• 제목/요약/키워드: Visibility Range

검색결과 146건 처리시간 0.023초

905nm 펄스 레이저를 이용한 시정계 센서 (A Visibility Sensor using a 905nm Pulsed Mode Laser)

  • 김광웅;전호경;송동혁;박정호
    • 한국광학회:학술대회논문집
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    • 한국광학회 2002년도 하계학술발표회
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    • pp.210-211
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    • 2002
  • 산업의 발전과 급속한 대도시화는 환경오염이라는 새로운 사회적 이슈를 발생시켰다. 시정(Visual Range)이란 대기의 혼탁도를 나타내는 기상요소로서, 정상적인 시각을 가진 사람이 목표를 식별할 수 있는 최대거리를 의미한다 시정은 대기오염을 판단할 수 있는 척도이며, 항만 및 공항 등에서는 인명 및 재산과 직접적인 관계를 갖고 있어, 최근 시정 측정에 대한 중요성이 높아지고 있다. 본 논문에서는 배경 잡음에 좋은 특성을 가지며, 보디- 정확한 시정 측정을 위하여 905nm 펄스 모드 반도체 레이저 다이오드를 이용한 시정계 센서를 제작하여 실험하였다. (중략)

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보편적 주시특성을 반영한 시야각 보정 공간구조 분석 (Spatial Structure Analysis of View Angle Correction reflecting Characteristics of Universal Observation)

  • 김석태
    • 한국산학기술학회논문지
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    • 제16권10호
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    • pp.6917-6924
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    • 2015
  • 인간의 시각구조는 시야각과 가시거리에 의해 형성된다. 그러나 시지각에 기반한 대다수의 공간구조분석이론은 시야각을 반영하고 있지 않거나 평면적인 시야각만을 고려하고 있다. 일부 반영하는 이론들도 시야각에 포함된 부분과 제외된 부분을 이분법적으로 분리시킨 이론으로서 인간의 보편적 주시특성이 배제되어 있다. 본 연구는 아이트래킹 실험을 통하여 시야각의 한계를 실증적으로 파악하고 시야각별 주시확률을 도출하여, 이를 3차원 가시성 분석이론에 적용하였다. 그리고 시야각체 제한이 가능한 공간 시지각 분석어플리케이션을 제작하고 여기에 시야각별 Multiple frustum culling의 개념을 적용하여 그 가능성을 파악하였다. 주시특성 파악은 33명을 대상으로 이동형 아이트래커를 이용하여 임의의 공간에 대한 3분간의 보행과정을 측정한 데이터를 수집하였으며, 각도별로 주시고정 빈도 확률을 분석하여 데이터를 마련하였다.

Development of Day Fog Detection Algorithm Based on the Optical and Textural Characteristics Using Himawari-8 Data

  • Han, Ji-Hye;Suh, Myoung-Seok;Kim, So-Hyeong
    • 대한원격탐사학회지
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    • 제35권1호
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    • pp.117-136
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    • 2019
  • In this study, a hybrid-type of day fog detection algorithm (DFDA) was developed based on the optical and textural characteristics of fog top, using the Himawari-8 /Advanced Himawari Imager data. Supplementary data, such as temperatures of numerical weather prediction model and sea surface temperatures of operational sea surface temperature and sea ice analysis, were used for fog detection. And 10 minutes data from visibility meter from the Korea Meteorological Administration were used for a quantitative verification of the fog detection results. Normalized albedo of fog top was utilized to distinguish between fog and other objects such as clouds, land, and oceans. The normalized local standard deviation of the fog surface and temperature difference between fog top and air temperature were also assessed to separate the fog from low cloud. Initial threshold values (ITVs) for the fog detection elements were selected using hat-shaped threshold values through frequency distribution analysis of fog cases.And the ITVs were optimized through the iteration method in terms of maximization of POD and minimization of FAR. The visual inspection and a quantitative verification using a visibility meter showed that the DFDA successfully detected a wide range of fog. The quantitative verification in both training and verification cases, the average POD (FAR) was 0.75 (0.41) and 0.74 (0.46), respectively. However, sophistication of the threshold values of the detection elements, as well as utilization of other channel data are necessary as the fog detection levels vary for different fog cases(POD: 0.65-0.87, FAR: 0.30-0.53).

