• Title/Summary/Keyword: 구조 오차

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Flood Simulation with the Variation of Runoff Coefficient in Tank Model (탱크모형의 流出孔 乘數 변화를 고려한 홍수모의)

  • Lee, Sang-Ho
    • Journal of Korea Water Resources Association
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    • v.31 no.1
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    • pp.3-12
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    • 1998
  • Rainfall intensity under storms affects peak discharge or its time of occurrence in watershed runoff. Thus, it is reasonable to reflect the effect on the parameters of rainfall-runoff models or the governing equations of the models. This paper relates the change of the runoff coefficient of the first tank in tank model to rainfall intensity under storms. The standard four tanks have made the basic structure of the flood event model. and its modifications are as follows: it has two equal runoff coefficients in the first tank: the runoffs from first and second tanks produce delayed response through a simple delaying parameter. Applying the event simulation model to flood data from Naerinchon. runoff coefficients were estimated and their relation to rainfall intensity was analyzed. The results showed the Weak relation of the two factors. The trend of the two was fitted with the equation a1=kI$. where a1is the runoff coefficient of the first tank: I is rainfall intensity; k and m are fitting coefficients. In the verification. the model used moving averages for the calculation of I(t). If the value I(t) gave more greater value of a1(t) than that of previous time(t-1). the flood simulation was performed again from the beginning with the updated greater value of a1. The reflection of rainfall intensity on the runoff coefficient showed far better results than that of a fixed parameter.

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Evaluation of Surface water-Groundwater Interaction for the Kap-Stream Basin (갑천 유역의 지표수-지하수 상호작용 평가)

  • Hong, Sung-Hun;Kim, Jeong-Kon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2007.05a
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    • pp.503-507
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    • 2007
  • 지하수 유동 모델에 반영되는 유역의 수리지질학적, 수문학적 특징들은 지하수 유동 특성에 주요한 영향을 미칠 수 있는 현장 특성들이다. 상기 특징들을 최대한 반영하기 위하여 438개의 관정자료를 토대로 갑천 유역(유역 면적 $648.3km^2$)의 대수층 구조 특성을 분석하고, 24개의 하천 자료를 이용하여 지하수 유동 모델을 구축하였다. 그리고 검 보정된 준분포형 유출모형(SWAT)의 22개 소유역의 지하수 함양량 결과를 3차원 지하수 유동 모델(MODFLOW)과 연계하여 갑천 유역의 광역 지하수 유동 특성을 평가하였다. 모의된 지하수위와 86개 지하수 관측정의 지하수위 비교에서 결정계수는 0.9918, 유역 전체의 물교환량의 상대오차율이 약 0.57%로 갑천 유역의 지하수 유동 특성을 잘 반영하였다. 갑천 유역의 지하수는 지형 및 대수층 특성과 하천의 영향에 의하여 전반적으로 유역 남쪽에서 북쪽으로 유동하는데 산지 지역에 존재하는 하천들은 손실과 이득 하천의 형태를 반복하는 반면, 갑천 중 하류 부분과 갑천-유등천 합류 부근은 이득하천의 형태를 보이고 있다. 그리고 소유역별 지하수 물교환량 분석한 결과, 상기 지역을 포함하는 소유역의 하천 공급원이 해당 유역의 지하수 함양량보다 지하수 유동 체계에 따라 인근 소유역에서 공급되는 지하수 유입량 비율이 훨씬 높은 것으로 분석되었다. 반면 유등천 중 상류 지역의 소유역을 제외한 산지 지역의 경우는 하천 공급원이 지하수 유동 체계에 의한 유입량보다 해당 유역 내에서 공급되는 지하수 함양량 비율이 높은 것으로 분석되었다. 따라서 지표수와 지하수의 상호작용 및 하천 유출에 지하수 유동 특성이 주요한 영향을 미치는 것으로 평가되었다.ens 4.4% (2.19)로 나타났다. 4. 全모기類의 月別 捕獲個體數에 對한 百分率은 다음과 같다. 5月 : 0.1% (1981年), 0.0% (1982年); 6月 : 3.5%, 1.3%; 7月 : 50.0%, 33.9%; 8月 : 37.1%, 52.1%; 9月 : 8.8%, 11.9%; 10月 : 0.5%, 0.8%; 11月 : 0.1%. 5. 모기類의 出現은 1981年과 1982年 모두 5月初로서 共通性을 지니고 있으나 增加勢를 보이는 것은 다르게 나타났다. 즉, 1981年은 6月 첫째 週이고 1982年은 前年度보다 3週 앞당겨진 5月 둘째 週였다. 6. 發生最大 peak는 1981年이 7月 다섯째 週이고, 1982年은 2週가 늦은 8月 둘째 週였다. 7. Culex (Culex) pipiens pallens의 最大發生 peak는 1981年度에 7月 다섯째 週, 1982年度는 2週 앞당겨진 7月 셋째 週였다. 8. Culex (Culex) tritaeniorhynchus summoro년의 最大發生 peak는 1981年, 1982年 모두 8月 둘째 週였다. 9. Anopheles (Anopheles) sinensis의 最大發生 peak는 1981年에 7月 다섯째 週, 1982年은 2週 앞당겨진 7月 셋째 週였다. 10. 重要 3種의 最大 peak를 比城하면 Culex (Culex) pipiens pallens와 Anopheles (Anopheles) sinensis는 1981年과 1982年 모두 最大 peak時期가 同一하였으며, Culex (Culex) tritaeniorhynchus summoro년는 2年間 모두 8月둘째 週에 나타났다.osterior to manubrium and anterio

