• Title/Summary/Keyword: attractor

검색결과 213건 처리시간 0.026초

ASYMPTOTIC BEHAVIOR OF SOLUTIONS TO 3D CONVECTIVE BRINKMAN-FORCHHEIMER EQUATIONS WITH FINITE DELAYS

  • Le, Thi Thuy
    • 대한수학회논문집
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    • 제36권3호
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    • pp.527-548
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    • 2021
  • In this paper we prove the existence of global weak solutions, the exponential stability of a stationary solution and the existence of a global attractor for the three-dimensional convective Brinkman-Forchheimer equations with finite delay and fast growing nonlinearity in bounded domains with homogeneous Dirichlet boundary conditions.

화자인식을 위한 퍼지상관차원 제안 (A Proposition of the Fuzzy Correlation Dimension for Speaker Recognition)

  • 유병욱;김창석;박현숙
    • 전자공학회논문지S
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    • 제36S권1호
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    • pp.115-122
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    • 1999
  • 본 논문은 음성신호가 카오스 신호임을 확인하고 화자인식 파라미터로 사용하기 위해 상관차원을 분석하였다. 화자식별과 인식 향상을 위하여 개인의 성도특성을 매우 잘 나타내는 음성의 스트레인지 어트렉터를 구성하고 퍼지유사도를 상관차원에 적용하여 퍼지상관차원을 제안하였다. 퍼지상관차원은 어트렉터 구성점들의 상관관계글 퍼지상관적분으로 추정하고 공간차원에 따라 퍼지상관지수가 일정하게 수렴되는 차원값을 구하여 표준패턴 어트렉터와 시험패턴 어트렉터의 변동을 흡수하였다. 퍼지상관차원에 대해 화자와 표준패턴별로 식별오차의 평균값에 따른 거리를 추정함으로써 화자인식파라미터의 타당성을 검토하였다.

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티타늄 용접부의 용접결함평가를 위한 형상인식 특징추출에 관한 연구 (A Study on the Feature Extraction of Pattern Recognition for Weld Defects Evaluation of Titanium Weld Zone)

  • 윤인식
    • 한국안전학회지
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    • 제26권5호
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    • pp.17-22
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    • 2011
  • This study proposes feature extraction method of pattern recognition by evaluation of weld defects in weld zone of titanium. For this purpose, analysis objectives in this study are features of attractor quadrant and fractal dimension. Trajectory changes in the attractor indicated a substantial difference in fractal characteristics resulting from distance shifts such as porosity of weld zone. These differences in characteristics of weld defects enables the evaluation of unique characteristics of defects in the weld zone. In quantitative fractal feature extraction, feature values of 0.87 and 1.00 in the case of part of 0.5 skip distance and 0.72 and 0.93 in the case of part of 1.0 skip distance were proposed on the basis of fractal dimensions. Attractor quadrant point, feature values of 1.322 and 1.172 in the case of ${\phi}1{\times}3mm$ porosity and 2.264 and 307 in the case of ${\phi}3{\times}3mm$ porosity were proposed on the basis of distribution value. The Proposed feature extraction of pattern recognition in this study can be used for safety evaluation of weld zone in titanium.

ATTRACTORS OF LOCAL SEMIFLOWS ON TOPOLOGICAL SPACES

  • Li, Desheng;Wang, Jintao;Xiong, Youbing
    • 대한수학회지
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    • 제54권3호
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    • pp.773-791
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    • 2017
  • In this paper we introduce a notion of an attractor for local semiflows on topological spaces, which in some cases seems to be more suitable than the existing ones in the literature. Based on this notion we develop a basic attractor theory on topological spaces under appropriate separation axioms. First, we discuss fundamental properties of attractors such as maximality and stability and establish some existence results. Then, we give a converse Lyapunov theorem. Finally, the Morse decomposition of attractors is also addressed.

어트랙터 해석을 이용한 AISI 304강 열화 신호의 카오스의 평가 (Evaluation of Chaotic evaluation of degradation signals of AISI 304 steel using the Attractor Analysis)

  • 오상균
    • 한국생산제조학회지
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    • 제9권2호
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    • pp.45-51
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    • 2000
  • This study proposes that analysis and evaluation method of time series ultrasonic signal using the chaotic feature extrac-tion for degradation extent. Features extracted from time series data using the chaotic time series signal analyze quantitatively material degradation extent. For this purpose analysis objective in this study if fractal dimension lyapunov exponent and strange attractor on hyperspace. The lyapunov exponent is a measure of the rate at which nearby trajectories in phase space diverge. Chaotic trajectories have at least one positive lyapunov exponent. The fractal dimension appears as a metric space such as the phase space trajectory of a dynamical syste, In experiment fractal(correlation) dimensions and lyapunov experiments showed values of mean 3.837-4.211 and 0.054-0.078 in case of degradation material The proposed chaotic feature extraction in this study can enhances ultrasonic pattern recognition results from degrada-tion signals.

