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임효진,이희용,박주현,정호열,Lim, Hyojin,Lee, Heeyong,Park, Ju H.,Jung, Ho-Youl 대한임베디드공학회 2015 대한임베디드공학회논문지 Vol.10 No.5
Vision based night-time vehicle detection has been an emerging research field in various advanced driver assistance systems(ADAS) and automotive vehicle as well as automatic head-lamp control. In this paper, we propose night-time vehicle detection method based on multi-class support vector machine(SVM) that consists of thresholding, labeling, feature extraction, and multi-class SVM. Vehicle light candidate blobs are extracted by local mean based thresholding following by labeling process. Seven geometric and stochastic features are extracted from each candidate through the feature extraction step. Each candidate blob is classified into vehicle light or not by multi-class SVM. Four different multi-class SVM including one-against-all(OAA), one-against-one(OAO), top-down tree structured and bottom-up tree structured SVM classifiers are implemented and evaluated in terms of vehicle detection performances. Through the simulations tested on road video sequences, we prove that top-down tree structured and bottom-up tree structured SVM have relatively better performances than the others.
임효진,최연규,구엔 칵 쿵,정호열,Lim, Hyojin,Choi, Yeongyu,Nguyen Khac, Cuong,Jung, Ho-Youl 대한임베디드공학회 2016 대한임베디드공학회논문지 Vol.11 No.5
Moving object detection system has been an emerging research field in various advanced driver assistance systems (ADAS) and surveillance system. In this paper, we propose two optical flow based moving object detection methods at dynamic scenes. Both proposed methods consist of three successive steps; pre-processing, foreground segmentation, and post-processing steps. Two proposed methods have the same pre-processing and post-processing steps, but different foreground segmentation step. Pre-processing calculates mainly optical flow map of which each pixel has the amplitude of motion vector. Dense optical flows are estimated by using Farneback technique, and the amplitude of the motion normalized into the range from 0 to 255 is assigned to each pixel of optical flow map. In the foreground segmentation step, moving object and background are classified by using the optical flow map. Here, we proposed two algorithms. One is Gaussian mixture model (GMM) based background subtraction, which is applied on optical map. Another is adaptive thresholding based foreground segmentation, which classifies each pixel into object and background by updating threshold value column by column. Through the simulations, we show that both optical flow based methods can achieve good enough object detection performances in dynamic scenes.
임효진 ( Hyojin Lim ),장형제 ( Hyeongjae Jang ),태성호 ( Sungho Tae ) 한국건축시공학회 2022 한국건축시공학회 학술발표대회 논문집 Vol.22 No.1
In Korea, construction and development has been continued rapidly since the 1970s, and the reconstruction and renovation market has recently been activated to improve old buildings. Most of the environmental evaluation of reconstruction and renovation projects is focused on the use of operating energy, and It is necessary to analyze carbon emissions throughout the life cycle for a comprehensive evaluation of reconstruction and remodeling projects. Therefore, this study quantitatively predicted carbon emissions from reconstruction and renovation based on ISO 14040s through case analysis for the purpose of evaluating the carbon emissions of renovated buildings from the perspective of the whole life cycle. In additional, the amount of carbon savings of each was analyzed through comparison with existing building.
전과정 평가 방법론을 이용한 폴리우레탄폼보드의 탄소배출 계수 구축
임효진(Lim, Hyojin),태성호(Tae, Sungho),채창우(Chae, Chang-U),조강희(Jo, Kanghee),김현숙(Kim, Hyeonsuk) 대한건축학회 2021 대한건축학회 학술발표대회 논문집 Vol.41 No.2
Recently, the necessity for reducing of environmental impact emissions was emerged in the construction industry, and the evaluation method for life cycle assessment to consider quantitative environmental impact from the perspective of the life cycle of the building was attracted attention. Accordingly, the demand for the construction material environmental information database to anlyze the embodied environmental impact of buildings was increased. In particular, the production of insulation materials was continuously increased with the increase of energy-saving houses, and the establishment of the life cycle inventory database for insulation materials with a high contribution to the environment was necessitated. Therefore, the environmental information database of polyurethane foam board was established for the purpose of evaluating the embodied environmental impact of the building, and carbon emission factors were derived based on the constructed data.
확률론적 분석방법을 이용한 공동주택의 개략물량산출 방법에 관한 연구
김현숙(Kim, Hyeonsuk),태성호(Tae, Sungho),임효진(Lim, Hyojin),조강희(Jo, Kanghee),이광수(Lee, Kwangsoo),노승준(Roh, Seungjun) 대한건축학회 2021 대한건축학회 학술발표대회 논문집 Vol.41 No.2
The purpose of the whole process evaluation of a building is to reduce environmental impact emissions by evaluating the environmental impact of the building during its previous life. As part of the carbon emission reduction strategy in the building sector, this study aims to increase the efficiency of building process evaluation by presenting standards for input per unit area of building materials in apartment buildings using probabilistic analysis methods. To this end, this study collected the input quantity per unit area of building materials by sampling 21 multi-family houses that conducted the entire building process evaluation. This was derived and analyzed using Monte Carlo simulations. Through this, efficiency was ensured by simplifying the whole process evaluation method of the building.