• 한국항해항만학회지
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• 제31권4호
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• pp.289-293
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• 2007

In this paper, new application of adaptive neural network to design a ship's Rudder-Roll Damping(RRD) control system is presented Firstly, the ANNAI neural network controller is presented. Secondly, new RRD control system using this neural network approach is developed. It uses two neural network controllers for heading control and roll damping control separately. Finally, Computer simulation of this RRD control system is carried out to compare with a linear quadratic optimal RRD control system; discussions and conclusions are provided. The simulation results show the feasibility of using ANNAI controller for RRD. Also, the necessity of mathematical ship model in designing RRD control system is removed by using NN control technique.

• 제어로봇시스템학회논문지
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• 제10권8호
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• pp.734-741
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• 2004

This paper presents a network based fire detection system using CAN, in order to evaluate feasibility of home automation protocol for smart home. In general, because a traditional fire detection system has an analog transmission method with 4-20mA current, it has several shortcomings such as weakness to noise. Hence, as an alternative to the traditional system, this paper presents the architecture of CAN based fire detection system and the design method of CAN communication network. Also, the performance of the suggested system is evaluated through an experimental testbed. Especially, CAN has several advantages such as low cost and easiness of implementation compared to Ethernet or ARCNET, which are low layer of BACNet. Therefore, if CAN is adopted as low layer of BACNet, the home automation system is implemented more effectively.

• 한국시뮬레이션학회논문지
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• 제8권4호
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• pp.33-51
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• 1999

In this study, the system level network simulation is considered with adaptive array antenna in CDMA mobile communication system. A network simulation framework is implemented based on IS-95A/B system to consider dynamic handoff, system level network behavior, and deploying strategy into the overall CDMA mobile communication network under adaptive array algorithm. Its simulation model, such as vector channel model, adaptive beam forming antenna model, handoff model, and power control model, are described in detail with simulation block. In order to maximize SINR of received signal at antenna, Maximin algorithm is particularly considered, and it is computed at each simulation snap shot with SINR based power control and handoff algorithm. Graphic user interface in this system level network simulator is also implemented to define the simulation environments and to represent simulation results on real mapping system. This paper also shows some features of simulation framework and simulation results.

• International Journal of Computer Science & Network Security
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• 제23권11호
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• pp.1-7
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• 2023

In the current Internet system, there are many problems using anonymity of the network communication such as personal information leaks and crimes using the Internet system. This is why TCP/IP protocol used in Internet system does not have the user identification information on the communication data, and it is difficult to supervise the user performing the above acts immediately. As a study for solving the above problem, there is the study of Policy Based Network Management (PBNM). This is the scheme for managing a whole Local Area Network (LAN) through communication control for every user. In this PBNM, two types of schemes exist. As one scheme, we have studied theoretically about the Destination Addressing Control System (DACS) Scheme with affinity with existing internet. By applying this DACS Scheme to Internet system management, we will realize the policy-based Internet system management. In this paper, basic system design for PBNM scheme for multi-domain management utilizing data science and AI is proposed.

• 제어로봇시스템학회논문지
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• 제15권9호
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• pp.929-938
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• 2009

This paper presents a novel control methodology for communication network based nonlinear systems with time delay nature. We construct a nominal nonlinear control law for representing a linear model and a reset control system which is aimed for corrective control strategy to compensate system error due to uncertain time delay through wireless communication network. Next, online neural control approach is proposed for overcoming nonstationary statistical nature in the network topology. Additionally, DBN (Dynamic Bayesian Network) technique is accomplished for modeling of its dynamics in terms of casuality, which is then utilized for estimating prediction of system output. We evaluate superiority and reliability of the proposed control approach through numerical simulation example in which a nonlinear inverted pendulum model is employed as a networked control system.

• 조명전기설비학회논문지
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• 제19권8호
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• pp.109-115
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• 2005

이 논문은 자동차에서 제어 네트워크로 이미 신뢰성이 확인된 CAN(Controller Area Network) 필드버스를 산업계 복수전동기 제어에 적용하기 위하여 지능형 제어모듈로 CAN이 내장된 DSP2812 프로세서를 이용하여 제어 및 모니터링기술을 개발하였다. 산업계에 광범위하게 사용되고 있는 유도전동기를 대상으로 여러 대의 유도전동기를 제어하기 위한 제어 알고리즘과 CAN 기반제어네트워크 구축방법을 개발하였다. 이 시스템 성능을 평가하기 위하여 2대의 유도전동기 인버터 구동시스템에 적용하여 CAN 기반 네트워크 제어 실험을 수행하였다. 그 결과 광범위한 속도와 정역회전에서 실시간 네트워크 기반 제어성능을 확인하였다.

