• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.953-954
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• 2013

Smartphone, Tablet PC users increases rapidly, the amount of data is an increasing number and their characteristics vary. Big Data field to collect vast amounts of data such that create new value by analyzing has attracted attention. In recent years, big data technology to use for marketing and product planning movement is growing. In this paper, we would like to analyze the trends of big data.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2014.05a
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• pp.68-69
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• 2014

Production of freeform concrete segments use various molds because of the unique shape of it unlike common concrete segments. As a result, the mold for freeform concrete segments cannot be reused. Therefor, cost overrun is occurred by needs of more time and manpower to produce the freeform concrete segments compared with common concrete segments. To prevent the cost overrun, a new production method for the freeform concrete segments is needed to develop and the requirements for it should be analyzed before. Therefor, the aim of this study is requirements analysis for production of freeform concrete segment. The requirements of production of freeform concrete segments and form for it is analyzed in this study. The result of this study would be used to suggest the new production method of freeform concrete segments.

• Korea Science and Art Forum
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• v.37 no.4
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• pp.205-216
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• 2019

Today, there have been more museums with architectural freeform structure. From an academic perspective, that caused a change in the paradigm of the genealogy of architectural forms. Accordingly, it has been required to find whether the freeform architecture influences an exhibition space. Therefore, in order to analyze the correlation between freeform architecture and exhibition space, this study looks into the tendency of actual freeform architecture through case analysis after 2000. An exhibition space of museum serves as a socially, culturally, and locally symbolic icon and has the function of delivering information to viewers through the aesthetic presentation of articles on exhibition. This study is meaningful in the point that it drew the conclusion of the correlation between freeform architecture and exhibition space in order to infer that a freeform exhibition space is more effective at viewers' spatial experience. The method and results of this study are presented as follows: Firstly, literature survey on the concept of the freerform architecture of museum and the classification of architectural forms was conducted and previous studies were analyzed in order to establish criteria. Secondly, a case study was conducted through visits to Singapore, Germany, and the Netherlands in order to look into the current state and characteristics of freeform architecture and exhibition space. In this case, Karel Vollers' architectural freeform criteria were used for analysis. Thirdly, to prove the correlation between freeform architecture and exhibition space, each case was cross-checked on the basis of Karel Vollers' architectural freeform criteria and freeform exhibition classification, and then results were drawn. The study results are presented as follows: Firstly, EX(angle, ortho) of freeform architecture had a significant correlation with the diagonal form of exhibition space. That was proved 92.3% accurately more in the Netherlands and Germany than in Singapore. However, the curve form of exhibition space had a unclear correlation. In Singapore case, the curve form correlation was made through RO, FR, and TW. Secondly, freeform architecture had complex-typed combination with the diagonal and curve forms of exhibition space. In particular, N-02 and G-02 had a combination form, basically EX, and partially various forms so as to induce the complexity of free form. As such, architectural freeform makes it possible to achieve infinite transformation in various combinations. For responses, combinational approaches are required in multilateral ways. Based on this study, it will be planned to analyze the correlation between freeform architecture of museum and exhibition presentation.

• Convergence Security Journal
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• v.22 no.4
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• pp.85-97
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• 2022

With the development of big data technology, data is rapidly entering a hyperconnected intelligent society that accelerates innovative growth in all industries. The convergence industry, which holds and utilizes various high-quality data, is becoming a new growth engine, and big data is fused to various traditional industries. In particular, in the medical field, structured data such as electronic medical record data and unstructured medical data such as CT and MRI are used together to increase the accuracy of disease prediction and diagnosis. Currently, the importance and size of unstructured data are increasing day by day in the medical industry, but conventional data security technologies and policies are structured data-oriented, and considerations for the security and utilization of unstructured data are insufficient. In order for medical treatment using big data to be activated in the future, data diversity and security must be internalized and organically linked at the stage of data construction, distribution, and utilization. In this paper, the current status of domestic and foreign data security systems and technologies is analyzed. After that, it is proposed to add unstructured data-centered de-identification technology to the guidelines for unstructured data and technology application cases in the industry so that unstructured data can be actively used in the medical field, and to establish standards for judging personal information for unstructured data. Furthermore, an object feature-based identification ID that can be used for unstructured data without infringing on personal information is proposed.

• Computational Structural Engineering
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• v.29 no.2
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• pp.12-17
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• 2016

본 기사에서 대형 비정형 건축물의 시공 중 자동 모니터링 사례를 소개하였다. 소개한 사례에서는 무선 자동 계측 시스템을 이용하여 변형률계, 경사계, 변위계 등이 총 88개 설치되어 약 13개월 동안 장기 모니터링이 수행되었다. 무선 자동 계측시스템은 장기간의 데이터를 확보하고 데이터 간의 상관성 및 이력분석을 용이하게 하였다. 이를 통해 대상 구조물의 시공 중 안전성 및 안정성을 확보하고, 정밀 시공을 구현하는데 기여할 수 있었다.