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Application of Artificial Neural Networks for Prediction of the Unconfined Compressive Strength (UCS) of Sedimentary Rocks in Daegu (대구지역 퇴적암의 일축압축강도 예측을 위한 인공신경망 적용)

  • Yim Sung-Bin;Kim Gyo-Won;Seo Yong-Seok
    • The Journal of Engineering Geology
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    • v.15 no.1
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    • pp.67-76
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    • 2005
  • This paper presents the application of a neural network for prediction of the unconfined compressive strength from physical properties and schmidt hardness number on rock samples. To investigate the suitability of this approach, the results of analysis using a neural network are compared to predictions obtained by statistical relations. The data sets containing 55 rock sample records which are composed of sandstone and shale were assembled in Daegu area. They were used to learn the neural network model with the back-propagation teaming algorithm. The rock characteristics as the teaming input of the neural network are: schmidt hardness number, specific gravity, absorption, porosity, p-wave velocity and S-wave velocity, while the corresponding unconfined compressive strength value functions as the teaming output of the neural network. A data set containing 45 test results was used to train the networks with the back-propagation teaming algorithm. Another data set of 10 test results was used to validate the generalization and prediction capabilities of the neural network.

Empirical Modeling for Cache Miss Rates in Multiprocessors (다중 프로세서에서의 캐시접근 실패율을 위한 경험적 모델링)

  • Lee, Kang-Woo;Yang, Gi-Joo;Park, Choon-Shik
    • Journal of KIISE:Computer Systems and Theory
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    • v.33 no.1_2
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    • pp.15-34
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    • 2006
  • This paper introduces an empirical modeling technique. This technique uses a set of sample results which are collected from a few small scale simulations. Empirical models are developed by applying a couple of statistical estimation techniques to these samples. We built two types of models for cache miss rates in Symmetric Multiprocessor systems. One is for the changes of input data set size while the specification of target system is fixed. The other is for the changes of the number of processors in target system while the input data set size is fixed. To develop accurate models, we built individual model for every kind of cache misses for each shared data structure in a program. The final model is then obtained by integrating them. Besides, combined use of Least Mean Squares and Robust Estimations enhances the quality of models by minimizing the distortion due to outliers. Empirical modeling technique produces extremely accurate models without analysis on sample data. In addition, since only snail scale simulations are necessary, once a set of samples can be collected, empirical method can be adopted in any research areas. In 17 cases among 24 trials, empirical models present extremely low prediction errors below $1\%$. In the remaining cases, the accuracy is excellent, as well. The models sustain high quality even when the behavioral characteristics of programs are irregular and the number of samples are barely enough.

