• Journal of Periodontal and Implant Science
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• v.32 no.3
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• pp.655-664
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• 2002

The purpose of this study was to observe the degree of surface obliteration of dentinal tubule using Gluma(R) desensitizer and MS coat(R) with 15 specimens made out of 15 extracted lower incisors. They were divided into Root planning group(control), Gluma(R) desensitizer group(test I ) and MS coat(R) group(test II). Degree of Obliteration was examined under the scanning electron microscope(${\times}$2000). The following results were obtained: 1. In the root planning group(control), the complete open of dentinal tubule surface was accounted for 73.8%, the partial obliteration for 17.2% and the complete obliteration for 9.0%. 2. In the Gluma(R) desensitizer group (test I), the complete open of dentinal tubule surface was accounted for 23.6%, the partial obliteration for 42.8% and the complete obliteration for 33.6%. 3. In the MS coat(R) group (test II), the complete open of dentinal tubule surface was accounted for 19.2%, the partial obliteration for 45.6% and the complete obliteration for 35.2%. 4. The average number of open dentinal tubules in the control was significantly higher than in the test I and II (P<0.05), but there were no statistically significant differences between the test I and II. 5. The average number of the partially obliterated and the completely blocked dentinal tubules in the control was significantly lower than the test I and II(P<0.05), but there were no statistically significant differences between the test I and II. The results of this study suggest that Gluma(R) desensitizer and MS coat(R) is significantly effective on dentinal tubule obliteration, therefore they were effective on hypersensitivity caused by periodontal treatment

• The KIPS Transactions:PartB
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• v.9B no.1
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• pp.23-28
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• 2002

A fundamental problem in building an intelligent agent is that an agent does not understand the meaning of its perception or its action. One reason that an agent cannot understand the world is partially caused by a syntactic approach that converts a semantic feature into a simple string. To solve this problem, Cohen introduces a semantic approach that an agent autonomously learns a meaningful representation of physical schemas, on which some advanced conceptual structures are built, from physically interacting with environment using its own sensors and effectors. However, Cohen does not deal with a meta level of conceptual primitive that makes recognizing a schema possible. We propose that negation is a meta schema that enables an agent to recognize a physical schema. We prove some semantic aspects of negation.

• Journal of Institute of Control, Robotics and Systems
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• v.11 no.12
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• pp.984-990
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• 2005

The aim of this paper is to investigate a control framework for mobile robots, operating in shared environment with humans. The Intelligent Space (iSpace) can sense the whole space and evaluate the situations in the space by distributing sensors. The mobile agents serve the inhabitants in the space utilizes the evaluated information by iSpace. The iSpace evaluates the situations in the space and learns the walking behavior of the inhabitants. The human intelligence manifests in the space as a behavior, as a response to the situation in the space. The iSpace learns the behavior and applies to mobile agent motion planning and control. This paper introduces the application of fuzzy-neural network to describe the obstacle avoidance behavior teamed from humans. Simulation results are introduced to demonstrate the efficiency of this method.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.149.2-149
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• 2001

In this paper, we present an agent-based transportation routing method in a semi-conductor production line. The main characteristic of the proposed method is that each AGV agent individually searches candidates of its route with reference of the pheromone information based on the use of an analogy of Ant System. The proposed method is applied to several routing problems. The performances of the proposed method are compared with those of a Genetic Algorithm. The effectiveness of the proposed method is conrmed by many numerical examples. In order to demonstrate the effectiveness of the proposed method for an actual problem, the proposed method is applied to a dynamic motion planning. The proposed method ...

• Journal of Construction Engineering and Project Management
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• v.5 no.4
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• pp.12-15
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• 2015

Size of building has a direct relationship with building cost, energy use and space maintenance cost. Therefore, minimizing building size during a project development is of paramount importance against such wastes. However, incautious reduction of building size may result in crowded space, and therefore harms the functionality despite the fact that building is supposed to satisfactorily support users' activity. A well-balanced design solution is, therefore, needed at an optimum level that minimizes building size in tandem with providing sufficient space to maintain functionality. For such design, architects and engineers need to be informed accurate and reliable space-use information. We present in this paper a conceptual framework of an agent-based space-use prediction simulation system that provides individual level space-use information over time in a building in consideration of project specific user information and activity schedules, space preference, ad beavioural rules. The information will accordingly assist architects and engineers to optimize space of the building as appropriate.

