• 제목/요약/키워드: SPOT5

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지리공간 웹 서비스 기반의 기준점 자동추출 기법 연구 (Automatic Extraction Method of Control Point Based on Geospatial Web Service)

  • 이영림
    • 대한공간정보학회지
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    • 제22권2호
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    • pp.17-24
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    • 2014
  • 본 논문에서는 지리공간 웹 서비스 기반의 기준점 자동 추출 기법을 제안한다. 제안하는 기법은 3단계로 구성된다. 1) 첫 번째 단계에서는 지리공간 웹 서비스를 통해 대상영상의 촬영지역에 해당하는 기준자료를 자동으로 획득하고, 2) 두 번째 단계에서는 획득된 기준자료와 대상영상에 SURF 알고리즘을 적용하여 후보 기준점을 찾는다. 3) 마지막 단계에서는 RANSAC 알고리즘을 이용하여 추출된 후보 기준점 중 정 정합점을 최종 기준점으로 산출한다. 제안하는 기법은 기준자료를 획득하기 위해 지리공간 웹 서비스를 활용하였다. 이를 통하여 제안하는 기법은 기준영상과 고도자료의 관리 및 획득 시 사용자 편의성을 증대 시켰고, 표준을 따르기 때문에 높은 확장성을 가진다. 본 논문에서는 제안하는 기법을 SPOT-1, SPOT-5, IKONOS 위성영상에 적용하여 실험을 수행하였다. 실험지역에 적용한 결과, 제안하는 기법은 대상영상의 촬영센서, 촬영일자, 해상도 변화에도 RMSE 5화소 미만의 일관된 정확도를 산출하였고, 대상영상의 해상도가 좋아짐에 따라 정확도의 지속적인 향상 가능성을 확인하였다. 또한 기준영상과 고도자료로 군 표준 자료를 사용함으로써 제안하는 기법의 군사적 활용가능성을 확인하였다.

토사유실 원인지역 검토를 위한 SPOT 5 위성영상과 토지피복도의 활용 (Application of SPOT 5 Satellite Image and Landcover Map for the examination of Soil Erosion Source Area)

  • 이근상;박진혁;황의호;고덕구
    • 한국수자원학회논문집
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    • 제38권11호
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    • pp.927-935
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    • 2005
  • 강우에 따른 토사유실은 호소내 저수용량 감소 및 탁수 등의 수질오염을 유발하기 때문에 유역관리 측면에서 중요한 인자가 된다. 최근 GIS를 활용한 토사유실평가 연구가 진행되고 있으나, 토사유실 원인지역에 대한 검토는 고려하지 않고 있다. 본 연구에서는 GIS 기반 토사유실모델을 활용하여 임하호 유역의 토사유실량을 산정하였으며, SPOT 5 고해상도 위성영상과 토지피복도 자료를 활용하여 토사유실원인지역을 검토하였다. 분석결과 토사유실이 높게 나타나는 지역의 대부분이 밭으로 확인되었으며 그 위치를 영상에서 효과적으로 확인할 수 있었다. 또한 위성영상에서 경계를 확인하기 곤란했던 밭과 과수원이 공통으로 나타나는 지역은 현장확인을 통해 그 적정성을 검토할 수 있었다.

이종재 Al5083-O/DP590 마찰교반점용접시 툴의 삽입깊이(Plunge Depth)가 용접성에 미치는 영향 (Effect of Tool Plunge Depth on Weldability of Dissimilar Al5083-O/DP590 Friction Spot Joint)

  • 정수옥;방한서;방희선
    • Journal of Welding and Joining
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    • 제34권3호
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    • pp.17-22
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    • 2016
  • In terms of mechanical and metallurgical characteristics, the effect of tool plunge depths(0.2, 0.5, 0.7, 1.0, 1.5mm) on weldability in dissimilar Al5083-O/DP590 friction spot joint has been clarified. From the results, it is found that the stirred nugget was stably formed at a plunge depth of more than 0.7mm, which is caused by improved stirring action against each other material. With increasing a plunge depth, the thickness of intermetallic compound(IMC) layer in Al5083-O/DP590 joint has a tendency to increase. The tensile shear strength reaches to the maximum failure load of 6.5kN at a plunge depth of 0.7mm due to relatively small decrease in the thickness of Al5083-O sheet and relatively minute thickness of IMC layer, compared with those of other plunge depth conditions.