Shipboard Active Phased Array Antenna System for Satellite Communications (위성 통신용 선박 탑재 능동 위상배열 안테나 시스템)

  • 전순익;채종석;오승엽
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.13 no.10
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    • pp.1089-1097
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    • 2002
  • In this paper, the novel shipboard Active Phased Array Antenna(APAA) system for maritime mobile satellite communications is introduced. The antenna uses novel technologies like wide range hybrid tracking, single antenna elements with both of Rx and Tx, asymmetrical array structure, interference isolation between Rx and Tx, and error correction method from frequency scan effect. The antenna has single aperture for both of Rx and Tx with 32 $\times$ 4 two-dimensional array. The antenna has two beams. Its frequencies are 7.25 ~ 7.75 GHz for Rx and 7.9 ~ 8.4 GHz for Tx. The antenna gains are 35.4 dBi for Rx and 35.7 dBi for Tx, those are 54 % of efficiency. The electrically steering ranges are $\pm$35$^{\circ}$ of elevation direction and $\pm$4$^{\circ}$ of azimuth direction. The mechanical control ranges at hybrid tracking capability are continuous 360$^{\circ}$ of azimuth direction and $\pm$10$^{\circ}$ of elevation direction. The antenna has 2.2$^{\circ}$ of 3 dB beamwidth, -14 dB of sidelobe level, and 21 dB of cross-pol suppression. The antenna performance was measured by near field measurement set. Its system performance was tested on the ship motion simulator and with the satellite transponder simulator. The test result showed that its tracking error was within -3 dB from its peak gain under motion condition. The antenna system was tested by real modulated Direct Broadcasting Satellite(DBS) signals to check its communication processing function.

Automatic Determination of the Azimuth Angle of Reflectors in Borehole Radar Reflection Data Using Direction-finding Antenna (방향탐지 안테나를 이용한 시추공 레이다 반사법 탐사에 있어서 반사층 방위각의 자동 결정)

  • Kim Jung-Ho;Cho Seong-Jun;Yi Myeong-Jong;Chung Seung-Hwan
    • Geophysics and Geophysical Exploration
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    • v.1 no.3
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    • pp.176-182
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    • 1998
  • The borehole radar reflection survey can image the underground structure with high resolution, however, we cannot get any information on the orientation of the reflectors with dipole antenna alone. The direction-finding antenna system is commonly used to give the solution to the problem. However, the interpretation of the data from direction- finding antenna may be time-consuming, and sometimes have ambiguities in the sense of precise determination of the azimuth. To solve the problem, we developed the automatic azimuth finding scheme of reflectors in borehole radar reflection data using direction-finding antenna. The algorithm is based on finding the azimuthal angle possibly showing the maximum reflection amplitude in the least-squared error sense. The developed algorithm was applied to the field data acquired in quarry mine. It was possible to locate nearly all of the reflectors in three dimensional fashion, which coincide with the known geological structures and man-made discontinuities.

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Magnetic anomaly in the southern part of the Yellow Sea (서해남부해역의 지자기 이상대 해석)

  • Kim, Sung-Bae;Choi, Sung-Ho;Suh, Man-Cheol
    • 한국지구물리탐사학회:학술대회논문집
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    • 2008.10a
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    • pp.85-92
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    • 2008
  • National Oceanographic Research Institute is carrying out an oceanographic survey for the entire sea areas around Korean Peninsula annually starting with the East Sea from 1996 by establishing a national oceanographic basic map survey plan for the sea areas under the jurisdiction of Korea, so this paper used the oceanographic geomagnetism data measured at the southern area of the Yellow Sea using 'Hae Yang 2000' in 1999, aiming at clarifying the cause of geomagnetic abnormality zone during the course of treating and analyzing the geomagnetic data. For treatment of magnetic data, we obtained electromagnetic force values and geomagnetic abnormality values around the investigated sea area through a process of searching and removal of bad data, correction of sensor positions, correction of magnetic field effects around the hull, correction of diurnal variation, normal correction, correction of cross point errors, etc. The electromagnetic force distribution around the investigated sea area was $49000\;{\sim}\;51600\;nT$, which is judged to be within the normal electromagnetic force intensity distribution range around the Yellow Sea. The isodynamic lines are distributed in Northeast-Southwest direction, and electromagnetic force values are increasing toward the northwest. The result of comparing the magnetic abnormality around the sea area among $124^{\circ}$ 49' 48" E, $35^{\circ}$ 10' 48" N $\sim$ $125^{\circ}$ 7' 48" E, and $35^{\circ}$ 33' 00" N sections with the elastic wave cross section and the result of modeling coincide well with the underground geological structure clarified from the existing elastic wave survey cross section. Therefore, it is judged that the distribution of magnetic force abnormality generally shows the effect pursuant to the distribution of the sedimentary basins in the Tertiary period and the bedrocks in the Cretaceous period which are well developed in the bottom of the sea.

