• 산업기술연구
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• 제26권B호
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• pp.43-51
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• 2006

Through the result of calculating the deviation between the value calculated from two-dimensional number formula, one-dimensional number interpretation, and curving part water surface type calculation method, we could confirmed that the deviation is reduced more than 50% when we use curving part water surface type calculation method. Also it was confirmed that there occurs the reduction rate of maximum 59% as the result of comparing with one-dimensional number interpretation since the reduction rate of safe room height was 20%, in 500 CMS of flood water quantity when we planted the construction of levee by curving part water surface type calculation method. And therefore, we have confirmed that the curving water surface type calculation method can be used as a simple formula in rivers with water quantity less than 500 CMS that flows in and out in Jess than 90 degree angle.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제12권4호
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• pp.308-318
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• 2012

Captions include information which relates to the images. In order to obtain the information in the captions, text extraction methods from images have been developed. However, most existing methods can be applied to captions with a fixed height or stroke width using fixed pixel-size or block-size operators which are derived from morphological supposition. We propose an edge connected components based method that can extract Korean captions that are composed of various sizes and fonts. We analyze the properties of edge connected components embedding captions and build a decision tree which discriminates edge connected components which include captions from ones which do not. The images for the experiment are collected from broadcast programs such as documentaries and news programs which include captions with various heights and fonts. We evaluate our proposed method by comparing the performance of the latent caption area extraction. The experiment shows that the proposed method can efficiently extract various sizes of Korean captions.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2018년도 춘계 학술논문 발표대회
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• pp.6-7
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• 2018

Although the importance of the construction lift is increasing, no improvements are being made to its operating system. This study proposed an optimal call-response algorithm of the construction lift for high-rise building construction by using image sensing technology, height measuring sensor, and load cell. This algorithm makes turn-around decision of the construction lift by considering the information and the number of user. It occurs when the call comes from a floor where the construction lift already have passed. The purpose of this study is to reduce the total latency of the construction lift user. Furthermore, it is possible to prevent delay in construction duration by carrying out a priority operation of the construction lift for the critical workforce.

• 산업기술연구
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• 제18권
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• pp.51-59
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• 1998

To flood forecastion, until now, Storage function method, Streamflow Synthesis and Reservoir Regulation, and HEC-1 model have been analysed generally in various definite simulation. Generally, Streamflow Synthesis and Reservoir Regulation and HEC-1 model are more delicacy and more excellent model than Storage function method in physically. But the resource huge for test of models. On the contrary, Storage function method has not only a few model various and data for decision but also has poor theory background in model excessively simpled water circulation about a basin. In this reason, this study is purpose to develop a statistical flood forecasting model that can forecast with accuracy variety of water height to Nak-Dong river vibration spots in flood with accumulated water resource.

• 수도
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• 통권30호
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• pp.57-62
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• 1984

본 연구는 급속여과지에 있어서 현탁물 부착모델에 관한 연구이다. 금회의 연구를 통하여 수정타원형 부착모델을 제안하여 실측치와 잘 일치하는 여과 저항식을 유도했다. 유도된 이 여과저항식은 금후 급속여과지 설계에 있어서 최적 높이 결정에 기여함으로써 경제적인 급속여과지를 설계하는데 중점을 두고 본 연구를 시행하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권12호
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• pp.4763-4775
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• 2020

This research aims to develop a deep learning-based method that automatically detects and segments the defects on railroad surfaces to reduce the cost of visual inspection of the railroad. We developed our segmentation model by modifying a fully convolutional network model [1], a well-known segmentation model used for machine learning, to detect and segment railroad surface defects. The data used in this research are images of the railroad surface with one or more defect regions. Railroad images were cropped to a suitable size, considering the long height and relatively narrow width of the images. They were also normalized based on the variance and mean of the data images. Using these images, the suggested model was trained to segment the defect regions. The proposed method showed promising results in the segmentation of defects. We consider that the proposed method can facilitate decision-making about railroad maintenance, and potentially be applied for other analyses.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2020년도 가을 학술논문 발표대회
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• pp.8-9
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• 2020

While non-uniform shapes are appearing as an apparent building style recently, most architects predominantly think structure and construction technology should support the designed shape of non-uniform structures determined by the architect. Within such a governance structure of architect's perception, the role of an engineer is emphasized for technical support only. Especially, in making a decision on a structural design and plan, if various and objective reviews are not conducted, the design is very likely to be left only as a drawing even if the design is appropriate for criteria and norms. With the recognition of such problems, the present study attempted to propose an equal cooperative relationship between architects and engineers in designing non-uniform structures in the future.

