• Title, Summary, Keyword: Weather Informations

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A Study on FIS-B Design and Implementation for Providing Air Traffic Informations (항공교통정보 제공을 위한 FIS-B 설계 및 구현에 관한 연구)

  • Cho, Tae-Hwan;Song, In-Seong;Jang, Eun-Mee;Yoon, Wan-Oh;Choi, Sang-Bang
    • The Journal of Advanced Navigation Technology
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    • v.15 no.6
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    • pp.970-976
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    • 2011
  • According to CNS/ATM, a new concept of navigation system, ADS-B systems are being built in the field of surveillance. FIS-B is one of the key elements of ADS-B, and also provides various flight informations, weather informations to the aircraft. In this paper, we reviewed the FIS-B standard and analyzed performance requirements. And then we designed and implemented FIS-B. In this simulation, we showed performance of FIS-B. And this research is very useful to the future work.

A Study of the Method for Estimating the Missing Data from Weather Measurement Instruments (인공신경망을 이용한 기상관측장비 결측 보완 기술에 관한 연구)

  • Min, Jae-Sik;Lee, Moo-Hun;Jee, Joon-Bum;Jang, Min
    • Journal of Digital Convergence
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    • v.14 no.8
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    • pp.245-252
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    • 2016
  • The purpose of this study is to make up for missing of weather informations from ASOS and AWS using artificial neural networks. We collected temperature, relative humidity and wind velocity for August during 5-yr (2011-2015) and sample designed artificial neural networks, assuming the Seoul weather station was missing. The result of sensitivity study on number of epoch shows that early stopping appeared at 2,000 epochs. Correlation between observation and prediction was higher than 0.6, especially temperature and humidity was higher than 0.9, 0.8 respectively. RMSE decreased gradually and training time increased exponentially with respect to increase of number of epochs. The predictability at 40 epoch was more than 80% effect on of improved results by the time the early stopping. It is expected to make it possible to use more detailed weather information via the rapid missing complemented by quick learning time within 2 seconds.

Development of the Road Weather Detection Algorithm on CCTV Video Images using Double Decision Trees (이중결정트리를 이용한 CCTV영상에서의 도로 날씨정보검출알고리즘 개발)

  • Park, Beung-Raul;NamKoong, Sung;Lim, Joong-Tae
    • The KIPS Transactions:PartB
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    • v.14B no.6
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    • pp.445-452
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    • 2007
  • We proposed a detection scheme of weather information in CCTV video images in this paper. The scheme obtains the RGB distribution of shiny day and divide a target image into cloud, rain, snow and for RGB distributions. shiny day RGB distribution. Our scheme designed systematically to detection and separation special characteristics of images from complex weather information. Our algorithm has less overhead than the previous methods to use weather database DB at the view of time and space. And our algorithm can be use in real world system with low cost of implementation. Also, our algorithm use informations of temperature, humidity, date, and time to detect the information of weather with high quality.

Study on Utilizing Resources in Environment-friendly City - Operation method of rain storage tank for using rainwater as multipurpose - (친환경 도시에서의 자원활용에 관한 연구 -빗물의 다목적 활용을 위한 빗물저장조의 운전방법 -)

  • 정용현
    • Journal of Environmental Science International
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    • v.12 no.3
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    • pp.359-366
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    • 2003
  • Ecological society and energy conservative systems has become a subject of world wide attention. To examine the technologies of such systems as resource recycling society, this study is proposed for using rainwater as energy source and water resources in urban area. Useful informations for planning of utilizing rainfall as energy source, water resources, emergency water and controlling flood are discussed with model systems in urban area. It is calculated that the rate of utilizing rainwater, amounts of utilizing rainwater, substitution rate of supply water, amounts of overflow rainwater according to rain storage tank volume. By applying the past weather data, The optimum volume of rain water storage was calculated as 200m$^3$ which mean no benefits according to the increase of storage tank volumes. For optimum planing and control method at the model system, several running method of rainwater storage tank was calculated. The optimum operating method was the using weather data as 3hours weather forecast.

