155 lines
12 KiB
HTML
155 lines
12 KiB
HTML
<?php include('../inc/pageheader_eng.php'); ?>
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<link rel="stylesheet" href="../css/rnd.css">
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<script src="../js/picLoad.js"></script>
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<script src="../js/rnd.js?v=190507"></script>
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<?php include('../inc/menubar_eng.php'); ?>
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<section>
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<h1 class="hidden">Start of Content</h1>
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<article class="subBanner">
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<h2 class="hidden">서브배너</h2>
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<div class="inner">
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<div class="subBannerInfo">
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<ul>
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<li>REFERENCE</li>
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<li>Provides diverse solutions with Innovative technology for customer satisfaction</li>
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</ul>
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</div><!--end of subBannerInfo-->
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</div><!--end of inner-->
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</article><!--end of subBanner-->
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<div class="siteIndex">
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<div class="inner">
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REFERENCE 》 Liquefaction modeling and 3D analysis module
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</div>
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</div><!--end of siteIndex-->
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<article class="rndContainer">
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<h2 class="hidden">REFERENCE</h2>
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<ol>
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<li><a href="./RnD_lunar.html"><</a></li>
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<li><a href="./RnD_koreaRoad.html">></a></li>
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</ol>
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<div class="rndWrapper">
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<div class="LiquefactionModule">
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<h2 class="hidden">액상화 모델링 및 3차원 분석 모듈</h2>
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<ul class="clearfix">
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<li class="bigPic3"><img src="../images/module_1.jpg" alt=""></li>
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<li>
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<dl>
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<dt>liquefaction modeling and 3D analysis module based on Drilling information </dt>
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<dd>
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Development of liquefaction analysis basic data modeling and 2/3D liquefaction analysis map generation module for the efficient extraction of drilling information. The liquefaction analysis and visualization information obtained through the developed module can be used as a liquefaction damage prediction system to build a linkage and utilization system with other systems such as earthquake disaster.
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</dd>
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<dd>
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<ul class="clearfix">
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<li><img src="../images/module_1.jpg" alt=""></li>
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<li><img src="../images/module_2.jpg" alt=""></li>
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<li><img src="../images/module_3.jpg" alt=""></li>
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</ul>
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</dd>
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</dl>
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</li>
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</ul>
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<div class="rndInfo">
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<div class="innerScroll">
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<ul class="techIntroduce">
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<li class="techIntroduceTitle">1) Technology Introduction : liquefaction modeling and 3D analysis module</li>
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<li>
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The liquefaction phenomenon has been officially confirmed in recent earthquakes in Pohang. Liquefaction is the phenomenon of loss of rigidity and shearing strength when the soil is stressed. In general, when liquefaction occurs, a parts of the water and sand can be ejected over the ground with creating space, so there is a risk of road erosion or sinkholes. Therefore, there is a growing need to produce a liquefaction risk maps in Korea, and this study extracts information related to national drilling information for the map and developed modules for basic data modeling and three-dimensional analysis based on the drilling information.
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</li>
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<li class="techIntroduceTitle">2) interpolation</li>
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<li>
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Interpolation (or spatial interpolation) is a method of building new data points using known data points. When you need statistics on space, the best way is to acquire the data you need at every point. However, it is practically impossible to get the desired value at all points due to problems such as cost and time. Therefore, after selecting a number of specific points to obtain observation value, this value data is used to predict the value of the points to be known, and interpolation is widely used in this process. The system provides six typical interpolation methods as following.
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</li>
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</ul><!--end of techIntroduce-->
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<ul class="techIntroduce">
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<li class="techIntroduceTitle">3) Type of interpolation</li>
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<li class="techIntroduceChart">
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<dl>
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<dt>A) Radial Basis Function(RBF)</dt>
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<dd>
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It is a proposed model for the interpolation of multivariate data, so it is easy to generate compared with kriging and it expresses a system with a strong nonlinearity well, but predictive performance reacts sensitively.
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</dd>
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</dl>
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<dl>
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<dt>B) Natural Neighbor interpolation</dt>
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<dd>
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It is the simplest interpolation based on the Voronoi tessation of discrete spatial sets and shows relatively close approximations.
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</dd>
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</dl>
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<dl>
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<dt>C) Inverse Distance Weight (IDW)</dt>
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<dd>
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A method for determining the value of a new cell using linearly coupled weights from a nearby point. It is called the Inverse Distance Weight because the closer the distance is, the higher the weight is applied.
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</dd>
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</dl>
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<dl>
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<dt>D) kriging(Triangulated Irregular Network]</dt>
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<dd>
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It is a geo-statistical method that a linear combination of known data is used to estimate the value of the property at the point of interest. This method assumes the value by linearly combining the measured values of the surrounding with a statistical method.
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When estimating the value, it reflects not only the distance from the measured value but also the correlation strength between neighboring values. It requires a large amount of calculation, but relatively accurate.
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</dd>
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</dl>
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<dl>
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<dt>E) Triangulated Irregular Network, TIN</dt>
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<dd>
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It is relatively suitable for small areas by connecting all points in a triangle to calculate values within the triangle.
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</dd>
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</dl>
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<dl>
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<dt>F) Spline interpolation</dt>
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<dd>
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Connection polynomials that gradually apply polynomials to subset of data points are called spline functions. Functions generally change smoothly, but sometimes rapidly in certain areas. Spline functions provide a good approximation to the behavior of locally and rapidly changing functions.
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</dd>
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</dl>
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</li>
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<li class="techIntroduceImg">
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<span><img src="../images/reference/module/1.PNG" width="20" alt=""></span>
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</li>
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</ul><!--end of techIntroduce-->
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<ul class="techIntroduce">
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<li class="techIntroduceTitle">4) Visualization</li>
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<li class="techIntroduceHandle clearfix">
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<dl>
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<dt>A. Surface Visualization</dt>
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<dd><img src="../images/reference/module/2.PNG" alt=""></dd>
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<dd>
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The surface visualization function visualizes the ground resistance value R corrected at regular intervals. When you click on the ground resistance surface visualization, the screen that the ground resistance value surface is visualized is output as shown in the picture.
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</dd>
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</dl>
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<dl>
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<dt>B. 3D Visualization</dt>
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<dd><img src="../images/reference/module/3.PNG" alt=""></dd>
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<dd>
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3D visualization is a function that makes a modeling of the 3D resistance value based on the ground resistance 2D analysis result and shows it in three dimensions. The screen shown can be enlarged/ reduced/rotated and it supports a Legend for each resistance value to help visualization. The following is a conceptual diagram that visualizes 2D analysis results in 3D cube format.
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</dd>
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</dl>
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</li>
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</ul><!--end of techIntroduce-->
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</div><!--end of innerScroll-->
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</div><!--end of rndInfo-->
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</div><!--end of deepLearning-->
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</div><!--end of rndWrapper-->
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</article><!--end of rndContainer-->
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<div class="fixMenu">
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<p class="btn_fix"></p>
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<ul>
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<li><a href="#" alt="딥러닝 기반 사고영상 감지 시스템">Deep Learning-based accident image detection system</a></li>
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<li><a href="#" alt="월면 크레이터 자동 인식 시스템">Automatic detection system of craters on the Lunar surface</a></li>
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<li><a href="#" alt="시추정보 기반의 액상화 모델링 및 3차원 분석 모듈">liquefaction modeling and 3D analysis module based on Drilling information </a></li>
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<li><a href="#" alt="도로표지관리/안내시스템">Road sign management/guide system</a></li>
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</ul>
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</div><!--end of fixMenu-->
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</section><!--end of section, mainPage-->
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</body>
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