• Asia pacific journal of information systems
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• v.10 no.2
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• pp.23-49
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• 2000

We proposed a conceptual design of the web-based agent model for global supply chain management(GSCM), where agents representing autonomous operational units, such as suppliers, factories, distribution center and customers, cooperate and are coordinated through the information exchange. The agent model assumed the hierarchical federated system. In the federated system, the agents of the same region are grouped and linked to the region-specific facilitator only through which communication between agents is allowed. The facilitator is responsible for monitoring and controlling the conversations consisting of the message flows across the agents. A web-based user presentation was also designed so that human users could involve in collaborative settings into the GSCM multi-agent system. In the conversation protocols which allow for complex coordinated behavior among agents, the KQML was extended to represent the messages. A GSCM scenario where the supply chain is formed upon customer order and supply decision is made was used to demonstrate the dynamics of the conversation protocols.

• Management & Information Systems Review
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• v.39 no.2
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• pp.95-112
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• 2020

This study intends to identify the main triggers of consumer participation behavior by multi-dimensionally reviewing factors affecting active participation behavior in order for consumers to receive better service at service encounter. We also want to review the impact of service contact employees' human services on consumers' experience of positive and negative emotions while performing participation behavior. This study targeted beauty salon services. Beauty salon services are one of the most important industries for human services because of the relatively long time interaction and the high degree of consumer participation that has a great influence on service outcomes. For an empirical analysis survey was conducted on 446 general consumers. SPSS and AMOS analysis was performed. The results of this study are as follows. First, relational benefits were not significant for consumer participation behavior, and functional benefits and hedonic benefits were significant. Consumer participation behavior was found to have a significant effect on positive emotions, but not on negative emotions. It has been shown that the service provider's human service has a significant effect on both positive and negative emotions. Finally, both positive and negative emotions were found to have a significant effect on service quality. Since beauty services are an industry with high social visibility, it has been shown that relational benefits does not significantly affect consumer participation. Negative emotions perceived by consumers did not significantly affect service quality. It may mean that some negative emotions are insignificant. Further studies will need to classify the negative emotion dimension more closely. It is necessary to review the feelings arising from service employees. Finally, it is necessary to review the various types of services of contact employees.

• Korean Journal of Cognitive Science
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• v.11 no.1
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• pp.67-80
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• 2000

Distributed cooperative information system is the one that has various knowledge sources as well as problem solving capabilities to get information in a distributed and heterogeneous data environment. In a distributed cooperative information system. a control mechanism to facilitate the available information is very important. and usually the role of the control mechanism determines the behavior of the total system In this research. we proposed a model of the distributed cooperative information system which is based on the multi-agent paradigm. We also implemented a test system to show l its feasibility. The proposed system makes the knowledge sources into agents and a special agent called 'facilitator' controls the cooperation between the knowledge agents The facilitator uses the knowledge granularity level to determine the sequence of the activation of the agents. In other words. the knowledge source with simple but fast processing mechanism activates first while more sophisticated but slow knowledge sources are activated late. In an environment in which we have several knowledge sources for the same topic. the proposed system will simulate the focusing mechanism of human cognitive process.

• JSTS:Journal of Semiconductor Technology and Science
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• v.14 no.1
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• pp.1-7
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• 2014

