• Title/Summary/Keyword: 3D network structure

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Three-dimensional Nanoporous Graphene-based Materials and Their Applications (3차원 나노 다공성 그래핀의 제조와 응용)

  • Jung, Hyun;Kang, Yein
    • Ceramist
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    • v.22 no.3
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    • pp.243-255
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    • 2019
  • Graphene, a two-dimensional material with a single atomic layer, has recently become a major research focus in various applications such as electronic devices, sensors, energy storage, catalysts, and adsorbents, because of its large theoretical surface area, excellent electrical conductivity, outstanding chemical stability, and good mechanical properties. Recently, 3D nanoporous graphene structures have received tremendous attention to expand the application of 2D graphene. Here, we overview the synthesis of 3D nanoporous graphene network structure with two-dimensional graphite oxide sheets, the control of porous parameters such as specific surface area, pore volume and pore size etc, and the modification of electronic structure by heteroatom doping along with its various applications. The 3D nanoporous graphene shows superior performance in diverse applications as a promising key material. Consequently, 3D nanoporous graphene can lead the future for advanced nanotechnology.

Prediction of Thermal conductivities of 3-D braided glass/epoxy composites using a thermal-electrical analogy (3차원 브레이드 유리섬유/에폭시 복합재료의 열전도도 예측에 관한 연구)

  • 정혁진;강태진;윤재륜
    • Proceedings of the Korean Society For Composite Materials Conference
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    • 2002.10a
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    • pp.52-55
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    • 2002
  • This paper examines the effective thermal conductivity of 3-D braided glass/epoxy composites. 3-D braided composites have a number of advantage over conventional laminate composites, including through-thickness reinforcement, and high damage tolerance and processability. The thermal properties of composites depend primarily on the microstructure of the braided preform and properties of constituent materials. A thermal resistance network model based on structure of the braided preform is proposed by using thermal-electrical analogy. In order to affirm the applicability theses solutions, thermal conductivities of 3-D braided glass/epoxy composites are measured

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E-Band Bond-Wire Modeling and Matching Network Design (E-대역 본드와이어 모델링 및 정합회로 설계)

  • Kim, Kimok;Kang, Hyunuk;Lee, Wooseok;Choi, Doohun;Yang, Youngoo
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.29 no.6
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    • pp.401-406
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    • 2018
  • In this paper, we present E-band bond-wire modeling and a matching network to compensate for the effect of the bond-wire. The impedance of the bond-wires is extracted using three-dimensional electromagnetic simulation. The matching network was designed using a simple structure. The implemented matching network was verified with a commercial 71~81 GHz LNA IC and an interconnection based on the WR-12 waveguide. The matching network increases the transmission coefficient of the system by up to 4.5 dB, power gain by up to 3.12 dB, $P_{1dB}$ by up to 2.2 dB, and improves the gain flatness by ${\pm}1.07dB$.

A Wideband Circularly Polarized Pinwheel-Shaped Planar Monopole Antenna for Wireless Applications

  • Lee, Wang-Sang;Oh, Kyoung-Sub;Yu, Jong-Won
    • Journal of electromagnetic engineering and science
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    • v.12 no.2
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    • pp.155-160
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    • 2012
  • A wideband circularly polarized pinwheel-shaped planar monopole antenna fed by a wideband feeding network is presented in this paper. The proposed antenna is formed by four wideband planar monopole antenna elements with aquadruple feeding network in order to improve the performance of circular polarization. Additionally, the antenna, which is introduced here, has a high gain in the z axis direction because of its folded antenna structure. The attractive characteristics of the proposed antenna are the wide impedance bandwidth of 87.3 % (1 GHz to 2.55 GHz), the 3 dB axial ratio (AR) bandwidth of 92.3 % (1.05 GHz to 2.85 GHz), and the maximum gain within the 3 dB AR bandwidth is about 8.24 dBic.

Video Stabilization Algorithm of Shaking image using Deep Learning (딥러닝을 활용한 흔들림 영상 안정화 알고리즘)

  • Lee, Kyung Min;Lin, Chi Ho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.19 no.1
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    • pp.145-152
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    • 2019
  • In this paper, we proposed a shaking image stabilization algorithm using deep learning. The proposed algorithm utilizes deep learning, unlike some 2D, 2.5D and 3D based stabilization techniques. The proposed algorithm is an algorithm that extracts and compares features of shaky images through CNN network structure and LSTM network structure, and transforms images in reverse order of movement size and direction of feature points through the difference of feature point between previous frame and current frame. The algorithm for stabilizing the shake is implemented by using CNN network and LSTM structure using Tensorflow for feature extraction and comparison of each frame. Image stabilization is implemented by using OpenCV open source. Experimental results show that the proposed algorithm can be used to stabilize the camera shake stability in the up, down, left, and right shaking images.

Design of VGA for MB-OFDM UWB (CMOS 0.18 μm 공정을 이용한 MB-OFDM UWB용 VGA 설계)

  • Lee Seung-Sik;Park Bong-Hyuk;Kim Jae-Young;Choi Sang-Sung
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.16 no.2 s.93
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    • pp.144-148
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    • 2005
  • In this paper, we have proposed VGA fur MB-OFDM UWB application using $CMOS\;0.18\;{\mu}m$ technique. The proposed VGA can vary power gain from 45 dB to -6 dB and 3 dB band width is more than 264 MHz. It has 3-stage cascade structure and DC offset cancellation. It consumes less, than 4 mA for 1.8 V bias voltage.

