• Textile Coloration and Finishing
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• v.11 no.5
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• pp.7-12
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• 1999

The objective of this study is to apply water repellent and flame retardant finishes simultaneously to the fabric used for automobile. Both two step and one step methods were tried to apply the finishing agent to the fabric. In the two step method, water repellent agent was treated first, and flame retardant agent was applied next. The reverse finishing process was also attempted. In the one step method, flame retardant agent and water repellent agent treated to the fabric in one bath. The results of two step method revealed that the finishing effect was better when the water repellent agent was treated first than when flame retardant agent was treated first. In one step method, fluoro water repellent agent was superior to silicon water repellent agent.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.36 no.4
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• pp.130-137
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• 2013

In this paper, we consider a two-agent scheduling with sequence-dependent exponential learning effects consideration, where two agents A and B have to share a single machine for processing their jobs. The objective function for agent A is to minimize the total completion time of jobs for agent A subject to a given upper bound on the objective function of agent B, representing the makespan of jobs for agent B. By assuming that the learning ratios for all jobs are the same, we suggest an enumeration-based backward allocation scheduling for finding an optimal solution and exemplify it by using a small numerical example. This problem has various applications in production systems as well as in operations management.

• International Journal of Control, Automation, and Systems
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• v.1 no.2
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• pp.257-261
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• 2003

In this study, we investigated the modeling and design of an Intelligent Agent System (IAS). To achieve this goal, we introduced several kinds of agents that exhibit intelligent features. These are the main agent, management agent, watcher agent, report agent and application agent. We applied the intelligent agent concept to two different application fields, i.e. the intelligent agent system for pattern classification and the intelligent agent system for bank asset management modeling.

• The Journal of Advanced Prosthodontics
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• v.14 no.2
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• pp.78-87
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• 2022

PURPOSE. This study aimed to compare the effect of different surface treatments and luting agent types on the shear bond strength of two ceramics to commercially pure titanium (Cp Ti). MATERIALS AND METHODS. A total of 160 Cp Ti specimens were divided into 4 subgroups (n = 40) according to surface treatments received (control, 50 ㎛ airborne-particle abrasion, 110 ㎛ airborne-particle abrasion, and tribochemical coating). The cementation surfaces of titanium and all-ceramic specimens were treated with a universal primer. Two cubic all-ceramic discs (lithium disilicate ceramic (LDC) and zirconia-reinforced lithium silicate ceramic (ZLC)) were cemented to titanium using two types of resin-based luting agents: self-cure and dual-cure (n = 10). After cementation, all specimens were subjected to 5000 cycles of thermal aging. A shear bond strength (SBS) test was conducted, and the failure mode was determined using a scanning electron microscope. Data were analyzed using three-way ANOVA, and the Tukey-HSD test was used for post hoc comparisons (P < .05). RESULTS. Significant differences were found among the groups based on surface treatment, resin-based luting agent, and ceramic type (P < .05). Among the surface treatments, 50 ㎛ air-abrasion showed the highest SBS, while the control group showed the lowest. SBS was higher for dual-cure resin-based luting agent than self-cure luting agent. ZLC showed better SBS values than LDC. CONCLUSION. The cementation of ZLC with dual-cure resin-based luting agent showed better bonding effectiveness to commercially pure titanium treated with 50 ㎛ airborne-particle abrasion.

• Journal of Environmental Health Sciences
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• v.40 no.2
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• pp.157-170
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• 2014

Objectives: Agent Orange TCDD has been related to serious diseases among Korean veterans who were exposed to it. Decades after the end of the war, however, its effects are still being debated. The object of this study was to examine various unmet needs raised among Agent Orange exposed veterans and their families and to find grounds of a new welfare policy for providing alternative legislation. Methods: Literatures concerning Agent Orange, TCDD, the associated diseases, compensation for veterans and Supreme Court sentencing were searched using PubMed, ProQuest, press news and relevant homepages. Results: Agent Orange exposed veterans are eligible for various benefits from the government, including disability compensation for diseases associated with exposure. The Ministry of Patriots and Veterans Affairs has classified certain diseases into two categories, Agent Orange sequela diseases and sequela suspect diseases and has provided differential benefits based on separated laws. Big differences exist in benefits to veterans and their families between the two laws. The absence of definite standards to classify the Agent Orange associated diseases was confirmed by recent Supreme Court sentencing which ruled in favor of US manufacturers. Conclusion: It appears that the evidence for cause and effect of Agent Orange related diseases would never be perfect. The results suggest a need to change welfare principles from presumptive or indefinite disease basis to exposure experiences combined with integrated disability evaluation. We propose to extend eligibility by enacting a new law for Agent Orange exposed Korean veterans.

