• Title/Summary/Keyword: Z-network

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Improved TDMA with Superframe Structure-based CSMA/CA MAC protocol for Wireless Body Area Network (WBAN을 지원하기 위한 개선된 슈퍼프레임 구조를 가지는 TDMA 기반의 CSMA/CA MAC 프로토콜)

  • Lee, Jae-Soo;Ahn, Jeong-Keun;Yun, Chan-Young
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.26 no.1
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    • pp.87-93
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    • 2012
  • Due to the development of information and communication, there is a rising interest on WBAN(Wireless Body Area Network) that maintain and check the human being health. According to the application of different quality of service and a special mechanism for transferring medical data are required in WBAN environment. In this paper, we proposed the new formed superframe that has CSMA/CA based TDMA scheduling and CSMA/CA used IEEE 802.15.4 in order to process emergency data and on-demand data in WBAN environment. We estimated performance of the proposed MAC protocol by compared performance of other MAC protocols that are IEEE 802.15.4 MAC protocl and Z-MAC protocol has contention access period based TDMA scheduling.

The Study on Inconsistent Rule Based Fuzzy Logic Control using Neural Network

  • Cho, Jae-Soo;Park, Dong-Jo;Z. Bien
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1997.11a
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    • pp.145-150
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    • 1997
  • In this paper is studied a method of fuzzy logic control based on possibly inconsistent if-then rules representing uncertain knowledge or imprecise data. In most cases of practical applications adopting fuzzy if-then rule bases, inconsistent rules have been considered as ill-defined rules and, thus, not allowed to be in the same rule base. Note, however, that, in representing uncertain knowledge by using fuzzy if-then rules, the knowledge sometimes can not be represented in literally consistent if-then rules. In this regard, when it is hard to obtain consistent rule base, we propose the weighted rule base fuzzy logic control depending on output performance using neural network and we will derive the weight update algorithm. Computer simulations show the proposed method has good performance to deal with the inconsistent rule base fuzzy logic control. And we discuss the real application problems.

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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.

Insulation experience and character analysis of High Voltage Motor (고압전동기 절연시험 및 특성 분석에 관한 연구)

  • Choi, J.H.;Eo, S.Y.;Lee, D.Z.;Lee, J.C.;Kang, T.K.;Jeong, H.P.;Choi, J.P.
    • Proceedings of the KIEE Conference
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    • 2007.07a
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    • pp.750-751
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    • 2007
  • 본 논문에서는 고압 모터의 절연열화 상태를 감시하기 위해 소선단락, 도체표면 공극, 주절연재료 내부공극, 반도전체 제거, 정상권선으로 모델권선을 제작하고 이 모델 권선에 고전압을 인가하여 shering bridge를 이용하여 교류전류의 변화분 및 정전용량, 유전정접 시험을 하였다. 이를 통해 얻어진 결과는 고압 모터의 고정자 권선의 절연상태를 판단하는 중요한 기초자료가 될것으로 판단한다.

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Manufacturing of Connecting Rod Die using CAD/CAM Systems (CAD/CAM 시스템을 활용한 커넥팅 로드 금형의 제작)

  • 김세환;이종선;홍석주
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.2 no.2
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    • pp.39-43
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    • 2001
  • This paper aims to manufacturing of connecting rod die using CAD/CAM systems. CAD/CAM systems are consist of CAD(MDT4.0), CAM(Z-MASTER) software and CNC milling machine. CAM software is purpose to G-code generation for CNC programming. Then CAM software and CNC milling machine are connect to RS-232-C cable for data network.

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Design of Haptic Tele-operation System (네트웍 기반 원격제어시스템의 설계)

  • Park, Chang-Woo;Ku, Ja-Yl;Ohm, Woo-Yong
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.1171-1172
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    • 2008
  • In this paper, we investigate the issues on the design and implementation of tele-operation system based on the haptic interface. Here, the 3-DOF haptic device and the X-Y-Z stage are employed as master controller and slave system respectively. For this master-slave system, the force feedback algorithm, the modeling of virtual environments and the control method of X-Y-Z stage are presented. In this paper, internet network is used for data communication between master and slave.

