• Proceedings of the Korean Information Science Society Conference
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• 1999.10b
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• pp.289-291
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• 1999

기존의 다중 사용자 지원 3차원 공간 정보에서의 가상 공간 관리 방식의 특징은 각 참여자에서 발생하는 이벤트를 중앙 서버에 전달해서 반영된 내용을 다시 각각의 참여자에게 전달하는 방식을 사용한다. 이러한 경우 가상 환경에 대한 상태 정보를 중앙 서버에서 관리하므로 및 일관성 유지가 용이하다는 장점이 있으나 네트워크에 과중한 부담을 주며, 확정성이 부족하다는 단점이 있다. 이 논문에서는 3차원 가상 환경에서 발생하는 이벤트의 형태를 아바타의 이동 이벤트와 그 밖의 이벤트로 구분하고, 가장 빈번히 발생하고 신뢰성이 비교적 적게 요구되는 아바타의 이동에 대한 이벤트 전달은 모빌에이전트간의 통신으로 전달함으로써 중앙서버의 부담을 줄여주며, 일관성을 효과적으로 유지할 수 있는 모빌 에이전트 기반 가상 공간 관리자를 설계하였다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.3
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• pp.654-660
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• 2004

In this paper, we define that pervasive home network, which provides necessary services for user properties and removes distractions to improve the quality of human life. So, user can enjoy home network technology including devices and softwares at any place with no knowledge of networked home, devices, and softwares. In this home network, a mobile agent, called LAFA, can migrate to unfamiliar home network and control the necessary devices. For this environment, we design security management module for authenticating user and home server that access some other home networks, and for protecting text, multimedia data, and mobile agent that are transferred between home networks. The security management module is composed of a key exchange management module and an access control management module, for key exchange management module, we propose a key exchange protocol, which provides multimode of authentication mode and key exchange mode. One of these two modes is selected according to the data type.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10b
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• pp.10-12
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• 2001

우리들은 현재 엄청난 양과 질의 정보세상에서 생활하고 있다. 때문에 이들 정보들을 보다 효과적으로 활용하고자 하는 것은 당연한 욕심이다. 그 중 대표적인 예로 RPC(Remote Procedure Call)가 있다. 그리고 mobile code를 이용해 새로운 패러다임을 선보이는 Mobile Agent가 있다. 현재 여러 mobile agent 시스템이 Java RMI(Remote Method Call)를 활용하고 있다. 이전의 RPC는 하나의 완전한 객체가 아닌 일반 data만을 네트웍을 통해서 전송할 수 있었으나, Java RMI를 적극 활용하는 mobile agent는 자신이 하나의 객체로 구현되어 네트웍을 통해 목적지 서버로 혹은 다른 호스트로 이동한 후 원격지에서 직접적으로 자기 내부의 메소드를 실행할 수 있다[1,2,3,4]. 이는 사용자의 간섭을 배제한 agent의 자율적이고 독립된 행동을 지원하기 때문에 분산처리분야에서 새로운 패러다임을 제시하고 있다. 그리고 agent가 적합한 서비스를 제공하는 서버를 효율적이고 정확하게 찾는 것이 무엇보다 중요하다. middle agent가 바로 이런 기능을 가진 모듈이다. 본 논문에서는 효율적인 모빌 에이전트 시스템을 구축하기 위해 서버와 클라이언트와의 상호 연결을 담당하는 새로운 middle agent로서 MiddleMan을 제안하였으며 이것을 이용한 다중 사용방법에 대해서 연구하였다[5].

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.1
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• pp.724-727
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• 2005

인터넷 환경이 발전하고, 많은 사용자들이 PDA와 같은 모바일 기기를 일상생활에서 널리 사용함에 따라, 모바일 커머스의 추세도 단순 오락성 정보 차원에서 벗어나 사용자의 다양한 의사결정을 지원할 수 있는 개인화된 서비스 제공차원으로 발전하고 있다. 그러나, 이 같은 모바일 커머스 서비스가 제대로 보급되기 위해서는 이동중인 사용자의 컨텍스트를 이해하고, 그에 가장 알맞는 서비스를 제공하는 메커니즘 설계가 선행되어야 한다. 이를 위하여, 본 연구에서는 사용자의 컨텍스트를 인식하는 다중 에이전트 시스템에 기초한 모바일 서비스 플랫폼설계방안을 제안하고 CAMA-myOpt라고 하는 구체적인 프로토타입을 구축하고자 한다. 이러한 본연구의 내용은 기존연구가 주로 개념적인 부분에만 치중되어 있고, 구체적인 사용자 컨텍스트에 기초한 개인화된 모바일 서비스 제공에 대한 모형화 및 구현이 결여 되어 있는 점을 보완한다는 의미가 있다.

