• Title/Summary/Keyword: network design parameters

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An Optimal Design Procedure for Brain-state-in-a-box Neural Network (BSB 신경망을 위한 최적 설계방안)

  • 임영희;박대희;박주영
    • Journal of the Korean Institute of Intelligent Systems
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    • v.7 no.2
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    • pp.87-95
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    • 1997
  • This paper presents an optimal design procedure to realize an BSB neural networks by means of the parametrization of solution space and optimization of parameters using evaluation program. In particular, the performance index based on DOA analysis may make an associative memory implementation reach on the level of practical success.

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Modelling the Mode Behavior of Circular Vertical-Cavity Surface-Emitting Laser

  • Ho, Kwang-Chun
    • International Journal of Internet, Broadcasting and Communication
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    • v.4 no.2
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    • pp.22-27
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    • 2012
  • The design characteristics of circular vertical-cavity surface-emitting lasers are studied by using a newly developed equivalent network. Optical parameters, such as the stop-band or the reflectivity of periodic mirrors and the resonance wavelength, are explored for the design of these structures. To evaluate the differential quantum efficiency and the threshold current density, a transverse resonance condition of modal transmission-line theory is also utilized. This approach dramatically reduces the computational time as well as gives an explicit insight to explore the optical characteristics of circular vertical-cavity surface-emitting lasers (VCSELs).

Phase Compensation of Fuzzy Control Systems and Realization of Neuro-fuzzy Compenastors

  • Tanaka, Kazuo;Sano, Manabu
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1993.06a
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    • pp.845-848
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    • 1993
  • This paper proposes a design method of fuzzy phase-lead compensator and its self-learning by neural network. The main feature of the fuzzy phase-lead compensator is to have parameters for effectively compensating phase characteristics of control systems. An important theorem which is related to phase-lead compensation is derived by introducing concept of frequency characteristics. We propose a design procedure of fuzzy phase-lead compensators for linear controlled objects. Furthermore, we realize a neuro-fuzzy compensator for unknown or nonlinear controlled objects by using Widrow-Hoff learning rule.

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A Study on the Electrical Characteristics of Track Circuits (궤도회로의 전기적 특성에 관한 연구)

  • Han, Seung-Jin;Chung, Young-Woon;Cheon, Ki-Ha;Lee, Key-Seo;Park, Young-Soo;You, Kwang-Kyun
    • Proceedings of the KIEE Conference
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    • 1996.07a
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    • pp.635-637
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    • 1996
  • Track circuit decides whether the section is occupied by train or free using the electrical characteristics of the rail, and sends information to the train using the rail as the medium of communication. So the electrical parameters of the rail are important to the track circuits. But they are influenced by the frequency of the transmitted signal and the environments like rain, snow and location of the rail. In this paper, the parameters of the rail is practically measured using the measurement method based on the 2-port network. The measurement demonstrates that the parameters of the rail is dependent on the frequency of the signal flowing on the rail and the environments like wheather. So this analysis of the parameters helps the design of track circuits.

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Earth Structure Modeling Using Neural Network (신경회로망을 이용한 대지구조 모델링)

  • Lee Jong Pil;Ji Pyeong Shik;Lim Jae yoon
    • Proceedings of the KIEE Conference
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    • summer
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    • pp.569-571
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    • 2004
  • Earth parameters are essential to design and analysis of earth. Because of ambiguities of soil, it is not easy to calculate earth parameters, such as, resistivities and depth of each layer. The traditional mathematical method for earth parameters has a problems deciding initial value to obtain optimal solution. Also, it needs to a lot of time to be calculated to obtain reasonable solution. This paper presents new approach to estimate earth parameters using neural networks. Validity of proposed method is verified by case studies.

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The Installable Maximum DG Capacity Considering LDC Parameters of ULTC and SVR in Distribution Systems (ULTC 와 SVR 이 설치된 배전계통에서 LDC Parameters 을 고려한 최대 DG 용량 산정)

  • Kim, Mi-Young;Hara, Ryoichi;Kita, Hiroyuki
    • Proceedings of the KIEE Conference
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    • 2008.07a
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    • pp.27-28
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    • 2008
  • For stable and sustainable energy supply, distributed generator (DG) has become an essential and indispensable element from environmental and energy security perspectives. However, installation of DG in distribution systems may cause negative affects on feeders because power outputs of DG could be changed irregularly. One of major negative affects is variation in voltage profile. In general, voltage regulation devices such as under load tap changer (ULTC) at distribution substation and step voltage regulator (SVR) along feeder in distribution system are used to maintain customers' receiving voltage within a predetermined range. These regulators are controlled by line drop compensation (LDC) method which calls for two parameters; the equivalent impedance and the load center voltage. Therefore, consideration of DG outputs in the LDC parameter design procedure may give large impact on the installable DG capacity. This paper proposes a method that estimates maximum Installable DG capacity considering LDC parameters of ULTC and SVR. The proposed algorithm is tested with model network.

