• Research in Community and Public Health Nursing
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• v.15 no.1
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• pp.102-109
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• 2004

Purpose: The purpose of this study was to confirm a structural model for health promotion for industrial workers. Methods: Data was collected by questionnaires from 294 industrial workers at a food manufacturing factory. The data collected were analyzed through SAS 8.1 and Window LISREL 8.12a. Results: 1. The result of the test showed that the measurement of fitness was $x^2$=(삭제) 443.35, $x^2$/df 5.3415, GFI .86, AGFI .75, RMR .060, NFI .95, NNFI .93, CN 77.58, and those other than NFI and NNFI did not well fit into the practical data. 2. 15 out of 29 paths in a constructed model were statistically significant. 3. The measurements for total fitness in the modified model were $x^2$= (삭제) 146.51, $x^2$/df 1.8546, GFI .95, AGFI .91, RMR .042, NFI .98, NNFI .99, CN 223.44, all of which showed fitness in good shape to the practical data. 4. The result of the study for the modified model indicated that perceived self efficacy had the most significant direct effect on health promotion behaviors, and self esteem, perceived benefits of action, interpersonal influences, commitment to a plan of action were important factors having influences on them. Conclusion: The derived model in this study is considered appropriate in explaining and predicting health promoting behavior of industrial workers. Therefore, it can effectively be used as a reference model for further studies and suggested implication in nursing practice.

• Journal of the Korea Convergence Society
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• v.10 no.2
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• pp.217-225
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• 2019

The Latent Growth Modeling(LGM) is known as the typical analysis method of longitudinal data and it could be classified into unconditional model and conditional model. It is common to assume that the growth trajectory of unconditional model of LGM is linear. In the case of quasi-linear, the methodology for improving the model fitness using Sequential Pattern of Association Rule Mining is suggested. To do this, we divide longitudinal data into quintiles and extract periodic changes of the longitudinal data in each quintiles and make sequential pattern based on this periodic changes. To evaluate the effectiveness, the LGM module in SPSS AMOS was used and the dataset of the Youth Panel from 2001 to 2006 of Korea Employment Information Service. Our methodology was able to increase the fitness of the model compared to the simple linear growth trajectory.

• Asia pacific journal of information systems
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• v.19 no.2
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• pp.73-94
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• 2009

The general aspects for the future warfare shows that the concept of firepower and maneuver centric warfare has been replacing with that of information and knowledge centric warfare. Thus, some developed countries are now trying to establish the information systems to perform intelligent warfare and innovate defense operations. The C4I(Command, Control, Communication, Computers and Intelligence for the Warrior) systems make it possible to do modern and systematic war operations. The basic idea of this study is to investigate how TAM(Technology Acceptance Model) can explain the acceptance behavior in military organizations. Because TAM is inadequate in explaining the acceptance processes forcomplex technologies and strict organizations, a revised research model based upon TAM was developed in order to assess the usage of the C4I system. The purpose of this study is to investigate factors affecting the usage of C4I in the Korean Army. The research model, based upon TAM, was extended through a belief construct such as self-efficacy as one of mediating variables. The self-efficacy has been used as a mediating variable for technology acceptance, and the variable was included in the research model. The external variables were selected on the basis of previous research. The external variables can be classified into following: 1) technological, 2) organizational, and 3) environmental factors on the basis of TOE(Technology-Organization-Environment) framework. The technological factor includes the information quality and the task-technology fitness. The organizational factor includes the influence of senior colleagues. The environmental factor includes the education/train data. The external variables are considered very important for explaining the behavior patterns of information technology or systems. A structured questionnaire was developed and administrated to those who were using the C4I system. Total 329 data were used for statistical data analyses. A confirmatory factor analysis and structured equation model were used as main statistical methods. Model fitness Indexes for measurement and structured models were verified before all 18 hypotheses were tested. This study shows that the perceived usefulness and the self-efficacy played their roles more than the perceived ease of use did in TAM. In military organizations, the perceived usefulness showed its mediating effects between external variables and dependent variable, but the perceived ease of use did not. These results imply that the perceived usefulness can explain the acceptance processes better than the perceived ease of use in the army. The self-efficacy was also used as one of the three mediating variables, and showed its mediating effects in explaining the acceptance processes. Such results also show that the self-efficacy can be selected as one possible belief construct in TAM. The perceived usefulness was influenced by such factors as senior colleagues, the information quality, and the task-technology fitness. The self-efficacy was affected by education/train and task-technology fitness. The actual usage of C4I was influenced not by the perceived ease of use but by the perceived usefulness and selfefficacy. This study suggests the followings: (1) An extended TAM can be applied to such strict organizations as the army; (2) Three mediation variables are included in the research model and tested at real situations; and (3) Several other implications are discussed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.2
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• pp.302-310
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• 2018

