• 대한간호학회지
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• 제43권1호
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• pp.20-29
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• 2013

Purpose: The purpose of this study was to propose and test a predictive model that could explain and predict nursing productivity. Methods: A survey using a structured questionnaire was conducted with 360 nurses in Korea. The data were analyzed using SPSS Windows 18.0 and AMOS 19.0 program. Results: Based on the constructed model, burnout and organizational commitment were found to have direct effects on nurses' turnover intention and nursing productivity. While nursing work environment was found to have indirect effects on nurses' turnover intention and nursing productivity. Conclusion: This structural equational model is a comprehensive theoretical model that explains the related factors and their relationship with nursing productivity. Comprehensive organizational interventions to improve nursing productivity should focus on improving the nursing work environment. Findings from this study can be used to design appropriate strategies to decrease nurse turnover in Korea. Further studies are needed to prospectively verify these causal relationships with larger samples.

• 조명전기설비학회논문지
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• 제25권7호
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• pp.63-71
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• 2011

Due to the rapid development of digital technnology and informantion communication, in the IEC 61850 based substation automation system, the innovative paradigm shift is expected and also required in many substation-related jobs, especially in the device function test area Accordingly a common testing model which can simplify the complex contents of the SAS performance test performed by test engineers has been identified, that can overcome limitations of engineers' own testing knowledge and experience. Testing models and its design system for the comprehensive performance test of the Substation Automation System is developed and the result of the study is reported in this paper.

• 한국주거학회논문집
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• 제26권5호
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• pp.133-141
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• 2015

As an empirical study on Daegu Downtown showing decentralization phenomenon, the purpose of this study is, based on the residential satisfaction research targeting the Downtown residents, to analyze the residential environment satisfaction and residential preference. Considering the parameters of measurement, we used the Ordered Logit Model and Logistic Regression. The results are as follows: First, the comprehensive residential environment satisfaction is relatively lower than that in 2008 and the residential preference in Downtown is similar to that of the past. Second, among the 7 factors that constitute the Downtown residential environment, the house, the landscape, and the security have a relatively large influence on the comprehensive residential environment satisfaction. Third, the residential environment factors which affect those who are hoping continuous Downtown residence are the safety, the house and the complex.

• 통상정보연구
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• 제10권2호
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• pp.455-471
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• 2008

The current research utilized as its target population who are current employees of innovative manufacturing enterprise medium to large-sized companies in Korea. The research validated the innovative dimensions by studying the two constructs within the context of the innovative manufacturing enterprise user population. Correlation was found between innovative dimensions retained as components of a Comprehensive Model. It was determined that these four dimensions-Content, Intrinsic Interest, Control, and Timeliness-are significant predictors of user success. The Comprehensive Model was validated, and it is therefore suggested as a basis for further study of user success indicators in the innovative manufacturing enterprise environment.

• 통상정보연구
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• 제10권3호
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• pp.59-73
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• 2008

The current research utilized as its target population who are current users of global small to medium sized companies in Korea. The research validated the innovative dimensions by studying the two constructs within the context of the SMB user population. Correlation was found between innovative dimensions retained as components of a Comprehensive Model. It was determined that these four dimensions-Content, Intrinsic Interest, Control, and Timeliness-are significant predictors of user success. The Comprehensive Model was validated, and it is therefore suggested as a basis for further study of user success indicators in the innovative manufacturing enterprise environment.

• 반도체디스플레이기술학회지
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• 제19권3호
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• pp.82-87
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• 2020

The comprehensive and physics-based compact noise models for advanced CMOS devices were presented. The models incorporate important physical effects in nanoscale MOSFETs, such as the low frequency correlation effect between the drain and the gate, the trap-related phenomena, and QM (quantum mechanical) effects in the inversion layer. The drain current noise model was improved by including the tunneling assisted-thermally activated process, the realistic trap distribution, the parasitic resistance, and mobility degradation. The expression of correlation coefficient was analytically described, enabling the overall noise performance to be evaluated. With the consideration of QM effects, the comprehensive low frequency noise performance was simulated over the entire bias range.

• 대한치과의사협회지
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• 제52권8호
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• pp.472-477
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• 2014

The new paradigm of dentistry require the detection of caries in their earlier stages. To achieve this, a high technology detection device and systematic and organized caries management system are needed. Caries management by risk assessment (CAMBRA) model is representative caries management system that satisfied new paradigm. Dental caries prevention and treatment according to CAMBRA model is patient-centered, risk-based, evidence-based practice. Therefore, individual caries management such as CAMBRA should be performed through accurate assessment of caries disease indicators and comprehensive assessment of caries risk factors and protective factors. Based on the CAMBRA better effectiveness of comprehensive dental caries management including non-surgical treatment will be accomplished.

• 품질경영학회지
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• 제39권2호
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• pp.320-328
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• 2011

This research proposes comprehensive models for analyzing common cause failures (CCF) due to cumulative shocks and to assess system reliability under the CCF. The proposed cumulative shock models are based on the binomial failure rate (BFR) model. Six kinds of models are proposed so as to explain diverse cumulative shock phenomena. The models are composed of the initial failure probability, shape parameter, and the total shock number. Some parameters of the proposed models can not be explicitly estimated, so we adopt the Expectation-maximization (EM) algorithm in order to obtain the maximum likelihood estimator (MLE) for the parameters. By estimating the parameters for the cumulative shock models, the system reliability with CCF can be assessed sequentially according to the number of cumulative shocks. The result can be utilizes in dynamic probabilistic safety assessment (PSA), aging studies, or risk management for nuclear power plants. Replacement or maintenance policies can also be developed based on the proposed model.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2003년도 봄 학술발표회 논문집
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• pp.145-152
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• 2003

This paper develops a relatively comprehensive and sophisticated constitutive model of concrete for finite element analysis of concrete structures. The present model accounts for the hydrostatic pressure sensitivity and Lode angle dependence behavior of concrete, not only in its strength criterion, but also in its hardening characteristics. The implementation is carried out through incorporating the developed concrete model in User Subroutine Material(UMAT) of the general-purpose FE program ABAQUS(v.5.8). It is found that the model can sufficiently predict the hardening as well as the softening behaviour of concrete under high confining pressure.

• 대한환경공학회지
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• 제29권3호
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• pp.262-270
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• 2007