• 한국산업정보학회논문지
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• 제12권5호
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• pp.54-59
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• 2007

We abtain some stability results for a very general differential system using the method of cone valued vector Lyapunov functions and conversely some sufficient conditions for existence of such vector Lyapunov functions.

• 한국경영과학회지
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• 제15권1호
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• pp.73-82
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• 1990

This paper describes two algorithms to Nonlinear programming problems with equality constraints and with equality and inequality constraints. The first method treats nonlinear programming problems with equality constraints. Utilizing the nonlinear programming problems with equality constraints. Utilizing the nonlinear parametric programming technique, the method solves the problem by imbedding it into a suitable one-parameter family of problems. The second method is to solve a nonlinear programming problem with equality and inequality constraints, by minimizing a square sum of nonlinear functions which is derived from the Kuhn-Tucker condition.

• International journal of advanced smart convergence
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• 제2권1호
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• pp.12-17
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• 2013

This paper introduces the fuzzy scatter partition-based fuzzy inference system to construct the model for nonlinear process to analyze nonlinear characteristics. The fuzzy rules of fuzzy inference systems are generated by partitioning the input space in the scatter form using Fuzzy C-Means (FCM) clustering algorithm. The premise parameters of the rules are determined by membership matrix by means of FCM clustering algorithm. The consequence part of the rules is represented in the form of polynomial functions and the parameters of the consequence part are estimated by least square errors. The proposed model is evaluated with the performance using the data widely used in nonlinear process. Finally, this paper shows that the proposed model has the good result for high-dimension nonlinear process.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제9권2호
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• pp.76-82
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• 2009

A Heating, Ventilating and Air Conditioning (HVAC) system is a nonlinear multi-input multi-output (MIMO) system. This system is very difficult to control the temperature and the humidity ratio of a thermal space because of complex nonlinear characteristics. This paper proposes an adaptive fuzzy output feedback control based on observer for the nonlinear HVAC system. The nonlinear HVAC system is linearized through dynamic extension. State observers are designed for estimating state variables of the HVAC system. Fuzzy systems are employed to approximate uncertain nonlinear functions of the HVAC system with unavailable state variables. The obtained controller compares with an adaptive feedback controller. Simulation is given to demonstrate the effectiveness of our proposed adaptive fuzzy method.

• Steel and Composite Structures
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• 제31권3호
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• pp.243-259
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• 2019

This study deals with the nonlinear static analysis of functionally graded carbon nanotubes reinforced composite (FG-CNTRC) truncated conical shells subjected to axial load based on the classical shell theory. Detailed studies for both nonlinear buckling and post-buckling behavior of truncated conical shells. The truncated conical shells are reinforced by single-walled carbon nanotubes which alter according to linear functions of the shell thickness. The nonlinear equations are solved by both the Airy stress function and Galerkin method based on the classical shell theory. In numerical results, the influences of various types of distribution and volume fractions of carbon nanotubes, geometrical parameters, elastic foundations on the nonlinear buckling and post-buckling behavior of FG-CNTRC truncated conical shells are presented. The proposed results are validated by comparing with other authors.

• Nonlinear Functional Analysis and Applications
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• 제27권2호
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• pp.349-361
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• 2022

In this paper, we study the following nonlinear problem: $$\{-\Delta_{p}^{3}(x)u\;=\;{\lambda}V_{1}(x){\mid}u{\mid}^{q(x)-2}u\;in\;{\Omega},\\u\;=\;{\Delta}u\;{\Delta}^{2}u\;=\;0\;on\;{\partial}\Omega, $$ under adequate conditions on the exponent functions p, q and the weight function V₁. We prove the existence and nonexistence of eigenvalues for p(x)-triharmonic problem with Navier boundary value conditions on a bounded domain in ℝ^N. Our technique is based on variational approaches and the theory of variable exponent Lebesgue spaces.