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Gravitational-wave EM Counterpart Korean Observatory (GECKO): Network of Telescopes and Follow-up Result for S190425z

  • Paek, Gregory SungHak;Im, Myungshin
    • The Bulletin of The Korean Astronomical Society
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    • v.44 no.2
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    • pp.76.2-76.2
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    • 2019
  • Recent observation of the neutron star merger event, GW170817, through both gravitational wave (GW) and electromagnetic wave (EM) observations opened a new way of exploring the universe, namely, multi-messenger astronomy (MMA). One of the keys to the success of MMA is a rapid identification of EM counterpart. We will introduce the strategy for prioritization of GW source host galaxy candidates. Our method relies on recent simulation results regarding plausible properties of GW source host galaxies and the low latency localization map from LIGO/Virgo. We will show the test results for both NS merger and BH merger events using previous events and describe observing strategy with our facilities for GW events during the ongoing LIGO/Virgo O3 run. Finally, we report the result of follow-up observation on, the first neutron star merger event, S190425z, during LIGO/VIrgo O3 run.

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Acoustic model training using self-attention for low-resource speech recognition (저자원 환경의 음성인식을 위한 자기 주의를 활용한 음향 모델 학습)

  • Park, Hosung;Kim, Ji-Hwan
    • The Journal of the Acoustical Society of Korea
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    • v.39 no.5
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    • pp.483-489
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    • 2020
  • This paper proposes acoustic model training using self-attention for low-resource speech recognition. In low-resource speech recognition, it is difficult for acoustic model to distinguish certain phones. For example, plosive /d/ and /t/, plosive /g/ and /k/ and affricate /z/ and /ch/. In acoustic model training, the self-attention generates attention weights from the deep neural network model. In this study, these weights handle the similar pronunciation error for low-resource speech recognition. When the proposed method was applied to Time Delay Neural Network-Output gate Projected Gated Recurrent Unit (TNDD-OPGRU)-based acoustic model, the proposed model showed a 5.98 % word error rate. It shows absolute improvement of 0.74 % compared with TDNN-OPGRU model.

Optimization of Process Parameters of Incremental Sheet Forming of Al3004 Sheet Using Genetic Algorithm-BP Neural Network (유전 알고리즘-BP신경망을 이용한 Al3004 판재 점진성형 공정변수에 대한 최적화 연구)

  • Yang, Sen;Kim, Young-Suk
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.1
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    • pp.560-567
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    • 2020
  • Incremental Sheet Forming (ISF) is a unique sheet-forming technique. The process is a die-less sheet metal manufacturing process for rapid prototyping and small batch production. In the forming process, the critical parameters affecting the formability of sheet materials are the tool diameter, step depth, feed rate, spindle speed, etc. This study examined the effects of these parameters on the formability in the forming of the varying wall angle conical frustum model for a pure Al3004 sheet with 1mm in thickness. Using Minitab software based on Back Propagation Neural Network (BPNN) and Genetic Algorithm (GA), a second order mathematical prediction model was established to predict and optimize the wall angle. The results showed that the maximum forming angle was 87.071° and the best combination of these parameters to give the best performance of the experiment is as follows: tool diameter of 6mm, spindle speed of 180rpm, step depth of 0.4mm, and feed rate of 772mm/min.

Prediction of Chip Forms using Neural Network and Experimental Design Method (신경회로망과 실험계획법을 이용한 칩형상 예측)

  • 한성종;최진필;이상조
    • Journal of the Korean Society for Precision Engineering
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    • v.20 no.11
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    • pp.64-70
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    • 2003
  • This paper suggests a systematic methodology to predict chip forms using the experimental design technique and the neural network. Significant factors determined with ANOVA analysis are used as input variables of the neural network back-propagation algorithm. It has been shown that cutting conditions and cutting tool shapes have distinct effects on the chip forms, so chip breaking. Cutting tools are represented using the Z-map method, which differs from existing methods using some chip breaker parameters. After training the neural network with selected input variables, chip forms are predicted and compared with original chip forms obtained from experiments under same input conditions, showing that chip forms are same at all conditions. To verify the suggested model, one tool not used in training the model is chosen and input to the model. Under various cutting conditions, predicted chip forms agree well with those obtained from cutting experiments. The suggested method could reduce the cost and time significantly in designing cutting tools as well as replacing the“trial-and-error”design method.