• Title/Summary/Keyword: domain engineering

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Reduction of Residual Vibration for 2 Axes Overhead Crane by Input Shaping (입력성형기법에 의한 2축 천정크레인의 잔류진동 감소)

  • 박운환;이재원;노상현
    • Journal of the Korean Society for Precision Engineering
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    • v.17 no.4
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    • pp.181-188
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    • 2000
  • Input shaping is a method fur reducing residual vibration. Vibration is eliminated by convolving an input shaper, which is a sequence of impulses, with the desired system command. It has been applied to robot with a flexible manipulator. But it can be applied to the reduction of residual vibration far overhead crane. In this paper, input shaping shows good performance for anti-sway of overhead crane. In the z-domain, we designed an input shaper and calculated the sensitivity of it. If sensitivity is calculated in the z-domain, the shapes of sensitivity curves are expected easily. Accordingly, it is easy to design an input shaper in the z-domain. We compared the response of a system with shaper to it without that. Also, we compared El shaper to ZV shaper in view of robustness.

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A Study on the Electromagnetic wave properties of microstrip antenna using finite difference time domain method (FDTD법을 이용한 마이크로스트립 안테나의 전자파 특성에 관한 연구)

  • 홍용인;정명덕;홍성일;이흥기
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.2 no.4
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    • pp.653-660
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    • 1998
  • The purpose of this paper is to analyze the electromagnetic field characteristics of microstrip array antenna with the FDTD(finite difference-time domain method). Finite difference equations of Maxwell's equations are defined in rectangular coordinate systems. To simulate the unbounded problem like a free space, the Mur's absorbing boundary condition is also used. After modeling the microstrip array antenna with the grid structure, the transient response of the field distribution is depicted in the time domain.

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A Study on Adaptive Filter Bank using Neural Networks in Time Domain (신경망을 이용한 적응 다중 대역 필터 설계)

  • 이건기;이주원;김광열;방만식;이병로;김영일
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.7 no.4
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    • pp.673-677
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    • 2003
  • In this study, we propose the new filter bank that is adaptive filter bank using neural networks in time domain. Also, we proposed a new filter neuron as neuron with filter window, the structure and algorithm for filter banks. The performance of neural filter banks is shown from two examples. It show characteristics the simple structure and higher speed processing than traditional methods (filter banks in frequency domain, etc.). In many applications, the proposed method will provide the high performance to features detection of signals in time domain.

Fatigue Strength Analysis of Propulsion Shafting System with Two Stroke Low Speed Diesel Engine by Torsional Vibration in Frequency Domain (주파수 영역에서 비틀림진동에 의한 저속 2행정 디젤엔진을 갖는 추진축계의 피로강도 해석)

  • Kim, S.H.;Lee, D.C.
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2007.05a
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    • pp.416-422
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    • 2007
  • Prime movers in most large merchant ships adapt two stroke low speed diesel engine which has higher efficiency, mobility and durability. However, severe torsional vibration in these diesel engines may be induced by higher fluctuation of combustion pressures. Consequently, it may lead sometimes to propulsion shafting failure due to the accumulated fatigue stresses. Shaft fatigue strength analysis had been done traditionally in time domain but this method is complicated and difficult in analysing bi-modal vibration system such as the case of cylinder misfiring condition. In this paper authors introduce an assessment method of fatigue strength estimation for propulsion shafting system with two stroke low speed diesel engine in the frequency domain.

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Comparative study on modal identification methods using output-only information

  • Yi, Jin-Hak;Yun, Chung-Bang
    • Structural Engineering and Mechanics
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    • v.17 no.3_4
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    • pp.445-466
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    • 2004
  • In this paper, several modal identification techniques for output-only structural systems are extensively investigated. The methods considered are the power spectral method, the frequency domain decomposition method, the Ibrahim time domain method, the eigensystem realization algorithm, and the stochastic subspace identification method. Generally, the power spectral method is most widely used in practical area, however, the other methods may give better estimates particularly for the cases with closed modes and/or with large measurement noise. Example analyses were carried out on typical structural systems under three different loading cases, and the identification performances were examined throught the comparisons between the estimates by various methods.

