• Title/Summary/Keyword: WEATHER

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Phase Noise Effects on the Pulse Pair Spectrum Moment Estimates in a Doppler Weather Radar

  • Lee, jong-Gil
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.26 no.7B
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    • pp.951-956
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    • 2001
  • A weather radar usually extracts the necessary information from the return Doppler spectrum moment estimates. Phase stability is a very important factor in obtaining accurate and reliable information in a Doppler weather radar system since the system phase noise may seriously degrade the weather spectrum moment estimation quality. These spectrum moment estimates are commonly obtained using the pulse pair method which is simple to implement and fast enough to process an enormous amount of weather radar data in real time. Therefore, an analytical method is developed in this paper to analyze and quantify the phase noise effects on the pulse pair spectrum moment estimates in terms of the phase noise power and broadness.

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Design and Implementation of Android-based Total Weather Information Application using XML Parsing Techniques (XML 파싱기법을 이용한 안드로이드 기반의 종합 날씨 정보 앱 설계 및 구현)

  • Lee, Jin-Wook;Yueon, Hyoung-Soo;Ha, Soo-Cheol
    • Journal of Digital Contents Society
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    • v.12 no.4
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    • pp.611-618
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    • 2011
  • This paper presents a design and implementation of Android-base Total Weather Information using XML(eXtensible Markup Language) techniques. Weather Information are changed using GPS location provider and XML parsing techniques according to the current location, This application alarms the weather information as the English voices when some alarm events appear regardless of the application access or finish. We design the user interface simple because the first impression is important in all applications.

Meteorological Disasters and Prevention Measures (기상재해와 대책)

  • Park, Gwan-Yeong
    • Journal of the Korean Professional Engineers Association
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    • v.41 no.4
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    • pp.43-46
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    • 2008
  • The extreme weather events have increased around the world this century. One of the main reasons of frequent occurrence is the change of atmospheric circulation by El nino. also Korea Peninsular is not exception. The 97 % of death toll and 89 % of property loss of total are related with extreme-weather events for the last 10 years. for example the heavy rainfall (1998-4999) and Typhoon Rusa and Mamie. In spite of the percent of death toll by extreme-weather disaster is increasing and the total population is growing. but the number of death toll from natural disasters is decreasing. It shows that the loss of property and life can be minimize by preparing the proper disaster prevention measures. There are several preparations to reduce the damage by extreme-weather events: Public facilities have overall check up, to recognize the weather alert, the awareness of the escape route and the art of measures

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A Study on Weather Data for Air Conditioning Equipment Design Report I - Weather Data in Busan from 1970 through 2003

  • Kim Jong-Ryeol;Kum Jong-Soo;Choi Kwang-Hwan
    • International Journal of Air-Conditioning and Refrigeration
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    • v.14 no.1
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    • pp.1-6
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    • 2006
  • For the purpose of processing weather data for air conditioning equipment de sign in Busan area Korea, this study collected weather observations made by Busan weather Administration from 1970 to 2003, and then established external conditions for heating and air-conditioning design. For changes of temperature in external conditions for design, the highest temperature had little changed, whereas the lowest had been on the rise as the years went by through the 1970s, 1980s, 1990s, and 2000s, but insolation has a little lessened. Absolute humidity does not show a significant change but an incessant rise.

Climate Change and Psychological Adaptation: Psychological Response, Adaptation, and Prevention (기후변화와 심리적 적응: 심리적 반응, 적응, 예방)

  • Moon, Sung-Won
    • Journal of Korean Society for Atmospheric Environment
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    • v.32 no.3
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    • pp.237-247
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    • 2016
  • Global climate change is becoming one of the greatest challenges facing humanity. This article proposes a psychological perspective of climate change adaptation. Climate change-related severe adverse weather events may trigger mental health problems, including increased post-traumatic stress disorder (PTSD), depression, anxiety, violence, and even suicide. Forced migration could be considered a coping method for dealing with weather events, but it may also pose a psychological threat. People respond to severe weather events in different ways based on their individual characteristics. Psychological risks from adverse weather events are mediated and moderated by these factors, which are influenced by personal cognition, affect, and motivation. Examinations from a psychological perspective, which have been neglected in the science of climate change thus far, may provide keys to successful adaptation and the prevention of serious psychological problems resulting from the experience of severe weather events. A new prevention strategy has been suggested for coping with climate threats through encouraging attitude change, establishing proactive support systems for vulnerable groups, establishing a PTSD network, and implementing a stress inoculation program.

