• 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.

• 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.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.4
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• pp.327-343
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• 2020

This study proposes a method to improve the geometric quality of KOMPSAT (Korea Multi-Purpose Satellite)-3/3A Level 1R imagery, particularly for efficient disaster damage analysis. The proposed method applies a novel grid-based SIFT (Scale Invariant Feature Transform) method to the Planetscope ortho-imagery, which solves the inherent limitations in acquiring appropriate optical satellite imagery over disaster areas, and the KOMPSAT-3/3A imagery to extract GCPs (Ground Control Points) required for the RPC (Rational Polynomial Coefficient) bias compensation. In order to validate its effectiveness, the proposed method was applied to the KOMPSAT-3 multispectral image of Gangnueng which includes the April 2019 wildfire, and the KOMPSAT-3A image of Daejeon, which was additionally selected in consideration of the diverse land cover types. The proposed method improved the geometric quality of KOMPSAT-3/3A images by reducing the positioning errors(RMSE: Root Mean Square Error) of the two images from 6.62 pixels to 1.25 pixels for KOMPSAT-3, and from 7.03 pixels to 1.66 pixels for KOMPSAT-3A. Through a visual comparison of the post-disaster KOMPSAT-3 ortho-image of Gangneung and the pre-disaster Planetscope ortho-image, the result showed appropriate geometric quality for wildfire damage analysis. This paper demonstrated the possibility of using Planetscope ortho-images as an alternative to obtain the GCPs for geometric calibration. Furthermore, the proposed method can be applied to various KOMPSAT-3/3A research studies where Planetscope ortho-images can be provided.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.4
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• pp.345-352
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• 2020

To preserve and restore tidal flats and prevent safety accidents, it is necessary to construct tidal flat topographic information including the exact location and shape of tidal creeks. In the tidal flats where the field surveying is difficult to apply, airborne LiDAR surveying can provide accurate terrain data for a wide area. On the other hand, we can economically obtain relatively high-resolution data from UAV (Unmanned Aerial Vehicle) surveying. In this study, we proposed the methodology to generate high-resolution topographic information of tidal flats effectively by integrating airborne LiDAR and UAV point clouds. For the purpose, automatic ICP (Iterative Closest Points) registration between two different datasets was conducted and tidal creeks were extracted by applying CSF (Cloth Simulation Filtering) algorithm. Then, we integrated high-density UAV data for tidal creeks and airborne LiDAR data for flat grounds. DEM (Digital Elevation Model) and tidal flat area and depth were generated from the integrated data to construct high-resolution topographic information for large-scale tidal flat map creation. As a result, UAV data was registered without GCP (Ground Control Point), and integrated data including detailed topographic information of tidal creeks with a relatively small data size was generated.

• Journal of Chest Surgery
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• v.41 no.2
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• pp.268-272
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• 2008

Paravalvular abscess is defined as infective necrosis of the mitral annulus and surrounding tissue that requires debridement of the necrotic tissue and patch reconstruction before valve implantation. Paravalvular abscess is associated with high operative mortality, postoperative complications, and recurrence. We report here a case of a 59-year old woman that had undergone mitral valvular replacement with a mechanical valve 13 years ago. The patient was determined to have paravalvular leakage due to paravalvular abscess as seen during follow-up. The patient underwent repeat mitral valvular replacement with annular reconstruction. However, the patient with mitral annular reconstruction and valvular replacement on the fifteenth postoperative day due to recurrence of paravalvular leakage. The patient is now receiving follow-up eight months after surgery.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.5
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• pp.1838-1844
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• 2010

In distance education, contents are to convey what to learn to learners, and the efficient quality assurance of contents is the very first step to the enhancement of distance education. Most studies of the quality assurance of contents have mostly centered around the development of evaluation tools, and few studies have ever focused on analysis of the quality of contents itself, since it's not easy to do that due to difficulties in the selection of evaluatees or of contents to be analyzed. The purpose of this study was to analyze the quality of 58 distance education contents of on-the-job training and another training for the acquisition of qualifications. As a result, the contents of the learning contents segment ranked first. Among the components of each segment, there was room for improvement in the level of learning and learning elements in the learning contents segment. In terms of instructional design, the quality of interaction components should be taken to another level to boost the quality of contents in this segment. The findings of the study are expected to give some suggestions about which parts of contents should be improved in quality from a perspective of contents developers or suppliers to enhance the overall quality of contents.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.37 no.2
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• pp.109-113
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• 2011

Introduction: To correct the facial asymmetry by mandibular jaw surgery, it is important to know the anatomy of the mandible including the mandibular canal positioning of patients with facial asymmetry. This study was performed to evaluate the differences in the cross-sectional surface in the body of the mandible between the deviated side and opposite side in patients with facial asymmetry. Materials and Methods: The study was conducted on 37 adult patients composed of 2 groups, the asymmetry group (n=20) and non-asymmetry group (n=17). Using the cross-sectional computed tomography (CT) images, the distance from the buccal aspect of the mandibular canal to the outer aspect of the buccal cortex, distance from the buccal aspect of the mandibular canal to the inner aspect of the buccal cortex, distance from the inferior aspect of the mandibular canal to the inferior border of the mandible, thickness of the mandible, and cross-sectional surface area of the mandible were measured in each side of the mandible Results: The cross-sectional area of the mandible including the mandibular canal positioning in the deviated side was not statistically different from the opposite side in the asymmetry group. Only the distance from the inferior aspect of the mandibular canal to the inferior border of the mandible in the ramus area of the deviated side was significantly longer than opposite side. On the other hand, the bucco-lingual width of the asymmetry group was thinner than the non-asymmetry group. Conclusion: The cross-sectional area including the mandibular canal of the mandible did not appear to be modified by the facial asymmetry.