• Title/Summary/Keyword: Structural feature

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Supervisor redection and observation function design (Supervisor reduction 과 관측함수 설계)

  • 조항주
    • 제어로봇시스템학회:학술대회논문집
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    • 1991.10a
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    • pp.476-481
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    • 1991
  • This paper investigates the relationship between the two problems, supervisor reduction and observation function (projection) design, which arise in supervisory control of DEDS. It is shown through an example that a reduced supervisor of minimal size does not necessarily result in a maximal projection when a projection design method which uses the transition structure of a supervisor is applied. Also, if an L-realizable projection P is available and if a supervisor has a special structural feature, a cover C for supervisor reduction can be easily obtained. By investigating the control-compatibility of states of the reduced supervisor based on C, we can also check maximality of P in a simple manner.

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Context Dependent Feature Point Detection in Digital Curves (Context를 고려한 디지털 곡선의 특징점 검출)

  • 유병민;김문현;원동호
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.27 no.4
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    • pp.590-597
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    • 1990
  • To represent shape characteristics of digital closed curve, many algorithms, mainly based on local properties, have been proposed. In this paper, we propose a new algorithm for detecting local curvature maxima which reflects context, i.e., structural or surrounding regional characteristics. The algorithm does not require the value of k as an input parameter which is the major problem in k-curvature method in digital curve, but calculates it at each point depening on the context. The algorithm has been applied to two dimensional image boundaries. The efficiency of the algorithm is addressed by comparing the result of existing contest dependent algorithm.

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Modal control algorithm on optimal control of intelligent structure shape

  • Yao, Guo Feng;Chen, Su Huan;Wang, Wei
    • Structural Engineering and Mechanics
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    • v.15 no.4
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    • pp.451-462
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    • 2003
  • In this paper, a new block iterative algorithm is presented by using the special feature of the continuous Riccati equation in the optimal shape control. Because the real-time control require that the CPU time should be as short as possible, an appropriate modal control algorithm is sought. The computing cost is less than the one of the all state feedback control. A numerical example is given to illustrate the algorithm.

Isolation of Epidioxysteroids from a Sponge of the Genus Tethya

  • 서영완;로정래;조기웅;Sim, Chung J.;신종헌
    • Bulletin of the Korean Chemical Society
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    • v.18 no.6
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    • pp.631-635
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    • 1997
  • Four steroids including two novel compounds have been isolated from a sponge of the genus Tethya. All of the compounds possess a 5α,8α-epidioxy functionality as a common structural feature. Two new steroids, 1 and 2, possess a cyclopropyl ring at C-24(26) of the side chain. The structures of these compounds have been determined by combined spectroscopic methods.

Structural Health Monitoring Methodology based on Outlier Analysis using Acceleration of Subway Stations (가속도 응답을 이용한 이상치 해석 기반 역사 구조 건전성 평가 기법 개발)

  • Shin, Jeong-Ryol;An, Tae-Ki;Lee, Chang-Gil;Park, Seung-Hee
    • Proceedings of the KSR Conference
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    • 2011.10a
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    • pp.281-286
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    • 2011
  • Station structures, one of important infrastructures, which have been being operated since the 1970s, are especially vulnerable to even the medium-level earthquake and they could be damaged by long-term internal or external vibrations such as ambient vibrations. Recently, much attention has been paid to real-time monitoring of the fatal defect or long-term deterioration of civil infrastructures to ensure their safety and adequate performance throughout their life span. In this study, a structural health monitoring methodology using acceleration responses is proposed to evaluate the health-state of the station structures and to detect initial damage-stage. A damage index is developed using the acceleration data and it is applied to outlier analysis, one of unsupervised learning based pattern recognition methods. A threshold value for the outlier analysis is determined based on confidence level of the probabilistic distribution of the acceleration data. The probabilistic distribution is selected according to the feature of the collected data.

