• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.191-191
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• 2015

무분별한 도시화 및 산업화로 인해 불투수면이 증가하고 있다. 불투수면은 빗물이 투과하지 못하는 지면을 의미한다. 이러한 불투수면은 강우 시 지면에 있는 유해물질이 그대로 인근 수계로 유입되게 함으로써 심각한 수질 오염을 야기한다. 이와 관련하여 환경부에서는 불투수율 관리를 위하여 2013년에 전국토를 대상으로 불투수율을 산정한바 있으나, 소축척 수준의 시 또는 유역 단위 통계만을 산출하였고 대축척 수준의 소규모 개인 필지 내 조경지역 등을 반영한 불투수율 통계는 현재까지 부재하다. 따라서 본 연구에서는 인천시 부평구를 대상으로 소규모 필지까지 적용 가능한 고해상도 투수/불투수도를 제작 및 활용하여 용도지역별 불투수율 현황을 분석하였다. 불투수면의 공간적 분포 확인을 위해 토지피복지도, 수치지형도, 항공사진(25cm급) 등을 활용하여 고해상도 투수/불투수도를 제작하였다. 투수/불투수도는 세분류 토지피복지도 제작 지침인 선형 요소의 경우 폭 3m, 면형 요소의 경우 면적 $10m{\times}10m(100m^2)$를 참조하여 제작되어 개별 필지단위의 불투수면까지 확인 가능하다. 이후 용도지역도를 수집하여 GIS 환경에서 투수/불투수도와 중첩하여 용도지역별 불투수율을 산출하였다. 불투수율을 산정한 결과 부평구 전체 불투수율은 64%로 확인되었다. 또한 용도지역도 중분류상 주거지역의 경우 불투수율이 82.1%, 상업지역의 경우 91.7%, 공업지역의 경우 94.1%, 녹지지역의 경우 30%로 확인되었다. 상업지역 및 공업지역의 경우 불투수율이 90%이상으로 불투수면 관리가 시급하다고 판단되었다. 본 연구 결과는 기존 환경부에서 제작한 투수/불투수도 보다 정확한 불투수면의 공간적 분포 확인 및 불투수 면적 산출이 가능하여 불투수면 우선관리지역 선정을 위한 기초자료로 활용 가능할 것으로 판단된다. 향후 연구에서는 본 연구 결과를 바탕으로 불투수율이 높은 지역을 우선 선별하여 저영향개발(LID, Low Impact Development) 및 그린빗물인프라(GSI, Green Stormwater Infrastructure)의 활용 방안에 관한 연구가 이루어져야한다. 특히, 불투수율이 높은 상업지역 및 공업지역에 대해서는 연구 결과의 적극적인 활용을 통한 개선이 요구된다.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.2
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• pp.323-330
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• 2019

Recently, as the growth of the Internet has led to a rapid increase in the consumption of multimedia such as photographs and moving images, the importance of metadata has been emphasized. In the case of existing metadata, only limited information such as GPS value or focal length according to the format is stored. However, with the development of mobile devices and multimedia acquisition devices, various sensors can be used in the devices. Therefore, this paper describes a method that can store not only the existing metadata format information at the time of multimedia acquisition but also another existing format of metadata such as information of various sensors which is the gyroscope and acceleration sensor of the device. We propose an application program that provides moving location information. The proposed method is expected to provide various applications such as image matching and effective image classification.

• Korean Journal of Plant Resources
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• v.32 no.5
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• pp.559-564
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• 2019

Cyrtomium yamamotoi Tagawa is an unrecorded species of perennial Pteridophyta that belongs to the genus Cyrtomium of Dryopteriaceae. It is known as native to Taiwan, China and Japan, but we found it in Jeju-si, Jeju-do and Haenam-gun, Jeollanam-do, Republic of Korea in 2018. This species is very similar to C. fortunei J.Sm. having characters such as 1 pinnate compound leaves, globular indusium, but distinguished from the latter by its lanceolate or lanceolate-ovate shaped lateral pinnates of less than 12 pairs, bicolor indusium with dark brown or blackish in center, and margin incised teeth. Here, we provide its description, photographs and a key of related taxa in Korea.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.3
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• pp.333-340
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• 2022

The COVID-19 has made everyone anxious and people need to keep their distance. It is necessary to conduct collective assessment and screening of college students' mental health in the opening season of every year. This study uses and trains a multi-layer perceptron neural network model for deep learning to identify facial emotions. After the training, real pictures and videos were input for face detection. After detecting the positions of faces in the samples, emotions were classified, and the predicted emotional results of the samples were sent back and displayed on the pictures. The results show that the accuracy is 93.2% in the test set and 95.57% in practice. The recognition rate of Anger is 95%, Disgust is 97%, Happiness is 96%, Fear is 96%, Sadness is 97%, Surprise is 95%, Neutral is 93%, such efficient emotion recognition can provide objective data support for capturing negative. Deep learning emotion recognition system can cooperate with traditional psychological activities to provide more dimensions of psychological indicators for health.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.647-654
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• 2023

Deep Learning is a useful method for classifying and recognizing complex data such as images and text, and the accuracy of the deep learning method is the basis for making artificial intelligence-based services on the Internet useful. However, the vast amount of user da vita used for training in deep learning has led to privacy violation problems, and it is worried that companies that have collected personal and sensitive data of users, such as photographs and voices, own the data indefinitely. Users cannot delete their data and cannot limit the purpose of use. For example, data owners such as medical institutions that want to apply deep learning technology to patients' medical records cannot share patient data because of privacy and confidentiality issues, making it difficult to benefit from deep learning technology. In this paper, we have designed a privacy preservation technique-applied deep learning technique that allows multiple workers to use a neural network model jointly, without sharing input datasets, in multi-party system. We proposed a method that can selectively share small subsets using an optimization algorithm based on modified stochastic gradient descent, confirming that it could facilitate training with increased learning accuracy while protecting private information.

