• Journal of Internet Computing and Services
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• v.2 no.4
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• pp.41-53
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• 2001

Multi-distributed web cluster model built for high availability E-Business model exposes internal system nodes on its structural characteristics and has a potential that normal job performance is impossible due to the intentional prevention and attack by an illegal third party. Therefore, the security system which protects the structured system nodes and can correspond to the outflow of information from illegal users and unfair service requirements effectively is needed. Therefore the suggested distributed invasion detection system is the technology which detects the illegal requirement or resource access of system node distributed on open network through organic control between SC-Agents based on the shared memory of SC-Server. Distributed invasion detection system performs the examination of job requirement packet using Detection Agent primarily for detecting illegal invasion, observes the job process through monitoring agent when job is progressed and then judges the invasion through close cooperative works with other system nodes when there is access or demand of resource not permitted.

• The KIPS Transactions:PartA
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• v.10A no.6
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• pp.635-642
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• 2003

The radical development of recent network technology provides the basic foundation which can establish a high speed and cheap cluster system. It is a general trend that conventional cluster systems are built as the system over a fixed level based on stabilized and high speed local networks. A multi-distributed web cluster group is a web cluster model which can obtain high performance, high efficiency and high availability through mutual cooperative works between effective job division and system nodes through parallel performance of a given work and shared memory of SC-Server with low price and low speed system nodes on networks. For this, multi-distributed web cluster group builds a sub-cluster group bound with single imaginary networks of multiple system nodes and uses the web distributed shared memory of system nodes for the effective data transmission within sub-cluster groups. Since the presented model uses a load balancing and parallel computing method of large-scale work required from users, it can maximize the processing efficiency.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.5
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• pp.591-597
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• 2007

In swarm robot systems, each robot must behaves by itself according to the its states and environments, and if necessary, must cooperates with other robots in order to carry out a given task. Therefore it is essential that each robot has both learning and evolution ability to adapt the dynamic environments. In this paper, the new polygon based Q-learning algorithm and distributed genetic algorithms are proposed for behavior learning and evolution of collective autonomous mobile robots. And by distributed genetic algorithm exchanging the chromosome acquired under different environments by communication each robot can improve its behavior ability Specially, in order to improve the performance of evolution, selective crossover using the characteristic of reinforcement learning is adopted in this paper. we verify the effectiveness of the proposed method by applying it to cooperative search problem.

• Journal of the Korean Institute of Telematics and Electronics T
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• v.36T no.2
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• pp.14-20
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• 1999

In this paper, we discuss about implementation of a wireless communication system for a distributed autonomous robotic system. In order to achieve cooperative behavior among mobile robots, it is required to perform communication. Based on this requirements, we examined to the application in a wireless communication system used by mobile robots. This paper describes a conceptual and experimental framework which provides a distributed control architecture for the study of interactions between multiple mobile robots.

• Proceedings of the KIPE Conference
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• 2003.07b
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• pp.602-605
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• 2003

분산전원용 계통연계 인버터가 효율적인 분산전원으로 사용되기 위해서는 기존 계통과 협조 운전이 필요하다. 따라서 전류제어 외에 무효전력의 제어, 계통과 연계시의 PLL 제어, 단독운전 방지 제어 등의 다양한 기능이 필요하다. 그러나 단상 시스템의 경우, 3상 시스템과 달리 교류전력을 다뤄야 하므로, 제어 시 위상 지연이 발생하게 되고 무효전력을 제어하기 어려운 문제점등이 발생된다 따라서 본 논문에서는 이러한 문제점을 해결하기 위해 dq 모델을 단상시스템에 적용하여 단상 제어의 문제점을 보완하였다.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.6
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• pp.67-75
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• 1999

The sensing and communication abilities of a mobile robot are essential to cooperative behavior in distributed autonomous robotic systems. In general, as the number of robot goes on increasing, the limitation of communication capacity and information overflow occur in global communication capacity and information overflow occur in global communication system. Therefore a local communication is more effective than global one. In this paper, we analyze information propagation mechanism based on local communication. To find an optimal communication radius, we propose three methods with different conditions. Also, to avoid chaotic behavior which occurs when a robot obtains and loses information, we find stable condition of information propagation.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.410-411
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• 2011