Dynamic Behavior of Regulatory Elements in the Hierarchical Regulatory Network of Various Carbon Sources-Grown Escherichia coli

  • Lee, Sung-Gun;Hwang, Kyu-Suk;Kim, Cheol-Min
    • Journal of Microbiology and Biotechnology
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    • v.15 no.3
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    • pp.551-559
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    • 2005
  • The recent rapid increase in genomic data related to many microorganisms and the development of computational tools to accurately analyze large amounts of data have enabled us to design several kinds of simulation approaches for the complex behaviors of cells. Among these approaches, dFBA (dynamic flux balance analysis), which utilizes FBA, differential equations, and regulatory events, has correctly predicted cellular behaviors under given environmental conditions. However, until now, dFBA has centered on substrate concentration, cell growth, and gene on/off, but a detailed hierarchical structure of a regulatory network has not been taken into account. The use of Boolean rules for regulatory events in dFBA has limited the representation of interactions between specific regulatory proteins and genes and the whole transcriptional regulation mechanism with environmental change. In this paper, we adopted the operon as the basic structure, constructed a hierarchical structure for a regulatory network with defined fundamental symbols, and introduced a weight between symbols in order to solve the above problems. Finally, the total control mechanism of regulatory elements (operons, genes, effectors, etc.) with time was simulated through the linkage of dFBA with regulatory network modeling. The lac operon, trp operon, and tna operon in the central metabolic network of E. coli were chosen as the basic models for control patterns. The suggested modeling method in this study can be adopted as a basic framework to describe other transcriptional regulations, and provide biologists and engineers with useful information on transcriptional regulation mechanisms under extracellular environmental change.

Evolving Neural Network Controller for Stabilization of Inverted Pendulum System (도립 진자 시스템의 안정화를 위한 진화형 신경회로망 제어기)

  • Sim, Yeong-Jin;Lee, Jun-Tak
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.49 no.3
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    • pp.157-163
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    • 2000
  • In this paper, an Evolving Neural Network Controller(ENNC) which its structure and its connection weights are optimized simultaneously by Real Variable Elitist Genetic Algoithm(RVEGA) was presented for stabilization of an Inverter Pendulum(IP) system with nonlinearity. This proposed ENNC was described by a simple genetic chromosome. And the deletion of neuron, the determinations of input or output neuron, the deleted neuron and the activation functions types are given according to the various flag types. Therefore, the connection weights, its structure and the neuron types in the given ENNC can be optimized by the proposed evolution strategy. Through the simulations, we showed that the finally acquired optimal ENNC was successfully applied to the stabilization control of an IP system.

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Permanent Magnet Overhang Effect on the Characteristics in Brushless DC Motor (브러시리스 직류전동기 특성에 대한 영구자석 오버행 효과)

  • 전연도;약미진치;이주
    • The Transactions of the Korean Institute of Electrical Engineers B
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    • v.53 no.4
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    • pp.229-236
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    • 2004
  • In this paper, the effect of permanent magnet overhang structure on the characteristics in Brushless DC motor has analyzed quantitatively. We classified the overhang structure as symmetric and asymmetric. 3D equivalent magnetic circuit network (EMCN) method which uses the permeance as the distributive variable is used for the efficient analysis of magnetic field. The overhang effect which increases the linkage flux at the stator is verified by comparison between overhang and no overhang structure. In addition, it is known that no load back electro motive force (EMF) is also increased due to the overhang effect. In case of asymmetric overhang structure, the ratio effect of the upper to lower overhang length on the magnetic forces is analyzed. Form the analysis results, the variation of the asymmetric overhang ratio has a significant effect on the axial magnetic force except the radial and tangential magnetic forces. The validity of the analysis results is also clarified by comparison between calculated results and measured ones such as back EMF and cogging torque.

A realization of up/down-stream transmission on an optical subscriber network with the PON structure (PON구조의 광가입자망에서 상/하향전송 구현)

  • 김효중;이찬구;강성수;이만섭
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.3
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    • pp.795-806
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    • 1996
  • A structure which transmits and receives 3 subscribers packet data through an optical splitter node in an optical subscriber network of PON wave suggested and realized. All the functions which are necessary to use PON structure such as 155.52Mb/s multiplexer/demultiplexer of down-stream signal, 25.92Mb/s multiplexer/demultiplexer of up-stream signal, frame synchronizer, and phase aligner for aligning phase of the clock and received data have been integrated within 2 ICs using CMOS technonology. TDMAtechnology was suggested for up-stream transmission. In the optical up-stream transmission of the urst signals transmissionquality degradataion by APC and AGC of optical tranceiver was observed. By compensating the degradation, more than 17dB of link budget which is enough to satisfy 11.2dBthat is required in SWAN of PON architecture has been obtained with optical transceiver whose power and sensitivity are -17dBm and -34dBm respectively.

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