• Title/Summary/Keyword: 안개등

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a Study on the Hands-on Education and the Out-of-School Education of the Nuclear Energy Using the Cloud Chamber in the Science Museum (과학관에서 안개상자를 활용한 원자력 체험교육 및 학교밖 교육에 관한 연구)

  • Oh, Kyu-Jin;Hong, Daegil
    • Korea Science and Art Forum
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    • v.6
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    • pp.67-78
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    • 2010
  • The purpose of this study was to examine the educational methods and the educational effects using the cloud chamber in order to help young people to understand the nuclear energy and the ionizing radiation. In this study, we surveyed not only the history and the value of the cloud chamber as an hands-on exhibit in the science museum, but the case study on the nuclear hands-on education and the nuclear out-of-school education using the cloud chamber. And we analysed the satisfaction degree of participants in the out-of-school education using the cloud chamber in the science museum.

자동차 전조등용 필라멘트 전구 국내.외 신뢰성 비교 평가

  • Lee, Yeong-Ju;Kim, Jin-Seon
    • Proceedings of the Korean Reliability Society Conference
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    • 2006.05a
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    • pp.371-379
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    • 2006
  • 자동차용 필라멘트 전구는 모든 차량의 전조등, 안개등, 후진등에 사용 되며, 특히 H1, H3, H4 제품은 가장 대중적이고 차량의 적용율이 높은 제품으로 적은 체적에서 높은 광속 효과를 얻을 수 있어 차량용 조명등에 적용되고 있다 본 글에서는 안정성 및 신뢰성이 확보되지 않은 국내 자동차용 전구 및 저가의 중국산 제품에 대해 품질이 우수한 선진제품과의 신뢰성 수명 비교 평가를 통하여 현재 국산제품의 신뢰수준을 확인하고 평가결과를 제조업체에 Feed Back 하여 자동차용 필라멘트 전구의 신뢰성향상에 기여하고자 한다.

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Development of a Mid-/Long-term Prediction Algorithm for Traffic Speed Under Foggy Weather Conditions (안개시 도시고속도로 통행속도 중장기 예측 알고리즘 개발)

  • JEONG, Eunbi;OH, Cheol;KIM, Youngho
    • Journal of Korean Society of Transportation
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    • v.33 no.3
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    • pp.256-267
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    • 2015
  • The intelligent transportation systems allow us to have valuable opportunities for collecting wide-area coverage traffic data. The significant efforts have been made in many countries to provide the reliable traffic conditions information such as travel time. This study analyzes the impacts of the fog weather conditions on the traffic stream. Also, a strategy for predicting the long-term traffic speeds is developed under foggy weather conditions. The results show that the average of speed reductions are 2.92kph and 5.36kph under the slight and heavy fog respectively. The best prediction performance is achieved when the previous 45 pattern cases data is used, and the 14.11% of mean absolute percentage error(MAPE) is obtained. The outcomes of this study support the development of more reliable traffic information for providing advanced traffic information service.

Specificity in Weed Competition and Herbicide Response of Soybean under Foggy Condition (인공안개처리에 따른 콩의 잡초경합 양상 및 제초제반응 특이성)

  • 구자옥;권오도;천상욱;국용인
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.41 no.1
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    • pp.20-27
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    • 1996
  • Greenhouse experiment was carried out to investigate the specifics in growth, weed competition, and herbicide response of soybean(Glycine max) under foggy condition. Plant height and leaf stage of soybean under foggy condition were greatly increased through all growing stage comparing with non-foggy condition. At 100 days after seeding, plant height of soybean also was increased by 14% while number of pods, number of grains per pod were reduced by 16, 24 and 23%, respectively comparing with non-foggy condition. On the other hand, plant height of soybean under foggy condition was reduced with increasing the duration of competition and this tendency was similar to non-foggy condition. Plant height was reduced by above 50-day competition. Number of pods per plant of soybean was reduced regardless of foggy condition. Among the herbicides treated, quizalofop caused slightly crop injury under foggy condition, but the other herbicides did not affect growth of soybean. Number of pods and 100-grain weight of soybean by treatment of herbicides were similar to that of the untreated control but those of soybean under foggy condition were significantly reduced. At 40 days after herbicide application, weeding efficacy (based on shoot fresh weight) of herbicides treated under foggy and non-foggy condition, released exellent data(above than 97%) in all regardless foggy condition.

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전력설비에 대한 염진해 대책

  • 이광우
    • 전기의세계
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    • v.28 no.5
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    • pp.18-23
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    • 1979
  • 우리나라는 삼면이 바다에 연하여 있어서 각종 해풍의 영향으로 바다의 해염입자가 내륙으로 비산되어 해안근지구역의 애자가 오염되고 있다. 또 최근 산업의 대규모화와 중화학공업의 발전으로 공업지역이 점차 확대되고 있어서 이 지역에서 발생하는 매연등으로 애자의 오손상태는 더욱 심확되어 가고 있다. 이러한 오손애자는 평상시의 건조상태에서 별다른 이상은 없으나 비, 이슬, 안개등의 온윤상태에서는 내락사고로 진전되는 경우가 많다. 이와같이 발생되는 사고(염진해 사고)로 인하여 각국의 전력회사는 물론 한국전력에서도 하나의 문제점으로 대두되고 있다. 그래서 효과적인 방지대책을 찾아내기 위하여 계속 연구하고 있다. 여기서는 지금까지 조사연구된 염진해현상과 그 대책에 대하여 기술코저 한다.

