• Title/Summary/Keyword: Simple kriging

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Approximate Optimization of an Active Micro-Mixer (능동형 미소혼합기의 근사최적화)

  • Park, Jae-Yong;Kim, Sang-Rak;Yoo, Jin-Sik;Lim, Min-Gyu;Kim, Young-Dae;Han, Seog-Young;Maeng, Joo-Seung
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.17 no.5
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    • pp.95-100
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    • 2008
  • An active micro-mixer, which is composed of an oscillating micro-stirrer in the micro-channel to provide effective mixing was optimized. The effects of molecular diffusion and disturbance by the stirrer were considered with regard to two types of mixer models: the simple straight micro-channel and micro-channel with an oscillating stirrer. Two types of mixer models were studied by analyzing mixing behaviors such as their interaction after the stirrer. The mixing was calculated by Lattice Boltzmann methods using the D2Q9 model. In this study, the time-averaged mixing index formula was used to estimate the mixing performance of time-dependent flow. The mixing indices of the two models were compared. From the results, it was found that the mixer with an oscillating stirrer was much more enhanced and stabilized. Therefore, an approximate optimization of an active micro-mixer with an oscillating stirrer was performed using Kriging method with OLHD(Optimal Latin Hypercube Design) in order to determine the optimal design variables. The design parameters were established as the frequency, the length and the angle of the stirrer. The optimal values were obtained as 1.0346, 0.66D and $\pm45^{\circ}$, respectively. It was found that the mixing index of the optimal design increased by 88.72% compared with that of the original design.

The Effective Method for Changing the Resolution of the Grid Environment Data (다수/다차원 격자형데이터를 이용한 해상도 변환의 효율적 방안 연구)

  • Kim, Chang-Jin;Oh, Gwang-Beak;Na, Young-Nam
    • Journal of the Korea Institute of Military Science and Technology
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    • v.16 no.2
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    • pp.169-174
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    • 2013
  • In counterfire warfare, it is important to detect and attack enemy targets faster than the enemy using sensing The grided environmental data is usually provided by the numerical simulation coupled with a data assimilation technique and various inter- or extrapolation algorithms, both of which are based on the observation spanning from simple equipments to satellites. In order to employ the gridded environmental data in the M&S system frequently cutting area and changing its resolution, interpolation algorithms such as linear, cubic spline, IDW, and Kriging methods are necessary to apply. These methods, however, require much time in the M&S system. This paper introduces a technic to reduce time to change the resolution of data. using the binary search method, which finds a point to interpolate quickly and interpolate data in the vicinity of. We also show the efficiency of proposed methods by way of measuring the respective elapsed times.

Geostatistical Fusion of Spectral and Spatial Information in Remote Sensing Data Classification

  • Park, No-Wook;Chi, Kwang-Hoon;Kwon, Byung-Doo
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.399-401
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    • 2003
  • This paper presents a geostatistical contextual classifier for the classification of remote sensing data. To obtain accurate spatial/contextual information, a simple indicator kriging algorithm with local means that allows one to estimate the probability of occurrence of certain classes on the basis of surrounding pixel information is applied. To illustrate the proposed scheme, supervised classification of multi-sensor remote sensing data is carried out. Analysis of the results indicates that the proposed method improved the classification accuracy, compared to the method based on the spectral information only.

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Shape Optimization to Minimize The Response Time of Direct-acting Solenoid Valve

  • Shin, Yujeong;Lee, Seunghwan;Choi, Changhwan;Kim, Jinho
    • Journal of Magnetics
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    • v.20 no.2
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    • pp.193-200
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    • 2015
  • Direct-acting solenoid valves are used in the automotive industry due to their simple structure and quick response in controlling the flow of fluid. We performed an optimization study of response time in order to improve the dynamic performance of a direct-acting solenoid valve. For the optimal design process, we used the commercial optimization software PIAnO, which provides various tools for efficient optimization including design of experiments (DOE), approximation techniques, and a design optimization algorithm. 35 sampling points of computational experiments are performed to find the optimum values of the design variables. In all cases, ANSYS Maxwell electromagnetic analysis software was used to model the electromagnetic dynamics. An approximate model generated from the electromagnetic analysis was estimated and used for the optimization. The best optimization model was selected using the verified approximation model called the Kriging model, and an optimization algorithm called the progressive quadratic response surface method (PQRSM).

Bayesian Inversion of Gravity and Resistivity Data: Detection of Lava Tunnel

  • Kwon, Byung-Doo;Oh, Seok-Hoon
    • Journal of the Korean earth science society
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    • v.23 no.1
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    • pp.15-29
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    • 2002
  • Bayesian inversion for gravity and resistivity data was performed to investigate the cavity structure appearing as a lava tunnel in Cheju Island, Korea. Dipole-dipole DC resistivity data were proposed for a prior information of gravity data and we applied the geostatistical techniques such as kriging and simulation algorithms to provide a prior model information and covariance matrix in data domain. The inverted resistivity section gave the indicator variogram modeling for each threshold and it provided spatial uncertainty to give a prior PDF by sequential indicator simulations. We also presented a more objective way to make data covariance matrix that reflects the state of the achieved field data by geostatistical technique, cross-validation. Then Gaussian approximation was adopted for the inference of characteristics of the marginal distributions of model parameters and Broyden update for simple calculation of sensitivity matrix and SVD was applied. Generally cavity investigation by geophysical exploration is difficult and success is hard to be achieved. However, this exotic multiple interpretations showed remarkable improvement and stability for interpretation when compared to data-fit alone results, and suggested the possibility of diverse application for Bayesian inversion in geophysical inverse problem.

