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Instability of Nanoscale Thin Film;a Molecular Dynamics Study (분자동역학 전산모사를 이용한 박막의 불안정성 및 나노 구조물 형성에 관한 연구)

  • Han, Min-Sub;Lee, Joon-Sik;Park, Seung-Ho;Choi, Young-Ki
    • Proceedings of the KSME Conference
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    • 2003.11a
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    • pp.228-232
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    • 2003
  • It has recently been shown that the instability of thin film of a nanoscale can be used in the processes of building nano-size structures, which have potential practical importance in nanotechnology. Molecular dynamics simulation is conducted to probe the thin fluid film of a nano-size and its dynamic behavior during destabilization and structure formation. Non-continuum characteristics are shown in the properties like pressure tensor, viscosity, and thermal conductivity. The thermocapillary force induces a slow growth of long waves in the scale considered. A long-range interaction with the solid wall induces vertical structures, whose formation time and space between neighbors are proportional to the strength of the interaction.

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LLL Algorithm Aided Double Sphere MIMO Detection (LLL 알고리즘 기반 이중 스피어 MIMO 수신기)

  • Jeon, Myeongwoon;Lee, Jungwoo
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2012.07a
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    • pp.377-380
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    • 2012
  • 격자 감소 (lattice reduction) 알고리즘은 주어진 기저 벡터를 직교에 가까운 기저 벡터로 바꾸어 준다. 그중 대표적인 알고리즘으로 LLL (Lenstra, Lenstra & Lovasz) 알고리즘이 있다. 격자 감소 알고리즘을 이용하여 다중 안테나 입출력 (MIMO) 통신시스템의 선형 수신기(linear detector)의 성능을 향상 시킬 수 있다. 스피어 복호 알고리즘 (sphere decoding algorithm)은 MIMO 통신 시스템에서 사용되는 복호기중 최대 우도 복호기 (Maximum Likelihood Detector)와 비슷한 BER(bit error rate)성능을 가지고 복잡도를 줄일 수 있어서 많이 연구되어 왔다. 이때 스피어의 반지름의 설정이나 트리 검색 구조 방식 등은 복잡도에 큰 영향을 미친다. 본 논문에서는 LLL 알고리즘에 기반하여 스피어의 반지름 설정 및 트리 검색 노드 수를 제한하는 방식으로 스피어 복호 알고리즘의 복잡도를 기존 알고리즘에 비해 크게 낮추면서도 비트 오류률 (BER) 성능 열화를 최소한으로 한 알고리즘을 제안하고 전산 실험을 통해 검증한다.

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A Study on the Performance Improvement in Equalization of DTV using DCT HLMS DFE (DCT HLMS DFE를 이용한 DTV 등화 성능 개선 연구)

  • 김재욱;서종수
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2002.11a
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    • pp.27-30
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    • 2002
  • 본 논문은 8VSB 방식의 디지털 지상파 TV 시스템에서 수신 채널 등화기의 수렴속도와 MSE(Mean Square Error) 성능을 개선하기 위하여 DCT HLMS DFE(Discrete Cosine Transform Hierarchical Least Mean Square)를 제안한다. 즉, 다중경로 수신 환경에서 수신 신호의 왜곡 및 지연에 따른 입력 데이터에 대한 고유값 확산을 감소하기 위하여 DCT와 전력추정 알고리즘을 사용하고 또한, LMS(Least Mean Square) DFE를 계층적 구조의 서브필터로 변형함으로써 수신 데이터상관 행렬의 고유값 범위를 줄인다. 전산모의 실험 결과 제안한 DCT HLMS DFE는 ATTC(Advanced Television Test Center)가 제시한 디지털 지상파 TV 방송 채널 중 A 채널 하에서 기존의 LMS DFE 보다 수렴속도와 MSE 성능이 개선됨을 알 수 있다.

