• 한국철도학회논문집
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• 제10권5호
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• pp.589-595
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• 2007

한국형 경전철의 무선통신기반 열차제어시스템은 지상과 차상 무선기 사이의 전파지연을 이용하여 열차의 위치를 검지하고 있다. 본 논문에서는 허가없이 사용할 수 있는 무선기기에 대한 정보통신부 고시기준에 적합하도록 경전철시험선 무선시스템의 송신전력을 줄여 사용할 수 있는지를 전파모의실험을 통해 검토하였다. 우선, 시험선에서 스펙트럼분석기로 측정한 데이터를 분석하여 무선전파(傳播) 모델을 결정하고, 경전철시험선의 지형데이터와 감소된 송신전력을 전파전파(電波傳播)예측 프로그램에 적용하여 전파도달거리를 예측하고, 예측데이터를 바탕으로 송신전력을 줄였을 경우의 실효성을 제시한다.

• Wind and Structures
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• 제30권3호
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• pp.289-298
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• 2020

Gusts generated by downburst have caused a great variety of structural damages in many regions around the world. It is of great significance to accurately evaluate the downburst-induced wind load on high-rise building for the wind resistance design. The main objective of this paper is to propose a computational modeling approach which can satisfactorily predict the mean and fluctuating wind pressure coefficients induced by downburst on high-rise building surfaces. In this study, using an impinging jet to simulate downburst-like wind, and simultaneous pressure measurements are obtained on a high-rise building model at different radial locations. The model test data are used as the database for developing back propagation neural network (BPNN) models. Comparisons between the BPNN prediction results and those from impinging jet test demonstrate that the BPNN-based method can satisfactorily and efficiently predict the downburst-induced wind pressure coefficients on single and overall surfaces of high-rise building at various radial locations.

• 대기
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• 제32권3호
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• pp.235-246
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• 2022

A large number of MJO skill metrics and process-oriented MJO simulation metrics have been developed by previous studies including the MJO Working Group and Task Force. To assess models' successes and shortcomings in the MJO simulation, a standardized set of diagnostics with the additional set of dynamics-oriented diagnostics are applied. The Global Coupled (GC) model developed for the operation of the climate prediction system is used with the comparison between the GC2 and GC3.1. Two GC models successfully capture three-dimensional dynamic and thermodynamic structure as well as coherent eastward propagation from the reference regions of the Indian Ocean and the western Pacific. The low-level moisture convergence (LLMC) ahead of the MJO deep convection, the low-level westerly and easterly associated with the coupled Rossby-Kelvin wave and the upper-level divergence are simulated successfully. The GC3.1 model simulates a better three-dimensional structure of MJO and thus reproduces more realistic eastward propagation. In GC2, the MJO convection following the LLMC near and east of the Maritime Continent is much weaker than observation and has an asymmetric distribution of both low and upper-level circulation anomalies. The common shortcomings of GC2 and GC3.1 are revealed in the shorter MJO periods and relatively weak LLMC as well as convective activity over the western Indian Ocean.

• Journal of Biosystems Engineering
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• 제30권6호통권113호
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• pp.360-365
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• 2005

Precision agriculture attempts to improve cropping efficiency by variable application of crop treatments such as fertilizers and pesticides, within field on a point-by-point basis. Therefore, a more complete understanding of the relationships between yield and soil properties is of critical importance in precision agriculture. In this study, the functional relationships between measured soil properties and rice yield were investigated. A supervised back-propagation neural network model was employed to relate soil chemical properties and rice yields on a point-by point basis, within individual site-years. As a results, a positive correlation was found between practical yields and predicted yields in 1999, 2000, 2001, and 2002 are 0.916, 0.879, 0.800 and 0.789, respectively. The results showed that significant overfitting for yields with only the soil chemical properties occurred so that more of environmental factors, such as climatological data, variety, cultivation method etc., would be required to predict the yield more accurately.

• 한국통신학회논문지
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• 제38A권9호
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• pp.765-772
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• 2013

본 논문에서는 인천공항 Concourse 지역에서 항공정보통신 무선 채널의 경로 손실 모델에 관해 연구하였다. 항공정보통신 주파수 밴드인 VHF/UHF 채널 중에 두 개의 주파수에 대해 전파 측정을 수행하였다. 현재 운영 중인 송신 사이트에서 변조 신호를 제거한 캐리어 파워를 송신하였으며, 전파 측정을 위해 수신기를 장착한 이동 차량을 이용하여 Concourse 지역에서 전파 측정을 수행하였다. 송신 파워, 주파수, 안테나 위치 등은 현재 운용 조건과 같다. 경로 손실 계수 및 실험적인 경로 손실 식은 기본적인 경로 손실 모델 및 하타 모델 등을 이용하여 추출하였다. Concourse 지역에서 추출된 LOS/NLOS 경로 손실 계수는 128.2MHz 및 269.1MHz에서 각각 3.1/3.13 및 3.01/3.38이었고 예측 에러의 편차는 각각 2.77/3.17 및 4.01/3.66이었다. 추출된 경로 손실 계수를 이용하여 Concourse 지역에서 전파 경로 손실식과 실험적인 경로 손실 계수를 도출하였으며 또한 다른 전파 패스 모델과 비교하였다. 이러한 결과는 항공정보통신 사이트 최적 위치 선정 및 항공정보통신 서비스 평가에 도움이 될 것이다.

