• Title/Summary/Keyword: 안개등

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Thermal Flow Analysis for Development of LED Fog Lamp for Vehicle (차량 LED 안개등 개발을 위한 열유동 해석)

  • Lee, Suk Young
    • Journal of Energy Engineering
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    • v.28 no.4
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    • pp.35-41
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    • 2019
  • In order to overcome these disadvantages, the halogen light source, which was previously used as a vehicle fog light, has increased power consumption and a short lifetime, and thus, an automobile light source is gradually being replaced with an LED. However, when the vehicle LED fog light is turned on, there is a disadvantage in reducing the life of the fog lamp due to the high heat generated from the LED. The heat generated by the LED inside the fog lamp is mainly emitted by the heatsink, but most of the remaining heat is released to the outside through convection. When cooling efficiency decreases due to convection, thermal energy generates heat to lenses, reflectors, and bezels, which are the main parts of lamps, or generates high temperatures in LED, thereby shortening the life of LED fog lights. In this study, we tried to improve the heat dissipation performance by convection in addition to the heat dissipation method by heat sink, and to determine the installation location of vents that can discharge the internal air or intake the external air of LED fog lamp for vehicle. Thermal fluid analysis was performed to ensure that the optimal data were reflected in the design. The average velocity of air increased in the order of Case3 and Case2 compared to Case1, which is the existing prototype, and the increase rate of Case3 was relatively higher than that of other cases. This is because the vents installed above and below the fog lamps induce the convective phenomena generated according to the temperature difference, and the heat is efficiently discharged with the increase of the air speed.

The Impacts of the Chungju Lake on the Fog Chracteristics of Its Surrounding Area (충주호가 주변지역의 안개 특성에 미친 영향 -충주와 제천을 중심으로-)

  • 이승호
    • Journal of the Korean Geographical Society
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    • v.33 no.2
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    • pp.165-177
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    • 1998
  • 본 연구에서는 충주호가 그 주변지역의 안개 특성 변화에 미친 영향을 파악하고자 하였다. 충주호 하류에 위치하는 충주와 상류의 제천지역을 사례로 안개일수, 안개 발생.소산시각, 안개 발생 전일의 바람과 일교차 및 기압배치, 상층의 바람 등을 분석하였다. 충주댐 건설 후 두 지역의 안개일수가 크게 증가하였는데, 제천에서는 상대습도와 수증기압이 증가하였으나 충주의 경우는 감소하였다. 또한 충주지역에서는 안개 발생시각이 빨라졌는데, 북서풍계 바람이 불 경우 더욱 뚜렷하며 안개의 빈도도 증가하였다. 안개 소산시각은 충주에서는 빨라졌으나 제천에서는 늦어졌다. 일교차는 충주에서는 감소하였고, 제천지역에서는 증가하였다. 제천의 안개 증가가 충주호에서 공급되는 수증기에 의한 것인데 반하여, 충주의 그것은 방류수의 수온과 기온 차이에 의한 것이다. 이에 따라 충주에서는 동절기에는 증발현상에 의한 안개가, 하절기에는 수면에서의 기온역전에 의한 안개가 크게 늘었다.

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Analysis of Hazardous Fog and Index Development in Korea (도로상 위험안개의 특징분석 및 발생지표의 개발)

  • 조혜진
    • Journal of the Korean Geographical Society
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    • v.38 no.4
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    • pp.478-489
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    • 2003
  • The existing researches related to the fog have focused on mainly the fog itself and its spatial variation. This study defined the hazardous fog as the fog with visibility under 500 m which caused the severe dangerous situation on roads and might cause traffic accident due to insufficient visibility. This study aimed to develop the hazardous fog index which quantified the degree of danger and included frequency of fog, visibility and its duration. We applied the index to 3 years weather station data in Korea and the results showed the distribution of the hazardous fog and their priority in terms of safety management. This was the first study that introduced the fog index in Korea and that quantified the degree of hazardous fog. These application results were useful for identifying the dangerous area due to hazardous fog and contributing to ensure the safety of eventual road users and road authorities.

A study on development of fog dissipating system using dry air (건조공기를 이용한 안개 소산 시스템 개발에 대한 연구)

  • Lee, Yong-Ku;Choi, Jun-Seong
    • Proceedings of the KAIS Fall Conference
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    • 2011.05a
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    • pp.276-279
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    • 2011
  • 본 논문에서는 고속도로 대형 추돌사고의 원인이 되는 안개로 인한 시정거리 악화를 개선하기 위한 방법으로 염화칼슘 연소탄, 초미립자 살포기, 강풍기, 건조공기 등을 이용한 안개소산 시스템에 대한 연구를 수행하였다. 국내 환경에 적합한 안개소산 시스템을 개발하기 위해 다양한 안개소산 방법에 대한 현장 성능실험을 통해 검증하였고 강풍기와 열풍기를 결합하여 생성한 건조공기를 통해 공기중의 상대습도를 떨어뜨려 안개를 소산하는 방식이 시정거리 개선효과가 우수하였으며 이를 통해 고속도로 및 터널의 출입구 등 안개 발생으로 운전자의 시정거리가 낮아져 발생하는 사고를 미연에 방지할 수 있을 것으로 기대된다.