• Annual Conference of KIPS
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• 2017.04a
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• pp.850-853
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• 2017

본 논문은, 크롤링을 통해 얻은 비정형 데이터를 'Python'의 'KoNLPy' 라이브러리를 사용해 형태소 분석한 후 텍스트 마이닝을 통한 감성사전 구축을 목표로 하고 있으며, 형태소들의 빈도수를 기반으로 가중치로 두어 선별된 단어들을 이용해 긍정과 부정으로 나누어 카테고리화 한다. 이후, 선별한 카테고리에 단어의 극성을 판단하여 감성사전을 모델링한다. 실험을 위하여, 온라인 쇼핑몰 리뷰를 크롤링하여 비정형 데이터를 수집하고, 수집한 데이터를 분석, 가공 과정을 거쳐 정형화된 단어를 추출한다. 그 후에, 리뷰에 자주 사용되는 단어를 바탕으로 카테고리를 구성하였다. 구성된 카테고리 별로 단어의 극성을 판단하여 소비자 성향을 분석한 결과, 단순히 긍정과 부정을 표현하는 범용 감성사전보다 더 세분화된 감성 사전을 구축 할 수 있었다.

• Annual Conference on Human and Language Technology
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• 2018.10a
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• pp.487-492
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• 2018

4차산업 혁명의 여파로 국내에서는 다양한 분야에 인공지능과 빅데이터 기술을 활용하여 이전에 시행 중인 다양한 서비스 분야에 기술적 접목과 보완을 시도하고 있다. 특히 금융권에서 자금을 빌린 기업들을 대상으로 여신 안정성을 확보하고 선제적인 대응을 위해 온라인 뉴스기사들과 SNS 데이터 등을 이용하여 부실가능성을 예측하고 실제 업무에 도입하려는 시도들이 국내 주요 은행들을 중심으로 활발히 진행 중이다. 우리는 국내의 국책은행에서 수행한 비정형 데이터 기반의 기업의 부실징후 예측 시스템 개발 과정에서 시도된 다양한 분석 방법과 결과 그리고 과정 중에 발생한 문제점들에 관해 기술하고 관련 이슈들에 관하여 다룬다. 결과적으로 본 논문은 레이블이 없는 대량의 기사들에 레이블을 달기 위한 자동 태거(tagger) 개발과 뉴스 기사 예측 결과로부터 부실 가능성을 예측하기 위한 모델 및 성능 면에서 기사 예측 정확도 92%(AUC 0.96) 및 부실 가능성 기업 예측에서도 정형 데이터 분석결과에 견줄만한 성과를 이루었고 이에 관해 보고한다.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.1
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• pp.102-110
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• 2015

In this paper, adaptive matching method using the same features for rigid and deformable object images is proposed. Firstly, we determine whether the two images are matched or not using the geometric verification and generate the matching information. Decision boundary which separates deformable matching-pair from non-matching pair is obtained through statistical analysis of matching information. The experimental result shows that the proposed method lowers the computational complexity and increases the matching accuracy compared to the existing method.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.247-247
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• 2021

국내외적으로 하도 내의 흐름을 해석하기 위해 다양한 2차원 흐름해석 모형이 적용되고 있다. 2차원 흐름해석 모형은 기존의 1차원 흐름 해석 모형에서 해석하기 어려운 확산형 홍수파 해석에 강점을 가지고 있어 도심 하천의 외수 범람 예측 등에도 사용되고 있다. 하지만 복잡한 지형 형상을 어떻게 격자로 구성하는가에 따라 해석의 효율성과 정확성이 크게 좌우된다. 초기의 2차원 흐름해석 모형은 주로 정형격자 기반의 단순한 셀을 제작하여 구동되었다. 하지만 매우 빠른 유속과 복잡한 형상을 반영하기 위해서는 전체 격자를 조밀하게 구성할 필요가 있으므로 계산 효율이 떨어지는 문제점이 있다. 그렇기 때문에 대안으로 삼각망과 혼합망 등 비정형 격자를 사용하여 필요한 구역만 격자를 조밀하게 구성하는 방법을 사용하고 있지만 이 방법 또한 추가적인 계산 과정에 따른 계산 시간의 증가가 필연적이다. 따라서 최근에는 정형격자와 비정형격자에 대하여 wet-dry front matrix 최적화, 절점제거법 등 다양한 기법을 통하여 계산 효율을 향상시키고 있는 실정이다. 따라서 본 연구에서는 HLLC Rimann solver와 2차 정확도 기법인 MUSCL-Hancock Method를 적용한 유한체적기반 천수방정식을 기반으로 다양한 격자 구성에 따른 2차원 흐름해석 모형의 효율성 분석을 수행하고, 이를 통해 최적의 흐름해석 방안을 제시하고자 한다.

• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.105-111
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• 2022

Multiple-choice survey types have been mainly performed to analyze students' needs for online classes. However, in order to analyze the exact needs of students, unstructured data analysis by answer for essay question is required. Big data is applied in various fields because it is possible to analyze unstructured data. This study aims to investigate and analyze what students want subjects or topics for software lecture in general education that process on non-face-to-face online teaching methods. As for the experimental method, keyword analysis and association analysis of big data were performed with unstructured data by giving a subjective questionnaire to students. By the result, we are able to know the keyword what the students want for software lecture, so it will be an important data for planning and designing software lecture of liberal arts in the future as students can grasp the topics they want to learn.