• Journal of Korea Multimedia Society
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• v.12 no.8
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• pp.1073-1081
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• 2009

In this paper, we proposed new method to enhance choroidal vessels by suppressing retina vessels brightness. It is well-known that CNV(choroidal neovascularization) is related with sight loss. The main feature of CNV is the occurrence of new vessels in choroid. Unfortunately, because retina vessels brightness is stronger than choroidal vessels brightness in ICGA(indocynanine green angiography) image, so that the choroidal vessels were hardly recognized. Therefore, for correct diagnosis, the choroidal vessels must be enhanced in ICGA image. The proposed enhancement method consists of 3 strategies. First, the retina vessels were detected by multi scale enhancement technique, hysteresis thresholding, KNN(Kth-nearest neighbor) classification method. And then, a retina vessel mask was generated from detection result. Next, the brightness of retina vessels was suppressed by the proposed conditional region erosion method and mask region until the mask region was vanished. Finally, the brightness of choroidal vessel was enhanced on processed image. Through an experiment, we had confirmed that the proposed method was robust and efficient.

• Korean Journal of Construction Engineering and Management
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• v.20 no.6
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• pp.132-141
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• 2019

1990s, Construction market continued to grow in South Korea exceeding 20% of GDP. In 2015, more than 30 years of old multi-family dwellings amounted to 4.93 million and it continues to increase until 2019. In Particular, the share of Public rental Housing accounts for 90.6% of South Korea's Total aging housing. Before checking the feasibility of Construction Project Management such as Renovation and Reconstruction, Checklists were presented through price impact factor analysis and analysis of housing construction system(Regulation). Based on 32 Price Influencing factors and 20 Indicators based on the housing construction system The Construction project management seems appropriate. As a result, the 22 complexes were found to be suitable for remodeling. This study is meaningful enough to be used for Domestic rental Housing construction and Construction project management and to suggest specificity. Future Research is needed to Quantify the checklist.

• Journal of Sasang Constitutional Medicine
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• v.20 no.3
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• pp.70-81
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• 2008

1. Objective Recently we have known 'First Impression' is the major factor to check the review point for the classification of sasangin. And we want to find out the objected data contribute to dignosis of female sasang constitution using Sasangins Face. 2. Methods We analysed the datum collected by multi-center researchers in 2007-2008. And this study analysed the datum of the measurement of the face by 3D-AFRA (3-Dimensional Automatic Face Recognition Apparatus) and the items of impression by SDQ. We used chi-square test to define the relationship between the item and sasang constitutions. We used independent samples t - test with classifying measuring variables of the face. 3. Results and Conclusion We put out specific female sasangin's constitutional measuring variables of face. The measuring variables of count is Taeyangin 30point, Soyangin 15point, Taeumin 32point, Soeumin 21point. There is the need to accumulate more accurate pictures about sasangin's external shape.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.5
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• pp.203-208
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• 2021

At the manufacturing site, workers have been operating by inputting materials into the manufacturing process and leaving input records according to the work instructions, but product LOT tracking has been not possible due to many omissions. Recently, it is being carried out as a system to automatically input materials using RFID-Tag. In particular, the initial automatic recognition rate was good at 97 percent by automatically generating input information through RACK (TAG) ID and RACK input time analysis, but the automatic recognition rate continues to decrease due to multi-material RACK, TAG loss, and new product input issues. It is expected that it will contribute to increasing speed and yield (normal product ratio) in the overall production process by improving automatic recognition rate and real-time monitoring through the establishment of artificial intelligent smart factory datasets.

• Journal of the Korea Society of Computer and Information
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• v.26 no.12
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• pp.123-132
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• 2021

Malicious activities of Botnets are responsible for huge financial losses to Internet Service Providers, companies, governments and even home users. In this paper, we try to confirm the possibility of detecting botnet traffic by applying the deep learning model Convolutional Neural Network (CNN) using the CTU-13 botnet traffic dataset. In particular, we classify three classes, such as the C&C traffic between bots and C&C servers to detect C&C servers, traffic generated by bots other than C&C communication to detect bots, and normal traffic. Performance metrics were presented by accuracy, precision, recall, and F1 score on classifying both known and unknown botnet traffic. Moreover, we propose a stackable botnet detection system that can load modules for each botnet type considering scalability and operability on the real field.

• Korean Journal of Remote Sensing
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• v.37 no.6_3
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• pp.1923-1929
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• 2021

Earth observation satellites are being used in various field and are being developed in many countries due to their high utility and marketability. Korea is developing various Earth observation satellites according to National Space Development Plan. Among them, the Korea Multi-Purpose Satellite(KOMPSAT) series is the most representative low-orbit satellite. So far, a total of five KOMPSAT have been launched to meet the national image demand and have been used in various fields, including national institutions. This special issue introduces research related to data processing, analysis, and utilization using various image data from the KOMPSAT series. Meanwhile, for the uninterrupted utilization of the subsequent KOMPSAT image data, data processing and utilization research suitable for high-resolution images must be continued, and related research contents will be continuously shared through a special issue.

