• Journal of Electrical Engineering and Technology
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• 제12권2호
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• pp.689-700
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• 2017

This paper presents an effective approach for wind turbine (WT) condition assessment based on the data collected from wind farm supervisory control and data acquisition (SCADA) system. Three types of assessment indices are determined based on the monitoring parameters obtained from the SCADA system. Neural Networks (NNs) are used to establish prediction models for the assessment indices that are dependent on environmental conditions such as ambient temperature and wind speed. An abnormal level index (ALI) is defined to quantify the abnormal level of the proposed indices. Prediction errors of the prediction models follow a normal distribution. Thus, the ALIs can be calculated based on the probability density function of normal distribution. For other assessment indices, the ALIs are calculated by the nonparametric estimation based cumulative probability density function. A Back-Propagation NN (BPNN) algorithm is used for the overall WT condition assessment. The inputs to the BPNN are the ALIs of the proposed indices. The network structure and the number of nodes in the hidden layer are carefully chosen when the BPNN model is being trained. The condition assessment method has been used for real 1.5 MW WTs with doubly fed induction generators. Results show that the proposed assessment method could effectively predict the change of operating conditions prior to fault occurrences and provide early alarming of the developing faults of WTs.

• 한국물환경학회지
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• 제29권2호
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• pp.247-258
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• 2013

A grid-based configuration of Land Surface Models (LSMs) coupled with a climate model can be advantageous in impact assessment of climate change for a large scale area. We assessed the applicability of Common Land Model (CoLM) to runoff and land surface temperature (LST) simulations at the domain that encompasses the Nakdong river basin. To establish a high resolution model configuration of a $1km{\times}1km$ grid size, both surface boundary condition and atmospheric inputs from the observed weather data in 2009 were adjusted to the same resolution. The Leaf Area Index (LAI) was collected from MODerate esolution Imaging Spectroradiometer (MODIS) and the downward short wave flux was produced by a nonstationary multi-site weather state model. Compared with the observed runoffs at the stations on Nakdong river, simulated runoffs properly responded to rainfall. The spatial features and the seasonal variations of the domain fairly well were captured in the simulated LSTs as well. The monthly and seasonal trend of LST were described well compared to the observations, however, the monthly averaged simulated LST exceeded the observed up to $2^{\circ}C$ at the 24 stations. From the results of our study, it is shown that high resolution LSMs can be used to evaluate not only quantity but also quality of water resources as it can capture the geographical features of the area of interest and its rainfall-runoff response.

• Journal of Electrical Engineering and Technology
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• 제10권5호
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• pp.1921-1929
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• 2015

The smart substation is the heart of a transmission system, which is particularly emphasized as the most significant composition of smart grids in China. In order to assess the functionality performance of substation technologies, this paper presents methods used to identify the most promising solutions for smart substation design and to evaluate the technical levels of available technologies. The multi-index optimization model is presented to address the issue of smart substation planning. A mathematical model of the planning decision problem is established with multiple objectives consisting of economic, reliability, and green key indices, and many kinds of concerns including physical and environmentally friendly operations are formulated as a set of constraints. With respect to the assessment of the technical level regarding integration of advanced technologies into a substation, a modified grey whitenization weight function is adopted to structure a novel grey clustering method. The proposed grey clustering approach is used to overcome the difficulty of insufficient quantitative assessment capacity for traditional methods. The evaluation of technical effects provides the classification definition for the development phase and the maturity level of the smart substation. The effectiveness of the proposed approaches in planning decision-making and evaluation of construction efforts is demonstrated with case studies involving the actual smart substation projects of Wenchongkou substation in China Southern Power Grid (CSG) and Mengzi substation in State Grid Corporation of China (SGCC).

• 대한의용생체공학회:의공학회지
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• 제32권1호
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• pp.25-31
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• 2011

Blood glucose information is important for self regulation in daily life, but the frequency of self test remains to be only 17%(9 tests/month) in Korea, mainly due to pain during blood sampling. The present study tried to validate the clinical efficacy of the forearm as an alternative sampling site with minimized pain. Capillary blood was sampled both on the index finger($G_F$) and the forearm($G_A$), immediately followed by glucose measurements in 531 subjects, 25 who visited the Health Enhancement Center of C University Hospital, then venous blood($G_V$) was sampled for glucose test. The blood glucose concentration measured on the forearm was closer to the venous glucose than on the finger. The mean difference between $G_V$and $G_F$ was only 10 mg/dL well within the internationally accepted error limit. Error grid analyses of $G_F-G_V$, $G_A-G_V$ and $G_A-G_F$ revealed that the number of data points in regions A and B took 100%, 99.8%, and 97.9%, respectively. These results demonstrate the forearm blood glucose test is not only accurate but also clinically valid. Therefore, the forearm blood glucose test can be a useful way of self managing the chronic diabetes with minimized sampling pain.

