• Journal of the Korea Institute of Information Security & Cryptology
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• v.13 no.6
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• pp.77-84
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• 2003

A mobile agent is a program which represents a user in a network and is capable of migrating from one node to another node, performing computations on behalf of the user. In this paper, we suggest a scheme that can safely recover mobile agent using the checkpoint that is saved at the platform that it visited previously and restart its execution from the abnormal termination point of the mobile agent. For security, mobile agent uses its public key to encrypt the checkpoint and the home platform uses the private key of the mobile agent to decrypt the encrypted checkpoints at the recovery stage. When home platform receives the checkpoint of the mobile agent, home platform verifies the checkpoint using message digest. Home platform verifies the correctness of the checkpoint by comparing the message digest generated at checkpoint mention time with the message digest generated at mobile agent recovery time.

• Journal of the Korea Convergence Society
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• v.13 no.3
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• pp.11-22
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• 2022

Recently, research and development using various Artificial Intelligence (AI) technologies are being conducted in the field of education. Among the AI in Education (AIEd), conversational agents are not limited by time and space, and can learn more effectively by combining them with various AI technologies such as voice recognition and translation. This paper conducted a trend analysis on platforms that have a large number of users and used conversational agents for English learning among commercialized application. Currently commercialized educational platforms using conversational agent through trend analysis has several limitations and problems. To analyze specific problems and limitations, a comparative experiment was conducted with the latest pre-trained large-capacity dialogue model. Sensibleness and Specificity Average (SSA) human evaluation was conducted to evaluate conversational human-likeness. Based on the experiment, this paper propose the need for trained with large-capacity parameters dialogue models, educational data, and information retrieval functions for effective English conversation learning.

• Journal of KIISE:Software and Applications
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• v.31 no.12
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• pp.1637-1648
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• 2004

When digital libraries are developed by the traditional client/sever system using a single agent on the distributed environment, several problems occur. First, as the search method is one dimensional, the search results have little relationship to each other. Second, the results do not reflect the user's preference. Third, whenever a client connects to the server, users have to receive the certification. Therefore, the retrieval of documents is less efficient causing dissatisfaction with the system. I propose a new platform of mobile multiagents for a personal digital library to overcome these problems. To develop this new platform I combine the existing DECAF multiagents platform with the Voyager mobile ORB and propose a new negotiation algorithm and scheduling algorithm. Although there has been some research for a personal digital library, I believe there have been few studies on their integration and systemization. For searches of related information, the proposed platform could increase the relationship of search results by subdividing the related documents, which are classified by a supervised neural network. For the user's preference, as some modular clients are applied to a neural network, the search results are optimized. By combining a mobile and multiagents platform a new mobile, multiagents platform is developed in order to decrease a network burden. Furthermore, a new negotiation algorithm and a scheduling algorithm are activated for the effectiveness of PDS. The results of the simulation demonstrate that as the number of servers and agents are increased, the search time for PDS decreases while the degree of the user's satisfaction is four times greater than with the C/S model.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.2
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• pp.261-267
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• 2011

One of powerful software paradigms for distributed systems is a mobile agent system. Since the usage of mobile agent systems is increased, a software development model to construct softwares efficiently for these systems is needed. Currently, UML is a widely used software development model. However, existing UML can not describe the necessary mobility of the mobile agent based software systems in explicit way. In this paper, the interaction diagrams of UML(sequence diagrams and communication diagrams) are extended and used to express the mobility of the mobile agents including the functions of platforms of mobile agent systems in three ways. For a case study, we applied the extended diagrams to a distributed file searching using mobile agents, and we confirmed these diagrams can describe the function and mobility of mobile agents very well.

• Journal of KIISE:Computing Practices and Letters
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• v.7 no.5
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• pp.489-497
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• 2001

This paper describe design and implementation of a medical multi-agent system platform called MAMI (Multi-Agent system for Medical Image), which provides intelligent medical information services. The most important component of MAMI is a medical multi-agent system platform that supports a physical environment that medical agents can be deployed. MAMI follows FIPA (Foundation for Intelligent Physical Agent)\`s agent management reference model. In MAMI, COM(Common Object Model) and XML (eXtensibel Markup Language) for encoding ACL (Agent Communication Language) are used for multi-agent communications. In MAMI, a medical staff is conceptualized as an agent and integrated with multi-agent systems. MAMI agent platform provides an infrastructure applicable to share necessary knowledge between human agents and software agents. So MAMI makes intelligent medical information services easier.

