• Korean Journal of Remote Sensing
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• v.27 no.4
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• pp.435-444
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• 2011

The land cover map derived from spectral features of high resolution optical images has low spectral resolution and heterogeneity in the same land cover class. For this reason, despite the same land cover class, the land cover can be classified into various land cover classes especially in vegetation area. In order to overcome these problems, detailed vegetation classification is applied to optical satellite image and SAR(Synthetic Aperture Radar) integrated data in vegetation area which is the result of pre-classification from optical image. The pre-classification and vegetation classification were performed with MLC(Maximum Likelihood Classification) method. The hierarchical land cover classification was proposed from fusion of detailed vegetation classes and non-vegetation classes of pre-classification. We can verify the facts that the proposed method has higher accuracy than not only general SAR data and GLCM(Gray Level Co-occurrence Matrix) texture integrated methods but also hierarchical GLCM integrated method. Especially the proposed method has high accuracy with respect to both vegetation and non-vegetation classification.

• Proceedings of the KWS Conference
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• 2009.11a
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• pp.82-82
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• 2009

Although leakage at a low carbon steel pipe made by electrical resistance welding(ERW) was reported due to grooving corrosion, the cause for the corrosion has not yet been cleared. So lots of researches were carried out already about grooving corrosion mechanism of ERW carbon steel pipe but there is seldom study for water hammer happened by fluid phenomenon and corrosion rate by flow velocity. In this study, the corrosion test carried out using the ERW carbon steel pipe by changed the water speed and heat input in a month. The level of dissolved oxygen is maintained 5~5.5mg/l(amount of dissolved oxygen in tap water). The water speed for corrosion test is 1m/s, 2m/s, 3m/s. As the results, grooving corrosion rate is increased cause by water speed in the pipe. In the case of the ERW pipe with more heat input, grooving corrosion rate is decreased. It is therefore that welding heat input should be controlled based on the carbon content of the pipe in order to improve the corrosion reistance of the ERW pipe.

• Proceedings of the KWS Conference
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• 2009.11a
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• pp.75-75
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• 2009

연성회로기판은 일반적으로 절연체를 이루는 폴리이미드와 전도체를 이루는 구리로 구성되어 있다. 폴리이미드는 뛰어난 열적 화학적 안정성, 기계적 특성, 공정성 등의 장점으로 인해 연성회로기판의 절연체로서 제안되었지만 전도체를 이루는 구리와의 접합 특성이 우수하지 않기 때문에 많은 연구가 현재까지 진행되고 있고, 그 결과 연성회로기판의 접합 특성에 많은 개선이 이루어짐과 동시에 다양한 공정 방법이 제안되고 있다. 하지만 고온다습한 환경에서 사용될 경우 폴리이미드의 높은 흡습성과, 구리와 seed layer의 산화 문제로 인해 접합 특성이 저하된다는 단점 또한 가지고 있다. 따라서 본 연구를 통해 고온다습한 조건하에서 seed layer가 80Ni/20Cr 합금으로 구성된 연성회로기판의 seed layer의 두께와 시효시간으로 인해 발생하는 접합 신뢰성의 차이를 관찰하였다. 본 연구에서는 두께 $25{\mu}m$의 폴리이미드 위에 각각 100, 200, $300{\AA}$ 두께의 80Ni/20Cr의 합금 조성을 가지는 seed layer를 스퍼터링 공정을 통해 형성한 후 전해도금법을 이용하여 $8{\mu}m$ 두께의 구리 전도층을 형성하였다. 접합 특성 평가를 위해 ICP 규격에 따라 전도층 패턴을 폭 3.2mm, 길이 230mm로 시편을 제작하여 50.8mm/min의 이송 속도로 각 시편당 8회의 $90^{\circ}$ peel test를 실시하였다. 또한 $85^{\circ}C$/85% 항온항습 조건하에서 각각 24, 72, 120, 168시간 동안 시효 처리 후 같은 방법으로 연성회로기판의 접합 특성을 평가하였다. 파면의 형상과 조성을 분석하기 위해 SEM (Scanning electron microscope)과 EDS (Energy-dispersive X-ray spectroscopy)를 사용하였으며, 파면의 조도 측정을 위해 AFM (Atomic force microscope)을 사용하였다. 또한 파면의 잔여물 분석을 위해 EPMA (Energy probe microanalysis)를 사용하였고 계면의 화학적 결합상태를 분석하기 위해 XPS (X-ray photoelectron spectroscopy)를 통해 파면을 분석하였다.

