• International Journal of Fuzzy Logic and Intelligent Systems
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• v.11 no.4
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• pp.247-253
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• 2011

A sustainability of electricity supply has emerged as a critical issue for low carbon green growth in South Korea. Wind power is the fastest growing source of renewable energy. However, due to its own intermittency and volatility, the power supply generated from wind energy has variability in nature. Hence, accurate forecasting of wind speed and power plays a key role in the effective harvesting of wind energy and the integration of wind power into the current electric power grid. This paper presents a short-term wind speed prediction method based on support vector regression. Moreover, particle swarm optimization is adopted to find an optimum setting of hyper-parameters in support vector regression. An illustration is given by real-world data and the effect of model regularization by particle swarm optimization is discussed as well.

• Communications for Statistical Applications and Methods
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• v.27 no.1
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• pp.97-108
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• 2020

This paper compares several methods for estimating parameters of normal inverse Gaussian distribution. Ordinary maximum likelihood estimation and the method of moment estimation often do not work properly due to restrictions on parameters. We examine the performance of adjusted estimation methods along with the ordinary maximum likelihood estimation and the method of moment estimation by simulation and real data application. We also see the effect of the initial value in estimation methods. The simulation results show that the ordinary maximum likelihood estimator is significantly affected by the initial value; in addition, the adjusted estimators have smaller root mean square error than ordinary estimators as well as less impact on the initial value. With real datasets, we obtain similar results to what we see in simulation studies. Based on the results of simulation and real data application, we suggest using adjusted maximum likelihood estimates with adjusted method of moment estimates as initial values to estimate the parameters of normal inverse Gaussian distribution.

• Journal of Korean Society of Water and Wastewater
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• v.26 no.6
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• pp.861-869
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• 2012

The chlorine's residual concentration prevents the regrowth of microorganism in water transport along the pipeline system. Precise prediction of chlorine concentration is important in determining disinfectant injection for the water distribution system. In this study, a pilot scale water distribution system was designed and fabricated to measure the temporal variation of chlorine concentration for three flow conditions (V = 0.88, 1.33, 1.95 m/s). Various kinetic models were applied to identify the relationship between hydraulic condition and chlorine decay. Genetic Algorithm (GA) was integrated into five kinetic models and time series of chlorine were used to calibrate parameters. Model fitness was compared by Root Mean Square Error (RMSE) between measurement and prediction. Limited first order model and Parallel first order showed good fitness for prediction of chlorine concentration.

• Proceedings of the KSRS Conference
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• 1999.11a
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• pp.227-230
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• 1999

Surface solar radiation over the sea is estimated using Visible and Infrared Spin Scan Radiometer data onbord Geostationary Meteorological Satellite(GMS) 5 for January, 1997 to December 1997 in clear and cloudy conditions. The hourly insolation is estimated with a spatial resolution of 5$\times$ 5 km grid. The island pyranometer belonging to the Japan Meteorological Agency is used for validation of the estimated insolation. It is shown that the estimated hourly insolation has RMSE(root mean square) error of 104 W/$m^2$. The variability of the hourly solar radiation was investigated on 3 areas over seas around Korean Peninsula. The solar radiation of East Sea is similar to Yellow Sea. The maximum value of solar radiation is on June of year. The maximum value in south sea is on August because weather is poor by low pressure and front in June

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.3 no.3
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• pp.8-13
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• 2010

Shape form focus (SFF) is a technique that reconstructs 3D shape of an object using image focus. Although many SFF methods have been proposed, there are still notable inaccuracy effects due to noise and non-optimization of image characteristics. In this paper, we propose a noise filter technique for noise reduction and genetic algorithm (GA) for focus measure optimization. The proposed method is analyzed with a statistical criteria such as Root Mean Square Error (RMSE) and correlation.

• Atmosphere
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• v.15 no.4
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• pp.203-211
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• 2005

One algorithm has been developed for retrieving aerosol optical thickness from GMS-5 visible channel measurements, and then the algorithm was applied for obtaining the geographical distribution of aerosol optical thickness over East Asia during April 2002. Algorithm employs a look-up table based upon radiative transfer calculations with solar geometry, aerosol optical thickness, and surface albedo as inputs. Validation was conducted by comparing retrieved aerosol optical thickness with measured values from ground-based sky radiation measurements at Anmyon Do, Korea. It was found that the correlation coefficient is 0.71 with -0.03 of bias and 0.34 of root mean square error, suggesting that the algorithm developed in this study can be used for estimating aerosol optical thickness in a quantitative sense.

