• The Korean Journal of Petroleum Geology
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• 제11권1호
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• pp.9-17
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• 2005

In the main target area of the block II, Targe-scale faults occur below the unconformity developed around 1 km in depth. The contrast of seismic velocity around the unconformity is generally so large that the strong multiples and the radical velocity variation would deteriorate the quality of migrated section due to serious distortion. More than 15 kinds of data processing techniques have been applied to improve the image resolution for the structures farmed from this active crustal activity. The bad and noisy traces were edited on the common shot gathers in the first step to get rid of acquisition problems which could take place from unfavorable conditions such as climatic change during data acquisition. Correction of amplitude attenuation caused from spherical divergence and inelastic attenuation has been also applied. Mild F/K filter was used to attenuate coherent noise such as guided waves and side scatters. Predictive deconvolution has been applied before stacking to remove peg-leg multiples and water reverberations. The velocity analysis process was conducted at every 2 km interval to analyze migration velocity, and it was iterated to get the high fidelity image. The strum noise caused from streamer was completely removed by applying predictive deconvolution in time space and ${\tau}-P$ domain. Residual multiples caused from thin layer or water bottom were eliminated through parabolic radon transform demultiple process. The migration using curved ray Kirchhoff-style algorithm has been applied to stack data. The velocity obtained after several iteration approach for MVA (migration velocity analysis) was used instead or DMO for the migration velocity. Using various testing methods, optimum seismic processing parameter can be obtained for structural and stratigraphic interpretation in the Block II, Yellow Sea Basin.

• Journal of Korea Technology Innovation Society
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• 제18권1호
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• pp.98-125
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• 2015

This study will show the determinants of research productivity by fields in science and engineering. However, we present the differences between fields by personal attributes, research resources, and research productivities. The data includes 1,383 researchers who participated in the BK21 PLUS program during 2010-2012. The fields are physics, chemistry, biology, mechanics, electricity and electronics and chemical engineering. As for research productivity, 3 indices are used such as the number of papers publicized, patents and combination of papers and patents. As for explanation factors, two kinds of variables are used. The personal factors include sex, age, academic rank, location of affiliation, and country of PhD acquisition, and the resource factors are the number of graduate students, 3 types of research funds such as government fund, industrial fund and overseas fund. This study is unique in several aspects; Dealing with 3 productivity indices, and using massive official data, 6 different fields, and determinants of research productivity. The results are as follows; 1) there is a big difference in determinants by fields. 2) No variables affect the research productivity of all the fields at the same time. 3) In science, the number of determinants are quite low than engineering. 4) The ratio between papers and patents are different by fields. 5) The correlations between paper and patent by fields are different; no relationship in the field of physics and chemistry and positive relationship in the other 4 fields.

• Journal of Korean Society for Geospatial Information Science
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• 제19권4호
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• pp.153-159
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• 2011

Vegetative land cover is an important variable many Earth system process, general circulation and carbon exchange model requires vegetative cover as boundary layer necessary to run model. The purpose of this study is to detect and to understand land surface change. To monitor changes of East Asia vegetation, we used NDVI 10-day MVC data derived from SPOT VEGETATION during 12 years from 1999 to 2010. Finally, according to the land cover of classified class, we performed analysis for dynamic zone(positive change zone and negative change zone), static zone in 1999, 2010. Therefore, land covers corresponding to each class have appeared change by 2010. Land cover change was confirmed by analyzing data during 12 years which appeared vegetation change of surrounding the actual desert area to east.

