• Journal of the Korea Safety Management & Science
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• v.17 no.4
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• pp.57-66
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• 2015

This paper reviewed the effect of job burnout on safety outcomes, and the moderating effect of safety climate in Korean Air Force. The prevalence of burnout in air force pilots has not been determined and reviewed. It is also unknown whether pilots' burnout may affect their safety outcomes(safety action & compliance). The primary objective of this study was to determine the prevalence of burnout and it's effect on safety outcomes. For cross-sectional survey, 910 questionnaires were sent to pilots in air force, and 722 questionnaires among them were returned effectively. The questionnaire was divided into 4 parts examining pilots' demographic factors, job burnout, safety outcomes, and safety climates. To test and review proposed hypotheses, hierarchical multiple regression analysis was used. The results of statistical analysis appeared as follow; 1) EE(emotional exhaustion) and RPA(reduced personal accomplishment) effected negatively on safety action. 2) EE and RPA effected negatively on safety compliance. 3) EE effected more positively on safety action in higher SS(superior support) group than in lower SS group. 4) RPA effected more positively on safety compliance in higher SS(superior support) group than in lower SS group. 5) RPA effected more positively on safety action in higher CW(coworker support) group than in lower CW group.

• 한국노년학
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• v.38 no.1
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• pp.169-185
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• 2018

The purpose of this study examined the feasibility and efficacy of a senior center-based diabetes self-management program applying action research approach. The cyclical action research method was applied for this study: plan, act, evaluate, and reflect in delivering three waves of the intervention program. Three waves of a 12 weeks-length small group diabetes self-management program were offered during the period of 15 months in a senior center in Seoul. Planning of $2^{nd}$ and $3^{rd}$ wave program were based on reflection of $1^{st}$ and $2^{nd}$ program evaluation respectively. Among the 46 participants, 93.48% (N=43) completed the program. The quantitative evaluation showed statistically significant improvement in HbA1C(p<.001), fasting plasma glucose(p<.001), BMI(p=.016), waist circumference(p=.001), systolic blood pressure(p=.036), diabetes self-management behavior(p<.001) and health knowledge(p=.008). Qualitative data revealed that individual management was very helpful in empowering and adhering for own diabetes care for the participants. Participants reported high satisfaction towards the program with mean satisfaction score of 65.12. Application of the Diabetes Self-management program with action study strategy was successful in community setting for improving participants' subjective and objective outcomes. Action research method guides the practitioner to tailor the program to respond for the participants and field needs.

• Journal of the Korea Computer Industry Society
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• v.3 no.9
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• pp.1189-1198
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• 2002

Policy base management system that can satisfy various user's request in distributed system environment recently and manage network resources efficiently is required. Described policy base management information consisted of ECA(Event-Condition-Action) rules so that efficient management of various communication network and consistent management policy may be available in this paper. Policy is consisted of Event, Condition and Actions to achieve when condition is satisfied. And we can present formality of dynamic function of management object as applying policy to ATM congestion control model been applying in real environment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.7
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• pp.1894-1915
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• 2023

Software-Defined Networking (SDN) offers several advantages in dynamic routing, flexible programmable control and custom application-driven network management. However, the programmability of the data plane in traditional SDN is limited. A network operator cannot change the ability of the data plane and perform complex packet processing on the data plane, which limits the flexibility and extendibility of SDN. In the paper, AP-SDN (Action Program enabled Software-Defined Networking) architecture is proposed, which extends the action set of SDN data plane. In the proposed architecture, a modified Open vSwitch is utilized in the data plane allowing the execution of action programs at runtime, thus enabling complex packet processing. An example action program is also implemented which transparently encrypts traffic for terminals. At last, a prototype system of AP-SDN is developed and experiments show its effectiveness and performance.

• Proceedings of the Safety Management and Science Conference
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• 2010.11a
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• pp.199-207
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• 2010

Decision analysis has becomes an important technique for decision making in the face of uncertainty. It is characterized by enumerating all the available courses of action, identifying the payoffs for all possible outcomes, and quantifying the subjective probabilities for the all possible random events. When the data are available, decision analysis becomes a powerful tool for determining an optimal course of action. In this paper, we use the analytic hierarchy process in weights calculating. For the purpose of making optimal decision, the data of three different smart phones models are used.

• Journal of Advanced Marine Engineering and Technology
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• v.40 no.10
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• pp.922-928
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• 2016

Bearing in mind that global climate change is a rising issue, the coastal community of Prek Thnaot, Cambodia has been put on severe effects about natural disasters caused from poor infrastructure and agriculture dependence. This paper proposes to provide and guide a strategic action for the sustainable development path of coastal community in a more continuous manner including a robust resilience to impacts of climate change, natural disasters, and other risks. In doing so, this paper will help environmentally sound management and coastal resources sustainability being sound for socially and economically inclusive development. Proposed fourteen strategic actions for the research should be accompanying with the participation of and cooperation from the local coastal community. Based on the proposed strategic actions, it is critical that the local authorities and other key stakeholders need to accomplish. Providing a good insight for the central government, the strategic action is expected to integrate and prepare a management strategy plan for the local coastal community level. Therefore, this information can be applied to other coastal areas to promote and ensure sustainable protection and management of coastal resources.

