• 한국지하수토양환경학회:학술대회논문집
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• 한국지하수토양환경학회 2004년도 임시총회 및 추계학술발표회
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• pp.312-316
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• 2004

Single-well tracer tests, especially push pull tracer tests, are more effective to estimate hydraulic parameters and microbial metabolic activities in terms of duration and cost compared to multi-well tracer tests. However, there are some drawbacks in accuracy, complicated data analysis and uniqueness. These shortages are thought to be derived from the applied conditions which affect mass recovery curve and breakthrough curve. Factors such as extraction rate, resting period, hydraulic conductivity and hydraulic gradient are considered as the major factors determining the mass recovery rate and shape of the breakthrough curve. The results of the sensitivity analysis are summarized as follows: 1) the significant change in concentration of breakthrough curve is obtained when the extraction rate increases. This effect would also be much higher if the hydraulic conductivity is lower; 2) the mass recovery rate decreases with the increase of resting time, and the difference of mass recovery rates for different resting times is inversely proportional to the hydraulic conductivity; 3) the sensitivity values decrease with time. The hydraulic conductivity affects not only the early period, but the later period of the breakthrough curves; 4) The influence of the hydraulic gradient on the breakthrough curves is greater at earlier stage than at later stage. The mass recovery rate is inversely proportional to the hydraulic gradient.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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• pp.610-614
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• 2006

In this paper the advanced method of geodesic active contours was developed for the task of building detection from aerial and satellite images. Automatic extraction of man-made structures including buildings, building blocks or roads from remote sensing data is useful for land use mapping, scene understanding, robotic navigation, image retrieval, surveillance, emergency management procedures, cadastral etc. A level set method based on a region-driven segmentation model was implemented with which building boundaries were detected, through this curve propagation technique. The essence of this approach is to optimize the position and the geometric form of the curve by measuring information along that curve, and within the regions that compose the image partition. To this end, one can consider uniform intensities inside objects and the background. Thus, given an initial position of the curve, one can determine global, region-driven functions and provide a statistical description of the inside and outside object area. The calculus of variations and a gradient descent method was used to optimize the variational functional by an iterative steady state process. Experimental results demonstrate the potential of the proposed processing scheme.

• 한국지하수토양환경학회:학술대회논문집
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• 한국지하수토양환경학회 2004년도 임시총회 및 추계학술발표회
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• pp.227-230
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• 2004

Two extraction techniques, Ultrasonic and Microwave extraction method, were tested for the determination of arsenic in contaminated soil SRM (Montana Soil). The extraction mixture was prepared by mixing 1 M ortho-phosphoric acid and 0.1 M ascorbic acid. This extractant was known to preserve arsenic species. The appropriate extraction time was 10 min to 20 min and the recovery rate was about 80%. A coupled system, SPE-HG-ICP-AES, was used for the determination of inorganic arsenic species. The detection limit was around 2 $\mu\textrm{g}$/1 and the linearity of calibration curve was better than $R^2$=0.99.

• 전자공학회논문지C
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• 제34C권9호
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• pp.77-83
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• 1997

Based on the curve segment grouping, an efficient recognition of round objects form partially occuluded round boundaries is proposed. Curve segments are extracted from an image using a criterion based on the intra-segment curvature and local contrast. During the curve segment extraction the boundaries of pratially occluding and occuluded objects are segmented to different curve segments. The extracted segments of constant intra-segment curvature are grouped to different curve segments. The extracted segments of constant intra-segment curvature are grouped nto a round boundary by the proposed grouping algorithm using inter-segment curvature which gives the relatinships among the curve segments of the same round boundary. The 1st and the 2nd order moments are used for the parameter estimation of the best fitted ellipse with round boundary, and then recognition is perfomed based on the estimated parameters. The proposed scheme processes in segment unit and is more efficient in computational complexity and memory requirements those that of the conventional scheme which processed in pixel units. Experimental results show that the proposed technique is very efficient in recognizing the round object sfrom the real images with apples and pumpkins.

• 전력전자학회논문지
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• 제14권5호
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• pp.372-378
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• 2009

태양광 발전시스템의 설치 용량이 증가함에 따라 시스템 효율을 개선하기 위한 연구가 활발히 진행되고 있다. 고성능 시스템의 설계 및 시험을 위해서는 태양전지의 모델링을 바탕으로 태양전지의 물리적 특성에 관해 정확히 이해하는 것이 중요하다. 그러나 태양전지의 모델은 다수의 파라미터가 얽힌 비선형 형태이며, 모델식의 파라미터 값을 얻기 위한 기존의 방식에서는 오차를 동반하는 실제와 다른 가정을 전제로 하므로 결과적으로 추출된 파라미터의 정확도가 저하되게 되는 단점이 있다. 따라서 본 논문에서는 제조사가 표준상태에서 측정하여 공개하는 태양전지의 I-V 커브로부터 다이오드의 이상계수와 역포화 전류를 구하고 이로부터 저항 성분이 없는 이상적인 태양전지의 I-V 커브를 도출한 뒤, 실측된 I-V 커브와 차이를 최소화하는 직·병렬 저항값을 추출하는 새로운 방식을 제안한다. 기존의 방식과 제안된 방식의 모델링을 통하여 얻은 파라미터를 이용해 구현한 I-V 커브와 실측 I-V 커브와의 상관관계를 최소자승법을 통해 계산함으로써 제안된 방법의 유용함을 증명하였다.

