• 한국지구물리탐사학회:학술대회논문집
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• 1999.08a
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• pp.21-36
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• 1999

Recently resistivity survey is widely used for site investigations in the field of civil engineering. Since such application area requires accurate interpretation tools especially in the area of complicated geology and rough terrain topography, we developed a three-dimensional (3-D) resistivity inversion code, which can reconstruct real earth structures. Furthermore, the inversion code gives resolution-enhanced images by applying the ACB(Active Constraint Balancing) method. With the help of this inversion code, 3-D resistivity survey is now used as new techniques for site investigations in civil engineering problem. By imaging the 3-D resistivity distribution, we could get useful informations such as depth distribution of basement rock, distribution of weak zone, fractures and cavities which is crucial to civil engineers.

• Journal of the Korean Geotechnical Society
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• v.32 no.4
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• pp.29-39
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• 2016

This paper presents the results of 2D and 3D finite element simulations conducted to analyze the effects of excavation depth (H), excavation width (L), and ground condition on the behavior of anchored earth retaining wall in inclined ground layers. The results of numerical analyses are compared with those of the site instrumentation analyses. Based on the results obtained, it appeared that 2D numerical analysis tends to overestimate the horizontal displacement of retaining wall compared to the 3D numerical analysis. When the excavation depth is deeper than 20m, it is found that 2D and 3D numerical analysis results of excavation work in soil ground condition are more different from the results in rock ground condition. For an accurate 3D numerical analysis, applying 3D mesh which has an excavation width twice longer than excavation depth is recommended. Consequently, 3D numerical analysis may be able to offer significantly better predictions of movement than 2D analysis.

• Journal of the Korean Society of Propulsion Engineers
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• v.14 no.6
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• pp.17-24
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• 2010

This study was performed to make a close inquiry into a pseudo 3-dimensional structure of the liquid-propellant spray emerging from nonimpinging-type injector. Spray configuration near the injector exit was captured by a high-speed camera, and then its periodic phenomena (shedding) was observed. Detailed spatial structure of spray was investigated by spray characteristic parameters (velocity, diameter, volume flux, etc.) with the aid of a Dual-mode Phase Doppler Anemometry (DPDA). Experiment was carried out at various locations along the geometric axis of the nozzle orifice and on the plane normal to the spray stream with the injection pressures of 17.2 to 27.6 bar.

• Journal of the Korean Society of Propulsion Engineers
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• v.12 no.5
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• pp.9-17
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• 2008

Pseudo-3D spatial distribution of spray droplets is investigated by using Dual-mode Phase Doppler Anemometry (DPDA) in order to examine the disintegration and spreading behavior of spray exiting from liquid-propellant thruster injector. Spray injected from nozzle orifice with length-to-diameter ratio ($L/d_o$) of 1.67 and under the injection pressure of 27.6 bar is aligned to the vertical. Vertical and horizontal mean velocities of droplets, Sauter Mean Diameter (SMD), and volumetric flux decrease as droplets travel from center/upstream toward outer region/downstream of spray. Although the distribution of spray characteristic parameters is symmetric against the geometric axis of nozzle orifice, their absolute values are asymmetric.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2009.04a
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• pp.265-266
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• 2009

구글 어스(Google Earth)란 도구는 인공위성에서 찍은 사진들을 바탕을 3차원 지구 타원체에 바탕에 입힌 도구이다. 이 도구는 3차원 공간에서 OpenAPI등을 이용하여 3차원객체를 지구 타원체상에 구현 할 수 있다. 이러한 점들 때문에 많은 사람들이 주요 건축물을 구현하거나 실외 이동객체(자동차, 비행기 등)를 구현하여 더욱더 지구와 가까운 모형으로 구현을 해 왔다. 하지만 공간 정보란 것은 실외 공간정보만이 아닌 건물의 내부 구조나 쇼핑몰상의 유동 인구의 움직임등과 같은 정보도 존재한다. 이 연구는 구글 어스 상에서 내부 구조를 가진 건물을 구축하고 이곳을 탐색할 수 있게 해 주며 또한 실내 이동 객체들의 실시간 움직임을 구현한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.11b
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• pp.817-820
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• 2003

