• Proceedings of the KSRS Conference
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• 2000.04a
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• pp.91-95
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• 2000

위성영상을 이용한 해안선의 추출은 연안 지형의 변화감지의 조간대의 DEM 생성 등 지구과학적인 활용 외에도 지형도와 해도의 수정에도 활용될 수 있다. 바람이 세거나 파랑이 높을 때 돌아오는 레이다의 신호는 육지와 구별이 어렵고 또한 speckle 잡음으로 인하여 SAR를 이용한 해안선 추출은 광학자료에서 사용하는 thresholding 방법이나 간단한 edge detector 등의 방법을 적용하여 좋은 결과를 얻는데 어려움이 있다. 본 연구에서는 SAR 자료를 이용하여 빠르고 정확하게 해안선을 추출할 수 있는 ratio에 기초한 해안선 추출 방법인 MSP-PoA(Maximum Stregth Edged Pruning Ratio of Average)을 경남 낙동강 하구지역의 인공해안선에 대해 적용하여 결과를 분석하였다. 그 결과는 매우 만족할 만 하나, 육지와 해수의 점이적인 특성을 나타내는 조간대가 분포하는 전남 곰소만 지역에서는 SAR intensity의 변화가 크지 않아서 만족할 만한 결과를 얻을 수 없었다. 이러한 지역에 대해서는 SAR의 위상정보를 이용하는 interferogram의 정확도를 정량적으로 평가하는데 사용되는 coherence map을 구하여 해안선을 추출하고자 한다.

• 한국지구과학회:학술대회논문집
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• 2005.09a
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• pp.408-413
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• 2005

이 논문에서는 2002년 여름 태풍 루사로 인해 많은 재해 피해를 입은 강원도 강릉시 사천천 주변의 변화 정보를 추출하고자 다중 시기 원격탐사 자료를 이용하였다. 태풍 루사 이전과 이후의 다중 시기 원격탐사 자료를 이용하여 변화 탐지 기법을 적용하여 사천천 주변의 환경 변화 정보를 추출하고 분석하였다. 시계열 자료를 이용함으로써 태풍 루사로 인한 재해 현황 정보뿐만 아니라 그 이후의 복구 과정을 확인할 수 있었으며, 앞으로 재해분야에 시계열 원격탐사 자료의 많은 활용이 기대된다.

• Journal of the Korean Applied Science and Technology
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• v.33 no.2
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• pp.311-323
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• 2016

By studying bioactivity in the aspect of skin care via curcumin, the main component of turmeric, and isoflavones, the soybean extract, this research tried to prove the possibilities as cosmetic ingredients. This research identified the curcumin and soybean extract's anti-inflammatory and toxic effects on skin cells through cell experiment, and using HPLC, the moisture, oiliness, and changes in erythema were measured when the soybean extract was applied to the skin. The result showed that curcumin had the least toxin on RAW 264.7 cell and the anti-inflammatory effect was identified. There were statistically significant changes on the moisture, oiliness and erythema when cosmetics containing curcumin and soybean extract were used. Therefore, it showed the possibilities of the utilization of curcumin and soybean extract to be used as cosmetics for acne skin.

• Journal of KIISE:Software and Applications
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• v.31 no.4
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• pp.420-438
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• 2004

Artificially or naturally contained texts in the natural images have significant and detailed information about the scenes. If we develop a method that can extract and recognize those texts in real-time, the method can be applied to many important applications. In this paper, we suggest a new method that extracts the text areas in the natural images using the low-level image features of color continuity. gray-level variation and color valiance and that verifies the extracted candidate regions by using the high-level text feature such as stroke. And the two level features are combined hierarchically. The color continuity is used since most of the characters in the same text lesion have the same color, and the gray-level variation is used since the text strokes are distinctive in their gray-values to the background. Also, the color variance is used since the text strokes are distinctive in their gray-values to the background, and this value is more sensitive than the gray-level variations. The text level stroke features are extracted using a multi-resolution wavelet transforms on the local image areas and the feature vectors are input to a SVM(Support Vector Machine) classifier for the verification. We have tested the proposed method using various kinds of the natural images and have confirmed that the extraction rates are very high even in complex background images.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.29 no.5
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• pp.487-496
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• 2011

This study is aimed to perform more reliable unsupervised change detection through the re-extraction of the changed pixels which were extracted with global thresholding by applying buffer zone concept. First, three buffer zone was divided on the basis of the thresholding value which was determined using range average and the maximum distance point from a straight line. We re-extracted the changed pixels by performing unsupervised classification for buffer zone II which consists of changed pixels and unchanged pixels. The proposed method was implemented in Hyperion hyperspectral images and evaluated comparing to the existing global thresholding method. The experimental results demonstrated that the proposed method performed more accuracy change detection for vegetation area even if extracted slightly more changed pixels.