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A method for underwater image analysis using bi-dimensional empirical mode decomposition technique

  • Liu, Bo;Lin, Yan
    • Ocean Systems Engineering
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    • v.2 no.2
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    • pp.137-145
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    • 2012
  • Recent developments in underwater image recognition methods have received large attention by the ocean engineering researchers. In this paper, an improved bi-dimensional empirical mode decomposition (BEMD) approach is employed to decompose the given underwater image into intrinsic mode functions (IMFs) and residual. We developed a joint algorithm based on BEMD and Canny operator to extract multi-pixel edge features at multiple scales in IMFs sub-images. So the multiple pixel edge extraction is an advantage of our approach; the other contribution of this method is the realization of the bi-dimensional sifting process, which is realized utilizing regional-based operators to detect local extreme points and constructing radial basis function for curve surface interpolation. The performance of the multi-pixel edge extraction algorithm for processing underwater image is demonstrated in the contrast experiment with both the proposed method and the phase congruency edge detection.

Behavior of Composite RCS Beam-Column Joint Subjected to Cyclic Loading (반복하중을 받는 철근콘크리트 기둥과 철골보 합성구조의 접합부 성능에 관한 연구)

  • Cho, Pil-Kyu;Kim, Sang-Jun;Her, Jun;Choi, Oan-Chul
    • Proceedings of the Korea Concrete Institute Conference
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    • 1998.10a
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    • pp.577-581
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    • 1998
  • Recent trends in the construction of building frame feature the increase use of composite steel concrete members functioning together in what terms of mixed structural systems. One of such systems, RCS(reinforced concrete column and steel beam) system, is known to make use of type of member in the most efficient manner to maximize the structural and economic benifits. Based on the results, joint behavior and design were described in terms of two primary modes of failure ; joint panel shear and vertical bearing. In test specimen, joint deformation is observed at internal region greater than at external region.

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Computational Mechatronics Analysis to Design High Precision N.C. Machine (공작기계의 정밀도 향상을 위한 전산 메카트로닉스 해석)

  • Kim, Dong-Hyun;Kim, Dong-Man;Park, Kang-Kyun
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2008.11a
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    • pp.205-209
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    • 2008
  • In this study, very accurate computational mechatronics method has been developed for typical N.C. machine model applying to manufacturing industry in these days. Computation analysis of high speed machine tools like N.C. machine needs consideration about mechatronical features because the machine shows close interaction between dynamic behavior of the mechanical structure, drives and numerical control. For this, nonlinear structural analysis tools based on FEM are linked numerical control program to control the dynamic behavior. In this study, we studied the dynamic feature of N.C. machine by using SAMCEF as nonlinear computational structural analysis tool and simulink as drivers.

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The Development of pallet based on the DFSS Methodology and Value Engineering for Lighter Logistics (식스 시그마 DFSS 와 VE 를 이용한 경량 파렛트 설계)

  • Yoon, Min-Su;Whang, Jeong-Feel
    • Proceedings of the KSME Conference
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    • 2007.05a
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    • pp.1334-1337
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    • 2007
  • A steel pallet to carry lighter logistic articles is developed based on the DFSS(design for Six Sigma) methodology. Combining the conventional DFSS(Design For Six Sigma) methodology with that of VE(Value Engineering) is the novel feature of this paper to achieve maximum cost reduction. In this paper, systematical steps to achieve the required structural spec's are presented by conventional DMEDI(Define-Measure-Explore-Develop-Implement) process. To imply the target costing, evaluation of functions consisting of the pallet has been performed by value methodology. Then best design concept is selected in the Explore step, following structural optimization utilizing FEM. Finally the performance of prototype is investigated by pilot test in the Implement step. The developed steel pallet is being commercialized in the fields of automated ware house.

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Waveform Detection Algorithm based on the Search of Distinctive Line-Segments (검색에 기초한 파형 검출 알고리듬)

  • 박승훈;장태규
    • Journal of Biomedical Engineering Research
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    • v.14 no.3
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    • pp.265-272
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    • 1993
  • We present a new waveform detection method, based on the search of distinctive line-segments. The method is based on the basic assumption that the waveform morphology of biological signals is readily characterized by a sequence of the distinctive line-segments and their structural features. In this method, the distinctive line-segments are first searched for, and a structural feature analysis is performed an the distinctive line-segments found. Experiments of detecting epileptic spikes were carried out to evaluate the detection per formance of the method. Two subjects were used for training and tuning the algorithm and four subjects for testing the method. The results were obtained on two different performance indices, detection ratio and the number of false detections per minute.

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