• Proceedings of the Korea Multimedia Society Conference
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• 2003.11b
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• pp.941-944
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• 2003

본 논문에서는 유무선 통합 망에서 미디어 파일과 같은 자원들을 효율적으로 공유하기 위해, 이동 에이전트 기능을 사용하여 P2P 플랫폼을 설계하였다. 현재 대다수의 P2P 애플리케이션들은 유선망을 기반으로, 서로 다른 API를 사용하고 있어, 플랫폼에 종속적이며, 다양한 네트워크 환경과 디바이스 등을 포함하지 않는다. 이러한 문제점을 해결하기 위해 오픈 소스 프로젝트인 썬의 JXTA를 이용하여 전체 시스템을 설계하였으며, 기존의 JXTA 프로토콜의 문제점을 모바일 에이전트를 이용해 개선하고자 한다.

• 한국IT서비스학회:학술대회논문집
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• 2008.05a
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• pp.535-540
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• 2008

멀티 에이전트 시스템은 다수의 에이전트들이 서로 협력하여 특정 목적을 달성하는 것을 목표로 한다. 이러한 시스템에서는 지능적인 에이전트들 사이에 효율적이고 안정적인 상호작용을 위한 에이전트 플랫폼이 존재한다. 본 논문에서는 각 에이전트의 네트워크 상태를 실시간으로 감지하여 통신에 있어서 모든 에이전트에 동일한 QoS를 보장하는 방법을 제안한다. 제안된 QoS 보장 방법은 동적인 가중치 변환 방법을 통해 이동하는 에이전트에도 늘 동일한 QoS를 보장해 줄 수 있다.

• The KIPS Transactions:PartD
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• v.11D no.5
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• pp.1177-1188
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• 2004

Multi-agent systems have been developed for supporting intelligent collaboration of distributed and independent software entities and are be-ing widely used for various applications. For the collaboration among agents, conversation policies (or interaction protocols) mutually agreed by agents are used. In today's dynamic electronic market environment, there can be frequent changes in conversation policies induced by the changes in transaction methods in the market, and thus, the importance of ad hoc conversation policies is increasing. In existing agent platforms, they allow the use of only several standard or fixed conversation policies, which requires inevitable re implementation for ad hoc conversation policies and leads to inefficiency and intricacy. This paper designs an agent platform that supports ad hoc conversation policies and presents the prototype implementation. The suggested system includes an exchangeable and interpretable conversation policy model, a meta conversation procedure for exchanging new conversation policies, and a mechanism for performing actual transactions with exchanged conversation policies in run time in an adaptive way.

• Journal of KIISE:Computing Practices and Letters
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• v.13 no.7
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• pp.545-549
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• 2007

The Bio-Inspired System focuses on the creation of an effective system model for massive network applications and is being widely developed. However, the system has a problem-difficulty implementing three features in the system, which includes scalability, adaptability and survivability. To solve this problem, we designed an Ecogent as a multiple intelligence agent, and a Bio-platform to address the three features of scalability, adaptability and survivability. The Bio-Inspired System Platform consists of an ERS (Ecogent Runtime Services) Platform and a Bio-Platform. The ERS platform serves the basic functions of mobile agents, such as Registration, Life Cycle, Migration, Communication, Location and Fault Tolerance. The Bio-Platform includes the functions of Evolution Control and Stigmergy Control to address evolution and adaptation.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2020.11a
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• pp.173-174
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• 2020

해양 공간 개발과 신개념 선박이 출현함에 따라 해상교통 환경은 복잡해지고 있으며, 이에 해양안전을 확보하기 위한 다각적인 대비책이 마련되어야 한다. 특히, 선박운항 시뮬레이터 및 과거 항적 데이터를 이용한 기존의 해상교통안전진단체계는 이러한 교통 환경의 변화를 반영하지 못하기 때문에 분석에 한계가 존재한다. 동적인 해상교통 환경에 적합한 시뮬레이션 기반 분석 방법이 개발되어야 하며, 이를 위해 본 논문에서는 에이전트 개념을 기반으로 하는 모델링-시뮬레이션(M&S) 플랫폼을 제안하고자 한다.