• Korean Journal of Agricultural Science
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• v.46 no.4
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• pp.915-930
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• 2019

The purpose of this study was to investigate how subcategories of the country-specific-advantage (CSA), which has been discussed in previous studies, affect the buying intention of Korean rice. After reviewing existing studies and examining research models based on them, a research model was verified by questionnaires and statistical analysis. The results of the surveys and statistical analyses reveal that the CSA factors presented in previous studies can also be applied in the context of Korean rice products. The results show that environmental resource, cultural resource and visual element factors influenced the buying intention through perceived quality. In addition, cultural resource perception factors have a direct effect on buying intention. This is consistent with previous studies showing that emotional communication approaches are ineffective for products that are perceived to have functional characteristics. Based on the results of this study, it was confirmed that CSA factors are suitable for the product and export target area. Strategic implications are suggested in that it is necessary to build marketing strategies to improve the perceived quality by the four factors. The theoretical implications are as follows. The sub-factors that constitute COI may have a negative effect and a positive effect; thus, it is necessary to utilize CSA when considering the product and country characteristics. The CSA factors revealed in previous studies are also significant in other regions and products. Finally, the theoretical implication is that consumers use CSA as a clue to evaluate quality.

• Architectural research
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• v.22 no.2
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• pp.53-61
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• 2020

The purpose of this study is to examine the influence of remoteness between exit stairways on evacuation performance. Firstly, we reviewed the design regulations of the U.S., the U.K., and South Korea, in relation to remoteness between Exit stairways. Secondly, evacuation simulation was implemented, in order to evaluate the adequacy of each standard. Eight tall buildings in South Korea were selected for the simulation. Evacuation performance was assessed for different remote distances between Exit stairways. Lastly, this research analyses the evacuation simulation data statistically in relation to the effect of remoteness on evacuation time. We found that as the distance between two exit stairways increases, the total evacuation time and average evacuation time for evacuees decreases. There was no statistical influence between the maximum travel distance of the evacuee and the remoteness between two exit stairways, but there was a significant effect on the average travel distance of the evacuees. In addition, the results from the optimal point showed that the L_ratio had the highest evacuation time at 0.44, while the D_ratio had the highest evacuation time at 0.38.

• Journal of Technologic Dentistry
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• v.36 no.1
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• pp.17-23
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• 2014

Purpose: The purpose of this study was to analyze and compare the relative accuracy of digitized stone models of lower full arch, using two different scanning system. Methods: Replica stone models(N=20) were produced from lower arch acrylic model. Twenty digital models were made with the white light and blue LED($Medit^{(R)}$, Korea) scanner. Two-dimensional distance between the landmarks were measured on the Delcam $CopyCAD^{(R)}$(Delcam plc, UK). Independent samples t-test was applied for comparison of the groups. All statistical analyses were performed using the SPSS software package(Statistical Package for Social Sciences for Windows, version 12.0). Results: The absolute disagreement between measurements made directly on the two different scanner-based dental digital models was 0.02~0.04mm, and was not statistically significant(P>0.05). Conclusion: The precision of the blue LED optical scanner was comparable with the digitization device, and relative accuracy was similar. However, there still is room for improvement and further standardization of dental CAD technologies.

• Korean journal of food and cookery science
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• v.23 no.6
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• pp.930-939
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• 2007

The purpose of this study was to suggest ways for practical food coordination, by examining restaurant-visitor' expectation factors for food coordination in restaurants. Statistical analyses were carried out based on the statistical data collected via survey from the restaurant. visitors. For the data analysis, factor analysis, reliability analysis, frequency analysis, t-test, and ANOVA were applied, using the SAS 9.1(ver.) program. In the results for the general perception of food coordination, the degree of recognition by restaurant visitors for food coordination is not high. However, necessity for food coordination is highly recognized and a 70% of the respondents were positive in their response about an expropriation price. Fitty percent of the respondents indicated a positive response regarding the relationship between the visual effect of the food and a re-visit to the restaurant. Therefore, most restaurant visitors believe food coordination is necessary in restaurants, and expect to pay for it in price.

• Journal of the Society of Naval Architects of Korea
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• v.53 no.4
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• pp.307-314
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• 2016

Energy flow analysis(EFA) is a representative method that can predict the statistical energetics of structures at high frequencies. Generally, as the frequency increases, the shear distortion and rotatory inertia effects in the out-of-plane motion of beams or plates become important. Therefore, to predict the out-of-plane energetics of coupled structures in the high frequency range, the energy flow analyses of Timoshenko beam and Mindlin plate are required. Unlike the energy flow model of Kirchhoff plate, the energy flow model of Mindlin plate is composed of three kinds of energy governing equations(out-of-plane shear wave, bending dominant flexural wave, and shear dominant flexural wave). This paper performed the energy flow finite element analysis(EFFEA) of coplanar coupled Mindlin plates. For EFFEA of coplanar coupled Mindlin plates, the energy flow finite element formulation of out-of-plane energetics in the Mindlin plate was performed. The general EFFEA program was implemented by MATLAB® language. For the verification of EFFEA of Mindlin plate, the various numerical applications were done successfully.

