• Title/Summary/Keyword: control network

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Enhanced Operator Authentication Method in SCADA Control Network (SCADA제어망에서 강화된 운용자 인증 방안)

  • Jo, In-June
    • The Journal of the Korea Contents Association
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    • v.19 no.12
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    • pp.416-424
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    • 2019
  • The authentication technologies used to access computers in both IT and operational technology (OT) network areas include ID/PW, public certificate, and OTP. These authentication technologies can be seen as reflecting the nature of the business-driven IT network. The same authentication technologies is used in SCADA control networks where the operational technology is centered. However, these authentication technologies do not reflect the characteristics of the OT control network environment, which requires strict control. In this paper, we proposed a new enhanced user authentication method suitable for the OT SCADA control network centered on control information processing, utilizing the physical terminal address and operator location information characteristics of the operator's mobile terminal and control network.

Signaling and Control Procedures Using Generalized MPLS Protocol for IP over an Optical Network

  • Um, Tai-Won;Choi, Jun-Kyun;Kim, Young-Ae;Lee, Hyeong-Ho;Jung, Hae-Won;Jong, Sang-Gug
    • ETRI Journal
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    • v.24 no.2
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    • pp.69-81
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    • 2002
  • This paper reviews the existing research activities on signaling and control procedures for IP over optical networks. We focus on the IP-centric signaling and control architecture based on the generalized multi-protocol label switching (GMPLS) protocol and analyze various scenarios and technical issues for deploying the IP over an optical network. We analyze the signaling and operations and administration and maintenance requirements for integrating an IP network and an optical network in order to cope with the high bandwidth and poor resource granularity of the optical network, including the optical cross-connect system. On the basis of network architecture and a reference configuration model, we investigate the GMPLS-based control architecture and interconnection model appropriate for controlling IP bandwidth and optical lambda resources. The signaling and control procedure based on GMPLS on optical user-network interface and network-network interface are comparatively investigated to provide the optical lightpath. We also study protection and restoration procedures to protect link failure when it applies to generalized MPLS signaling.

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A Study of Digital Message Transfer System based on R-NAD for FM Radios (FM무전기를 통한 디지털 메시지 전송장비에 R-NAD 적용 연구)

  • Rho, Hai-Hwan;Kim, Young-Kil
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2010.05a
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    • pp.523-526
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    • 2010
  • FM Radio communication operating mode is half-duplex mode. FM radio network access control shall be used to detect the presence of active transmissions on a multiple-subscriber-access communications network and shall provide a means to preclude data transmissions from conflicting on the network. In this study, we implemented R-NAD(Random Network Access Delay) that is one of network access control method.

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A Study on the Traffic Controller of ATM Call Level Based on On-line Learning (On-line 학습을 통한 ATM 호레벨 트래픽 제어 연구)

  • 서현승;백종일;김영철
    • Proceedings of the IEEK Conference
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    • 2000.06a
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    • pp.115-118
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    • 2000
  • In order to control the flow of traffics in ATM networks and optimize the usage of network resources, an efficient control mechanism is necessary to cope with congestion and prevent the degradation of network performance caused by congestion. To effectively control traffic in UNI(User Network Interface) stage, we proposed algorithm of integrated model using on-line teaming neural network for CAC(Call Admission Control) and UPC(Usage Parameter Control). Simulation results will show that the proposed adaptive algorithm uses of network resources efficiently and satisfies QoS for the various kinds of traffics.

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Development of Multimotor Control Strategy with Network (네트워크를 이용한 다수 전동기 제어 기법의개발)

  • 최명규
    • Proceedings of the KIPE Conference
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    • 2000.07a
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    • pp.115-118
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    • 2000
  • This paper describes the method to control the multimotor drive system with network. The LonWorks network which is a leading industrial control network is applied to the yard crane position control system driven by three motors. The host computer is able to control and monitor three motor drive systems in a yard crane through network. The performance of proposed method is verified on experiments with simulator of yard crane.

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Experimental Studies of Neural Network Control Technique for Nonlinear Systern (신경회로망을 이용한 비선형 시스팀 제어의 실험적 연구)

  • Im, Sun-Bin;Jung, Seul
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.195-195
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    • 2000
  • In this paper, intelligent control method using neural network as a nonlinear controller is presented, Neural network controller is implemented on DSP board in PC to make real time computing possible, On-line training algorithm for neural network control is proposed, As a test-bed, a large a-x table was build and interface with PC has been implemented, Experimental results under different PD controller gains show excellent position tracking for circular trajectory compared with those for PD controller only.

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Position Tracking Control of an Autonomous Helicopter by an LQR with Neural Network Compensation (자율 주행 헬리콥터의 위치 추종 제어를 위한 LQR 제어 및 신경회로망 보상 방식)

  • ;Om, Il-Yong;Suk, Jin-Young;Jung, Seul
    • Journal of Institute of Control, Robotics and Systems
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    • v.11 no.11
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    • pp.930-935
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    • 2005
  • In this paper, position tracking control of an autonomous helicopter is presented. Combining an LQR method and a proportional control forms a simple PD control. Since LQR control gains are set for the velocity control of the helicopter, a position tracking error occurs. To minimize a position tracking error, neural network is introduced. Specially, in the frame of the reference compensation technique for teaming neural network compensator, a position tracking error of an autonomous helicopter can be compensated by neural network installed in the remotely located ground station. Considering time delay between an auto-helicopter and the ground station, simulation studies have been conducted. Simulation results show that the LQR with neural network performs better than that of LQR itself.

Design and Implementation of XCP Network System

  • Heo, Jong-Man;Kang, Hyoung-Koo;Kim, Woo-Young;Kwon, Wook-Hyun
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.1581-1585
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    • 2005
  • This paper describes the design and implementation of a XCP (Xeline Control Protocol) network system. XCP is an information oriented protocol which delivers information with high reliability according to the predefined rule. The XCP network system is implemented with partly hardware and partly software based on the power line communication(PLC) environment. A network management tool which interacts with devices is also developed. In order to verify the feasibility of the proposed architecture, the implemented XCP network system is evaluated using a lighting control system.

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A Design of Control Network for DCS in Nuclear Power Plant (원전 DCS용 제어통신망 설계)

  • 이재민;박태림;문홍주;권욱현
    • Proceedings of the IEEK Conference
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    • 2000.06a
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    • pp.85-88
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    • 2000
  • Distributed Control System(DCS) is one of the best solutions to implement control systems because it provides continuous observation of control process and execution of commands to induce proper operations. In this paper, a design of control network for DCS in nuclear power plant is proposed. The proposed control network on DCS has a simple architecture and deterministic property. Thus, the proposed control network offers hard real-time periodic service. It also has redundant media for the fault-tolerance. As a result, high safety and reliability required in nuclear power plant are guaranteed.

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Process Control Using n Neural Network Combined with the Conventional PID Controllers

  • Lee, Moonyong;Park, Sunwon
    • Transactions on Control, Automation and Systems Engineering
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    • v.2 no.3
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    • pp.196-200
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    • 2000
  • A neural controller for process control is proposed that combines a conventional multi-loop PID controller with a neural network. The concept of target signal based on feedback error is used fur on-line learning of the neural network. This controller is applied to distillation column control to illustrate its effectiveness. The result shows that the proposed neural controller can cope well with disturbance, strong interactions, time delays without any prior knowledge of the process.

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