• 제목/요약/키워드: Radiation Prediction

검색결과 536건 처리시간 0.034초

파장별 회체가스중합모델을 이용한 대향류 화염에서의 복사 흡수 예측에 관한 연구 (A Study on the Prediction of Self-absorption in Opposed Flames Using WSGGM-Based Spectral Model)

  • 김욱중
    • 대한기계학회논문집B
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    • 제25권4호
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    • pp.600-609
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    • 2001
  • WSGGM based low-resolution spectral model for calculating radiation transfer in combustion gases is applied to estimate self-absorption of radiation energy in one-dimensional opposed flow flames. Development of such a model is necessary in order to enable detailed chemistry-radiation interaction calculations including self-absorption. Database of band model parameters which can be applied to various one-dimensional opposed flow diffusion and partially premixed flames is created. For the validation of the model and database, low resolution spectral intensities at fuel exit side are calculated and compared with the results of a narrow band model with those based on the Curtis-Godson approximation. Good agreements have been found between them. The resulting radiation model is coupled to the OPPDIF code to calculate the self-absorption of radiant energy and compared with the results of an optically thin calculation and the results of a discrete ordinates method in conjunction with the statistical narrow band model. Significant self-absorption of radiation is found for the flames considered here particularly for the fuel side of the reacting zone. However, the self-absorption does not have significant effects on the flame structure in this case. Even in the case of the low velocity diffusion flame and the partially premixed flame of low equivalence ratio, the effects of self-absorption of radiation on the flame temperature and production of minor species are not significant.

이산화탄소의 적외선 스펙트럼 예측을 위한 복사 데이터베이스 활용 (Application of Radiation Databases for the Prediction of CO2 Infrared Spectrum)

  • 남현재;권오준
    • 한국항공우주학회지
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    • 제43권7호
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    • pp.626-634
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    • 2015
  • 본 연구에서는 이산화탄소의 적외선 스펙트럼을 예측하였다. 이를 위해 필요한 흡수계수는 line-by-line 기법을 적용해 계산하였으며 계산에 필요한 분광상수들은 복사 데이터베이스인 HITEMP2010과 CDSD-4000 데이터베이스를 활용하였다. 이산화탄소가 대표적으로 방출하는 2.7과 4.3, $15{\mu}m$ 밴드 영역에 대해 예측을 수행하였으며 타 연구자가 실험을 통해서 획득한 스펙트럼과 비교하여 결과를 검증하였다. 이산화탄소의 적외선 스펙트럼 예측 결과, 전반적으로 HITEMP2010 기반의 예측값과 CDSD-4000 기반의 예측값이 실험과 잘 일치하는 것을 확인하였으나 $4.3{\mu}m$ 밴드 영역에서는 CDSD-4000 기반의 예측값이 HITEMP2010 기반의 예측값보다 실험값과 더 잘 일치하는 것을 확인하였다.

Prediction Model of the Outer Radiation Belt Developed by Chungbuk National University

  • Shin, Dae-Kyu;Lee, Dae-Young;Kim, Jin-Hee;Cho, Jung-Hee
    • Journal of Astronomy and Space Sciences
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    • 제31권4호
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    • pp.303-309
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    • 2014
  • The Earth's outer radiation belt often suffers from drastic changes in the electron fluxes. Since the electrons can be a potential threat to satellites, efforts have long been made to model and predict electron flux variations. In this paper, we describe a prediction model for the outer belt electrons that we have recently developed at Chungbuk National University. The model is based on a one-dimensional radial diffusion equation with observationally determined specifications of a few major ingredients in the following way. First, the boundary condition of the outer edge of the outer belt is specified by empirical functions that we determine using the THEMIS satellite observations of energetic electrons near the boundary. Second, the plasmapause locations are specified by empirical functions that we determine using the electron density data of THEMIS. Third, the model incorporates the local acceleration effect by chorus waves into the one-dimensional radial diffusion equation. We determine this chorus acceleration effect by first obtaining an empirical formula of chorus intensity as a function of drift shell parameter $L^*$, incorporating it as a source term in the one-dimensional diffusion equation, and lastly calibrating the term to best agree with observations of a certain interval. We present a comparison of the model run results with and without the chorus acceleration effect, demonstrating that the chorus effect has been incorporated into the model to a reasonable degree.

