• Title/Summary/Keyword: effective size

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Morphological Grayscale Reconstruction Based on the Region Size and Brightness Contrast (영역의 크기와 휘도값의 대조를 고려한 수리형태학적 영상재구성)

  • 김태현;문영식
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1999.11b
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    • pp.3-8
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    • 1999
  • In this paper, we propose a new connected operator using morphological grayscale reconstruction for region-based coding. First, an effective method of reference-image creation is proposed, which is based on the size as well as the contrast. The conventional connected operators are good for removing small regions, but have a serious drawback for low-contrast regions that are larger than the structuring element. That is, when the conventional connected operators are applied to these regions. the simplification becomes less effective or several meaningful regions are merged to one region. To avoid this, the conventional geodesic dilation is modified to propose an adaptive operator. To reduce the effect of inappropriate propagation, pixels reconstructed to the original values are excluded in the dilation operation. Experimental results have shown that the proposed algorithm achieves better performance in terms of the reconstruction of flat zones. The picture quality has also been improved by about 7dB, compared to the conventional methods.

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Effective Analysis for Rapidly Varying Flows through Improvement in Spatial Discretization of Horizontal Advection Terms (수평 이류항의 공간이산화 개선을 통한 급변 유동의 효율적 해석)

  • Hong, Namseeg
    • Journal of Ocean Engineering and Technology
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    • v.28 no.4
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    • pp.324-330
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    • 2014
  • In this study, the numerical model developed by Hong et al.(2008) was improved to be applied to rapidly varying flows such as the inundation of dry land or flow transitions due to large gradients of the bathymetry. A numerical approximation was applied that was consistent with the conservation of momentum in flow expansions and with the Bernoulli equation in flow contractions. The approximation was second order, but the accuracy reduced to first order near extreme values by the use of a minmod limiter. The modified model was verified by acomparison with the theoretical critical depth of weir, and for sufficiently smooth conditions and a fine grid size, both approximations converged to the same solution. In terms of the grid size, it was more effective at obtaining solutions than the previous model and reproduced the inundation of dry land.

Non-Destructive Evaluation of Separation and Void Defect of a Pneumatic Tire by Speckle Shearing Interferometry

  • Kim, Koung-Suk;Kang, Ki-Soo;Jung, Hyun-Chul;Ko, Na-Kyong
    • Journal of Mechanical Science and Technology
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    • v.18 no.9
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    • pp.1493-1499
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    • 2004
  • This paper describes the speckle shearing interferometry, a non-destructive optical method, for quantitative estimation of void defect and monitoring separation defect inside of a pneumatic tire. Previous shearing interferometry has not supplied quantitative result of inside defect, due to effective factors. In the study, factors related to the details of an inside defect are classified and optimized with pipeline simulator. The size and the shape of defect can be estimated accurately to find a critical point and also is closely related with shearing direction. The technique is applied for quantitative estimation of defects inside of a pneumatic tire. The actual traveling tire is monitored to reveal the cause of separation and the starting points. And also unknown void defects on tread are inspected and the size and shape of defects are estimated which has good agreement with the result of visual inspection.

Effective Artificial Neural Network Approach for Non-Binary Incidence Matrix-Based Part-Machine Grouping (비이진 연관행렬 기반의 부품-기계 그룹핑을 위한 효과적인 인공신경망 접근법)

  • Won, You-Kyung
    • Journal of the Korean Operations Research and Management Science Society
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    • v.31 no.4
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    • pp.69-87
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    • 2006
  • This paper proposes an effective approach for the part-machine grouping(PMG) based on the non-binary part-machine incidence matrix in which real manufacturing factors such as the operation sequences with multiple visits to the same machine and production volumes of parts are incorporated and each entry represents actual moves due to different operation sequences. The proposed approach adopts Fuzzy ART neural network to quickly create the Initial part families and their machine cells. A new performance measure to evaluate and compare the goodness of non-binary block diagonal solution is suggested. To enhance the poor solution due to category proliferation inherent to most artificial neural networks, a supplementary procedure reassigning parts and machines is added. To show effectiveness of the proposed approach to large-size PMG problems, a psuedo-replicated clustering procedure is designed. Experimental results with intermediate to large-size data sets show effectiveness of the proposed approach.

Visualization of Delamination Region in Concrete Structures using Mode Shapes of Delaminated Concrete Section (I) : Modal Test (박리된 콘크리트의 진동 모드 형상을 이용한 콘크리트 구조물 박리 손상 영역 가시화 (I) : 모드 시험)

  • Oh, Taekeun;Shin, Sung Woo
    • Journal of the Korean Society of Safety
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    • v.28 no.5
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    • pp.21-26
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    • 2013
  • Delamination of cover concrete due to re-bar corrosion is a critical damage reducing structural safety of reinforced concrete structures. Therefore, it should be detected and evaluated to provide appropriate maintenance to recover structural integrity. Impact-echo method, which utilizes thickness vibration characteristics of delaminated concrete section, is effective for detection and evaluation of small areal size delamination. However, it may not be applicable for large areal size delamination in which flexural vibration modes are dominated. In this study, applicability of vibration mode shapes of delaminated concrete section is investigated for visualization of delamination region in concrete structures. Numerical and experimental modal tests are performed to estimate mode shapes of delaminated concrete section and linear absolute summation technique is proposed for effective visualization of delamination region based on estimated mode shapes.

