of indicators. As a result, it was analyzed that the attribute of the technology itself is most important, and the order of closeness to the implementation of the core function (centrality), feasibility (feasibility). Among the 16 technology groups, top investment priority groups were analyzed as ground seeding, artificial rainfall verification, spreading and diffusion of seeding material, artificial rainfall numerical modeling, and UAV sensor technology.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.7
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• pp.102-108
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• 2017

The phenomenon of technological discontinuity which occurs during technological diffusion and substitution between incumbents and new technology is important to understand the behavior of technology diffusion and substitution of single and multiple technologies. Our research defined the concept of technological discontinuity and developed a model capable of measuring the region of technological discontinuity. Based on a literature review and a model development, we proposed a definition and a model regarding technological discontinuity.The accuracy of the model is verified by applying it on a semiconductor industry case. The technological discontinuity is defined as the region in which both the incumbent and new technology co-exist and the performance of the incumbent technology is better than that of the new technology. In addition, we can model the technological discontinuity using discontinuous time and discontinuous performance. This research will be very useful to understand not only technological discontinuity but also technology diffusion or substitution.

• Geophysics and Geophysical Exploration
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• v.24 no.3
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• pp.113-130
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• 2021

Recently, ground-penetrating radar (GPR) surveys have been actively employed to obtain a large amount of data on occurrences such as ground subsidence and road safety. However, considering the cost and time efficiency, more intuitive and accurate interpretation methods are required, as interpreting a whole survey data set is a cost-intensive process. For this purpose, GPR data can be subjected to attribute analysis, which allows quantitative interpretation. Among the seismic attributes that have been widely used in the field of exploration, complex trace analysis and similarity are the most suitable methods for analyzing GPR data. Further, recently proposed attributes such as edge detecting and texture attributes are also effective for GPR data analysis because of the advances in image processing. In this paper, as a reference for research on the attribute analysis of GPR data, we introduce the useful attributes for GPR data and describe their concepts. Further, we present an analysis of the interpretation methods based on the attribute analysis and past cases.