• Nuclear Engineering and Technology
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• v.52 no.12
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• pp.2958-2968
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• 2020

Understanding public perception on nuclear research reactor is necessary for the policy maker to adopt such technology in Thailand, especially the locals who live in the proposed location. The study compared perceptions between the locals living near the proposed nuclear research reactor location (within 5 km) and those living in the outer region (5-15 km). Structural equation modeling technique was adopted by assuming casual relationships between latent variables including social status, information perception, trust, benefit perception and risk perception on the local acceptance of research reactor. The results showed that the strongest relationships for both the inner and the outer perimeters were from information perception toward technology acceptance via trust and benefit perception. While both zones showed similar results, the outer perimeter seemed to show slightly stronger effects than those in the inner perimeter.

• The Korean Journal of Emergency Medical Services
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• v.27 no.2
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• pp.65-78
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• 2023

Purpose: This study aimed to examine the mediating effect of self-efficacy between loneliness and life satisfaction among university students during the COVID-19 pandemic. Methods: This study administered a questionnaire survey of 282 college students enrolled in universities located in K area. Structural equation modeling analysis was utilized to examine the relationships of variables. The questionnaire included the life satisfaction, loneliness, and self-efficacy scales. Results: The results showed that loneliness had a negative correlation with life satisfaction and self-efficacy. Self-efficacy had a positive correlation with life satisfaction. The study confirmed that loneliness had a partial mediating effect on life satisfaction through self-efficacy. Conclusion: The study discussed ways of enhancing the life satisfaction of university students, the implications of the study findings, and suggestions for future research.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.11a
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• pp.237-238
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• 2023

Urbanization and the increase in building scale have amplified the complexity of M.E.P design. Traditional design methods face limitations when considering intricate pathways and variables, leading to an emergent need for research in automated design. Initial algorithmic approaches encountered challenges in addressing complex architectural structures and the diversity of M.E.P types. However, with the launch of OpenAI's ChatGPT-3.5 beta version in 2022, new opportunities in the automated design sector were unlocked. ChatGPT, based on the Large Language Model (LLM), has the capability to deeply comprehend the logical structures and meanings within training data. This study analyzed the potential application and latent value of LLMs in M.E.P design. Ultimately, the implementation of LLM in M.E.P design will make genuine automated design feasible, which is anticipated to drive advancements across designs in the construction sector.

• Journal of Korean Home Economics Education Association
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• v.24 no.4
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• pp.105-116
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• 2012

The purpose of this study was to investigate the effects of body appearance satisfaction(BAS) and the self-esteem on the obesity stress(OS). A survey sample drawn from the total of 664 middle school students(324 of females and 340 of males) were analyzed with the suggested conceptual model by employing the latent variables such as BAS and OS. By using the AMOS statistical program, we found that the conceptual model fitted well with the data set and paths in the model significantly predicted the OS. The middle schoolers' BAS had significant direct effects on the OS and self-esteem as well as a indirect effect via self-esteem on the OS. Self-esteem had a significant direct effect on the OS which was larger than the total effects from BAS on OS. Therefore, self-esteem could be buffered the negative influences from the BAS on the OS.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.31-41
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• 2020

This study analyzed parents' school satisfaction longitudinally using data from the 1st, 3rd, and 5th wave data of the Korea Education Longitudinal Study(KELS)2013. The subjects of analysis are parents who responded without dropping out in the first, third and fifth panel of the KELS2013, and 4,227 cases that had no missing values in the variables were selected for the sample to input for analysis of the latent growth modeling(LGM). As a result, it is confirmed that the parents' education, educational support, and children's academic achievement have a positive effect on the parents' school satisfaction. But the parents' educational view and education cost have a negative effect on that. The results of this study are expected to be important information to help enhance the primary function of the school.

• Journal of Family Resource Management and Policy Review
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• v.17 no.4
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• pp.189-213
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• 2013

The purpose of this work is to explore different types of intergenerational relationships in the later lives of old retirees. This will be done according to the eligibility of public pension and the old age social security system so that the factors affecting intergenerational relationships can be analyzed, and to propose a plan to improve social adaptation in later life. The data used in this work are the Fourth basic survey data of the 2011 Korea Retirement and Income Study. The study subjects of this work were 2,435 retirees over age 65 who had children. In this study, latent class analysis and logistic regression analysis were conducted to classify types of intergenerational relationships and to analyze the influence of relevant factors. As a result of the analysis, some of those in the group were eligible for public pension, and the ones who were not were classified into three types: the closely-living-together type, the separate-living-contact type, and the estrangement type. In the group not eligible for public pension, it was found that age, spouse, number of children, economic factors, and level of health satisfaction gave significant power to intergenerational relationships. In the group eligible for public pension, it was found that age, income and net assets, ADL(Activities of Daily Living), whether there was an IADL(Instrumental Activities of Daily Living) spouse, and number of children affected types of intergenerational relationships; Socio-demographic factors, economic factors, and healthy factors became significant variables according to the classified types of intergenerational relationship. Based on the study results, this work suggested such necessities to lay the foundation for an elderly welfare system for social adaptation in later life, This includes the offering of programs for retirement preparation, the use of family and local society resources, and expansion of the opportunity to participate in social activities.

