• 한국어정보학회:학술대회논문집
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• 2016.10a
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• pp.307-309
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• 2016

이중언어 사전은 자연어처리 분야에서 매우 유용한 자원으로 사용되고 있다. 그러나 초기사전이나 병렬말뭉치 등 자원이 부족한 언어 쌍에 대해서 이중언어 사전을 추출하는 것은 쉽지 않다. 이러한 문제를 해결하기 위해 본 논문에서는 중간 언어 기반으로 Word2Vec와 CCA를 이용하여 이중언어 사전을 추출하는 방법을 제안한다. 본 논문에서 제안하는 방법의 성능을 평가하기 위해서 중간언어로 영어를 사용하여 스페인어-한국어에 대한 이중언어 사전을 추출하는 실험을 하였다. 무작위로 뽑은 200개의 단어에 대한 번역 정확도를 구하였다. 그 결과 최상위에서 37.5%, 상위 10위에서 63%, 그리고 상위 20위에서는 69.5%의 정확도를 얻을 수 있었다.

• Annual Conference on Human and Language Technology
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• 2016.10a
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• pp.307-309
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• 2016

이중언어 사전은 자연어처리 분야에서 매우 유용한 자원으로 사용되고 있다. 그러나 초기사전이나 병렬말뭉치 등 자원이 부족한 언어 쌍에 대해서 이중언어 사전을 추출하는 것은 쉽지 않다. 이러한 문제를 해결하기 위해 본 논문에서는 중간 언어 기반으로 Word2Vec와 CCA를 이용하여 이중언어 사전을 추출하는 방법을 제안한다. 본 논문에서 제안하는 방법의 성능을 평가하기 위해서 중간언어로 영어를 사용하여 스페인어-한국어에 대한 이중언어 사전을 추출하는 실험을 하였다. 무작위로 뽑은 200개의 단어에 대한 번역 정확도를 구하였다. 그 결과 최상위에서 37.5%, 상위 10위에서 63%, 그리고 상위 20위에서는 69.5%의 정확도를 얻을 수 있었다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.36 no.4
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• pp.695-704
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• 2016

Rubber deposited during aircraft landing is known as the main cause of reducing surface friction force on wet surfaces. Thus, rubber deposits are removed at regular intervals for sae airplane landing. The high-pressure waterblast method, widely used for the removal of rubber deposits, is regarded as the main cause for the loss of surface material because in this method, water hits the surface directly at a high pressure. In this study, a rubber removal primer is developed to reduce surface damage by lowering the pressure of waterblast relatively during the removal of rubber deposits such that the deposits are removed efficiently even with a lower water pressure. To achieve this, basic materials appropriate for the primer were selected and their performance, penetration rate, and site applicability were evaluated. Based on the evaluations, the proportion of additive required for improving the performance of the basic materials was first determined. Then, the optimum mix ratio was derived through the evaluation of the effect on pavements, and the development of the rubber removal primer was completed.

• Journal of Science and Technology Studies
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• v.10 no.2
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• pp.143-174
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• 2010

How can a regulatory policy to address potential hazards be made legitimate in the face of scientific uncertainty? The precautionary principle has been gradually regarded as the most persuasive answer to this intricate question in Europe since the 1970s and generally recognized as a guiding principle in international environmental law. This principle, however, has often been subject to diverse concerns and criticisms due to its vague definition. This article tries to elaborate the precautionary principle while reviewing both the validity and unreasonableness of these criticisms over this principle. Then, this article explores the policy relevance of this principle by applying this elaborated definition to the concrete case of risk governance such as the risk assesment of food safety. In the end, this paper emphasizes the fact that the precautionary principle can be applied in the field of risk governance, refuting the argument that the precautionary principle is only a moral attitude or a political position.

• Journal of Service Research and Studies
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• v.12 no.3
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• pp.70-92
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• 2022

Project risk assessment is the most important activity performed at the beginning of a project because it can judge the performance of the project in advance. In this study, We were evaluated risk with traditional risk factors such as technology and schedule, etc, and Indirect risks factors such as financial, strategic, and special risks. and then, we analyzed what kind of relationship these risk evaluation factors have on business performance and customer satisfaction. As a result of the research, it was found that the risk evaluation items had a relationship with performance and customer satisfaction. However, It is possible that the performance may differ depending on how risks are managed after risk assessment. Therefore, follow-up studies should be conducted, including information on risk management practices. This study is meaningful that presenting practical risk evaluation items and at the same time identifying the relationship with performance. We plan to further the study in future studies including the evaluation of risk management process.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.1
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• pp.7-13
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• 2023