This study was conducted to develop a unified structural model that defines relationships among factors that affect Multi Cultural Acceptance (MCA) for adolescents. This study was performed using the dataset from the 2016 Korean Children and Youth Panel Survey (KCPS). We analyzed the survey result from the dataset at the 0.05 significance level using the SPSS and AMOS version 22 programs. Specifically, we investigated several demographic characteristics of the survey participants by a descriptive analysis method that adopted the maximum likelihood estimate method to verify the fitness of the hypothetical model and the hypotheses therein. In addition, we applied the ${\chi}^2$-test, GFI, AGFI, CFI, IFI, and RMSEA to show the fitness level of our structural model. The results showed that our proposed structural model demonstrated a fine fitness level. We found that key factors that affect MCA for adolescents were ego-resilience, peer relationships, and sense of community. Overall, the results of our study indicate that combinational intervention is needed to help adolescents lift their ego-resilience, as well as to develop peer relationships and a sense of community.

• Journal of Welding and Joining
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• v.24 no.5
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• pp.67-73
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• 2006

Laser welding is suitable for welding to the aluminum alloy sheet. In order to apply the aluminum laser welding to production line, parameters should be optimized. In this study, the optimal welding condition was searched through the genetic algorithm in laser welding of AA5182 sheet with AA5356 filler wire. Second-order polynomial regression model to estimate the tensile strength model was developed using the laser power, welding speed and wire feed rate. Fitness function for showing the performance index was defined using the tensile strength, wire feed rate and welding speed which represent the weldability, product cost and productivity, respectively. The genetic algorithm searched the optimal welding condition that the wire feed rate was 2.7 m/min, the laser power was 4 kW and the welding speed was 7.95 m/min. At this welding condition, fitness function value was 137.1 and the estimated tensile strength was 282.2 $N/mm^2$.

• Journal of Korean Society of Water and Wastewater
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• v.26 no.6
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• pp.861-869
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• 2012

The chlorine's residual concentration prevents the regrowth of microorganism in water transport along the pipeline system. Precise prediction of chlorine concentration is important in determining disinfectant injection for the water distribution system. In this study, a pilot scale water distribution system was designed and fabricated to measure the temporal variation of chlorine concentration for three flow conditions (V = 0.88, 1.33, 1.95 m/s). Various kinetic models were applied to identify the relationship between hydraulic condition and chlorine decay. Genetic Algorithm (GA) was integrated into five kinetic models and time series of chlorine were used to calibrate parameters. Model fitness was compared by Root Mean Square Error (RMSE) between measurement and prediction. Limited first order model and Parallel first order showed good fitness for prediction of chlorine concentration.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1997.11a
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• pp.77-80
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• 1997

In this paper, we propose a new fitnesness function of GA for slowly time-varying plant. Previous Takgi-Sugeno model based controller is used as basic control scheme and Controller parameters are tuned by GA with the proposed fitness function includes the information of model parameter variation and has better performance robustness than the previous ones. We illustrate the effectiveness of the proposed fitness function by simple simulation example.

• Journal of the Korea Society of Computer and Information
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• v.20 no.11
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• pp.169-174
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• 2015

The study is to clarify the relationship among the positive and negative recognition of stress and physical and psychological abuse and neglect aiming at getting the material. They are to prevent elder abuse at the main care worker for frail and dementia elderly. The degree of fitness to the data where positive and negative recognition of main care worker was located as dependent variable. The casual model in which main care worker was located as independent variable. The degree of fitness of casual model was GFI=0.772, CFI=0.795, RESEA=0.067. Among path coefficient included in the previous model, three of figures going toward three of abuse to the elder were statistically significant.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2011.05a
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• pp.171-172
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• 2011

Formwork accounts for a large proportion of the framework in high-rise construction projects in terms of the duration and cost. Especially, slab formwork has a significant influence on these factors. However, the current selection of formwork method in general contractors depends on the decisions of few experienced engineers, and layout planning of the formwork in specialty contractors requires lots of time by different floor types. As a preliminary study for developing an optimum layout model in slab formwork of high-rise building construction, this study proposes the process of the optimum layout model and determines a fitness function for use of the genetic algorithm aimed at table formwork.

• Korean Journal of Social Welfare
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• v.27
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• pp.225-251
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• 1995