• 제목/요약/키워드: Complex Parameter

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에폭시 내부의 MWNT 응집 크기에 따른 복소유전율 변화의 해석적 관찰 (Numerical Analysis of the Complex Permittivity of MWNT added Epoxy Depending on Agglomeration Size)

  • 신재환;장홍규;최원호;송태훈;김천곤;이우용
    • Composites Research
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    • 제27권5호
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    • pp.190-195
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    • 2014
  • 본 연구에서는 MWNT(Multi-walled carbon nanotube)의 응집크기와 복소유전율의 관계를 수치해석적인 방법을 통하여 접근하였다. 이를 위하여 3-roll-mill 장비를 사용하여 1 wt% MWNT가 첨가된 에폭시 시편을 제작하였다. 제작된 시편은 X-band(8.2~12.4 GHz)에서 네트워크 분석기와 자유공간 측정 장비를 이용하여 복소유전율을 측정하였다. 측정된 복소유전율과 복소유전율 혼합 모델을 이용하여 에폭시와 MWNT 응집으로 이루어진 해석모델의 유전율을 결정하였다. 해석 모델은 앞서 말한 것과 같이 에폭시와 MWNT의 응집으로 이루어져 있으며, 정육면체 에폭시 내에 구 형태의 MWNT 응집을 가정하였다. 이에 따라 에폭시와 MWNT의 부피비율은 고정되며, 변수는 응집의 크기로 한정하였다. 수치해석은 상용 전자기 해석프로그램인 CST를 사용하였다. CST로부터 모델의 S-parameter를 얻었고, 복소유전율은 Nicolson 방법을 사용하여 얻었다. MATLAB으로 코드를 만들어 S-parameter 로부터 복소유전율을 얻었다. 수치해석 결과 응집의 크기가 작아질수록 복소유전율 값이 높아지는 모습을 살펴볼 수 있었으며, 이는 나노 입자의 이용에 있어서 분산도는 기계적인 특성뿐 아니라 전자기적 특성인 복소유전율에도 영향을 미친다고 볼 수 있으며, 같은 나노 입자 함량에서 분산도가 좋을수록 높은 복소유전율을 기대할 수 있다.

전제조건과 IDEF3를 응용한 동시공학환경에서의 복합설계 (A Triangularization Algorithm Solving for the Complex Design with Precedence Constraints and IDEF3 Modeling in Concurrent Engineering)

  • 조문수;임태진
    • 제어로봇시스템학회논문지
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    • 제15권7호
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    • pp.742-752
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    • 2009
  • Engineering design involves the specification of many variables that define a product, how it is made, and how it behaves applied to computer, communication and control fields. Before some variables can be determined, other variables must first be known or assumed. This fact implies a precedence order of the variables, and of the tasks of determining these variables consequently. Moreover, design of complex systems may involve a large number of design activities. In this paper, the activity-activity incidence matrix is considered as a representation of design activity analysis which mainly focuses on the precedence constraint with an object of doing IDEF3 in process-centered view. In order to analyze the activity-activity incidence matrix, a heuristic algorithm is proposed, which transforms an activity-activity, parameter-formula, and parameter-parameter incidence matrix into a lower triangular form. The analysis of the structured matrices can not only significantly reduce the overall project complexity by reorganizing few critical tasks in practice, but also aims at obtaining shorter times considering the solution structure by exploring concurrency.

복합설계를 위한 동시공학적 접근방법 (A Heuristic Approach Solving for the Complex Design with Precedence Constraints in Concurrent Engineering)

  • 조문수;김창영
    • 대한산업공학회지
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    • 제24권2호
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    • pp.185-197
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    • 1998
  • Engineering design involves the specification of many variables that define a product, how it is made, and how it behaves. Before some variables can be determined, other variables must first be known or assumed. This fact implies a precedence order of the variables, and of the tasks of determining these variable consequently. Moreover, design of complex systems may involve a large number of design activities. In this paper, the activity-activity incidence matrix is considered as a representation of design activity analysis which mainly focuses on the precedence constraint. In order to analyze the activity-activity incidence matrix, a heuristic algorithm is proposed, which transforms an activity-activity, parameter-formula, and parameter-parameter incidence matrix into a lower triangular form. The analysis of the structured matrices can not only significantly reduce the overall project complexity by reorganizing few critical tasks in practice, but also aims at obtaining shorter times considering the solution structure by exploring concurrency.

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mGA를 사용한 복잡한 비선형 시스템의 뉴로-퍼지 모델링 (Neuro-Fuzzy Modeling of Complex Nonlinear System Using a mGA)

  • 최종일;이연우;주영훈;박진배
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2000년도 하계학술대회 논문집 D
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    • pp.2305-2307
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    • 2000
  • In this paper we propose a Neuro-Fuzzy modeling method using mGA for complex nonlinear system. mGA has more effective and adaptive structure than sGA with respect to using the changeable-length string. This paper suggest a new coding method for applying the model's input and output data to the number of optimul rules of fuzzy models and the structure and parameter identifications of membership function simultaneously. The proposed method realize optimal fuzzy inference system using the learning ability of Neural network. For fine-tune of the identified parameter by mGA, back-propagation algorithm used for optimulize the parameter of fuzzy set. The proposed fuzzy modeling method is applied to a nonlinear system to prove the superiority of the proposed approach through compare with ANFIS.