• Proceedings of the Korea Water Resources Association Conference
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• 한국수자원학회 2015년도 학술발표회
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• pp.8-8
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• 2015

기후변화에 따른 집중호우 및 태풍 발생의 증가로 강우레이더를 이용한 홍수예경보시스템의 필요성이 증대되고 있다. 그러나 현재 국내에서 주로 활용되고 있는 단일편파 레이더는 정확도의 한계로 인해 홍수예보 활용에 어려움을 야기해왔다. 최근에는 수직반사도, 차등반사도, 비차등반사도 등 다양한 변수 취득을 통해 강우입자의 형태를 더욱 정확하게 추정할 수 있는 이중편파 레이더의 활용이 높아지고 있다. 본 연구에서는 홍수예보 활용을 위해 이중편파 레이더 실황강우 및 예측강우의 정확도를 평가하고자 한다. 평가를 위해 비슬산 레이더 자료를 활용하였으며, 2012~2014년의 강우사상을 선정하였다. 단일 및 이중편파 레이더 강우를 각각 추정하고, 강우예측을 위해 추정된 레이더 강우를 이류모델(Translation model)에 연계하여 선행 6시간까지의 예측강우를 생산하였다. 강우의 탐지능력 평가를 위해 Hit rate를 이용하였으며, 레이더 관측반경 증가 및 강우강도의 증가에 따른 정확도 분석을 수행하였다. 강수추정 정확도 평가를 위해 상관계수와 평균제곱근 오차를 이용하였으며, 비슬산 강우레이더 100 km 반경 내에 속한 국토교통부 관할의 지상관측강우와비교하였다. 그 결과, 이중편파 레이더 실황강우가 단일편파 레이더에 비해 지상관측강우의 거동과 더욱 유사하게 나타났으며, 양적인 오차도 더 적은 것으로 확인되었다. 또한, 레이더 예측강우는 선행시간이 증가함에 따라 정확도가 감소하였으나, 선행시간 1시간까지는 활용이 가능하다고 판단된다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• 제30권1호
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• pp.31-38
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• 2012

The geo-referencing accuracy of the images acquired by a UAV based multi-sensor system is affected by the accuracy of the mounting parameters involving the relationship between a camera and a GPS/INS system as well as the performance of a GPS/INS system. Therefore, the estimation of the accurate mounting parameters of a multi-sensor system is important. Currently, we are developing a low altitude multi-sensor system based on a UAV, which can monitor target areas in real time for rapid responses for emergency situations such as natural disasters and accidents. In this study, we suggest a system calibration method for the estimation of the mounting parameters of a multi-sensor system like our system. We also generate simulation data with the sensor specifications of our system, and derive an effective flight configuration and the number of ground control points for accurate and efficient system calibration by applying the proposed method to the simulated data. The experimental results indicate that the proposed method can estimate accurate mounting parameters using over five ground control points and flight configuration composed of six strips. In the near future, we plan to estimate mounting parameters of our system using the proposed method and evaluate the geo-referencing accuracy of the acquired sensory data.

• Proceedings of the Korean Society for Rock Mechanics Conference
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• 한국암반공학회 2000년도 암반공학문제의 수치해석(Numerical Analysis in Rock Engineering Problems)
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• pp.147-154
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• 2000

The influence of the mined-out caves on the stability of the high speed railway tunnel was investigated with a series of geological logging and in-situ tests on the one hand, and with the rock mass classification using the multiple regression analysis on the other hand. The rock mass in this area can be classified as 'fair', and the condition of the discontinuities plays the most important role in the classification of the rock mass. The results of the analysis obtained by the FLAC showed that the western part of the tunnel locating at 50m above the mine cavities could be affected by subsidence associated with a considerable deformation, the magnitude of which might depend on the properties of the rock mass. Key word : multi regression analysis, subsidence, mine cavities

• Journal of Korean Society for Geospatial Information Science
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• 제22권4호
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• pp.175-181
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• 2014

Korean government proposed a new initiative 'government 3.0' with which the administration will open its dataset to the public before requests. City of Seoul is the front runner in disclosure of government data. If we know what kind of attributes are governing factors for any given segmentation, these outcomes can be applied to real world problems of marketing and business strategy, and administrative decision makings. However, with respect to city of Seoul, selection of optimal variables from the open dataset up to several thousands of attributes would require a humongous amount of computation time because it might require a combinatorial optimization while maximizing dissimilarity measures between clusters. In this study, we acquired 718 attribute dataset from Statistics Korea and conducted an analysis to select the most suitable variables, which differentiate Gangnam from other districts, using the Genetic algorithm and Dunn's index. Also, we utilized the Microsoft Azure cloud computing system to speed up the process time. As the result, the optimal 28 variables were finally selected, and the validation result showed that those 28 variables effectively group the Gangnam from other districts using the Ward's minimum variance and K-means algorithm.

