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Measurement of Oil Thickness Using Snell’s Laser Refraction
Vasantha Kumar C(바산타쿠마르),Gyutae Park(박규태),Geumbi Park(박금비),Jinhwan Koh(고진환) 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.11
Concerns about oil spills are a major cause of marine contamination. If we can quantify the thickness of an oil slick, we will be able to better understand how oil spreads and behaves. Snell"s idea may be used to quantify refracted light beams in oil. A quantitative analysis of oil thickness was created using this method. A laser beam is focused towards the air/oil/water layer to conduct the test. When the refractive index of the medium changes, the beam rays refract. The location of a refracted laser beam ray is computed using Snell"s law, and the position is recorded by a camera module controlled remotely by a microcontroller. The X and Y coordinates of the beam ray location are determined by using Python OpenCV to analyze an image of the recorded beam position. The thickness of the oil is measured and evaluated after collecting the X and Y coordinates. The findings of the analysis were compared to the estimated thicknesses of the oil. The results of the tests show that the proposed method is accurate to within 1% error and can effectively quantify oil slick thicknesses on the water up to 11mm.
LSTM(Long Short Term Memory)을 이용한 RCS (Radar Cross Section)추정
박금비(Geumbi Park),바산타쿠마르(Vasantha Kumar C),박규태(Gyutae Park),고진환(Jinhwan Koh) 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.11
RCS측정은 전자기파의 산란과 반사가 중요한 역할을 하는 통신 시스템, 안테나 시스템 및 항공기 설계에 도움이 되는 요소이다. 그러나 항공기나 선박 등 대형 물체에서 RCS 측정 시간과 경비가 비교적 많이 든다. 따라서 본 논문에서는 앞의 문제를 해결하고, RCS측정 효율을 높이고자 LSTM의 방식을 도입하였다. 컴퓨터 시뮬레이션을 활용하여, 기존의 측정된 데이터로 허용 오차 범위내의 측정되지 않은 RCS 예측 데이터를 보여 주었다.