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Compact Design and Fabrication of 'Improved QS-MMI' Demultiplexer (Improved QS-MMI' 1.31/1.55μm 파장분리기의 최적화 설계 및 제작)

  • Kim, Nam-Kook;Kim, Jang-Kyum;Choi, Chul-Hyun;O, Beom-Hoan;Lee, Seung-Gol;Park, Se-Gun;Lee, El-Hang
    • Korean Journal of Optics and Photonics
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    • v.16 no.3
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    • pp.248-253
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    • 2005
  • We designed and fabricated a compact multi-mode interference (MMI) wavelength demultiplexer using the concept of 'Improved Quasi-State' modes. The output power and extinction ratio were improved by utilizing modal phase error which is specially occurred in low-index contrast. For a designed demultiplexer, the mode propagation analysis with effective index approximation shows significant improvement of extinction ratio to -25 dB for both $1.31{\mu}m\;and\;1.51{\mu}m$ wavelength region and the split-length was reduced about 1/5 of other MMI devices. The fabricated device shows successful characteristics for both 1.31 and $1.55{\mu}m$ wavelengths. These results demonstrate the potential of low-index materials system and the embossing process for photonic integrated circuits.

Variation of Determinant Factor for Seoul Metropolitan Area's Housing and Rent Price in Korea (수도권 주택가격 결정요인 변화 연구)

  • Lee, Kyung-Ae;Park, Sang-Hak;Kim, Yong-Soon
    • Land and Housing Review
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    • v.4 no.1
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    • pp.43-54
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    • 2013
  • This This paper investigates the variation of the factors to determinate housing price in Seoul metropolitan area after sub-prime financial crisis, in Korea, using a VAR model. The model includes housing price and housing rent (Jeonse) in Seoul metropolitan area from 1999 to 2011, and uses interest rate, real GDP, KOSPI, Producer Price Index and practices to impulse response and variance decomposition analysis to grasp the dynamic relation between a variable of macro economy and and a variable of housing price. Data is classified to 2 groups before and after the 3rd quater of 2008, when sub-prime crisis occurred; one is from the 1st quater of 1999 to the 3rd quater of 2008, and the other is from the 2nd quater of 1999 and the 4th quater of 2011. As a result, comparing before and after sub-prime crisis, housing price is more influenced by its own variation or Jeonse price's variation instead of interest rate and KOSPI. Both before and after sub-prime financial crisis, Jeonse price is also influenced by its own variation and housing price. While after sub-prime financial crisis, influences of Producer Price Index, KOSPI and interest rate were weakened, influence of real GDP is expanded. As housing price and housing rent are more influenced by real economy factors such as GDP, its own variation than before sub-prime financial crisis, the recent trend that the house prices is declined is difficult to be converted, considering domestic economic recession and uncertainty, continued by Europe financial crisis. In the future to activate the housing business, it ia necessary to promote purchasing power rather than relaxation of financial and supply regulation.

Seismic Traveltime Tomography using Neural Network (신경망 이론을 이용한 탄성파 주시 토모그래피의 연구)

  • Kim, Tae-Yeon;Yoon, Wang-Jung
    • Geophysics and Geophysical Exploration
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    • v.2 no.4
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    • pp.167-173
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    • 1999
  • Since the resolution of the 2-D hole-to-hole seismic traveltime tomography is affected by the limited ray transmission angle, various methods were used to improve the resolution. Linear traveltime interpolation(LTI) ray tracing method was chosen for forward-modeling method. Inversion results using the LTI method were compared with those using the other ray tracing methods. As an inversion algorithm, SIRT method was used. In the iterative non-linear inversion method, the cost of ray tracing is quite expensive. To reduce the cost, each raypath was stored and the inversion was performed from this information. Using the proposed method, fast convergence was achieved. Inversion results are likely to be affected by the initial velocity guess, especially when the ray transmission angle was limited. To provide a good initial guess for the inversion, generalized regression neural network(GRNN) method was used. When the transmitted raypath angle is not limited or the geological model is very complex, the inversion results are not affected by initial velocity model very much. Since the raypath angles, however, are limited in most geophysical tomographic problems, the enhancement of resolution in tomography can be achieved by providing a proper initial velocity model by another inversion algorithm such as GRNN.

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