• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.1
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• pp.123-144
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• 2014

Wireless sensor networks are generally deployed for specific applications to accomplish certain objectives over a period of time. To fulfill these objectives, it is crucial that the sensor network continues to function for a long time, even if some of its nodes become faulty. Energy efficiency and fault tolerance are undoubtedly the most crucial requirements for the design of an information extraction protocol for any sensor network application. However, most existing software agent based information extraction protocols are incapable of satisfying these requirements because of static agent itineraries and large agent sizes. This paper proposes an Information Extraction protocol based on Multiple software Agents with Dynamic Itineraries (IEMADI), where multiple software agents are dispatched in parallel to perform tasks based on the query assigned to them. IEMADI decides the itinerary for an agent dynamically at each hop using local information. Through mathematical analysis and simulation, we compare the performance of IEMADI with a well known static itinerary based protocol with respect to energy consumption and response time. The results show that IEMADI provides better performance than the static itinerary based protocols.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.10a
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• pp.1357-1360
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• 2004

In this paper, a prototype of agent-based engineering system is developed based on the AADE (autonomous agent development environment), a FIPA compliant agent platform. By applying several advanced technologies including software agents, Internet/Web, workflow and database, the developed prototype system is able to successfully fulfill our target of integrating personnel, design activities and engineering resources along a predefined engineering design project (workflow). A software prototype is implemented to integrate various engineering software tools including CAD, structural analysis (FEA), dynamic analysis, fatigue analysis. A wheel-axle-assembly (part of a bogie system) is chosen as a test case for the validation of the prototype system.

• 유체기계공업학회:학술대회논문집
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• 2004.12a
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• pp.711-714
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• 2004

A project to develop internet based collaborative engineering environments using agent technology is started to develop an agent based soft system for design and performance analysis of centrifugal pumps. This paper introduces the feasible technology needed to construct a pump design system based on software agent.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.9
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• pp.4379-4397
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• 2017

Three different improvements of the Velocity-based model were proposed in a minimal velocity-based pedestrian model. The improvements of the models are based on the different agent forms. The different representations of the agent lead to different results, in this paper, we simulated the pedestrian movements in some typical scenes by using different agent forms, and the agent forms included the circles with different radiuses, the ellipse and the multi-circle stand for one pedestrian. We have proposed a novel model of pedestrian dynamics to optimize the simulation. Our model specifies the pedestrian behavior using a dynamic ellipse, which is parameterized by their velocity and can improve the simulaton accuracy. We found a representation of the pedestrian much closer to the reality. The phenomena of the self-organization can be observable in the improved models.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.156-163
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• 2001

Business forecasting is vital to the success of business. There has been an increasing demand for building business forecasting software system to assist human being to do forecasting. However, the uncertain and complex nature makes is a challenging work to analyze, design and implement software solutions for business forecasting. Traditional forecasting systems in which their models are trained based on small collection of historical data could not meet such challenges at the information explosion over the Internet. This paper presents an agent oriented business forecasting approach for building intelligent business forecasting software systems with high reusability. Although agents have been applied successfully to many application domains. little work has been reported to use the emerging agent oriented technology of this paper is that it explores how agent can be used to help human to manage various business forecasting processes in the whole business forecasting life cycle.

• Journal of the Korea Society for Simulation
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• v.27 no.2
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• pp.101-114
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• 2018

Several different approaches and mechanisms are introduced to solve the UAV path planning problem. In this paper, we designed and implemented an agent-based simulation software using the Repast platform and Java Genetic Algorithm Package to examine an evolutionary path planning method by implementing and testing within the Repast environment. The paper demonstrates the life-cycle of an agent-based simulation software engineering project while providing a documentation strategy that allows specifying autonomous, adaptive, and interactive software entities in a Multi-Agent System. The study demonstrates how evolutionary path planning can be introduced to improve cognitive agent capabilities within an agent-based simulation environment.

• Proceedings of the Korea Contents Association Conference
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• 2005.11a
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• pp.644-648
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• 2005

Agent-Oriented Software Engineering is the one of the most recent contributions to the field of Software Engineering. This method has many benefits compared in existing development approaches. In particular the ability to let agents represent high level abstraction of active entity in software system. This paper gives an overview of research for agent-oriented software and industrial applications.

• 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 Korean Society of Precision Engineering Conference
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• 2004.10a
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• pp.572-575
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• 2004

Since the 1990s, the advancement of semiconductor technology has resulted in the development of microprocessor technology, auxiliary computer technology, and application technology such as intelligent algorithms (neural network, fuzzy, etc.). These based the development of intelligent machines. An agent is autonomous software that recognizes environment, exchanges knowledge with other agents and makes decisions. We designed agent-based sensor structure. For the purpose, first, it modeled the function of an intelligent machine. Second, it designed sensory function on the agent level.

• Proceedings of the Korea Society for Simulation Conference
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• 2001.10a
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• pp.453-458
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• 2001

A mobile agent is an autonomous software agent capable of moving from one computer to another while performing its tasks. We view the agent as a discrete event system in the view of its computation and communication. This paper presents a methodology far modeling and simulation of such a mobile agent system as a discrete event system. The methodology is based on the Mobile Discrete Event System Specification (MDEVS) formalism and the associated simulation environment AgentSim which are previously developed by the authors. Within the methodology an atomic model represents dynamics of a mobile agent; a coupled model is modeled as mobile agent servers for representation of structural changes between atomic agents. Being based on the object-oriented environment the modeling methodology exploits inheritance of basic classes AtomicModel and CoupledModel provided by AgentSim.