본 논문에서는 태양광 전원, 배터리, 마이크로터빈, 스마트 홈 등 다양한 목적과 특성을 가진 요소로 구성된 마이크로그리드를 효율적으로 제어, 관리하기 위한 분산 지능형 제어원리를 제안한다. 기존의 중앙집중식 제어원리는 중앙에서 전체 시스템에 대한 정보를 취득하여 운영에 대한 의사결정을 독점하는 구조였다면 제안하는 원리는 마이크로그리드의 구성요소가 각각 지능형 에이전트를 기반으로 스스로 데이터를 취득하고 이웃 에이전트와의 대화와 협조를 통해 분산제어를 수행하는 방식이다. 각 에이전트 사이는 근거리 무선통신 방식인 Zigbee를 이용하였고 마이크로그리드를 실시간으로 해석하기 위하여 MATLAB 기반의 실시간 시뮬레이터를 이용하였다. 실시간 마이크로그리드 시뮬레이션 모델과 에이전트 역할을 하는 마이크로 컨트롤러를 연계하여 Hardware-in-the-loop 기반의 데모시스템을 구축하였고 제안하는 원리에 대해 검증하였다.

• Proceedings of the KIEE Conference
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• 2005.11b
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• pp.334-336
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• 2005

최근 생활수준의 향상과 정보통신 산업의 급속한 발전으로 인하여 전 세계적으로 전력품질에 대한 관심이 높아져, 각종 전력품질 개선장치로부터 최적 공급시스템에 이르기까지 다양한 각도에서 전력품질을 향상하기 위한 연구개발이 수행되고 있으며, 특히 정보통신기기 및 정밀제어기기 등의 보급증가로 전압품질에 대한 관심이 높아져가고 있다. 또한 전력소비는 증가하고 있지만 환경문제, 부지확보 문제로 인한 대형 발전 설비의 확충이 어렵고, 전력산업 구조개편으로 인해 분산전원의 도입이 적극 검토되고 있다. 지금까지 배전계통의 전압 관리는 배전용변전소 ULTC(Under Load Tap Changer)와 고압배전선로의 주상변압기에 의해 조정되어 왔다. 하지만 배전용변전소와 고압배전선로의 선로전압조정장치가 서로 독립적으로 운용되고 있기 때문에 선로전압조정장치의 효율성이 떨어지고 있는 실정이다. 또한 분산전원이 도입 한계량에 대한 연구도 지속적으로 이루어지고 있다. 따라서 본 논문에서는 배전계통에서의 최적 전압조정을 위한 전압조정 장치와 분산전원의 도입한계량의 협조 운용 방안을 제시하고자 한다.[1]

• The KIPS Transactions:PartB
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• v.11B no.5
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• pp.603-610
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• 2004

The distributed Information Retrieval System centrally controlled by mediator or meta search engine result in congestion of heavy traffic and int he problem of increment of cost for the reason of the design of complicated algorithm for central control and installation of hardware. So to figure out this problem, the way is needed that has independent retrieval functionality and can cooperate each other without dependency. In this paper, we overview a few works involved in distributed information retrieval system, then, implement algorithm and design the frame-work of distributed information retrieval system using sequential transferring method(STM) including multiple information retrieval system separated from central control. For this first of all, we present a web partition policy which devide and manage web logically and we present the sequential query processing way by means of illustration through changing numbered information retrieval system. Then, we also present 3-layered structure of framework and function and module of each layer suitable for information retrieval system. Last of ail, for effective implementation of STM algorithm we analysis module structure and present description of pseudocode of this, and show that the proposed STM algorithm works smoothly by demonstration of sequential query transfer process between servers.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.5
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• pp.712-717
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• 2008

In swarm robot systems, each robot must act by itself according to the its states and environments, and if necessary, must cooperate with other robots in order to carry out a given task. Therefore it is essential that each robot has both learning and evolution ability to adapt the dynamic environments. In this paper, reinforcement learning method with SVM based on structural risk minimization and distributed genetic algorithms is proposed for behavior learning and evolution of collective autonomous mobile robots. By distributed genetic algorithm exchanging the chromosome acquired under different environments by communication each robot can improve its behavior ability. Specially, in order to improve the performance of evolution, selective crossover using the characteristic of reinforcement learning that basis of SVM is adopted in this paper.