Assessment of Regional Seismic Vulnerability in South Korea based on Spatial Analysis of Seismic Hazard Information (공간 분석 기반 지진 위험도 정보를 활용한 우리나라 지진 취약 지역 평가)

  • Lee, Seonyoung;Oh, Seokhoon
    • Economic and Environmental Geology
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    • v.52 no.6
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    • pp.573-586
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    • 2019
  • A seismic hazard map based on spatial analysis of various sources of geologic seismic information was developed and assessed for regional seismic vulnerability in South Korea. The indicators for assessment were selected in consideration of the geological characteristics affecting the seismic damage. Probabilistic seismic hazard and fault information were used to be associated with the seismic activity hazard and bedrock depth related with the seismic damage hazard was also included. Each indicator was constructed of spatial information using GIS and geostatistical techniques such as ordinary kriging, line density mapping and simple kriging with local varying means. Three spatial information constructed were integrated by assigning weights according to the research purpose, data resolution and accuracy. In the case of probabilistic seismic hazard and fault line density, since the data uncertainty was relatively high, only the trend was intended to be reflected firstly. Finally, the seismic activity hazard was calculated and then integrated with the bedrock depth distribution as seismic damage hazard indicator. As a result, a seismic hazard map was proposed based on the analysis of three spatial data and the southeast and northwest regions of South Korea were assessed as having high seismic hazard. The results of this study are expected to be used as basic data for constructing seismic risk management systems to minimize earthquake disasters.

Comparison of Estimation Methods for the Missing Rainfall data in a Urban Sub-drainage Area (도시하천 소배수구역의 결측 강우량 산정 방법 비교)

  • Kim, Chung-Soo;Kim, Hyoung-Seop
    • Proceedings of the Korea Water Resources Association Conference
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    • 2006.05a
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    • pp.701-705
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    • 2006
  • 강우자료는 수문 모델링 작업에서 가장 기초적인 수문학적 입력자료로 시간과 공간에 따른 변동성이 크므로 규명하기 복잡한 수문현상 중의 하나이다. 산악지역이 많은 우리나라의 지형학적 특성과 태풍, 장마 및 특히, 최근의 게릴라성 집중호우 등으로 인하여 이러한 변동성이 더욱 커지고 있는 실정이다. 장기간 실측된 수문기상 기초 자료가 부족한 우리나라의 실정상 홍수예보 및 수공구조물 설계를 위해 정확한 강우량 자료의 취득이 선행돼야 한다. 따라서 적절한 장소에 수문관측소 설치 및 관리를 통해 양호한 강우량 자료를 획득해야 하지만, 현장 여건상 등의 이유로 미계측 및 결측, 이상자료가 발생하고 있다. 따라서 이러한 미계측 혹은 결측지점의 우량을 추정할 수 있는 방법을 비교, 분석하여 적절한 보정과정을 수행할 필요가 있다. 그간의 연구에서는 미계측 지점 혹은 산악지역에서의 점 강우량 보정방법에 대한 연구가 진행되었지만, 본 연구에서는 '도시홍수재해관리기술연구사업단'에서 운영 중인 도시하천 유역 특히 소배수구역에서의 결측 자료에 대해 여러 추정 방법을 비교, 분석하여 적절한 방안을 찾고자 한다. 이를 위하여 중랑천 유역의 3개 소배수 구역(월계1 배수구역, 군자 배수구역, 어린이대공원 배수구역)에 설치된 3개 우량관측소와 건설교통부 관할 우량관측소 2개소의 우량자료를 사용하였다. 본 연구에서는 결측치 보간을 위하여 널리 이용되고 있는 산술평균법(Arithmetic Average method), 역거리법(Reciprocal Distance Squared method), 거리고도비율법(Ratio of Distance and Elevation method), 인근관측소와의 관계식 이용, 크리깅방법(Simple Kriging method)을 비교, 검토 적용하였다. 중랑천 유역의 소배수구역을 대상으로 연중 발생하는 큰 호우사상에 대해 임의의 강우관측소를 결측지점으로 가정하고 주변의 강우관측소로부터 각각의 방법을 이용해 가중치들을 산정하여 결측지점의 강우량 값을 보정하고자 하였다. 또한 각각의 방법을 이용하여 얻어진 결과에 대해 실측값과 보정값의 오차정도를 평균절대오차법(Mean Absolute Error)과 제곱평균제곱근오차법(Root Mean Squared Error)에 의해 산정하여 보정 방법간의 효율성을 검토하고자 하였다.