• Applied Chemistry for Engineering
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• v.10 no.3
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• pp.374-381
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• 1999

Poly(vinyl alcohol) (PVA) membranes crosslinked with poly(styrene-maleic anhydride) (PSMAn) were prepared, and the pervaporation characteristics of the membranes were studied for the separation of water/ethanol mixtures. The prepared PVA membranes showed that the permeation rate and separation factors were increased with increasing of PSMAn contents in the feed of 92/8 wt. % ethanol/water composition. However, when the water content in the feed composition was increased highly, the overall permeation rate was increased in the order of 2%>1%>0.5% in spite of the increase of the crosslinking contents, and the separation factor was decreased due to the higher sorbed water contents and the consequent plasticization action of membrane. Also, with respect to operating temperature, the permeation rate of the membranes obeyed the Arrhenius type. Especially, in the case of 2% crosslinked membrane, it was shown based on the pervaporation characteristics that both the permeation rate and separation factor were increased with increasing operating temperature from $30^{\circ}C$( to $50^{\circ}C$. From these results, it can be known that the hydrophilic groups introduced in the membrane by PSMAn highly affected the transport of permeants.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.24 no.5
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• pp.417-424
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• 2006

Despite of many researches related to create 3D digital maps, it is still time-consuming and costly because a large part of 3D digital mapping is conducted manually. To circumvent this limitation, we proposed methodologies to create 3D digital maps with 3D symbols automatically. For this purpose, firstly, the 3D symbol library to represent 3D objects as 3D symbols was constructed. In this library, we stored the attribute and geometry information of 3D objects which define types and shapes of symbols respectively. These information were used to match 3D objects with 3D symbols and extracted from 2D digital maps and LiDAR(Light Detection and Ranging) data. Then, to locate 3D symbols into a base map automatically, we used predefined parameters such as the size, the height, the rotation angle and the center of gravity of 3D objects which are extracted from LiDAR data. Finally, the 3D digital map in urban area was constructed and the results were tested. Through this research, we can identify that the developed algorithms can be used as effective techniques for 3D digital mapping.

• Archives of Plastic Surgery
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• v.35 no.4
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• pp.419-422
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• 2008

Purpose: Absorbable bone fixation materials for operation of facial bone fracture are composed of poly- lactic acid(PLA) & poly-glycolic acid(PGA). These materials are absorbed after facial bone healing period. Therefore, these materials are harmless in human body. But because of it's radioopacity, the number and the location of the materials are not checked in follow-up X-ray examination. We studied absorbable bone fixation materials checked radiological examination. So, we made the absorbable plate composed of PLA, Hydroxyapatite (HA) and Gold(Au). Methods: Plate 1 was consisted of pure PLA. Plate 2 was consisted of PLA(50%) and HA(50%). Plate 3 - 7 were consisted of PLA(50%), and variable composition of HA & Au. The ratio of Au was as following. From the plate 3 to plate 7, the Au ratio was 1%, 5%, 10%, 17%, and 25%, respectively. Total 3 examinations were used-naked eye examination, simple X-ray examination, and Haunsfield unit of plate in CT examination. Results: Naked eye examination found out that the color of plate 1 was most white. As the Au ratio increases, the color of plate was getting close to khaki color. the radioopacity of plate 2 was similar cortical bone of face in simple X-ray. The Haunsfield unit of cortical bone of face was 1000 HU. Haunsfield unit of titanium plate was 2900 HU. Haunsfield unit of plate 1 through plate 7 were -242, 1489, 1776, 3052, 3092, 3095, and 3095, respectively. Conclusion: Radioopacity of plate 2 was similar to cortical bone of face. In CT examination, Hanusfield unit of plate 2 was similar to Hanusfield unit of cortical bone of face. Hanusfield unit of plate 4 - 7 were similar to Hanusfield unit of titanium plate. So to trace bone fixation materials after facial bone surgery, the best ratio of Au is about 1 - 5%. If this study is applied to facial bone surgery, radiologic follow up would be easy after facial bone surgery.

• Korean Journal of Remote Sensing
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• v.35 no.6_1
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• pp.959-971
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• 2019

CNN (Convolutional Neural Network) is one representative deep learning algorithm, which can extract high-level spatial and spectral features, and has been applied for hyperspectral image classification. However, one significant drawback behind the application of CNNs in hyperspectral images is the high dimensionality of the data, which increases the training time and processing complexity. To address this problem, several CNN based hyperspectral image classification studies have exploited PCA (Principal Component Analysis) for dimensionality reduction. One limitation to this is that the spectral information of the original image can be lost through PCA. Although it is clear that the use of PCA affects the accuracy and the CNN training time, the impact of PCA for CNN based hyperspectral image classification has been understudied. The purpose of this study is to analyze the quantitative effect of PCA in CNN for hyperspectral image classification. The hyperspectral images were first transformed through PCA and applied into the CNN model by varying the size of the reduced dimensionality. In addition, 2D-CNN and 3D-CNN frameworks were applied to analyze the sensitivity of the PCA with respect to the convolution kernel in the model. Experimental results were evaluated based on classification accuracy, learning time, variance ratio, and training process. The size of the reduced dimensionality was the most efficient when the explained variance ratio recorded 99.7%~99.8%. Since the 3D kernel had higher classification accuracy in the original-CNN than the PCA-CNN in comparison to the 2D-CNN, the results revealed that the dimensionality reduction was relatively less effective in 3D kernel.