• 한국컴퓨터정보학회논문지
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• 제17권9호
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• pp.9-16
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• 2012

본 논문에서는 유한요소법에서 희소행렬의 효율적인 저장을 위한 2차원 가변길이 벡터 저장구조를 제안한다. 제안한 저장구조는 유한요소 전체 방정식의 거대희소행렬 $N{\times}N$ 대신, 전체 행의 개수 N의 상삼각행렬에서 0이 아닌 실제 필요한 값들만 2차원 가변길이 벡터를 이용하여 저장하는 방법이다. 이 방법을 이용하면, 해석대상의 2차원 격자구조에서는 각 절점당 최소 1개에서 최대 5개까지의 저장 공간이 필요하게 되고, 3차원 격자구조에서는 각 절점당 최소 1개에서 최대 14개까지의 저장 공간이 필요하게 된다. 인덱스를 포함해도 2배 이상을 넘지 않는다. 본 논문의 실험 결과에 의해, 제안한 저장구조는 총 절점 개수가 많아질수록 기존의 최대칼럼 높이를 저장하는 스카이 라인 저장구조보다 메모리 공간을 효과적으로 줄일 수 있는 구조임을 알 수 있었다.

• 한국수자원학회논문집
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• 제51권5호
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• pp.461-470
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• 2018

지금까지 추진해 오던 제외지 중심의 하천복원에서 벗어나 최근에는 제내지까지 복원하고자 하는 노력이 시도되고 있다. 이의 일환으로 구하도의 복원이 추진되고 있으나 이로 인한 수리적 연결성 및 생태적 연결성 향상을 정량적으로 평가할 적합한 모형의 개발은 미진한 상태이다. 본 연구에서는 구하도 복원을 통한 생태적 연결성 회복을 평가할 수 있는 격자기반의 수리해석 모형을 개발하였다. 본 모형의 적용성을 검토하기 위하여 노탑리 일원의 청미천 하천복원 사업지를 대상으로 수리생태적 연결성을 평가하였다. 본 모형으로 수리 및 생태적 특성의 시 공간적 분포를 신속하고 간단하게 해석할 수 있었으며 향후 수리적 생태적 연결성을 평가하는 적절한 도구로 활용될 수 있을 것으로 판단된다.

• 한국기후변화학회지
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• 제6권4호
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• pp.331-344
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• 2015

A long-term gridded historical data at 3 km spatial resolution has been generated for practical regional applications such as hydrologic modelling. However, overly high or low values have been found at some grid points where complex topography or sparse observational network exist. In this study, the Inverse Distance Weighting (IDW) method was applied to properly smooth the overly predicted values of Improved GIS-based Regression Model (IGISRM), called the IDW-IGISRM grid data, at the same resolution for daily precipitation, maximum temperature and minimum temperature from 2001 to 2010 over South Korea. We tested various effective distances in the IDW method to detect an optimal distance that provides the highest performance. IDW-IGISRM was compared with IGISRM to evaluate the effectiveness of IDW-IGISRM with regard to spatial patterns, and quantitative performance metrics over 243 AWS observational points and four selected stations showing the largest biases. Regarding the spatial pattern, IDW-IGISRM reduced irrational overly predicted values, i. e. producing smoother spatial maps that IGISRM for all variables. In addition, all quantitative performance metrics were improved by IDW-IGISRM; correlation coefficient (CC), Index Of Agreement (IOA) increase up to 11.2% and 2.0%, respectively. Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) were also reduced up to 5.4% and 15.2% respectively. At the selected four stations, this study demonstrated that the improvement was more considerable. These results indicate that IDW-IGISRM can improve the predictive performance of IGISRM, consequently providing more reliable high-resolution gridded data for assessment, adaptation, and vulnerability studies of climate change impacts.

• 한국대기환경학회지
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• 제19권5호
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• pp.595-610
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• 2003

The statistical indexes such as RMSE (Root Mean Square Error), Mean Bias error, and IOA (Index of agreement) are used to evaluate 3 Dimensional wind and temperature fields predicted by operational meteorological model RAMS (Regional Atmospheric Meteorological System) implemented in CARIS (Chemical Accident Response Information System) for the dispersion forecast of hazardous chemicals in case of the chemical accidents in Korea. The operational atmospheric model, RAMS in CARIS are designed to use GDAPS, GTS, and AWS meteorological data obtained from KMA (Korean Meteorological Administration) for the generation of 3-dimensional initial meteorological fields. The predicted meteorological variables such as wind speed, wind direction, temperature, and precipitation amount, during 19 ∼ 23, August 2002, are extracted at the nearest grid point to the meteorological monitoring sites, and validated against the observations located over the Korean peninsula. The results show that Mean bias and Root Mean Square Error are 0.9 (m/s), 1.85 (m/s) for wind speed at 10 m above the ground, respectively, and 1.45 ($^{\circ}C$), 2.82 ($^{\circ}C$) for surface temperature. Of particular interest is the distribution of forecasting error predicted by RAMS with respect to the altitude; relatively smaller error is found in the near-surface atmosphere for wind and temperature fields, while it grows larger as the altitude increases. Overall, some of the overpredictions in comparisons with the observations are detected for wind and temperature fields, whereas relatively small errors are found in the near-surface atmosphere. This discrepancies are partly attributed to the oversimplified spacing of soil, soil contents and initial temperature fields, suggesting some improvement could probably be gained if the sub-grid scale nature of moisture and temperature fields was taken into account. However, IOA values for the wind field (0.62) as well as temperature field (0.78) is greater than the 'good' value criteria (> 0.5) implied by other studies. The good value of IOA along with relatively small wind field error in the near surface atmosphere implies that, on the basis of current meteorological data for initial fields, RAMS has good potentials to be used as a operational meteorological model in predicting the urban or local scale 3-dimensional wind fields for the dispersion forecast in association with hazardous chemical releases in Korea.