• Journal of Korea Water Resources Association
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• 제54권2호
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• pp.121-133
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• 2021

Suspended Solids (SS) generated in rivers are mainly introduced from non-point pollutants or appear naturally in the water body, and are an important water quality factor that may cause long-term water pollution by being deposited. However, the conventional method of measuring the concentration of suspended solids is labor-intensive, and it is difficult to obtain a vast amount of data via point measurement. Therefore, in this study, a model for measuring the concentration of suspended solids based on remote sensing in the Nakdong River was developed using Sentinel-2 data that provides high-resolution multi-spectral satellite images. The proposed model considers the spectral bands and band ratios of various wavelength bands using a machine learning model, Support Vector Regression (SVR), to overcome the limitation of the existing remote sensing-based regression equations. The optimal combination of variables was derived using the Recursive Feature Elimination (RFE) and weight coefficients for each variable of SVR. The results show that the 705nm band belonging to the red-edge wavelength band was estimated as the most important spectral band, and the proposed SVR model produced the most accurate measurement compared with the previous regression equations. By using the RFE, the SVR model developed in this study reduces the variable dependence compared to the existing regression equations based on the single spectral band or band ratio and provides more accurate prediction of spatial distribution of suspended solids concentration.

• Geophysics and Geophysical Exploration
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• 제15권2호
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• pp.102-115
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• 2012

The purpose of this paper is to review several different methods calculating gas hydrate saturations. There are three methods using downhole log data, core data (including pressure core), and seismic velocity data. Archie's equation using electrical resistivity of downhole log data is widely used for saturation calculation. In this case, Archie's parameters should be defined accurately. And the occurrence types of gas hydrate significantly affect to saturation calculation. Thus saturation calculation should be carefully conducted. The methods using chlorinity and pressure core data are directly calculated from core sample. So far, the saturation calculated from pressure core gives accurate and quantitative values. But this method is needed much more time and cost. Thus acquisition of the continuous data with sediment depth is realistically hard. The recent several results show that the saturation calculated from resistivity data is the highest values, while the value calculated from pressure core is the lowest. But this trend is not always absolutely. Thus, to estimate accurate gas hydrate saturation, the values calculated from several methods should be compared.

• Korean Journal of Remote Sensing
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• 제38권6_1호
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• pp.1541-1555
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• 2022

Red tide has potential to harm marine ecology and aquaculture. Research on detecting red tide using various optical remote sensors has been conducted, but most of existing algorithms for detecting red tide has limitations, especially in shallow coastal waters with high levels of suspended sediment. For enhanced understanding of the optical behavior of red tide waters, analysis on remote sensing reflectance and water constituent is becoming increasingly important. This study analyzed the optical remote sensing data and water quality variables(Chl-a_(Spec), SPM, a_ph, a_d, Turbidity, Chl-a_(HPLC), Dominant species) of red tide waters. The data were collected from ship-based campaigns. In addition to the research on detecting red tide, the remote sensing reflectance and extinction coefficients for mesodinium and cochlodinium species were also analyzed. Through the analysis, it was possible to estimate the red tide chlorophyll concentration based on a specific wavelength of the remote sensing reflectance. The study found that chlorophyll concentration and phytoplankton absorption coefficient were highly correlated(R²=0.9), and that the RE_diff formula provided a more accurate estimate of red tide concentration than the B-G ratio.