• 제목/요약/키워드: Network system tuning

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Tuning Backoff Period for Enhancing System Throughput with Estimating Number of Devices in IEEE 802.15.4 Slotted CSMA/CA (IEEE 802.15.4 슬롯 기반 CSMA/CA에서 시스템 처리율 향상을 위한 단말 수 추정을 통한 백오프 기간 튜닝 기법)

  • Lee, Won Hyoung;Hwang, Ho Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.9
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    • pp.1243-1249
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    • 2018
  • In this paper, we propose a scheme that tunes the backoff period for enhancing the system throughput with estimating the number of devices in IEEE 802.15.4 slotted carrier sense multiple access with collision avoidance (CSMA/CA) networks. Since each device does not sense the channel always in IEEE 802.15.4 slotted CSMA/CA networks, a personal area network (PAN) coordinator is used to estimate the number of active devices. The PAN coordinator broadcasts an optimal backoff period for the estimated number of devices through a beacon frame. In order to estimate the number of devices in run time, a simple moving average filter is utilized. We show the performance of our proposed scheme in terms of the estimated number of devices and the system throughput. The simulation results show that our proposed scheme can obtain higher system throughput than the IEEE 802.15.4 standard.

An Automatic Travel Control of a Container Crane using Neural Network Predictive PID Control Technique (신경회로망 예측 PID 제어법을 이용한 컨테이너 크레인의 자동주행제어)

  • Suh Jin Ho;Lee Jin Woo;Lee Young Jin;Lee Kwon Soon
    • Journal of the Korean Society for Precision Engineering
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    • v.22 no.1
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    • pp.61-72
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    • 2005
  • In this paper, we develop anti-sway control in proposed techniques for an ATC system. The developed algorithm is to build the optimal path of container motion and to calculate an anti-collision path for collision avoidance in its movement to the finial coordinate. Moreover, in order to show the effectiveness in this research, we compared NNP PID controller to be tuning parameters of controller using NN with 2 DOF PID controller. The experimental results for an ATC simulator show that the proposed control scheme guarantees performances, trolley position, sway angle, and settling time in NNP PID controller than other controller. As a result, the application of NNP PID controller is analyzed to have robustness about disturbance which is wind of fixed pattern in the yard. Accordingly, the proposed algorithm in this study can be readily used for industrial applications

Anti-Sway Position Control of an Automated Transfer Crane Based on Neural Network Predictive PID Controller

  • Suh Jin-Ho;Lee Jin-Woo;Lee Young-Jin;Lee Kwon-Soon
    • Journal of Mechanical Science and Technology
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    • v.19 no.2
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    • pp.505-519
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    • 2005
  • In this paper, we develop an anti-sway control in proposed techniques for an ATC system. The developed algorithm is to build the optimal path of container motion and to calculate an anti-collision path for collision avoidance in its movement to the finial coordinate. Moreover, in order to show the effectiveness in this research, we compared NNP PID controller to be tuning parameters of controller using NN with 2 DOF PID controller. The simulation and experimental results show that the proposed control scheme guarantees performances, trolley position, sway angle and settling time in NNP PID controller than other controller. As the results in this paper, the application of NNP PID controller is analyzed to have robustness about disturbance which is wind of fixed pattern in the yard. Accordingly, the proposed algorithm in this study can be readily used for industrial applications.

The level control of steam generator in nuclear power plant by neural network 2-DOF PID controller (신경망 2-자유도 PID제어기를 이용한 원자력 발전소용 증기 발생기 수위제어)

  • Kim, Dong-Hwa;Lee, Won-Kyu
    • Journal of Institute of Control, Robotics and Systems
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    • v.4 no.3
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    • pp.321-328
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    • 1998
  • When we control the level of the steam generator in the nuclear power plants, a swell and shrink arises from many disturbances such as feed water rate, feed water temperature, main steam flow rate, and coolant temperature. If we use the conventional type of PI controller in this system, we will not have stability during controlling at lower power, the removal function of disturbances, and a load follow-up control effectively. In this paper, we study the application of a 2-Degree of Freedom(2-DOF) PID controller to the level control of the steam. generator of nuclear power plants through the simulation and the experimental steam generator. We use the parameters $\alpha$, $\beta$, $\gamma$ of the 2-DOF PID controller for the removal of disturbances and the parameters Kp,Ti,Td of the conventional type of PID controller for controlling setpoint. The back-propagation learning algorithm of neural network is used for tuning the 2-DOF PID controller. We can find satisfactory results of the removal of the disturbances and the tracking function in the change of setpoint through the simulation and experimental steam generator.

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Analysis of Weights and Feature Patterns in Popular 2D Deep Neural Networks Models for MRI Image Classification

  • Khagi, Bijen;Kwon, Goo-Rak
    • Journal of Multimedia Information System
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    • v.9 no.3
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    • pp.177-182
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    • 2022
  • A deep neural network (DNN) includes variables whose values keep on changing with the training process until it reaches the final point of convergence. These variables are the co-efficient of a polynomial expression to relate to the feature extraction process. In general, DNNs work in multiple 'dimensions' depending upon the number of channels and batches accounted for training. However, after the execution of feature extraction and before entering the SoftMax or other classifier, there is a conversion of features from multiple N-dimensions to a single vector form, where 'N' represents the number of activation channels. This usually happens in a Fully connected layer (FCL) or a dense layer. This reduced 2D feature is the subject of study for our analysis. For this, we have used the FCL, so the trained weights of this FCL will be used for the weight-class correlation analysis. The popular DNN models selected for our study are ResNet-101, VGG-19, and GoogleNet. These models' weights are directly used for fine-tuning (with all trained weights initially transferred) and scratch trained (with no weights transferred). Then the comparison is done by plotting the graph of feature distribution and the final FCL weights.

