• Title/Summary/Keyword: 매개변수화

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Runoff Analysis Using the Discrete, Linear, Input-Output Model (선형 이산화 입력-출력 모형에 의한 유출해석)

  • Kwak, Ki Seok;Kang, In Shik;Jeong, Yeon Tae;Kang, Ju Bok
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.14 no.4
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    • pp.859-866
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    • 1994
  • It is difficult to make an exact estimate of the peak discharge or the runoff depth of flood and establish the proper measure for the flood protection since the water stage or discharge has been nearly measured at most medium or small river basins. The objective of this study is to estimate parameters of the discrete, linear, input-output model for medium or small river basin. The On-Cheon River basin in Pusan was selected for the study area. The runoff data used in the study has been observed since June 1993, and the effective rainfall was determined using the storage function method. The parameter sets of the discrete, linear, input-output model were estimated using the least squares method and the correlation function method, respectively. The calculated hydrographs by the discrete, linear, input-output model regenerated the observed outflow hydrographs well, and also the simulated flood hydrograph was comparable to the observed one. Therefore, it is believed that the discrete, linear, input-output model is simpler than other runoff analysis methods, and can be applied to a medium or small river basin.

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Definition and Implementation of Image Enhancement Techniques for Efficient Binarization (효과적인 이진화를 위한 영상개선기법의 정의 및 구현)

  • Choe, Gyeong-Ju;Byeon, Hye-Ran;Lee, Il-Byeong
    • Journal of KIISE:Software and Applications
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    • v.26 no.2
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    • pp.284-296
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    • 1999
  • 문자 인식 및 영상 인식 분야의 대부분의 연구들은 이진영상(binary image)을 바탕으로 이루어진다. 하지만, 입력영상에서 보다 많은 정보를 얻기 위해 명도영상(grayscale image) 으로 입력받아 필요한 정보를 추출한후 이진영상으로 변환하여 처리하는 방법도 많이 사용되고 있다. 이런 경우, 명도영상으로부터의 보다 깨끗한 이진영상의 획득 여부는 시스템의 성능과도 밀접한 관계가 있다. 본 논문에서는 기존의 대부분의 이진화 방법과는 달리, 실제 이진화를 수행하기 이전에 여러 가지 필터링 기법을 사용하여 영상의 질을 개선시키는 영상개선기법을 사용한후, 기존의 이진화방법을 사용하여 명도영상을 이진화하는 방법을 제안하고자 한다. 영상의 질을 개선시키기 위해서 BM 필터링, 경게선 개선 필터링, Erosion필터링 방법을 사용하였으며 , 기존의 이진화방법으로는 전역적 이진화 방법중 하나로써 클래스간 분산을 이용한 Ostu 방법[1]을 사용하였다. 다양한 종류의 문서를 대상으로 실험하였는데 평가실험에 사용된 영상은 문서 특성에 따라 균일하지 않은 배경을 가진 영상, 순수하게 텍스트로만 구성된 영상, 선성분이 많으며 명도값이 다양하게 나타나는 영상, 텍스트와 선성분이 함께있는 영상 등 크게 4가지 부류로 구분하였고, 평가대상 영상에 대해 매개변수의 개수, 끊어진/잃어버린 /뭉게진 물체가 적은 정도, 실행속도, 매개변수 결정의 용이성, 잡영이 적은 정도를 평가기준으로 선정한 후, 정량적인 평가가 어려운 항목에 대해서는 9개의 등급으로 나누어 이진화 된 영상의 특성을 분석, 평가하였다.

A Restoration of Degraded Medicine Images Based on Optimized Parametric Wiener Filter (최적화된 매개변수 위너필터를 이용한 훼손된 의료영상의 복원)

  • Shin, Choong-Ho;Jung, Chai-Yeoung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.5
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    • pp.1055-1063
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    • 2012
  • The noise of image is added by many environmental factors. Therefore, we need to remove these noises using the conventional filtering methods, which are optimized based on the statistical characteristic of noise. In direct restoration method, there is an inverse filter and the wiener filter. Here, the wiener filter is the optimized filter in the view of least square method. First, we are going to study the inverse filter, wiener filter, constraint least square filter. Second, in order to control the quantity, we use the parameters instead of the power spectrum ratio. But, these parameters have the conflicting condition, therefore, we optimized the variables using parametric wiener filter which adjust the application appropriately. In the simulation results, the contrast of the degraded image was enhanced and the noise was removed. Comparative experimentation was demonstrated edge preserving and noise removing property.

The Study on A Quantification for Warnning Criteria Investigation of Automated Rainfall Warning System (자동우량경보시설 경보발령기준 정량화에 관한 연구)

  • Choo, Tai-Ho;Jeong, In-Ju;Kim, Kyu-Hyeon;Kim, Eun-Soo
    • Proceedings of the Korea Water Resources Association Conference
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    • 2012.05a
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    • pp.232-236
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    • 2012
  • 본 연구에서는 산간계곡의 경보발령기준의 고도화를 위하여 Clark 유출모형에 의한 단위도를 산정하고 연구대상유역의 강우패턴을 분석하여 강우분포를 적용하였다. 강우량적용에 있어서 유효우량을 산정해야 하며 유효우량 산정시 유출곡선지수(CN)를 산정하여 적용해야 하는데 발령기준우량을 산정하는데 CN값 등의 관계매개변수에 민감하게 반응하는 것으로 분석되었다. 따라서 본 연구에서는 유역특성에 따른 경보발령기준우량과 CN값의 민감도를 분석하여 자동우량경보시설 경보발령기준우량을 결정하는 신뢰도를 향상시켜 소음에 대한 피해를 줄이고 인명피해를 예방하는데 도움을 주고자 한다. 또한 경보발령기준우량을 산정하기 위한 정량적인 방법을 제시하므로서 지역특성에 맞는 경보발령기준우량을 결정하는데 수문학적 매개변수를 제시하였다.

