• 한국정밀공학회지
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• 제10권1호
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• pp.108-113
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• 1993

This paper proposes a method for obtaining blend surfaces between machining data of surfaces. This blending algorithm consists of trangation, detection, tracing, construction of blend surfaces, and generation of machining data for the blend surfaces. Inpus of the algorithm are a blend radius and machining data of surfaces to be blended. CL data as well as CC data can be applied as an input machining data of the algorithm.

• 디지털융복합연구
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• 제10권9호
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• pp.333-338
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• 2012

본 논문은 윤곽 형상에 밀착된 임의 형상 마스터를 이용한 스키니 스머지 블렌딩 방법에 관한 것이다. 스머지 툴(smudge tool)은 Adobe Photoshop CS6에 내장된 대중적인 그래픽 툴로서 물감을 화폭 상에 문질러서 흐려지게 할 시에 이용된다. 그 효과는 지두화법과 매우 유사하다. 스머지 툴은 Adobe Photoshop CS6의 툴박스에서 스머지 아이콘을 선택한 다음에 화폭 위를 클릭한 후, 마우스 버튼을 누른 상태에서 번짐 효과를 주고 싶은 방향으로 끌어당김으로써 그 기능을 이용할 수 있다. 그러나 기존의 스머지 툴은 마스터 반경 내의 모든 화소값을 블렌딩시켜 결과 영상을 생성함에 따라 원하지 않는 부위의 화소마저도 변형시키는 단점이 있다. 이러한 단점을 해결하고자 본 논문에서는 임의 형상 마스터를 이용한 스키니 스머지 블렌딩 방법을 제안하고자 한다. 제안된 블렌딩 방법은 컬러 영상 분할에 통해 윤곽 형상에 밀착된 임의 형상 마스터를 추출함에 따라 배경에 관계없이 변형하고 싶은 부분에만 번짐 효과를 적용시킬 수 있는 장점이 있다.

• 한국해양공학회:학술대회논문집
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• 한국해양공학회 2002년도 추계학술대회 논문집
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• pp.181-185
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• 2002

The modeling of realistic water-jet geometry is needed in order to facilitate the design modifications. The present paper proposes a method of generating inlet geometry. Inlet duct was represented by NURBS method which utilized the skinning and local cubic interpolation scheme. Three test examples are presented demonstrating the effectiveness of the methods of skinning and local cubic interpolation. Computational examples associated with practical configurations have shown the usefulness of the present method.

• 플랜트 저널
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• 제18권1호
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• pp.55-61
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• 2022

본 연구에서는 역청탄으로 설계된 870MW급 유연탄 화력발전소를 대상으로 발전기 출력, 연소조건, 통풍조건을 일정하게 유지하면서 역청탄과 아역청탄을 혼합하여 연소함에 따른 슬래깅 발생 영향을 분석하였으며, 이에 따른 보일러 성능에 영향을 주지 않는 허용 가능한 혼탄 방안을 제시하였다. 아역청탄의 혼합 비율을 10%, 20%, 40%, 60%, 80% 등으로 조정하여 원소분석, 공업분석, 회융점 변화, 슬래깅 지수 등을 확인하였고, 적정 혼탄 조건은 아역청탄은 40% 이하로 혼탄하고, 회의 산성분 대비 염기성분 비율은 0.4이하 또는 1이상, 총 알칼리는 3.5이하, 융점 슬래깅 지수는 1,345℃ 이상, 원소분석 시 회함량은 13% 이하, 공업분석 시 회함량은 15% 이하, 초기용융점은 최소 1,200℃ 이상이어야 바람직하다고 판단된다.

• Elastomers and Composites
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• 제52권4호
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• pp.242-248
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• 2017

Wet masterbatch (WMB) technology is studied to develop high-content and highly disperse silica-filled compounds. This technology refers to the solidification of surface-modified silica with a rubber solution or latex. Until now, researchs based on styrene butadiene rubber (SBR)/silica WMB has been mainly performed. However, the blending of SBR/silica WMB and BR is not known and is currently under research and development. Therefore, in this study, the BR blending method suitable for emulsion (ESBR)/silica WMB is investigated by measuring their cure characteristics and the mechanical and dynamic viscoelastic properties. As a result, it was confirmed that the blending of ESBR/silica WMB and BR/silica dry masterbatch is most appropriate. However, it showed a disadvantage compared with the conventional mixing method, which was due to the surfactant remained and the sulfuric acid used as the coagulant.

• ETRI Journal
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• 제44권1호
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• pp.24-37
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• 2022

Virtual view synthesis, which generates novel views similar to the characteristics of actually acquired images, is an essential technical component for delivering an immersive video with realistic binocular disparity and smooth motion parallax. This is typically achieved in sequence by warping the given images to the designated viewing position, blending warped images, and filling the remaining holes. When considering 6DoF use cases with huge motion, the warping method in patch unit is more preferable than other conventional methods running in pixel unit. Regarding the prior case, the quality of synthesized image is highly relevant to the means of blending. Based on such aspect, we proposed a novel blending architecture that exploits the similarity of the directions of rays and the distribution of depth values. By further employing the proposed method, results showed that more enhanced view was synthesized compared with the well-designed synthesizers used within moving picture expert group (MPEG-I). Moreover, we explained the GPU-based implementation synthesizing and rendering views in the level of real time by considering the applicability for immersive video service.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2003년도 학술회의 논문집 정보 및 제어부문 A
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• pp.191-194
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• 2003

