• 한국실내디자인학회논문집
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• 제25권1호
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• pp.163-171
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• 2016

The objectives of this study is to analyze the characteristics of Chinese traditionality expression at restaurants in Beijing area. 12 restaurants were selected and visited for the investigation research. The results were as follows. First, traditional reproduction was found mainly manifested through the reproduction of traditional ornaments, in particular, the facade and interior element ornaments. Second, Traditional transformation was mainly manifested in replacement material while changing the shape slightly, or to stretch or shorten prototype shape and other negative deformation methods which did not largely out of the scope of traditional reproduction. Third, Traditional reinterpretation was expressed by abstract, symbol or metaphor on designs, usually people can not directly recognize the traditional archetype. When compare with traditional reproduction or traditional transformation, traditional reinterpretation was relatively fewer, however, in this study the traditional reinterpretation and traditional transformation have same numerical result. Reinterpretation as a positive performance method of traditional modernized, it was encouraging the phenomenon, especially in the ceiling design. Chinese traditional cloud patterns have been three-dimensional and diversification of use. And in the wall design, traditional elements have been extremely simplistic or adopted a wide variety of traditional elements, it may be preferred in diversity. In addition, furniture was tinge traditional elements in modern form, lighting was added symbolize color or picture on the traditional lighting which shape was simplified to emphasize space's traditional. But the facade, sign board, floor, and window element seems the range of variation was not wild, promote more use the positive traditional reinterpretation method.

• 한국측량학회지
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• 제37권6호
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• pp.465-472
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• 2019

사진 촬영 당시의 외부표정요소 추정 방법에는 공선조건식 기반 후방교회법이 널리 사용되지만 초기값을 필요로 하고, 그 값에 민감하다는 단점이 있다. 본 연구에서는 초기값을 필요로 하지 않는 외부표정요소 알고리즘인 쿼터니언 기반 공간후방교회법과 PnP (Perspective-n-Point algorithm)을 소개하고 그 결과를 비교하였다. 두 결과를 비교하기 위하여 일반 스마트폰으로 취득한 영상을 사용하였고, 지상기준점 취득은 본 연구진이 보유하고 있는 하이브리드 MMS (Mobile Mapping System) 점군 자료를 이용하였다. 그 결과, 공선조건식 기반 SPR (Single Photo Resection)을 참값으로 할 때, 쿼터니언 기반 SPR이 PnP 알고리즘에 비해 자세각 추정 정확도가 높았다. 카메라 위치추정의 경우에는 두 알고리즘 모두 지상기준점과 비교했을 때 0.8m 내의 정확도를 보임을 확인하였다.

• 천문학회보
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• 제39권2호
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• pp.78.2-78.2
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• 2014

MIRIS (Multi-purpose Infrared Imaging System) is the primary payload on the Korean science and technology satellite, STSAT-3, which was launched on 2013 November 21. It is designed to observe the near-infrared sky with a $3.67^{\circ}{\times}3.67^{\circ}$ field of view and a $51.6^{{\prime}{\prime}}{\times}51.6^{{\prime}{\prime}}$ pixel resolution. Using two narrow-band filters at $1.88{\mu}m$ (Pa ${\alpha}$ line) and $1.84+1.92{\mu}m$ (Pa ${\alpha}$ dual continuum), the Paschen ${\alpha}$ Galactic plane survey has been carrying out, and the area for the Galactic longitude from $+280^{\circ}$ to $+100^{\circ}$ (with the width of $-3^{\circ}$ < b < $+3^{\circ}$) has been covered by 2014 August 31. In this contribution, we present the preliminary results of the MIRIS Paschen ${\alpha}$ emission maps and compare them with other wavelength maps such as $H{\alpha}$ and dust maps. Many of the Paschen ${\alpha}$ features have been detected along the plane, and some of them are weak or invisible in the $H{\alpha}$ map and coincide well with dense cloud regions.

