• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.12
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• pp.1604-1611
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• 2020

Light field image captured by a microlens array-based camera has many limitations in practical use due to its low spatial resolution and angular resolution. High spatial resolution images can be easily acquired with a single image super-resolution technique that has been studied a lot recently. But there is a problem in that high angular resolution images are distorted in the process of using disparity information inherent among images, and thus it is difficult to obtain a high-quality angular resolution image. In this paper, we propose light field angular super-resolution that extracts an initial feature map using an dilated convolutional neural network in order to effectively extract the view difference information inherent among images and generates target image using a residual neural network. The proposed network showed superior performance in PSNR and subjective image quality compared to existing angular super-resolution networks.

• Journal of the Korean Society for Precision Engineering
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• v.15 no.12
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• pp.226-235
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• 1998

This study proposes the analysis and evaluation of method of time series of ultrasonic signal using the chaotic feature extraction for ultrasonic pattern recognition. The features are extracted from time series data for analysis of weld defects quantitatively. For this purpose, analysis objectives in this study are fractal dimension, Lyapunov exponent, and strange attractor on hyperspace. The Lyapunov exponent is a measure of rate in which phase space diverges nearby trajectories. Chaotic trajectories have at least one positive Lyapunov exponent, and the fractal dimension appears as a metric space such as the phase space trajectory of a dynamical system. In experiment, fractal(correlation) dimensions and Lyapunov exponents show the mean value of 4.663, and 0.093 relatively in case of learning, while the mean value of 4.926, and 0.090 in case of testing in slag inclusion(weld defects) are shown. Therefore, the proposed chaotic feature extraction can be enhancement of precision rate for ultrasonic pattern recognition in defecting signals of weld zone, such as slag inclusion.

• Journal of the Korean association of regional geographers
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• v.13 no.5
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• pp.477-494
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• 2007

This paper offers a brief overview of the historical implications of residential segregation in Busan, Korea. It first reviews the history of residence from the early 1900s to the present and the transition of residential boundary of the City of Busan. It then considers the characteristics of residential segregation and the important factors in it. The social class of pre-industrial society led the inequality of residential areas around the Eubchee. The existed Korean residential areas were separated by newly built-up residential areas in the Japanese colonial era. After the liberation from Japanese Rule and Korean War, rapid population growth made considerable slums across the City of Busan. These slums were an important factor to segregate residential areas from prosperous areas ever afterward. The socio-economic status has related to residential segregation through the formation of differential housing classes since 1990s. The historial analysis of these periods will offer an insight into how the dominant factors lead residential segregation in a specific period by promoting a more socio-economically integrated society.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2015.07a
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• pp.497-498
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• 2015

영상을 취득한 후 다양한 응용프로그램으로 확장이 가능한 4 차원 light field 영상은 일반적인 2 차원 공간 (spatial) 영역과 추가적인 2 차원 각 (angular) 영역으로 구성된다. 그러나 이러한 4 차원 light field 영상을 2 차원 CMOS 센서로 취득하므로 이에 따른 해상도 제약이 존재한다. 본 논문에서는 이러한 4 차원 light field 영상이 가지는 해상도 제약 조건을 해결하기 위하여, 4 차원 light field 영상에 적합한 학습 기반 (learning-based) 초해상도 (superresolution) 알고리즘을 제안한다. 제안하는 알고리즘은 공간영역 해상도 그리고 각영역의 해상도를 각각 2 배 향상시킨다. 실험에 사용되는 영상은 상용 light field 카메라인 Lytro 에서 취득하며, 기존의 선형 보간 기법인 bicubic 기법과의 비교를 통해 제안하는 기법의 우수성을 검증한다.

• Landscaping Tree
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• s.108
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• pp.31-33
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• 2009

화단이나 정원. 공원 등 외부 생활공간의 그늘이나 반 그늘진 곳에 심는 종으로 수호초(秀好草)가 많이 쓰이고 있다. 맥문동과 함께 상록성이면서 키가 크지 않고 심어두면 생장속도가 꽤 빨라 조기에 지면을 덮어주기 때문이다. 특히 우리나라 전역에서 겨울에도 상록으로 월동함으로 사계절 볼거리를 주어 활용범위가 넓은 식물이다. 문헌상 한국에 자생한다고 되어있으나 아직 자생지에서 확인된 경우는 없는 듯 하며 우리나라에 심겨진 것은 대부분 일본에서 들어온 종이 아닌가 싶다. 영명이 Japanese spurge이다. 키가 작아 분화용으로 가능할 것으로 보이지만 반덩굴성으로 옆으로 깔리며 자라기 때문에 나무 밑이나 건물 그늘진 곳의 화단용으로 적합하다. 요즘 점차 수요가 늘고 있는 옥상정원용으로 우수할 것으로 생각된다.

• Science of Emotion and Sensibility
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• v.21 no.2
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• pp.15-28
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• 2018

The purpose of this study was to conduct eye-tracking experiments to target large spaces and to analyze the characteristics of pupil gaze by gender. By analyzing the change of pupil size in the eye-tracking experiment, we suggest a template for objective and scientific analyses of gender observation data. Additionally, based on the difference between gender and time to pupil size change, we noted the characteristic of time that gather the visual perception data information and showed that females attend to interesting elements of visual information one to two seconds slower than males. In the initial "$1sec{\rightarrow}2sec$", the pupil size has been increased in leap condition of male and in fixed condition of female. In addition, if condition limits to fixed observation to view the change rates on gender then the pupil size of female was larger than male before 9 seconds, while male's pupil size was larger after 9 seconds. This indicates that females obtain visual information through a relatively larger pupil size during the first 1-8 seconds after stimulus presentation, while males acquire it between 10-15 seconds after input. However, based on the result that the pupil size of female was larger than male on the change of observation time, the pupil size movement on female was energized to watch more interest element after a certain period of time.

• Proceedings of the Korean Vacuum Society Conference
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• 2008.08a
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• pp.307-307
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• 2008

• The Southeast Asian review
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• v.23 no.1
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• pp.377-384
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• 2013

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2020.10a
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• pp.15-16
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• 2020

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2010.06a
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• pp.69-70
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• 2010

우리나라의 경우 시계열적인 토지 이용의 변화특성에 대한 경향 및 유형의 분석과 예측에 관련한 연구는 그 중요성에도 불구하고 미흡한 실정이다. 따라서 본 연구는 서울시 강남구의 구축한 시계열 데이터를 바탕으로 가로체계와 토지이용 자료를 사용하여 강남구 공간구조의 시계열 공간구조변화의 패턴분석을 목적으로 한다. 또한 토지이용 변화과정을 함께 비교분석한다. 강남구는 70년대 초부터 개발로 인해 많이 변화해온 지역이다. 이를 고려하여 60,70,80,90년의 시계열별 공간구문론을 도입하여 축선도(Axial map)를 통해 정량적 분석을 한다. 향후 도로의 접근성 측면에서의 토지이용변화 예측모델 방법론과 연계가 이루어진다면 공간변화를 효과적으로 추정할 수 있을 것이라 기대한다.