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UPPER SEMICONTINUITY OF PULLBACK ATTRACTORS FOR NON-AUTONOMOUS GENERALIZED 2D PARABOLIC EQUATIONS

  • PARK, JONG YEOUL;PARK, SUN-HYE
    • 대한수학회지
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    • 제52권6호
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    • pp.1149-1159
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    • 2015
  • This paper is concerned with a generalized 2D parabolic equation with a nonautonomous perturbation $$-{\Delta}u_t+{\alpha}^2{\Delta}^2u_t+{\mu}{\Delta}^2u+{\bigtriangledown}{\cdot}{\vec{F}}(u)+B(u,u)={\epsilon}g(x,t)$$. Under some proper assumptions on the external force term g, the upper semicontinuity of pullback attractors is proved. More precisely, it is shown that the pullback attractor $\{A_{\epsilon}(t)\}_{t{\epsilon}{\mathbb{R}}}$ of the equation with ${\epsilon}>0$ converges to the global attractor A of the equation with ${\epsilon}=0$.

Chua 회로에서의 Bifurcation 과 Attractor (Bifurcation and Attractor from Chua's circuit)

  • 배영철;고재호;임화영
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1995년도 하계학술대회 논문집 B
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    • pp.664-666
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    • 1995
  • Chua's circuit is a simple electronic network which exhibits a variety of bifurcation and attractors. The circuit consists of two capacitors, an inductor, a linear resistor and a nonlinear resistor. This paper describes the implementation for a practical op amp of Chua's circuit. In experiment results, 1 periodic motion, 2 periodic motion, rossler type attractors, stranger chaotic attractor periodic window and limit cycle are shown, which are coincide with computer simulation.

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Enhanced Distance Dynamics Model for Community Detection via Ego-Leader

  • Cai, LiJun;Zhang, Jing;Chen, Lei;He, TingQin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권5호
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    • pp.2142-2161
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    • 2018
  • Distance dynamics model is an excellent model for uncovering the community structure of a complex network. However, the model has poor robustness. To improve the robustness, we design an enhanced distance dynamics model based on Ego-Leader and propose a corresponding community detection algorithm, called E-Attractor. The main contributions of E-Attractor are as follows. First, to get rid of sensitive parameter ${\lambda}$, Ego-Leader is introduced into the distance dynamics model to determine the influence of an exclusive neighbor on the distance. Second, based on top-k Ego-Leader, we design an enhanced distance dynamics model. In contrast to the traditional model, enhanced model has better robustness for all networks. Extensive experiments show that E-Attractor has good performance relative to several state-of-the-art algorithms.

신경회로망을 이용한 철도레일 용접부의 건전성평가 (The Integrity Evaluation of weld zone in railway rails Using Neural Network)

  • 윤인식;임미섭
    • 한국철도학회논문집
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    • 제6권2호
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    • pp.81-86
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    • 2003
  • This study proposes the neural network simulator for the integrity evaluation of weld zone in railway rails. For these purposes, the ultrasonic signals for defects(crack) of weld zone in frames are acquired in the type of time series data and echo strength. The detection of the natural defects in railway truck is performed using the characteristics of echodynamic pattern in ultrasonic signal. And then their applications evaluated feature extraction based on the time-frequency-attractor domain(peak to peak, rise time, rise slope, fall time, fall slope, pulse duration, power spectrum, and bandwidth) and attractor characteristics (fractal dimension and attractor quadrant) etc. The constructed neural network simulator agrees fairly well with the measured results of test block(defect location, beam propagation distance, echo strength, etc). The Proposed neural network simulator in this study can be used for the integrity evaluation of weld zone in railway rails.

THE CONE PROPERTY FOR A CLASS OF PARABOLIC EQUATIONS

  • KWAK, MINKYU;LKHAGVASUREN, BATAA
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • 제21권2호
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    • pp.81-87
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    • 2017
  • In this note, we show that the cone property is satisfied for a class of dissipative equations of the form $u_t={\Delta}u+f(x,u,{\nabla}u)$ in a domain ${\Omega}{\subset}{\mathbb{R}}^2$ under the so called exactness condition for the nonlinear term. From this, we see that the global attractor is represented as a Lipshitz graph over a finite dimensional eigenspace.