• 전자공학회논문지CI
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• 제48권6호
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• pp.114-122
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• 2011

본 논문에서는 무인 지상 차량의 (Unmanned Ground Vehicle, UGV)의 위치 추정을 위한 컴퓨터 비전 기술을 제안한다. 제안하는 방법은 연속적으로 획득되는 360도 거리 정보(range data)와 디지털 수치모델(Digital Surface Model, 이하 DSM)의 3차원 등록(3-D registration) 방법에 기반하고 있다. 많은 수의 3차원 점군(point clouds) 정보를 가지고 있는 거리 정보의 연속적 3차원 등록은 상당한 수행 시간을 필요로 한다. 실시간 위치 추정을 위해 우리는 투영 기반의 등록 방법과 Uniform Arc Length Sampling(이하 UALS) 방법을 제안한다. UALS는 거리영상에서의 GSD(ground sample distance)를 균일하게 유지하면서 동시에 3차원 샘플 포인트의 수를 줄일 수 있는 장점을 가지고 있다. 또한 투영 기반 등록 기술은 3차원 대응점의 탐색 시간을 감소시킨다. 두 개의 실제 항법 경로를 이용한 실험을 통하여 제안하는 방법의 성능을 검증하였다. 3차원 점군의 다양한 샘플링에 대하여 제안하는 기술의 속도 및 정합 성능을 기존 방법과 비교하였다.

• 한국인터넷방송통신학회논문지
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• 제18권2호
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• pp.1-9
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• 2018

본 연구는 생태계 측면으로 블록체인 기술을 논의하고 각 구성 요소의 역할에 대하여 조사하였다. 본 연구에서 블록체인 생태계는 구성원이 분산 원장을 기반으로 새로운 가치(서비스)를 창출하기 위해 서로 공유하고 협업하는 네트워크 구조이다. 따라서 식물생태계와 비교하면, 블록체인 생태계의 구성 요소는 서비스 제공 업체(생산자), 서비스 사용자(소비자) 및 분산 원장 소유자(분해자)로 구성된다. 블록체인 생태계에서 분해자 역할을 하는 분산 원장은 중요한 요소이다. 블록체인 생태계의 가치를 유지하고 활성화하기 위해 분산 원장 소유자가 효율성을 확보 할 수 있는 환경을 구축하여야 생태계가 활성화 될 수 있다. 본 연구는 블록체인 생태계의 내부 관계를 이해하고 관련 연구에 기여할 뿐만 아니라 생태계를 활성화시키는 데 도움이 될 것이다. 본 연구의 한계는 탐구적인 연구를 기반으로 작성한 것이며, 향후에는 객관적인 자료를 기반으로 관련 논의가 되어야 한다.

• 지식경영연구
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• 제18권3호
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• pp.81-99
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• 2017

This study is to compare the main subjects of domestic and foreign knowledge management research in terms of keywords and to clarify whether domestic knowledge management research reflects research trends in overseas knowledge management research. Specifically, we try to find out whether the central activities such as knowledge sharing, knowledge generation, and acquisition, which are knowledge management activities of knowledge management research, are being studied without bias. In order to analyze this, we analyzed the data of domestic and foreign knowledge management research for the last 5 years from 2012 to 2016. In Korea, the Knowledge Management Society of Korea collected 167 papers and 787 keywords, and collected 132 papers and 640 keywords from the Korea Society of Management Information Systems in order to distinguish the research areas. Overseas papers collected 315 papers and 1,746 keywords published by Emerald. Also, we collected 382 papers and 1,633 keywords in the Korean Management Review and collected 646 papers and 2,879 keywords in the Korean Business Education Review. Frequency analysis and network analysis of 1,642 papers and 7,685 keywords are summarized as follows. The Knowledge Management Society of Korea has focused on knowledge sharing, and in 2016, interest in knowledge transfer and knowledge search has shifted. The Journal of Knowledge Management, which is published by Emerald, has been a major concern for knowledge transfer and knowledge sharing. The research trends of the Korea Society of Management Information Systems to distinguish a clear identity of knowledge management research are focusing on smart area and mobile domain such as information security domain, cloud, smart phone, and smart work. In the Korea Society of Management Information Systems research, the main subject of knowledge sharing is also commonly found.

• 대한본초학회지
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• 제30권3호
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• pp.63-68
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• 2015

Objectives : We applied the term weighting method used in the field of data search to quantify relevancy between symptoms and medicinal herbs, and, based on this, we aim to introduce a method of visualizing the characteristics of medicinal herbs. Methods ： We proposed HF-IFF, an adaptation of TF-IDF, which is a term weighting measurement method adapted in the field of data search. Using this method, we deduced relevancy between symptoms and medicinal herbs In Cheongkangeuigam that was published in 1984 by organizing the medical theory of Cheongkang, Kim Younghoon, and visualized this as a graph in order to compare the characteristics of medicinal herbs used for different symptoms. Results ： HF-IFF is the product of HF and IFF, where HF is the frequency of the relevant medicinal herb for a set of symptoms, and IFF is the inverse of the number of formulations (FF) containing that herb. A total of 251 types of medicinal herb are used in Cheongkangeuigam, and 1538 formulations are classified according to 67 types of symptom. The overall mean for HF-IFF was 0.491, with a maximum of 4.566 and a minimum of 0.013. Conclusions ： In spite of several limitations, we were able to use HF-IFF to measure relevancy between symptoms and medicinal herbs, with formulations as an intermediate. We were able to use the quantified results to visually express the characteristics of the herbs used for symptoms by bubble chart and word-cloud from HF-IFF.

