• KIPS Transactions on Software and Data Engineering
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• v.4 no.10
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• pp.465-472
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• 2015

We propose a novel plane detection in disparity space and evaluate its performance. Our method simplifies and makes scenes in disparity space easily dealt with by approximating various surfaces as planes. Moreover, the approximated planes can be represented in the same size as in the real world, and can be employed for obstacle detection and camera pose estimation. Using a stereo matching technique, our method first creates a disparity image which consists of binocular disparity values at xy-coordinates in the image. Slants of disparity values are estimated by exploiting a line simplification algorithm which allows our method to reflect global changes against x or y axis. According to pairs of x and y slants, we label the disparity image. 4-connected disparities with the same label are grouped, on which least squared model estimates plane parameters. N plane models with the largest group of disparity values which satisfy their plane parameters are chosen. We quantitatively and qualitatively evaluate our plane detection. The result shows 97.9%와 86.6% of quality in our experiment respectively on cones and cylinders. Proposed method excellently extracts planes from Middlebury and KITTI dataset which are typically used for evaluation of stereo matching algorithms.

• Proceedings of the Korean Vacuum Society Conference
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• 2016.02a
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• pp.412-412
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• 2016

염료감응 태양전지(dye-sensitized solar cells, DSSCs)는 식물의 광합성원리와 매우 유사한 작동원리를 갖고 있는 전지이며, 간단한 구조, 저렴한 제조단가, 친환경성 등의 등의 장점으로 인하여 많은 관심을 모으고 있다. 이러한 염료감응 태양전지는 빛을 받아들인 염료분자가 전자-홀 쌍을 생성하며 전자는 반도체 산화물을 통해 이동되고 전해질의 산화환원 과정을 통해 염료 분자가 다시 환원되는 순환메커니즘을 따르고 있다. 일반적으로 염료감응 태양전지는 밴드 갭 에너지가 큰 반도체 산화물을 포함하는 작업전극, 산화환원 반응을 통해 전자를 염료로 보내는 전해질, 환원 촉매역할을 하는 상대전극으로 구성되어 있다. 특히, 상대전극으로는 우수한 촉매특성과 높은 전도성을 갖는 백금이 가장 많이 이용되고 있지만 가격이 비싸고 요오드에 취약하기 때문에 상용화에 큰 장애물이다. 따라서, 백금을 대체하기 위해 저가의 탄소나 고분자에 대한 연구가 활발히 진행되고 있고, 그 중 탄소나노섬유(carbon nanofiber, CNFs)는 높은 표면적과 뛰어난 화학적 안정성으로 촉매효율을 증대시킬 수 있어 촉매물질로서 관심이 높아지고 있다. 본 연구에서는 상대전극에 탄소나노섬유기반 복합체를 합성하였고, 성공적으로 저가격 및 고성능의 염료감응 태양전지를 제작하였다. 이때, 지지체인 탄소나노섬유는 전기방사법을 통해 합성하였으며, 수열합성법을 이용하여 금속산화물을 담지하였다. 이렇게 제작된 탄소나노섬유-Fe2O3 복합체는 scanning electron microscopy, transmission electron microscopy, X-ray diffraction, 그리고 X-ray photoelectron spectroscopy 통해 구조적, 화학적 특성을 평가하였으며 전기화학적 특성 및 광전변환 효율을 분석하기 위해 cyclic voltammetry, electrochemical impedance spectroscopy, 그리고 solar simulator를 사용하였다. 본 학회에서 위와 관련된 더 자세한 사항에 대해 논의할 것이다.

• Journal of the Korean Institute of Landscape Architecture
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• v.40 no.6
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• pp.148-160
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• 2012

The main purpose of this paper is to deliver a climate analysis and evaluation method based on GIS by using airborne LiDAR data and Biotop type map and to provide spatial information of climate analysis and evaluation based on Biotop type Map. At first stage, the area, slope, slope length, surface, wind corridor function and width, and obstacle factors were analyzed to obtain cold/fresh air production and wind corridor evaluation. In addition, climate evaluation was derived from those two results in the second stage. Airborne LiDAR data are useful in wind corridor analysis during the study. Correlation analysis results show that ColdAir_GRD grade was highly correlated with Surface_GRD (-0.967461139) and WindCorridor_ GRD was highly correlated with Function_GRD (-0.883883476) and Obstacle_GRD (-0.834057656). Climate Evaluation GRID was highly correlated with WindCorridor_GRD (0.927554516) than ColdAir_GRD (0.855051646). Visual validations of climate analysis and evaluation results were performed by using aerial ortho-photo image, which shows that the climate evaluation results were well related with in-situ condition. At the end, we applied climate analysis and evaluation by using Biotop map and airborne LiDAR data in Gwangmyung-Shiheung City, candidate for the Bogeumjari Housing District. The results show that the aerial percentile of the 1st Grade is 18.5%, 2nd Grade is 18.2%, 3rd Grade is 30.7%, 4th Grade is 25.2%, and 5th Grade is 7.4%. This study process provided both the spatial analysis and evaluation of climate information and statistics on behalf of each Biotop type.