• 한국지반환경공학회 논문집
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• 제18권6호
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• pp.5-19
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• 2017

본 연구에서는 편마암지역의 NATM 해저터널 막장 9개소에서 실시한 차수 주입홀 315공에 대한 주입재 주입량에 대하여 RMR 분류요소들과 주입재 주입량, 루전값과 RQD, 루전값과 시멘트 주입량의 상관관계를 분석하여 암반 차수 주입 효과를 연구하였다. 연구대상 해저터널에서 막장별 주입재 총주입량은 일부 막장에서 다소 변화폭은 있으나, 불연속면의 간격(R3, Js)과 지하수상태(R5)에서 분류요소의 평점이 높을수록 감소하는 것으로 나타났으며, 막장별 총주입량은 RMR 분류요소들보다는 탄성파탐사(3D, TSP)의 지질이상대 및 감지공의 유입량과 상관관계가 큰 것으로 나타났다. 단위주입량은 불연속면의 상태(Jc, R4)의 풍화도를 제외한 RMR 분류요소들에서 평점이 높을수록 감소하는 것으로 나타났다. RQD와 루전값은 상관관계가 크지 않으나, RQD 값이 클수록 루전값이 감소하는 경향을 확인할 수 있었다.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2004년도 춘계 학술대회논문집
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• pp.77-82
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• 2004

A new anisotropic mesh refinement method is proposed. The new method is based on a simple second order interpolation error indicator. Therefore, it is methodologically direct and intuitive as compared with traditional anisotropic refinement strategies. Moreover, it does not depend on the mesh type. The error indicator is face-wisely calculated for all faces in a mesh and the cell refinement type is determined by the configuration of face markings with a given threshold. For the sake of simplicity, an application for a poisson equation on a triangle mesh is considered. The error field and resultant mesh refinement pattern are compared and effects of the threshold selection are discussed. Applying anisotropic refinement with various thresholds, we observed higher convergence rates than those in the uniform refinement cases.

• 한국멀티미디어학회:학술대회논문집
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• 한국멀티미디어학회 2000년도 추계학술발표논문집
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• pp.228-233
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• 2000

체적가시화(Volume Rendering)는 단면촬영기나 표면인식치 등을 이용해 읽어 들인 Data를 원래의 형태로 화면상에 보여 주는 것으로 일반적인 방법이 Sur face Rendering과 Volume Rendering이 있다. Volume Rendering은 Data 처리속도 문제와 한정적인 메모리 양으로 인해 지존의 알고리즘을 그대로 적용하는 경우 실시간 가시화가 힘들 뿐만 아니라 3차원 영상의 질이 저하되는 문제가 있었다 따라서, 본 연구는 3차원 영상의 질 저하 없이 실시간으로 MR Angio의 3차원 Volume 가시화를 구현한다 본 연구해서 사용되는 속도 개선 알고리즘은 Marc Levoy가 제안한 8진Tree(Octree) 자료구조를 이용하며, 또한 Volume Data 내에 존재하는 공기와 같이 가시화될 필요가 없는 부분에 대해 불필요한 계산을 피하고 가시화하고자 하는 부분만을 계산함으로써 Rendering에 소요되는 시간을 줄이는 방법을 사용한다.

• 산업경영시스템학회지
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• 제46권2호
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• pp.152-159
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• 2023

Due to COVID-19, changes in consumption trends are taking place in the distribution sector, such as an increase in non-face-to-face consumption and a rapid growth in the online shopping market. However, it is difficult for small and medium-sized export sellers to obtain forecast information on the export market by country, compared to large distributors who can easily build a global sales network. This study is about the prediction of export amount and export volume by country and item for market information analysis of small and medium export sellers. A prediction model was developed using Lasso, XGBoost, and MLP models based on supervised learning and deep learning, and export trends for clothing, cosmetics, and household electronic devices were predicted for Korea's major export countries, the United States, China, and Vietnam. As a result of the prediction, the performance of MAE and RMSE for the Lasso model was excellent, and based on the development results, a market analysis system for small and medium sellers was developed.

• Earthquakes and Structures
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• 제14권2호
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• pp.179-186
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• 2018

We present the accurate investigation the seismic behavior of the gravity retaining wall built near rock face based on numerical method. The retaining wall is a useful structure in geotechnical engineering, where the earthquake is a common phenomenon; therefore, the evaluation of the behavior of the retaining wall during an earthquake is essential. However, in all previous studies, the backfill behind the wall was usually approximated by a homogeneous region, while in contrast, in practice, in many cases retaining walls are used to support the soil pressure in, inhomogeneous, mountainous area. This suggests an accurate investigation of the problem, i.e., numerical analysis. The numerical results will be compared with some of recently proposed analytical methods to show the accuracy of the proposed method. We show that increasing the volume of the rock face yields decreasing the permanent horizontal displacement of the gravity retaining wall built near rock face. Besides, we see that the permanent horizontal displacement of the gravity retaining wall with homogenous backfill is more than permanent horizontal displacement of the gravity retaining wall case of the built near rock face in different frequency contents.

