• 방송과미디어
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• 제25권2호
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• pp.17-26
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• 2020

최근 스마트폰에서의 증강현실, 미적 효과의 증대(예, 라이브 포커싱) 등의 어플리케이션을 제공하기 위해 모바일 기기에서의 3차원 공간 복원 기술에 대한 관심이 증가하고 있다. 소비자들의 요구에 발 맞춰 최근 스마트폰 제조사는 모든 플래그십 모델에 다중 카메라 및 뎁스 센서(거리 측정 센서)를 탑재하는 추세이다. 본 고에서는 모바일 폰에 탑재되고 있는 대표적인 세 축의 뎁스 추정(공간 복원) 방식에 대해 간단히 살펴보고, 최근 심층학습(Deep learning)의 등장으로 기술 발전의 새로운 국면에 접어 든 다중 시점 매칭(Multi-view stereo) 방법에 대해 소개하고자 한다. 심층 신경망이 재조명 받은 2012년 전까지 주류 연구 방향이었던 전통 기하학 기반의 방법에 대한 소개를 시작으로 심층 신경망기반의 방법론으로의 발전된 형태를 살펴본다. 또한, 신경망기반의 방법론은 크게 3 세대로 나누어 각 세대별 특징에 대해 자세히 살펴보고, 다양한 데이터에 대한 실험 결과를 통해 세대별 공간 복원 결과를 비교 분석한다.

• 한국품질경영학회:학술대회논문집
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• 한국품질경영학회 2004년도 품질경영모델을 통한 가치 창출
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• pp.291-297
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• 2004

For the while, food wastes have been mainly gathered in a trash place in outskirt of Seoul to bury under the ground. Recently the residents near the area strongly refused to fetch those food wastes to their area because of the terribly bad smell. According to the statistic, the food wastes have around $30\%$ portion of total living wastes, which are more than other countries. Most of the food wastes have been simply buried or incinerated without deep consideration of resource recovery view. Such burying or incineration makes problem to the residents' life condition. So the first is to reduce as much as possible and the rest should be controlled to reuse as resources.

• 교육시설
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• 제11권5호
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• pp.5-13
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• 2004

To develop a master plan of a university campus, we need to know how students view and use their campus. For this purpose, the well-known Linch's(1960) cognitive mapping methods are used to figure out the image of Yonsei University and its surrounding area which is perceived by the students of Yonsei University. Major findings are that the cognition levels for the edge which divides Yonsei University from the surroundings and the paths which the students commute along are relatively high. The students mainly use campus space near the main gate rather than the space deep inside of the university, which shows they use the campus space unevenly. Therefore, when considering a new master plan of Yonsei University, it is needed to develop methods which increase the even use of the campus space such as developing new commuting paths.

• 천문학회보
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• 제37권2호
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• pp.69.1-69.1
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• 2012

We present a comprehensive study of star-forming regions and young star clusters in M33. We use GALEX far-UV and near-UV imaging to detect these young stellar populations tracing recent star formation across the disk of M33. The GALEX imaging, combining deep sensitivity and entire coverage of the galaxy, provides a complete view of the recent star formation in M33 and its variation with environment throughout the galaxy. We discuss variation of various properties (e.g., age, mass, spatial distribution) of star-forming regions and young star clusters in M33 which allow to provide constraints of recent star formation history of this galaxy.

• 소성∙가공
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• 제7권6호
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• pp.575-585
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• 1998

An automated surface-strain measuring system using the image processing technique is developed in the present study which consists of the hardware to capture and to display digital images. and the software to calculate the 3-D informations of grid points from two views. New or improved algorithms for the mapping and establishing correspondence of grid points and elements the camera calibration and the subpixel measurement of grid points are implemented. As an application of the present system the surface-strains of deformed blanks in the limitting dome height test the square cup deep-drawing and punch stretching to obtain the forming limit diagram are measured. The results are com-pared with those obtained by conventional manual methods.