• Journal of the Korean Society of Radiology
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• v.82 no.3
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• pp.721-728
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• 2021

Biliary adenofibromas are rare biliary epithelial tumors that are classified as benign. Nevertheless, some cases have been reported to show malignant transformations. The radiologic findings of biliary adenofibromas and their malignant transformation are not well-established because of their rarity. We present a case of a cholangiocarcinoma arising from a biliary adenofibroma assessed using ultrasonography, CT, and MRI. The differential diagnoses include other hepatic tumors.

• Korean Journal of Remote Sensing
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• v.28 no.5
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• pp.587-596
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• 2012

Verifying about eligibility of targeted site is necessary for execute Afforestation and Reforestation Clean Development Mechanism (A/R CDM) project which is followed by system of Kyoto protocol. The site have to be identified by which could not be in conformity with definition of forest. This study tried to propose a technology of classify for site selection of A/R CDM. We chose several parts of Yangpyeng as study area and applied LiDAR data and remotely sensed imagery for considering about tree height, degree of crown closure, and land area which 3 factors for identify forest. LiDAR data was used for offset the shortage of remotely sensed imagery that cannot perfectly determine the forest definition due to absence of 3-dimentional information, but can be obtained from LiDAR. Considering tree height, degree of crown closure, and land area simultaneously by moving window, classified fields to forest and non forest based on pixel size. As a result, 124.06 ha for suitable to doing plantation and approximately 357.02 ha are in negative. Technology that applied for analyzing will provide fundamental methodology not only site selection for A/R CDM, but will be utilized in other Kyoto protocol.

• Journal of the Korean Arthroscopy Society
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• v.10 no.1
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• pp.45-52
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• 2006

Purpose: We evaluated the results of operative treatment of tibial plateau fractures using both arthroscopy and fluoroscopy. Materials and Methods: From May 1999 to February 2003, tibial plateau fractures were treated with arthroscopy. Tweenty seven patients are followed up over two years and the average follow-up period was fourty one months. We classified the fractures according to the Schatzker classification. We reduced the fracture over 2mm depression and displacement on articular surface in simple radiologic finding. Firstly, we treated the associated injuries and reduced the fractures using Steinmann pins. Then, we accomplished internal fixation or external fixation. Both the postoperative clinical and radiological results were evaluated by Rasmussen system. Results: In all tweenty seven cases, the fractures were healed completely in average fourty one months. According to Rasmussen classification, we obtained the excellent or good results in 23 cases. An average range of motion was between 2.5 degrees and 130 degrees. However, postoperative infection developed in one case and the other had loss of reduction. Conclusions: We consider that arthroscopically assisted operative treatment of tibial plateau fracture is a useful method. We can reduce joint surface correctly and treat associated injuries with arthroscopy. There are less complications.

• Journal of the Korean earth science society
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• v.41 no.2
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• pp.137-146
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• 2020

A great number of geological research data have been produced by individually conducted researchers and then personally stored in domestic universities and research institutes. However, it is difficult to share data with other researchers owing to low and limited accessibility. The purpose of this study is to systematically establish metadata for inaccessible data, to manage them collectively and to provide opportunities for utilizing the data to those who require efficient research methods. Approximately 1,000 geological specimens (900 rocks and fossils, 100 thin sections) were gathered, along with their metadata such as high-resolution photographs, classification, name, owner, address, and geographical coordinates of the sample site, to establish their features. Additionally, 3D modeling data for 100 rocks and fossils were generated. On the basis of this study, it is possible for researchers to access and share crucial geological data that have a high potential to be lost and have been neglected in restricted spaces; by avoiding the wasted time, energy, and costs caused by repetitive collection of data, researchers may perform effective research and achieve qualified and competitive research results. Moreover, vulnerable and important geological data in the field can be protected from damage caused by indiscriminate, repetitive collection of specimens that have previously been secured. Through the establishment of additional metadata concerning the diversity of rocks, fossils, and thin sections kept at other universities and research institutes, much more data can be recognized, leading to advanced research results. Furthermore, specialized comparison and analysis of basic mineralogy and petrology knowledge are anticipated, based on the use of the metadata.

• The korean journal of orthodontics
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• v.37 no.4
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• pp.260-271
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• 2007

The purpose of this study was to evaluate the relationships between the occlusal plane angle and craniofacial skeletal pattern in relation to anterior overbite. Methods: Lateral cephalograms of 90 adults with skeletal class III malocclusions were traced and measured to analyze skeletal factors and occlusal plane angles. In terms of anterior overbite, all patients were classified into 3 subgroups of positive overbite, edgebite, and negative overbite groups. All measurements were evaluated statistically by ANOVA and Duncan's Post Hoc, and correlation coefficients were evaluated among measurements. Results: In this study, some skeletal measurements (saddle angle, articular angle, Y axis, AFH, SN-FH, SN-Mn, FH-Mn) showed a significant difference among the 3 groups in relation to overbite changes. Correlation coefficient showed that PFH/AFH, SN-Mn, Mx-Mn, and FH-Mn showed a significant difference with FH-Occ, Mx-Occ, and Mn-Occ. Regression analysis showed that Mx-Mn had a determination coefficient of 0.714, 0.560, and 0.677 in relation to FH-Occ, Mx-Occ, and Mn-Occ, respectively. Conclusion: This study suggests that consideration of the occlusal plane in relation to the maxillomandibular vertical skeletal state enable the establishment of a more predictable orthognathic surgery result.