Integration of GIS-based RUSLE model and SPOT 5 Image to analyze the main source region of soil erosion

  • LEE Geun-Sang;PARK Jin-Hyeog;HWANG Eui-Ho;CHAE Hyo-Sok
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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    • pp.357-360
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    • 2005
  • Soil loss is widely recognized as a threat to farm livelihoods and ecosystem integrity worldwide. Soil loss prediction models can help address long-range land management planning under natural and agricultural conditions. Even though it is hard to find a model that considers all forms of erosion, some models were developed specifically to aid conservation planners in identifying areas where introducing soil conservation measures will have the most impact on reducing soil loss. Revised Universal Soil Loss Equation (RUSLE) computes the average annual erosion expected on hillslopes by multiplying several factors together: rainfall erosivity (R), soil erodibility (K), slope length and steepness (LS), cover management (C), and support practice (P). The value of these factors is determined from field and laboratory experiments. This study calculated soil erosion using GIS-based RUSLE model in Imha basin and examined soil erosion source area using SPOT 5 high-resolution satellite image and land cover map. As a result of analysis, dry field showed high-density soil erosion area and we could easily investigate source area using satellite image. Also we could examine the suitability of soil erosion area applying field survey method in common areas (dry field & orchard area) that are difficult to confirm soil erosion source area using satellite image.

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배양흉근 근모세포의 근원섬유 형성과정 동안의 근단백질의 양상 (Changes in Pectoral Mvoblast Proteins- during Myofibrillogenesis in vitro)

  • 하재청;김한도김병기
    • 한국동물학회지
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    • 제35권3호
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    • pp.322-331
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    • 1992
  • To investigate the svnthyesis of muscle proteins during differentiation of chicken myoblast, cvtosolic and membrane fractions were used for both sodium dodecvl sulfate polvcrylamide gel eBectrophoresis and two-dimensional gel electrophoresis. An extensive cell fusion was observed in 4 day culture. In the protein pattern of the cvtosolic fraction from SDS-PAGE. several protein bands including 250 kDa and 46 kDa showed remarkable changes during culture. the protein of 46 kDa was the most prominent one ann its optical density was the highest in 5 day culture (OD = 1.30). In the membrane fraction, band of 19.8 kDa showed the highest absorbance with 0.93 OD at 12 hr after initial plating and decreased gradually thereafter to 0.23 in 5 nay culture. From the results of two-dimensional gel electrophoresis of cytosolic fraction, the 46 kDa spot was observed as ko separated forms from culture 2 nary culture, and the sixte of this spot was the largest in 5 nay culture. In the pattern of membrane protein, the extensive appearance of newiv synthesized Proteins was found in a naut culture, but no Prominent spot was observed throughout culture. From the results of the present clay, we found that, during myoblast differentiation, the most prominent proteins were bands of 46 kDa and 19.8 kDa in cvtosolic and membrane fraction, respectively, and the appearance of new proteins was initiated at 48 hr after initial plating, and the 46 kDa protein was predominant in the cytoplasm of late culture in which extensive cell fusion was observed.

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Analysis of Diapause-Associated Changes in Silkworm Egg Proteins