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분포정수계 유압관로 모델의 동특성 해석 (Analysis of Dynamic Characteristics of Hydraulic Transmission Lines with Distributed Parameter Model)

  • 김도태
    • 드라이브 ㆍ 컨트롤
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    • 제15권4호
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    • pp.67-73
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    • 2018
  • The paper deals with an approach to time domain simulation for closed end at the downstream of pipe, hydraulic lines terminating into a tank and series lines with change of cross sectional area. Time domain simulation of a fluid power systems containing hydraulic lines is very complex and difficult if the transfer functions consist of hyperbolic Bessel functions which is the case for the distributed parameter dissipative model. In this paper, the magnitudes and phases of the complex transfer functions of hydraulic lines are calculated, and the MATLAB Toolbox is used to formulate a rational polynomial approximation for these transfer functions in the frequency domain. The approximated transfer functions are accurate over a designated frequency range, and used to analyze the time domain response. This approach is usefully to simulate fluid power systems with hydraulic lines without to approximate the frequency dependent viscous friction.

Fuzzy Relation-Based Fuzzy Neural-Networks Using a Hybrid Identification Algorithm

  • Park, Ho-Seung;Oh, Sung-Kwun
    • International Journal of Control, Automation, and Systems
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    • 제1권3호
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    • pp.289-300
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    • 2003
  • In this paper, we introduce an identification method in Fuzzy Relation-based Fuzzy Neural Networks (FRFNN) through a hybrid identification algorithm. The proposed FRFNN modeling implement system structure and parameter identification in the efficient form of "If...., then... " statements, and exploit the theory of system optimization and fuzzy rules. The FRFNN modeling and identification environment realizes parameter identification through a synergistic usage of genetic optimization and complex search method. The hybrid identification algorithm is carried out by combining both genetic optimization and the improved complex method in order to guarantee both global optimization and local convergence. An aggregate objective function with a weighting factor is introduced to achieve a sound balance between approximation and generalization of the model. The proposed model is experimented with using two nonlinear data. The obtained experimental results reveal that the proposed networks exhibit high accuracy and generalization capabilities in comparison to other models.er models.

전자기력 측정과 방향성주파수 응답함수를 이용한 능동 자기베어링 시스템의 운전중 모드시험 및 매개변수 규명 (In-situ modal testing and parameter identification of active magnetic bearing system by magnetic force measurement and the use of directional frequency response functions)

  • 하영호;이종원
    • 대한기계학회논문집A
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    • 제21권7호
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    • pp.1156-1165
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    • 1997
  • Complex modal testing is employed for the in-situ parameter identification of a four-axis active magnetic bearing system while the system is in operation. In the test, magnetic bearings are used as exciters as well as actuators for feedback control. The experimental results show that the directional frequency response function, which is properly defined in the complex domain, is a powerful tool for identification of bearing as well as modal parameters. It is also shown that the position and current stiffnesses can be accurately estimated using the relations between the measured forces, displacements, and currents.

동적 부하모델 파라미터 추정을 위한 시뮬레이션 기반 최적화 기법 비교 연구 (Comparative Study on Proposed Simulation Based Optimization Methods for Dynamic Load Model Parameter Estimation)

  • 마누엘리토 델카스텔로;송화창;이병준
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2011년도 제42회 하계학술대회
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    • pp.187-188
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    • 2011
  • This paper proposes the hybrid Complex-PSO algorithm based on the complex search method and particle swarm optimization (PSO) for unconstrained optimization. This hybridization intends to produce faster and more accurate convergence to the optimum value. These hybrid will concentrate on determining the dynamic load model parameters, the ZIP model and induction motor model parameters. Measurement-based parameter estimation, which employs measurement data to derive load model parameters, is used. The theoretical foundation of the measurement-based approach is system identification. The main objective of this paper is to demonstrate how the standard particle swarm optimization and complex method can be improved through hybridization of the two methods and the results will be compared with that of their original forms.

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Improvements of the luminous efficiency of mercury-free fluorescent lamps via structural and complex gas mixture changes

  • Oh, Byung-Joo;Jung, Jae-Chul;Seo, In-Woo;Kim, Hyuk;Whang, Ki-Woong
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2008년도 International Meeting on Information Display
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    • pp.809-812
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    • 2008
  • Structural parameter variation effects (changing the coplanar gap under different discharge dimensions) and use of complex gas mixtures (He, Ne, Ar and Xe) in mercury-free fluorescent lamps are studied in this paper. Pure Neon gas is the best buffer gas for obtaining high luminous efficiency in mercury-free fluorescent lamps. It is shown that with a shorter coplanar gap (30mm), a high luminous efficiency can be obtained at low operating voltage, as well as high luminance uniformity and stable discharge with a Ne-Xe 20% gas mixture.

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ON COMPLEX VARIABLE METHOD IN FINITE ELASTICITY

  • Akinola, Ade
    • Journal of applied mathematics & informatics
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    • 제12권1_2호
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    • pp.183-198
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    • 2003
  • We highlight the alternative presentation of the Cauchy-Riemann conditions for the analyticity of a complex variable function and consider plane equilibrium problem for an elastic transversely isotropic layer, in finite deformation. We state the fundamental problems and consider traction boundary value problem, as an example of fundamental problem-one. A simple solution of“Lame's problem”for an infinite layer is obtained. The profile of the deformed contour is given; and this depends on the order of the term used in the power series specification for the complex potential and on the material constants of the medium.