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이종원(C.W.Lee),박윤식(Y. S. Park),박관흠(K.H.Park),조영호(Y. H. Cho) 한국자동차공학회 1983 오토저널 Vol.5 No.3
This paper discussed about Application Technique of Numerical Methods for large structure. The dynamic behaviours of a vehicle were investigated through finite element modelling. After dividing a vehicle body into three substructures, Basic Mass System was composed of 60 flexual modes which was obtained from the dynamic characteristics of each substructure using Modal Synthesis Method. Engine, transmission and rear axle, etc. Were added to Basic Mass Model, consequently Full Mass System was constructed by 72 degree of freedoms. Full Mass System was analyzed over the frequency range 0.5-50.0 Hz under the loading conditions which were Stationary Gaussian Random Process.<br/> Results and discussions provided the guidelines to eliminate resonances among the parts and to improve the Ride Quality. The Absorbed Power was used as a standard to determine the Ride Quality. The RMS value of driver's vertical acceleration was obtained 0.423g from the basic model and 0.415g from the modified model.
실시간 미니드론 카메라 영상을 기반으로 한 얼굴 인식 시스템 개발
김성호 중소기업융합학회 2019 융합정보논문지 Vol.9 No.12
In this paper, I propose a system development methodology that accepts images taken by camera attached to drone in real time while controlling mini drone and recognize and confirm the face of certain person. For the development of this system, OpenCV, Python related libraries and the drone SDK are used. To increase face recognition ratio of certain person from real-time drone images, it uses Deep Learning-based facial recognition algorithm and uses the principle of Triples in particular. To check the performance of the system, the results of 30 experiments for face recognition based on the author's face showed a recognition rate of about 95% or higher. It is believed that research results of this paper can be used to quickly find specific person through drone at tourist sites and festival venues. 본 논문에서는 미니 드론을 조종하면서 드론에 부착된 카메라가 촬영하는 영상을 실시간으로 받아들여 특정인의 얼굴을 인식하여 확인시켜주는 시스템 개발 방법론을 제안한다. 본 시스템의 개발을 위해서는 OpenCV, Python 관련 라이브러리 및 드론 SDK 등을 사용한다. 실시간 드론 영상으로부터 특정인의 얼굴 인식 비율을 높이기 위해서는 딥러닝 기반의 얼굴 인식 알고리즘을 사용하며 특히 Triples 원리를 활용한다. 시스템의 성능을 확인하기 위해 저자 얼굴을 기준으로 30회 동안 얼굴 인식 실험을 수행한 결과 약 95% 이상의 인식률을 보여주었다. 본 논문의 연구 결과물은 관광지, 축제 행사장 등에서 특정인을 드론으로 빠르게 찾기 위한 목적으로 사용할 수 있을 것으로 판단된다.