• 한국수산과학회지
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• 제18권1호
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• pp.23-28
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• 1985

The extraction rate of lipids from the chopped whole fish was studied with various solvents. Factors which can influence on the extraction rate such as temperature, moisture content, agitation speed and solvent were also examined. In the early stage of extraction, it is considered that the rapid extraction was attributed to cell destruction which occurs in chopping the whole fish and in the later stage, the extraction rate was increased linearly with extraction time. The effect of agitation on the extraction rate had a great influence on the early stage of extraction. In agitation speed of 100, 200, 300 and 500 r.p.m. the slopes of extraction curve were -0.075, -0.075, -0.069 and -0.064, respectively. Extractability between hydrophilic and hydrophobic solvent showed a great difference. It is suggested that extractability difference between acetone and isopropyl alcohol is due to acetone property which can not extract phospholipids in polar lipids. Extractability of lipids was increased with increasing temperature and decreased with increasing moisture content.

• 한국버섯학회지
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• 제12권4호
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• pp.299-303
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• 2014

이번 연구에서는 식용 및 약용버섯 자실체를 가지고 버섯의 주요 기능성 성분인 총 당의 함량을 추출방법을 달리하여 비교분석하였다. 열수추출, 산추출, 알칼리 추출을 통해 총 당 측정법으로 미량의 시료에 적합한 페놀-황산법으로 측정하였다. 표준 곡선은 glucose solution을 사용하여 작성하고 측정한 흡광도를 표준곡선에 적용하여 시료의 농도를 얻었다. 열수추출에서는 동충하초가 658.4(${\mu}g/g$)로 가장 높았고, 산추출과 알칼리 추출에서는 운지버섯이 각각 649.7(${\mu}g/g$)와 679.0(${\mu}g/g$)로 가장 높음을 알 수 있었다. 추출방법별로 열수추출과 마이크로웨이브 추출로 총 당 함량을 정량한 결과 열수 추출에서는 동충하초, ASI 7025가 높았고, 1 hr 마이크로웨이브 추출 및 2 hr 마이크로웨이브 추출에서는 운지버섯, 꽃송이가 높게 나타났다. 이러한 결과를 통해 각기 다른 추출용매와 추출방법에 따라서 추출되는 총 당 함량이 다름을 알 수 있었다.

• 한국정보처리학회논문지
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• 제6권10호
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• pp.2809-2815
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• 1999

Level set, and active contour(snakes) models are extensively used for image segmentation or shape extraction in computer vision. Snakes utilize the energy minimization concepts, and level set is based on the curve evolution in order to extract contours from image data. In general, these two models have their own drawbacks. For instance, snake acts pooly unless it is placed close to the wanted shape boundary, and it has difficult problem when image has multiple objects to be extracted. But, level set method is free of initial curve position problem, and has ability to handle topology of multiple objects. Nevertheless, level set method requires much more calculation time compared to snake model. In this paper, we use good points of two described models and also apply multi resolution algorithm in order to speed up the process without decreasing the performance of the shape extraction.

• 제어로봇시스템학회논문지
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• 제21권3호
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• pp.265-275
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• 2015

This paper describes extraction methods of five different types of geometrical features (line, arc, corner, polynomial curve, NURBS curve) from the obtained raw data by using a two-dimensional laser range finder (LRF). Natural features with their covariance matrices play a key role in the realization of feature-based simultaneous localization and mapping (SLAM), which can be used to represent the environment and correct the pose of mobile robot. The covariance matrices of these geometrical features are derived in detail based on the raw sensor data and the uncertainty of LRF. Several comparison are made and discussed to highlight the advantages and drawbacks of each type of geometrical feature. Finally, the extracted features from raw sensor data obtained by using a LRF in an indoor environment are used to validate the proposed extraction methods.

• 융합신호처리학회논문지
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• 제3권4호
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• pp.17-22
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• 2002

본 논문은 연속적으로 움직이는 심장의 모습을 추적하기 위해 레벨 세트 알고리즘과 양방향 곡선 전개 이론을 적용한 활성 모델을 사용하였다. 대부분의 활성 모델이 영상 그라디언의 에지 갭이 존재하는 영역에서 움직임이 안정적이지 않아 추출에 실패할 확률이 많다. 본 연구에서는 영상 자체의 밝기 값과 안정적 추출을 위한 추가 제약만 이용한 새로운 활성 모델을 제안한다. 제안된 모델은 초기 곡선의 위치 설정에 제약이 없어 특히 연속적 영상의 특정한 대상 영역을 추출하거나 추적하기에 효율적이었다. 또한 에지 정보가 심하게 변화거나 모호한 부분에서도 안정적인 곡선의 움직임과 추출 결과를 보였다.