• Textile Coloration and Finishing
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• v.19 no.5
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• pp.8-16
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• 2007

The dye-resist effect of reactive dye-resist agents in reactive dyeing of silk was investigated. The dichlorotriazine-based dye-resists achieved a higher effectiveness than others since they make a charge barrier of diffusion in the silk fiber periphery due to high reactivity of dichlorotriazine group. Similarly, in the case of hetero-multifunctional dye-resist agent, the dye-resist agent containing both a dichlorotriazine and an ${\alpha}$-bromoacrylamide reactive groups achieved better resist effectiveness than those containing both a monochlorotriazine and an ${\alpha}$-bromoacrylamide groups. Also, their resist effectiveness was improved by increasing the number of sulfonate groups in the dye-resist agents and the number of reactive groups in the reactive dyes applied to them.

• Advances in robotics research
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• v.2 no.3
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• pp.247-257
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• 2018

Various studies have been performed to coordinate robots in transporting objects and different artificial intelligence algorithms have been considered in this field. In this paper, we investigate and solve Multi-Robot Transportation problem by using a combined auction algorithm. In this algorithm each robot, as an agent, can perform the auction and allocate tasks. This agent tries to clear the auction by studying different states to increase payoff function. The algorithm presented in this paper has been applied to a multi-robot system where robots are responsible for transporting objects. Using this algorithm, robots are able to improve their actions and decisions. To show the excellence of the proposed algorithm, its performance is compared with three heuristic algorithms by statistical simulation approach.

• Journal of People, Plants, and Environment
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• v.22 no.3
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• pp.241-253
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• 2019

This study presents the standards for desirable local transfer of public affairs by analyzing the perceptions of experts in the academia and research institutes, as well as public officials in the environmental sector in charge of environmental affairs. The results of this study tend to be partially consistent with the results of previous studies that there is a difference in perception among respondents depending on the affiliation of experts and public officials. Among the policy tasks, there was a statistically significant difference among the respondents in perception of responsible agent for carrying out sustainable land planning and management. Regarding general environmental affairs, there was a statistically significant difference among pubic officials in different affiliations in perception of responsible executive agent for natural environment, living environment, and resource circulation.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.349-352
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• 2015

Size of building has a direct relationship with building cost, energy use and space maintenance cost. Therefore, minimizing building size during a project development is of paramount importance against such wastes. However, incautious reduction of building size may result in crowded space, and therefore harms the functionality despite the fact that building is supposed to satisfactorily support users' activity. A well-balanced design solution is, therefore, needed at an optimum level that minimizes building size in tandem with providing sufficient space to maintain functionality. For such design, architects and engineers need to be informed accurate and reliable space-use information. We present in this paper a conceptual framework of an agent-based space-use prediction simulation system that provides individual level space-use information over time in a building in consideration of project specific user information and activity schedules, space preference, ad beavioural rules. The information will accordingly assist architects and engineers to optimize space of the building as appropriate.

• Journal of Korea Game Society
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• v.8 no.1
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• pp.79-90
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• 2008

This paper describes a motivation-based hierarchical behavior planning framework to allow autonomous agents to select adaptive actions in simulation game environments. The combined behavior planning system is formed by four levels of specification, which are motivation extraction, goal list generation, action list determination and optimization. Our model increases the complexity of virtual human behavior planning by adding motivation with sudden and cumulative attributes. The motivation selection by probability distribution allows NPC to make multiple decisions in certain situations in order to embody realistic virtual humans. Hierarchical goal tree enhances the effective reactivity. Optimizing for potential actions provides NPC with safe and satisfying actions to adapt to the virtual environment. A restaurant simulation game was used to elucidate the mechanism of the framework.