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미래전 분석을 위한 간이모형 개발

  • 문형곤
    • Proceedings of the Korea Society for Simulation Conference
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    • 1998.03a
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    • pp.32-32
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    • 1998
  • 과거의 전쟁은 재래식 무기에 의존한 화력전이었지만, 미래의 전쟁은 C4I와 전략무기의 중요성이 강조되는 정보전으로 변화될 것으로 예상된다. 현재 활용중인 대부분의 워게임 모형들은 대형전산기 위주로 개발되었으므로, 정보전 개념을 모의하기 위해서는 모형의 논리구조 개선과 영상전시기능 보완이 요구되고 있다. 하지만 기존 워게임 모형 개선은 최신개발 모형과의 상호 호환성 및 재사용성 측면에서 많은 제약이 따르게 된다. 따라서 세계 각국은 국방모의체계(DM&S)의 발전을 위한 자체적인 종합계획을 수립하여 미래전장에서 적용될 첨단무기체계 효과 분석을 위한 모형을 개발하고 있다. 한국국방연구원은 미래전쟁 양상을 신속하게 분석할 수 있으며, PC에서 운용이 가능한 간이분석모형의 개발을 추진하고 있다. 본고에서는 미래전 분석을 위한 간이모형 개발에 적용된 방법론과 운용논리, 모형검증 기법 등을 소개하고 향후 개발모형의 활용방안을 제시하고자 한다.

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Coupled Flexible Multi-Body Dynamics and Controller Analysis of Machine Tool (공작기계의 유연 다물체 동역학 및 제어기 연계해석)

  • Kim, Dong-Man;Kim, Dong-Hyun;Park, Kang-Kyun;Choi, Hyun-Chul
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.19 no.3
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    • pp.307-312
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    • 2010
  • In this study, advanced computational technique for mechatronic analysis has been developed for the efficient design and test of typical machine tool models. Flexible multi-body dynamic (FMBD) analysis method combined with motion controller including control logics is used to simulate typical operation conditions. The present FMBD machine tool model is composed of flexible column structure, rigid body spindle, vertical motion guide (arm) and screw elements. Driving motor clement with rotating degree-of-freedom is interconnected and governed by the designed Matlab Simulink control logic, and then the position of the spindle is feedback into the control logic. It is practically shown from the results that the investigation of designed machine tools with controller can be effectively conducted and verified.

Material and Geometric Nonlinear Analysis of Plane Structure Using Co-rotational Fiber-section Beam Elements (동시회전의 화이버 단면 보 요소를 이용한 평면 구조물의 재료 및 기하 비선형 해석)

  • Kim, Jeongsoo;Kim, Moon Kyum
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.30 no.3
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    • pp.255-263
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    • 2017
  • This paper presents a beam element capable of conducting material and geometric nonlinear analysis for applications requiring the ultimate behavioral analysis of structures with composite cross-sections. The element formulation is based on co-rotational kinematics to simulate geometrically nonlinear behaviors, and it uses the fiber section method to calculate the stiffness and internal forces of the element. The proposed element was implemented using an in-house numerical program in which an arc-length method was adopted to trace severe nonlinear responses(such as snap-through or snapback), as well as ductile behavior after the peak load. To verify the proposed method of element formulation and the accuracy of the program that was used to employ the element, several numerical studies were conducted and the results from these numerical models were compared with those of three-dimensional continuum models and previous studies, to demonstrate the accuracy and computational efficiency of the element. Additionally, by evaluating an example case of a frame structure with a composite member, the effects of differences between composite material properties such as the elastic modulus ratio and strength ratio were analyzed. It was found that increasing the elastic modulus of the external layer of a composite cross-section caused quasi-brittle behavior, while similar responses of the composite structure to those of homogeneous and linear materials were shown to increase the yield strength of the external layer.

Low-Voltage EM(Elasto-Magnetic) Sensing Technique for Tensile Force Management of PSC(Prestressed Concrete) Internal Tendon (PSC 내부 텐던의 긴장력 관리를 위한 저전압 EM 센싱 기법)

  • Park, Jihwan;Kim, Junkyeong;Eum, Ki-Young;Park, Seunghee
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.32 no.2
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    • pp.87-92
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    • 2019
  • In this paper, we have verified a low-voltage EM(elasto-magnetic) sensing technique for tensile force management of PSC(prestressed concrete) internal tendon in order to apply the technique to actual construction sites where stable power supply is difficult. From observation of past domestic and overseas PSC structural accident cases, it was found that PS tension is very important to maintain structural stability. In this paper, we have tried to measure the tensile force from a magnetic hysteresis curve through EM sensors according to voltage value by using relation between magnetostriction and stress of ferromagnetic material based on elastic-magnetic theory. For this purpose, EM sensor of double cylindrical coil type was fabricated and tensile force test equipment for PS tendon using hydraulic tensioning device was constructed. The experiment was conducted to confirm relationship between changes of permeability and tensile force from the measurement results of the maximum / minimum voltage amount. The change of magnetic hysteresis curve with magnitude of tensile force was also measured by reducing amount of voltage step by step. As a result, the slope of estimation equation in accordance with magnitude of magnetic field decreases with the voltage reduction. But it was confirmed a similar pattern of change of magnetic permeability for the magnetic hysteresis loop. So, in this study, it is considered that it is possible to manage the tensions of PSC internal tendon using EM sensing technique in low-voltage state.