This study investigated the criteria for evaluating the impact of artificial intelligence services. The study classified AI evaluation targets into two areas: AI service and AI technology, and identified influence, sustainability, efficiency, effectiveness, and appropriateness as potential evaluation criteria. The time aspect of AI service evaluation was divided into pre-evaluation and post-evaluation, with pre-evaluation focused on reviewing items during development and design. The AI service area was classified into public, private, and mixed forms, and the impact assessment was classified as vertical or horizontal. The application of AI services was divided into normative and regulatory aspects, and the purpose of the evaluation could be impact or process evaluation. The subject and field of the AI service could also be used for classification purposes. The results of this study can be used to support the creation of AI service impact policies and countermeasures. However, further research is needed to develop specific indicators based on the criteria identified in this study to evaluate the impact of AI services.

• Journal of Advanced Marine Engineering and Technology
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• v.39 no.6
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• pp.656-661
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• 2015

The goal of this paper is to analyze the performance of a word autocomplete system for mobile devices such as smartphones, tablets, and PCs. The proposed system automatically completes a partially typed string into a full word, reducing the time and effort required by a user to enter text on these devices. We collect a large amount of data from Twitter and develop both unigram and bigram dictionaries based on the frequency of words. Using these dictionaries, we analyze the performance of the word autocomplete system and devise a keystroke profit rate and recovery rate as new evaluation metrics that better describe the characteristics of the word autocomplete problem compared to previous measures such as the mean reciprocal rank or recall.

• Annual Conference on Human and Language Technology
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• 2018.10a
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• pp.394-399
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• 2018

본 연구는 SNS 텍스트에서 형태소 분석기로 분석되지 않는 비정규토큰 유형 중 고빈도로 나타나는 의존명사 내포 어형의 형태소를 인식할 수 있는 LGG 기반 패턴문법 사전 구축과 그 성능을 평가하는 것을 목표로 한다. SNS 텍스트에서는 기존의 정형화된 텍스트와 달리, 띄어쓰기 오류로 인한 미분석어가 매우 높은 빈도로 나타나는데, 특히 의존명사를 포함한 유형이 20% 이상을 차지하며 가장 빈번한 것으로 나타났다. 이에 본 연구에서는 의존명사를 내포한 비정규토큰의 띄어쓰기 오류 문제를 효과적으로 처리하기 위해, 부분 문법 그래프(Local Grammar Graph: LGG) 프레임에 기반한 패턴문법 사전을 구축하였다. 이를 SNS 코퍼스에 적용하여 성능을 평가한 결과, 정확률 91.28%, 재현율 89%, 조화 평균 90.13%의 성능을 통해 본 연구의 접근 방법론의 유용성과 구축 자원의 실효성을 입증하였다.

• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.704-706
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• 2023

이 논문에서는 과학기술분야 특화 한국어 사전학습 언어모델인 KorSciDeBERTa를 소개한다. DeBERTa Base 모델을 기반으로 약 146GB의 한국어 논문, 특허 및 보고서 등을 학습하였으며 모델의 총 파라미터의 수는 180M이다. 논문의 연구분야 분류 태스크로 성능을 평가하여 사전학습모델의 유용성을 평가하였다. 구축된 사전학습 언어모델은 한국어 과학기술 분야의 여러 자연어처리 태스크의 성능향상에 활용될 것으로 기대된다.

• Journal of Korean Elementary Science Education
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• v.24 no.3
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• pp.259-267
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• 2005

This study was to investigate the elementary students' preconception on the brightness of electric bulb and degree of consistency on their preconceptions. Participants were 160 students of fifth graders in Seoul area. They had already teamed about the brightness of series circuit and parallel circuit of batteries. After they solved six problems in the same context, we provided them a pair of circuit which was an anomalous situation. And then they conducted CCLT (Cognitive Conflict Level Test). Elementary school students showed various preconceptions when they explained the light of bulb of two Simple electric Circuits. Many Students Consistently Showed the Scientific misconceptions like 'the light of bulb of two simple electric circuits was that the more batteries and the fewer bulbs were brighter.' The level of consistency that students presented scientific misconceptions was grouped all of four, such as 'high, middle, low, and nothing.' Therefore the higher scientific achievement they have, the higher consistency they have. As the students had high consistency level, they revealed high cognitive conflict level significantly. This high consistency will help them to change their preconception on the brightness of electric bulb and their cognitive conflict.