• 융합보안논문지
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• 제12권3호
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• pp.53-58
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• 2012

내부에 있는 정보를 보호하기 위한 노력들 중 하나인 네트워크 접근통제 시스템의 적용은 내부 사용자들의 효과적 제어 및 자동적인 네트워크 관리와 보안을 가능하게 한다. 그러나 이미 허가된 PC 또는 모바일 기기로 위장하거나 자리를 비운 사용자의 인가된 시스템을 이용하여 내부 네트워크에 접속할 수 있는 문제점이 있다. 또한 허가된 PC 또는 모바일 기기의 악성코드 감염으로 인해 사용자가 직접 사용하는 시간 이외에도 동작하여 비의도적인 정보유출 및 내부 네트워크 공격 등이 발생할 수 있다. 따라서 내부 네트워크에 접속을 허가 받은 이가 인가된 장비를 이용하여 접근정책에 따른 통신을 수행하고 있는지를 확인해야 한다. 이를 위해 본 연구에서는 RFID 출입통제시스템과 연동한 네트워크 이중 접근통제 시스템을 제안한다. 제안된 시스템은 내부 네트워크 접속 시 이중인증을 수행함으로써 허가된 사용자가 인가된 장비를 이용하여 통신을 수행하는 환경을 제공한다.

• 한국인터넷방송통신학회논문지
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• 제15권3호
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• pp.125-130
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• 2015

본 논문에서는 네트워크에뮬레이터를 활용한 지휘통제시스템의 시험환경 구성, 결과 및 설계반영사항에 대해 다룬다. 정보통신기술의 발달에 의한 정보교환능력과 연산능력의 강화는 네트워크중심전이라는 개념을 가져오게 되었는데, 네트워크중심전에서 무기체계사용자가 빠른 상황판단을 내려 적합한 명령을 내릴 수 있게 지원하는 것이 지휘통제 체계이다. 본문에서는 소프트웨어 기반 네트워크 에뮬레이터중 하나인 dummynet을 활용한 시험환경 구축을 설명하고, 개발된 지휘통제시스템의 운용개념을 요약하였다. 더 나아가 시험 케이스 및 결과에 대해 설명하고, 목표 통신망에서의 제약사항을 극복할 운용개념을 제시하였다. 제안한 방식을 활용하면 항적메시지와 같이 여러 단말기가 같은 데이터를 빠른 주기로 공유할 때 유통 데이터를 크게 감소시킬 것으로 기대된다.

• International Journal of Computer Science & Network Security
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• 제23권2호
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• pp.31-38
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• 2023

In the current Internet system, there are many problems using anonymity of the network communication such as personal information leaks and crimes using the Internet system. This is why TCP/IP protocol used in Internet system does not have the user identification information on the communication data, and it is difficult to supervise the user performing the above acts immediately. As a study for solving the above problem, there is the study of Policy Based Network Management (PBNM). This is the scheme for managing a whole Local Area Network (LAN) through communication control for every user. In this PBNM, two types of schemes exist. As one scheme, we have studied theoretically about the Destination Addressing Control System (DACS) Scheme with affinity with existing internet. By applying this DACS Scheme to Internet system management, we will realize the policy-based Internet system management. In this paper, required functions in the PBNM Scheme for multiple domains as cyber physical system that utilizes data science and AI is examined.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1998년도 하계종합학술대회논문집
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• pp.897-900
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• 1998

Through fuzzy logic controller is very useful to many areas, it is difficult to build up the rule-base by experience and trial-error. So, effective self-tuning fuzzy controller for the position control of ball and beam is designed. In this paper, we developed the neural network control system with fuzzy-neuron which conducts the adjustment process for the parameters to satisfy have nonlinear property of the ball and beam system. The proposed algorithm is based on a fuzzy logic control system using a neural network learinign algorithm which is a back-propagation algorithm. This system learn membership functions with input variables. The purpose of the design is to control the position of the ball along the track by manipulating the angualr position of the serve. As a result, it is concluded that the neural network control system with fuzzy-neuron is more effective than the conventional fuzzy system.