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이대건(Lee, Dae Geon),이동천(Lee, Dong-Cheon) 한국측량학회 2020 한국측량학회 학술대회자료집 Vol.2020 No.7
Object recognition and classification are important in high-level image processing such as computer vision and machine learning. Detection, recognition, identification, and classification are sequential and progressive learning procedures. However, implementation of human-like learning mechanism using artificial neural network (ANN) with limited training data is challenging task. This paper proposes deep learning for land cover classification using shaded relief maps created from DSM as training data sets. The results show that the derived feature information from original data increases number of training data and improves performance of ANN.
위상 도플러 법을 이용한 직분식 가솔린엔진용 와류형 고압 인젝터의 분무 특성에 관한 연구
류경훈(K.H.Ryu),정지원(J.W.Jung),최동석(D.S.Choi),차건종(K.J.Cha),김덕줄(D.J.Kim),주영철(Y.C.Joo) 한국자동차공학회 1998 한국자동차공학회 춘 추계 학술대회 논문집 Vol.1998 No.5_1
Gasoline direct injection engines have been studied to improve engine efficiency and to reduce emission. Spray characteristics of an injector have an important effect on engine efficiency and emission. Thus the purpose of this study is to provide the fundamental data for injector design which is investigated on the spray characteristics of high pressure swirl injector for GDI engine. In this paper, PDA was utilized for the measurement of mean velocity of droplets. Measurement field was from 10mm below nozzle tip to 100mm in axial direction and 20mm in radial direction. The results are presented by the vector to illustrate the magnitude and direction of velocity at each position. The spray images were also utilized to make the measurement position<br/>