• Journal of Yeungnam Medical Science
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• v.8 no.2
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• pp.52-62
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• 1991

The toxic effect of azalea extract, expecially on cardiovascular system, is relatively unclear. The purpose of this study is to study the possible underlying mechanism and effect of toxic ingredient of azalea on cardiovascular system. The 71 healthy rabbits were divided into 10 groups : In group as preliminary study ; 4cc of normal saline was administered intravenously(N) ; 0.7gm/kg and 1.0gm/kg of azalea extract was administered respectively in the same route, volume(A1, A2) ; atropine was administered intravenously(A) ; after pretreatment with atropine(0.04mg/kg) to block parasympathetic system, azalea extract was injected like the above groups(AA1, AA2) ; normal saline, 0.7gm/kg and 1.0gm/kg of azalea extract were administered respectively with 0.2cc(1 : 1000) epinephrine(E0,E1,E2). We measured the following indices at I minute interval during first 10 minutes and then 10 minute interval during next 30 minutes : RR interval, QTc interval, maximal systolic and diastolic pressure drop with occuring time and presence of significant arrhythmia. The results were as follows : 1. The changes of RR interval, QTc interval were significantly increased in groups by Azalea extract. The blood pressure change was significantly decreased in groups by Azalea extract. There were no significant differences according to dosage of Azalea extract. 2. The changes of RR interval, blood pressure were significant differences between administration of atropine and Azalea extract after pretreatment with atropine, but not in the change of QTc interval. 3. There were no significant differences in the change of RR interval, ATc interval, blood pressure drop according to pretreatment with atropine. 4. The interaction between epineprine and Azalea extract was not noted by the effect of epineprine itself. 5. The ST change by 0.7gm/kg, 1.0gm/kg of Azalea extract was revealed in 1 case(14.0%), 7 case(100%), respectively. 6. Most of all cases with arrhthymia, ventricular tachycardia, ventricular fibrillation, were noted in the group by epineprine, except one case by Azalea extract(1.0gm/kg). It was idioventricular rhythm. In conclusion, azalea extract has negative inotropic and chronotropic effect with arrhythmogenic potential possibly through direct myocardial ischemia or injury but we cann't be absolutely exclusive of actions of autonmic nervous system, especially parasympathetic nervous system.

• Journal of the Korean Society of Food Science and Nutrition
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• v.36 no.7
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• pp.908-914
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• 2007

Sasa borealis (bamboo) is a perennial medicinal plant and its leaves are utilized widely in Korea. In this study, effects of bamboo leaves (Sasa borealis) extract on the physical, textural, and sensory characteristics of cooked rice were examined. Four kinds of cooked rice were prepared with 0.0% (control), 0.2%, 0.3% or 0.4% of the extract (w/w). Moisture content of the cooked rice decreased with increasing amounts of extract. Color of the cooked rice was darkened gradually with increasing amounts of extract and appeared yellowish-brown. Among the four textural properties, only hardness increased significantly by the addition of the extract. Sensory evaluation was significantly different in terms of unique rice flavor, bamboo flavor, color, unique rice taste, bamboo taste, viscosity, hardness, adhesiveness, and coarseness among the control group and the group with 0.2%, 0.3%, and 0.4% of the extract; however, overall acceptancy was not significantly different among the four groups. In conclusion, concerning overall sensory evaluation, cooked rice with 0.2% bamboo leaves (Sasa borealis) extract showed the best result.

• Proceedings of the Korea Multimedia Society Conference
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• 2000.11a
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• pp.147-150
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• 2000

본 논문은 무인감시 시스템의 특성상 조명 상태의 변화나 카메라의 흔들림과 같은 환경의 변화에 적응할 수 있도록 연속된 세 프레임간의 차영상를 이용하는 방법을 적용하여 움직임 정보를 추출하고, 영역의 분할 및 특징점 추출을 수행한 후에, 인공 신경회로망 기법을 적용하여 이동표적을 추적한다. 추적시에는 추출된 각각의 표적간의 데이터 연결을 움직임 정보의 특징점들을 이용, 레이블링하여 각각의 표적을 연결시켜 추적의 성능을 높였다.

• Food Engineering Progress
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• v.15 no.3
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• pp.203-208
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• 2011

Effects of particle size and high pressure processing on the extraction rate of oil compounds from soybean powder were evaluated by Soxhlet method using hexane and supercritical fluid extraction (SFE) using $CO_{2}$. SFE was carried out at 4,000 psi and $50^{\circ}C$ for 4 hr. The mean particle sizes were varied from 26.7 to 862.0 ${\mu}m$ by controlling milling time. Saturation solubility increased as the particle size decreased. At large particle size, high pressure processing (HPP) showed higher extraction yield in both hexane extraction and SFE, but, as the particle size decreased, the HPP was irrelevant to the extraction yield in SFE. The higher extraction rate obtained from the smaller particle size. The scanning electronic microscopy of soybean powder treated by HPP showed pores on the surface of the particle. The higher extraction rate and yield from HPP treatment might be due to the less internal resistance of transferring the solvent and miscellar in the solid matrix by collapsing of tissues.

• The Journal of the Acoustical Society of Korea
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• v.9 no.2
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• pp.34-41
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• 1990

The energy parameter is widely used in pre-processing of speech signals, because it represent the phoneme characteristics of well But, the energy parameter is affected by the window length during the extracting. Thus, in this paper, the window length effects are studied in detail, and we proposed a new energy extraction algorithm that reduces the length effects. The energy contours with this algorithm are well representing for the characteristics of speech phonemes. And the computations to implement the algorithm are only required one subtraction, one addition, and two comparison aperation per speech sample.