도시 대기 Aerosol의 입자직경 0.01~$1.0\mu\textrm{m}$ 범위의 농도변화 특성 (A Study on the Characteristics of Urban Aerosol Concentration in the Size Range of 0.01~$1.0\mu\textrm{m}$)

  • 김필수;김윤장;이양호;조숙현;안승태
    • 한국대기환경학회지
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    • 제2권2호
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    • pp.41-50
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    • 1986
  • Urban aerosol concentrations in the size range of $0.01 \sim 1.0 \mum$ have been measured by using an electrical aerosol analyzer from May through October, 1984. The total diurnal variation of the number concentration indicates that a minimum value is observed at 3 hr and a sharp increase is noticed early in the morning with a subsequent slow and continuous increase from around 7 hr until 20 hr. After that it is decreased to reach its minimum by dawn. However, both surface and volume concentrations have shown that their first maxima at 8 hr and their second at about 20 hr simultaneously. It is found that the aerosol number is mainly governed by the particles in the size range of $0.01 \sim 0.1 \mum$, while most volume is in $0.1 \sim 1.0 \mum$ size range. It is known fact that particles of $0.1 \sim 1.0 \mum$ size range affect the visibility reduction in the atmosphere. The monthly variation of aerosol concentration remarks its minimum in summer. The main factors influencing the aerosol concentration are emission of autoexhausts, various processes of production and removal, and meteorological parameters.

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Meteorological Factors Affecting Winter Particulate Air Pollution in Ulaanbaatar from 2008 to 2016

  • Wang, Minrui;Kai, Kenji;Sugimoto, Nobuo;Enkhmaa, Sarangerel
    • Asian Journal of Atmospheric Environment
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    • 제12권3호
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    • pp.244-254
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    • 2018
  • Ulaanbaatar, the capital of Mongolia, is subject to high levels of atmospheric pollution during winter, which severely threatens the health of the population. By analyzing surface meteorological data, ground-based LIDAR data, and radiosonde data collected from 2008 to 2016, we studied seasonal variations in particulate matter (PM) concentration, visibility, relative humidity, temperature inversion layer thickness, and temperature inversion intensity. PM concentrations started to exceed the 24-h average standard ($50{\mu}g/m^3$) in mid-October and peaked from December to January. Visibility showed a significant negative correlation with PM concentration. Relative humidity was within the range of 60-80% when there were high PM concentrations. Both temperature inversion layer thickness and intensity reached maxima in January and showed similar seasonal variations with respect to PM concentration. The monthly average temperature inversion intensity showed a strong positive correlation with the monthly average $PM_{2.5}$ concentration. Furthermore, the temperature inversion layer thickness exceeded 500 m in midwinter and overlaid the weak mixed layer during daytime. Radiative cooling enhanced by the basin-like terrain led to a stable urban atmosphere, which strengthened particulate air pollution.

Motion-Blurred Shadows Utilizing a Depth-Time Ranges Shadow Map

  • Hong, MinhPhuoc;Oh, Kyoungsu
    • Journal of Information Processing Systems
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    • 제14권4호
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    • pp.877-891
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    • 2018
  • In this paper, we propose a novel algorithm for rendering motion-blurred shadows utilizing a depth-time ranges shadow map. First, we render a scene from a light source to generate a shadow map. For each pixel in the shadow map, we store a list of depth-time ranges. Each range has two points defining a period where a particular geometry was visible to the light source and two distances from the light. Next, we render the scene from the camera to perform shadow tests. With the depths and times of each range, we can easily sample the shadow map at a particular receiver and time. Our algorithm runs entirely on GPUs and solves various problems encountered by previous approaches.

2차원적 음원추적에 관한 연구 (A Study on Acoustic Sound Tracking System on 2-Dimensional Plain)

  • 문성배;전승환
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 1996년도 The Korean Institute of Navigation 1996년도 한·중 국제학술 심포지움 및 추계학술발표회 논문집
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    • pp.117-124
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    • 1996
  • When navigating in or near an area of restricted visibility it is necessary to be heard the whistle bell and/or the siren of lighthouses or ships at times. Even though we can get the brief informations about the property of sound the direction and range of a sound radiator it is not easy to get the accurate informations for decision making. generally the audio frequency is known as 16-20,000Hz but the earshot is shorten and discrimination of sound is more difficult when there is some noise. The sound pressure is 60dB at the moment when human speaks 1 meter away. Usually the noise pressure in a silent room is 40dB and 60dB on the quiet street. In this study we suggest the basic algorithm to trace the direction and range of the source radiator using the signal received through not a physical sense but the microphone sensors and a series of signal of signal processing.

