• KIPS Transactions on Computer and Communication Systems
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• v.3 no.1
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• pp.23-30
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• 2014

In this paper, we propose an efficient agent framework for host-based vulnerability assessment system by analyzing the operational concept of traditional vulnerability assessment framework and proposed vulnerability assessment agent framework in virtualization environment. A proposed agent framework have concept by using the features of virtualization technology, it copy and execute checking agent in targeted virtual machines. In order to embody a propose agent framework, we design function block of checking agent and describe a vulnerability checking scenario of proposed agent framework. Also we develop pilot system for vulnerability checking scenario. We improve the shortcomings of the traditional vulnerability assessment system, such as unnecessary system load of the agent, inefficiency due to duplication agent installation. Moreover, the proposed agent framework is maximizing the scalability of the system because there is no agent installation when adding a targeted system.

• Korean Journal of Computational Design and Engineering
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• v.5 no.4
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• pp.373-379
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• 2000

This paper deals with the study of distributed design system and the implementation of JAVA based initial design system using CORBA/sup [1-3]/. In the state of initial design, designer should consider other information related to a design part. In this case, designer has a difficult problem to search and calculate distributed data. We propose a special connector named ‘Allocator’and implement an initial design system AIDS(Agent based Initial Design system). AIDS can help designer search and calculate the distributed information. In this study, JAVA and CORBA were chosen for handling network and distribute programming. AIDS focuses on the possibility of incremental concurrent design capability. AIDS is comported of Request-Agent, Calculator-Agent, View-Agent, Search-Agent, and ‘Allocator’. The proposed system can be used for designing initial design of a gripper in the web regardless of operating system.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.56 no.12
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• pp.2072-2077
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• 2007

The primary objective of all power systems is to maintain the reliability and to minimize outage time for fault or the others. The frequency relaying algorithm perceives a variation of system frequency and thereafter detects the unbalance between generation and load. A multi-agent system is composed of multiple interacting computing elements that are known as agents. In this paper, frequency relaying algorithm is designed by multi-agent system and is implemented by EMTP-MODELS. To verify performance of the frequency relaying algorithm based on multi-agent system, simulations by EMTP have been carried out.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.50 no.8
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• pp.365-372
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• 2001

This paper presents a new protection concept to achieve the adaptive optimal function by introducing the multi-agent system technology. Making each relay an agent which consists of relay agent module and coordinator module, each agent works autonomously to improve protection capability by cooperating with other agents. It is applied to the overcurrent protection system of the industrial power system in order to show the feasibility of the proposed methodology.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2009.04a
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• pp.165-171
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• 2009

A compound agent that mixes inert gas agents and halocarbon agents and a complex fire suppression system using the compound agent have been developed. The ultimate goal of this study is to develop the extinguishing agent which doesn't destroy the ozone layer and has low GWP and to develop the fire suppression system. As a result of the test and research for inert gas agents and halocarbon agents, nitrogen and FK-5-1-12 were selected finally and have been tested and studies for three years. Thus, the optimal extinguishing agent and fire suppression system have been accomplished. The performance of the agent and system was tested according to KFI performance test technical standards for gas fire extinguishing system and the fitness of the agent and system for a fire was certified by Korea Fire Industry Technology Institute (KFI).

• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.503-506
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• 2006

In this paper, we suggest the Agent System for management and service of science and technology information that performs the collection, analyzing, processing and managing the information. Generally, any system can process the collection and service the information as usual method, but that mean can't be clear because of the data process method on different systems of hardware and software. So, it's very important point that the design and development of S&T information flow framework that can accept the various data, and we expect that the agent system adapted in framework guarantee the reduction of man power and process time and the enlarged system. Agent System consists of five multi agents, Resource Format Register Agent, Data Collector Agent, Data Analyzer Agent, Data Processor Agent and MetaDB Creator Agent. We describe the main roles and elements of agent systems.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.7
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• pp.598-602
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• 2001

Recently, due to the widely use of personal computers and internet, many computer users requested intelligent system that can cope with various types of requirements and user-friendly interfaces. Based on this background, researches on the intelligent agent are now activating in various fields. In this paper, we modeled, designed and implemented an intelligent agent system for pattern classification by adopting intelligent agent concepts. We also investigated the pattern classification method by utilizing some pattern classification algorithms for the common data. As a result, we identified that 300 3-dimensional data are applied to three pattern classification algorithms and returned correct results. Our system showed a distinguished user-friendly interface feature by adopting various agents including graphic agent.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 1999.11a
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• pp.406-410
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• 1999

This paper supposes the SNMP network management system based upon Mobile Agent using the Naming and Directory Service, which is JNDI(Java Naming Directory Interface) technology. The Mobile Agent network system is expected to provide a solution for the conventional centralized network system. So, We have designed and implemented the network management system based upon Mobile Agent using JNDI

• Korean Journal of Computational Design and Engineering
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• v.8 no.1
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• pp.55-63
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• 2003

ADE i,1 a software tool for the design and implementation of multi-agent systems. ADE allows a designer to draw a multi-agent system graphically, specify the necessary properties, and deploy their applications. ADE offers a set of intuitive, easy to use interfaces that enable a designer to completely specify the agents and agent interactions in a multi-agent system. In this environment, JATLite/sup ［1］/ is improved significantly. Furthermore, ADE provides a unique set of features for a multi-agent system design tool. An agent description method based on Design roadmap/sup ［2］/ theory, a hierarchy of agents, and a fully featured Java-based Graphical User Interface are combined in ADE. This distinct combination of features mates ADE stand out among the existing multi-agent system design tools. This paper presents the research related to the application of the ADE, along with descriptions of its design and implementation.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.164-168
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• 2001

This paper introduces an agent system that assists in user's work on the Internet. First, the agent receives requests from the user or other agents. Since there are various kinds of requests, it is difficult to describe a completes set of request -handling rules in advance. Therefore, the agent makes a plan referring to old cases. The agent executes the plane which is a sequence of basic operation. If the agent fails to execute basic operation or to create a plan. then it makes a new plan by interacting with the user or other agent. Finally the agent stores this new case with user's evaluation score into the case base.