• Title/Summary/Keyword: Weather Monitoring System

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Synoptic Weather Patterns and Variation of Ozone Concentrations Association with High Ozone Days at Five Major Cities in Korea (고농도 오존이 발생하는 날의 종관 기상 패턴과 주요 5대 도시별 오존 농도 변화)

  • 김유라;윤일희;김희종
    • Journal of Environmental Science International
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    • v.10 no.6
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    • pp.437-444
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    • 2001
  • The characteristic features of surface ozone concentration and the forecasting procedure of high ozone days have been studied. The ozone concentration was continuously measured during 3 years (1997~1999) at air quality monitoring stations in five major cities in Korea. The diurnal variation of surface ozone concentration on high ozone days is characterized by low ozone concentration at night. The ozone concentration Increases continuously after sunrise, In reach a peak at 1500~1600 LST. Thereafter it decreases steadily to a low concentration at sunset. The diurnal and annual maximum of the surface ozone concentration at Seoul were observed in May and June, respectively. The favorable synoptic condition for the high ozone day is divided into 4 different synoptic weather patterns: a high-pressure system from the Sea of Okhotsk, the Pacific subtropical high extending westward, a moving high-pressure system covering the Korean peninsula. and a synoptic system In front of a typhoon. Most of high ozone days occur under the high pressure system in Korea.

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Ubiquitous Radioactivity Care System (유비쿼터스 방사성 CARE 시스템에 관한 보고서)

  • Jung, Chang-Duk;Park, Chan-Hyuk;Hwang, Sun-Il
    • 한국IT서비스학회:학술대회논문집
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    • 2009.05a
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    • pp.409-414
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    • 2009
  • I have not seen each of the existing technology, RFID/USN technology combined with the wireless communication channel for the state of nuclear safety in real-time remote monitoring and operation system technology CARE existing radioactive accident information collected by the nuclear power and nuclear power status, 10-20 second intervals to monitor the safety network (SIDS), and nuclear power plants located on the site within 40 ㎞ radius around the 13~15 of the wind speed from the automatic weather network weather information such as rainfall and temperature every 10 minutes to collect as automatic weather network (REMDAS), Evaluation of atmospheric radiation and radiation of the bomb radiation impact assessment system to calculate the goodness (FADAS) and thicken the radiation-related information consists of real-time web technology to collect, the last robot on behalf of the human will to manage the nuclear power plant accident of the technology to prevent the concrete from the following narrative about to have.

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Development of Radar-enabled AI Convergence Transportation Entities Detection System for Lv.4 Connected Autonomous Driving in Adverse Weather

  • Myoungho Oh;Mun-Yong Park;Kwang-Hyun Lim
    • International journal of advanced smart convergence
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    • v.12 no.4
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    • pp.190-201
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    • 2023
  • Securing transportation safety infrastructure technology for Lv.4 connected autonomous driving is very important for the spread of autonomous vehicles, and the safe operation of level 4 autonomous vehicles in adverse weather has limitations due to the development of vehicle-only technology. We developed the radar-enabled AI convergence transportation entities detection system. This system is mounted on fixed and mobile supports on the road, and provides excellent autonomous driving situation recognition/determination results by converging transportation entities information collected from various monitoring sensors such as 60GHz radar and EO/IR based on artificial intelligence. By installing such a radar-enabled AI convergence transportation entities detection system on an autonomous road, it is possible to increase driving efficiency and ensure safety in adverse weather. To secure competitive technologies in the global market, the development of four key technologies such as ① AI-enabled transportation situation recognition/determination algorithm, ② 60GHz radar development technology, ③ multi-sensor data convergence technology, and ④ AI data framework technology is required.

SOLAR OBSERVATIONAL SYSTEM OF KYUNGHEE UNIVERSITY (경희대학교 태양관측시스템)

  • KIM IL-HOON;KIM KAP-SUNG
    • Publications of The Korean Astronomical Society
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    • v.13 no.1 s.14
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    • pp.39-54
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    • 1998
  • We have developed solar observational system in the department of Astronomy & Space Sciences of KyungHee University, in order to monitor solar activities and construct solar database for space weather forecasting at maximum of 23rd solar cycle, as well as an solar education and exercise for undergraduate students. Our solar observational system consists of the full disk monitoring system and the regional observation system for H a fine structure. Full disk monitoring system is made of an energy rejection filter, 16cm refractor, video CCD camera and monitor. Monitored data are recorded to VHS video tape and analog output of video CCD can be captured as digital images by the computer with video graphic card. Another system for regional observation of the sun is made of energy rejection filter, 21cm Schmidt-Cassegrain reflector, H a filter with 1.6A pass band width and $375\times242$ CCD camera. We can observe H a fine structure in active regions of solar disk and solar limb, by using this system. We have carried out intense solar observations for a test of our system. It is found that Quality of our H a image is as good as that of solar images provided by Space Environmental Center. In this paper, we introduce the basic characteristics of the KyungHee Solar Observation System and result of our solar observations. We hope that our data should be used for space weather forecasting with domestic data of RRL(Radio Research Laboratory) and SOFT(SOlar Flare Telescope).