• KIPS Transactions on Software and Data Engineering
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• v.8 no.1
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• pp.19-26
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• 2019

In this paper, the classification performance of learning algorithms is compared for TAB digit recognition. The TAB digits that are segmented from TAB musical notes contain TAB lines and musical symbols. The labeling method and non-linear filter are designed and applied to extract fret digits only. The shift operation of the 4 directions is applied to generate more data. The selected models are Bayesian classifier, support vector machine, prototype based learning, multi-layer perceptron, and convolutional neural network. The result shows that the mean accuracy of the Bayesian classifier is about 85.0% while that of the others reaches more than 99.0%. In addition, the convolutional neural network outperforms the others in terms of generalization and the step of the data preprocessing.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.30 no.4
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• pp.275-281
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• 2019

A synthetic aperture radar(SAR) satellite is more effective than an optical satellite for target analysis because an SAR satellite can provide two-dimensional electromagnetic scattering distribution of a target during all-weather and day-and-night operations. To conduct target analysis while considering the earth observation interval of an SAR satellite, observing a specific area as wide as possible would be advantageous. However, wider the observation area, worse is the resolution of the associated SAR satellite image. Although conventional methods for improving the resolution of radar images can be employed for addressing this issue, few studies have been conducted for improving the resolution of SAR satellite images and analyzing the performance. Hence, in this study, the applicability of conventional methods to SAR satellite images is investigated. SAR target detection was first applied to Korea Multipurpose Satellite-5(KOMPSAT-5) SAR images provided by Korea Aerospace Research Institute for extracting target responses. Extrapolation, RELAX, and MUSIC algorithms were subsequently applied to the target responses for improving the resolution, and the corresponding performance was thereby analyzed.

• Journal of Korean Foot and Ankle Society
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• v.22 no.3
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• pp.95-99
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• 2018

Purpose: The purpose of this study was to evaluate the radiologic outcomes of distal fibular fractures and to analyze the risk factors associated with nonunion. Materials and Methods: Between January 2009 and March 2016, 13 patients who had final nonunion with ankle fracture were included. In the control group, 370 patients who had undergone bony union and removed metal implants were included. All patients underwent the same surgical procedure and had the same treatment method, ultimately achieving satisfactory open reduction results with less than 2 mm fracture gap. Surgical treatment of fracture was considered to have the same effect on nonunion, and factors that might be associated with nonunion were evaluated. SPSS ver. 13.0 (SPSS Inc., USA) was used for all statistical analyses. Pearson's chi-square test and multi-variate regression analysis were performed to determine the factors affecting nonunion of distal fibular fracture. A p-value less than 0.05 was considered statistically significant, and relative risk was assessed. Results: The mean age of 13 patients was 46.9 years (range, 16~57 years); there were 8 men and 5 women. Among the 13 patients with nonunion, atrophic was the most common (12 cases). The association between the injury mechanism and the Lauge-Hansen classification and diabetes mellitus was not statistically significant. Distal fibular fractures with tibia shaft fracture (p=0.015) and Danis-Weber type C fracture (p=0.023), open fracture (p=0.011), and smoking (p=0.023) were significantly associated with nonunion. Conclusion: In this study, the combined injury of the ipsilateral tibia shaft fracture, open fracture, and Danis-Weber type C fracture may increase the possibility of nonunion. Therefore, caution is advised to prevent nonunion.

• Mycobiology
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• v.47 no.2
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• pp.200-206
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• 2019

Allelic differences in A and B mating-type loci are a prerequisite for the progression of mating in the genus Pleurotus eryngii; thus, the crossing is hampered by this biological barrier in inbreeding. Molecular markers linked to mating types of P. eryngii KNR2312 were investigated with randomly amplified polymorphic DNA to enhance crossing efficiency. An A4-linked sequence was identified and used to find the adjacent genomic region with the entire motif of the A locus from a contig sequenced by PacBio. The sequence-characterized amplified region marker $7-2_{299}$ distinguished A4 mating-type monokaryons from KNR2312 and other strains. A BLAST search of flanked sequences revealed that the A4 locus had a general feature consisting of the putative HD1 and HD2 genes. Both putative HD transcription factors contain a homeodomain sequence and a nuclear localization sequence; however, valid dimerization motifs were found only in the HD1 protein. The ACAAT motif, which was reported to have relevance to sex determination, was found in the intergenic region. The SCAR marker could be applicable in the classification of mating types in the P. eryngii breeding program, and the A4 locus could be the basis for a multi-allele detection marker.