• Biomolecules & Therapeutics
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• v.8 no.3
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• pp.207-212
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• 2000

The root extract of pulsatilla koreana has been used as antibacterial, antiparasitic and anti-inflam-matory analgesic agents in Traditional Medicine in Korea. Thus anti-inflammatory and analgesic actions of the methanol and water extracts of the root were investigated by administration in oral and intravenous route. From the results, it is concluded that the extracts exhibited the potent anti-inflammatory and analgesic actions in intravenous administration, but did not show the actions in oral administration in animals.

• Journal of the Korean Mathematical Society
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• v.58 no.2
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• pp.439-449
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• 2021

In this paper, we introduce the notions of expansiveness, shadowing property and topological stability for group actions on metric spaces and give a version of Walters's stability theorem for group actions on locally compact metric spaces. Moreover, we show that if G is a finitely generated virtually nilpotent group and there exists g ∈ G such that if Tg is expansive and has the shadowing property, then T is topologically stable.

• The Journal of the Korea Contents Association
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• v.11 no.7
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• pp.9-20
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• 2011

In this paper, we attempt to realize the diversity of human actions in a virtual world in terms of the basic actions. We utilize the comprehensive knowledge structure of ontology to organize the human actions into an action hierarchy, each action being the root action of its associated hierarchy of specialized actions. Each basic action is implemented by composing the primitive motions and each basic action in turn by reusing those basic actions. Our approach to the development of these actions is focused more on their diversity and brevity than on their visual realism. Based on this design we develop a method to grasp virtual humans' characteristics and reflect those characteristics on their respective action patterns. We also present a mechanism for the agents to adapt their motions to diverse qualitative changes in environment. We apply these methods to such basic actions as walk, run and throw to demonstrate their viability.

• Journal of muscle and joint health
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• v.22 no.1
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• pp.40-47
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• 2015

Purpose: The purpose of this study was to identify factors influencing on performance of preventive actions to be exposed to infection in emergency nurses. Methods: Participants were 200 emergency nurses working in a regional emergency medical center, 4 local emergency medical centers, and 5 local emergency medical facilities in B city. The data were analyzed with descriptive statistics, independent t-test, ANOVA, Scheff$\acute{e}$'s test, Pearson's correlation coefficients, and stepwise multiple regression analysis using SPSS/WIN 21.0 programs. Results: There was no difference in performance of preventive actions to be exposed to infection by socio-demographic and job-related characteristics. The results of stepwise multiple regression analysis showed that levels of perception of preventive actions to be exposed to infection (${\beta}$=.40, p<.001) and protective environment on exposure to infection (${\beta}$=.22, p<.001) were significantly associated with performance of preventive actions, explaining 26.3% of the variance. Conclusion: In conclusion, improving performance of preventive actions to be exposed to infection is important to protect emergency nurses from exposure to infection. Thus, efforts to enhance protective environment on exposure to infection and to improve perceptions of preventive actions to be exposed to infection are necessary to improve the performance of preventive actions in emergency nurses.

• Journal of the Korean Society of Safety
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• v.33 no.6
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• pp.136-143
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• 2018

In this study, we conducted a pilot study on the multiple spurious operations (MSO) analysis in the fire probabilistic safety assessment (PSA) of domestic nuclear power plant (NPP) to identify the degree of influence of the operator actions used in the MSO mitigation strategies. The MSO scenario of the domestic reference NPP selected for this study is refueling water tank (RWT) drain down event. It could be caused by spurious operations of the containment spray system (CSS) of the reference NPP. The RWT drain down event can be stopped by the main control room (MCR) operator actions for stopping the operation of CSS pump or closing the CSS motor operated valve if the containment spray actuation signal (CSAS) is spuriously actuated. Outside the MCR, it can be stopped by operator actions for closing the CSS manual valves or motor operated valve or stopping the operation of CSS pump. The quantification result of a fire PSA model that takes into account all recovery actions for the RWT drain down event lead to risk reduction by about 95%, compared with quantification result of fire PSA model without considering them. Among the various operator actions, the recovery action for the spurious CSAS operations and the operator action for the manual valve are identified as the most important operator actions. This study quantitatively showed the extent to which the operator actions used as MSO countermeasures have affected the fire PSA quantification results. In addition, we can see the rank of importance among the operator recovery actions in quantitative terms.

• Journal of the Chungcheong Mathematical Society
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• v.10 no.1
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• pp.161-175
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• 1997

We classify free actions of finite abelian groups on the 3-dimensional nilmanifold, up to topological conjugacy. By the works of Bieberbach and Waldhausen, this classification problem is reduced to classifying all normal subgroups of almost Bieberbach groups of finite index, up to affine conjugacy.

• Journal of the Chungcheong Mathematical Society
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• v.18 no.2
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• pp.223-232
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• 2005

We study only free actions of finite groups G on the 3-dimensional nilmanifold, up to topological conjugacy which yields an infra-nilmanifold of type 2.

• Journal of Information Processing Systems
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• v.9 no.2
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• pp.259-270
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• 2013

A speaker's intentions can be represented by domain actions (domain-independent speech act and domain-dependent concept sequence pairs). Therefore, it is essential that domain actions be determined when implementing dialogue systems because a dialogue system should determine users' intentions from their utterances and should create counterpart intentions to the users' intentions. In this paper, a neural network model is proposed for classifying a user's domain actions and planning a system's domain actions. An integrated neural network model is proposed for simultaneously determining user and system domain actions using the same framework. The proposed model performed better than previous non-integrated models in an experiment using a goal-oriented dialogue corpus. This result shows that the proposed integration method contributes to improving domain action determination performance.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.1286-1290
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• 2004

This paper proposes a Distributed Autonomous Robotic System (DARS) based on an Artificial Immune Network (AIN) and a Classifier System (CS). The behaviors of robots in the system are divided into global behaviors and local behaviors. The global behaviors are actions to search tasks in environment. These actions are composed of two types: aggregation and dispersion. AIN decides one between these two actions, which robot should select and act on in the global. The local behaviors are actions to execute searched tasks. The robots learn the cooperative actions in these behaviors by the CS in the local. The relation between global and local increases the performance of system. Also, the proposed system is more adaptive than the existing system at the viewpoint that the robots learn and adapt the changing of tasks.

• International Journal of Control, Automation, and Systems
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• v.3 no.spc2
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• pp.334-340
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• 2005

Based on the stability margin provided by the EEAC, the unstable contingencies can be classified into sets according to their unstable modes. This two-part paper develops a globally optimal algorithm for transient stability control to coordinate preventive actions and emergency actions. In the first part, an algorithm is proposed for a set of contingencies having identical unstable modes. Instead of iterations between discrete emergency actions and continuous preventive actions, the algorithm straightforwardly searches for a globally optimal solution. The procedure includes assessing a set of insufficient emergency schemes identified by the EEAC; calculating the related preventive actions needed for stabilizing the system; and selecting the scheme with the minimum overall costs. Simulations on a Chinese power system highlight its excellent performance. The positive results obtained are explained by analogizing settlements for 0-1 knapsack problems using the multi-points greedy algorithm.