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Hybrid adaptive neuro-fuzzy inference system method for energy absorption of nano-composite reinforced beam with piezoelectric face-sheets

  • Lili Xiao
    • Advances in nano research
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    • v.14 no.2
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    • pp.141-154
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    • 2023
  • Effects of viscoelastic foundation on vibration of curved-beam structure with clamped and simply-supported boundary conditions is investigated in this study. In doing so, a micro-scale laminate composite beam with two piezoelectric face layer with a carbon nanotube reinforces composite core is considered. The whole beam structure is laid on a viscoelastic substrate which normally occurred in actual conditions. Due to small scale of the structure non-classical elasticity theory provided more accurate results. Therefore, nonlocal strain gradient theory is employed here to capture both nano-scale effects on carbon nanotubes and microscale effects because of overall scale of the structure. Equivalent homogenous properties of the composite core is obtained using Halpin-Tsai equation. The equations of motion is derived considering energy terms of the beam and variational principle in minimizing total energy. The boundary condition is assumed to be clamped at one end and simply supported at the other end. Due to nonlinear terms in the equations of motion, semi-analytical method of general differential quadrature method is engaged to solve the equations. In addition, due to complexity in developing and solving equations of motion of arches, an artificial neural network is design and implemented to capture effects of different parameters on the inplane vibration of sandwich arches. At the end, effects of several parameters including nonlocal and gradient parameters, geometrical aspect ratios and substrate constants of the structure on the natural frequency and amplitude is derived. It is observed that increasing nonlocal and gradient parameters have contradictory effects of the amplitude and frequency of vibration of the laminate beam.

Design of Ka-band Colpitts Oscillators with a Coplanar Waveguide Configuration (CPW 구조의 Ka-band Colpitts Oscillator 설계)

  • Ko, Jung-Min;Kim, Jun-Il;Jee, Yong
    • Proceedings of the IEEK Conference
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    • 2003.07b
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    • pp.1125-1128
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    • 2003
  • This paper presents the design method of a Colpitts type oscillator with coplanar waveguide(CPW) structures in the range of Ka-band frequency for transmitter and receiver modules. Series short stubs of CPW patterns provide inductances and capacitances in the range of Ka-band which can be expressed as a CLC-$\pi$ equivalent circuit. The experimentation has employed ro4003 substrates as a CPW substrate which has a dielectric constant of 3.38 and a signal and ground space of 100um. A method of momentum simulation for the CPW patterns has performed with an ADS software tool of Hewlett-Packard Corp. Inductance and capacitance circuits of a Colpitts oscillator was interconnected to a MESFET with CPW bend structures of including the input and output impedance matching circuits of the active transistor. Circuit parameters for impedance matching were determined through the network conversion to the equivalent length of CPW transmission lines by using T-network 1 $\pi$-network conversion circuit. A Colpitts oscillator was fabricated on the substrate of a area of 8.5mm x 17.4mm with a MESFET of Fujitsu FMM5704X and CPW series short stubs. The design suggested the possibility of realizing oscillators on a planar surface for the wireless system of tansmitter and receiver modules in the frequency range of 30GHz

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Development of Wastewater Treatment Process Simulators Based on Artificial Neural Network and Mass Balance Models (인공신경망 및 물질수지 모델을 활용한 하수처리 프로세스 시뮬레이터 구축)

  • Kim, Jungruyl;Lee, Jaehyun;Oh, Jeill
    • Journal of Korean Society of Water and Wastewater
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    • v.29 no.3
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    • pp.427-436
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    • 2015
  • Developing two process models to simulate wastewater treatment process is needed to draw a comparison between measured BOD data and estimated process model data: a mathematical model based on the process mass-balance and an ANN (artificial neural network) model. Those two types of simulator can fit well in terms of effluent BOD data, which models are formulated based on the distinctive five parameters: influent flow rate, effluent flow rate, influent BOD concentration, biomass concentration, and returned sludge percentage. The structuralized mass-balance model and ANN modeI with seasonal periods can estimate data set more precisely, and changing optimization algorithm for the penalty could be a useful option to tune up the process behavior estimations. An complex model such as ANN model coupled with mass-balance equation will be required to simulate process dynamics more accurately.

Design of Interworking Control System between QoS Parameters and QoE Items to Control Multimedia Services Quality (멀티미디어 서비스 품질 제어를 위한 QoS 파라미터와 QoE 요소간의 연동 제어 시스템 설계)

  • Kim, Hyun-Jong;Yun, Dong-Geun;Choi, Seong-Gon
    • The Journal of the Korea Contents Association
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    • v.10 no.4
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    • pp.45-54
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    • 2010
  • In this paper, we propose a quality interworking control system to enhance user's quality satisfaction in NGN environment by controling QoS parameters related with QoE in network layer when service user's QoE using variance multimedia service is poor. The proposed system gathers QoS parameter information in network layer through control packet such as RTCP, and evaluates QoE of multimedia service using these QoS parameter information. Comparing the evaluated QoE with the measured QoE in application layer, QCS judges quality degradation, deduces related QoS parameters and decides relative importance of each parameter when QoE is lower than threshold value. QCS generates QoS control values which is based on routing and switching policy in service quality control system(SCS) and forwards them to SCS. Through this proposed system, service and network providers can provide multimedia services of enhanced quality to service users taking account of service characteristic and network performance.