• The Journal of the Korea Contents Association
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• v.12 no.12
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• pp.779-786
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• 2012

The purpose of this study was to segment latent horse riding market. Demographic characteristic, psychological characteristic, lifestyle, and perception of horse riding factor were included in the segmentation basis but, only lifestyle was useful factor for horse riding industry. The statistical techniques for data analysis were descriptive analysis, explanatory factor analysis, confirmatory factor analysis, reliability analysis, cluster analysis, crosstab analysis, and Chi-square analysis. The result showed that sport activity, activity, and passivity factor were identified by lifestyle. The latent market of horse riding had two segment markets. First segment was known as a sport activity oriented group and the other is nonactivity oriented group. According to three demographic variables and preference of horse riding were statistical significant at the level of .05.

• The Transactions of the Korea Information Processing Society
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• v.6 no.8
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• pp.2060-2071
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• 1999

The complicate software failure system is defined to the superposition of the points of failure from several component point process. Because the likelihood function is difficulty in computing, we consider Gibbs sampler using iteration sampling based method. For each observed failure epoch, we applied to latent variables that indicates with component of the superposition mode. For model selection, we explored the posterior Bayesian criterion and the sum of relative errors for the comparison simple pattern with superposition model. A numerical example with NHPP simulated data set applies the thinning method proposed by Lewis and Shedler[25] is given, we consider Goel-Okumoto model and Weibull model with GOS, inference of parameter is studied. Using the posterior Bayesian criterion and the sum of relative errors, as we would expect, the superposition model is best on model under diffuse priors.

• Journal of KIISE:Software and Applications
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• v.32 no.11
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• pp.1071-1083
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• 2005

By estimating probability distributions of the good solutions in the current population, some researchers try to find the optimal solution more efficiently. Particularly, finite mixtures of distributions have a very useful role in dealing with complex problems. However, it is difficult to choose the number of components in the mixture models and merge superior partial solutions represented by each component. In this paper, we propose a new continuous evolutionary optimization algorithm with distribution estimation by variational Bayesian mixtures of factor analyzers. This technique can estimate the number of mixtures automatically and combine good sub-solutions by sampling new individuals with the latent variables. In a comparison with two probabilistic model-based evolutionary algorithms, the proposed scheme achieves superior performance on the traditional benchmark function optimization. We also successfully estimate the parameters of S-system for the dynamic modeling of biochemical networks.

• Korean Journal of Agricultural and Forest Meteorology
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• v.6 no.3
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• pp.149-163
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• 2004

Evapotranspiration (ET) is a critical component of the hydrologic cycle which influences economic activities as well as the natural ecosystem. While there have been numerous studies on ET estimation for homogeneous areas using point measurements of meteorological variables, monitoring of spatial ET has not been possible at landscape - or watershed - scales. We propose a site-specific application of the land surface model, which is enabled by spatially interpolated input data at the desired resolution. Gyunggi Province of South Korea was divided into a regular grid of 10 million cells with 30m spacing and hourly temperature, humidity, wind, precipitation and solar irradiance were estimated for each grid cell by spatial interpolation of synoptic weather data. Topoclimatology models were used to accommodate effects of topography in a spatial interpolation procedure, including cold air drainage on nocturnal temperature and solar irradiance on daytime temperature. Satellite remote sensing data were used to classify the vegetation type of each grid cell, and corresponding spatial attributes including soil texture, canopy structure, and phenological features were identified. All data were fed into a standalone version of SiB2(Simple Biosphere Model 2) to simulate latent heat flux at each grid cell. A computer program was written for data management in the cell - based SiB2 operation such as extracting input data for SiB2 from grid matrices and recombining the output data back to the grid format. ET estimates at selected grid cells were validated against the actual measurement of latent heat fluxes by eddy covariance measurement. We applied this system to obtain the spatial ET of the study area on a continuous basis for the 2001-2003 period. The results showed a strong feasibility of using spatial - data driven land surface models for operational monitoring of regional ET.