  • Go, Hyun-Jeong;Hwang, Jae-Sam;Kim, Young-Tae;Kim, Hyun-Su;Kang, Seok-Woo;Chang, Jong-Su;Lee, Sang-Mong;Lee, Bong-Hee;Seong, Su-Il
    • International Journal of Industrial Entomology and Biomaterials
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    • 제9권1호
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    • pp.117-121
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    • 2004
  • The patterns of diapause-associated proteins of silkworm eggs were analyzed by two-dimensional (2-D) gel electrophoresis. Among the hundreds of spots on the 2-D gels, at least two proteins were considered to be associated with diapause. A protein, spot 4, with an approximate molecular weight of 38 kDa and pI 6.1 was observed in the HCI-treated, cold-treated, and diapause eggs, respectively. Spot 4 was undetectable in unfertilized eggs and non-diapause eggs at two days after oviposition, suggesting that this protein may be associated with the entrance to diapause. A protein, spot 11, with an approximate molecular weight of 21 kDa and pI of 61 was detected in the unfertilized, HCl-treated, and cold-treated eggs, respectively, after oviposition by normal moths. In diapausing eggs, a protein corresponding to spot 11 was observed in 3-, 5-, and 30-day-old eggs, while the protein was not detected one-day-old eggs. The protein corresponding to spot 11 was not detected in unfertilized and non-diapause eggs obtained from subesophabeal ganglion (SG)-extirpated moths either. Spot 11 was also considered to be a diapause specific protein, which occurred at only early embryonic stage under the control of diapause-downregulated gene.

A Homogeneous Immunoassay Method for Detecting Interferon-Gamma in Patients with Latent Tuberculosis Infection

  • Wu, Fei;Wang, Lin;Guo, Qiaomei;Zhao, Mingna;Gu, Hongchen;Xu, Hong;Lou, Jiatao
    • Journal of Microbiology and Biotechnology
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    • 제26권3호
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    • pp.588-595
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    • 2016
  • IFN-γ release assays (IGRAs) have been developed as viable alternative diagnostic tools for detecting latent tuberculosis infection (LTBI). A customized homogeneous sandwich luminescent oxygen channeling immunoassay (LOCI) was used to quantify IFN-γ levels in IGRAs. Samples were collected from healthy volunteers (n = 40) who were T-Spot-negative and T-Spot-positive patients (n = 32) at rest. Then the amount of IFN-γ in the supernatant of IGRAs was measured by LOCI. The results demonstrated a low background, and high sensitivity, specificity, accuracy, and reproducibility, and a short assay time (only 30 min) with LOCI for IFN-γ. The recovery range was 81.63-102.06%, the coefficients of variation were below 5%, and the limit of detection was 19.0 mIU/ml. Excellent agreement between LOCI IFN-γ and the T-SPOT.TB test was obtained (97.2% agreement, κ = 0.94). The LOCI IFN-γ concentrations were significantly higher in T-Spot-positive patients than in the healthy group (p < 0.001). Moreover, as observed for the comparative LOCI IFN-γ assay, IFN-γ concentrations were related to the numbers of T-SPOT.TB spots. We have established an in vitro blood test for LTBI diagnosis, defined as LOCI IFN-γ. A high level of agreement between the LOCI IFN-γ method and T-SPOT.TB assay was observed in clinical studies that showed the LOCI IFN-γ method could determine LTBI. This study shows acceptable performance characteristics of the LOCI IFN-γ assay to diagnose LTBI.

Xanthomonas euvesicatoria Causes Bacterial Spot Disease on Pepper Plant in Korea

  • Kyeon, Min-Seong;Son, Soo-Hyeong;Noh, Young-Hee;Kim, Yong-Eon;Lee, Hyok-In;Cha, Jae-Soon
    • The Plant Pathology Journal
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    • 제32권5호
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    • pp.431-440
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    • 2016
  • In 2004, bacterial spot-causing xanthomonads (BSX) were reclassified into 4 species-Xanthomonas euvesicatoria, X. vesicatoria, X. perforans, and X. gardneri. Bacterial spot disease on pepper plant in Korea is known to be caused by both X. axonopodis pv. vesicatoria and X. vesicatoria. Here, we reidentified the pathogen causing bacterial spots on pepper plant based on the new classification. Accordingly, 72 pathogenic isolates were obtained from the lesions on pepper plants at 42 different locations. All isolates were negative for pectolytic activity. Five isolates were positive for amylolytic activity. All of the Korean pepper isolates had a 32 kDa-protein unique to X. euvesicatoria and had the same band pattern of the rpoB gene as that of X. euvesicatoria and X. perforans as indicated by PCR-restriction fragment length polymorphism analysis. A phylogenetic tree of 16S rDNA sequences showed that all of the Korean pepper plant isolates fit into the same group as did all the reference strains of X. euvesicatoria and X. perforans. A phylogenetic tree of the nucleotide sequences of 3 housekeeping genes-gapA, gyrB, and lepA showed that all of the Korean pepper plant isolates fit into the same group as did all of the references strains of X. euvesicatoria. Based on the phenotypic and genotypic characteristics, we identified the pathogen as X. euvesicatoria. Neither X. vesicatoria, the known pathogen of pepper bacterial spot, nor X. perforans, the known pathogen of tomato plant, was isolated. Thus, we suggest that the pathogen causing bacterial spot disease of pepper plants in Korea is X. euvesicatoria.