Application of Response Surface Methodology for optimize the Biostimulant ball and stabilize Heavy metals pollutants in contaminated coastal sediments

  • Song, Young-chae;Subha, Bakthacachallam;Woo, Jung Hui
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2015.07a
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    • pp.179-180
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    • 2015
  • The variety of organic and inorganic pollutants are introduced to coastal sediment and making highly contaminated due to rapid development of industralization and economic development. Numerous contaminants are release into marine sediment and it significantly affect marine aquatic environment. In the present study stated the optimize the biostimulant ball (BSB) in coastal sedimentand stabilse the heavy metals present in the sediment. The effective variables like BSB size, distance and month variables on Cu stabilization was determined by using Response surface methodology(RSM). The analysis of variance (ANOVA) and coefficient determination (R2) of Cu reduction 0.9610 and maximum stabilisation was obtained in 3cm ball size and 5.5cm distance and 4 month interval time. This result revealed that the BSB in effective for Cu reduction in coastal sediment.

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Re-examining Network Market Strategies from the Perspective of the Local Network: Market Competition between Incompatible Technologies

  • Choi, Han-Nool;Lee, Byung-Tae
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2005.10a
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    • pp.189-206
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    • 2005
  • Much of work on network externality assumed network effects are dependent on the network size. Therefore, very little consideration is given to the view that marginal benefits from joining the network may not increase with the network size if consumer benefits come from the direct interaction with neighbors, namely local network. In this study, we used the agent-based simulation method to reexamine the effectiveness of the traditional network market strategy under the presence of the local network where two incompatible technologies compete. We found that the strategy of growing an initial customer base is not effective under the presence of the local network. Our study also showed that targeting customers based on their technology Preference is not as effective as targeting customers within the same local network. As a result, the focus of a network market strategy should be directed to taking advantage of the customer network.

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A Novel Compact Tunable Bandpass Filter Loaded Varactor Diode on the DGS

  • Kim, Gi-Rae
    • Journal of information and communication convergence engineering
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    • v.8 no.3
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    • pp.263-266
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    • 2010
  • In this paper, a novel defected ground structure (DGS) pattern with enhanced effective capacitance (varactor diode) and a hole in PCB center is presented. The increase in effective capacitance enables the new DGS pattern to achieve a lower resonance than the DGS pattern for the same etched square dimension. The hole in the center also can make resonator frequency lower with better characteristic. According to the tunable characteristic of varactor diode, the resonant frequencies can be tunable. Simulation results show that a lower resonance is achieved with active device, compared to a common DGS pattern.

Meta-analysis on the Effects of Sensory Stimulation of Preterm Infants (미숙아에 대한 감각자극 효과에 관한 메타분석)

  • Kim Eun-Joo
    • Child Health Nursing Research
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    • v.9 no.2
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    • pp.131-139
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    • 2003
  • Purpose: This study was meta-analysis study that it was to analyze the effect of sensory stimulation on preterm infants. Method: The sample of this study is 18 researches of selected by criteria. The conclusion of study was that sensory stimulation of preterm infants is effective. Result: Most large effect size was Katz(1991)'s study(d=1.96), small effect size was Caine(1991), s(d=0.37). Especially multimodal sensory stimulation(d=1.2) was more effective than unimodal sensory stimulation(0.53). Also behavioral variable of preterm infans was most sensitivity indicator. Conclusion: According to the result, the study on sensory stimulation should be research according to the gestational age and birth weight of preterm infants. In addition, the feasible sensory intervention should be develop.

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Effective Covariance Tracker based on Adaptive Foreground Segmentation in Tracking Window (적응적인 물체분리를 이용한 효과적인 공분산 추적기)

  • Lee, Jin-Wook;Cho, Jae-Soo
    • Journal of Institute of Control, Robotics and Systems
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    • v.16 no.8
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    • pp.766-770
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    • 2010
  • In this paper, we present an effective covariance tracking algorithm based on adaptive size changing of tracking window. Recent researches have advocated the use of a covariance matrix of object image features for tracking objects instead of the conventional histogram object models used in popular algorithms. But, according to the general covariance tracking algorithm, it can not deal with the scale changes of the moving objects. The scale of the moving object often changes in various tracking environment and the tracking window(or object kernel) has to be adapted accordingly. In addition, the covariance matrix of moving objects should be adaptively updated considering of the tracking window size. We provide a solution to this problem by segmenting the moving object from the background pixels of the tracking window. Therefore, we can improve the tracking performance of the covariance tracking method. Our several simulations prove the effectiveness of the proposed method.