• Journal of Korea Game Society
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• v.11 no.1
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• pp.111-120
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• 2011

It is important to realistically simulate group behaviors of the multi-agents in virtual worlds. While most researchers have focused on their group behaviors in an open space, this paper studies their group behaviors by using steering force in an enclosed space. Agents have a common target and should move towards it in an enclosed space while avoiding collision with other agents. Under those environments, three possible models of agents are proposed and the six steering forces needed in each model are also proposed. In order to show the correctness of the proposed models, they were simulated. Our simulation results showed that the proposed models only using steering forces operate well in the enclosed space although it requires a different period of time for each agent to arrive at its target depending on the walls and doors.

• Journal of the Korea Society for Simulation
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• v.23 no.4
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• pp.197-202
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• 2014

In order to operate multiple UAVs for multiple tasks efficiently, we need a task allocation algorithm with minimum cost, i.e.,total moving distance required to accomplish the whole mission. In this paper, we have proposed the MCBAA (Modified Consensus Based Auction Algorithm) which can be suitably applied to the operation of multiple UAVs. The key idea of proposed algorithm is to minimize sum of distance from current location of agents to location of tasks based on the conventional CBAA. Several simulation test performed on three UAV agents with multiple tasks demonstrates the overall efficiency both in time and total distance.

• Journal of the Korea Society of Computer and Information
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• v.11 no.2 s.40
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• pp.285-294
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• 2006

The requirements of Computer Supported Cooperative Work supporting efficient cooperative or collaborative works between multi-users have been increasing in distributed environments. The various technical sections such as group communication technology and distributed processing technology should be provided in Cooperative Work. The replicated development of Cooperative Work applications of a number of common requirements increases development costs enormously and duplicated investment parts. Therefore, systematical development environments are required to develop these common requirements and applications efficiently in Cooperative Work applications development. In this study, we propose the hierarchical role-based coordination model that improves the coordination model of legacy mobile agent to be appropriate in Cooperative Work applications, and design the development environment for Cooperative Work applications based on mobile agent. The proposed hierarchical role-based coordination model provides multi-layered group concepts of mobile agent, and enables implementation of efficient coordination policy per group. Additionally, it supports efficient Cooperative Work application development by role assignment per group unit.

• Journal of KIISE:Information Networking
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• v.31 no.2
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• pp.158-170
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• 2004

Mobile IP is a base protocol to support host mobility in IP-based wireless network. It is well known that the protocol contains two main delay factors on a handoff process; one is to detect a host movement, and the other is to register the host's current location to its home network. This paper examines Layer 2(L2) handoff procedure in the IEEE 802.11 Wireless LAN, and identifies these L2 triggers that can be usefully applied to Layer 3(L3) handoff. Then, the MCAA(Multiple-Casting using Anchor Agent) mechanism is proposed. It makes use of the L2 trigger and the network topology to construct an anchor agent dynamically, and the multiple-casting scheme to prevent an ongoing packet to be lost. Using a network simulator, the proposed mechanism has been evaluated the handoff delay and the packet lost point of view, in comparison with the regional registration protocol which is the most well known micro mobility support mechanism.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.2
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• pp.205-211
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• 2024

The purpose of this study is to implement an agent that intelligently performs tracking and movement through reinforcement learning using the Unity and ML-Agents. In this study, we conducted an experiment to compare the learning performance between training one agent in a single learning simulation environment and parallel training of several agents simultaneously in a multi-learning simulation environment. From the experimental results, we could be confirmed that the parallel training method is about 4.9 times faster than the single training method in terms of learning speed, and more stable and effective learning occurs in terms of learning stability.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.2
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• pp.243-253
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• 2019

First steps of Planetary exploration are usually conducted with the use of autonomous rovers. These rovers are capable of finding its own path and perform experiments about the planet's surface. This paper makes a proposal for a multi-agent system which effectively take the advantage of a blackboard system for share knowledge and effort of each agent. Agents use Reactive Model with the combination of Belief Desire Intension (BDI) Model and also use a Path Finding Algorithm for calculate shortest distance and a path for travel on the planet's surface. This approach can perform a surface exploration on a given terrain within a short period of time. Information which are gathered on the blackboard are used to make an output with detailed surface soil variance results. The developed Multi-Agent system performed well with different terrain sizes.