• 대한조선학회논문집
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• 제31권4호
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• pp.8-14
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• 1994

북미의 오대호 연안을 중심으로 한 inland service에서 부터 deep sea service에 까지 발전되어 증가추세에 있는 Self-Unloading bulk carrier와 관련하여, bulk cargo handling 측면에서, 다양한 bulk cargo material을 shore side 하역 설비의 지원없이 신속하게 discharge 할 수 있도록 설계되어 있는 self-unloading system의 특성 및 개요에 대하여, 그간 수차례에 걸쳐 설계 및 건조한 경험을 바탕으로 소개 및 고찰해 보고자 하였다.

• 대한임베디드공학회논문지
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• 제16권5호
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• pp.179-186
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• 2021

For stereo matching based on deep learning, the design of network structure is crucial to the calculation of matching cost, and the time-consuming problem of convolutional neural network in image processing also needs to be solved urgently. In this paper, a method of stereo matching using sparse loss volume in parallax dimension is proposed. A sparse 3D loss volume is constructed by using a wide step length translation of the right view feature map, which reduces the video memory and computing resources required by the 3D convolution module by several times. In order to improve the accuracy of the algorithm, the nonlinear up-sampling of the matching loss in the parallax dimension is carried out by using the method of multi-category output, and the training model is combined with two kinds of loss functions. Compared with the benchmark algorithm, the proposed algorithm not only improves the accuracy but also shortens the running time by about 30%.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.1015-1022
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• 2009

Currently, Korean real estate market has experienced cooling down of the business because of the global economic crisis which resulted from the subprime mortgage lending practice. In response, the Korean government has enforced various policies at the base of deregulating real estate speculation, such as increasing Loan to value ratio (LTV) in order to stimulate housing demand and supply. However, these policies seemed to result in deep confusion in the Korean housing market. Furthermore, analysis for housing market forecasting, especially international financial crisis on Korean real estate market, has been partial and fragmentary, therefore comprehensive solution and systematical approach is required to analyze the real estate and real estate financial market including causal nexus between market determining factors. In an integrated point of view, applying the system dynamics modeling, the paper aims at proposing Korean Real Estate and Mortgage market dynamics models based on fundamental principles of housing market determined by supply and demand. We also find the impact of deregulation policies focusing on mortgage loan which is the main factors of policies.

• International Journal of Advanced Culture Technology
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• 제11권2호
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• pp.284-290
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• 2023

This study was a phenomenological study to examine the meaning and structure of the difficulty of delivery. Participants in this study conducted deep interviews with seven female 20 to 24. The interview data was conducted through the process of analysis and interpretation using the Giorgi method. As a result of study, 12 themes were derived and 4 categories. As a result of the analysis, young women's thoughts on observing delivery consisted of 'fear', 'powerlessness', 'disgust', and 'inevitable fate'. Based on the above meaning, the structure of young women's thoughts on delivery was found to be a point of view that it is regrettable that delivery compensates for all difficulties and pain with the joy of birth. Accordingly, it is proposed to develop and apply a program that can actually alleviate the anxiety, fear, and physical discomfort experienced by women in childbearing age through childbirth.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 추계학술대회
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• pp.416-421
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• 2021

폭설로 인한 도로 미끄러짐과 기온이 0도 이하로 낮아졌을 때, 도로와 차량 통행용 다리, 터널 출입구 쪽에서 주로 발생하는 블랙아이스는 운전자의 시야에서는 아스팔트의 이미지가 투과되어 보이기에 인식되지 않아서 자동차들이 미끄러지는 상황(슬립 현상)이 발생하고, 이로 인하여 대형 교통사고로 이어져 인명 물적 손실이 대량으로 발생하기에 적외선 카메라를 이용하여 도로 상태를 확인하고 딥러닝을 통하여 블랙아이스를 판별하는 방법을 제안하고자 한다.