• Weed & Turfgrass Science
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• v.6 no.4
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• pp.313-321
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• 2017

Wetting agent is designed to reduce the surface tension of the liquid and spread more easily across or penetrate into the soil against water repellency. The effect of wetting agent to seed germination is not clear. Using germination enhancer is one of the methods to increase the germination speed of turfgrass seeds and to shorten establishment period. The objective of the study was to evaluate germination enhancer and wetting agent for quick establishment of various Kentucky bluegrass cultivars. The germination enhancer was used at two levels of 0.3 and $0.6ml\;kg^{-1}$ as low and high, respectively. Two levels of wetting agent were of 0.46, and $0.92ml\;m^{-2}$ as low and high, respectively. Germination enhancer has no synergistic effect with wetting agent. When quick establishment is required, selection of cultivar would be more effective instead of using germination enhancer and wetting agent. Among Kentucky bluegrass cultivars, 'Award' had the greatest turfgrass coverage for establishment and the greatest turfgrass color and quality based on the result of the study. When quick establishment is required, selection of cultivar would be more effective instead of using germination enhancer and wetting agent.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2001.04a
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• pp.393-397
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• 2001

This paper addresses an Intelligent Agent-based Open Architecture Cell Controller for Intelligent Manufacturing System(IMS). With an Intelligent Agent approach, the IMS will be a independent, autonomous, distributed system and achieve a adaptability to change of manufacturing environment. As the development methodology of Open Architecture Cell Controller, an object-oriented modeling technique is employed for building models associated with IMS operation, such as resource model, product model, and control model. Intelligent Agent-based Open Architecture Cell Controller consists of two kinds of dependant agents, that are the active agent and the coordinator agent. The Active agent is contributed to control components of IMS in real-time. The coordinator agent has great role in scheduling and planning of IMS. It communicates with other active agents to get information about status on system and generates the next optimal task through the making-decision logic and dispatch it to other active agent.

• 제어로봇시스템학회:학술대회논문집
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• 1999.10a
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• pp.292-297
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• 1999

Evolving in artificial agent is an extremely difficult problem, but on the other hand, a challenging task. At present the studies mainly centered on single agent learning problem. In our case, we use simulated soccer to investigate multi-agent cooperative learning. Consider the fundamental differences in learning mechanism, existing reinforcement learning algorithms can be roughly classified into two types-that based on evaluation functions and that of searching policy space directly. Genetic Programming developed from Genetic Algorithms is one of the most well known approaches belonging to the latter. In this paper, we give detailed algorithm description as well as data construction that are necessary for learning single agent strategies at first. In following step moreover, we will extend developed methods into multiple robot domains. game. We investigate and contrast two different methods-simple team learning and sub-group loaming and conclude the paper with some experimental results.

• The KIPS Transactions:PartA
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• v.16A no.1
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• pp.1-8
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• 2009

Ubiquitous computing requires an intelligent environment where the users do not need to be involved in the operation. The agent technology allows effective implementation of ubiquitous system, while agent platform provides efficient and stable interaction between the agents. In this paper we propose a hierarchical P2P networking approach where the messages are combined inside the agent platform and then compressed in two levels. The proposed approach capitalizes the static nature of the messages of typical context-aware applications. Experiment with an actual multi-agent system reveals that the response time and throughput are significantly improved compared to the existing scheme.

• Educational Technology International
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• v.15 no.1
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• pp.1-26
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• 2014

The purpose of this study was to develop design principles of both animated pedagogical agents as 'credible' persuasive message source and persuasive fear arousing instructional messages in order to help enhance attitude changes toward a certain issue. Based on the previous pedagogical agent research, this study drew the design principles providing ways to manipulate agent credibility level and fear arousing level of message. Consequently, it specified how to make pedagogical agents perceived less or more credible by learners by manipulating a variety of agent features. For fear arousing message, this study showed how fear arousing messages would be structured into one of three levels: non-threatening, moderately threatening, and strongly threatening. Two different agent conditions and three message conditions were actually developed and experimentally tested with the participants of 40 undergraduate students. The results showed that the agent design principles specified from the previous research worked well enough to make a distinction between the more credible agent and the less credible agent. The overall results of this study may indicate that the design strategies for fear arousing message are retained on the premise of some future refinements.