• Communications for Statistical Applications and Methods
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• v.27 no.3
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• pp.385-395
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• 2020

We present a new maximum likelihood approach to estimate demographic history using genomic data sampled from two populations. A demographic model such as an isolation-with-migration (IM) model explains the genetic divergence of two populations split away from their common ancestral population. The standard probability model for an IM model contains a latent variable called genealogy that represents gene-specific evolutionary paths and links the genetic data to the IM model. Under an IM model, a genealogy consists of two kinds of evolutionary paths of genetic data: vertical inheritance paths (coalescent events) through generations and horizontal paths (migration events) between populations. The computational complexity of the IM model inference is one of the major limitations to analyze genomic data. We propose a fast maximum likelihood approach to estimate IM models from genomic data. The first step analyzes genomic data and maximizes the likelihood of a coalescent tree that contains vertical paths of genealogy. The second step analyzes the estimated coalescent trees and finds the parameter values of an IM model, which maximizes the distribution of the coalescent trees after taking account of possible migration events. We evaluate the performance of the new method by analyses of simulated data and genomic data from two subspecies of common chimpanzees in Africa.

• Asian Oncology Nursing
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• v.12 no.3
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• pp.221-229
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• 2012

Purpose: The purpose of this study was to identify correlates influencing cognitive impairment in breast cancer patients receiving chemotherapy. Methods: Study subjects consisted of 102 breast cancer patients who received chemotherapy. Subjects were the members of a breast cancer self-help group. Data were collected using structured self-reporting questionnaires including scales of cognitive impairment, physical status, fatigue, quality of life, emotional status, sleeping, family support, and menopausal symptoms. Statistical Package for Social Sciences was used for statistical analyses. Results: Breast cancer patients receiving chemotherapy appeared to show a high level of cognitive impairment. Among demographic characteristics, the effects of economic status and family type on cognitive impairment were found to be statistically significant. Among disease related characteristics, the effect of duration of chemotherapy on cognitive impairment was statistically significant. Menopausal symptoms were positively associated with cognitive impairment. The model including postmenopausal symptoms and caregiver type explained about 66% of variability in cognitive impairment. Conclusion: These findings highlight the importance of contextual factors in understanding cognitive impairment in breast cancer patients receiving chemotherapy and can be used to develop appropriate, effective nursing interventions.

• International Journal of Aeronautical and Space Sciences
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• v.16 no.3
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• pp.360-369
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• 2015

A methodology for determining the design allowables of composite laminates by using lamina level test data and finite element analysis (FEA) is proposed and verified in this paper. An existing method that yields the laminate design allowables by using the complete test results for laminates was improved to reduce the expensive and time-consuming tests. Input property samples for FEA were generated after considering the statistical distribution characteristics of lamina level test data., and design allowables were derived from several FEA analyses of laminates. To apply and verify the proposed method, Hexcel 8552 IM7 test data were used. For both un-notched and open-hole laminate configurations, it was found that the design allowables obtained from the analysis correctly predicted the laminate test data within the confidence interval. The potential of the present simulation to substitute the laminate tests was demonstrated well.

• Journal of Korean Society of Transportation
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• v.28 no.1
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• pp.51-61
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• 2010

The main objective of this paper is to analyze change of travel patterns according to public transportation reform. The paper uses data collected from Gyeongsan City. So far few researches, especially using before-and-after individual travel survey, have been conducted on analyzing effects of public transportation reform. For this research, some descriptive statistical analyses and statistical hypotheses tests were conducted. Furthermore, some empirical logit models were estimated for analyzing the individual effects of the public transportation reform. Finally, some important foundings, policy implications, and limitations of this research are discussed.

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2009.06a
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• pp.186-186
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• 2009

The characterization strategy of fracture networks are classified into a deterministic or statistical characterization according to the type of required information. A deterministic characterization is most efficient for a sparsely fractured system, while the statistics are sufficient for densely fractured rock. In this study, the ensemble mean and variability of the effective connectivity is systematically analyzed with various density values for different network structures of a power law size distribution. The results of high resolution Monte Carlo analyses show that statistical characteristics can be a necessary information to determine the transport properties of a fracture system when fracture density is greater than a percolation threshold. When the percolation probability (II) approaches unity with increasing fracture density, the effective connectivity of the network can be safely estimated using statistics only (sufficient condition). It is inferred from conditional simulations that deterministic information for main pathways can reduce the uncertainty in estimation of system properties when the network becomes denser. Overall results imply that most pathways need to be identified when II < 0.5 statistics are sufficient when II $\rightarrow$ 1 and statistics are necessary and the identification of main pathways can significantly reduce the uncertainty in estimation of transport properties when 0.5$\ll$1. It is suggested that the proper estimation of the percolation probability of a fracture network is a prerequisite for an appropriate conceptualization and further characterization.