A Propose on Seismic Performance Evaluation Model of Slope using Artificial Neural Network Technique (인공신경망 기법을 이용한 사면의 내진성능평가 모델 제안)

  • Kwag, Shinyoung;Hahm, Daegi
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.32 no.2
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    • pp.93-101
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    • 2019
  • The objective of this study is to develop a model which can predict the seismic performance of the slope relatively accurately and efficiently by using artificial neural network(ANN) technique. The quantification of such the seismic performance of the slope is not easy task due to the randomness and the uncertainty of the earthquake input and slope model. Under these circumstances, probabilistic seismic fragility analyses of slope have been carried out by several researchers, and a closed-form equation for slope seismic performance was proposed through a multiple linear regression analysis. However, a traditional statistical linear regression analysis has shown a limit that cannot accurately represent the nonlinearistic relationship between the slope of various conditions and seismic performance. In order to overcome these problems, in this study, we attempted to apply the ANN to generate prediction models of the seismic performance of the slope. The validity of the derived model was verified by comparing this with the conventional multi-linear and multi-nonlinear regression models. As a result, the models obtained through the ANN basically showed excellent performance in predicting the seismic performance of the slope, compared to the models obtained by the statistical regression analyses of the previous study.

Suggestions for Enhancing Sampling-Based Approach of Seismic Probabilistic Risk Assessment (샘플링기반 지진 확률론적 리스크평가 접근법 개선을 위한 제언)

  • Kwag, Shinyoung;Eem, Seunghyun;Choi, Eujeong;Ha, Jeong Gon;Hahm, Daegi
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.34 no.2
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    • pp.77-84
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    • 2021
  • A sampling-based approach was devised as a nuclear seismic probabilistic risk assessment (SPRA) method to account for the partially correlated relationships between components. However, since this method is based on sampling, there is a limitation that a large number of samples must be extracted to estimate the results accurately. Thus, in this study, we suggest an effective approach to improve the existing sampling method. The main features of this approach are as follows. In place of the existing Monte Carlo sampling (MCS) approach, the Latin hypercube sampling (LHS) method that enables effective sampling in multiple dimensions is introduced to the SPRA method. In addition, the degree of segmentation of the seismic intensity is determined with respect to the final seismic risk result. By applying the suggested approach to an actual nuclear power plant as an example, the accuracy of the results were observed to be almost similar to those of the existing method, but the efficiency was increased by a factor of two in terms of the total number of samples extracted. In addition, it was confirmed that the LHS-based method improves the accuracy of the solution in a small sampling region.

SPH-Based Wave Tank Simulations (SPH 기법 기반의 파동수조 시뮬레이션)

  • Lee, Sangmin;Kim, Mujong;Ko, Kwonhwan;Hong, Jung-Wuk
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.34 no.1
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    • pp.59-69
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    • 2021
  • Recently, large-scale offshore and coastal structures have been constructed owing to the increasing interest in eco-friendly energy development. To achieve this, precise simulations of waves are necessary to ensure the safe operations of marine structures. Several experiments are required in the field to understand the offshore wave; however, in terms of scale, it is difficult to control variables, and the cost is significant. In this study, numerical waves under various wave conditions are produced using a piston-type wavemaker, and the produced wave profiles are verified by comparing with the results from a numerical wave tank (NWT) modeled using the smoothed particle hydrodynamics (SPH) method and theoretical equations. To minimize the effect by the reflected wave, a mass-weighted damping zone is set at the right end of the NWT, and therefore, stable and uniform waves are simulated. The waves are generated using the linear and Stokes wave theories, and it is observed that the numerical wave profiles calculated by the Stokes wave theory yield high accuracy. When the relative depth is smaller than two, the results show good agreement irrespective of the wave steepness. However, when the relative depth and wave steepness are larger than 2 and 0.04, respectively, the errors are negligible if the measurement position is close to the excitation plate. However, the error is 10% or larger if the measurement position is away from the excitation location. Applicable target wave ranges are confirmed through various case studies.