• 한국산업안전학회:학술대회논문집
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• 한국안전학회 2002년도 추계 학술논문발표회 논문집
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• pp.263-269
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• 2002

Design method for Involute bevel gears is developed. The developed gear design system can design the optimized gear that minimize the number of pinion teeth with face tooth. Method of optimization is MS(matrix search) which is developed from this study. Design variables are pressure angle 20, transmitted power, gear volume, gear ratio, allowable contact stress and allowable bending stress, etc. Design method developed this study can bd applide to the plane, machine tools, automobiles.

• 한국안전학회지
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• 제18권4호
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• pp.44-50
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• 2003

Design method for involute bevel gears is developed. The developed gear design system can design the optimized gear that minimize the number of pinion teeth with face tooth. Method of optimization is MS(matrix search) which is developed from this study. Design variables are pressure angle 20., transmitted power, gear volume, gear ratio, allowable contact stress and allowable bending stress. etc. Gears design method developed this study can be applied to the plane, helicopter, printer, machine tools.

• Geomechanics and Engineering
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• 제19권2호
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• pp.153-165
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• 2019

A case study of monitoring and analysis of surface settlement induced by tunneling of Tabriz metro line 2 (TML2) is presented in this paper. The TML2 single tunnel has been excavated using earth pressure balanced TBM with a cutting-wheel diameter of 9.49 m since 2015. Presented measurements of surface settlements, were collected during the construction of western part of the project (between west depot and S02 station) where the tunnel was being excavated in sand and silt, below the water table and at an average axis depth of about 16 m. Settlement readings were back-analyzed using Gaussian formula, both in longitudinal and transversal directions, in order to estimate volume loss and settlement trough width factor. In addition to settlements, face support and tail grouting pressures were monitored, providing a comprehensive description of the EPB performance. Using the gap model, volume loss prediction was carried out. Also, COB empirical method for determination of the face pressure was employed in order to compare with field monitored data. Likewise, FE simulation was used in various sections employing the code Simulia ABAQUS, to investigate the efficiency of numerical modelling for the estimating of the tunneling induced-surface settlements under such a geotechnical condition. In this regard, the main aspects of a mechanized excavation were simulated. For the studied sections, numerical simulation is not capable of reproducing the high values of in-situ-measured surface settlements, applying Mohr-Coulomb constitutive law for soil. Based on results, for the mentioned case study, the range of estimated volume loss mostly varies from 0.2% to 0.7%, having an average value of 0.45%.

• 한국산업융합학회 논문집
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• 제22권1호
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• pp.1-9
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• 2019

In electric agricultural machine the gearbox is used to increase torque and lower the output speed of the motor shaft. The gearbox consists of several shafts, helical gears and spur gears works in series. Optimization plays an important role in gear design as reducing the weight or volume of a gear set will increase its service life and improve the bearing capacity. In this paper the basic design parameters for gear like shaft diameter and face width are considered as the input variables. The bending stress and material volume is considered as the objective function. ANSYS was used to investigate the bending stress when the variable was changed. Artificial Neural Network (ANN) was used to obtain the mathematical model of the system based on the bending stress behaviour. The ANN was used since the output system is nonlinear. The Genetic Algorithm (GA)　technique of optimization is used to obtain the optimized values of shaft diameter and face width on the pinion based on the ANN mathematical model and the results are compared as that obtained using the traditional method. The ANN and GA were performed using MATLAB. The simulation results were shown that the proposed algorithm was successfully calculated the value of shaft diameter and face width to obtain the minimal bending stress and material volume of the gearbox.

• 정보과학회 논문지
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• 제43권3호
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• pp.304-313
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• 2016

본 논문은 비정렬 격자 볼륨 렌더링을 위한 다중 코어 CPU기반의 메모리 효율적 광선 투사 병렬처리 알고리즘을 제안한다. 본 연구는 Bunyk 광선 투사(ray casting) 알고리즘에 기반을 두며, Bunyk 알고리즘의 높은 메모리 소모량 문제를 개선하기 위해 스레드별로 고정된 크기의 지역 버퍼를 할당한다. 지역 버퍼는 최근 방문된 면(face)의 정보를 저장하며, 이 정보는 다른 광선들에 의해 재사용되거나 다른 면의 정보로 대체된다. 지역 버퍼에 저장된 정보의 활용률을 높이기 위해 본 연구는 이미지 평면을 기반으로 일관성(coherency)이 높은 광선들을 하나의 광선 그룹으로 묶고, 생성된 광선 그룹들을 스레드들에게 분배한다. 각각의 스레드들은 할당 받은 광선 그룹들을 지역 버퍼를 활용하여 독립적으로 처리한다. 본 연구는 또한 지역 버퍼 활용률을 더욱 높이기 위해 면의 번호에 기반을 둔 해시 함수를 제안한다. 본 연구의 효용성을 확인하기 위해 제안하는 알고리즘을 서로 다른 크기의 비정렬 격자에 적용하였으며, 면 정보 저장을 위해 Bunyk 알고리즘 대비 약 6%의 메모리만 사용하여 정확한 볼륨 렌더링을 수행할 수 있었다. 이처럼 훨씬 적은 메모리 사용에도 불구하고 Bunyk 알고리즘과 대등한 성능을 보여주었으며, 대용량 데이터에 대해서는 최대 22% 높은 성능을 보여주었다. 이는 본 연구의 효용성 및 대용량 데이터의 볼륨 렌더링에 대한 적합성을 증명하는 결과이다.