• Atmosphere
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• v.19 no.3
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• pp.289-296
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• 2009

Measurements of the three-dimensional water vapor distribution in the atmosphere are important for forecast and analysis of meteorological phenomenon. In this study, two Global Positioning System (GPS) campaign networks were installed in Jeju Island and Kangwon-do to construct the vertical water vapor profile solely based on GPS measurements. We implemented a layer model to get the wet refractivity profile and compared the result with radiosonde measurements. The result showed that the vertical profiles from GPS and radiosonde agree well. The bias, root-mean-square error (RMSE) and standard deviation of GPS wet refractivities compared with radiosonde measurements were in the range of 6.6~11.1 mm $km^{-1}$, 11.9~13.9 mm $km^{-1}$, and 4.3~12.3 mm $km^{-1}$, respectively.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1995.04a
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• pp.290-300
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• 1995

본 연구는 JPEG(Joint Photographic Experts Group)표준 영상압축 방법을 이용한 원격측정 (remote measuring) 시스템을 다룬다. 많은 디지탈 비디오(digital video)이 응용중에서 주요 어려움은 디지탈 영상(digital image)을 직접적으로 표현하기 위해 필요한 방대한 데이터의 처리문제이다. 그리고 디지탈 영상의 직접적인 사용은 고수준 기억용량(high storage)과 전송비용(transmission costs)으로 인하여 응용상 여러가지 제약조건이 수반되었다. 이런 이유로 인하여 여러가지 영상압축 기법이 개발되어왔으며 본 연구는 정지영상(still pictures)에 대하여 JPEG 표준을 사용한 영상압축과 압축된 영상을 사용하여 실제 제조업의 공정검사에 응용하는 것이다. 수행도 평가척도로서 원래영상과 압축된 영상과의 압축비, 원래영상과 압축된 영상과의 픽셀(pixel)의 회색도 값(gray-level value)의 평균과 RMSE(root mean square error), 그리고 원래영상과 압축된 영상을 원거리(또는 근거리)로 전송하여 전송된 압축영상을 푼 후 두 지점간의 거리 측정에 따르는 실제거리와 측정거리에 대한 오차를 이용하였다.

• Proceedings of the KIEE Conference
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• 2005.07a
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• pp.884-886
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• 2005

본 논문에서는 확장 칼만 필터를 이용하여 직류 모터의 동특성을 실용적으로 모델링하는 방법을 제안한다. 먼저 시험을 통해 모터의 주파수 별 응답 특성을 추출하고 이로부터 확장 칼만 필터를 이용하여 출력 전압의 이득 감쇄와 위상 지연을 추정한다. 추정된 값을 이용하여 모터의 선형 동특성을 모델링하고, 각각의 비선형 요소를 추가시키면서 모델 출력과 실제 시험을 통해 획득한 각속도 출력의 RMSE (Root Mean Square Error)를 최소화시키는 비선형 계수 값을 산출하여 최종적인 직류 모터의 모델을 완성한다.

• Proceedings of the KIEE Conference
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• 2005.07d
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• pp.3096-3098
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• 2005

본 논문에서는 확장 칼만 필터를 이용하여 직류 모터의 동특성을 실용적으로 모델링하는 방법을 제안한다. 먼저 시험을 동해 모터의 주파수 별 응답 특성을 추출하고 이로부터 확장 칼만 필터를 이용하여 출력 전압의 이득 감쇄와 위상 지연을 추정한다. 추정된 값을 이용하여 모터의 선형 동특성을 모델링하고, 각각의 비선형 요소를 추가시키면서 모델 출력과 실제 시험을 통해 획득한 각속도 출력의 RMSE (Root Mean Square Error)를 최소화시키는 비선형 계수 값을 산출하여 최종적인 직류 모터의 모델을 완성한다.