• Journal of Intelligence and Information Systems
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• v.9 no.3
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• pp.1-21
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• 2003

In this research, we developed a Multi-Agent based Negotiation Support System to be able to increase the competitive power of a company in dynamic environment and correspond to various orders of customers by diffusion of electronic commerce. The system uses the agent technology that is being embossed as new paradigm in dynamic environment and flexible system framework. The multi-agent technology is used to solve these problems through cooperation of agent. The system consists of six sub agents: Mediator, manufacturability Analysis Agent, Process Planning Agent, Scheduling Agent, Selection Agent, Negotiation-strategy Building Agent. In this paper, the proposed Multi-Agent based Negotiation Support System takes aim at the automation of transaction process from ordering to manufacturing plan through the automation of negotiation that is the most important in order-taking transaction.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2002.10a
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• pp.636-640
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• 2002

In contrast to conventional CNC, PC-NC opens a new era for machine tools to be more intelligent. For instance, machine tool with PC-NC can be a machine agent system with capability of reacting autonomously to changing operating conditions. This paper introduces a concept of intelligent machine agent system, composed of machine agent and cell manager. Machine agent performs the functions such as process monitoring, diagnosis, maintenance management, condition assessment and schedule negotiation, while cell manager coordinates the negotiation process among multiple machine agents.

• Journal of Intelligence and Information Systems
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• v.9 no.2
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• pp.65-85
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• 2003

Any ERP system pushes a company toward full process integration and solves the fragmentation of information. However, the tight process integration can propagate and magnify mistakes made in one department into the other departments in real time. Thus, it can be posited that a central support system for the coordination can help ERP users and administrators dig out problems, take care of tedious validation and verification, and maintain process integration of ERP with great consistency. This paper proposes an agent-based ERP operations support system (EOSS) that aims at achieving and maintaining process integration of ERP at the highest level possible. With EOSS, the process integrity is monitored, with anomalies prevented as early as possible and repaired as precisely as possible.

• Proceedings of the KAIS Fall Conference
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• 2003.11a
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• pp.19-27
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• 2003

Any ERP system pushes a company toward full process integration and solves the fragmentation of information. However, the tight process integration can propagate and magnify mistakes made in one department into the other departments in real time. Thus, it can be posited that a central support system for the coordination can help ERP users and administrators dig out problems, take care of tedious validation and verification, and maintain process integration of ERP with great consistency. This paper ,proposes an agent-based ERP operations support system (EOSS) that aims at achieving and maintaining process integration of ERP at the highest level possible. With EOSS, the process integrity is monitored, with anomalies prevented as early as possible and repaired as precisely as possible.

• Journal of Intelligence and Information Systems
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• v.7 no.1
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• pp.1-15
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• 2001

Recently, Internet based Electronic Commerce is recognized as one of the alternatives for strengthening sales power of small and medium companies. However, small and medium manufacturers can't adjust properly to the new environment because they are in short of money, personnel, and technology. To cope with this problem, this paper deals with the development of virtual manufacturing agent to support sales agent. The sales activity of most of parts manufacturing companies is based on orders of buyers. The process of promotion, receipt and selection of orders of the parts manufacturing is closely coupled with the load status of the production lines. On deciding whether to accept an order or not, as well as negotiating with buyers, sales person needs information such as load and schedule of production lines, manufacturability of the order. Therefore, the functions of virtual manufacturing agents manufacturability analysis, process planning, and scheduling are key features in developing an agent of sales activity for the parts manufacturing business. While most of research on virtual manufacturing system so far is focused on the simulation of each product, this paper deals with the development of agent assisting internet-based product sales by supporting production information promptly. The pilot system of virtual manufacturing agent is implemented using KQML-based agent template and Java-based expert system shell for a small molding company.

• Journal of Environmental Science International
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• v.27 no.9
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• pp.781-788
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• 2018

The volatile odor compounds emitted form a stuffing agent production process were quantified by ATD and GC-MS, and then odor causing compounds were identified by the method of EOI using each TLV. As the results, 72 odor compounds were detected and total concentration was turned up 87.6 ppmv level. In these compounds, aldehyde group is higher 45.49 ppmv than others group, the next is turn up the order of aliphatics, alcohols, esters, ketones. The EOA of aldehyde group show up 101,720 and 97.2%, respectively, the odor causing compounds were identified each of odor 2-Octenal 28.31%, Hexanal 24.06%, Valeraldehyde 16.07%, Butyraldehyde 9.69%, Heptanal 4.97%, Propionaldehyde 4.64%, Acetaldehyde 3.31%. The TLVs of 7 major odor compounds are lower value level of 0.001~0.0001 ppmv, odor causing even in trace level. We need to be concerned with reduction of aldehyde compounds in the odor problem by a stuffing agent production process or ironing process of the textile containing a stuffing agent.

• Proceedings of the KSR Conference
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• 2004.06a
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• pp.309-314
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• 2004

This study focused on the introduction of damage repair for polymeric composite carbody. called selfing tech-healinique. using microcapsules loaded with the healing agent The manufacturing process for microcapsules with the healing agent was introduced and tile characteristics of microcapsules manufactured by varying with various manufacturing process variables were evaluated. The DCPD was used for the healing agent and microcapsules were made of urea-formaldehyde resin. The magnitude and the size distribution of microcapsules were measured by a particle size analyzer using laser diffraction technique. Thermal stability was investigated by using a TGA under continuous and isothermal heating conditions for the healing agent. microcapsules without the healing agent. microcapsules with the healing agent.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.10a
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• pp.181-182
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• 2006

• Elastomers and Composites
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• v.50 no.1
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• pp.13-17
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• 2015

A study of the effects of MWCNT as a nucleating agent on the formation reactions of the rigid polyurethane foams (RPUFs) was carried out. Sample PUFs, formulated with grease-type master batch of MWCNT/surfactant, were fabricated by free-rising method. Temperature changes with time during foaming process were measured using a digital thermometer. RPUF foaming process was observed to undergo 2-step processes with temperature inflection around 60 sec after the start of reaction, and then reached slowly the max. temperature. While the max. temperature of neat PUF was measured as ca. $120^{\circ}C$, that of the samples with MWCNT were as higher value as ca. $130^{\circ}C$, and, even the time to reach that temperature was reduced by about 15 sec. Average cell size of PUF samples decreased from 185.1 for the neat PUF to $162.9{\mu}m$ for the sample of 0.01 phr of MWCNT. As the result, it was considered that MWCNT in RPUF foaming process could play a roll both as a nucleating agent and as a catalyst.

• Nuclear Engineering and Technology
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• v.54 no.9
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• pp.3283-3292
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• 2022

Based on the Deep Q-Network(DQN) algorithm of reinforcement learning, an active fault-tolerance method with incremental action is proposed for the control system with sensor faults of the once-through steam generator(OTSG). In this paper, we first establish the OTSG model as the interaction environment for the agent of reinforcement learning. The reinforcement learning agent chooses an action according to the system state obtained by the pressure sensor, the incremental action can gradually approach the optimal strategy for the current fault, and then the agent updates the network by different rewards obtained in the interaction process. In this way, we can transform the active fault tolerant control process of the OTSG to the reinforcement learning agent's decision-making process. The comparison experiments compared with the traditional reinforcement learning algorithm(RL) with fixed strategies show that the active fault-tolerant controller designed in this paper can accurately and rapidly control under sensor faults so that the pressure of the OTSG can be stabilized near the set-point value, and the OTSG can run normally and stably.