• Title/Summary/Keyword: Global motion

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Flood Impact Pressure Analysis of Vertical Wall Structures using PLIC-VOF Method with Lagrangian Advection Algorithm

  • Phan, Hoang-Nam;Lee, Jee-Ho
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.23 no.6
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    • pp.675-682
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    • 2010
  • The flood impact pressure acting on a vertical wall resulting from a dam-breaking problem is simulated using a navier-Stokes(N-S) solver. The N-S solver uses Eulerian Finite Volume Method(FVM) along with Volume Of Fluid(VOF) method for 2-D incompressible free surface flows. A Split Lagrangian Advection(SLA) scheme for VOF method is implemented in this paper. The SLA scheme is developed based on an algorithm of Piecewise Linear Interface Calculation(PLIC). The coupling between the continuity and momentum equations is affected by using a well-known Semi-Implicit Method for Pressure-Linked Equations (SIMPLE) algorithm. Several two-dimensional numerical simulations of the dam-breaking problem are presented to validate the accuracy and demonstrate the capability of the present algorithm. The significance of the time step and grid resolution are also discussed. The computational results are compared with experimental data and with computations by other numerical methods. The results showed a favorable agreement of water impact pressure as well as the global fluid motion.

A Time Domain Calculation for the TLP(Tension Leg Platform) (인장각 플랫폼(Tension Leg Platform)에 대한 시간 영역 계산)

  • Park, Tae-Hyun;Cho, Jin-Wook
    • Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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    • 2002.10a
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    • pp.256-260
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    • 2002
  • This report summarizes the results of global performance analysis of TLP(Tension Leg Platform) at in-place operation condition. The frequency and time domain analysis were performed to calculate the wave induced dynamic responses of TLP using the commercial 3-D diffraction program, MOSES. As results of the analysis, air-gap, excursion and tension on the tendons&risers were provided. For verifying, the existed numerical and experimental result were compared with the results of the present study.

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Singular Value Decomposition Approach to Observability Analysis of GPS/INS

  • Hong, Sin-Pyo;Chun, Ho-Hwan
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • v.1
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    • pp.133-138
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    • 2006
  • Singular value decomposition (SDV) approach is applied to the observability analysis of GPS/INS in this paper. A measure of observability for a subspace is introduced. It indicates the minimum size of perturbation in the information matrix that makes the subspace unobservable. It is shown that the measure has direct connections with observability of systems, error covariance, and singular structure of the information matrix. The observability measure given in this paper is applicable to the multi-input/multi-output time-varying systems. An example on the observability analysis of GPS/INS is given. The measure of observability is confirmed to be less sensitive to system model perturbation. It is also shown that the estimation error for the vertical component of gyro bias can be considered unobservable for small initial error covariance for a constant velocity horizontal motion.

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Improved image alignment algorithm based on projective invariant for aerial video stabilization

  • Yi, Meng;Guo, Bao-Long;Yan, Chun-Man
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.9
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    • pp.3177-3195
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    • 2014
  • In many moving object detection problems of an aerial video, accurate and robust stabilization is of critical importance. In this paper, a novel accurate image alignment algorithm for aerial electronic image stabilization (EIS) is described. The feature points are first selected using optimal derivative filters based Harris detector, which can improve differentiation accuracy and obtain the precise coordinates of feature points. Then we choose the Delaunay Triangulation edges to find the matching pairs between feature points in overlapping images. The most "useful" matching points that belong to the background are used to find the global transformation parameters using the projective invariant. Finally, intentional motion of the camera is accumulated for correction by Sage-Husa adaptive filtering. Experiment results illustrate that the proposed algorithm is applied to the aerial captured video sequences with various dynamic scenes for performance demonstrations.

Implementation of An Embedded Platform-Based ATSC Mobile Broadcasting Multiplexer (임베디드 플렛폼 기반 미국향 모바일방송 다중화기 설계 및 구현)

  • Kwon, KiWon;Park, KyungWon;KIm, HyunSik;Lee, YounSung
    • IEMEK Journal of Embedded Systems and Applications
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    • v.6 no.2
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    • pp.93-99
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    • 2011
  • In this paper, an ATSC(Advanced Television Standard Committee)-M/H(Mobile/Handheld) multiplexer is designed and implemented using an embedded Linux based hardware platform. The ATSC-M/H multiplexer is composed of a CPU(Central Processor Unit), an FPGA(Field-Programmable Gate Array), ASI(Asynchronous Serial Interface)/SMPTE310(Society of Motion Picture and Television Engineers310) interface board, and a GPS(Global Position System) clock processing block. The main functions of the ATSC-M/H multiplexer executed in the CPU and FPGA are described. The operation of the ATSC-M/H multiplexer is verified by processing its broadcast signal on a commercial receiver analyzer.