• 대한원격탐사학회지
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• 제36권5_2호
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• pp.975-988
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• 2020

변화탐지는 서로 다른 시점에 촬영된 영상에서 일어난 변화를 관측하는 기술로 위성영상을 활용한 원격탐사 분야에서 중요한 기술이다. 변화탐지 기법 중 하나인 무감독 변화탐지 기법은 단시간 내에 변화지역을 추출할 수 있는 장점을 지니지만, 임계값을 통해 변화된 지역을 이진영상으로 나타내기 때문에 토지피복변화를 파악하기 어렵다는 단점이 있다. 본 연구는 이러한 무감독 변화탐지의 단점을 보완하기 위해 공간정보를 기반으로 생성된 격자 포인트를 이용하여 위성영상의 토지피복변화 및 정확도 평가를 수행하였다. 변화탐지 알고리즘은 Spectral Angle Mapper(SAM)를 사용하였으며, 김제자유무역지역 일대를 촬영한 KOMPSAT-3A(K3A) 위성영상을 대상으로 진행하였다. 변화탐지결과는 자동 임계값 추출 알고리즘들 중 Otsu, Kittler, Kapur, Tsai 방법을 사용하여 이진영상으로 나타냈다. 또한, 변화탐지에 사용된 두 시점의 위성영상은 계절에 의한 식생 변화가 존재하기 때문에 확률밀도함수를 통한 Differenced Normalized Difference Vegetation Index(dNDVI)의 임계값으로 계절적 영향을 받는 지역을 제거하였다. 연구 결과, 자동 임계값 추출 알고리즘 중 Otsu와 Kapur의 정확도가 58.16%로 나타났고, dNDVI를 통해 계절적 영향을 제거하였을 때 85.47%로 정확도가 개선된 결과를 보였다. 본 연구결과를 기반으로 생성된 알고리즘은 무감독 변화탐지를 수행할 때 정확도 평가와 토지피복변화를 정량적으로 파악하여 기존의 단점을 보완할 수 있다고 판단된다.

• 한국산림과학회지
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• 제96권1호
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• pp.7-13
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• 2007

본 연구는 산림에서 개인휴대 단말기(PDA)를 기반으로 수치지형도와 GPS를 활용하여 산림지리정보를 활용할 수 있는 소프트웨어를 개발하는데 그 목적이 있다. 본 연구에서 개발한 산림지리정보 소프트웨어의 주요 내용과 그 특징은 다음과 같다. 산림지리정보검색 소프트웨어는 PocketPC 2002/2003 운영체계에서 작동하도록 하였다. PDA의 표시 화면은 DXF형식의 1:25,000 수치지형도를 PC에서 변환하여 활용하며, PDA에 표시하는 지도데이터는 1:2,500에서 1:30,000까지 5단계로 확대, 축소 표시가 가능하도록 제작하였다. GPS에서 수신한 위치정보 및 이동 경로정보를 화면에 나타내고 저장할 수 있도록 하였다. DXF형식의 수치지형도의 레이어 중 선택한 정보를 본 시스템에서 활용이 가능한 이진파일 형식으로 변환하는 소프트웨어를 제작하였다. 이를 활용하여 DXF 파일 크기 대비 90%이상 압축이 가능하였고, PDA의 처리 속도를 크게 향상시켰다. 산림지리정보검색 소프트웨어는 sub menu 기능과 grid index를 활용하여 GPS에서 수신된 위치정보와 함께 산림조사 자료입력 소프트웨어와 연동하여 표본점의 관리에 활용이 가능하도록 하였다. 산림작업자가 현장에서 필요한 임상, 소유, 위치, 임도, 사방댐, 시설물 설계도 등 산림지리정보를 현장에서 즉시 검색이 가능하도록 하였다. 산림지리정보검색 소프트웨어는 지리정보 표시기능과 정보검색기능을 이용하여, 일반인들의 등산, 관광, 유적지 답사 등에 현재 위치 및 이동 경로에 관한 정보를 제공할 수 있도록 제작하였다.