Revision on the Frequency Domain Conditions for Strict Positive Realness

  • Moghaddam Mojtaba Hakimi;Khaloozadeh Hamid
    • International Journal of Control, Automation, and Systems
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    • v.5 no.1
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    • pp.1-7
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    • 2007
  • In this paper, the necessary and sufficient conditions for strict positive realness of the rational transfer functions directly from basic definitions in the frequency domain are studied. A new frequency domain approach is used to check if a rational transfer function is a strictly positive real or not. This approach is based on the Taylor expansion and the Maximum Modulus Principle which are the fundamental tools in the complex functions analysis. Four related common statements in the strict positive realness literature which is appeared in the control theory are discussed. The drawback of these common statements is analyzed through some counter examples. Moreover a new necessary condition for strict positive realness is obtained from high frequency behavior of the Nyquist diagram of the transfer function. Finally a more simplified and completed conditions for strict positive realness of single-input single-output linear time-invariant systems are presented based on the complex functions analysis approach.

Performance of Channel Estimation in Two-Dimensional Modulation System

  • Nguyen, Quoc Kien;Jeon, Taehyun
    • International journal of advanced smart convergence
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    • v.9 no.3
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    • pp.137-140
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    • 2020
  • Orthogonal time frequency space (OTFS) modulation is considered as one of the solutions to cope with high mobility channel environments. It converts the time-varying channel to the near-constant channel response in the delay-Doppler domain. This modulation scheme also benefits from the diversity in two-dimensional modulation. According to recent researches, this method outperforms the conventional OFDM modulation, especially in high-speed channel conditions. In this paper, to investigate the performance of OTFS in a practical system, channel estimation in the delay-Doppler domain is compared with the conventional method in the time-frequency domain at different mobile speeds. Simulation results confirm that the delay-Doppler domain channel estimation brings a better performance compared to the conventional one under the same overhead rate.

$LiNbO_{3}$ single crystals growth by the continuous growth method (Orrms method) : (II) On the domain structure (연속성장법(Orrms method)에 의한 $LiNbO_{3}$ 단결정 성장 : (II) Domain 구조 관찰을 중심으로)

  • Joo, Kyung;Auh, Keun-Ho
    • Journal of the Korean Crystal Growth and Crystal Technology
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    • v.6 no.3
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    • pp.301-308
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    • 1996
  • Domain structure and properties of LiNbO3 single crystals grown by continuous method (Orr's method) were characterized. It was found that the growth striation of the grown crystals correspond with domain structure and the positive-negative domains were repeated with the perpendicular direction to the C axes. The formation of negative domains were related to the rapid crystal growth rate. The measured dielectric constant of the grown crystal was 140∼150 at 100 kHz at the room temperature and Curie point was 1153℃.

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Three Dimensional Segmentation in PCNN

  • Nishi, Naoya;Tanaka, Masaru;Kurita, Takio
    • Proceedings of the IEEK Conference
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    • 2002.07b
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    • pp.802-805
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    • 2002
  • In the three-dimensional domain image expressed with two-dimensional slice images, such as fMRI images and multi-slice CT images, we propose the three-dimensional domain automatic segmentation for the purpose of extracting region. In this paper, we segmented each domain from the fMRI images of the head of people and monkey. We used the neural network "Pulse-Coupled Neural Network" which is one of the models of visual cortex of the brain based on the knowledge from neurophysiology as the technique. By using this technique, we can segment the region without any learning. Then, we reported the result of division of each domain and extraction to the fMRI slice images of human's head using "three-dimensional Pulse-Coupled Neural Network" which is arranged and created the neuron in the shape of a three-dimensional lattice.

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A STUDY ON THE GRID GENERATION FOR TWO-DIMENSIONAL FLOW USING A POTENTIAL SOLVER (포텐셜 해석자를 이용한 2차원 유동의 격자 생성 연구)

  • Lee, J.;Jung, K.
    • Journal of computational fluids engineering
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    • v.21 no.1
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    • pp.36-42
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    • 2016
  • One of the obstacles on the grid generation for complex geometries with multi-block structured grids is the domain decomposition. In this paper, the domain decomposition for two-dimensional flow is studied using the flow characteristics. The potential flow equation with the source distribution on the panel surface is solved to extract the information of the flow. The current approach is applied to a two-dimensional cylinder and Bi-NACA0012 problems. The generated grids are applied to generic flow solvers and reasonable results are obtained. It can be concluded that the current methods is useful in the domain decomposition for the multi-block structured grid.