접촉쌍성 AB Andromedae의 측광해와 흑점모델 (PHOTOMETRIC SOLUTIONS AND SPOT MODEL OF THE CONTACT BINARY AB ANDROMEDAE)

  • 이재우;김천휘;한원용;진호;오규동
    • Journal of Astronomy and Space Sciences
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    • 제20권2호
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    • pp.123-132
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    • 2003
  • 1995년 11월부터 1999년 12월까지 총 10일간 W형 접촉쌍성 AB And를 소백산천문대의 61cm 망원경과 BVR필터를 사용하여 CCD 측광관측을 수행하였다. 우리의 관측으로부터 AB And의 1995, 1996그리고 1999년에 걸친 년도별 광도곡선을 완성하였고, 8개의 새로운 극심시각을 결정하였다. 새로 얻은 광도곡선은 AB And가 지난 5년 동안 심한 광도변화를 겪어왔음을 보여주고 있다. 기준 광도곡선으로 선정된 1996년의 광도곡선을 Wilson-Devinney쌍성모델의 접촉모드에 적용하여 AB And의 측광해를 구하였다. 이 분석에서 광도변화의 원인을 흑점에 의한 것으로 가정하여 시스템 인자들을 산출한 후, 단지 흑점만을 조정인자로 하여 1995년과 1999년 광도곡선을 분석하였다. 그 결과, 우리는 광도변화가 반성 표면 위에 hot spot과 cool spot가 동시에 존재해서 일어난다고 해석하였다. 반성 표면 위의 hot spot는 이재우(1999)가 제안한 질량교환에 의한 것으로 유추할 수 있다.

딥러닝 알고리즘을 이용한 인쇄된 별색 잉크의 색상 예측 연구 (A Study on A Deep Learning Algorithm to Predict Printed Spot Colors)

  • 전수현;박재상;태현철
    • 산업경영시스템학회지
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    • 제45권2호
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    • pp.48-55
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    • 2022
  • The color image of the brand comes first and is an important visual element that leads consumers to the consumption of the product. To express more effectively what the brand wants to convey through design, the printing market is striving to print accurate colors that match the intention. In 'offset printing' mainly used in printing, colors are often printed in CMYK (Cyan, Magenta, Yellow, Key) colors. However, it is possible to print more accurate colors by making ink of the desired color instead of dotting CMYK colors. The resulting ink is called 'spot color' ink. Spot color ink is manufactured by repeating the process of mixing the existing inks. In this repetition of trial and error, the manufacturing cost of ink increases, resulting in economic loss, and environmental pollution is caused by wasted inks. In this study, a deep learning algorithm to predict printed spot colors was designed to solve this problem. The algorithm uses a single DNN (Deep Neural Network) model to predict printed spot colors based on the information of the paper and the proportions of inks to mix. More than 8,000 spot color ink data were used for learning, and all color was quantified by dividing the visible light wavelength range into 31 sections and the reflectance for each section. The proposed algorithm predicted more than 80% of spot color inks as very similar colors. The average value of the calculated difference between the actual color and the predicted color through 'Delta E' provided by CIE is 5.29. It is known that when Delta E is less than 10, it is difficult to distinguish the difference in printed color with the naked eye. The algorithm of this study has a more accurate prediction ability than previous studies, and it can be added flexibly even when new inks are added. This can be usefully used in real industrial sites, and it will reduce the attempts of the operator by checking the color of ink in a virtual environment. This will reduce the manufacturing cost of spot color inks and lead to improved working conditions for workers. In addition, it is expected to contribute to solving the environmental pollution problem by reducing unnecessarily wasted ink.