• Advances in nano research
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• 제17권2호
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• pp.95-107
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• 2024

In this article, the semi-analytical method was used to analyze the nonlinear dynamic stability and vibration analysis of sandwich shallow spherical shells (SSSS). The SSSS was considered as functionally graded carbon nanotube-reinforced composites (FG-CNTRC) with three new patterns of FG-CNTRC. The governing equation was obtained and discretized utilizing the Galerkin method by implementing the von Kármán-Donnell nonlinear strain-displacement relations. The nonlinear dynamic stability was analyzed by means of the fourth-order Runge-Kutta method. Then the Budiansky-Roth criterion was employed to obtain the critical load for the dynamic post-buckling. The approximate solution for the deflection was represented by suitable mode functions, which consisted of the three modes of transverse nonlinear oscillations, including one symmetrically and two asymmetrical mode shapes. The influences of various geometrical characteristics and material parameters were studied on the nonlinear dynamic stability and vibration response. The results showed that the order of layers had a significant influence on the amplitude of vibration and critical dynamic buckling load.

• Smart Structures and Systems
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• 제3권4호
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• pp.423-437
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• 2007

The empirical mode decomposition (EMD) method is well-known for its ability to decompose a multi-component signal into a set of intrinsic mode functions (IMFs). The method uses a sifting process in which local extrema of a signal are identified and followed by a spline fitting approximation for decomposition. This method provides an effective and robust approach for decomposing nonlinear and non-stationary signals. On the other hand, the IMF components do not automatically guarantee a well-defined physical meaning hence it is necessary to validate the IMF components carefully prior to any further processing and interpretation. In this paper, an attempt to use the EMD method to identify properties of nonlinear elastic multi-degree-of-freedom structures is explored. It is first shown that the IMF components of the displacement and velocity responses of a nonlinear elastic structure are numerically close to the nonlinear normal mode (NNM) responses obtained from two-dimensional invariant manifolds. The IMF components can then be used in the context of the NNM method to estimate the properties of the nonlinear elastic structure. A two-degree-of-freedom shear-beam building model is used as an example to illustrate the proposed technique. Numerical results show that combining the EMD and the NNM method provides a possible means for obtaining nonlinear properties in a structure.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제11권9호
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• pp.371-380
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• 2022

합성곱 신경망은 이미지와 같은 격자 형태로 배열된 데이터를 다루는데 널리 사용되고 있는 신경망이다. 일반적인 합성곱 신경망은 합성곱층과 완전연결층으로 구성되며 각 층은 비선형활성함수를 포함하고 있다. 본 논문은 합성곱 신경망의 성능을 향상시키기 위해 결합된 파라메트릭 활성함수를 제안한다. 결합된 파라메트릭 활성함수는 활성함수의 크기와 위치를 변환시키는 파라미터를 적용한 파라메트릭 활성함수들을 여러 번 더하여 만들어진다. 여러 개의 크기, 위치를 변환하는 파라미터에 따라 다양한 비선형간격을 만들 수 있으며, 파라미터는 주어진 입력데이터에 의해 계산된 손실함수를 최소화하는 방향으로 학습할 수 있다. 결합된 파라메트릭 활성함수를 사용한 합성곱 신경망의 성능을 MNIST, Fashion MNIST, CIFAR10 그리고 CIFAR100 분류문제에 대해 실험한 결과, 다른 활성함수들보다 우수한 성능을 가짐을 확인하였다.

• 비파괴검사학회지
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• 제35권4호
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• pp.251-257
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• 2015

톤버스트 신호를 이용한 초음파 비선형 파라미터 측정에서 기본파와 고조파 성분의 크기를 측정하기 위해 고속 퓨리에 변환(FFT)을 이용하는 경우, 유한시간 및 비주기성으로 인한 스펙트럼상의 사이드 로브와 누설로 인하여 고조파 성분의 크기를 정확하게 측정하는 것이 어렵게 된다. 이러한 문제를 극복하기 위해 창함수를 사용할 수 있는데, 본 연구에서는 해닝창과 터키창에 대해서 실제 실험신호를 대상으로 비선형 파라미터 측정에 미치는 영향을 비교, 분석하였다. 또한 톤버스트 개수가 창함수에 따라 어떤 영향을 미치는지에 대해서도 함께 분석하였다. 분석 결과, 창함수는 비선형 파라미터의 안정적인 측정에 효과적이며, 해닝창과 터키창은 동일한 측정 효과를 나타내었다. 단, 신호진폭을 정확하게 복원하기 위해서는 창함수마다의 고유한 진폭보정계수가 고려되어야 한다. 한편 톤버스트 개수가 많을수록 비선형 파라미터의 안정적 측정에 유리하지만 그렇지 않을 경우에는 해닝창이 터키창보다 다소 유리한 것으로 나타났다.