현재 생물분자의 기능적 관점에서 단백질 구조에 관심이 많이 모아지고 있다. 단백질의 기능은 구조에서 기인하기 때문에 두 단백질의 구조간의 유사성을 측정할 수 있는 방법은 두 단백질의 기능의 유사성을 유추할 수 있다. 본 논문에서는 두 단백질의 원자간 결합선 분포의 유사성을 기반으로 한 웹 환경에서 동작하는 단백질 구조 검색 시스템을 설계 구현하였다. 두 단백질의 구조의 유사성을 측정하기 위한 단백질의 표현(representation)으로는 3 차원 에지 히스토그램을 사용하였다. 3차원 에지 히스토그램, 즉, 3차원 공간 상에서의 원자간 결합선 분포에 기반한 단백질 구조 검색 시스템은 많은 양의 단백질 구조 정보로부터 원하는 형태의 단백질 구조를 빠른 시간에 검색할 수 있는 장점을 가지므로 스크리닝의 전단계(pre-screening)에서 사용될 수 있다.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.553-553
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• 2016

2011년 3월 일본 후쿠시마에서 대지진과 쓰나미로 인하여 대규모의 경제적 피해와 생명에 위협을 준 원전사고가 발생하였다. 이처럼 국가주요시설인 원전부지의 사고위험은 다양한 원인으로 인해 늘 위협받고 있으며, 최근 기후변화로 인하여 단시간의 지역적인 집중호우와 예상치 못한 폭우가 빈번하게 발생하고 있는 상황에서 극한홍수로 인한 사고 또한 중요한 원인으로 인식되고 있다. 하지만 우리나라에서는 원전부지에 대하여 PMP 등의 이상강우 조건 하에서 수공학적 안정도 평가와 국가 주요시설물 부지의 침수해석기법의 개발은 아직까지 전무한 실정이다. 따라서 본 연구에서는 원전부지 내에 영향을 미치는 극한강우를 다양한 기법으로 산정하여 가장 큰 피해를 미치는 극한강우 사상을 도출하였다. 도출한 극한강우를 유역유출분석을 통해 실제 원전부지 내로의 유입 경계조건으로 고려하여 2차원 침수해석을 실시하였다. 2차원 침수해석을 위해 원전부지 내 주요시설물, 도로, 하수관망 및 구조물 등을 반영하여 지형자료를 구축하였으며, 유출분석을 통해 유입되는 극한홍수량 외에 원전부지 내로 내리는 직접 강우도 함께 고려하였다. 그 결과를 통해 원전부지 내 침수심 및 유속 분포 등의 침수정보를 제공할 수 있는 침수위험도를 작성하였다. 본 연구를 통해 원전부지 내의 극한강우 산정 및 그로인한 침수위험도 작성으로 원전부지의 방재대책 수립시 기초자료로써 제공될 수 있을 것으로 판단된다.

• Proceedings of the Korea Society for Energy Engineering kosee Conference
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• 2004.05a
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• pp.395-400
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• 2004

This study is that STEP based Data Repository of APR1400 Nuclear Power Plant Reactor Coolant System is developed. The STEP based Data Repository is accessed by Web-based and an attribute data of Reactor Coolant System Equipment is offered. Also, a P&ID drawing file & 3D CAD Model of Reactor Coolant System is loaded. The P&ID drawing file of Reactor Coolant System Equipment Model is connected with 3D CAD Model file. This 2D/3D CAD Model connected Prototype system confirms a real layout of Reactor Coolant System.

• Transactions of the Korean Society of Mechanical Engineers
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• v.16 no.7
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• pp.1294-1306
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• 1992

In order to determine the design parameters and processing conditions in injection molding, it is very important to establish the theoretical model with scientific base. In this study, a two dimensional model has been developed for the purpose and flow simulations of filling process are carried out. The moving boundary transient flow problem along the flat plane is solved efficiently by the Iterative Boundary Pressure Reflection Method which rearranges the impinged melt front along the physical boundary in scientific manner. The two dimensional modeling of filling process is applied to two examples : a three dimensional cover with two screw holes and a two-gated flat cavity with unbalanced runners. The numerical results show good agreement with experimental short shots, especially for the weldline locations and the pressure traces at various locations. They also provide the temperature, clamp force, and velocity field in the mold at different times during filling of cavity.

• Journal of Broadcast Engineering
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• v.28 no.3
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• pp.329-332
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• 2023

3D Object Detection using deep neural network has been developed a lot for obstacle detection in autonomous vehicles because it can recognize not only the class of target object but also the distance from the object. But in the case of 3D Object Detection models, the detection performance for distant objects is lower than that for nearby objects, which is a critical issue for autonomous vehicles. In this paper, we introduce a technique that increases the performance of 3D object detection models, particularly in recognizing distant objects, by generating virtual 3D vehicle data and adding it to the dataset used for model training. We used a spherical point tracing method that leverages the characteristics of 3D LiDAR sensor data to create virtual vehicles that closely resemble real ones, and we demonstrated the validity of the virtual data by using it to improve recognition performance for objects at all distances in model training.