• 제목/요약/키워드: Equivalent Networks

검색결과 146건 처리시간 0.018초

Cauer와 Foster력법을 조합하여 얻어지는 LC동측회 (On the Canonic synthesis for LC Networks with Combinations of Cauer and Foster Type)

  • Jin-Ho Bae;Chul-Kyun Ro
    • 대한전기학회논문지
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    • 제32권7호
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    • pp.247-253
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    • 1983
  • Cauer and Foster type LC networks being examined, table for illustration is presented. This paper presents a thoerem to determine and generate the exact number of LC equivalent networks obtained by combining Cauer and Foster type. By combining Cauer and foster type, one can construct greater number of canonic equivalent networks than is obtainable through use of Cauer type alone. Furthermore, the number of equivalent networks is rapidly increased with increased with increasing the order. An illustrative example is provided to confirm the proposed theorem. This theouem is easily applied to RC and RL cases.

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정규문법과 동등한 일반화된 이진 이차 재귀 신경망 (Generalized Binary Second-order Recurrent Neural Networks Equivalent to Regular Grammars)

  • 정순호
    • 지능정보연구
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    • 제12권1호
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    • pp.107-123
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    • 2006
  • 이 논문은 정규문법과 동등한 의미를 가지는 일반적인 이진 이차 재귀 신경망(Generalized Binary Second-order Recurrent Neural Networks: GBSRNN)의 구조 및 학습 방법을 제안하며 이를 이용하여 정규언어를 인식하는 어휘분석기 구현을 소개한다. GSBRNN는 성분들의 이진값 표현으로 정규문법과 동치인 모든 표현에 대하여 하드웨어로 표현할 수 있는 방법을 제공하며 정규 문법과의 구조적 관련성을 보여준다. 정규문법에서 심볼들의 개수 m, 비단말 심볼의 개수 p, 단말 심볼의 개수 q, k인 문자열이 입력된다고 할 때, GBSRNN의 크기는 $O(m(p+q)^2)$ 이고 병렬처리 시간은 O(k)이며 순차처리 시간은 $O(k(p+q)^2)$이다.

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타워 구조물의 진동기반 결함탐지기법 (Vibration-Based Damage Detection Method for Tower Structure)

  • 이종원;김상렬;김봉기
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2013년도 추계학술대회 논문집
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    • pp.320-324
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    • 2013
  • A crack identification method using an equivalent bending stiffness for cracked beam and committee of neural networks is presented. The equivalent bending stiffness is constructed based on an energy method for a straight thin-walled pipe, which has a through-the-thickness crack, subjected to bending. Several numerical analysis for a steel cantilever pipe using the equivalent bending stiffness are carried out to extract the natural frequencies and mode shapes of the cracked beam. The extracted modal properties are used in constructing a training patterns of a neural network. The input to the neural network consists of the modal properties and the output is composed of the crack location and size. Multiple neural networks are constructed and each individual network is trained independently with different initial synaptic weights. Then, the estimated crack locations and sizes from different neural networks are averaged. Experimental crack detection is carried out for 3 damage cases using the proposed method, and the identified crack locations and sizes agree reasonably well with the exact values.

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Natural vibration analysis of diagonal networks

  • Chai, W.S.;Li, Y.;Chan, H.C.
    • Structural Engineering and Mechanics
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    • 제6권5호
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    • pp.517-527
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    • 1998
  • This paper describes an exact method of analysis for natural vibration of diagonal networks by considering an equivalent cyclic periodic structure and adopting the double U-transformation technique. Both a lumped mass system and a distributed mass system are considered to investigate the diagonal networks. The exact solution for the frequency equations and the natural modes of the networks can be derived. As numerical examples, square diagonal cable networks with different meshes are worked out.

A mortar mix proportion design algorithm based on artificial neural networks

  • Ji, Tao;Lin, Xu Jian
    • Computers and Concrete
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    • 제3권5호
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    • pp.357-373
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    • 2006
  • The concepts of four parameters of nominal water-cement ratio, equivalent water-cement ratio, average paste thickness, fly ash-binder ratio were introduced. It was verified that the four parameters and the mix proportion of mortar can be transformed each other. The behaviors (strength, workability, et al.) of mortar primarily determined by the mix proportion of mortar now depend on the four parameters. The prediction models of strength and workability of mortar were built based on artificial neural networks (ANNs). The calculation models of average paste thickness and equivalent water-cement ratio of mortar can be obtained by the reversal deduction of the two prediction models, respectively. A mortar mix proportion design algorithm was proposed. The proposed mortar mix proportion design algorithm is expected to reduce the number of trial and error, save cost, laborers and time.