Is FDG -PET-CT A Valuable Tool in Prediction of Persistent Disease in Head and Neck Cancer

  • Uzel, Esengul Kocak;Ekmekcioglu, Ozgul;Elicin, Olgun;Halac, Metin;Uzel, Omer Erol
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권8호
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    • pp.4847-4851
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    • 2013
  • Objectives: To evaluate accuracy of FDG-PET CT in prediction of persistent disease in head and neck cancer cases and to determine prognostic value of metabolic tumor response. Materials and Methods: Between 2009 and 2011, 46 patients with squamous cell carcinoma of head and neck receiving PET-CT were treated with definitive radiotherapy, with or without chemotherapy. There were 29 nasopharyngeal, 11 hypopharyngeal, 3 oropharyngeal and 3 laryngeal cancer patients, with a median age of 50.5 years (range 16-84), 32 males and 14 females. All patients were evaluated with PET-CT median 3-5 months (2.4-9.4) after completion of radiotherapy. Results: After a median 20 months of follow up, complete metabolic response was observed in 63% of patients. Suspicious residual uptake was present in 10.9% and residual metabolic uptake in 26.0% of patients. The overall sensitivity, specificity, positive predictive value and negative predictive value of FDG-PET-CT for detection of residual disease was 91% and 81%, 64% and 96% respectively. Two year LRC was 95% in complete responders while it was 34% in non-complete responders. Conclusions: FDG PET CT is a valuable tool for assessment of treatment response, especially in patients at high risk of local recurrence, and also as an indicator of prognosis. Definitely more precise criteria are required for assessment of response, there being no clear cut uptake value indicating residual disease. Futhermore, repair processes of normal tissue may consume glucose which appear as increased uptake in control FDG PET CT.

위성자료 기반의 단층태양복사모델을 이용한 한반도 태양-기상자원지도 개발 (Development of Solar-Meteorological Resources Map using One-layer Solar Radiation Model Based on Satellites Data on Korean Peninsula)

  • 지준범;최영진;이규태;조일성
    • 한국신재생에너지학회:학술대회논문집
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    • 한국신재생에너지학회 2011년도 추계학술대회 초록집
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    • pp.56.1-56.1
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    • 2011
  • The solar and meteorological resources map is calculated using by one-layer solar radiation model (GWNU model), satellites data and numerical model output on the Korean peninsula. The Meteorological input data to perform the GWNU model are retrieved aerosol optical thickness from MODIS (TERA/AQUA), total ozone amount from OMI (AURA), cloud fraction from geostationary satellites (MTSAT-1R) and temperature, pressure and total precipitable water from output of RDAPS (Regional Data Assimilation and Prediction System) and KLAPS (Korea Local Analysis and Prediction System) model operated by KMA (Korea Meteorological Administration). The model is carried out every hour using by the meteorological data (total ozone amount, aerosol optical thickness, temperature, pressure and cloud amount) and the basic data (surface albedo and DEM). And the result is analyzed the distribution in time and space and validated with 22 meteorological solar observations. The solar resources map is used to the solar energy-related industries and assessment of the potential resources for solar plant. The National Institute of Meteorological Research in KMA released $4km{\times}4km$ solar map in 2008 and updated solar map with $1km{\times}1km$ resolution and topological effect in 2010. The meteorological resources map homepage (http://www.greenmap.go.kr) is provided the various information and result for the meteorological-solar resources map.

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Visipaque 조영제에서 1H-NMR Spectroscopy와 1H-NMR Spectrum 예측 프로그램의 화학적 구조 비교분석 (Comparative Analysis of The Chemical Structure of 1H-NMR Spectroscopy and 1H-NMR Spectrum Prediction Program in Visipaque Contrast Agent)

  • 한범희
    • 한국방사선학회논문지
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    • 제18권5호
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    • pp.499-508
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    • 2024
  • Visipaque 조영제 대상으로 1H-NMR Spectrometer를 이용한 스펙트럼 분석과 1H-NMR 스펙트럼 예측 프로그램을 이용하여 분석한 결과, 2.18 ppm영역과 2.17 ppm영역에서 분자구조 위치는 서로 상이하게 나타났다. 2.25 ppm영역과 2.34 ppm영역은 Spectrometer를 이용한 스펙트럼 분석에서는 나타나지 않았고, 예측 프로그램을 이용한 분석에서는 나타났다. 또한 2.58 ppm영역은 Spectrometer를 이용한 스펙트럼 분석에서는 나타났고, 예측 프로그램을 이용하여 분석에서는 나타나지 않았다. 4.42 ppm영역은 Spectrometer를 이용한 스펙트럼 분석에서는 나타나지 않았고, 예측 프로그램을 이용하여 분석에서는 나타났다. 그리고 5.61 ppm영역은 Spectrometer를 이용한 스펙트럼 분석에서는 나타났고, 예측 프로그램을 이용하여 분석에서는 나타나지 않았다. 이를 바탕으로 예측 프로그램을 이용하여 참고로 분석한다면 좀 더 명확한 화학구조를 파악할 수 있을 것으로 사료된다.