• The Journal of Advanced Prosthodontics
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• 제6권6호
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• pp.468-473
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• 2014

PURPOSE. This study aimed to evaluate the accuracy of digitizing dental impressions of abutment teeth using a white light scanner and to compare the findings among teeth types. MATERIALS AND METHODS. To assess precision, impressions of the canine, premolar, and molar prepared to receive all-ceramic crowns were repeatedly scanned to obtain five sets of 3-D data (STL files). Point clouds were compared and error sizes were measured (n=10 per type). Next, to evaluate trueness, impressions of teeth were rotated by $10^{\circ}-20^{\circ}$ and scanned. The obtained data were compared with the first set of data for precision assessment, and the error sizes were measured (n=5 per type). The Kruskal-Wallis test was performed to evaluate precision and trueness among three teeth types, and post-hoc comparisons were performed using the Mann-Whitney U test with Bonferroni correction (${\alpha}=.05$). RESULTS. Precision discrepancies for the canine, premolar, and molar were $3.7{\mu}m$, $3.2{\mu}m$, and $7.3{\mu}m$, respectively, indicating the poorest precision for the molar (P<.001). Trueness discrepancies for teeth types were $6.2{\mu}m$, $11.2{\mu}m$, and $21.8{\mu}m$, respectively, indicating the poorest trueness for the molar (P=.007). CONCLUSION. In respect to accuracy the molar showed the largest discrepancies compared with the canine and premolar. Digitizing of dental impressions of abutment teeth using a white light scanner was assessed to be a highly accurate method and provided discrepancy values in a clinically acceptable range. Further study is needed to improve digitizing performance of white light scanning in axial wall.

• Journal of the Korean Data and Information Science Society
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• 제27권4호
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• pp.845-854
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• 2016

감성분석 (sentiment analysis) 혹은 오피니언 마이닝 (opinion mining)은 블로그, 리뷰, 신문기사나 소셜네트워크 등의 문서에서 개인의 주관적인 정보 혹은 의견을 알아보는데 사용되는 텍스트 마이닝의 기법이다. 평점이 있는 온라인 리뷰에서 리뷰 텍스트에 기반한 평점의 분류문제에 대한 선행연구에서는 이진 분류만을 고려하였다. 그러나 긍정과 부정 외에도 중립적인 의견도 있을 수 있기 때문에 이진 분류보다는 다범주 분류가 더 적합할 것이다. 본 연구에서는 리뷰 텍스트에 기반한 평점의 다범주 분류문제를 고려한다. 전처리에서는 카이제곱 통계량을 이용하여 평점과 연관된 단어들을 추출하고 이를 입력변수로 삼아 지지벡터기계 (support vector machines)와 비례오즈 모형 (proportional odds model) 등 다범주 분류기의 예측력을 비교한다.

• 천문학회보
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• 제41권1호
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• pp.49.2-49.2
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• 2016

MIRIS Paschen-${\alpha}$ ($Pa{\alpha}$) Galactic Plane Survey (MIPAPS) presents the first whole Galactic plane (with the width of $-3^{\circ}$ < b < $+3^{\circ}$) map for the $Pa{\alpha}$ emission line. Many of $Pa{\alpha}$ features were detected more brightly than the previous observed $H{\alpha}$ features, and they coincide well with dense cloud regions. This means that newly detected $Pa{\alpha}$ blobs can indicate massive star forming regions (H II regions) screened by foreground clouds around Galactic plane. Anderson et al. (2014) presented the most complete Galactic H II region catalog based on WISE 12 and 22 um data. Of the cataloged sources, only ~20% have measured radio recombination line (RRL) or $H{\alpha}$ emission, and the rest are still candidate H II regions. At first, we compare the MIPAPS results with Anderson's H II region catalog for the Cepheus region (Galactic longitude from $+96^{\circ}$ to $116^{\circ}$). From this, we will investigate how much MIPAPS can supplement the catalog, and show MIPAPS scientific potential. After that, we plan to extend this work to the whole plane, and finally catalog MIRIS $Pa{\alpha}$ blob sources for the whole Galactic plane.