• 대한안전경영과학회지
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• 제17권4호
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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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• 제38권1호
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• pp.169-185
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• 2018

당뇨병 노인환자의 자기관리 교육은 대상자의 건강행위를 변화시켜야 하는 목표를 성취해야하므로 노인의 자기관리 역량 강화에 중점을 두고, 노인 대상자의 특성과 개별적인 상황 및 조건을 반영해야 한다. 그러나 이러한 노인 특화 프로그램은 매우 제한적이고, 대상자 중심의 효과가 평가된 경우도 드물다. 이에 본 연구는 노인복지관을 이용하는 지역사회 거주 당뇨병 노인 맞춤형 당뇨자기관리 프로그램을 실행연구 방법으로 적용하고, 그 효과를 평가하기 위해 시행되었다. 본 연구는 실행연구방법의 계획, 실행, 평가, 성찰단계를 각 회기마다 시행하여 이전 회기의 결과가 다음회기의 중재계획의 변화에 근거가 되는 체계적인 순환과정을 3회기에 걸쳐 순차적으로 적용하였다. 일개의 지역사회 복지관에서 15개월에 걸쳐 12주의 소규모 노인 당뇨병 교육 프로그램을 제공한 후 양적, 질적 자료를 모두 사용하여 참여대상자 측면의 평가가 충분히 포함되도록 하였다. 총 46명중 43명(93.48%)이 프로그램을 이수하였다. 양적인 프로그램의 효과결과에서는 당화혈색소(p<.001), 공복혈당(p<.001), 신체질량지수(p=.016), 허리둘레(p=.001), 수축기혈압(p=.036), 당뇨병 자기관리 행위(p<.001), 노인 건강행위지식(p=.008)이 통계적으로 유의하게 향상되었다. 질적 평가 자료에서는 본 프로그램은 개별적인 맞춤 관리로 느껴지며 이를 통해 역량 강화하게 되었고, 상호작용을 통한 능동적인 참여를 통해 자신의 자기관리 이행에 자신감과 실천의 즐거움을 느꼈다고 하였다. 본 연구는 실행연구방법을 적용하여 지역사회 노인을 대상으로 당뇨병 교육 프로그램을 적용한 결과로 대상자의 신체적 지표와 행위지표, 유용성 등의 양적인 효과뿐만 아니라 대상자 측면에서의 주관적인 효과성을 확인 한 것은 효율성과 실현 가능성을 살펴보는 의미 있는 시도였다. 따라서 이러한 실행연구 방법을 통한 프로그램의 적용과정과 평가는 현장 실무자에게 대상자의 요구 중심의 맞춤형 중재 프로그램 시행의 가이드가 될 것이다.

• 한국컴퓨터산업학회논문지
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• 제3권9호
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• pp.1189-1198
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• 2002

최근 분산시스템 환경에서 다양한 사용자의 요구에 부응하고 통신망의 효과적인 관리를 위해서는 네트워크 자원의 관리에 대한 정책기반 통신망관리시스템이 요구된다. 본 논문에서는 다양한 통신망의 효율적인 관리와 일관된 관리정책을 적용하기 위해 ECA(Event-Condition-Action) 규칙을 갖는 능동특성의 정책기반 관리객체정보를 모델링하였다. 본 논문에 기술된 정책에는 하나의 외부요인이 발생하였을 때 외부요인이 수행되기 위한 하나이상의 조건과 그 조건이 만족된 경우 수행되는 행위들로 구성된 규칙들을 기술한다. 그리고 실질적인 환경에서 적용되고 있는 ATM 관리객체 중 폭주제어 모델에 정책의 구성요소를 적용함으로써 관리객체의 동적 수행 기능이 체계적이고 정형적으로 기술되는 장점을 제시하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권7호
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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.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2010년도 추계학술대회
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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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• 제40권10호
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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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• 제24권4호
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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.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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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.

• 한국콘텐츠학회논문지
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• 제15권11호
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• pp.658-671
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• 2015

본 연구는 블렌디드 액션러닝프로그램이 대학생의 자기주도적 학습능력 향상에 미치는 영향을 탐색하였다. 이를 위해 수도권 D 대학의 사범대학 학생들을 대상으로 실험집단 30명, 통제집단 30명을 구성하여 연구를 수행하였다. 연구대상의 평균연령은 22.3세이며, 2-4학년 재학생으로 인구통계학적 배경은 비교적 동질적이다. 교육사회학(교직과목) 수업에서 실험을 수행하였다. 연구는 학기 초에 자기주도적 학습 능력을 사전 검사하였다. 이후에 실험집단은 블렌디드 액션러닝프로그램으로 수업을 진행하였고, 통제집단은 액션러닝프로그램으로 수업을 진행하였다. 학기가 종료되는 시기에 사후 검사를 실시하였다. 자료 분석은 사전 검사 점수를 고려하여 집단 간 사후 검사 점수를 비교하기 위해 공분산분석(ANCOVA)을 수행하였다. 그 결과 첫째, 대학생들의 자기주도적 학습능력 향상을 위해서는 액션러닝프로그램 보다 블렌디드 액션러닝프로그램이 효과적인 것으로 나타났다. 둘째, 인지적, 경험적 수준이 낮은 학습자 대상의 수업에서는 액션러닝프로그램 보다 블렌디드 액션러닝프로그램이 더욱 효과적인 것으로 나타났다. 셋째, 학습자원 관리와 학습전략 활용 측면에서는 액션러닝프로그램과 블렌디드 액션러닝프로그램 공히 영향을 미치지 못하는 것으로 나타났다. 이상의 내용을 종합해볼 때 대학생의 자기주도적 학습능력을 향상하기 위해서는 다양한 교수방법 중 전통적 집단강의보다 학습자들의 참여 및 실천학습 방법인 액션러닝프로그램이 효과적인 교수방법이지만, 대학생들의 지적, 경험적 측면의 초보적 수준을 고려할 때 블렌디드 액션러닝프로그램의 적극적 활용이 요구된다.

• 가정과삶의질연구
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• 제29권6호
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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.