Development of a Weather Forecast Service Based on AIN Using Speech Recognition (음성 인식을 이용한 지능망 기반 일기예보 서비스 개발)

  • Park Sung-Joon;Kim Jae-In;Koo Myoung-Wan;Jhon Chu-Shik
    • MALSORI
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    • no.51
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    • pp.137-149
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    • 2004
  • A weather forecast service with speech recognition is described. This service allows users to get the weather information of all the cities by saying the city names with just one phone call, which was not provided in the previous weather forecast service. Speech recognition is implemented in the intelligent peripheral (IP) of the advanced intelligent network (AIN). The AIN is a telephone network architecture that separates service logic from switching equipment, allowing new services to be added without having to redesign switches to support new services. Experiments in speech recognition show that the recognition accuracy is 90.06% for the general users' speech database. For the laboratory members' speech database, the accuracies are 95.04% and 93.81%, respectively in simulation and in the test on the developed system.

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Statistical Modeling on Weather Parameters to Develop Forest Fire Forecasting System

  • Trivedi, Manish;Kumar, Manoj;Shukla, Ripunjai
    • The Korean Journal of Applied Statistics
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    • v.22 no.1
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    • pp.221-235
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    • 2009
  • This manuscript illustrates the comparative study between ARIMA and Exponential Smoothing modeling to develop forest fire forecasting system using different weather parameters. In this paper, authors have developed the most suitable and closest forecasting models like ARIMA and Exponential Smoothing techniques using different weather parameters. Authors have considered the extremes of the Wind speed, Radiation, Maximum Temperature and Deviation Temperature of the Summer Season form March to June month for the Ranchi Region in Jharkhand. The data is taken by own resource with the help of Automatic Weather Station. This paper consists a deep study of the effect of extreme values of the different parameters on the weather fluctuations which creates forest fires in the region. In this paper, the numerical illustration has been incorporated to support the present study. Comparative study of different suitable models also incorporated and best fitted model has been tested for these parameters.

The On-site Quality Characteristics of the Cold Weather Concrete using High Early Strength Portland Cement (조강포틀랜드시멘트를 사용한 한중콘크리트의 현장품질 특성)

  • Lee, Won-Am;Um, Tae-Sun;Ryu, Jae-Sang;Lee, Jong-Ryul;Kang, Ji-Hun
    • Proceedings of the Korea Concrete Institute Conference
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    • 2004.05a
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    • pp.224-227
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    • 2004
  • The cement can be influenced by the temperature. Especially, when it is cold weather, it causes some problems in such properties as mixing, placing and curing of concrete. According to the Concrete Standard Specification(2003), in case of the average daily outdoor temperature below $4^{\circ}C$, it recommends to use the cold weather concrete. In this research, the on-site quality characteristics of the cold weather concrete using high early strength portland cement(Type III cement) were studied. As a result, the cold weather concrete using high early strength portland cement can obtain its excellent properties and benefit the cost of construction.

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Analysis of the Correlation on the Weather Conditions and the Contamination Degree Using Mu lisle Regression Method (다중회귀를 이용한 기후와 오손도 간의 상관관계 분석)

  • 심규일;최남호;김종석;한상옥
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2001.11a
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    • pp.199-202
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    • 2001
  • This paper presents the correlation on the contamination degree and weather conditions using the multiple regression of the statistic method. The cotamination is a significant factor in the insulation system. The major factor is natural contamination, and the most is the salt. The salt contamination is occured by the weather conditions. The weather contaminations are wind, precipitation, temperature, relative humidity, etc. The effects of those are different, and the correlation is showed numerically by using the multiple regression method of the statistic method. With this, the estimation of the equivalent salt deposit density(ESDD) becomes possible by the changes of the weather conditions.

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