• 한국컴퓨터그래픽스학회논문지
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• 제25권5호
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• pp.1-9
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• 2019

본 논문에서는 강우시 빗방울로 인해 왜곡된 연안 파랑 비디오 영상에서 빗방울 제거와 제거된 영역에 대한 배경 정보를 복원하기 위한 적대적생성신경망을 이용한 영상 강화 방법을 제안하고자 한다. 영상 변환에 널리 사용되는 Pix2Pix 네트워크와 현재 단일 이미지에 대한 빗방울 제거에 좋은 성능을 보여주고 있는 Attentive GAN을 실험 대상 모델로 구현하고, 빗방울 제거를 위한 공개 데이터 셋을 이용하여 두 모델을 학습한 후 빗방울 왜곡 연안 파랑 영상의 빗방울 제거 및 배경 정보 복원 성능을 평가하였다. 연안 파랑 비디오에 영상에 대한 빗방울 왜곡 보정 성능을 향상시키기 위해 실제 연안에서 빗방울 유무가 짝을 이룬 데이터 셋을 직접 획득한 후 사전 학습된 모델에 대하여 전이 학습에 사용하여 빗방울 왜곡 보정에 대한 성능 향상을 확인하였다. 모델의 성능은 빗방울 왜곡 영상으로부터 파랑 정보 복원 성능을 최대 신호 대 잡음비와 구조적 유사도를 이용하여 평가하였으며, 전이 학습을 통해 파인 튜닝된 Pix2Pix 모델이 연안 파랑 비디오 영상의 빗방울 왜곡에 대한 가장 우수한 복원 성능을 보였다.

• Current Research on Agriculture and Life Sciences
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• 제1권
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• pp.113-140
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• 1983

This is a study on a landscape planning along the street 1~4, which are gateways to Taegu city and an important scenery. Therefore, emphasis was given to provide a bright, clean and beautiful first impression to visitors and citizens. The area is being developed for education and athletic park. Plans to construct a fountain, pergolas and a pond were set up to complement the active and passive facilities to the existing a athletic facilities in the area. Since D part in the area have alkali soil (pH 8.1), soil amendment is necessary for successful growth of trees and ground covers. When the area is filled or added with new soil for soil amendment, it will be important to use fresh soil which can support plant growth. It will be ideal to use ground covers and shrubs on the existing retaining walls along the street for keeping natural vegetation and slope stability instead of further cutting and reconstruction. It is not reasonable in technical and economic sense to remove rocks of the slope for planting trees. In order to harmonize plant color distribute, tall needle and broad leaf trees in the background as a screen, flowering trees were arranged in groups at front, and annuals were mass-planted along the footway. Natural-form-trees will be planted because they not only serve as a greenbelt but also are more economics in maintenance than formative trees.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 2017년도 춘계공동학술대회
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• pp.42-42
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• 2017

Prediction of rice yield during a growing season would be very helpful to magnify rice yield as it also allows better farm practices to maximize yield with greater profit and lesser costs. UAV imagery based automatic detection of rice can be a relevant solution for early prediction of yield. So, we propose an image processing technique to predict rice yield using low altitude UAV images. We proposed $L^*a^*b^*$ color space based image segmentation algorithm. All images were captured using UAV mounted RGB camera. The proposed algorithm was developed to find out rice grain area from the image background. We took RGB image and applied filter to remove noise and converted RGB image to $L^*a^*b^*$ color space. All color information contain in both $a^*$ and $b^*$ layers and by using k-mean clustering classification of these colors were executed. Variation between two colors can be measured and labelling of pixels was completed by cluster index. Image was finally segmented using color. The proposed method showed that rice grain could be segmented and we can recognize rice grains from the UAV images. We can analyze grain areas and by estimating area and volume we could predict rice yield.

• 한국전산유체공학회지
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• 제21권2호
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• pp.47-53
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• 2016

This study investigated natural convection flow behavior in airflow path designed in concrete dry storage cask to remove the decay heat from spent nuclear fuels. Using FLUENT 16.1 code, thermal analysis for natural convection was carried out for three dimensional, 1/4 symmetry model under the normal condition that inlet ducts are 100% open. The maximum temperatures on other components except the fuel regions were satisfied with allowable values suggested in nuclear regulation-1536. From velocity and temperature distributions along the flow direction, the flow behavior in horizontal duct of air inlet and outlet duct, annular flow-path and bent pipe was delineated in detail. Theses results will be used as the theoretical background for the composing of airflow path for the designing of passive heat removal system by understanding the flow phenomena in airflow path.

• 한국산학기술학회:학술대회논문집
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• 한국산학기술학회 2010년도 추계학술발표논문집 1부
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• pp.159-162
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• 2010

There are some limitations to advance technology glaring and luminous Intensity uniformity known as the weak point of existing LED lamp. To improve the two weak points, there have been no special alternative methods so far. Instead, one method which is being used such as the twisting secondary lens or arbitrary structure to remove glaring and improve luminous Intensity uniformity. Based on this academic background, it is necessary to be examined on Technology of Optical System to solve the two weak points by using not complicated but simple methods. This paper will examine the angle of reflection in order to improve luminous intensity uniformity. Also, this research will present the method using lighting analysis program to verify a hypothesis. Through the analysis program, we could understand the simulation analysis method and got some problems about the analysis result. After analysis of causes through reinterpretation of problems, we have reached a conclusion that was changed according to reflectivity and the shape of aspherics by main cause which effected luminous Intensity uniformity and glaring.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.241-244
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• 2005

