• 제목/요약/키워드: equivalent network

검색결과 473건 처리시간 0.028초

전자기 과도현상 시뮬레이션을 위한 주파수 의존 등가 시스템 개발 (Frequency Dependent Equivalent System for Electromagnetic Transient Simulation)

  • 한형주;이철영;왕용필;정형환;김상효;안병철;김해재
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 제36회 하계학술대회 논문집 A
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    • pp.202-204
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    • 2005
  • This paper presents the formulation for developing 2 port Frequency Dependent AC System Equivalent(FDACSE) with the instantaneous term in 5-domain and illustrates its use. This 2 port FDNE have been applied to the New Zealand AC system. The electromagnetic transient package PSCAD/EMTDC is used to assess the transient response of the 2 port (FDACSE) developed with Norton Equivalent network. The study results have indicated the robustness and accuracy of 2 port FDACSE for electromagnetic transient studies.

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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.

대어휘 연속음성인식을 위한 서브네트워크 기반의 1-패스 세미다이나믹 네트워크 디코딩 (1-Pass Semi-Dynamic Network Decoding Using a Subnetwork-Based Representation for Large Vocabulary Continuous Speech Recognition)

  • 정민화;안동훈
    • 대한음성학회지:말소리
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    • 제50호
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    • pp.51-69
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    • 2004
  • In this paper, we present a one-pass semi-dynamic network decoding framework that inherits both advantages of fast decoding speed from static network decoders and memory efficiency from dynamic network decoders. Our method is based on the novel language model network representation that is essentially of finite state machine (FSM). The static network derived from the language model network [1][2] is partitioned into smaller subnetworks which are static by nature or self-structured. The whole network is dynamically managed so that those subnetworks required for decoding are cached in memory. The network is near-minimized by applying the tail-sharing algorithm. Our decoder is evaluated on the 25k-word Korean broadcast news transcription task. In case of the search network itself, the network is reduced by 73.4% from the tail-sharing algorithm. Compared with the equivalent static network decoder, the semi-dynamic network decoder has increased at most 6% in decoding time while it can be flexibly adapted to the various memory configurations, giving the minimal usage of 37.6% of the complete network size.

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An Adaptive Dead-time Compensation Strategy for a Permanent Magnet Synchronous Motor Drive Using Neural Network

  • Urasaki Naomitsu;Senjyu Tomonobu;Funabashi Toshihisa;Sekine Hideomi
    • Journal of Power Electronics
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    • 제6권4호
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    • pp.279-289
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    • 2006
  • This paper presents a neural network based adaptive dead-time compensation strategy for an inverter fed permanent magnet synchronous motor drive. The neural network is used for identifying the dead-time compensation time (DTCT) that includes an equivalent dead-time, turn-on/off time and on-state voltage components of the voltage source inverter. In order to train the neural network, desired DTCTs for eight operating points are prepared as training data. The trained neural network can identify a desired DTCT for any operating point because it has the capability of the interpolation. The accuracy of the identified DTCT is experimentally confirmed by comparing the calculated active power with a measured one.

RBF 네트워크를 이용한 비선형 채널 등화에 관한 연구 (A study on nonlinear channel equalization using RBF network)

  • 전선도;위진우;강철호
    • 한국통신학회논문지
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    • 제22권1호
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    • pp.64-71
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    • 1997
  • Digital communication channels are imparied by linear effects such as dispersion, ISI(intersymbol Interference), fading phenomenon etc. But, the practical channel equalization system is required to design for compensating the nonlinear distortion caused by harmonic distortion etc. This paper is a study on the performance of nonlinear channel equalization using RBF(Radial Basis Funclion) network, which has the equivalent structure to the optimal Basian filter. Expecially, the variance of RBF network is modifiedby nonlinear polynomial filters to compare the convergence characteristic of nonlinear channel equalization. Experimental results show that the modified RBF network achieves the faster convergence property than conventional RBF network. Moreover, the RBF network ofhigher order variance modified represents the better performance than that of lower order variance in the bandpass channels and second/third order polynomial channels.

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양방향 흐름을 고려한 물류시스템의 최적화 모델에 관한 연구 (A Study on a Stochastic Material Flow Network with Bidirectional and Uncertain Flows)

  • 황흥석
    • 산업공학
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    • 제10권3호
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    • pp.179-187
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    • 1997
  • The efficiency of material flow systems in terms of optimal network flow and minimum cost flow has always been an important design and operational goal in material handling and distribution system. In this research, an attempt was made to develop a new algorithm and the model to solve a stochastic material flow network with bidirectional and uncertain flows. A stochastic material flow network with bidirectional flows can be considered from a finite set with unknown demand probabilities of each node. This problem can be formulated as a special case of a two-stage linear programming problem which can be converted into an equivalent linear program. To find the optimal solution of proposed stochastic material flow network, some terminologies and algorithms together with theories are developed based on the partitioning and subgradient techniques. A computer program applying the proposed method was developed and was applied to various problems.