Performance Management and Analysis for Guaranteed End-to-End QoS Provisioning on MPLS-based Virtual Private LAN Service(VPLS)

  • Kim, Seong-Woo;Kim, Chul;Kim, Young-Tak
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.2B
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    • pp.144-156
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    • 2003
  • Internet/Intranet has been continuously enhanced by new emerging IP technologies such as differentiate service(DiffServ), IPSec(IP Security) and MPLS(Multi-protocol Label Switching) traffic engineering. According to the increased demands of various real-time multimedia services, ISP(Internet Service Provider) should provide enhanced end-to-end QoS(quality of service) and security features. Therefore, Internet and Intranet need the management functionality of sophisticated traffic engineering functions. In this paper, we design and implement the performance management functionality for the guaranteed end-to-end QoS provisioning on MPLS-based VPLS(Virtual Private LAN Service). We propose VPLS OAM(Operation, Administration and Maintenance) for efficient performance management. We focus on a scheme of QoS management and measurement of QoS parameters(such as delay, jitter, loss, etc.) using VPLS OAM functions. The proposed performance management system also supports performance tuning to enhance the provided QoS by re-adjusting the bandwidth of LSPs for VPLS. We present the experimental results of performance monitoring and analysis using a network simulator.

Modulators Using Voltage Variable Capacitance Diode (VVC 다이오드를 사용한 새로운 변조기)

  • 정만영;김영웅
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.6 no.4
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    • pp.20-30
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    • 1969
  • Several new modulators using Voltage Variable Capacitance Diode are discribed. It was investigated that amplitude modulation which does not need modulation power is obtained by mdulation VVC diode as a tuning element of the quartz oscillator circuit. It offers a good AM system for carryphones in the citizen bands. While frequency modulated quartz oscillators coupled with a quarter wave network were tested as a wide band frequency modulator, Hartley type transistor oscillator offers the most stable and reproducibel FM quartz oscillator.

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System Tuning for High Speed Transfer in Long Fat Network (고성능 망에서의 고속 전송을 위한 시스템 튜닝)

  • Kwon, Yoon-Joo;Seok, Woo-Jin;Byeon, Ok-Hwan
    • Annual Conference of KIPS
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    • 2005.11a
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    • pp.1367-1370
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    • 2005
  • 네트워크와 연구 장비들의 발전에 따라 여러 과학 응용 분야에서 협업체계를 구축하면 원거리의 파트너들과 실시간적 연구를 진행하고 있다. 네트워크 대역폭의 크기는 현재의 상황에 충족될 수 있을 수준이지만, 데이터를 실질적으로 전송하는 프로토콜의 경우 고대역폭 요구 응용을 위해서 여러 가지면에서 수정 및 튜닝할 필요가 있다. 시스템 단위에서 전송 프로토콜의 성능을 향상 시킬 수 있는 방법에 대해서 본 논문에서 모색해보기로 한다.

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Multiband Meandered Monopole Antenna for Mobile Applications

  • Lee, Jae-Kwan;Pyo, Seong-Min;Kim, Young-Sik
    • ETRI Journal
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    • v.32 no.3
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    • pp.475-478
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    • 2010
  • A multiband meandered monopole antenna is proposed for digital video broadcasting handheld (DVB-H), global positioning system, personal communications service, wireless broadband (Wibro), and wireless local area network (WLAN) applications. The proposed antenna consists of a meandered line, a shorted length strip line, and a conductor strip between a meandered line and a microstrip feed line. By tuning a short strip and a conductor, a multiband impedance matching is achieved. The proposed antenna has an omnidirectional radiation and yields an antenna gain of greater than -3 dBi in the DVB-H band and 4.5 dBi in the Wibro and WLAN bands. Details of the proposed antenna design and experimental results are presented.

A Study on PID Parameters Estimation using Neural Network Controller (신경회로망 제어기를 이용한 PID 파라미터 추정에 관한 연구)

  • Kwon, Jung-Dong;Jeon, Kee-Young;Kim, Eun-Gi;Lee, Seung-Hwan;Oh, Bong-Hwan;Lee, Hoon-Goo;Seo, Young-Soo;Han, Kyung-Hee
    • Proceedings of the KIPE Conference
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    • 2005.07a
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    • pp.333-335
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    • 2005
  • In this paper, supposed to solve these problem to PID parameters controller algorithm using ANN. In the proposed algorithm, the parameters of the controller were adjusted to reduce by on-line system the error of the speed of IM. In this process, EBPANN was constituted to an output error value of an IM and conspired an input and output. The performance of the self-tuning controller is compared with that of the PID controller tuned by conventional method (Ziehler-Nichols). The effectiveness of the proposed control method is verified thought the Matlab Simulink and experimental results.

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