Friction Stir Welding Analysis Based on Equivalent Strain Method using Neural Networks

  • Kang, Sung-Wook;Jang, Beom-Seon
    • 한국해양공학회지
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    • 제28권5호
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    • pp.452-465
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    • 2014
  • The application of friction stir welding (FSW) technology has been extended to all industries, including shipbuilding. A heat transfer analysis evaluates the weldability of a welded work piece, and elasto-plastic analysis predicts the residual stress and deformation after welding. A thermal elasto-plastic analysis based on the heat transfer analysis results is most frequently used today. However, its application to large objects such as offshore structures and hulls is impractical owing to its long computational time. This paper proposes a new method, namely an equivalent strain method using the inherent strain, to overcome the disadvantages of the extended analysis time. In the present study, a residual stress analysis of FSW was performed using this equivalent strain method. Additionally, in order to reflect the external constraints in FSW, the reaction force was predicted using a neural network, Finally, the approach was verified by comparing the experimental results and thermal elasto-plastic analysis results for the calculated residual stress distribution.

Multilayer Embedding Networks Using Immittance Converters, and Its Applications, ITC-CSCC'2000

  • Seiki, Yasukazu;Suzuki, Shoji;Ueno, Fumio;Adachi, Yoshinori
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 ITC-CSCC -2
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    • pp.575-578
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    • 2000
  • The method for immittance conversion and its mathematical properties are discussed. Some design methods for complex multilayer embeddeding networks are proposed. Furthermore, as an application of multilayer embedding networks, the equivalent circuit model of a blood vessel is shown with its simulation results.

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Autonomous routing control protocol for mobile ad-hoc networks

  • 김동욱;강동진
    • 한국정보통신설비학회:학술대회논문집
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    • 한국정보통신설비학회 2008년도 정보통신설비 학술대회
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    • pp.17-20
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    • 2008
  • A clustering scheme for ad hoc networks is aimed at managing a number of mobile devices by utilizing hierarchical structure of the networks. In order to construct and maintain an effective hierarchical structure in ad hoc networks where mobile devices may move at high mobility, the following requirements must be satisfied. The role of each mobile device for the hierarchical structure is adaptive to dynamic change of the topology of the ad hoc networks. The role of each mobile device should thus change autonomously based on the local information. The overhead for management of the hierarchical structure is small. The number of mobile devices in each cluster should thus be almost equivalent. This paper proposes an adaptive multihop clustering scheme for highly mobile ad hoc networks. The results obtained by extensive simulation experiments show that the proposed scheme does not depend on mobility and node degree of mobile devices in the ad hoc network, which satisfy the above requirements.

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Coupled Line Phase Shifters and Its Equivalent Phase Delay Line for Compact Broadband Phased Array Antenna Applications

  • Han, Sang-Min;Kim, Young-Sik
    • Journal of electromagnetic engineering and science
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    • 제3권1호
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    • pp.62-66
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    • 2003
  • Novel coupled line phase shifters and its equivalent phase delay line for compact broadband phased array antennas are proposed. These phase control circuits are designed to be less complex, small size and to use a less number of active devices. The phase shifter is able to control a 120$^{\circ}$ phase shift continuously, and the phase delay line for a reference phase has a fixed 60$^{\circ}$ shifted phase. Both have the low phase error of less than $\pm$3.5$^{\circ}$ and the low gain variations of less than 1 ㏈ within the 300 MHz bandwidth. These proposed circuits are adequate to form the efficient beam-forming networks with compactness, broadband, less complexity, and low cost.

초음파시험에 의한 용접결함의 종류판별과 크기산정의 새로운 기법 (New Approaches to Ultrasonic Classification and Sizing of Flaws in Weldments)

  • 송성진
    • Journal of Welding and Joining
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    • 제13권4호
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    • pp.132-146
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    • 1995
  • Flaw classification(determination of the flaw type) and flaw sizing (prediction of the flaw shape, orientation and sizing parameters) are very important issues in ultrasonic nondestructive evaluation of weldments. In this work, new techniques for both classification and sizing of flaws in weldments are described together with extensive review of previous works on both topics. In the area of flaw classification, a methodology is developed which can solve classification problems using probabilistic neural networks, and in the area of flaw sizing, a time-of-flight equivalent(TOFE) sizing method is presented.

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