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$1{\sim}30MHz$ 광대역 전력선 통신을 위한 고압 배전선의 임피던스 특성 측정 및 해석 (Impedance measurement and analysis of overhead medium voltage power lines for broad band power line communication (BPLC))

  • 박영진;이재조;김관호;이원태
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 제36회 하계학술대회 논문집 C
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    • pp.2345-2347
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    • 2005
  • In this paper, impedance characteristics of overhead medium-voltage (MV) power lines is reported for power line communication (PLC) over an MV power line network. For analysis, a two-port equivalent network model of MV power lines is derived. By applying the transmission line theory, reflection behavior and impedance of power lines are investigated. For verification, impedance of power lines is measured at a test field for an MV PLC. The results show that impedance of MV power lines is between $200{\Omega}$ and $300{\Omega}$ and converges to a half of their characteristic impedance.

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Algorithm for Predicting Functionally Equivalent Proteins from BLAST and HMMER Searches

  • Yu, Dong Su;Lee, Dae-Hee;Kim, Seong Keun;Lee, Choong Hoon;Song, Ju Yeon;Kong, Eun Bae;Kim, Jihyun F.
    • Journal of Microbiology and Biotechnology
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    • 제22권8호
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    • pp.1054-1058
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    • 2012
  • In order to predict biologically significant attributes such as function from protein sequences, searching against large databases for homologous proteins is a common practice. In particular, BLAST and HMMER are widely used in a variety of biological fields. However, sequence-homologous proteins determined by BLAST and proteins having the same domains predicted by HMMER are not always functionally equivalent, even though their sequences are aligning with high similarity. Thus, accurate assignment of functionally equivalent proteins from aligned sequences remains a challenge in bioinformatics. We have developed the FEP-BH algorithm to predict functionally equivalent proteins from protein-protein pairs identified by BLAST and from protein-domain pairs predicted by HMMER. When examined against domain classes of the Pfam-A seed database, FEP-BH showed 71.53% accuracy, whereas BLAST and HMMER were 57.72% and 36.62%, respectively. We expect that the FEP-BH algorithm will be effective in predicting functionally equivalent proteins from BLAST and HMMER outputs and will also suit biologists who want to search out functionally equivalent proteins from among sequence-homologous proteins.

6단자망 회로모델을 이용한 전기철도 급전시스템의 고조파 해석 (Harmonic Analysis for Traction Power Supply System Using Four-Port Network Model)

  • 창상훈;오광혜;김주락;김정훈
    • 대한전기학회논문지:전력기술부문A
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    • 제51권6호
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    • pp.255-261
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    • 2002
  • Recently, traction motors in trains are supplied with single phase a.c. power. After this power is converted to d.c. power, it is inverted to three phase power to operate traction motors. As going through the process of the conversion, harmonic current is generated in train. The method of conventional analysis on harmonics, studied by RTRI, is modeled with equivalent circuit of ac AT-fed electric railroad system using by the distributed constant circuit. However, this circuit as two-port network model has some difference in comparison with real system. The reason why the conventional method is different from the real system is that the conventional method dose not include three conductor groups, that is catenary, rail, and feeder, and admittance between the conductors for line capacitance. Therefore, this method has a little error. This paper proposes new method to more effectively estimate Harmonic current. In this method, numerous components in electric railway are categorized and each component is defined as a four- port network model. The equivalent circuit for the entire power supply system is also described into a four-port network model with connections of these components. In order to evaluate the efficiency and the accuracy of a proposed method, it is compared with values measured in Kyung-Bu high speed line and ones calculated by the conventional method.

3차원 균열연결망 모델에서의 유효투수계수 평가 및 터널굴착 지하수 유동해석에 대한 수치실험 (Numerical Experiments on the Evaluation of Effective Permeability and Tunnel Excavation in the Three Dimensional Fracture Network Model)

  • 장근무
    • 터널과지하공간
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    • 제8권4호
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    • pp.275-286
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    • 1998
  • 균열연결망 모델에서의 투수계수 텐서, 주 투수계수 그리고 주 투수계수 방향들에 대한 인자에 근거해서 유효투수계수와 대표요소체적을 구하였다. 전체브록에 대한 소블록의 투수계수의 계산을 통해서 유효투수계수는 조화평균과 산술평균 사이의 범위임을 알 수 있었다. 정육면체 모델에서 체적의 증가에 따른 유량의 변화계산에 대한 수치실험으로부터 유량의 변화는 모델의 체적이 대표요소체적에 접근함에 따라 감소함을 보여 주어ST다. 터널로의 지하수 유입량은 대표요소체적 개념보다는 터널길이대 모델크기의 비에 더 큰 영향을 받는다고 볼 수 있다. 그리고 균열연결망 모델과 등가다공성 모델에서의 지하수 유입량은 정확히 일치하지 않았으며 특히 모델크기에 대한 터널길이가 작을수록 그 차이가 크게 발생하였다.

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