• Journal of the Korean Data and Information Science Society
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• 제22권3호
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• pp.515-521
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• 2011

'말산업육성법' 제정에 따라 국내 승마산업의 저변확대를 위해 자질이 우수한 국내산 승용마 생산 및 개량에 대한 연구가 절실히 필요한 실정이다. 따라서 본 논문에서는 국내에서 승용마로 활용되고 있는 3품종 (웜블러드, 더러브렛, 제주산마) 32두에 대해 12항목의 체형을 측정하여, 측정자료를 바탕으로 판별분석을 실시한 결과 81.3%가 정확하게 분류되는 것을 확인 할 수 있었다. 본 연구의 결과는 향후 체구성 분석을 통한 말의 유형 (경주마, 승용마, 재활치료마, 역용마, 비육마) 및 승용마 외모 심사를 판단하는 모형 개발에 기초자료로 활용될 것이며 이는 향후 3D 영상촬영측정치를 활용한 한국형 승용마 생산 및 개량화 연구에 활용될 것으로 사료된다.

• 한국지리정보학회지
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• 제16권4호
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• pp.64-78
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• 2013

다양한 단위사업안이 고려되는 유역치수계획에서 경제적 효율성이 높고 최적규모를 나타내는 최적 투자대안의 결정은 사업의 시행여부를 판단하는 매우 중요한 절차이다. 치수계획 수립시 투자대안은 다수의 단위사업간 관계를 고려하여 1개 이상의 단위사업으로 조합된 의사결정안을 의미하며, 이때 홍수저감시설의 종류와 규모별로 구성되는 단위사업의 수가 많아 최적 투자대안을 결정하는 것은 어려운 것이 현실이다. 따라서 본 연구는 경제적인 측면에서 최적 투자대안을 결정하기 위하여 홍수저감시설 중 댐증고사업을 대상으로 경제성 분석을 통해 최적규모를 결정하는 방안을 제시하고자 한다. 영산강 유역의 4개 댐의 증고높이를 결정하기 위해 단위사업별 홍수저감량을 산정하는 '시나리오1'과 단위사업의 조합에 의해 구성된 투자대안별 홍수저감량을 산정하는 '시나리오2'를 비교하였다. 연구결과 '시나리오2'에 의해 최적 규모를 결정하는 것이 '시나리오1'을 이용하는 것에 비해 유역 전체의 상황이 종합적으로 고려된 경제적인 규모결정에 적합한 것으로 나타났다.

• 대한치과교정학회지
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• 제32권1호통권90호
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• pp.1-7
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• 2002

개방교합 경향을 갖고 있으나 보상작용 등에 의해 전치부 개방교합을 보이지 않는 성인 여성환자들의 보상양태를 관찰하여 진단 및 치료계획 수립에 도움을 주고자 본 연구를 시행하였다. 피개교합 심도지수(ODI)가 66이하이며 전치부 개방교합을 나타내는 증례(50명)를 대조군으로, 피개교합 심도지수(ODI)가 66이하이나 보상작용에 의하여 전치부 개방교합을 보이지 않는 증례(55명)를 실험군으로 하였다. 대조군과 실험군의 평균연령은 각각 23.88 ${\pm}$ 4.53세와 24.7 ${\pm}$ 6.20세이었다. 측모두부방사선 사진을 촬영하였으며 두 군간의 형태학적 차이를 비교하기 위해 41개 항목에 대한계측 및 통계학적인 분석을 시행하였다. 계측항목 중 lower face height, N-Me, ANS-Me, ANS-Me/N-Me ratio, Mx1-SN, Mx1-FH, Mx1-NA(mm), Mx1-APo, PP to Mx6, Mn1-NB(degree), Mn1-NB(mm)에서 통계학적인 유의차가 나타났다. 실험군에서는 감소된 lower face height N-Me, ANS-Me, ANS-Me/N-Me ratio와 상하악전치의 설측 경사 및 후퇴, 대조군에서는 상악 구치의 과맹출이 관찰되었다.