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Application of Grid-based DAD Analysis Program According to Rainfall Spatial Distribution Technique (공간보간 기법에 따른 격자기반 DAD 분석 프로그램 적용)

  • Kim, Young-Kyu;Yu, Wan-Sik;Jeong, An-Chul;Jung, Kwan-Sue
    • Journal of Cadastre & Land InformatiX
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    • v.47 no.1
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    • pp.191-211
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    • 2017
  • Assessment of a storm is accomplished by the duration and storm area rather than a simple analysis given by the ground rain gauge stations. One of the best method for assessing storm is Depth-Area-Duration(DAD) of rainfall analysis. but existing DAD analysis method is likely to possible errors. Therefore, DAD analysis and its applicability were examined using a grid-based DAD analysis program that can reduce the possibility of errors in this study. Three spatial distribution techniques were used to analyze the applicability. Then, DAD analysis was performed using the converted grid-based rainfall data. As a result, it was possible to estimate the MAAR values by area for each duration, and showed high applicability in the rainfall data using ordinary kriging technique.

Water Balance Analysis using Hydro-informatics (수문정보를 이용한 유량배분 분석)

  • Bae, Myoung-Soon;Ha, Sung-Ryong;Park, Jung-Ha
    • Proceedings of the Korea Water Resources Association Conference
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    • 2007.05a
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    • pp.162-167
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    • 2007
  • 수질오염총량관리제에서 단위유역 할당부하량은 지자체의 개발용량과 밀접한 관계를 가지고 있기 때문에 상 하류 지역간의 첨예한 관심거리가 되고 있다. 총량관리제는 기준유량과 목표수질에 대한 기준배출부하량의 달성을 목적으로 하고 있기 때문에 합리적이고 과학적인 기준유량 및 목표수질의 설정이 무엇보다 중요하다. 또한 합리적인 수질모델링을 필요로 하는데, 유량배분은 모델링 과정에서 중요한 영향을 미치며, 지역의 기준배출부하량을 결정하는 결정적인 요소 중의 하나이다. 기존의 유량배분은 대부분 관측지점을 기준으로 한 단순한 면적비 유량배분기법(SAWA; simple area-based water-balance analysis)에 의존해왔다. 그러나 SAWA는 특정유역의 토지피복, 토양, 지형경사 및 강우분포 등의 수문학적 특성을 고려하지 못하는 한계점을 가지고 있다. 즉, 동일한 면적의 유역이라도 이러한 수문 특성인자에 따라 유출되는 유량이 달라지는 현상을 고려하지 못하고 있다. 이는 곧 지역의 기준배출부하량의 신뢰성에 영향을 미치기 때문에 지역간 분쟁의 소지가 될 수 있다. 본 연구는 기존의 유량배분 방법인 SAWA가 가지는 한계점을 극복하고자 강우분포 및 토지피복의 수문학적 특성을 이용한 유량배분기법(HIWA; hydro-infomatical water-balance analysis)의 개발을 목적으로 수행되었다. 강우분포와 토지피복이 하천유량에 미치는 영향을 분석하고 공간정보화 한 후 지형정보체계(GIS)의 수문분석 기법을 이용하여 유량을 배분하였다 ARC/INFO의 KRIGING 보간법을 이용하여 구축한 등강우분포도와 토지피복에 따른 유출특성을 분석하여 강우유출 해석을 위한 가중지형정보를 생성하였다. 연구는 2003년 10월-2004년 3월의 미호천수계 및 수질오염총량관리단위유역 말단지점의 실측자료를 이용하였으며, 연구결과 기존의 SAWA보다 본 연구에서 제안한 HIWA가 유량배분의 정확도를 높일 수 있음이 입증되었다.

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The Optimized Analysis Zone Districting Using Variogram in Urban Remote Sensing (도시원격탐사에서 베리오그램을 이용한 최적의 분석범위 구역화)

  • Yoo, Hee-Young;Lee, Ki-Won;Kwon, Byung-Doo
    • Korean Journal of Remote Sensing
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    • v.24 no.2
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    • pp.107-115
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    • 2008
  • Recently, a considerable number of studies have been conducted on the high resolution imagery showing the boundaries of objects clearly. When urban areas are analyzed in detail using the high resolution imagery, the size of analyzed zone is apt to be decided arbitrarily. Sufficient prior information about study area makes the decision of analysis zone possible; otherwise, it is difficult to determine the optimized analysis zone using only satellite imagery. In this study, the variograms of artificial simple images are analyzed before applying to the real satellite images. As a result of the analysis of simple images, the sill has an effect on the density of objects and also the size of objects and spacing influence the range. The variograms of real satellite images are analyzed with reference to the result of model test and are applied to determining the optimized analysis zone. This study shows that variogram can be applied to determining effectively the optimized analysis zone in case of no prior information on study area; moreover it will be expected to be used for an index to express the characteristics of urban imagery as well as conventional kriging and simulation.