Many building detection methods mainly rely on line segments extracted from aerial or satellite imagery. Building detection methods based on line segments, however, are difficult to succeed in high resolution satellite imagery such as IKONOS imagery, for most buildings in IKONOS imagery have small size of roofs with low contrast between roof and background. In this paper, we propose an efficient method to extract line segments and group them at the same time. First, edge preserving filtering is applied to the imagery to remove the noise. Second, we segment the imagery by watershed method, which collects the pixels with similar intensities to obtain homogeneous region. The boundaries of homogeneous region are not completely coincident with roof boundaries due to low contrast in the vicinity of the roof boundaries. Finally, to resolve this problem, we set up snake model with segmented region boundaries as initial snake's positions. We used a greedy algorithm to fit a snake to roof boundary. Experimental results show our method can obtain more .correct roof boundary with small size and low contrast from IKONOS imagery. Snake algorithm, building roof detection, watershed segmentation, edge-preserving filtering

• 대한한의학회지
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• 제29권2호
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• pp.32-40
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• 2008

Background: Angelica dahurica has been used in various clinical cases. Its taste is hot and its property is warm, dry and nonpoisonous. Its efficacy is to remove wind-damp, cure swelling and edema, exhaust pus, stop itching, rhinitis and leukorrhea. Object: To test through experiment Angelica dahurica's analgesic and anti-inflammatory efficacy. Method: Inject acetic acid as a pain-inducing substance to the mice and measure visceral pain bywrithing reflex. Inject carrageenan that is an edema-inducing substance to the rat's paw and measure volume of edema. Take thermal pain to mice with plantar test and measure paw withdrawal latency. Normal group is non Angelica dahurica-treated group and treated group is Angelica dahurica-treated group. Results: In acetic acid-induced visceral model, treatment with Angelica dahurica suppressed writhing reflex significantlyand dose-dependently. In carrageenan-induced paw edema model, treatment with Angelica dahurica suppressed carrageenan-induced paw edema. In plantar test model, no significant effect on the withdrawal latency of thermal stimulation-induced nociception was observed. Conclusion: Angelica dahurica has analgesic and anti-inflammatory efficacy.

• 한국대기환경학회지
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• 제19권5호
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• pp.561-568
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• 2003

Surface ozone concentrations are highly sensitive to meteorological variability. Therefore, in order to reveal the long-term changes in ozone due to the changes in precursor emissions, we need to remove the effects of meteorological fluctuations on the annual distribution of surface ozone. In this paper, the meteorologically adjusted trends of daily maximum surface ozone concentrations in two major Korean cities (Seoul and Busan) are investigated based on ozone data from 11 (Seoul) and 6 (Busan) sites over the period 1992 ∼ 2000. The original time series consisting of the logarithm of daily maximum ozone concentrations are splitted into long-term, seasonal and short-term component using Kolmogorov-Zurbenko (KZ) filter. Meteorological effects are removed from filtered ozone series using multiple linear regression based on meteorologcial variables. The long-term evolution of ozone forming capability due to changes in precursor emission can be obtained applying the KZ filter to the residuals of the regression. The results indicated that meteorologically adjusted long-term daily maximum ozone concentrations had a significant upward trend (Seoul: ＋ 3.02% yr$^{-1}$ , Busan: ＋ 3.45% yr$^{-1}$ ). These changes of meteorologically adjusted ozone concentrations represent the effects of changing background ozone concentrations as well as the more localized changes in emissions.

• 한국멀티미디어학회논문지
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• 제20권12호
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• pp.1890-1900
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• 2017

Tangram game consists of seven pieces of polygons such as triangle, square, and parallelogram. Typical methods of image processing for object recognition may suffer from the existence of side thickness and shadow of the puzzle pieces that are dependent on the pose of 3D-shaped puzzle pieces and the direction of light sources. In this paper, we propose an image processing method that recognizes simple convex polygon-shaped objects irrespective of thickness and pose of puzzle objects. Our key algorithm to remove the thick side of piece of puzzle objects is based on morphological operations followed by logical operations with edge image and background image. By using the proposed object recognition method, we are able to implement a stable tangram game applications designed for tablet computers with front camera. As the experimental results, recognition rate is about 86 percent and recognition time is about 1ms on average. It shows the proposed algorithm is fast and accurate to recognize tangram blocks.

• Asian Journal of Atmospheric Environment
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• 제4권2호
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• pp.63-71
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• 2010

The removal characteristics for aromatic and aliphatic VOCs by electron beam (EB) were discussed in terms of several removal variables such as initial VOC concentration, absorbed dose, background gas, moisture content, reactor material and inlet temperature. It was reviewed that only reactor material was an independent variable among the potential control factors concerned. It was also suggested that main mechanism by EB should be radical reaction for the VOC removal rather than that by primary electrons. It was discussed that the removal efficiency of benzene was lower than that of hexane due to a closed benzene ring. In the case of aromatic VOCs, it was observed that the decomposition of the VOCs with more functional groups attached on the benzene ring was much easier than those with less ones. As for aliphatic VOCs, it was also implied that the longer carbon chain was, the higher the removal efficiency became. An EB-catalyst hybrid system was discussed as an alternative way to remove VOCs more effectively than EB-only system due to much less by-products. This hybrid included supporting materials such as cordierite, Y-zeolite, and $\gamma$-alumina.