• Korean Journal of Remote Sensing
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• v.31 no.5
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• pp.361-370
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• 2015

Various algorithms such as Chronochrome(CC), Principle Component Analysis(PCA), and spectral unmixing have been studied for hyperspectral change detection. Change detection by spectral unmixing offers useful information on the nature of the change compared to the other change detection methods which provide only the locations of changes in the scene. However, hyperspectral change detection by spectral unmixing is still in an early stage. This research proposed a new approach to extract endmembers, which have identical properties in temporally different images, by Iterative Error Analysis (IEA) and Spectral Angle Mapper(SAM). The change map obtained from the difference of abundance efficiently showed the changed pixels. Simulated images generated from Compact Airborne Spectrographic Imager (CASI) and Hyperion were used for change detection, and the experimental results showed that the proposed method performed better than CC, PCA, and spectral unmixing using N-FINDR. The proposed method has the advantage of automatically extracting endmembers without prior information, and it could be applicable for the real images composed of many materials.

• Journal of Physiology & Pathology in Korean Medicine
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• v.24 no.2
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• pp.310-318
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• 2010

Dioscorea bulbifera is one of the traditional medicinal herb. It commonly used in the treatment of hematemesis, epistaxis, tuberculous cervical lymphadenitis, laryngitis, acute infectious disease in East Asia. In the present study, we have demonstrated the anti-inflammatory effects of Dioscorea bulbifera MeOH extract (DBME) in macrophage cell line. To investigate mechanism of the anti-inflammatory activity, we examined the effects of the lipopolysaccaride (LPS)-induced production of nitric oxide (NO), prostaglandin $E_2$ ($PGE_2$), pro-inflammatory cytokines and expression of inducible NO synthase (iNOS), cyclooxygenase-2 (COX-2), p-inhibitory ${\kappa}B{\alpha}$ (p-$I{\kappa}B{\alpha}$), and nuclear factor-${\kappa}B$ (NF-${\kappa}B$) in a murine macrophage cell line RAW 264.7. The RAW 264.7 cells were cultured in DMEM + serum medium for 24 hrs. After serum starvation for 24 hrs, the cells were treated with DBME 0.03, 0.10, 0.30 mg/$m{\ell}$ for 1 h, followed by stimulation with LPS (1 ${\mu}g/m{\ell}$) for activation of immune response. After treatment, cell viability was measured by MTT assay, and NO production was monitored by measuring the nitrite content in culture medium. The protein band of iNOS, COX-2, p-$I{\kappa}B{\alpha}$, and NF-${\kappa}B$ was determined by immunoblot analysis and levels of cytokine were analyzed by sandwich immunoassays. There were three experimental groups: carrageenan, DBME 0.3, 1.0 g/kg. Rats were administrated either carrageenan (40% PEG) or carrageenan + DBME (0.3, 1.0 g/kg body weight) for 4 days (p.o.). To induce acute paw edema, rats were injected 1% carrageenan (100 ${\mu}{\ell}$/rat, dissolved in sterilized saline). The effect of DBME in the carrageenan-induced rat paw edema. As results, DBME has an inhibitory effect on the production of NO, PGE2, TNF-${\alpha}$, IL-$1{\beta}$ and IL-6 and on the expression of iNOS, COX-2, p-$I{\kappa}B{\alpha}$ and translocation of NF-${\kappa}B$ to nuclear from cytosol. In addition, DBME effectively inhibited the increases of paw edema induced by carrageenan treatment in vivo. These results suggest that DBME can inhibit production of pro-inflammatory mediators and might be a useful source for treatment of acute inflammatory disease.

• The Korean Journal of Nuclear Medicine
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• v.20 no.1
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• pp.59-65
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• 1986

Clinical features of 406 patients with histologically verified thyroid carcinomas were investigated from May, 1978 to April, 1985 at the Seoul National University Hospital with the following results. 1) The incidence of thyroid cancer according to their histological classification was 79.8% of papillary carcinoma, 14.5% of follicular carcinoma, 1.5% of medullary carcinoma, 2.2% of anaplastic carcinoma, 2 cases of squamous carcinoma and 3 cases of lymphoma. 2) The age distribution showed the peak incidence in the fourth decade (25.1%), followed by the fifth and the third decade. 3) The ratio of male to female patients was 1 : 6.1. The ratio is 1 : 5.9 in papillary carcinoma and 1 : 8.8 in follicular carcinoma. 4) The mean age was 40.2 year in papillary carcinoma, 37.4 year in follicular carcinoma. 36.5 year in medullary carcinoma, 60.3 year in anaplastic carcinoma, 62.0 year in squamous carcinoma, 59.7 year in lymphoma. 5) The diameter of the thyroid masses was smaller than 1.5cm in 19.9% of the patients, from 1.5cm to 5cm in 50.5%, from 5cm to 10cm in 25.4% and larger than 10cm in 25.4%. 6) Metastasis to the regional lymph nodes at diagnosis was noted in 44.2% of total patients, and distant metastasis was 5%, and local infiltration was 44.2%. 7) The clinical staging was revealed 42.1% of the patients in stage I, 9.1% in stage II, 35.7% in stage III, 5.2% in stage IV, and 7.9% in undetermined stage.