A Study on the Evaluation of Synthetic Seakeeping Performance of a Ship Using Real Time Weather Data (실시간 기상정보를 이용한 선박의 종합내항성능 평가에 관한 연구)

  • 김순갑;이상민;이충로
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • pp.90-100
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    • 1998
  • There is a limitation for a ship which is sailing on sea to gather weather and seastate informations. To make up for this weakness , land organizations can gather wider variety of information and evaluate the seakeeping performance on ship. and supply this information to the ship. In this study, calculated the response amplitude of ship motions with the weather information provided in real time, the norminal speed loss with obtaining increased of resistance caused by wave and stochastic process of the seakeeping performance elements. And the results have been achieved to develop a system whichcan evaluate the synthetic seakeeping performance. Using this system , the results have been studied to determine the feasibility of using this simulation inactual operation onboard ship.

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A Study on the Evaluation of Synthetic Seakeeping Performance of a Ship Using Real Time Weather Data (실시간 기상정보를 이용한 선박의 종합내항성능 평가에 관한 연구)

  • Kim, Soon-Kap;Lee, Sang-Min;Lee, Choong-Ro
    • Journal of the Korean Institute of Navigation
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    • v.22 no.2
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    • pp.23-32
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    • 1998
  • There is a limitation for a ship which is sailing on sea to gather weather and seastate informations. To make up for this weakness, land organizations can gather wider variety of information and evaluate the seakeeping performanceon ship. And supply this information to the ship. In this study, calculated the response amplitude of shp motions with the weather information provided in real time, the nominal speed loss with obtaining increase of resistance caused by wave and stochastic process of the seakeeping performance elements. And the results have been achieved to develop a system which can evaluate the synthetic seakeeping performance. Using this system, the results have been studied to determine the feasibility of using simulation in actural operation onboard ship.

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Multiple Regression Analysis between Weather Factor and Line Outage using Logit Model (로짓(Logit) 모델을 이용한 날씨요소와 송전선로 고장의 다중회귀분석)

  • Shin, Dong-Suk;Lee, Youn-Ho;Kim, Jin-O;Lee, Baek-Seok;Bang, Min-Jae
    • Proceedings of the KIEE Conference
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    • pp.187-189
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    • 2004
  • This paper investigates the effect of weather factors(such as winds, rain, snows, temperature, clouds and humidity) on transmission line outages. The result shows that weather variables have significant effects on the transmission line historical outages and the relationship between them is nonlinear. Multiple regression analysis using Logit model is proved to be appropriate in forecasting line failure rate in KEPCO systems. It could also provide system operators with useful informations about system operation and planing.

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The Artificial Neural Network based Electric Power Demand Forecast using a Season and Weather Informations (계절 및 날씨 정보를 이용한 인공신경망 기반 전력수요 예측 알고리즘 개발)

  • Kim, Meekyeong;Hong, Chuleui
    • Journal of the Institute of Electronics and Information Engineers
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    • v.53 no.1
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    • pp.71-78
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    • 2016
  • This paper proposes the new electric power demand forecast model which is based on an artificial neural network and considers time and weather factors. Time factors are selected by measuring the autocorrelation coefficients of load demand in summer and winter seasons. Weather factors are selected by using Pearson correlation coefficient The important weather factors are temperature and dew point because the correlation coefficients between these factors and load demand are much higher than those of the other factors such as humidities, air pressures and wind speeds. The experimental results show that the proposed model using time and seasonal weather factors improves the load demand forecasts to a great extent.

Fourier Based Image Registration Using Pyramid Edge Detection and Line Fitting (Pyramid Edge Detection과 Line Fitting을 이용한 퓨리에 기반의 영상정합)

  • Kim, Kee-Baek;Kim, Jong-Soo;Choi, Jong-Soo
    • Proceedings of the IEEK Conference
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    • pp.999-1000
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    • 2008
  • Image Registration is used many works in image processing widely. But It is difficult to find the accuracy informations such as translation, rotation, and scaling between images. This paper proposes an algorithm that Fourier based image registration using the pyramid edge detection and line fitting. It can be estimated the informations by each sub-pixels. The proposed algorithm can be used for image registrations which high efficiency is required such as GIS, or MRI, CT, image mosaicing, weather forecasting, etc.

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