Pedestrian Navigation System in Mountainous non-GPS Environments

  • Lee, Sungnam
    • Journal of information and communication convergence engineering
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    • v.19 no.3
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    • pp.188-197
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    • 2021
  • In military operations, an accurate localization system is required to navigate soldiers to their destinations, even in non-GPS environments. The global positioning system is a commonly used localization method, but it is difficult to maintain the robustness of GPS-based localization against jamming of signals. In addition, GPS-based localization cannot provide important terrain information such as obstacles. With the widespread use of embedded sensors, sensor-based pedestrian tracking schemes have become an attractive option. However, because of noisy sensor readings, pedestrian tracking systems using motion sensors have a major drawback in that errors in the estimated displacement accumulate over time. We present a group-based standalone system that creates terrain maps automatically while also locating soldiers in mountainous terrain. The system estimates landmarks using inertial sensors and utilizes split group information to improve the robustness of map construction. The evaluation shows that our system successfully corrected and combined the drift error of the system localization without infrastructure.

A Study on the Controller Design of Unmanned Surface Vessel through Repetitive Learning Method (반복 학습을 통한 무인 선박의 제어기 설계에 관한 연구)

  • Kim, Mincheul
    • Journal of the Korea Institute of Military Science and Technology
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    • v.21 no.6
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    • pp.850-856
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    • 2018
  • In this paper, a controller based on repetitive learning control is designed to control an unmanned surface vessel with nonlinear characteristics and unknown parameters. First, we define the equations of motion and error system of the unmanned vessel, and then design an repetitive learning controller composed of system error and estimated unknown parameters based on repetitive learning control and adaptive control. The stability of the unmanned vessel model controlled by the designed controller is verified through the analysis of the Lyapunov stability. Simulation shows that the error converges asymptotically to zero with semi-global result, confirming that the unmanned vessel is moving toward a given ideal path, and verifies that the controller is also feasible.

Opening Title Production of 'DMZ Coexistence', Global 4K Special Documentary of KTV

  • Hyunhee, Cha;Hakjae, Lee
    • International Journal of Advanced Culture Technology
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    • v.10 no.4
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    • pp.226-227
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    • 2022
  • The most dangerous and safest place, the busiest and most serene place, the DMZ where the wounds of the bitter war melt away, but at the same time contain life and healing. In this space of paradox, we now want to look at 'peace'. The KTV documentary 'DMZ Coexistence' is made in the form of a human road documentary that consists of various perspectives looking at the DMZ, various characters, and the most unknown Korean story materials, and the stories related to the performers in UHD 4K. In this study, we will show the process of creating an 'opening title' of 'DMZ Coexistence' captured in 4k and make it usable in academia and industry in the future.

Study on Optimal Design of Fault-Tolerant Spatial Redundant Manipulators (고장에 견디는 공간형 여유자유도 매니퓰래이터의 최적설계에 관한 연구)

  • Kim, Whee-Kuk;Kim, Dong-Ku;Yi, Byung-Ju
    • Journal of the Korean Society for Precision Engineering
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    • v.13 no.4
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    • pp.97-108
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    • 1996
  • Optimal design of fault-tolerant, spatial type redundant manipulators is treated in this paper. Design objective is to guarantte three degree-of -freedom translational motions in the task space, upon failure of one arbitrary joint of 4 degree-of-freedom manipulators. Noticing the nonfault-tolerant characteristics of current, wrist-type industrial manipulators, five different fault-tolerant spatial-type manipulators which have 4 degree-of-freedom structures with one joint redundancy are suggested. Faault-tolerant character-sitics of two redundant manipulators anr investigated based on the analysis of the self-motion and the null-space elements. Finally, in order to maximize the fault-tolerant capability, optimal design is performed for a spatial-type manipulator with respect to the global isotropic index, and the performance enhancement of the optimized case is shown by simulation.

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G-PCC based Global Motion Compression Method Using Histogram-Based Point Cloud Classification (히스토그램 기반 포인트 클라우드 분할을 활용한 G-PCC 기반의 전역 움직임 압축 방안)

  • Kim, Junsik;Hwang, Yonghae;Kim, Kyuheon
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2021.06a
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    • pp.157-160
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    • 2021
  • 프레임 단위 LiDAR (Light Detection And Ranging) 기반의 포인트 클라우드는 프레임 간 상관 관계가 높기 때문에 프레임 사이의 예측 기법을 사용하여 더 높은 압축 효율을 얻을 수 있으며, 이를 위해 MPEG의 G-PCC는 Inter-EM (Inter-Exploratory Model)의 표준화를 진행하고 있다. 특히, Inter-EM은 LiDAR 기반 포인트 클라우드의 이러한 특성을 효율적으로 압축하기 위해 전역 및 지역 움직임을 모두 고려하여 압축하는 구조로 설계되었다. 이 중 전역 움직임은 LiDAR 센서가 장착된 차량의 움직임으로 인해 발생되므로, 포인트 클라우드 내 모든 물체들이 동일한 움직임을 나타낼 것으로 예상된다. 하지만, LiDAR 기반 포인트 클라우드는 포인트 클라우드 내 점들의 특성에 따라서 전역 움직임이 나타나는 양상이 다르다. 본 논문은 이러한 LiDAR 기반 포인트 클라우드의 특성을 설명하고, LiDAR 기반 포인트 클라우드 압축 시 전역 움직임 압축을 위한 포인트 클라우드 분할 방안에 대해 제안한다. 본 논문에서 제안하는 포인트 클라우드 분할 방안을 활용한 전역 움직임 압축 시 기존 Inter-EM 대비 더 효율적인 압축이 가능하다.

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