연안역 개발에 따른 해안과정의 변화 (The Change of Nearshore Processes due to the Development of Coastal Zone)

  • 이중우;이상진;이호;정대득
    • 한국항만학회지
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    • 제13권1호
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    • pp.155-166
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    • 1999
  • The construction of the coastal structures and reclamation work causes the circulation reduced in the semi-closed inner water area and the unbalanced sediment budget of beach results in an alteration of beach topography. Among the various fluid motions in the nearshore zone water particle motion due to wave and wave-induced currents are the most responsible for sediment movement. Therefore it is needed to predict the effect of the environmental change because of development and so the prediction of wave transformation dose. The purpose of this study is to introduce the relation between waves wave-induced currents and sediment movement. In this study we will show numerical method using energy conservation equation involving reflection diffraction and reflection and the surfzone energy dissipation term due to wave breaking is included in the basic equation. For the wave-induced current the momentum equation was combined with radiation stresses lateral mixing and friction Various information is required in the prediction of wave-induced current depending on the prediction tool. We can predict changes in wave-induced current from the distribution of wave especially near the wave breaking zone. To evaluate these quantities we have to know the local condition of waves mean sea level and so on. The results from the wave field and wave-induced current field deformation models are used as input data of the sediment transport and bottom change model. Numerical model were established by a finite difference method then were applied to the development plan of the eastern Pusan coastal zone Yeonhwa-ri and Daebyun fishing port. We represented the result with 2-D graphics and made comparison between before and after development.

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한국형수치예보모델 자료동화에서 위성 복사자료 관측오차 진단 및 영향 평가 (Diagnostics of Observation Error of Satellite Radiance Data in Korean Integrated Model (KIM) Data Assimilation System)

  • 김혜영;강전호;권인혁
    • 대기
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    • 제32권4호
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    • pp.263-276
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    • 2022
  • The observation error of satellite radiation data that assimilated into the Korean Integrated Model (KIM) was diagnosed by applying the Hollingsworth and Lönnberg and Desrozier techniques commonly used. The magnitude and correlation of the observation error, and the degree of contribution for the satellite radiance data were calculated. The observation errors of the similar device, such as Advanced Technology Microwave Sounder (ATMS) and Advanced Microwave Sounding Unit-A shows different characteristics. The model resolution accounts for only 1% of the observation error, and seasonal variation is not significant factor, either. The observation error used in the KIM is amplified by 3-8 times compared to the diagnosed value or standard deviation of first-guess departures. The new inflation value was calculated based on the correlation between channels and the ratio of background error and observation error. As a result of performing the model sensitivity evaluation by applying the newly inflated observation error of ATMS, the error of temperature and water vapor analysis field were decreased. And temperature and water vapor forecast field have been significantly improved, so the accuracy of precipitation prediction has also been increased by 1.7% on average in Asia especially.

우리나라 지역별 청명도 예측 모델을 이용한 월평균 수평면 일사량 산출 (Generation of monthly averaged horizontal Radiation based on a regional clearness estimating model)

  • 김진효;김민휘;권오현;석윤진;정재원
    • 한국태양에너지학회 논문집
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    • 제30권2호
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    • pp.72-80
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    • 2010
  • The main thrust of this paper is to investigate a practical way of generating the monthly averaged daily horizontal solar radiation in Korea. For estimating the horizontal solar radiation, the clearness index($K_T$) and the clearness number($C_N$) which are required for the use of Liu and Jordan's model and ASHRAE Clear Sky model were derived based on the measured weather data. Third-order polynomials returning $K_T$ and��$C_N$ for a given location were derived as a function of cloud amount, month, date, latitude and longitude. The predicted monthly averaged daily horizontal solar radiation values were compared with those acquired from the established design weather data. The MBE(Mean Bias Error) and RMSE (Root Mean Squares for Error) between the predicted values and the measured data were near zero. It means that the suggested third-order polynomials for $K_T$ and $C_N$ have good applicability to Liu and Jordan's model and ASHRAE Clear Sky model.

Predicting Organic Matter content in Korean Soils Using Regression rules on Visible-Near Infrared Diffuse Reflectance Spectra

  • Chun, Hyen-Chung;Hong, Suk-Young;Song, Kwan-Cheol;Kim, Yi-Hyun;Hyun, Byung-Keun;Minasny, Budiman
    • 한국토양비료학회지
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    • 제45권4호
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    • pp.497-502
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    • 2012
  • This study investigates the prediction of soil OM on Korean soils using the Visible-Near Infrared (Vis-NIR) spectroscopy. The ASD Field Spec Pro was used to acquire the reflectance of soil samples to visible to near-infrared radiation (350 to 2500 nm). A total of 503 soil samples from 61 Korean soil series were scanned using the instrument and OM was measured using the Walkley and Black method. For data analysis, the spectra were resampled from 500-2450 nm with 4 nm spacing and converted to the $1^{st}$ derivative of absorbance (log (1/R)). Partial least squares regression (PLSR) and regression rules model (Cubist) were applied to predict soil OM. Regression rules model estimates the target value by building conditional rules, and each rule contains a linear expression predicting OM from selected absorbance values. The regression rules model was shown to give a better prediction compared to PLSR. Although the prediction for Andisols had a larger error, soil order was not found to be useful in stratifying the prediction model. The stratification used by Cubist was mainly based on absorbance at wavelengths of 850 and 2320 nm, which corresponds to the organic absorption bands. These results showed that there could be more information on soil properties useful to classify or group OM data from Korean soils. In conclusion, this study shows it is possible to develop good prediction model of OM from Korean soils and provide data to reexamine the existing prediction models for more accurate prediction.