• 국제학술발표논문집
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• The 1th International Conference on Construction Engineering and Project Management
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• pp.913-916
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• 2005

This paper presents the development of Artificial Neural Network models for forecasting the cost and contract duration of school reconstruction projects to assist the planners' decision-making in the early stage of the projects. 132 schools reconstruction projects in central Taiwan, which received the most serious damage from the Chi-Chi Earthquake, were collected. The developed Artificial Neural Network prediction models demonstrate good prediction abilities with average error rates under 10% for school reconstruction projects. The analytical results indicate that the Artificial Neural Network model with back-propagation learning is a feasible method to produce accurate prediction results to assist planners' decision-making process.

• 한국정보통신학회논문지
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• 제7권4호
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• pp.736-742
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• 2003

지하공간인 터널에 대하여 이론적인 전파 경로손실 예측과 측정을 수행하였다. 터널 내 전파 경로 손실을 보다 정교하게 해석하기 위하여 터널의 단면적이 직사각형이고 직선구조의 터널을 선택하였다. 혼합도파관 모델, ray tracing모델을 이용하여 수신전력을 예측하였고, 측정시스템을 이용하여 송ㆍ수신기 사이의 거리에 따른 수신전력을 측정하였다. 주어진 터널 환경에서 터널 내 수신전력 측정값에 대한 회귀분석 값(0.0238dB/m)은 혼합도파관 EH1,2모드의 감쇄 값(0.0246dB/m)과 가장 근사한 결과를 보였다. 터널내 송ㆍ수신안테나 사이의 거리에 따른 수신 전력에 대한 Ray-tracing모델 시뮬레이션 결과와 측정값은 거의 일치하였다. 터널 내 RMS지연확산을 계산한 결과 송ㆍ수신안테나 사이의 거리가 증가할수록 RMS 지연확산 값은 증가하였고, 코히어런스 대역폭은 감소하였다.

• 한국소음진동공학회논문집
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• 제14권3호
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• pp.175-184
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• 2004

Ground-borne noise and vibration generated by underground transit system has been recognized as an important environmental problem. This study reviews several of the procedures that have been used to predict ground-borne vibration. The vibration responses are measured at three sites that have different soil qualities. The measured vibration levels are compared with the predicted results by previously used vibration level prediction models. There are some drawbacks to apply these prediction models to selected sites because most of the existing prediction models are primarily based on empirical data and all of them lack of analytical models for the mechanism of ground-borne vibration generation. radiation, and propagation. In this study a numerical method, which is based on explicit differential method, is used to compensate for the shortcomings of existing prediction models. Although numerically computed results are not quantitatively in good agreement with the measured results, the trends are comparable in the sense that vibration level does not decrease monotonically with distance. Also, the site with the deepest tunnel gives the highest vibration level.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1999년도 제14차 학술회의논문집
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• pp.226-229
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• 1999

We have been developing a method to build models for time series using Genetic Programming. The proposed method has been applied to various kinds of time series e.g. computer-generated chaos, natural phenomena, and financial market indices etc. Now we apply the prediction method to time histories of seismic ground motion i.e. one-step-ahead prediction of seismographic amplitude. Waves of earthquakes are composed of P-waves and S-waves. They propagate in different speeds and have different characteristics. It is believed that P-waves arrive firstly and S-waves arrive secondly. Simulations were performed based on real data of Hyuganada earthquake which broke out at southern part of Kyushuu Island in Japan. To our surprise, prediction model built using the earthquake waves in early time can enough precisely predict main huge waves in later time. Lots of experiments lead us to conclude that every slice of data involves P-wave and S-wave. The simulation results suggest the GP-based prediction method can be utilized in alarm systems or dispatch systems in an emergency.

• 대기
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• 제33권5호
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• pp.493-503
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• 2023

This study investigates the downward influences of sudden stratospheric warming (SSW) in February 2018 using a subseasonal-to-seasonal forecast model, Global Seasonal forecasting system version 6 (GloSea6). To quantify the influences of SSW on the tropospheric prediction skills, free-evolving (FREE) forecasts are compared to stratospheric nudging (NUDGED) forecasts where zonal-mean flows in the stratosphere are relaxed to the observation. When the models are initialized on 8 February 2018, both FREE and NUDGED forecasts successfully predicted the SSW and its downward influences. However, FREE forecasts initialized on 25 January 2018 failed to predict the SSW and downward propagation of negative Northern Annular Mode (NAM). NUDGED forecasts with SSW nudging qualitatively well predicted the downward propagation of negative NAM. In quantity, NUDGED forecasts exhibit a higher mean squared skill score of 500 hPa geopotential height than FREE forecasts in late February and early March. The surface air temperature and precipitation are also better predicted. Cold and dry anomalies over the Eurasia are particularly well predicted in NUDGED compared to FREE forecasts. These results suggest that a successful prediction of SSW could improve the surface prediction skills on subseasonal-to-seasonal time scale.