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Prompt Fission Neutron Spectra in Supercritical Accidents (Influence on the Fission Spectrum-averaged cross-sections of Some Threshold Activation Reactions)

  • Ro, Seung-Gy;Jun, Jae-Shik
    • Nuclear Engineering and Technology
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    • v.7 no.2
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    • pp.119-126
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    • 1975
  • On the assumption that the spectral distribution of prompt fission neutrons released from supercritical accidents can be expressed by the generalized Cranberg form with two spectral parameters, which is then transformed into the single parameter form, a variation of the fission spectrum-averaged cross-sections for some threshold reactions with varying the spectral parameter has teen calculated using an electronic computer. It appears that the average cross-sections are very sensitive to the spectral deformation, especially those for the detectors having the threshold at high neutron energy are high compared to those for the detectors of which the threshold energies are comparatively low.

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Automatic Selection of Optimal Parameter for Baseline Correction using Asymmetrically Reweighted Penalized Least Squares (Asymmetrically Reweighted Penalized Least Squares을 이용한 기준선 보정에서 최적 매개변수 자동 선택 방법)

  • Park, Aaron;Baek, Sung-June;Park, Jun-Qyu;Seo, Yu-Gyung;Won, Yonggwan
    • Journal of the Institute of Electronics and Information Engineers
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    • v.53 no.3
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    • pp.124-131
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    • 2016
  • Baseline correction is very important due to influence on performance of spectral analysis in application of spectroscopy. Baseline is often estimated by parameter selection using visual inspection on analyte spectrum. It is a highly subjective procedure and can be tedious work especially with a large number of data. For these reasons, it is an objective and automatic procedure is necessary to select optimal parameter value for baseline correction. Asymmetrically reweighted penalized least squares (arPLS) based on penalized least squares was proposed for baseline correction in our previous study. The method uses a new weighting scheme based on the generalized logistic function. In this study, we present an automatic selection of optimal parameter for baseline correction using arPLS. The method computes fitness and smoothness values of fitted baseline within available range of parameters and then selects optimal parameter when the sum of normalized fitness and smoothness gets minimum. According to the experimental results using simulated data with varying baselines, sloping, curved and doubly curved baseline, and real Raman spectra, we confirmed that the proposed method can be effectively applied to optimal parameter selection for baseline correction using arPLS.

Impacts assessment of Climate change on hydrologic cycle changes in North Korea based on RCP climate change scenarios I. Development of Long-Term Runoff Model Parameter Estimation for Ungauged Basins (RCP 기후변화시나리오를 이용한 미래 북한지역의 수문순환 변화 영향 평가 I. 미계측유역의 장기유출모형 매개변수 추정식 개발)

  • Jeung, Se Jin;Kang, Dong Ho;Kim, Byung Sik
    • Journal of Wetlands Research
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    • v.21 no.spc
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    • pp.28-38
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    • 2019
  • Climate change on the Korean peninsula is progressing faster than the global average. For example, typhoons, extreme rainfall, heavy snow, cold, and heatwave that are occurring frequently. North Korea is particularly vulnerable to climate change-related natural disasters such as flooding and flooding due to long-term food shortages, energy shortages, and reckless deforestation and development. In addition, North Korea is classified as an unmeasured area due to political and social influences, making it difficult to obtain sufficient hydrologic data for hydrological analysis. Also, as interest in climate change has increased, studies on climate change have been actively conducted on the Korean Peninsula in various repair facilities and disaster countermeasures, but there are no cases of research on North Korea. Therefore, this study selects watershed characteristic variables that are easy to acquire in order to apply localization model to North Korea where it is difficult to obtain observed hydrologic data and estimates parameters based on meteorological and topographical characteristics of 16 dam basins in South Korea. Was calculated. In addition, as a result of reviewing the applicability of the parameter estimation equations calculated for the fifty thousand, Gangneungnamdaecheon, Namgang dam, and Yeonggang basins, the applicability of the parameter estimation equations to North Korea was very high.

Automatic Mesh Generation on Poorly Parameterized NURBS Surfaces (불균일한 매개변수로 정의된 NURBS 곡면에서의 요소망 자동 생성)

  • 채수원;박정민
    • Journal of the Korean Society for Precision Engineering
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    • v.20 no.6
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    • pp.189-196
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    • 2003
  • The NURBS surfaces are widely employed for exchanging geometric models between different CAD/CAE systems. However if the input NURBS surfaces are poorly parameterized, most surface meshing algorithms may fail or the constructed meshes can be ill-conditioned. In this paper presents a new method is presented that can generate well conditioned meshes even on poorly parameterized NURBS surfaces by regenerating NURBS surfaces. To begin with, adequate points are sampled on original poorly parameterized surfaces and new surfaces are created by interpolating these points. And then, mesh generation is performed on new surfaces. With this method, models with poorly parameterized NURBS surfaces can be meshed successfully.