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Specificity of Weed Competition and Herbicide Response in Barley under Foggy Condition (인공 안개처리에 따른 보리의 잡초경합양상 및 제초제반응 특이성)

  • 구자옥;이병열;국용인;한성욱
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.40 no.6
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    • pp.738-746
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    • 1995
  • Greenhouse studies were carried out to find the difference of growth, weed competition and herbicides response in barley(Hordeum vulgare L. emend Larnark) under foggy and non-foggy condition. Plant height, leaf stage, leaf width and shoot fresh weight of barley under foggy condition were greatly increased, while heading rate ripening rate and number of grains per panicle of barley were reduced. Weed emergence based on fresh weight was much greater under foggy than that under non-foggy condition. Plant height of barley under foggy condition was increased comparing with non-foggy condition and significantly reduced with increasing the duration of weed competition, while 1,000-grain weight of barley reduced by the early competition(0∼20 days). Among the herbicides treated, butachlor and thiobencarb inhibited growth of barley under foggy than non-foggy condition. Plant height of barley treated of herbicides under foggy condition was ever increased but 1,000-grain weight of barley was reduced. Weeding efficacy(75-90%) by shoot fresh weight of weeds under foggy condition at 25 days after application was lower 3 to 15% than that under non-foggy condition.

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An Analysis of Change in Traffic Characteristics with Fog (안개 발생에 따른 교통 특성 변화 분석)

  • Kim, Soullam;Lim, Sung Han
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.16 no.4
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    • pp.92-106
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    • 2017
  • The adverse weather is known as a factor that interrupts traffic flow and causes traffic accidents and traffic congestion by lowering visibility of drivers. Especially, in case of fog unlike any other weather conditions, traffic accidents lead to serious accidents and the fatality of the accidents is known to be high. This paper aims to analyze uninterrupted traffic flow characteristics under foggy conditions among adverse weathers. The traffic volumes and speeds under foggy and normal conditions were analyzed. Results indicated that fog with low visibility causes the most insignificant reduction in traffic volumes. On the other hand, the reduction in the speeds due to low visibility was evident. In addition, the relationship between flow, speed, and density in fog were analyzed. Analysis results showed that the fog with less than 200m visibility had clear impact on traffic flow.

Lane detection method using Median Filter based Retinex Algorithm in Foggy Image (미디언 필터 기반의 Retinex 알고리즘을 통한 안개 영상에서의 차선검출 기법)

  • Kim, Young-Tak;Hahn, Hern-Soo
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.8
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    • pp.31-39
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    • 2010
  • The paper proposes the median filter based Retinex algorithm to detect the lanes in a foggy image. Whether an input image is foggy or not is determined by analyzing the histogram in the pre-defined ROI(Region of Interest). If the image is determined as a foggy one, then it is improved by the median filter based Retinex algorithm. By replacing the Gaussian filter by the median filter in the Retinex algorithm, the processing time can be reduced and the lane features can be detected more robustly. Once the enhanced image is acquired, the binarization based on multi-threshold and the labeling operations are applied. Finally, it detects the lane information using the size and direction parameters of the detected lane features. The proposed algorithm has been evaluated by using various foggy images collected on different road conditions to prove that it detects lanes more robustly in most cases than the conventional methods.

Study on the Development of Advanced Road Environment Sensor and Estimation Formula for Fog Visibility Distance (보급형 도로환경센서 및 안개 가시거리 추정식 개발 연구)

  • Cho, Jungho;Jin, Minsoo;Cho, Wonbum
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.4
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    • pp.50-61
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    • 2022
  • Snow, rain, fog, and particulate matter interfere with the vehicle driver's vision, which causes a non-secure safety distance and an increase in speed deviation, causing repetitive large-scale traffic accidents. This study developed a road environment sensor capable of measuring 11 types of fog, snow, rain, temperature, humidity, direction of wind, speed of wind, Insolation, atmospheric pressure, fine particles, rainfall, etc. and compared the visibility measured by the infrared signal value of the development sensor. The relationship between the existing fog visibility sensor and the development sensor measurement was derived from data measured at a visibility of 500m or less that directly affects road safety.

Development of a smart LED lighting control algorithm considering coastal environment (해안환경을 고려한 LED보안등 스마트 제어 알고리즘 개발)

  • Kim, Min;Kim, Hyun-hee;Byun, Gi-sik
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.10a
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    • pp.938-940
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    • 2012
  • 전세계적으로 친환경, 에너지 절약과 맞물려 LED조명에 대한 관심이 증대되고 있다. 특히 우리나라는 삼면이 바다와 인접해 해안 항만 환경에 대한 관심이 높고, 해안산책로, 공원 등이 늘어나면서 LED 보안등에 대한 수요가 늘고 있는 추세이다. LED보안등의 수요가 늘어나면서 보안등의 주목적인 범죄예방에 대비하면서 에너지를 절감할 수 있는 시스템에 대한 관심이 증대되고 있다. 최근의 조명제어 시스템은 단순히 보행자 유무만을 인식하여 조명의 밝기를 제어하는 시스템이 대다수이며, 비, 바람, 안개, 해무 등의 실시간 변화가 잦은 해안환경에 대한 고려는 부족하다. 따라서, 본 논문에서는 보행자 유무와 비, 안개, 해무 등의 환경적 정보를 융합하여 보안등의 밝기를 통합 제어할 수 있는 스마트 제어 시스템을 설계하고자 한다.

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