• Asia pacific journal of information systems
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• v.24 no.4
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• pp.417-441
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• 2014

Organizations need to exhibit characteristics of agility to stay ahead of their competitors and to survive in dynamic environments. One major concern for organizations is how to implement Information Systems (ISs) to enhance their agility. Organizations tend to spend too many resources to change their entire IS instead of only the components that cause problems without exactly knowing whether it enables or suppress organizational agility. To address these shortcomings and practical issues, we provide a framework to assess organizational agility and to diagnose a problem related to IS. By applying this prototype of the Agility Framework, we were able to diagnose a problem that the department of Management Control and Information Systems at the Universidad de Chile had and planned actions for them to improve its organizational agility with a course scheduling system, eClasSkeduler. This action research, which took more than 25-month for the first cycle, further develops the Agility Framework, which not only provides a way to link IS with organizational functions but also illustrates how to use it to diagnose a situation and plan actions for improving organizational agility through an information system.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.426-432
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• 2022

HVAC systems play a critical role in reducing energy consumption in buildings. Integrating occupants' thermal comfort evaluation into HVAC control strategies is believed to reduce building energy consumption while minimizing their thermal discomfort. Advanced technologies, such as visual sensors and deep learning, enable the recognition of occupants' discomfort-related actions, thus making it possible to estimate their thermal discomfort. Unfortunately, it remains unclear how accurate a deep learning-based classifier is to recognize occupants' discomfort-related actions in a working environment. Therefore, this research evaluates the classification performance of occupants' discomfort-related actions while sitting at a computer desk. To achieve this objective, this study collected RGB video data on nine college students' cold discomfort-related actions and then trained a deep learning-based classifier using the collected data. The classification results are threefold. First, the trained classifier has an average accuracy of 93.9% for classifying six cold discomfort-related actions. Second, each discomfort-related action is recognized with more than 85% accuracy. Third, classification errors are mostly observed among similar discomfort-related actions. These results indicate that using human action data will enable facility managers to estimate occupants' thermal discomfort and, in turn, adjust the operational settings of HVAC systems to improve the energy efficiency of buildings in conjunction with their thermal comfort levels.

• The Journal of the Korea Contents Association
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• v.15 no.11
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• pp.658-671
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• 2015

The present study explores the effect of blended action learning program on the improvement of the self-directed learning skills of university students. For this, students in the college of education at D University located in the capital area were selected to form 30 students of the experimental group and 30 of the control group. The average age of the subjects is 22.3. They are students in the $2^{nd}$ to $4^{th}$ year of university and the demographic background is relatively homogeneous. The experiment was conducted in the Sociology of Education class (a teacher training course). The self-directed learning skills were pre-tested at the beginning of the term. After that, the experimental group had the class with blended action learning program, and the control group had the class with action learning program. The post-test was carried out at the end of the term. For data analysis, ANCOVA was carried out to compare the scores on post-test of the two groups in consideration of the scores on the pre-test. The results show that first, for the improvement of self-directed learning skills of university students, blended action learning program is more effective than action learning program. Second, in the class for learners with lower degree of cognition and experience, blended action learning program was more effective than action learning program. Third, in terms of management of learning resources and utilization of learning strategies, both action learning program and blended action learning program were not effective. In summary, for improvement of the self-directed learning skills of university students, action learning program, which is a learning method focused on learner's participation and practice, is more effective than the traditional collective lecture among diverse teaching methods. Yet in consideration of the elementary level of university students in terms of intelligence and experience, active use of blended action learning program is required.

• Journal of Families and Better Life
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• v.29 no.6
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• pp.9-25
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• 2011

This study was performed to explore the factors that affect debt-use intention of young defaulters. In addition, this study compares three models that predict the intention to use debt by young defaulters: the theory of reasoned action and two variations of it. Specifically, this study proposes an extended theory of reasoned action by introducing Ao in place of the cognitive structure in the theory of reasoned action. In addition, this study proposes Ao as an independent variable that acts on BI rather than a dependent variable. Self-administered questionnaires were completed by 196 young defaulters attending a credit management education session held by the Credit Counseling & Recovery Service in Kwang-ju, Korea. Based on the study, the conclusions are as follows: the extended theory of reasoned action as proposed in this article most suitably explained the intention to use debt by young defaulters. It was also found that young defaulters were affected by attitudes toward debt, attitudes toward using debt, and subjective norms. It is therefore suggested that an attitudinal message would change the behavior effectively for young defaulters. The findings appeared to support the usefulness of the extended theory of reasoned action and the role of Ao as an independent variable as proposed in this article to explain the intention to use debt by young defaulters. These findings have an important theoretical meaning in that they modify two existing attitude theories in the context of consumer behavior.