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2차원적 음원추적에 관한 연구 (A Study on 2-Dimensional Sound Source Tracking System)

  • 문성배;전승환
    • 한국항해학회지
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    • 제20권4호
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    • pp.71-79
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    • 1996
  • When navigating in or near an area of restricted visibility, it is necessary to be heard the whistle, bell and/or the siren of lighthouses or ships at times. Even though we can get the brief informations about the property of sound, the direction and range of a sound radiator, it is not enough to get the accurate informations for decision making. Generally the audio frequency is known as 16~20, 000Hz, but the earshot is shorten and discrimination of sound is more difficult when there is some noise. The sound pressure is 60dB at the moment when human speaks 1 meter away. Usually the noise pressures are 40dB in a silent room and 60dB on the quiet street, respectively. It this study, the basic algorithm and a method of signal processing are suggested to trace the direction and range of the source radiator using the signals received through not a physical sense but the microphone sensors.

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서울시의 1993년 가을철 시정 및 입자 특성 측정 및 분석 (Measurement and Analysis of Visibility and the Characteristics of Particles during the Fall, 1993 in Seoul)

  • 백남준;김태오;김성주;김용표;문길주
    • 한국대기환경학회지
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    • 제10권1호
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    • pp.32-40
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    • 1994
  • Continuous measurements of the extinction coefficient( $b_{ext}$ ) and scattering coefficient due to Particle( $b_{sp}$ ) were made during the fall 1993 in Seoul along with the measurements of the size distribution, ionic composition of particles. On the average, $b_{sp}$ values are 55% and 79% of $b_{ext}$ values during the clear and smoggy Periods respectively. Also the average values of $b_{ext}$ and $b_{sp}$ were 0.791$\times$10$^{-3}$ $m^{-1}$ (visual range 4.9km) and 0.628$\times$10$^{-3}$ $m^{-1}$ (visual range 6.2km) during the smoggy Period, and 0.297$\times$10$^{-3}$ $m^{-1}$ (visual range 13.1km) and 0.164$\times$10$^{-3}$ $m^{-1}$ (visual range 23.8km) during the clear period, respectively. The Peak at about 1${\mu}{\textrm}{m}$ of the Particle size distribution during the smoggy period is about four times higher than that during the clear period while the peaks at about 5${\mu}{\textrm}{m}$ during both periods are similar. Also, the concentrations of sulfate and nitrate at about 1${\mu}{\textrm}{m}$ during the smoggy Period are much higher than these during the clear Period.eriod.

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다공성 기재를 이용한 닭가슴살 신선도 인디케이터 제조 및 특성 (Development of a Food Freshness Indicator for Monitoring Spoilage of Chicken Breast Using a Porous Substrate)

  • 이가은;백승혜;김도완;서종철
    • 한국포장학회지
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    • 제23권1호
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    • pp.37-45
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    • 2017
  • 닭가슴살의 품질변화를 실시간으로 모니터링하기 위하여 pH 지시약, AA, 다공성 기재인 $Tyvek^{(R)}$을 이용하여 신선도 인디케이터를 제조하였다. 닭가슴살의 대표적인 지표물질은 TVBN과 $CO_2$이며, 이는 저장기간에 따라 미생물의 증식과 단백질 분해를 통해 증가한다. 닭가슴살 저장실험 결과 미생물 수로 판단한 초기부패단계의 $CO_2$ 농도와 TVBN 발생량은 각각 19%와 23 mg%로 확인되었다. 지표물질 발생량 데이터를 토대로 BCG 및 AA의 농도별 인디케이터를 제조하여 인디케이터 색변화 시뮬레이션을 실시하였다. 그 결과, AA의 함량에 따른 인디케이터의 색변화구간 조절 가능성이 확인되었으며, 제조한 인디케이터 중 "G0.12_A0.5"의 인디케이터가 닭가슴살 초기 부패판정 농도인 TMA 20 mg%에서 육안으로 확인할 수 있는 뚜렷한 색변화를 보였다. 시뮬레이션을 통해 선정된 최적 조성의 인디케이터를 닭가슴살 포장내부에 부착하였으며, $4^{\circ}C$$10^{\circ}C$에서 8일동안 닭가슴살의 이화학적 변화와 그에 따른 인디케이터의 색변화를 관찰하였다. 그 결과, TCD 값을 통해 판단된 인디케이터의 색변화 발생일이 각 온도별 닭가슴살 초기부패판정일과 잘 부합하였으며, 이를 통해 시뮬레이션의 신뢰성을 확보할 수 있는 것으로 확인되었다. 본 연구 결과는 저장 중 닭가슴살의 품질변화를 제조한 인디케이터의 포장 내 부착을 통하여 감지하고 실시간 신선도 판단이 가능할 것으로 사료된다.