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김지훈,이대식,이민호,Kim, Jihun,Lee, Daesik,Lee, Minho 대한임베디드공학회 2016 대한임베디드공학회논문지 Vol.11 No.3
Lane detection is a widely researched topic. Although simple road detection is easily achieved by previous methods, lane detection becomes very difficult in several complex cases involving noisy edges. To address this, we use a Convolution neural network (CNN) for image enhancement. CNN is a deep learning method that has been very successfully applied in object detection and recognition. In this paper, we introduce a robust lane detection method based on a CNN combined with random sample consensus (RANSAC) algorithm. Initially, we calculate edges in an image using a hat shaped kernel, then we detect lanes using the CNN combined with the RANSAC. In the training process of the CNN, input data consists of edge images and target data is images that have real white color lanes on an otherwise black background. The CNN structure consists of 8 layers with 3 convolutional layers, 2 subsampling layers and multi-layer perceptron (MLP) of 3 fully-connected layers. Convolutional and subsampling layers are hierarchically arranged to form a deep structure. Our proposed lane detection algorithm successfully eliminates noise lines and was found to perform better than other formal line detection algorithms such as RANSAC
피스톤 경량화에 따른 가솔린 가관에서의 성능 및 배출가스 특성에 관한 연구
김지훈(Jihun Kim),이성욱(Seangwock Lee),조용석(Yongseok Cho),임규철(Kyuchul Lim),유연설(Younsul Yoo) 한국자동차공학회 2010 한국자동차공학회 부문종합 학술대회 Vol.2010 No.5
Heavy air pollution is an increasing concern as well as global warming, which requires strict reduction of GHG(greenhouse gas) emission. CO₂ is a main contribution to global warming, responsible for over 90 percent of total GHG emission. The amount of CO₂ is closely related to fuel consumption rate. So, CO₂ emission can be reduced by improving fuel consumption rate of the vehicle. In this research, commercially manufactured gasoline engine was equipped with light weight piston, torque and power of the engine were tested and compared with reference engine. Also, in order to deprive the results, emission analyzer was used to measure emission level and flowmeter was equipped to calculate the fuel consumption rate characteristic. Thus, this research may provide the fundamental data for making strategies of emission level reduction through piston weight lightening.
김지훈(Jihun Kim),이병준(Byong-jun Lee),송화창(Hwachang Song),김태균(Tae-Kyun Kim),신정훈(Jeong-Hoon Shin),남수철(Su-Chul Nam) 대한전기학회 2009 대한전기학회 학술대회 논문집 Vol.2009 No.7
본 논문은 장기 전압 안정도 분석을 위한 프로그램 개발을 목적으로 한다. 장기 전압 불안정 현상은 전력 계통에 투입되어 있는 무효전력과 관련된 제어기 중에서 그 동작특성이 수 분에서 수십 분에 이르는 제어기에 의해 발생한다. 기존에 장기 전압 안정도 분석에는 상용툴의 Full-time Domain 알고리즘을 이용하였다. 하지만 기존의 Full-time Domain 알고리즘에 의해 장기 전압 안정도 분석을 하게 되면 그 연산 시간이 매우 오래 걸릴 뿐만 아니라, 시적분에 의한 수치 에러로 인하여 정확성을 보장할 수 없다. 본 논문에서는 장기 전압안정도 분석을 하기 위해 준동적 시모의 알고리즘(Quasi-Steady-State Algorithm)을 도입하였다. 준동적 시모의 알고리즘을 적용한 프로그램을 보이고, 이에 따fms 모의를 한구전력계통에 적용하였다.
병렬형 하이브리드 차량의 과도응답 향상을 위한 제어 알고리즘 연구
김지훈(Jihun Kim),김현섭(Hyunsup Kim),박태호(Taeho Park),한규홍(Kyuhong Han),홍정호(Jeongho Hong),이형철(Hyeongcheol Lee) 한국자동차공학회 2009 한국자동차공학회 부문종합 학술대회 Vol.2009 No.4
This paper represents the control strategy for the belt-driven ISG system applied to the double-shaft parallel hybrid electric vehicle (HEV). The powertrain of the target vehicle consists of an internal combustion engine, an integrated starter and generator (ISG) to start the engine, a traction motor, and an engine clutch between the engine and the traction motor. The aim of this paper is to develop the control algorithm improving transient response of the target vehicle. The control algorithm is to decrease the transition duration as well as to decrease the drive torque fluctuation of the engine and the traction motor during the mode transitions involving engagement and disengagement of the engine clutch. This paper proposes the torque estimation of the crankshaft to improve the driving torque fluctuation under the model uncertainties.