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No-Reference Visibility Prediction Model of Foggy Images Using Perceptual Fog-Aware Statistical Features (시지각적 통계 특성을 활용한 안개 영상의 가시성 예측 모델)

  • Choi, Lark Kwon;You, Jaehee;Bovik, Alan C.
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.4
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    • pp.131-143
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    • 2014
  • We propose a no-reference perceptual fog density and visibility prediction model in a single foggy scene based on natural scene statistics (NSS) and perceptual "fog aware" statistical features. Unlike previous studies, the proposed model predicts fog density without multiple foggy images, without salient objects in a scene including lane markings or traffic signs, without supplementary geographical information using an onboard camera, and without training on human-rated judgments. The proposed fog density and visibility predictor makes use of only measurable deviations from statistical regularities observed in natural foggy and fog-free images. Perceptual "fog aware" statistical features are derived from a corpus of natural foggy and fog-free images by using a spatial NSS model and observed fog characteristics including low contrast, faint color, and shifted luminance. The proposed model not only predicts perceptual fog density for the entire image but also provides local fog density for each patch size. To evaluate the performance of the proposed model against human judgments regarding fog visibility, we executed a human subjective study using a variety of 100 foggy images. Results show that the predicted fog density of the model correlates well with human judgments. The proposed model is a new fog density assessment work based on human visual perceptions. We hope that the proposed model will provide fertile ground for future research not only to enhance the visibility of foggy scenes but also to accurately evaluate the performance of defog algorithms.

Real-time Dehazing Algorithm using Haze Modeling Expression (안개 모델링 식을 이용한 실시간 안개제거 알고리즘)

  • Lee, Jae-Won;Hong, Sung-Hoon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.05a
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    • pp.350-352
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    • 2013
  • 야외에서 촬영된 영상은 안개나 연무 등에 의한 화질 저하가 나타난다. 이를 해결하기 위하여 안개제거를 위한 여러 장의 영상, 추가정보를 이용하는 안개제거 방법과 한 장의 영상을 이용한 안개제거 방법들이 제안되어왔다. 본 논문에서는 한 장의 영상에서 안개나 연기를 제거하여 가시성이 향상된 영상을 제공하는 방법을 제안한다. 이를 위하여 본 논문에서는 안개영상 모델에 대한 2차원 방정식 풀이를 통해 원 영상에 안개가 어느 정도의 비율로 섞여있는지를 나타내는 전달률(transmission rate)을 계산하고, 계산된 전달률을 이용하여 안개가 제거된 영상을 구한다. 제안된 방식은 기존 방법들과 달리 필터를 사용하지 않고 화소단위의 연산만을 사용하므로 후광효과가 발생하지 않고, 연산량이 매우 적어 실시간 처리가 가능하다.

A real-time image-based sea fog observation system based on local lighthouse (항로표지 거점을 활용한 실시간 영상기반 해양안개 관측시스템 구축)

  • Mookun Kim;In-kwon Jang;Hyeong-ui Lee
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2023.11a
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    • pp.23-26
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    • 2023
  • In the past, in observing the sea fog on the major sea route and providing real-time information for the safe operation of ships, a visibility sensor or a fog detector with similar operating principles was installed to observe local fog near the place where it was installed. However, it was somewhat unreasonable to immediately provide sea fog observation information to ships and users because the reliability of real-time observation information was somewhat low due to pollution caused by dust, salt, and pollen, or malfunctions of detection sensors by organisms such as spider webs. From 2019 to 2022, the Korea Meteorological Administration and the Ministry of Oceans and Fisheries collaborated to build a more reliable real-time image-based sea fog observation system in 100 regions of the Lighthouse on major sea routes across the country to collect reliable sea fog observation information every 10 minutes and perform real-time public service(webpage).

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Local Dehazing Method using a Haziness Degree Evaluator (흐릿함 농도 평가기를 이용한 국부적 안개 제거 방법)

  • Lee, Seungmin;Kang, Bongsoon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.10
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    • pp.1477-1482
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    • 2022
  • Haze is a local weather phenomenon in which very small droplets float in the atmosphere, and the amount and characteristics of haze may vary depending on the region. In particular, these haze reduce visibility, which can cause air traffic interference and vehicle traffic accidents, and degrade the quality of security CCTVs and so on. Therefore, in the past 10 years, research on haze removal has been actively conducted to reduce damage caused by haze. In this study, local haze removal is performed by weight generation using a haziness degree evaluator to adaptively respond to haze-free, homogeneous haze, and non-homogeneous haze cases. And the proposed method improves the limitations of the existing static haze removal method, which assumes that there is haze in the input image and removes the haze. We also demonstrate the superiority of the proposed method through quantitative and qualitative performance evaluations with benchmark algorithms.

CHEMICAL COMPOSITION OF FOGWATER AT CHUNCHON : 1999 (춘천지역 안개의 화학조성 : 1999년)

  • 홍영민;강미희;정유미;김만구
    • Proceedings of the Korea Air Pollution Research Association Conference
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    • 2000.04a
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    • pp.112-113
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    • 2000
  • 산업이 발달하면서 비(雨)는 곧 산성비호 인식되어졌고, 불과 십수년 만에 산성비는 커다란 환경문제로 부각되었으며 이에 대한 많은 연구가 진행되어 왔다. 하지만 안개에 관한 연구는 안개의 특성상 발생일수 및 발생지역이 제한적이고, 채취가 어려워 국내에서는 연구가 활발하지 못한 실정이다. 이러한 이유로 북한강의 상수원인 의암호.소양호.춘천호에 인접한 춘천은 타 지역에 비해 연중 60 ~ 100일에 이르는 높은 안개 발생일수를 나타내고 있다(김만구 등, 1998).(중략)

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