In this paper, we propose a new accurate and robust image mosaic technique of the mural underdrawing taken from the infra-red camera, which is based on multiple image registration and adaptive blending technique. The image mosaicing methods which have been developed so far have the following deficits. It is hard to generate a high resolution image when there are regions that do not have features or intensity gradients, and there is a trade-off in overlapping region site in view of registration and blending. We consider these issues as follows. First, in order to mosaic Images with neither noticeable features nor intensity gradients, we use a Projected supplementary pattern and pseudo color image for features in the image Pieces which are registered. Second, we search the overlapping region size with minimum blending error between two adjacent images and then apply blending technique to minimum error overlapping region. Finally, we could find our proposed method is more effective and efficient for image mosaicing than conventional mosaic techniques and also is more adequate for the application of infra-red mural underdrawing mosaicing. Experimental results show the accuracy and robustness of the algorithm.

• 한국연초학회지
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• 제22권1호
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• pp.76-83
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• 2000

This study was carried out to predict blending ratio of cut tobacco(CT), expanded stem(ES), and expanded cut tobacco(ECT) in cigarettes. CT, ES, and ECT samples from A brand were, ground and blended with reference to A blending ratio, and scanned by near infrared spectroscopy(NIRSystem Co., Model 6500). Calibration equations were developed and then determined blending ratio by NIRS. The standard error of calibration(SEC) and performance(SEP) of C factory samples between NIRS and known blending ratio were 0.97%, 1.93% for CT, 0.50%, 1.12 % for ES and 0.68%, 1.10% for ECT, respectively. The SEP of CT, ES and ECT of Band D factory samples determined by C factory calibration equation were more inaccurate than those of C factory samples determined by C factory calibration equations. These results were caused by the difference of CT, ES and ECT spectra followed by each factory. The SEP of CT, ES and ECT of Band D factories determined by calibration equations derived from each factory samples were more accurate than those of determined by calibration equation derived from C factory samples. Each factory SEP of CT, ES and ECT determined by calibration equation derived from all calibration samples(B+C+D factory) was similar to that determined by calibration equation derived from each factory samples. To improve the analytical inaccuracy caused by spectra difference, we need to apply a specific calibration equation for each factory sample. Data in development of specific calibrations between sample and NIRS spectra might supply a method for rapid determination of blending ratio of CT, ES, and ECT.

• 자원리싸이클링
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• 제24권6호
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• pp.61-68
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• 2015

본 연구에서는 천연수경성석회(NHL) 모르타르에 바잘트 섬유를 혼합하여 섬유혼합에 따른 강도특성을 연구하고자 하였다. 건식 및 습식 4가지로하여 혼합방법에 따른 물리적 특성발현을 확인하였으며, 압축강도 및 휨강도 등을 고려하여 강도 특성이 최대로 발현되는 혼합방법 한 가지를 선택하였다. 실험결과 물성 발현은 습식혼합보다 건식혼합에서 더 우수하였으며, 건식혼합 중 바인더(NHL)와 섬유를 pre-mixing 한 후 물과 골재를 순차적으로 혼합하여 섬유의 분산력을 높여주는 혼합방법을 선택하였다. 이후 섬유 길이에 따른 물리적 특성 발현성을 확인하였다. 바잘트 섬유 길이에 따른 압축강도 및 휨강도 측정결과, Plain 샘플 대비 섬유 혼합에 따라 압축강도는 감소하는 경향성을 보였으며, 휨강도는 증가하는 경향을 나타내었다. 또한 섬유를 혼합한 샘플 중에서 섬유길이 6 mm일 때 가장 우수한 강도 특성을 나타내었다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2018년도 학술발표회
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• pp.155-155
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• 2018

Uncertainty in flood forecasting using a coupled meteorological and hydrological model is arisen from various sources, especially the uncertainty comes from the inaccuracy of Quantitative Precipitation Forecasts (QPFs). In order to improve the capability of flood forecast, the uncertainty estimation and mitigation are required to perform. This study is conducted to investigate and reduce such uncertainty. First, ensemble QPFs are generated by using Monte - Carlo simulation, then each ensemble member is forced as input for a hydrological model to obtain ensemble streamflow prediction. Likelihood measures are evaluated to identify feasible member. These members are retained to define upper and lower limits of the uncertainty interval and assess the uncertainty. To mitigate the uncertainty for very short lead time, a blending method, which merges the ensemble QPFs with radar-based rainfall prediction considering both qualitative and quantitative skills, is proposed. Finally, blending bias ratios, which are estimated from previous time step, are used to update the members over total lead time. The proposed method is verified for the two flood events in 2013 and 2016 in the Yeonguol and Soyang watersheds that are located in the Han River basin, South Korea. The uncertainty in flood forecasting using a coupled Local Data Assimilation and Prediction System (LDAPS) and Sejong University Rainfall - Runoff (SURR) model is investigated and then mitigated by blending the generated ensemble LDAPS members with radar-based rainfall prediction that uses McGill algorithm for precipitation nowcasting by Lagrangian extrapolation (MAPLE). The results show that the uncertainty of flood forecasting using the coupled model increases when the lead time is longer. The mitigation method indicates its effectiveness for mitigating the uncertainty with the increases of the percentage of feasible member (POFM) and the ratio of the number of observations that fall into the uncertainty interval (p-factor).