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Comparative Results of Weather Routing Simulation (항로최적화기술 시뮬레이션 비교 결과)

  • Yoo, Yunja;Choi, Hyeong-Rae;Lee, Jeong-Youl
    • Journal of the Society of Naval Architects of Korea
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    • v.52 no.2
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    • pp.110-118
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    • 2015
  • Weather routing method is one of the best practices of SEEMP (Ship Energy Efficiency Management Plan) for fuel-efficient operation of ship. KR is carrying out a basic research for development of the weather routing algorithm and making a monitoring system by FOC (Fuel Oil Consumption) analysis compared to the reference, which is the great circle route. The added resistances applied global sea/weather data can be calculated using ship data, and the results can be corrected to ship motions. The global sea/weather data such as significant wave height, ocean current and wind data can be used to calculate the added resistances. The reference route in a usual navigation is the great circle route, which is the shortest distance route. The global sea/weather data can be divided into grids, and the nearest grid data from a ship's position can be used to apply a ocean going vessel's sea conditions. Powell method is used as an optimized routing technique to minimize FOC considered sea/weather conditions, and FOC result can be compared with the great circle route result.

Design of WSN-based Weather Field Server for Damage Prevention from Local Weather Condition Changes (국지성 기상변화로부터의 피해방지를 위한 WSN 기반의 기상용 필드서버 제작)

  • An, Seong-Mo;Kim, Jae-Gyeong;Yoo, Jae-Ho;Chung, Wan-Young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2010.10a
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    • pp.151-152
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    • 2010
  • In this paper, a weather field server is designed and developed for local area weather condition monitoring system. Weather field server consists of an integrated sensor board and wireless sensor node to enable quick response of changing weather conditions in the valley region. A server program is established to monitor and analyze real-time weather condition in order to detect and prevent weather damages occurring in the locality.

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A Study on IoT based Real-Time Plants Growth Monitoring for Smart Garden

  • Song, Mi-Hwa
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.1
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    • pp.130-136
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    • 2020
  • There are many problems that occur currently in agriculture industries. The problems such as unexpected of changing weather condition, lack of labor, dry soil were some of the reasons that may cause the growth of the plants. Condition of the weather in local area is inconsistent due to the global warming effect thus affecting the production of the crops. Furthermore, the loss of farm labor to urban manufacturing jobs is also the problem in this industry. Besides, the condition for the plant like air humidity, air temperature, air quality index, and soil moisture are not being recorded automatically which is more reason for the need of implementation system to monitor the data for future research and development of agriculture industry. As of this, we aim to provide a solution by developing IoT-based platform along with the irrigation for increasing crop quality and productivity in agriculture field. We aim to develop a smart garden system environment which the system is able to auto-monitoring the humidity and temperature of surroundings, air quality and soil moisture. The system also has the capability of automating the irrigation process by analyzing the moisture of soil and the climate condition (like raining). Besides, we aim to develop user-friendly system interface to monitor the data collected from the respective sensor. We adopt an open source hardware to implementation and evaluate this research.

Design of Lake Ecological Observation Data Management

  • Ahn, Bu-Young;Jung, Young-Jin;Lee, Myung-Sun;Jeong, Choong-Kyo;Kim, Bom-Chul
    • International Journal of Contents
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    • v.7 no.1
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    • pp.45-51
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    • 2011
  • To protect water pollution and scarcity in lake and river, water quality monitoring applications have become important tools to understand the change of aquatic ecosystem. KLEON (Korean Lake Ecological Observatory Network) is designed to manage and share the ecological observations. The various kinds of water quality and phytoplankton observations are collected from the selected observatories such as seven lakes/rivers/wetlands. To deeply understand the collected observations with weather, KLEON also manages the observatory information such as lake, dam, floodgate, and weather. The accumulated observation and analyzed results are used to improve the water quality index of the observatories and encourage the ecologists' cooperation.