• Journal of Environmental Impact Assessment
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• 제12권2호
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• pp.87-98
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• 2003

The main purpose of this study is to propose the integrated assessment model for the rational and effective selection of proposed sites in National Trust (NT) and conserve the ruined natural environment by excessive land development. The results of this study are as follows; 1) The specialists thought that rare and endangered species were very important in plant and animal, in case of landscape and environment, naturality and water quality were too important. 2) In the result of the correlation measure on the indicator of assessment, 'erosion of soil'and 'air pollutant'was highly correlative. Secondly, 'suspended solids' and 'erosion of soil'was high correlation. 3) In the result of forming the factors into the integrated indicators, they were classified into conditional, stable, valuable and potential factors and the purpose of this formation is to evaluate proposed sites in NT objectively and rationally with organic assessment. 4) In the integrated assessment model, the degree of explanation was observed approximately 36.4% and the important factor was the conditional factor, but we have to consider all factors for the effective and objective assessment. Therefore we organically have to apply and use them for the assessment of proposed sites in NT. It turns out to offer raw data on the land conservation and carry out the role of the instrument of measurement. As for future directions, the follow are proposed: 1) adaptation of real proposed site, 2) verification of effect and problem, 3) practical survey for diverse types as mountain, coast and inland.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• 제39권4호
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• pp.306-313
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• 2011

The damage tolerance analysis is required to guarantee the structural safety and the reliability for aircraft components. The damage tolerance method, which evaluate the life considering the initial crack, considers a fatigue design model of the aircraft main structure. The fatigue crack growth life should be calculated in damage tolerance analysis and the inspection time to define the replacement cycle. In this paper, the damage tolerance analysis is performed for a turbine wheel which has complex geometry. The equation of the stress intensity factor for complex geometry is hard to know, so that they are usually processed by finite element analysis which takes long time. To solve this problem, the stress intensity factors at specified crack are obtained by the FEA and the crack growth life is evaluated using the surrogate model which is generated by the regression analysis of the FEA data. From the results, the efficiency of the crack growth life calculation and the damage tolerance analysis could be increased by taking the surrogate model.

• The Journal of Korean Academic Society of Nursing Education
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• 제21권1호
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• pp.5-15
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• 2015

Purpose: This study, on the basis of a structural model that includes nurse image, image determinants, and self-esteem of Cambodian nursing students influenced by the Korean nursing education system, demonstrates distinctions between senior and junior according to experience in clinical practice. Methods: Data were collected via a questionnaire from 194 nursing students in Cambodia and subsequently analyzed using the STATA IC 12 program. Results: First, image determinants and their sub-factors-subjective, institutional, and media-effect both the nurse image and self-esteem of nursing students. Second, the study confirms that nurse image has no significant effect on self-esteem. Also, the individual factor, a sub-factor of nurse image, possesses a weak relationship with nurse image. Third, the structural model mediating between senior and junior reveals differences resulting from experiences derived from clinical practice. Conclusion: The study has significance in that Cambodian nursing students, who are rarely studied in terms of nurse image, have been systemically analyzed via a structural model incorporating image determinants and self-esteem.

• The Journal of Society for e-Business Studies
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• 제13권2호
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• pp.117-147
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• 2008

Developing various ubiquitous computing services (U-services) is being propelled throughout the industry. As U-services are being penetrated into our daily life, research on the factors influencing the acceptance of U-services is highly needed. In this line of study, we examined previous literatures about information technology acceptance and UTAUT model, and applied UTAUT model to U-service acceptance. To characterize the U-services into our research model, we newly introduced 'context based personalization' factor. Since the respondents could not directly experience the U-services yet, we adopted scenario-based questionnaire. For this, we deliberately developed U-service scenario. And then this U-service scenario is verified using capability-based assessment method. Using data collected from 251 respondents, this study found that 'context based personalization' factor was positively and significantly related to the acceptance of U-service as well as UTAUT model's 4 factors such as performance expectancy, effort expectancy, social influence and facilitating conditions.