A bidirectional transient voltage suppression (TVS) diode consisting of specially designed $p^--n^{{+}+}-p^-$ multi-junctions was developed using low temperature (LT) epitaxy and fabrication processes. Its electrostatic discharge (ESD) performance was investigated using I-V, C-V, and various ESD tests including the human body model (HBM), machine model (MM) and IEC 61000-4-2 (IEC) analysis. The symmetrical structure with very sharp and uniform bidirectional multi-junctions yields good symmetrical I-V behavior over a wide range of operating temperature of 300 K-450 K and low capacitance as 6.9 pF at 1 MHz. In addition, a very thin and heavily doped $n^{{+}+}$ layer enabled I-V curves steep rise after breakdown without snapback phenomenon, then resulted in small dynamic resistance as $0.2{\Omega}$, and leakage current completely suppressed down to pA. Manufactured bidirectional TVS diodes were capable of withstanding ${\pm}4.0$ kV of MM and ${\pm}14$ kV of IEC, and exceeding ${\pm}8$ kV of HBM, while maintaining reliable I-V characteristics. Such an excellent ESD performance of low capacitance and dynamic resistance is attributed to the abruptness and very unique profiles designed very precisely in $p^--n^{{+}+}-p^-$ multi-junctions.

• The Research Journal of the Costume Culture
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• v.18 no.2
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• pp.382-395
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• 2010

The purpose of this study was to compare clothing values and clothing purchasing behaviors between Korean and American college students, especially men. Also this study was to analyze the clothing values effect on the clothing purchasing behavior. For the practical study, 200 questionaries were surveyed, 110 from Korea and 105 from American. The average and frequency, t-test, $\chi^2$, multi-variate analysis of variance and factor analysis were used for this study. The result showed, first, there were little differences in the clothing value aspect. Both Korean college men and American college men considered the theoretical value to be most important, however, the American college men were higher than the Korean college men for theoretical, economic and political values. Compared to the Americans, the Koreans considered social clothing value to be more important but theoretical, economic and political values were less important. Second, there were some differences in most of all the clothing purchasing behaviors. There were slight differences in the reasons for the purchases between Korean and American college men. Both of them said that they purchase clothes to satisfy their needs. Regarding the information sources for the purchase, The Korean college men were slightly higher than the American college men for the media information sources and lower than them for the human information sources. Regarding the place where the clothes were purchased, the Korean college men preferred to make purchases at department stores, and the American college men preferred shopping malls. Regarding the monthly expenses for clothing, less than 50,000 won($50) was the average for most of the Korean women, but most of the American college women spent 100,000~150,000 won($150) per month. Third, the clothing value was different in the reason for purchasing, the purchasing information source, the purchasing place, and the monthly expenses for the clothing.

• Journal of Information Processing Systems
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• v.8 no.3
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• pp.409-420
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• 2012

The decision-making by agents in games is commonly based on reinforcement learning. To improve the quality of agents, it is necessary to solve the problems of the time and state space that are required for learning. Such problems can be solved by Macro-Actions, which are defined and executed by a sequence of primitive actions. In this line of research, the learning time is reduced by cutting down the number of policy decisions by agents. Macro-Actions were originally defined as combinations of the same primitive actions. Based on studies that showed the generation of Macro-Actions by learning, Macro-Actions are now thought to consist of diverse kinds of primitive actions. However an enormous amount of learning time and state space are required to generate Macro-Actions. To resolve these issues, we can apply insights from studies on the learning of tasks through Programming by Demonstration (PbD) to generate Macro-Actions that reduce the learning time and state space. In this paper, we propose a method to define and execute Macro-Actions. Macro-Actions are learned from a human subject via PbD and a policy is learned by reinforcement learning. In an experiment, the proposed method was applied to a car simulation to verify the scalability of the proposed method. Data was collected from the driving control of a human subject, and then the Macro-Actions that are required for running a car were generated. Furthermore, the policy that is necessary for driving on a track was learned. The acquisition of Macro-Actions by PbD reduced the driving time by about 16% compared to the case in which Macro-Actions were directly defined by a human subject. In addition, the learning time was also reduced by a faster convergence of the optimum policies.

