• 한국콘텐츠학회논문지
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• 제19권12호
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• pp.416-424
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• 2019

정보기술(IT)망 및 운영기술(OT)망 영역 모두에서 컴퓨터에 접근을 위해서 사용하는 인증기술은 ID/PW, 공인인증서, OTP 등이다. 이러한 인증기술들은 비즈니스 중심의 IT망의 특성을 반영한 것으로 볼 수 있다. 이들 인증기술이 동일하게 운영기술이 중심인 SCADA제어망에서도 사용되고 있는 실정이다. 하지만, 이러한 인증기술들은 엄격한 제어가 요구되는 OT제어망 환경의 특성이 반영된 것으로 볼 수 없다. 본 논문에서는 운영자의 모바일 단말과 제어망의 물리적 단말주소 및 운용자 위치정보 특성을 활용하여 제어정보 처리가 중심인 OT SCADA제어망에 적합한 강화된 새로운 사용자 인증방안을 제안하였다.

• ETRI Journal
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• 제24권2호
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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.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2010년도 춘계학술대회
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• pp.523-526
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• 2010

FM 무전기는 반이중통신(Half-duplex)방식을 사용한다, FM 무전기를 DCE(Data Circuitterminating Equipment)로 사용하고 다수의 가입자가 정보교환을 수행하는 통신망에서 데이터 전송이 일어나고 있는지를 검출하고 데이터 전송 시 충돌을 방지하기 위해 Network Access Control을 사용한다. 본 논문에서는 현재 우리 군에서 운용하고 있는 FM무전기를 사용하는 통신망에서 MIL-STD-188-220C의 Network Access Control 방법 중 R-NAD(Random Network Access Delay)를 적용한 MPC8260 Power QUICC 기반의 디지털 메시지 전송장비에 대하여 연구한다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 하계종합학술대회 논문집(1)
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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.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2000년도 전력전자학술대회 논문집
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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.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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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.

• 제어로봇시스템학회논문지
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• 제11권11호
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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.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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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.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 하계종합학술대회 논문집(1)
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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.

• Transactions on Control, Automation and Systems Engineering
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• 제2권3호
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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.