• The Journal of Society for e-Business Studies
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• 제16권4호
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• pp.335-357
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• 2011

In this paper, we report the empirical study results theorizing IPTV user's loyalty formation process. Considering the convergent characteristics ofinnovative media and telecommunication, we employed innovation adoption and diffusion as our theoretical framework for research model development. As the purpose of this research includes verification of detail attributes of IPTV service, we formulated structural model which treats relative advantage as the second order factor, of which incorporates the seven detail attributes as the first order factors. Then, using the data collected from 250 Korean IPTV subscribers, the model is validated and relevant attributes are identified through PLS analysis. The results provide insights for future research on the adoption and diffusion of new digital convergent high-tech services.

• The Transactions of the Korea Information Processing Society
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• 제3권6호
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• pp.1646-1657
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• 1996

This paper presents a color transformation method based on a uniform color image model. Firstly, color variation factors are grouped into identical (multiplicative) factor and independent(additive) one for the color model, and they are modelled by the Gaussian function. The shape of a color cluster in (R, G, B) feature space is an ellipsoid whose elongated major axis correspond to the direction of mean vector. Secondly, the transformation of a color cluster using the model is studied. A transformation method for three dimensional coordinated is described. The proposed method is applied to artificial and natural color images. By the result of experiments, the elongated major axis of each cluster making up the transformed color image aggress with the direction of its mean vector.

• Convergence Security Journal
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• 제13권1호
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• pp.71-78
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• 2013

In this study, software products developed in the course of testing, software managers in the process of testing software test and test tools for effective learning effects perspective has been studied using the NHPP software. The doubly bounded power law distribution model makeup Weibull distribution applied to distribution was based on finite failure NHPP. Software error detection techniques known in advance, but influencing factors for considering the errors found automatically and learning factors, by prior experience, to find precisely the error factor setting up the testing manager are presented comparing the problem. As a result, the learning factor is greater than automatic error that is generally efficient model could be confirmed. This paper, a numerical example of applying using time between failures and parameter estimation using maximum likelihood estimation method, after the efficiency of the data through trend analysis model selection were efficient using the mean square error and $R^2$.

• Journal of Digital Convergence
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• 제18권10호
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• pp.517-526
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• 2020

This study aimed to understand the effects on preventive behavior intention to particulate matter by risk perception attitude and anxiety. Also, to expand applicable target and range of RPA model, add anxiety. To measure main variables of RPA model, did a survey with 570 college students. With a data, analyzed by correlation, one-way ANOVA and three-way ANOVA. As a result, perceived risk and efficacy effect on intention to preventive action and information seeking. And an anxiety factor effects on intention to preventive action and information seeking also. And distinguished 4 groups of RPA model, there were meaningful differences between intention to preventive action and information seeking by groups, and a factor of anxiety effects certain groups. As a result, it can suggest how to plan and enforce message on preventive campaign of particulate matter. In follow research, with social psychological factors, it will helpful to identify health activities about particulate matters.

• Journal of the Korea Society for Simulation
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• 제20권3호
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• pp.59-67
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• 2011

This paper proposes a model to analyze the fault factors of air-to-ground weapon delivery utilizing software fault localization methods. In the previous study, to figure out the factors to affect the accuracy of air-to-ground weapon delivery, the FBEL (Factor-based Error Localization) method had been proposed and the fault factors were analyzed based on the method. But in the study, the correlation between weapon delivery accuracy and the fault factors could not be revealed because the firing accuracy among several factors was fixed. In this paper we propose a more precise fault analysis model driven through a study of the correlation among the fault factors of weapon delivery, and a method to estimate the possibility of faults with the limited number of test cases utilizing the model. The effectiveness of proposed method is verified through the simulation utilizing real delivery data. and weapons delivery testing in the evaluation of which element affecting the accuracy of analysis that was available to be used successfully.

• Convergence Security Journal
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• 제11권1호
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• pp.25-32
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• 2011

In this study, software products developed in the course of testing, software managers in the process of testing software test and test tools for effective learning effects perspective has been studied using the NHPP software. The Weibull distribution applied to distribution was based on finite failure NHPP. Software error detection techniques known in advance, but influencing factors for considering the errors found automatically and learning factors, by prior experience, to find precisely the error factor setting up the testing manager are presented comparing the problem. As a result, the learning factor is greater than automatic error that is generally efficient model could be confirmed. This paper, a numerical example of applying using time between failures and parameter estimation using maximum likelihood estimation method, after the efficiency of the data through trend analysis model selection were efficient using the mean square error and $R_{sq}$.