• Journal of the Korean Ceramic Society
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• v.43 no.8 s.291
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• pp.504-508
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• 2006

Functionally gradient porous $Al_2O_3-(t-ZrO_2)/HAp$ composites consist of 3 layers were fabricated using the multi-pass extrusion process at the various temperatures. The continuous pores were homogeneously formed in the $2^{nd}$ passed samples and their size was about $180{\mu}m$ in diameter. In the porous composites sintered at $1200-1400^{\circ}C$, the relative density and bending strength increased with the sintering temperature. The maximum values of relative density and bending strength in the $2^{nd}$ passed $Al_2O_3-(t-ZrO_2)/HAp$ composites were 62.2% and 107.8 MPa, respectively. In order to investigate the growth behavior of osteogenic cells on the functionally gradient porous $Al_2O_3-(t-ZrO_2)/HAp$ composites, an in vitro test was performed, using human osteoblast-like MG-63 cells. The cells were well attached and grown on the rough surface of the inside of the functionally gradient porous body.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.7
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• pp.1033-1038
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• 2013

Petrochemical complex has been a lot of research for the development of a more mature product and analysis for mid-process and finished products is essential in these process. But these analyzes are still by hand work samples being manufactured in many parts. Moreover they are exposed to hazardous chemical and such as the analysis is being made in a very poor working conditions. In this paper, in order to solve such problems the multi control system has been developed for the automated analysis. In addition, the organic behavior of these systems and the development of a program for the automated applied, and throughout the experiment to verify the reliability of this device for the accuracy of the dosing pumps for the standard solution prepared with a range of error of ${\pm}0.01m{\ell}$ was able to get a very good experimental results.

• Journal of Home Health Care Nursing
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• v.22 no.1
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• pp.22-37
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• 2015

Purpose: This study aimed to compare the health service delivery level and educational needs by work experiences and types of public health center among the nurses who work as visiting health services workers at public health centers. Methods: Data collected from 484 nursing staff for 2 weeks, was analyzed using the SPSS program t-test, ANOVA, and Spearman Rank-Order Correlation. Nurses with more than 2 years experience were 79.1%; and 43.6% of the subjects worked within Gun type public health centers. Results: The health service performance frequency of metropolitan city type public health centers was significantly high in the areas of education, behavior pattern, chronic disease, pregnant women & infants, and multi-cultural family. The health service performance frequency of Gun type public health centers was significantly high in the areas of type of test, fundamental nursing, and basic rehabilitation. In addition, the correlation between the performance frequency and educational needs was positively correlated, and the subjects with greater educational needs performed more. Conclusion: Educational programs should be designed according to the types of public health centers rather than work experiences, especially in systematic training for frequently performed items after reviewing the practice precisely.

• Proceedings of the KOR-KST Conference
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• 2000.02a
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• pp.25-47
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• 2000

In route guidance systems fastest-path routing has typically been adopted because of its simplicity. However, empirical studies on route choice behavior have shown that drivers use numerous criteria in choosing a route. The objective of this study is to develop computationally efficient algorithms for identifying a manageable subset of the nondominated (i.e. Pareto optimal) paths for real-time vehicle routing which reflect the drivers' preferences and route choice behaviors. We propose two pruning algorithms that reduce the search area based on a context-dependent linear utility function and thus reduce the computation time. The basic notion of the proposed approach is that ⅰ) enumerating all nondominated paths is computationally too expensive, ⅱ) obtaining a stable mathematical representation of the drivers' utility function is theoretically difficult and impractical, and ⅲ) obtaining optimal path given a nonlinear utility function is a NP-hard problem. Consequently, a heuristic two-stage strategy which identifies multiple routes and then select the near-optimal path may be effective and practical. As the first stage, we utilize the relaxation based pruning technique based on an entropy model to recognize and discard most of the nondominated paths that do not reflect the drivers' preference and/or the context-dependency of the preference. In addition, to make sure that paths identified are dissimilar in terms of links used, the number of shared links between routes is limited. We test the proposed algorithms in a large real-life traffic network and show that the algorithms reduce CPU time significantly compared with conventional multi-criteria shortest path algorithms while the attributes of the routes identified reflect drivers' preferences and generic route choice behaviors well.